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+MOP4 de Mit der Niederlage endete das oströmische Exarchat von Karthago . 9 3, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.875
+MOP4 de "Iho" steht oft nach Verben , die Körperfunktionen ausdrücken und für unser Verständnis nicht reflexiv sind , wie essen ("ʻai") , trinken ("inu") und denken ("manaʻo") . 19 2, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP4 de Zwischenzeitlich zeigt sich eine Trendwende bei den Geburten . 8 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.82352941176
+MOP4 de Diese Flöze treten hier mit nach Norden gerichtetem Einfallen an das Tageslicht , sie sind dort von glaukonitischen Sandsteinen der Oberkreidezeit ("Essener Grünsandstein") überdeckt . 21 3, 2, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.64285714286
+MOP4 de Auf sie folgte ihr Sohn Wolfgang von Freundsberg; dieser verstarb kinderlos im Jahre 1449 . 14 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 de 2013 unterschrieb er beim italienischen Serie A-Aufsteiger Hellas Verona einen Vierjahresvertrag und wurde dort am 28. Juni 2013 als Neuzugang präsentiert . 21 3, 4, 4, 4, 2, 4, 3, 4, 4, 4, 4, 4, 4, 3, 3 3.6
+MOP4 de Gegen 11:40 Uhr brachen aus der 400 Meter hohen senkrechten Felswand an der Südwand des Flimsersteins kleinere Felspartien los . 19 2, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.66666666667
+MOP4 de Beim Abschlagen mit einem Durchschläger verkantet der Konus und beschädigt den Sitz der Gabel . 14 3, 1, 4, 4, 3, 4, 4, 2, 4, 3, 4, 4, 4, 4 3.42857142857
+MOP4 de Hierbei sei „eine deutliche Steigerung der Intensität bis hin zu schwersten Straftaten feststellbar. “ 12 3, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4 3.8
+MOP4 de Im Deutsch-Französischen Krieg 1870/71 diente er als Reserveoffizier . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3 3.93333333333
+MOP4 de Von 1884 bis 1888 war er Präsident der "Partidul Național Român din Transilvania și Banat" (PNR , Rumänische Nationalpartei) . 15 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.85714285714
+MOP4 de Einzelne Erzieherinnen oder Lehrer bestreiten die gesamte Betreuung oder Ausbildung der Kinder einer Gruppe oder Klasse , die noch fächerunabhängig , aber bereits fächerorientiert stattfindet . 23 2, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.73333333333
+MOP4 de Heute dient die ehemalige Klosterkirche der katholischen Gemeinde Sainte-Colette-des-Trois-Vallées . 9 3, 4, 3, 3, 4, 3, 4, 4, 4, 4, 4, 4, 3, 3 3.57142857143
+MOP4 de Melchiors Mutter beantwortet einen Brief von Moritz , der um Geld zur Flucht nach Amerika bittet . 15 3, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.85714285714
+MOP4 de Er traf die wichtigsten Entscheidungen , um größere Explosionen zu vermeiden und informierte die Regierung über die Situation in der Zone . 19 3, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP4 de Während dieser Zeit veröffentlichte sie unter anderem Sonderdrucke für den Schweizerischen Nationalfonds und für die Schweizerische Hilfsaktion für Kriegsnotleidende Studenten . 20 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 4 3.8
+MOP4 de Am 20. Dezember 1994 wurde die Cl Maschinenbau GmbH gegründet . 10 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.9375
+MOP4 de Die Einwohnerzahl der Ortschaft hat sich in den vergangenen beiden Jahrzehnten nur unwesentlich verändert : 14 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 de Dann ging er zum Gegenangriff über und konnte den Gegner zurückwerfen . 10 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.85714285714
+MOP4 de Die Mandel-Weide ist ein großer Strauch bis kleiner Baum , der eine Wuchshöhe von 10 Meter erreichen kann . 17 4, 2, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP4 de Im Verlauf der Kampfhandlungen kamen noch 27 polnische Maschinen dieser Bauart als 54.141–167 zur DR . 15 3, 3, 3, 4, 4, 3, 3, 4, 2, 3, 4, 4, 4, 4, 3 3.4
+MOP4 de Anfang 1980 ergänzte ein 2000 GLX Kombi das Angebot . 9 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 de Das brennende Bett ist eine US-amerikanisches Fernseh-Drama aus dem Jahr 1984 . 11 3, 4, 3, 4, 3, 3, 3, 4, 3, 3, 3, 3, 3, 3, 3 3.2
+MOP4 de Da seine Bilder einen zum Teil abstrakten Charakter haben , wurden sie in dieser Zeit oftmals als formalistisch angegriffen . 18 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.86666666667
+MOP4 de Zunächst wurde das Institut kommissarisch von Hermann Schubnell (1910–1996) geleitet , erster ordentlicher Direktor des BiB war der Anthropologe Hans Wilhelm Jürgens . 20 2, 4, 4, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 4 3.73333333333
+MOP4 de Sultan Mastura ist eine philippinische Stadtgemeinde in der Provinz Maguindanao . 10 2, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4 3.73333333333
+MOP4 de Da Sebastian Schertlin am Kriegshandwerk Gefallen fand , war er fortan an nahezu allen Heerzügen in Mittel- und Südeuropa in jener Zeit beteiligt . 22 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3 3.86666666667
+MOP4 de Während der 80er nahm sein Alkohol- und Drogenkonsum überhand und hielt ihn die meiste Zeit vom kreativen Arbeiten ab . 18 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.92857142857
+MOP4 de Als ehemaliges Staatsoberhaupt hat er lebenslang Anspruch auf die vollen Amtsbezüge aus der Amtszeit („Ehrensold“) , sowie auf ein eigenes Büro und Dienstwagen . 21 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.86666666667
+MOP4 de Banknotenpapier wird , von wenigen Ausnahmen abgesehen , auf so genannten Gleichstrom-Rundsieb-Maschinen hergestellt . 11 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.92857142857
+MOP4 de Eine Bestandsaufnahme kann vor allem die Grundlage für eines oder mehrere der folgenden Ziele sein : 15 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.86666666667
+MOP4 de Dienstgradherabsetzungen werden in ihrer Schwere lediglich von der "Entfernung aus dem Dienstverhältnis" übertroffen . 11 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.9375
+MOP4 de Nuda-Arten ernähren sich von freischwimmenden Tieren mit weichem Körper , in erster Linie von anderen Rippenquallen , die durchaus größer als sie selbst sein können . 23 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.86666666667
+MOP4 de Gesichert ist , dass die Ortschaft Kappel an einer Altstraße lag . 10 4, 2, 4, 4, 4, 2, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3 3.625
+MOP4 de zog sich später auf die Dillsburg in der Nähe von Bockenem zurück . 12 3, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4, 2, 3 3.57142857143
+MOP4 de Bei Torgleichheit nach 90 Spielminuten wird mit einer Verlängerung und einem möglichen anschließenden Elfmeterschießen sofort eine Entscheidung herbeigeführt . 18 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.9375
+MOP4 de NGC 1748 wurde 1836 von John Herschel entdeckt und ist im New General Catalogue verzeichnet . 15 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.85714285714
+MOP4 de Vom österreichischen Geheimdienst wurde er als Diplomat in Stockholm und Bern eingesetzt . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 de Die Wohnbauten waren Holzhäuser , ferner gab es Türme , Grabgewölbe und heidnische Kultplätze . 12 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.92857142857
+MOP4 de Jedoch hatte sich anfänglich nur einer der führenden Männer der "Sons of Liberty" die Forderung zu eigen gemacht . 17 3, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 4, 3 3.71428571429
+MOP4 de Auch die Geschichte dieses Verkehrsweges begann mit einem Kanalprojekt . 9 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 de Das gilt auch für einige Bögen der Fenster . 8 3, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.875
+MOP4 de Die Strecke wurde 1971 zur Autobahn A 221 aufgestuft , die 1974 ihre heutige Nummer erhielt . 15 2, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4 3.66666666667
+MOP4 de Einige der sogenannten "Gila Apache" gehörten jedoch der Bedonkohe Band sowie der "Copper Mines"-Lokalgruppe der Chihenne Band der Chiricahua Apache an . 19 3, 4, 2, 3, 2, 3, 3, 1, 1, 3, 2, 3, 4, 4, 4 2.8
+MOP4 de Nach den Wirren des Dreißigjährigen Krieges wurde die Kirche 1666 wieder aufgebaute . 12 2, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 3, 3, 3 3.07142857143
+MOP4 de Carolyn Christov-Bakargiev ist mit dem italienischen Performancekünstler Cesare Pietroiusti (* 1955) verheiratet und hat zwei Töchter . 15 3, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.85714285714
+MOP4 de Ab dem zweiten Larvenstadium sind die weiblichen Deckelschildläuse sesshaft und besitzen auch keine Beine mehr . 15 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 de Die zerfetzten Schuhe und der verdreckte Hemdkragen sprechen dagegen . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 de In Lahti beendete der Finne am 6. März 2004 seine erfolgreiche Karriere mit einem dritten Rang . 16 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 de Im DFB-Pokal erzielte er für seine Mannschaften in acht Spielen fünf Tore . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 de Die beiden Partien der Serie im Modus Best-of-Two fanden am 24. und 30. August 2008 statt . 16 2, 4, 2, 4, 4, 2, 3, 4, 3, 4, 4, 4, 4, 4, 4 3.46666666667
+MOP4 de Die Zeitschrift "TV direkt" 10/2007 schrieb , der Film spiele „"geschickt"“ mit den „"Urängsten"“ der Menschen . 12 3, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.75
+MOP4 de Zuvor wurden Ozeanwasser und geschmolzener Schnee als Referenzpunkte genutzt . 9 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 3, 4, 3 3.76470588235
+MOP4 de Auch aus umliegenden Orten gibt es Mitglieder , sogar aus ganz Deutschland . 11 3, 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.8
+MOP4 de Der "primäre" Tuffit entsteht während eines Vulkanausbruchs und tritt insbesondere bei plinianischen Eruptionen in Erscheinung . 14 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.86666666667
+MOP4 de Abhilfe sollte die Umstellung auf Omnibusbetrieb oder , in größeren Städten , der Bau bzw. Ausbau von Untergrundbahnstrecken schaffen . 17 3, 3, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP4 de Kommerzialrat Lechner will nach den Erfahrungen mit dem offenbar gesundenden Bürgermeister und dessen mitreißender Parlamentsrede in Sachen Lueger nicht länger auf das Schicksal hoffen . 24 3, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4 3.78571428571
+MOP4 de Sie begrenzt das Rheinufer Süd nach Norden hin . 8 2, 4, 4, 3, 2, 4, 3, 4, 3, 3, 4, 4, 4, 3, 4 3.4
+MOP4 de Die 10 ,5 cm Panzerturmkanone 1939 L52 hatte eine Mündungsgeschwindigkeit von 830 m/sek und eine Schussreichweite bis maximal 22 Kilometer (mit Spitzgranate 24 Kilometer) . 22 2, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP4 de Die genannte Margarete ist vermutlich das Vorbild der legendären Margarete vom Litermont aus der ortlichen Maldix-Sage . 16 3, 4, 3, 3, 4, 4, 3, 3, 4, 4, 4, 4, 3, 4 3.57142857143
+MOP4 de "Black Pete" , eine Analogie zum Gesellschaftsspiel „Schwarzer Peter“) ist Mickys Erzfeind . 9 3, 4, 4, 3, 1, 3, 3, 4, 3, 3, 4, 4, 4, 2, 3 3.2
+MOP4 de Schon als Gymnasiast hatte sich Meinecke für Popkultur begeistert . 9 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 de Cobham ist eine Stadt im Verwaltungsbezirk Elmbridge in der Grafschaft Surrey . 11 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3 3.8125
+MOP4 de Das Verbreitungsgebiet erstreckt sich dabei von Cooktown in Queensland bis in den Norden zum Daintree River . 16 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 de Sein Œuvre umfasst eine Oper "Kleider machen Leute" , zehn Symphonien , sieben Konzerte , Kammermusik und Lieder . 13 3, 2, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.6875
+MOP4 de dem Bärtigen 1045 von einem kaiserlichen Heer zerstört wurde . 9 4, 4, 1, 2, 3, 1, 3, 1, 2, 2, 2, 3, 2, 1, 1 2.13333333333
+MOP4 de Insbesondere sollte die oben ausgeführte Verfolgung der Abstiegsphase des Landers mittels Telemetrie ein wichtiges neues Element sein . 17 3, 4, 4, 4, 3, 4, 3, 4, 4, 3, 4, 3, 4, 4, 4, 4 3.6875
+MOP4 de In Bobigny wurde im April 1988 eine neue Betriebswerkstatt in Betrieb genommen , die auch für die Straßenbahnlinie 1 zuständig ist . 20 3, 4, 4, 4, 3, 4, 4, 4, 4, 4, 2, 4, 4, 4 3.71428571429
+MOP4 de Nach der Entscheidung des Präsidenten Ali Saibou , ein Mehrparteiensystem einzuführen , gründete Ousmane im Januar 1991 die sozialdemokratische Partei Demokratische und soziale Versammlung (CDS-Rahama) . 22 2, 4, 4, 3, 3, 3, 3, 4, 4, 4, 4, 4, 3, 4 3.5
+MOP4 de Ziel dieser Maßnahme ist eine Verbesserung der Fahrgastinformation am Bahnhof Murnau . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 de Viele Onsen haben auch andere Spa-Einrichtungen , künstliche Wasserfälle , Massageangebote und Saunen . 11 3, 1, 4, 4, 1, 3, 3, 4, 3, 3, 4, 1, 3, 3, 4 2.93333333333
+MOP4 de S. , im modernen Logikkalkül; Auf jeden Fall logisch differenzierter) nur durch eine Miteinbeziehung der Objekte der Komplementklassen der vorkommenden Begriffe geeignet interpretiert werden kann . 24 2, 3, 3, 3, 1, 3, 3, 2, 2, 1, 3, 1, 1, 2, 1 2.06666666667
+MOP4 de Überregional bekannt wurde der Ort durch die katholische Ordensgemeinschaft der Dernbacher Schwestern . 11 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.92857142857
+MOP4 de Auch kritisierte er den Einsatz von Autotune im Stück "Million Dollar Houses" und beschrieb diesen als hässlichen Kopf der Musik des Albums . 21 3, 4, 4, 3, 3, 4, 4, 3, 4, 4, 3, 3, 4, 4 3.57142857143
+MOP4 de Arbeiten an der eigentlichen Querspange: Vom 10. September 2012 an wurde eine Umfahrung für die Baustelle der Brücke Schattbachstraße eingerichtet . 20 3, 4, 4, 4, 3, 4, 3, 4, 4, 4, 3, 2, 4, 4, 4 3.6
+MOP4 de Der Erfolg lag in der tiefgreifenden Umstrukturierung der französischen Gesellschaft in den 50 Jahren begründet , die auf die Französische Revolution folgten . 21 3, 4, 4, 4, 2, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.73333333333
+MOP4 de İlkay Akkaya (* 26. Mai 1964 in Istanbul) ist eine alevitische Sängerin und Mitglied der türkischen Musikgruppe Grup Kızılırmak . 17 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.86666666667
+MOP4 de Zu Beginn des Jahres 1906 hatte Shackleton mit ersten Planungen einer eigenen Antarktisexpedition begonnen . 14 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.92857142857
+MOP4 de Im Südosten befindet sich die ehemalige Schachtanlage Burggraf- Bernsdorf bei Kahlwinkel . 11 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.85714285714
+MOP4 de In der Anhörung sprach Brady auch selbst zu seiner Situation . 10 2, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP4 de Sämtliche Hügelgräber befinden sich in den Grenzen des ehemaligen Großherzogtums Baden . 11 3, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.86666666667
+MOP4 de Je nach Kartendarstellung ist dieser Name bis zur Einmündung des Rettenbaches , bis zur Einmündung des Betleitenbaches/Osterwitzbaches im Gebiet von Freiland oder bis Deutschlandsberg verwendet . 24 2, 3, 4, 1, 2, 3, 4, 3, 3, 4, 4, 4, 4, 3 3.14285714286
+MOP4 de Adolf Dyroff (* 2. Februar 1866 in Damm; † 3. Juli 1943 in München) war ein deutscher Philosoph . 16 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4 3.8125
+MOP4 de Nach Auffassung des IDW steht der Bildung eines Sammelpostens auch für den handelsrechtlichen Jahresabschluss grundsätzlich nichts entgegen . 17 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.92857142857
+MOP4 de Hier wurden Waren von den Niederlanden (Tuch) bis Italien (Seide , orientalische Waren) gehandelt . 11 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4 3.86666666667
+MOP4 de Der größte Teil der Transpiration geschieht beim Öffnen der Stomata . 9 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4 3.73333333333
+MOP4 de Die EWG Eberswalder Wurst GmbH und die EFG Eberswalder Fleisch GmbH sind Hersteller von Fleisch- und Wurstwaren in Britz (bei Eberswalde) . 20 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 de Der Weihbischof Wolfgang Bischof der Seelsorgsregion Süd des Erzbistums München und Freising stammt auch aus Freising . 16 3, 4, 4, 3, 3, 3, 4, 3, 4, 4, 4, 4, 4, 3, 4 3.6
+MOP4 de Zurück in Griechenland , gründete sie das "Laboratory for Traditional Instruments" am ORA Cultural Centre . 13 3, 4, 4, 4, 3, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP4 de Eine Smartwatch mit Android Wear benötigt zur Konfiguration und Benutzung ein per Bluetooth gekoppeltes Android-Gerät ab Version 4.3 . 18 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 de Grün begann seine Profikarriere 1983 beim RSC Anderlecht , für die er bis 1990 in der Jupiler League spielte . 18 3, 4, 3, 4, 3, 4, 4, 3, 4, 4, 4, 3, 4, 4 3.64285714286
+MOP4 de Die vorgeschriebenen Lesungen waren - , „Wettlauf um den Sieg“ , und , das Gleichnis von den Arbeitern im Weinberg . 15 2, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 3, 4 3.61538461538
+MOP4 de Diese Messen fanden ursprünglich vor allem auf dem Altstadtmarkt und dem Kohlmarkt statt . 13 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.9375
+MOP4 de Am 30. August 1398 gelobten die Brüder Rudprecht und Andre von Leubenegg dem Erzbischof Gregor von Salzburg die Gefolgschaft . 19 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 2 3.8
+MOP4 de Danach war er Assistent von Jahn und habilitierte sich 1903 (Präzisionskryoskopie von Nichtelektrolyten) . 12 2, 4, 4, 3, 4, 4, 3, 4, 4, 3, 4, 4, 3, 3 3.5
+MOP4 de Nach einigem Hin und Her kam sie 2013 , kurz nach einer Beziehung mit Till Kuhn (Bommel) , doch noch mit Vince Köpke zusammen . 21 3, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.8
+MOP4 de Die Festivalveranstalter entwickeln regelmäßig spezielle Fusion- oder Orchester-Projekte , die exklusiv bei den jazzopen zu erleben sind : 16 2, 2, 4, 4, 4, 4, 3, 3, 3, 4, 4, 4, 3, 3, 4 3.4
+MOP4 de Nach ihrer Rückkehr wurden sie vom Verband mit mehrmonatigen Spielsperren bestraft . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 de Matthijs war der mittlere von drei Brüdern , die anderen Geschwister waren Jacob Maris und Willem Maris . 16 3, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP4 de Es liegt an der A11 , einer Hauptstraße zwischen Norwich und London , südlich des Waldgebietes Thetford Forest . 16 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.86666666667
+MOP4 zh Diese Route ist die gesamte Shop -und Radwege und Straßen für den Verkehr gesperrt Betrieb , teilweise entlang der Weinberge . 18 2, 1, 2, 3, 1, 3, 3, 2, 2, 2, 2, 2, 1, 2 2.0
+MOP4 zh 1995 Kramer ersten WTA Hauptfeld WTA-Turnier in Los Angeles . 9 2, 1, 2, 2, 1, 2, 2, 2, 1, 1, 1, 2, 1, 1, 2 1.53333333333
+MOP4 zh Verb Körperfunktionen zum Ausdruck bringen und unser Verständnis ist nicht reflexiv, wie Essen ("" AI " ) , ist der" irakischen Schatz " häufig , trinken ( " Hund " ) und Denken ( " Mana'o ") . 24 3, 1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 2, 1, 1, 2 1.46666666667
+MOP4 zh Da ist er jedoch nur 10 Jahre Bündnisoperationen . 8 1, 2, 3, 1, 2, 1, 2, 2, 3, 2, 2, 1, 2, 2, 2 1.86666666667
+MOP4 zh Amerika von Schäden an ihren Raumobjekten aus dem Vertrag zu haften platziert verursacht . 13 3, 1, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2 1.4
+MOP4 zh Diese Nähte erscheinen hier mit Regisseur Norden Dip während des Tages, waren sie da späten KreidesandsteinenGlaukonit ( " Essen grünen Sandstein " ) Berichterstattung . 20 1, 4, 3, 2, 2, 1, 3, 1, 2, 1, 1, 2, 1, 1, 3, 2, 1 1.82352941176
+MOP4 zh 2014 Veranstaltung ist jetzt über 2.200 Stelen Risse durchzogen ist . 9 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1 1.21428571429
+MOP4 zh Von ihrem Sohn Wolfgang Freundsberg gefolgt , starb kinderlos im Jahre 1449 diese 12 2, 1, 2, 2, 2, 3, 1, 1, 2, 1, 2, 2, 3, 2, 2 1.86666666667
+MOP4 zh Wer hat zuvor aus anderen kulturellen und Bewusstsein abgelehnt worden , so dass alle Derivate sind arbeitslos oder arbeiten Niedrigen Gegner . 20 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 3, 1, 2, 2 1.42857142857
+MOP4 zh Dies ist eine " signifikante Zunahme der Intensität einer schweren Straftat , die gefunden werden. " 13 3, 4, 2, 2, 2, 3, 1, 2, 3, 2, 1, 4, 2, 2 2.35714285714
+MOP4 zh Erschossen zu gehen, aber so schlecht, und schließlich ein Master-Image der Mehrheit der nicht- Stimme wurde . 16 3, 1, 1, 1, 1, 1, 1, 4, 2, 1, 1, 2, 1, 2, 1 1.53333333333
+MOP4 zh DC-9 abgestürzt Ausbruch des Konflikts ist noch in der Luft . 10 3, 1, 3, 3, 1, 2, 3, 3, 3, 1, 2, 2, 1 2.15384615385
+MOP4 zh Im Krieg 1870-1871 in Deutschland und Frankreich , diente er als Reserveoffiziere . 11 2, 3, 3, 3, 4, 4, 4, 4, 3, 4, 3, 3, 3, 3, 3 3.26666666667
+MOP4 zh Von 1884 bis 1888 die "Nationale Partidul Rom din Transilvania Recht Banat " (PNR , die rumänische Nationalpartei ) Präsident gewann er . 17 3, 1, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1 1.35714285714
+MOP4 zh Nest gebaut üppiger Vegetation und in der Nähe des Wasser meisten Arten im Stroh verankert . 14 3, 1, 2, 1, 2, 2, 2, 2, 1, 1, 2, 1, 1, 2 1.64285714286
+MOP4 zh Melchiors Mutter beantwortet den Brief Moritz , floh Geld in die Vereinigten Staaten . 12 3, 1, 2, 1, 2, 2, 2, 1, 1, 1, 2, 1, 2, 2 1.64285714286
+MOP4 zh Nach dem Vorhandensein von Metall Musik-Dateien von des Heiligen Geistes offiziellen Facebook ist das weltweit größte Online-Enzyklopädie aus Metall und Gestein Felder . 22 3, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 3, 1, 2 1.57142857143
+MOP4 zh In der Zwischenzeit veröffentlichte sie das andere abgedruckt Swiss National Science Foundation und der Schweizer Hilfswerke Kriegsnotleidende Studenten . 18 3, 1, 2, 2, 1, 3, 2, 3, 3, 2, 2, 2, 1, 2, 2 2.06666666667
+MOP4 zh 20. Dezember 1994 , Chlor Machinery Manufacturing Co., Ltd gegründet . 9 1, 1, 3, 1, 1, 3, 2, 2, 1, 4, 3, 3, 3, 1 2.07142857143
+MOP4 zh Im Verlauf der Kämpfe immer noch 27 Portland Art 54141-167 Maschine kam Dr . 13 1, 1, 3, 2, 2, 1, 3, 1, 2, 1, 1, 2, 1, 1, 2, 2, 1 1.58823529412
+MOP4 zh Trotz Niedersachsen hob Bereitschaftspolizei im Jahr 1951 , die bis dahin zum Teil von der Bundesregierung finanziert wird, aber im Jahre 1955 ein . 22 3, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 3, 1, 3 1.46666666667
+MOP4 zh Ausgangszuweisung wird als passive wirtschaftlichen Ausgleich und die Einkommensverteilung als eine effektive wirtschaftliche Entschädigung . 14 3, 2, 2, 1, 3, 2, 2, 2, 2, 2, 3, 1, 2, 2 2.07142857143
+MOP4 zh Die Betten sind Brennen der amerikanischen TV- Serie in 1984. Do 11 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 1 1.28571428571
+MOP4 zh Weil einige seiner abstrakten Bilder, sie oft Angriff in den Formalismus der Periode . 13 2, 1, 3, 1, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1 1.42857142857
+MOP4 zh Erstens, Lätzchen Schule ist vorübergehend von Herman Schubnell (1910至1996) führte die erste reguläre Direktor William Anthropologe Hans Jürgen . 17 3, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 2 1.4
+MOP4 zh Sultan Mastura ist Mindanao Provinzen und Gemeinden auf den Philippinen, Malaysia Peking . 12 3, 1, 2, 1, 3, 1, 2, 3, 2, 2, 2, 1, 3, 1, 2, 2 1.9375
+MOP4 zh Diese neue Beschaffungspolitik , zuerst eingeführt Multi-Engine- Design " Armstong Whitworth AW154 10 3, 1, 2, 1, 2, 1, 1, 3, 3, 2, 1, 3, 2, 1, 2, 3 1.9375
+MOP4 zh In den 1980er Jahren war seine Alkohol -und Drogenmissbrauch weit verbreitet, und hielt die meisten seiner kreativen Arbeit . 17 2, 1, 2, 4, 2, 3, 2, 2, 1, 3, 3, 2, 2, 1, 2 2.13333333333
+MOP4 zh Als ehemaliger Staatschef , hatte er eine lebenslange Laufzeit ( " Vergütung " ) , sowie eine vollständige Bezahlung Arbeitszimmer , Fahrzeugen des Unternehmens . 17 3, 1, 3, 2, 1, 3, 1, 2, 3, 3, 3, 3, 4, 2, 2 2.4
+MOP4 zh Listen können in erster Linie auf eine oder mehrere der folgenden Ziele basieren: 13 3, 3, 3, 3, 2, 4, 4, 3, 4, 3, 4, 2, 3, 3, 4 3.2
+MOP4 zh Um in Yunnan gebaut worden , wird von einigen Autoren als erste Kettenbrücke betrachtet . 13 2, 1, 2, 1, 1, 3, 3, 2, 2, 1, 2, 1, 3, 2, 2 1.86666666667
+MOP4 zh Auf die erste industrielle Produktion von Hartfett Burlington auch dauerte nur zwei Jahre . 13 2, 1, 2, 2, 1, 3, 2, 4, 2, 2, 2, 1, 1, 2, 2 1.93333333333
+MOP4 zh Ihre Zeichnungen und Radierungen nehmen ihre individuellen künstlerischen Handschrift . 9 2, 2, 2, 3, 2, 3, 3, 3, 2, 2, 2, 3, 2, 3, 4, 3 2.5625
+MOP4 zh Pilzarten auf freischwimmende Tierfutter mit einem weichen Körper , vor allem aus anderen Rippenqualle , die leicht größer ist als sie selbst sein kann . 22 3, 1, 1, 2, 1, 2, 3, 2, 2, 1, 3, 1, 1 1.76923076923
+MOP4 zh Seine Leistung im Stadtrat sollte einen hohen Rhetorik und voller Humor und Geist der Gegner zu haben , ist, dass 19 3, 1, 2, 1, 2, 1, 2, 3, 1, 1, 3, 2, 1, 1, 1 1.66666666667
+MOP4 zh Später zog sich in der Nähe von Bockenem von Dills . 10 3, 3, 2, 3, 1, 2, 2, 2, 2, 1, 1, 1, 2, 1 1.85714285714
+MOP4 zh Sein Interesse an der Wissenschaft seit 1795 ist die erste große Zoologie . 12 3, 1, 3, 2, 3, 2, 3, 2, 4, 2, 3, 1, 4, 3, 2, 2 2.5
+MOP4 zh NGC 1748 wurde 1836 von John Herschel und Spalten in der New General Catalogue entdeckt . 15 3, 1, 3, 1, 2, 2, 2, 2, 3, 1, 2, 4, 2, 3 2.21428571429
+MOP4 zh Österreichischen Spion , er als Diplomat in Stockholm und Bern tätig . 9 3, 2, 2, 3, 1, 3, 3, 3, 2, 1, 2, 1, 3, 2, 2 2.2
+MOP4 zh Ihre Puppentheater und einige landwirtschaftliche zwei nebeneinander bestehen . 8 3, 1, 2, 1, 3, 2, 2, 1, 1, 3, 1, 1, 1, 1 1.64285714286
+MOP4 zh So Ecolight Flugzeuge ist eine nationale Zertifizierung, nicht nur in Europa , nach JAR / EASA . 14 3, 3, 3, 3, 1, 3, 2, 1, 2, 2, 4, 3, 1, 1, 2 2.26666666667
+MOP4 zh Doch in der "Sohn der Freiheit" ist , nur ein Anfang Führer haben den Anspruch als ihre eigenen angehoben . 17 4, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 2, 1, 2 1.5
+MOP4 zh Entfernung 1971 erhöhte sich auf Autobahn 221 im Jahr 1974 auf seinem aktuellen Nummer empfangen . 15 3, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2 1.35714285714
+MOP4 zh Daher kann sie schließlich verhindern erhebliche Verluste auf ihrer Seite und auf dem Dnjepr relativ geordneten Rückzug . 17 4, 1, 2, 2, 3, 2, 1, 2, 1, 1, 3, 1, 2, 1 1.85714285714
+MOP4 zh Nach den Wirren des Dreißigjährigen Krieges , der Kirche und wurde 1666 gebaut . 12 3, 1, 2, 1, 1, 3, 3, 1, 3, 2, 1, 2, 3, 1, 1, 2 1.875
+MOP4 zh Schimmelpfennig ist der jüngste von drei Brüdern in einer Familie von Musikern . 12 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.85714285714
+MOP4 zh In Lahti, Finnland schloss die 6. März 2004 war er eine erfolgreiche Karriere Drittel . 14 3, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 1 1.4
+MOP4 zh In DFB- FA Cup, erzielte er fünf Tore in acht Spielen , und seinem Team . 14 3, 2, 2, 3, 2, 2, 3, 2, 4, 3, 3, 1, 1, 2, 2 2.33333333333
+MOP4 zh Die beste in der Reihe, die zwei Abschnitte der beiden Modi , ereignete sich im August 24. und 30. März 2008 . 20 3, 3, 2, 1, 2, 3, 3, 3, 2, 1, 4, 3, 3, 3, 2 2.53333333333
+MOP4 zh Zuvor wird das Meer und der Schneeschmelze als Bezugspunkt verwendet . 10 2, 4, 3, 1, 2, 3, 3, 2, 3, 2, 3, 2, 3, 4 2.64285714286
+MOP4 zh Kinder und Erwachsene können gleichermaßen ihr Problem zu lösen . 9 2, 2, 3, 2, 2, 3, 4, 3, 3, 2, 3, 2, 2, 3, 3 2.6
+MOP4 zh Von 1909 bis 1918 war sie Vorstandsmitglied der Liberalen Partei des linken Flügels . 13 3, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4 3.75
+MOP4 zh Sanierungsmaßnahmen sollte der Bus-Betrieb in den größeren Städten , den Bau oder die Erweiterung der U-Bahnlinien umgeschaltet werden , oder . 18 3, 1, 2, 1, 2, 3, 2, 2, 1, 2, 2, 1, 1, 2 1.78571428571
+MOP4 zh Früh in die Ursprünge der Pläne, eine Handelshafen in diesem Bereich bauen 19. Jahrhundert . 14 3, 1, 2, 2, 1, 3, 2, 1, 1, 2, 1, 1, 1, 1, 2 1.6
+MOP4 zh Kommerzialrat Lechner nicht mehr wünschen, respektieren und Erfahrung Lueger war Bürgermeister der Rehabilitation, das Schicksal seiner Rhetorik nach heftigen Parlamentsrede . 20 4, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 2, 1, 2, 1 1.46666666667
+MOP4 zh 14 -Jährigen Arbeitsplatz wird durch eine Ratsche Kirchenglocken in der Karwoche ersetzt . 11 3, 1, 3, 3, 1, 2, 1, 1, 3, 2, 1, 3, 1, 1, 2 1.86666666667
+MOP4 zh Das 10,5 cm Revolver 1939 L52 hat eine 830 m / s Mündungsgeschwindigkeit und Reichweite bis zu 22 km (24 km Spitze Granaten ) . 21 3, 1, 2, 1, 1, 3, 2, 1, 3, 3, 4, 3, 2, 3, 1 2.2
+MOP4 zh James Maurice Gavin in der 23. Tod im Februar 1990 bei der Keswick Nursing Home in Baltimore an der Parkinson- Krankheit . 21 3, 1, 2, 2, 1, 2, 2, 2, 2, 1, 1, 1, 1, 2 1.64285714286
+MOP4 zh Nachbargemeinden Badolato , St. Sostene圣安德烈亚阿persischen Zeitung Ionio und Trotzki . 8 2, 1, 1, 1, 1, 1, 1, 3, 1, 2, 1, 2, 1, 2, 2 1.46666666667
+MOP4 zh Marguerite sagte , wahrscheinlich aus Litermont Legende Margaret von der lokalen Regierung Maldix Legende Prototyp . 14 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2 1.26666666667
+MOP4 zh Von 1951 , sein wissenschaftlicher Mitarbeiter , der letzte Redner auf dem Zentralinstitut für Bildung in Berlin , Deutschland . 16 3, 1, 3, 1, 1, 2, 2, 1, 2, 2, 2, 3, 1, 2, 2 1.86666666667
+MOP4 zh Anschließend trat er in die Band China Beach . 8 3, 2, 3, 3, 2, 4, 3, 2, 3, 3, 2, 3, 3, 3, 3, 3 2.8125
+MOP4 zh Helen Frankenthaler starb mit 83 Jahren 27. Dezember 2011 . 9 2, 4, 3, 4, 2, 3, 3, 3, 3, 3, 3, 3, 3, 4, 3 3.06666666667
+MOP4 zh " Der Schwarze Peter " , eine Metapher Wohnzimmer -Spiel "Black Peter" ) ist Mitch Nemesis . 10 3, 1, 2, 1, 3, 2, 2, 2, 2, 1, 1, 3, 2, 1, 1, 1 1.75
+MOP4 zh Von 1965 war er als Rechtsanwalt in Portland . 8 2, 3, 4, 3, 2, 4, 3, 3, 3, 3, 4, 3, 3, 3, 3 3.06666666667
+MOP4 zh Cobham ist eine Stadt in Surrey Elmbridge administrativen Bereichen . 9 3, 1, 2, 1, 1, 3, 1, 3, 3, 3, 3, 3, 2, 2 2.21428571429
+MOP4 zh Auch der Sohn des Sängers , hat sie auf der Außenseite versteckt , keine Augen , dominiert das Gespräch . 16 3, 1, 2, 2, 1, 1, 3, 1, 1, 1, 2, 1, 2, 1 1.57142857143
+MOP4 zh Nicht lange her, da Angelica , Captain von der Saale Tochter , von vorne durch , begann für zu Hause . 17 2, 1, 2, 1, 2, 2, 1, 2, 1, 1, 2, 1, 1, 2 1.5
+MOP4 zh Zu seinen Werken zählen die Oper " Kleider machen Leute ", 10 Sinfonien, sieben Konzerte, Kammermusik und Lieder . 16 3, 4, 4, 4, 4, 3, 4, 4, 3, 4, 3, 4, 4, 4, 4 3.73333333333
+MOP4 zh Insbesondere durch das Aufspüren der Anlegestelle eines Schlüssels mit Hilfe eines neuen Telemetrie- Element sollte . 15 3, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 3, 3, 1, 1, 1 1.8125
+MOP4 zh In Bobigny, neue Wartungswerkstattoffiziell in Betrieb im April 1988, verantwortlich für die Straßenbahn auf der 1. Zeile ist gesetzt . 19 2, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1 1.26666666667
+MOP4 zh Nach Präsident Ali Saibou beschlossen, ein Mehrparteiensystem einzuführen , wurde Osman im Januar 1991 gegründet, die Sozialdemokratische Partei und die Sozialdemokratische Rally ( CDS Rahama ) . 23 3, 1, 2, 2, 3, 3, 2, 3, 2, 2, 3, 1, 1, 2 2.14285714286
+MOP4 zh Der Zweck dieser Maßnahme ist es, die Murnau Bahnhof Fahrgastinformation zu verbessern . 12 3, 2, 3, 3, 3, 4, 3, 4, 4, 3, 4, 4, 3, 4, 4 3.4
+MOP4 zh Es gibt noch andere viele heiße Quellen Spa-Einrichtungen, künstlichen Wasserfällen , Massage und Sauna . 13 2, 4, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 4, 2, 2, 2 2.6875
+MOP4 zh Ihre Service-Bereich steht im Einklang mit dem Raum Düsseldorf . 9 3, 1, 3, 2, 3, 3, 3, 3, 2, 4, 4, 3, 2, 2 2.71428571429
+MOP4 zh , Modern logischen Kalkül , in jedem Fall , kann der Unterschied zwischen der logischen ) in geeigneter Weise durch Komplementklassen integriert werden erklären Bedingungen einzige Objekt auftreten . 24 3, 1, 2, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1 1.46153846154
+MOP4 zh Er kritisierte auch die Verwendung von Auto-Tune in dem Drama " Million " und beschreibt das Album Musik, ihr hässliches Haupt . 19 3, 2, 3, 1, 3, 2, 3, 2, 2, 3, 2, 1, 3, 2 2.28571428571
+MOP4 zh 25. Mai 2005 , wurde das Terminal offiziell gegründet und akzeptiert angeben, von Terminal 1 . 14 2, 1, 2, 1, 1, 2, 3, 3, 3, 1, 2, 2, 2, 2, 1 1.86666666667
+MOP4 zh Friedhof oder auf eigene Faust oder über einen lokalen religiösen Gemeinschaft von der Stadtverwaltung getragen , in manchen Kulturen haben die beiden Institutionen . 21 2, 1, 2, 1, 1, 2, 2, 1, 2, 1, 1, 2, 1, 1, 2 1.46666666667
+MOP4 zh Erfolg ist auf die Französisch Revolution , 50 Jahre später eine tiefgreifende Veränderung in der Französisch Gesellschaft . 16 4, 1, 2, 2, 1, 2, 2, 1, 2, 1, 3, 2, 2, 2 1.92857142857
+MOP4 zh Ilkay Akkaya (Istanbul * 26. Mai 1964) ist ein türkischer Aleviten Musikgruppen GRUP Kizilirmak Sänger und Mitglieder . 15 3, 2, 2, 1, 2, 2, 2, 2, 1, 1, 1, 3, 2, 1, 2 1.8
+MOP4 zh In der mündlichen Verhandlung Brady sprach auch , selbst zu seiner Situation . 11 2, 2, 3, 2, 3, 2, 3, 3, 1, 3, 3, 2, 3, 3 2.5
+MOP4 zh Alle Wagen werden an der Grenze des ehemaligen Großherzogtums Baden . 10 3, 1, 3, 2, 3, 2, 2, 3, 2, 2, 3, 1, 3, 3 2.35714285714
+MOP4 zh In der Saison 2009-10 , kann er wieder Dede Position nach links verschoben und zu einem normalen Player . 17 3, 1, 2, 1, 1, 2, 2, 1, 2, 1, 1, 3, 1, 2, 2 1.66666666667
+MOP4 zh Hier aus den Niederlanden (Tuch) , Italien (Seide, orientalischen Waren ) im Warenverkehr . 9 3, 1, 2, 3, 1, 2, 2, 3, 2, 2, 2, 1, 1, 1, 1 1.8
+MOP4 zh Felix von Harburg nach Heidenheim Kloster recycelt Canon . 8 2, 1, 2, 1, 2, 1, 2, 2, 1, 1, 2, 1, 2, 1 1.5
+MOP4 zh EWG Eberswalder Wurst und Fleisch GmbH EFG Eberswalde , Ltd ist Fleisch und Wurstherstellerin Brits ( Eberswalde ) . 15 2, 2, 2, 3, 3, 3, 3, 2, 3, 2, 4, 2, 3, 3, 2, 2 2.5625
+MOP4 zh Darüber hinaus wurde er mit dem Lenin -Preis, den Humboldt-Forschungspreis und die indische Rupie Markov Preise verliehen . 16 2, 2, 2, 2, 3, 3, 2, 3, 3, 2, 1, 3, 2, 3, 3 2.4
+MOP4 zh In diesem Zyklus zumindest teilweise und vorübergehend Verbot noch nicht stattgefunden . 11 1, 2, 1, 1, 2, 2, 2, 2, 3, 2, 2, 1, 2, 2 1.78571428571
+MOP4 zh Er ist vor allem Instrumentalwerke komponiert , produziert er experimentelle Spielhandlung und Mikrochromatik Ton kontinuierliche Transformation . 15 3, 1, 3, 1, 2, 1, 2, 2, 1, 2, 2, 2, 1, 1, 2 1.73333333333
+MOP4 zh Und 1382 und 1453 aus diesem Grund wird oft Laarne Chef modifiziert . 12 3, 1, 2, 1, 3, 1, 2, 2, 1, 1, 3, 2, 1, 1, 2 1.73333333333
+MOP4 zh Er starb im Oktober 1976, 2 Alexander wurde in Woodlawn Cemetery in der Bronx begraben . 15 3, 1, 2, 3, 1, 2, 3, 1, 3, 3, 4, 3, 3, 2, 2 2.4
+MOP4 zh Vorgeschriebenen Lesungen - " Rennen zu gewinnen " , und die Arbeiter im Weinberg Metapher . 11 2, 4, 2, 1, 1, 2, 1, 3, 3, 1, 1, 2, 3, 1, 2, 3 2.0
+MOP4 zh Zunächst organisierte diese Ausstellungen , vor allem in der Altstadt und dem KohlenstoffmarktHandelsmarkt . 12 3, 1, 2, 3, 1, 3, 1, 2, 2, 2, 3, 1, 2, 2 2.0
+MOP4 zh In der 30. August 1398 die Brüder Rudprecht und Leubenegg Andre Gregory lobte den Erzbischof von Salzburg unten . 18 3, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 3, 1, 2, 2 1.53333333333
+MOP4 zh Film Festival-Organisatoren regelmäßig machen spezielle Integrations oder Orchesterprojekt , das ein exklusives Erlebnis in jazzopen ist : 15 3, 1, 2, 1, 2, 2, 1, 1, 2, 2, 2, 2, 2, 1, 1, 2 1.6875
+MOP4 zh Nach Hause zurückgekehrt , wurden sie von der Vereinigung mit dem Spiel für mehrere Monate Suspension bestraft . 16 3, 3, 3, 2, 2, 3, 3, 2, 2, 3, 2, 3, 1, 3, 3 2.53333333333
+MOP4 zh Matthijs ist der mittlere von drei Brüdern , Jacob Maris anderen Brüdern und Schwestern und William Maris . 16 3, 1, 3, 2, 1, 2, 2, 2, 2, 1, 2, 4, 2, 2, 4, 2 2.1875
+MOP4 zh Gemäß der Vereinbarung streng symmetrischen Barock vier Linien auf jeder Seite des Fensters zu der zentralen Achse angelegt . 18 2, 3, 2, 1, 1, 3, 3, 1, 2, 2, 1, 3, 3, 2, 1, 2 2.0
+MOP4 zh Es ist in A11 , der Hauptstraße zwischen Norwich und London sind南塞特福德Waldgebiet Wald . 12 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2 1.28571428571
+MOP4 ja Das Pflaster in der gesamten Strecke ausgeführt werden soll auf der Straße für den Verkehr gesperrt und Radwege entlang den Hängen der Weinberge teilweise . 24 3, 3, 1, 2, 1, 2, 1, 1, 2, 3, 1, 1, 1, 2, 1, 2, 2 1.70588235294
+MOP4 ja In dem Betrieb der 10 Liga, war er, aber nur ein Jahr dort . 13 2, 2, 3, 2, 2, 2, 3, 2, 3, 2, 1, 3, 1, 1, 3, 2 2.125
+MOP4 ja Land für Schäden, die durch die, die in Raum-Objekte angeordnet sind nach dem Vertrag zu halten . 16 3, 1, 2, 1, 1, 2, 1, 2, 1, 1, 1, 3, 1, 2, 2 1.6
+MOP4 ja Diese Nähte entstehen hier und tauchen in Richtung Norden bei Tageslicht, deckt es durch ( " Essen grünen Sandstein " ) glaukonitischen Sandstein der Oberkreide zu ihnen . 23 3, 1, 2, 1, 2, 1, 2, 2, 1, 1, 3, 1, 1, 3, 1 1.66666666667
+MOP4 ja 2006 Van Amersfoort Racing in den Niederlanden Schritt bis zu F3 Cup Deutschland . 13 2, 1, 2, 3, 1, 3, 2, 1, 2, 1, 2, 2, 1, 1, 3 1.8
+MOP4 ja Sie dauerten Sohn Wolfgang Freundsberg von ihnen. Kinder starben in der 1449. These 13 3, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.28571428571
+MOP4 ja Beenden seiner besten von den nordischen Ski-Weltmeisterschaften 2011 in Oslo 13. im Teamsprint und in der 50. von 30 km Verfolgungsrennen war . 22 2, 1, 2, 1, 2, 2, 1, 2, 1, 1, 3, 3, 1, 1, 2 1.66666666667
+MOP4 ja Unterschrieb einen Vier -Jahres-Vertrag für die Serie Ein Bergsteiger Hellas Verona in Italien , wurde dort am 28. Juni 2013 eine neue Ankunft im Jahr 2013 vorgestellt . 25 3, 1, 2, 3, 1, 2, 1, 2, 2, 3, 1, 1, 1, 3, 2 1.86666666667
+MOP4 ja Er diente als Reserveoffizier in der deutsch-französischen Krieg von 1870 bis 1871 . 12 2, 4, 3, 3, 3, 3, 3, 4, 3, 3, 3, 3, 3 3.07692307692
+MOP4 ja Er war Präsident (PNR , Rumänien Kuomintang ) der " Hektik Partidul National Roman SI Siebenbürgen Banat " in 1884-1888 . 15 3, 3, 1, 2, 3, 1, 3, 2, 3, 4, 4, 2, 3, 3, 4 2.73333333333
+MOP4 ja Kirche des ehemaligen Klosters von Santo katholischen Gemeinde Trois Vallées Collet de von heute verwendet werden . 16 3, 1, 2, 1, 3, 2, 2, 3, 2, 1, 2, 3, 1, 1, 2 1.93333333333
+MOP4 ja Das Nest wurde in dichter Vegetation gebaut und ist bei den meisten Arten in der Nähe der Wasser durch einen Strohhalm befestigt . 22 3, 4, 3, 3, 3, 3, 4, 2, 3, 4, 4, 4, 3, 2, 4 3.26666666667
+MOP4 ja Ich suche Geld, um in die Vereinigten Staaten zu fliehen , die Mutter von Melchior antwortete auf einen Brief von St. Moritz . 21 3, 1, 3, 4, 1, 3, 1, 3, 1, 3, 3, 2, 3, 3, 3, 1 2.375
+MOP4 ja Zu massiven Explosion zu vermeiden , werden die wichtigsten Entscheidungen , benachrichtigt er die Regierung die Lage in der Zone . 18 3, 1, 2, 1, 1, 2, 2, 1, 2, 1, 1, 2, 1, 1, 2 1.53333333333
+MOP4 ja Diese drei Lieder wurden für Digipakversion Album verwendet . 8 2, 3, 3, 2, 2, 3, 2, 3, 3, 3, 3, 3, 3, 3, 3 2.73333333333
+MOP4 ja Wenn Sie spielen gut und haben die Agilität und Sprungkraft phänomenal , er ist sich der Situation bewusst Knospe . 18 3, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2 1.375
+MOP4 ja Nach der Anwesenheit der offiziellen Facebook- MusikarchivGeist aus Metall, ist ein Online- Enzyklopädie der Welt größte im Bereich der Rock-und Metal . 21 3, 1, 2, 1, 1, 3, 2, 1, 1, 1, 3, 1, 2, 2 1.71428571429
+MOP4 ja Während dieser Zeit , in Neuauflagen des anderen , zur Linderung der Schweiz für Kriegsnotleidende Studenten und der Schweizerische Nationalfonds , verkündete sie . 20 2, 1, 2, 1, 2, 2, 2, 2, 1, 1, 2, 1, 2, 2 1.64285714286
+MOP4 ja 20 Dezember , 1994, Maschinen-und Anlagenbau Unternehmen wurde gegründet Cl . 9 2, 1, 3, 2, 1, 1, 3, 2, 3, 3, 1, 3, 2, 2, 2 2.06666666667
+MOP4 ja " Rektor secundarius " Johann Heinrich Daniel Moldenhawer war der letzte . 9 2, 4, 4, 2, 3, 4, 2, 4, 3, 4, 4, 2, 4, 4 3.28571428571
+MOP4 ja Ausgangsverteilung , wird es als eine Verteilung von Einkommen oder passive finanzielle Entschädigung wie aktive Geldentschädigung bezeichnet wird . 17 2, 1, 1, 1, 3, 2, 1, 1, 1, 3, 1, 3, 3, 1, 1, 2 1.6875
+MOP4 ja Bett Brennen ist der amerikanische TV-Drama , das Platz bei einem Tausendstel 984 nahm 13 3, 1, 2, 2, 1, 3, 1, 1, 1, 1, 2, 1, 1, 1, 1 1.46666666667
+MOP4 ja I ist ersichtlich, dass das stoffartige , durch die Farbe der Muskel wahrscheinlich Mundseite des Weithals umgeben . 16 3, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 3, 2, 2, 1 1.46666666667
+MOP4 ja Zuerst von Hermann Schubnell Institut ist (1910-1996) , ging Anthropologe Hans Wilhelm Jürgens , es war in der Regel der erste Direktor des BIB vorläufig . 22 3, 1, 1, 1, 1, 1, 2, 1, 1, 2, 2, 2, 1, 1, 2 1.46666666667
+MOP4 ja Ismaele ist in der Liebe , wie er ein Gefangener Babel und Fenena , die ihn mit einem großen persönlichen Risiko veröffentlicht wurde war . 22 3, 1, 2, 1, 1, 2, 1, 2, 2, 1, 1, 2, 1, 1, 1 1.46666666667
+MOP4 ja Ich muss ihn in den 80er Jahren , Alkohol -oder Drogenkonsum seiner grassierenden zu stoppen, für die meisten der kreativen Arbeit . 19 2, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1 1.33333333333
+MOP4 ja Als ehemaliger Staatschef , zusätzlich zu den Worten ( "Belohnung" ) , hat er eine qualifizierte Leben in vollen Lohn der Dienstwagen und das Büro des Privatsektors . 22 3, 1, 3, 2, 1, 2, 2, 3, 2, 1, 1, 1, 1, 1, 2 1.73333333333
+MOP4 ja Rechnung, die Ausnahme von mehreren in der so genannten DC -Zylinder- Formmaschine hergestellt . 12 2, 2, 1, 3, 3, 1, 2, 2, 1, 2, 3, 1, 2, 2 1.92857142857
+MOP4 ja Einiges davon wurde in 1 abgebaut , alluvialen Diamant war eine Diamantenmine in Australien nur . 14 2, 1, 2, 1, 2, 3, 3, 1, 2, 2, 1, 2, 3, 1, 2, 2 1.875
+MOP4 ja Radierung und Zeichnung von ihr, soll ich tragen die einzelnen , die Signatur künstlerischen einzigartig . 14 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 2, 1 1.26666666667
+MOP4 ja Insbesondere kann dazu führen, labiler Schichtung tritt auf, wenn kalte Luft bewegt sich schneller als auf dem Boden in Kaltfront , die durch die dynamische Ebene . 25 4, 3, 1, 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 1, 2, 2 1.64705882353
+MOP4 ja Interactive Data Corporation (NASDAQ : IDC ) ist ein Wirtschaftsinformationsdienst der Vereinigten Staaten . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 ja Sicher ist, dass Dorf gab es Kappel Altstrasse Nii . 9 3, 1, 2, 2, 1, 2, 2, 2, 3, 1, 1, 2, 1, 1, 1, 2 1.6875
+MOP4 ja Ich die Dills Bockenem zog in der Nähe später . 9 3, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1 1.4
+MOP4 ja In Torgleichheit und bis 90 Minuten nach dem Spiel verlängert , wird er gebracht, um die PK Schlacht unmittelbar nach der möglich danach zu bestimmen . 24 2, 1, 2, 1, 1, 2, 1, 2, 1, 1, 1, 2, 1, 1, 1 1.33333333333
+MOP4 ja Seit 1795 Interesse an seiner wissenschaftlichen, dem ersten der Zoologie hauptsächlich . 11 3, 2, 2, 1, 2, 1, 2, 2, 1, 1, 2, 1, 1, 2 1.64285714286
+MOP4 ja Es wurde 1836 von John Herschel , NGC 1748 entdeckt wurde, ist in der New General Catalogue beschrieben worden . 18 3, 1, 2, 1, 1, 2, 2, 3, 2, 1, 1, 3, 2, 2 1.85714285714
+MOP4 ja Der Secret Service von Österreich, wurde er als Diplomat in Bern und Stockholm angenommen . 13 4, 1, 2, 2, 1, 3, 1, 3, 2, 3, 2, 3, 2, 2 2.21428571429
+MOP4 ja So werden nicht nur national , Europa, Ecolight Flugzeuge nach JAR / EASA zertifiziert . 12 2, 4, 3, 1, 1, 3, 3, 3, 3, 2, 3, 3, 2, 4, 4 2.73333333333
+MOP4 ja Einer der Wasserkocher die andere in der Siedlung Lindenhof aufgeführt Verbindungs Westen zum Lake krummen Feuer und Friedhof . 18 3, 1, 2, 1, 1, 1, 3, 2, 2, 1, 1, 1, 2, 1, 2 1.6
+MOP4 ja Dies gilt auch für einige Blätter in Windows . 8 3, 1, 3, 3, 4, 3, 1, 3, 4, 3, 3, 3, 2, 3, 3, 2 2.75
+MOP4 ja Abstand betrug 1 971 inkrementiert die Straße, die eine Anzahl von Strom 221 1974 erhalten hat . 16 3, 1, 2, 1, 1, 2, 1, 1, 2, 2, 1, 3, 2, 1 1.64285714286
+MOP4 ja In der dritten Ausgabe des Nations Cup , dreimal , um das Siegerteam kam er haben , verwenden wollen . 16 3, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 2, 2, 1, 1, 1 1.375
+MOP4 ja So legte er den Befreiungskrieg im Zusammenhang mit der Freisetzung und Assimilation der jüdischen Bevölkerung . 15 2, 4, 2, 3, 3, 3, 3, 3, 4, 2, 4, 2, 1, 3, 2 2.73333333333
+MOP4 ja So können sie die geordnete Urlaub relativ großen Dnjepr Verlust ihrer Seite schließlich verhindern . 14 3, 1, 2, 1, 1, 2, 3, 1, 2, 1, 1, 1, 2, 2, 2 1.66666666667
+MOP4 ja Doch nicht nur Bedonkohe Band war in Chihenne Band von Chiricahua Apache der " Kupfermine " -Lokalgruppe ist Teil der so genannten " Hiraapatchi " . 20 3, 1, 2, 2, 1, 2, 2, 2, 1, 1, 1, 2, 1, 1, 3 1.66666666667
+MOP4 ja Verheiratet Carolyn Christoph · Bakargiev , ist es ein Performance-Künstler Cesare Pietroiusti mit zwei Töchter ( geboren 1955 ) Italien . 16 3, 1, 3, 3, 1, 2, 3, 2, 2, 2, 2, 1, 1, 2, 2 2.0
+MOP4 ja Frauen bedecken Schildläusen der zweiten Larvenstadium erfüllt wird, habe ich nicht lange Beine . 13 3, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 2 1.3125
+MOP4 ja Schimmelpfennig war der jüngste von drei Brüdern in einer Familie von Musikern . 12 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 ja Teil einer Serie von zwei in der Best-of -two -Modus wurde auf der 30. des Jahres 2008 vom 24. August statt . 19 3, 1, 2, 1, 2, 1, 1, 2, 1, 1, 2, 1, 2, 2 1.57142857143
+MOP4 ja Der Klassenname wird aus dem traditionellen Beginn der ersten abgeleitet . 10 2, 2, 3, 4, 3, 3, 3, 2, 3, 3, 2, 2, 2, 3, 2 2.6
+MOP4 ja Schrieb das Spiel zum Film ", der" " Ball " und "" Primal Fear "," Menschen " 10/2007 direkt " TV -Magazin . 14 3, 1, 2, 1, 1, 1, 1, 2, 3, 3, 2, 2, 1, 3, 1 1.8
+MOP4 ja Zuvor war ich als Bezugspunkt der Schneeschmelze und Meerwasser eingesetzt . 10 3, 1, 2, 1, 3, 1, 2, 3, 2, 1, 3, 1, 2, 1, 1 1.8
+MOP4 ja Absolventen enthält die wichtigsten Mitglieder Klerus Nobelpreisträger, Regierung , Politiker , Würdenträger , Senior Künstler der Akademie der Schweden . 16 1, 2, 1, 1, 1, 1, 3, 2, 2, 2, 2, 1, 2, 3, 3 1.8
+MOP4 ja "Primär" Tuffit werden während des Vulkanausbruchs gebildet wird, ist es üblich, vor allem in der Plinianische Ausbruch der Erscheinung . 17 2, 1, 2, 1, 1, 2, 1, 2, 1, 1, 2, 2, 1, 1, 2 1.46666666667
+MOP4 ja Im Jahr 2012 ist sie auch als Darsteller , führte sie in zwei der letzteren gesehen , der Stunt als "unmöglich " Film über " " Safe House "und" Dread " . 22 2, 1, 1, 1, 2, 2, 1, 2, 1, 1, 1, 2, 1, 1, 2 1.4
+MOP4 ja Und Lösung Busbetrieb , in den großen Städten , die Sie benötigen , um den Ausbau der U-Bahnlinien und den Bau zu wechseln . 20 3, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 2, 2 1.57142857143
+MOP4 ja Der Ursprung der Plan in das Feld, um einen Handelshafen in der Mitte des 19. Jahrhunderts bereits zu bauen . 19 2, 1, 3, 3, 1, 2, 2, 1, 2, 2, 2, 3, 1, 1, 1 1.8
+MOP4 ja Es begrenzt den Rhein nach Süden in Richtung Norden . 9 3, 3, 2, 4, 2, 4, 3, 3, 1, 3, 4, 3, 3, 3, 3, 3 2.9375
+MOP4 ja Sein Tod in Deutschland in Berlin und Beamte auf " große Redner " Great Lodge war er ( " Zinnendorfisches System") . 17 2, 1, 2, 1, 1, 3, 2, 2, 1, 1, 2, 2, 1, 1, 2 1.6
+MOP4 ja Margaret sagte ist der Prototyp des legendären Margaret von Litermont von der lokalen Regierung Maldix Saga wahrscheinlich . 17 2, 1, 2, 3, 1, 2, 2, 1, 1, 1, 1, 1, 1, 2, 2 1.53333333333
+MOP4 ja Ab 1951 wissenschaftlicher Mitarbeiter an der Berliner Zentral- Bildungsinstitut in Deutschland, war er der letzte obere Lautsprecher . 17 3, 1, 2, 1, 3, 3, 2, 2, 2, 1, 2, 2, 3, 2, 1, 3 2.0625
+MOP4 ja Er praktizierte Recht in Portland aus dem Jahr 1965 . 9 3, 1, 3, 3, 2, 3, 3, 3, 3, 2, 2, 2, 2, 2, 3 2.46666666667
+MOP4 ja So kämpfte er am 15. August in der Schlacht von Liegnitz . 11 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.92857142857
+MOP4 ja Aber , die Meinecke sind gegeben hatte Inspiration , Kultur als Gymnasiast Pop . 11 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1 1.2
+MOP4 ja Es ist eine Stadt der Verwaltungsbezirke des Staates Kobuhamusari Elmbridge . 10 2, 4, 4, 2, 4, 4, 3, 4, 2, 3, 4, 3, 4, 3, 3, 2 3.1875
+MOP4 ja Er war ein Mitglied der katholischen Kirche St. Alexander . 9 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.92857142857
+MOP4 ja Dominiert die Geschichte , auch der Sohn von Sängerin , sie und hat sich weiter von der Außenwelt ausgeblendet werden , weiß ich nicht , was das Auge . 24 3, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1 1.3125
+MOP4 ja Es wird von der Vorderseite angenommen , kurz bevor Tochter Angelica , Captain von der Saale , wurde für zu Hause gestartet . 19 3, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2 1.46666666667
+MOP4 ja Vertriebsgebiet erstreckt sich von Cooktown in Queensland an der Nordseite des Daintree River . 13 3, 2, 3, 2, 1, 3, 3, 3, 3, 4, 3, 2, 3, 3 2.71428571429
+MOP4 ja Bart, der im Jahr 1045 von der kaiserlichen Armee zerstört wurde . 11 3, 1, 2, 3, 1, 4, 3, 3, 3, 4, 4, 3, 2, 3 2.78571428571
+MOP4 ja Insbesondere sollten Sie ein wichtiges neues Element mit Hilfe der Telemetrie -Tracking durch die oben erwähnte Rückgang des Landers sein . 19 1, 4, 3, 3, 2, 1, 2, 2, 3, 1, 1, 3, 2, 1, 2, 3, 1 2.05882352941
+MOP4 ja Pierre- Henri de Valenciennes, war einer der bedeutendsten Landschaftsmaler seiner Zeit . 11 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3 3.86666666667
+MOP4 ja Nach der Entscheidung von Präsident Ali & Seibu , ein Mehrparteiensystemeinzuführen , wurde Osman im Januar 1991 gegründet, die Sozialdemokratische Partei und Sozial Democratic Rally (CDS Rahama ) . 23 3, 1, 2, 2, 3, 3, 1, 3, 3, 1, 2, 4, 3, 3, 2 2.4
+MOP4 ja Der Zweck dieser Maßnahme ist es, die Fahrgastinformation Murnau Bahnhof auf zu verbessern . 13 3, 2, 3, 3, 2, 3, 3, 2, 2, 3, 3, 2, 4, 3 2.71428571429
+MOP4 ja Es kann nur von jeweils logisch differenziert ) interpretiert werden , um das Objekt von Begriffen Komplementklassen richtig erschien zu integrieren; S. logischen Kalkül in modern . 24 4, 1, 1, 1, 2, 1, 2, 3, 2, 2, 1, 3, 1, 2, 2 1.86666666667
+MOP4 ja Der 25. Mai 2005 wurde das Terminal gestartet , ich erhielt die Bezeichnung Terminal 1 abgefertigt . 15 2, 1, 1, 1, 1, 1, 2, 2, 1, 1, 2, 2, 1, 1, 2 1.4
+MOP4 ja Er sah , vor allem in der Lebensmittelsicherheitsmaßnahmen, um eine Wiederholung der Kolonie zu verhindern, wenn die militärischen Angriff während der Beginn des Zweiten Weltkrieges auf . 25 2, 1, 2, 3, 1, 2, 1, 1, 3, 1, 1, 1, 1, 2, 2 1.6
+MOP4 ja Weber hat in den nächsten zehn Jahren der Wettbewerb mit Stoffen von Maschine ersetzt worden . 15 1, 2, 1, 3, 2, 1, 2, 2, 2, 1, 3, 1, 2, 2 1.78571428571
+MOP4 ja Singer Ilkay Akkaya Torukoarevu ~ i Musikgruppe GRUP Kızılırmak (5 26. Mai 1964 in Istanbul geboren ) , ein Mitglied ist . 17 3, 1, 2, 1, 2, 1, 2, 2, 1, 1, 1, 3, 1, 2, 1 1.6
+MOP4 ja Beginnend im Jahr 1906 , hatte Shackleton früh mit der Planung der Antarktis-Expedition des eigenen begonnen . 15 3, 1, 3, 2, 3, 3, 3, 3, 2, 2, 2, 2, 4, 1, 2, 2 2.375
+MOP4 ja In der Position, Südosten, und das Dorf der ehemaligen Grube in Bern Burggraf- Kahlwinkel . 14 2, 1, 3, 3, 1, 3, 3, 3, 2, 3, 1, 1, 1, 2, 2 2.06666666667
+MOP4 ja Sein Artikel , offenbarte Unterschiede in den bürgerlichen Parteien und sozialdemokratische Politik . 11 3, 4, 2, 3, 3, 3, 2, 4, 3, 3, 3, 3, 4, 3 3.07142857143
+MOP4 ja Ich habe gelernt, 90 Saab Renovierung Anfang 1986 . 8 3, 1, 2, 1, 2, 2, 2, 1, 1, 2, 1, 2, 1, 2 1.64285714286
+MOP4 ja In der mündlichen Verhandlung sprach Brady noch einmal auf seine Situation . 11 4, 2, 3, 2, 3, 3, 2, 2, 3, 3, 3, 3, 3, 1, 3, 3 2.6875
+MOP4 ja Schubkarre von allen, an der Grenze des alten Herzogtums Baden . 10 2, 1, 1, 1, 1, 3, 1, 2, 2, 1, 3, 3, 1, 2, 1 1.66666666667
+MOP4 ja († 3. Juli 1943 München , 2. Februar geboren 1866 in Damm ) Adolf di Krumlov war ein deutscher Philosoph . 17 3, 4, 4, 4, 3, 3, 3, 4, 3, 3, 4, 4, 2, 3, 3 3.33333333333
+MOP4 ja In der Stellungnahme des IDW , der Bildung einer Sammlung Artikel von Handelskonto, um im Grunde zu verhindern, gibt es nichts . 20 2, 1, 2, 1, 3, 1, 3, 2, 1, 2, 2, 1, 1, 2 1.71428571429
+MOP4 ja Ware aus den Niederlanden ( Tuch ) gehandelt (Seide, Oriental Waren ) Italien hier . 10 2, 1, 2, 2, 3, 1, 2, 2, 1, 1, 2, 1, 1, 2 1.64285714286
+MOP4 ja Felix zum Kloster Heidenheim wird von Canon Harburg recycelt . 9 3, 1, 1, 2, 3, 1, 1, 3, 2, 1, 1, 3, 3, 1, 1, 1 1.75
+MOP4 ja Es ist ein Hersteller von Wurstbrät EFG Eberswalder Blitz und EWG Eberswalde, Inc. und Wurst ( Eberswalde ) Fleisch . 17 3, 1, 4, 3, 1, 1, 3, 1, 2, 3, 3, 1, 1, 2, 1 2.0
+MOP4 ja Darüber hinaus wurde er mit dem Preis von INR Markov Lenin-Preis , dem Humboldt-Forschungspreis ausgezeichnet . 14 3, 2, 3, 4, 2, 3, 4, 4, 2, 3, 3, 4, 4, 3 3.14285714286
+MOP4 ja Steigende und Wolfgang Seelsorgsregion der Erzdiözese Weihbischof Süden von München hat auch aus Freising kommen . 15 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 2 1.42857142857
+MOP4 ja Adjouffou ist ein Slum von Port Bouët Stadt Abidjan Stadtteil im Süden der Elfenbeinküste in Westafrika . 16 3, 1, 4, 1, 1, 3, 3, 4, 3, 3, 4, 4, 2, 3, 4 2.86666666667
+MOP4 ja Grün , für die zu spielen, begann er seine berufliche Karriere 1983 bei RSC Anderlecht bis 1990 in der Jupiler League . 20 3, 1, 2, 1, 3, 2, 2, 2, 1, 2, 3, 1, 2, 2 1.92857142857
+MOP4 ja Er wurde in Woodlawn Cemetery in der Bronx begraben und starb am 2. Oktober 1976 in Alexandria . 17 3, 2, 4, 4, 3, 3, 4, 3, 4, 3, 3, 3, 3, 3, 3 3.2
+MOP4 ja Andre Leubenegg Brüder und Rudprecht lobte die folgende in Salzburg Erzbischof Gregory auf 30. August 1398 . 16 2, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 3 1.46666666667
+MOP4 ja I zeigt die Vorgehensweise der Giro in nicht- Biografie Abschnitt - " Strategie , um das Glück zu maximieren " , dass - der Untertitel des Buches . 21 2, 1, 1, 1, 3, 1, 1, 2, 1, 1, 1, 2, 1, 2, 1 1.4
+MOP4 ja Zu der Zeit nach Hause zurückkehren , sie durch Assoziation mit einer mehrmonatigen Spielsperre bestraft . 14 3, 1, 2, 1, 1, 3, 2, 1, 1, 1, 3, 2, 1, 1, 1 1.6
+MOP4 ja Matthijs war Mashi von Willem Maris und Yakobumarisu war der mittlere von drei Brüdern , die anderen Brüder . 17 3, 1, 2, 2, 1, 1, 1, 2, 1, 2, 2, 1, 1, 2, 1 1.53333333333
+MOP4 es " Iho " ist oft nach Verben, die die Körperfunktionen zum Ausdruck bringen und unser Verständnis nicht reflektierend, wie das Essen ("" ai " ) , Trinken ( " Inu " ) und dachte ( " Mana'o ") . 25 2, 1, 3, 2, 3, 2, 3, 2, 2, 3, 4, 2, 3, 2, 2, 4 2.5
+MOP4 es Nach dem Vertrag Staaten haften für Schäden, die durch Raum-Objekte in platziert verursacht . 13 3, 1, 2, 2, 2, 2, 2, 3, 3, 1, 1, 1, 3, 1, 2, 1 1.875
+MOP4 es 1971 und 1994 wurde die Zugabe von kleinen Verbesserungen . 9 3, 2, 2, 1, 1, 4, 1, 3, 2, 2, 1, 3, 3, 2 2.14285714286
+MOP4 es 2.014 Show ist jetzt weit über 2.200 Stelen Risse durchzogen ist . 10 2, 1, 2, 3, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1 1.33333333333
+MOP4 es Sie wurden von seinem Sohn Wolfgang Freundsberg gefolgt ; diese kinderlos starb 1449 . 12 3, 1, 3, 3, 2, 2, 2, 2, 1, 1, 3, 1, 2, 2, 2 2.0
+MOP4 es Sein bestes Ergebnis bei der FIS Nordischen Ski-Weltmeisterschaften 2011 in Oslo wurden in der 30 km Verfolgungsrennen und am 13. im Teamsprint auf Rang 50 . 25 3, 2, 3, 2, 2, 3, 3, 2, 3, 2, 2, 3, 2, 3, 3 2.53333333333
+MOP4 es Andere Verweigerer waren arbeitslos oder arbeiten bescheidenen Derivate abgelehnt alles, was in der Kultur und Sinnstiftung zuvor . 17 3, 1, 1, 1, 3, 1, 2, 2, 2, 1, 1, 3, 1, 2, 3 1.8
+MOP4 es 11.40 Uhr brach die 400 Meter hohe senkrechte Felswand an der südlichen Wand des Flimserstein Aufschlüsse von kleineren Felsen . 19 3, 3, 4, 3, 2, 1, 3, 2, 3, 2, 3, 3, 2, 2, 2 2.53333333333
+MOP4 es Wenn Sie klopfen eine Fledermaus hängen und beschädigte die KegelsitzGabel . 10 3, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1 1.42857142857
+MOP4 es Die Kollision brach die DC 9 noch in der Luft und stürzte ab . 13 2, 3, 2, 3, 2, 3, 1, 4, 2, 3, 2, 4, 4, 3 2.71428571429
+MOP4 es Jimmy Dixon ( * 10. Oktober 1981 in Bomi ) ist ein Fußballspieler aus Liberia . 12 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.85714285714
+MOP4 es Colette -des - - Trois - Heute Vallées ehemaligen Klosterkirche der katholischen Gemeinde Sainte verwendet . 11 1, 2, 1, 1, 2, 2, 3, 2, 2, 1, 2, 1, 1, 2, 3 1.73333333333
+MOP4 es Das Nest wird in dichter Vegetation gebaut und bei den meisten Arten in der Nähe von Wasser an Strohhalme verankert . 20 3, 3, 3, 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.64285714286
+MOP4 es Melchior Mutter reagierte auf einen Brief von Moritz, um Geld zu bitten , um in die Vereinigten Staaten fliehen . 18 3, 1, 3, 4, 2, 3, 2, 2, 2, 2, 4, 4, 2, 3, 3 2.66666666667
+MOP4 es Er nahm die wichtigsten Entscheidungen , um große Explosionen zu vermeiden und informiert die Regierung über die Situation in der Region . 19 1, 2, 1, 2, 3, 1, 4, 3, 3, 3, 4, 2, 3, 3 2.5
+MOP4 es Er hat ein enormes Springvermögen und Agilität , spielt gut mit und erkennen, Situationen in der Knospe . 16 3, 2, 2, 2, 1, 3, 2, 2, 2, 3, 1, 3, 1, 2, 2 2.06666666667
+MOP4 es Während dieser Zeit veröffentlichte er auch Nachdrucke von der National Science Foundation der Schweiz und die Schweizer Hilfe für Studenten Kriegsnotleidende . 21 4, 3, 2, 3, 2, 2, 3, 2, 4, 3, 4, 3, 3, 3, 3, 3, 2 2.88235294118
+MOP4 es Die Bevölkerung der Stadt hat sich in den vergangenen zwei Jahrzehnten kaum verändert : 13 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.92857142857
+MOP4 es Im Laufe von 27 Polen kämpfen immer noch Maschinen wie 54141-167 kam in die Dominikanische Republik . 16 2, 1, 2, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 2, 1 1.4
+MOP4 es Die Ausgangsverteilung wird als passive Finanzausgleich und Einkommensverteilung als aktiver Ausgleich . 11 3, 1, 2, 1, 3, 2, 2, 2, 2, 3, 1, 3, 1, 1, 2 1.93333333333
+MOP4 es Das brennende Bett ist eine amerikanische TV-Drama in 1984a gemacht 10 3, 1, 3, 2, 2, 3, 2, 2, 2, 2, 1, 1, 3, 2 2.07142857143
+MOP4 es Ismaele Fenena liebt , den er unter großen persönlichen Risiken geliefert hatte , als er ein Gefangener in Babylon war . 18 1, 2, 3, 3, 1, 2, 1, 1, 4, 2, 3, 2, 2 2.07692307692
+MOP4 es Von Sebastian Schertlin in Kriegsschiffe war glücklich , nun in fast allen Zügen der Armee im mittleren und südlichen Europa an der Zeit beteiligt . 23 3, 1, 1, 3, 1, 2, 2, 2, 1, 1, 3, 1, 1, 1, 1 1.6
+MOP4 es Diese neue Beschaffungspolitik wurde zuerst in der Multi-Engine- Designs " Armstong Whitworth AW154 eingeführt 13 3, 4, 3, 4, 3, 3, 4, 3, 3, 4, 3, 3, 3, 3, 3 3.26666666667
+MOP4 es Wie der ehemalige Staatschef , der das Recht auf Leben zu den Gesamtbezügen des Ausdrucks ( " Fee" ) hat , sowie ein Arbeitszimmer und einen Firmenwagen . 22 2, 1, 2, 2, 1, 2, 2, 2, 1, 2, 2, 4, 1, 2, 2 1.86666666667
+MOP4 es Es war der einzige Diamantenmine in Australien, in die alluvialen Diamanten wurden in einem abgebaut . 15 3, 2, 1, 1, 1, 2, 2, 3, 2, 1, 3, 2, 2 1.92307692308
+MOP4 es , die in Yunnan gebaut worden , wird von einigen Autoren als erste Kettenbrücke betrachtet . 13 1, 3, 3, 1, 3, 3, 2, 3, 2, 3, 1, 2, 3, 2, 3 2.33333333333
+MOP4 es Seine Zeichnungen und Radierungen bringen ihre individuelle , unverwechselbare künstlerische Handschrift . 10 2, 2, 4, 3, 1, 4, 3, 2, 4, 2, 3, 3, 3, 4 2.85714285714
+MOP4 es Interactive Data Corporation ( NASDAQ: IDC) ist ein Informationsdienst der amerikanischen Wirtschaft . 11 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 es Service-Level- Reduktionen in der Schwere nur durch die " Stilllegung" überschritten . 9 2, 1, 2, 2, 1, 4, 2, 2, 2, 3, 3, 1, 3, 2, 2 2.13333333333
+MOP4 es Nuda Arten ernähren sich von freischwimmenden Tiere mit weichem Körper , vor allem aus anderen Rippenquallen , die leicht größer ist als sie selbst sein kann . 24 3, 4, 3, 1, 2, 4, 3, 3, 3, 3, 4, 2, 3, 3, 3, 4 3.0
+MOP4 es Sicher ist, dass die Stadt in einer Kappel Altstrasse . 9 3, 1, 2, 3, 1, 3, 2, 2, 2, 1, 2, 2, 1, 1, 2 1.86666666667
+MOP4 es Seine Auftritte in der Gemeindeversammlung soll durch hohe Rhetorik und Geist voller Humor und Rivalen , dh gekennzeichnet 17 3, 1, 2, 1, 1, 2, 2, 2, 1, 2, 2, 1, 2, 2 1.71428571429
+MOP4 es später zog die in der Nähe von Bockenem Dills . 9 3, 4, 3, 3, 2, 3, 2, 3, 2, 2, 3, 1, 1, 3 2.5
+MOP4 es Der Rat wird in Workum basiert , die anderen Orte in der Gemeinde sind : Hemelum , Hindeloopen , It Heiden , Koudum , Molkwerum , Scharl , Stavoren und warnt . 23 3, 1, 2, 2, 2, 3, 1, 1, 2, 2, 2, 1, 1, 2, 3 1.86666666667
+MOP4 es Seine wissenschaftlichen Interessen seit 1795 zunächst vor allem in der Zoologie . 11 3, 1, 2, 2, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 3 2.4
+MOP4 es NGC 1748 wurde von John Herschel im Jahr 1836 entdeckt und ist im New General Catalogue aufgeführt . 17 3, 4, 4, 3, 3, 4, 3, 2, 2, 4, 4, 4, 4, 4, 4 3.46666666667
+MOP4 es Am 7. Oktober 2013 wurde Wiesinger zusammen mit Reutershahn freigegeben . 10 3, 4, 4, 3, 4, 3, 3, 4, 4, 4, 2, 4, 4, 3, 4, 3 3.5
+MOP4 es Von der österreichischen Geheimdienst wurde als Diplomat in Stockholm und Bern tätig . 11 3, 1, 2, 2, 3, 3, 2, 2, 2, 2, 3, 2, 2, 2, 2 2.2
+MOP4 es Wohngebäude waren Holzhäuser gab es Türme , Gewölbe und Grabstätten der heidnischen Verehrung . 12 4, 4, 1, 3, 1, 2, 1, 1, 3, 3, 2, 2, 1, 3, 1, 1, 2 2.05882352941
+MOP4 es Allerdings zunächst nur einer der Köpfe der " Sons of Liberty " den Anspruch als ihre eigenen gemacht hatte . 17 1, 2, 3, 1, 3, 1, 2, 2, 3, 4, 2, 1, 3, 1, 2 2.06666666667
+MOP4 es Die Serie am 14. Juni 2007 von dem Sender ausgestrahlt WOWOW in Japan bis zum 6. September 2007 geprüft . 19 3, 1, 2, 3, 1, 3, 2, 1, 2, 2, 1, 1, 1, 2, 1 1.73333333333
+MOP4 es Ein weiterer Kessel in der Siedlung Lindenhof Anschluss nach Westen zum Friedhof und Crooked Lake Feuer aufgeführt . 17 3, 1, 2, 3, 1, 3, 2, 2, 1, 1, 1, 2, 1, 2, 1 1.73333333333
+MOP4 es Der Abstand wurde bis 1971 Autobahn A 221 im Jahr 1974 erhöht erhielt seine aktuelle Anzahl . 16 3, 1, 2, 1, 2, 1, 1, 2, 2, 3, 1, 2, 1, 2, 2 1.73333333333
+MOP4 es In der dritten Ausgabe des Nations Cup war auf der Siegermannschaft und kam drei Mal zum Einsatz . 17 3, 1, 3, 4, 2, 2, 3, 2, 2, 1, 3, 2, 3, 2, 2 2.33333333333
+MOP4 es So stellte er die Befreiungskriege im Zusammenhang mit der Assimilation und Emanzipation der jüdischen Bevölkerung . 15 3, 4, 3, 3, 3, 4, 3, 4, 3, 3, 4, 4, 2, 3, 4 3.33333333333
+MOP4 es In Lahti, Finnland endet 6. März 2004 eine erfolgreiche Karriere mit einem dritten Platz . 14 4, 4, 3, 3, 3, 3, 4, 4, 3, 4, 4, 3, 3, 3, 4 3.46666666667
+MOP4 es Die beiden Teile der Serie in der besten Weise zwei fand am 24. und 30. August 2008 . 17 2, 1, 1, 3, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1 1.46666666667
+MOP4 es Die "direkte TV" -Magazin schrieb 10/2007 Film Spiele " " Kugel " " mit " " Urängste "," die Menschen . 11 2, 1, 2, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1 1.28571428571
+MOP4 es Bisher sind Meerwasser und Schneeschmelze als Benchmark verwendet . 8 3, 2, 2, 3, 2, 3, 2, 3, 2, 1, 3, 2, 2, 2, 3 2.33333333333
+MOP4 es Sowohl Kinder als auch Erwachsene können Probleme in der es zu lösen . 12 2, 1, 2, 1, 3, 1, 2, 4, 2, 1, 1, 1, 2, 1, 2, 2 1.75
+MOP4 es Alumni gehören Nobelpreisträger , Verwaltung , Politiker, hochrangige Kleriker , prominente Mitglieder der schwedischen Akademien und Senior Künstler . 15 2, 2, 2, 3, 1, 2, 2, 2, 2, 4, 3, 2, 1, 2, 2 2.13333333333
+MOP4 es Von 1909 bis 1918 war sie Vorstandsmitglied der Liberalen Linkspartei . 10 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 es 1955 im Einklang mit einem einheitlichen Standard Name von ihm auf der Empfehlung des Board of Control des australischen Pfund ( AKCC ) konzipiert . 22 1, 3, 1, 3, 3, 1, 2, 2, 3, 1, 2, 1, 2, 2 1.92857142857
+MOP4 es Seit der Mitte des 19. Jahrhunderts , entstand der Plan, auf dem Gebiet , um einen Handelshafen zu bauen . 17 3, 3, 3, 3, 2, 3, 1, 2, 3, 2, 2, 2, 2, 3, 3 2.46666666667
+MOP4 es Lechner Kommerzialrat nicht warten Schicksal nach der Erfahrung mit dem Bürgermeister offenbar erholt und bewegenden Rede an das Parlament in Bezug auf die Lueger . 24 2, 1, 1, 2, 1, 3, 1, 1, 3, 1, 1, 1, 1, 2, 2 1.53333333333
+MOP4 es Aufgabe vierzehn Jahre alt , Kinder der Ort ist , um die Ratsche Osterkirchenglockenzu ersetzen . 13 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2 1.2
+MOP4 es 1939 L52 10,5 cm Revolver hatte eine Anfangsgeschwindigkeit von 830 m / s, und einen Schießstand bis zu 22 km ( nach Granada Spitzen 24 km) . 24 3, 3, 2, 1, 1, 3, 1, 1, 2, 4, 3, 3, 3, 1, 2, 2 2.1875
+MOP4 es Das sagte Margaret ist wohl der Prototyp des legendären Margaret Litermont lokale Politik Maldix Saga . 15 1, 1, 1, 3, 2, 1, 1, 2, 2, 1, 3, 2, 2, 2 1.71428571429
+MOP4 es Von 1951 war er wissenschaftlicher Mitarbeiter , zuletzt über dem Zentralinstitut für Bildung Berlin Deutschland Lautsprecher . 14 2, 1, 2, 3, 1, 3, 2, 3, 3, 2, 3, 4, 1, 1, 2 2.2
+MOP4 es Veranstalter der Laien -Spiele im traditionellen Sinne sind oft die Heimat Vereine oder Kirchen . 13 2, 3, 4, 3, 2, 3, 3, 3, 4, 4, 4, 4, 3, 3, 4 3.26666666667
+MOP4 es So kämpfte er am 15. August in der Schlacht von Liegnitz . 11 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 es Cobham ist eine Stadt im Landkreis Elmbridge in Surrey . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 es Er war ein Mitglied der katholischen Kirche von San Alejandro . 10 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 es Kurz zuvor hat Angelica , die Tochter des Hauptmann von der Saale , von vorne aufgenommen und begann nach Hause . 18 3, 1, 2, 1, 3, 1, 2, 2, 1, 2, 2, 1, 2, 2 1.78571428571
+MOP4 es Die Palette reicht von Cooktown in Queensland , nördlich des Daintree River . 11 3, 1, 3, 1, 2, 3, 3, 3, 2, 3, 4, 1, 3, 2, 2 2.4
+MOP4 es Seine Arbeiten umfassen eine Oper , " Die Kleider machen Leute " zehn Sinfonien, sieben Konzerte , Kammermusik und Lieder . 16 3, 4, 4, 3, 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.73333333333
+MOP4 es Das Ziel dieser Maßnahme ist es, Informationen für die Fahrgäste über Murnau Bahnhof zu verbessern . 14 2, 3, 4, 3, 3, 4, 3, 4, 3, 4, 3, 3, 3, 4, 3 3.26666666667
+MOP4 es Viele haben andere Onsen Spa-Einrichtungen, künstlichen Wasserfällen , Massagen und Saunen . 10 2, 3, 2, 1, 3, 2, 3, 2, 4, 4, 3, 4, 1, 3 2.64285714286
+MOP4 es Ihr Dienstbereich im Einklang mit dem Düsseldorfer Stadtteil . 8 3, 4, 2, 2, 3, 3, 2, 2, 3, 2, 2, 4, 3, 2, 3 2.66666666667
+MOP4 es Allerdings war es noch unsicher , vor allem wegen des Mangels an Munition und Waffen . 14 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.92857142857
+MOP4 es National bekannt war der Ort von der katholischen Kongregation der Schwestern Dernbacher . 12 4, 4, 3, 4, 4, 2, 4, 3, 3, 4, 4, 2, 3, 4 3.42857142857
+MOP4 es Der 25. Mai 2005 wurde das Terminal geöffnet und erhielt die Bezeichnung Terminal 1 . 14 2, 2, 3, 2, 3, 4, 4, 3, 3, 2, 3, 3, 3, 1, 2 2.66666666667
+MOP4 es Der Friedhof wird entweder durch die Gemeinde oder lokale religiöse Gemeinschaft selbst laufen , beide Institutionen einig in einigen Kulturen . 19 3, 1, 2, 2, 1, 2, 2, 2, 2, 1, 2, 3, 1, 1, 2 1.8
+MOP4 es Während der Beginn des Zweiten Weltkriegs vor allem versucht, die Lebensmittelsicherheit und präventive Maßnahmen Kolonien im Falle eines militärischen Angriffs . 20 2, 1, 1, 1, 1, 3, 2, 2, 1, 1, 2, 2, 1, 1, 2 1.53333333333
+MOP4 es Der Erfolg war aufgrund der 50 Jahre nach dem Französisch Revolution in der tiefen Umstrukturierung der Französisch Gesellschaft . 18 3, 1, 2, 2, 1, 3, 1, 3, 1, 3, 3, 4, 1, 1, 2 2.06666666667
+MOP4 es Ilkay Akkaya ( * 26. Mai 1964 in Istanbul) ist ein Sänger und Mitglied der türkischen Aleviten Musik Kızılırmak Grup . 18 2, 4, 3, 2, 4, 3, 3, 4, 4, 4, 4, 3, 4, 4 3.42857142857
+MOP4 es Anfang 1906 hatte Shackleton der ersten Planung seiner eigenen Expedition in die Antarktis begonnen . 14 4, 4, 3, 3, 3, 3, 4, 3, 3, 3, 2, 3, 2, 4, 2 3.06666666667
+MOP4 es Diese Kirche ist dem heiligen Germanus von Auxerre geweiht ( " Saint Germain l' Auxerrois " ) gewidmet . 14 2, 4, 2, 3, 2, 3, 3, 3, 3, 3, 3, 3, 2, 3 2.78571428571
+MOP4 es Im Juni 1983 gab drei Konzerte Belfegore Eröffnung für den Herbst . 11 3, 1, 2, 2, 2, 2, 2, 3, 3, 2, 1, 1, 2, 1, 1, 2 1.875
+MOP4 es In der mündlichen Verhandlung , auch Brady sprach auch von ihrer Situation . 11 3, 2, 1, 2, 2, 1, 2, 3, 1, 1, 3, 1, 2, 2, 1 1.8
+MOP4 es Alle Dämme sind in den Grenzen des ehemaligen Großherzogtums Baden gefunden . 11 3, 1, 3, 3, 2, 3, 4, 3, 3, 2, 2, 3, 2, 3, 4, 3 2.75
+MOP4 es Nach dem IDW bilden ein Element der Sammlung von kommerziellen Konten ist im Grunde nichts verhindert . 16 2, 1, 2, 1, 3, 2, 1, 1, 1, 3, 2, 1, 1, 2 1.64285714286
+MOP4 es Tatsächlich hatte qualifizierte Dachdecker in Februar 1981 , sagte , während er in seinem Auto von Demonstranten bedrängt : " " Heute habe ich für den Frieden zu kämpfen . 24 1, 1, 1, 3, 2, 1, 2, 2, 1, 1, 3, 1, 1, 2 1.57142857143
+MOP4 es Nach seinem ersten Finger, dann die Hand amputiert , er erklärt sich bereit, Terroristen den Zugang zu den Daten . 18 3, 1, 1, 1, 2, 2, 2, 2, 2, 1, 1, 2, 1, 1, 1 1.53333333333
+MOP4 es Die Wurst -und Rindfleisch CEE GmbH Eberswalde Eberswalde EFG GmbH sind Hersteller von Fleisch und Wurst in Britz ( Eberswalde ) . 18 2, 4, 4, 3, 1, 3, 4, 3, 4, 4, 3, 4, 4, 4, 4 3.4
+MOP4 es Darüber hinaus wurde er mit dem Lenin -Preis, den Humboldt-Forschungspreis und den Preis Markov INR ausgezeichnet . 15 2, 4, 3, 3, 3, 3, 4, 3, 4, 4, 3, 4, 3, 3, 4, 4 3.375
+MOP4 es Dieser Zyklus wurde zumindest teilweise und vorübergehend verboten noch aufgetreten . 10 3, 1, 2, 2, 3, 2, 1, 2, 2, 1, 3, 1, 2, 2 1.92857142857
+MOP4 es Zwischen 1382 und 1453 Laarne verändert aus diesem Grund häufig den Besitzer . 12 2, 1, 2, 3, 1, 2, 3, 2, 2, 3, 3, 2, 2, 2 2.14285714286
+MOP4 es Adjouffou ist ein Slum in der Stadt Port - Bouet in Abidjan Bezirk, im Süden der Elfenbeinküste in Westafrika . 18 2, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 3, 4, 4 3.64285714286
+MOP4 es Grün begann seine Karriere 1983 an der RSC Anderlecht , mit dem er bis 1990 in der Jupiler League gespielt . 19 3, 4, 2, 3, 2, 3, 4, 3, 3, 2, 2, 2, 2, 2, 4 2.73333333333
+MOP4 es Er starb am 2. Oktober 1976 in Alexandria und wurde in Woodlawn Cemetery in der Bronx begraben . 17 3, 3, 3, 4, 4, 3, 4, 3, 4, 4, 4, 4, 3, 4, 4 3.6
+MOP4 es Die vorgeschriebenen Lesungen waren - " Rennen zu gewinnen ", und das Gleichnis von den Arbeitern im Weinberg . 15 3, 4, 3, 3, 2, 4, 4, 3, 3, 4, 4, 3, 1, 4 3.21428571429
+MOP4 es Diese Engagements wurden zunächst vor allem in den Markt der Altstadt und dem Kohlenstoffmarkt durchgeführt . 15 4, 3, 2, 3, 3, 4, 3, 3, 4, 3, 3, 3, 2, 2, 3, 4 3.0625
+MOP4 es Der 30. August 1398 und die Brüder Andre Rudprecht Leubenegg Gregory lobte der Erzbischof von Salzburg die folgenden . 18 2, 1, 2, 1, 1, 3, 2, 3, 1, 1, 3, 1, 2, 1 1.71428571429
+MOP4 es Nach einigem hin und her , die im Jahr 2013 mit Vince Köpke zusammen gekommen , kurz nach einer Beziehung mit Till Kuhn ( Bommel ) , aber immerhin . 24 3, 2, 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 1, 2, 1 1.46666666667
+MOP4 es Festival-Organisatoren Orchester Fusion oder spezielle Projekte , die ausschließlich zu erleben , regelmäßig Jazzopen entwickeln , sind: 14 1, 2, 1, 2, 2, 1, 3, 2, 1, 1, 3, 1, 2, 1 1.64285714286
+MOP4 es Matthijs war das zweite von drei Brüdern , die anderen Brüder Jacob und Willem Maris Maris . 15 3, 3, 2, 3, 3, 3, 2, 3, 1, 2, 2, 2, 3, 3, 2 2.46666666667
+MOP4 es Nach den Konventionen der Barock gilt streng symmetrisch mit vier Reihen von Fenstern auf jeder Seite der Mittelachse . 18 3, 2, 2, 2, 1, 3, 3, 2, 2, 2, 3, 2, 3, 1, 3 2.26666666667
+MOP4 es Das Hotel liegt an der A11 , der Hauptstraße zwischen Norwich und London , südlich von Thetford Waldfläche Wald . 17 2, 3, 3, 3, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 2.86666666667
+MOP4 no Nach dem Vertrag Begleitstaatenfür von ihnen verursachten Schäden in den Raum gestellt Objekte . 13 2, 1, 1, 3, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1 1.4
+MOP4 no Diese Nähte entstehen hier mit Bad im Norden Tageslicht gerichtet , sie sind dort von glaukonitischen Sandstein der Oberkreide ( " Essen grünen Sandstein " ) abdeckt . 22 2, 1, 2, 2, 1, 3, 2, 3, 3, 2, 1, 1, 1, 4, 1 1.93333333333
+MOP4 no 1971 und 1994 wurde die Zugabe von kleinen Verbesserungen . 9 3, 1, 2, 3, 1, 3, 2, 2, 2, 2, 2, 3, 1, 1, 2 2.0
+MOP4 no Sie wurden von seinem Sohn Wolfgang Freundsberg gelungen ; diese kinderlos starb 1449 . 12 3, 1, 2, 1, 2, 2, 1, 1, 1, 3, 1, 1, 1, 2 1.57142857143
+MOP4 no Am Südhang Wein wurden in der Vergangenheit produziert . 8 3, 1, 2, 3, 2, 3, 2, 2, 3, 3, 1, 2, 1, 2, 2 2.13333333333
+MOP4 no Die Dreharbeiten gingen, aber so schlecht, dass Meister wandte sich schließlich einen großen Teil der Bilder ohne Ton . 18 3, 2, 2, 2, 1, 2, 3, 2, 2, 2, 1, 1, 1, 2, 1 1.8
+MOP4 no Die Kollision brach DC 9 noch in der Luft und stürzte ab . 12 3, 1, 2, 2, 3, 3, 3, 2, 3, 2, 3, 1, 2, 3 2.35714285714
+MOP4 no Jimmy Dixon ( in Bomi geboren 10. Oktober 1981 ) ist ein Fußballspieler aus Liberia . 13 2, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.71428571429
+MOP4 no Von 1884 bis 1888 war er Präsident der " Partidul National Roman din Transilvania Si Banat " (PNR , Rumänische Nationalpartei ) . 17 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.92307692308
+MOP4 no Einzelne Lehrer oder Lehrerinnen lehnen jegliche Pflege oder Erziehung von einer Gruppe oder Klasse , statt selbst Fan - egal , aber schon ein Fan - orientiert . 23 2, 1, 1, 1, 2, 1, 2, 1, 1, 2, 3, 1, 2, 2 1.57142857143
+MOP4 no Heute ist die ehemalige Klosterkirche der katholischen Gemeinde Sainte - Colette -des - Trois - Vallées verwendet . 13 2, 1, 2, 3, 2, 3, 2, 2, 1, 2, 1, 2, 3, 3 2.07142857143
+MOP4 no Nester werden in dichter Vegetation gebaut und bei den meisten Arten in der Nähe von Wasser an Strohhalme verwurzelt . 19 3, 4, 3, 3, 4, 4, 4, 3, 4, 3, 4, 4, 4, 4 3.64285714286
+MOP4 no Melchiors Mutter beantwortet einen Brief von Moritz, um Geld zu bitten , nach Amerika zu fliehen . 15 2, 1, 2, 3, 1, 3, 1, 2, 2, 2, 2, 3, 3, 3 2.14285714286
+MOP4 no Er hat ein enormes Springvermögen und Agilität , spielt gut mit und erkennen, Situationen in der Knospe . 16 3, 1, 1, 3, 1, 3, 2, 2, 2, 1, 2, 2, 1, 2, 2 1.86666666667
+MOP4 no Laut der offiziellen Facebook-Präsenz des Musikarchiv Spirit of Metal ist der weltweit größte Online-Enzyklopädie für Metal und Rock . 18 4, 2, 4, 4, 2, 3, 3, 4, 2, 3, 3, 2, 3, 3, 3 3.0
+MOP4 no Während dieser Zeit veröffentlichte sie auch Nachdrucke des Schweizerischen Nationalfonds und der Schweizerischen Hilfe für Kriegsnotleidende Studenten . 17 4, 3, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.88235294118
+MOP4 no 20. Dezember 1994 Cl Maschinenbau GmbH wurde gegründet . 8 3, 1, 4, 1, 3, 3, 2, 3, 1, 3, 2, 3, 3, 2 2.42857142857
+MOP4 no Der letzte " Lector secundarius " war Johann Heinrich Daniel Moldenhawer . 9 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.86666666667
+MOP4 no Während der Kämpfe immer noch 27 polnische Maschinen dieses Typs 54141-167 kam zu Dr . 14 3, 1, 2, 1, 2, 1, 1, 2, 2, 1, 2, 2, 1, 1, 1 1.53333333333
+MOP4 no Die Anfang 1980 ergänzt ein 2000 GLX Kombi im Angebot . 10 3, 2, 1, 3, 1, 3, 2, 2, 3, 1, 1, 1, 1, 2, 2 1.86666666667
+MOP4 no Das brennende Bett ist eine amerikanische TV-Drama in 1984. Gemacht 10 3, 2, 2, 3, 2, 1, 2, 3, 2, 1, 3, 1, 2, 2 2.07142857143
+MOP4 no Während des 80. Jahrhunderts , seine Alkohol -und Drogenkonsum weit verbreitet und hielt ihn für die meisten der kreativen Arbeit . 18 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 3, 2, 1, 1, 2 1.4
+MOP4 no Banknotenpapier ist , mit wenigen Ausnahmen , die so genannte DC - Rundsiebpapiermaschine . 10 3, 3, 2, 2, 3, 3, 2, 2, 1, 4, 2, 3, 2, 2 2.42857142857
+MOP4 no Nachdem in Yunnan gebaut worden, wird von einigen Autoren als erste Kettenbrücke betrachtet . 13 3, 1, 3, 3, 1, 3, 1, 2, 2, 1, 1, 1, 1, 2, 2 1.8
+MOP4 no Bis zur ersten industriellen Herstellung von Hartfett in Warrington es dauerte nur zwei Jahre . 14 2, 2, 3, 3, 3, 3, 1, 4, 3, 3, 3, 3, 1, 2, 3, 3 2.625
+MOP4 no Ihre Zeichnungen und Radierungen tragen ihre individuelle , unverwechselbare künstlerische Handschrift . 10 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.86666666667
+MOP4 no Interactive Data Corporation ( NASDAQ: IDC) ist ein US-amerikanischer Wirtschaftsinformationsdienst . 9 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.875
+MOP4 no Senkungen Service-Level in Ernst überschritten ist nur durch die " Entfernung aus dem Dienst " . 12 3, 1, 1, 2, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1 1.46666666667
+MOP4 no Sicher ist, dass das Dorf in einem Kappel Altstrasse . 9 2, 1, 2, 2, 1, 3, 2, 3, 1, 2, 2, 1, 2, 2 1.85714285714
+MOP4 no Seine Leistungen in der Gemeindeversammlung soll durch hohe Rhetorik und Geist voller Humor und den Gegner , dh charakterisiert werden 19 2, 1, 2, 3, 1, 3, 2, 3, 3, 2, 1, 3, 1, 3, 2 2.13333333333
+MOP4 no In Torgleichheit nach 90 Minuten Spielzeit mit einer Verlängerung und einer möglichen späteren Elfmeterschießen sofortige Entscheidung erstellt . 17 3, 1, 2, 1, 1, 2, 3, 2, 2, 1, 2, 2, 1, 2, 2 1.8
+MOP4 no Der Rat wird in Workum basiert , die anderen Orte in der Gemeinde sind : Hemelum , Hindeloopen , die Heide Schiffe , Koudum , Molkwerum , Scharl , Stavoren und warnen . 24 3, 1, 1, 2, 1, 3, 2, 2, 3, 4, 2, 2, 1, 1, 2 2.0
+MOP4 no Seine wissenschaftlichen Interessen seit 1795 zunächst vor allem in der Zoologie . 11 3, 1, 2, 2, 3, 3, 3, 3, 2, 3, 4, 2, 3, 2, 3, 3 2.625
+MOP4 no NGC 1748 wurde 1836 von John Herschel entdeckt und wird in das neue Verzeichnis aufgeführt . 15 3, 2, 3, 4, 2, 4, 3, 3, 4, 4, 2, 3, 3, 3, 4 3.13333333333
+MOP4 no Der österreichischen Geheimdienst, er als Diplomat in Stockholm und Bern tätig . 10 3, 1, 2, 1, 3, 1, 3, 3, 2, 2, 3, 1, 1, 1, 1 1.86666666667
+MOP4 no Beide koexistieren mit ihrem Puppentheater und etwas Landwirtschaft . 8 3, 3, 2, 3, 4, 4, 3, 4, 4, 3, 3, 4, 3, 3, 4 3.33333333333
+MOP4 no Dort war er für die Bindung Land , städtische Masterpläne , die Erhaltung und Bauvorschriften , Stadtplanung Wettbewerbe und Gestaltung des öffentlichen Raumes verantwortlich . 20 3, 2, 3, 2, 2, 3, 4, 3, 2, 3, 4, 3, 3, 4 2.92857142857
+MOP4 no Die Serie wurde am 14. Juni 2007 bis 6. September 2007 von dem Sender WOWOW in Japan ausgestrahlt wurde . 19 3, 2, 3, 3, 2, 3, 3, 2, 3, 2, 3, 2, 3, 3 2.64285714286
+MOP4 no Der weltweite Bestseller " 1000 Places zu sehen, bevor Sie sterben" von Patricia Schultz erschien im April 2006 in der deutschen Übersetzung für " Ullmann " . 22 3, 2, 3, 2, 2, 3, 3, 3, 4, 2, 3, 4, 3, 3, 3 2.86666666667
+MOP4 no Einer der anderen Kessel in der Siedlung Lindenhof aufgeführt denen verbindet den Westen zum Friedhof und Crooked Feuersee entfernt . 19 2, 1, 2, 1, 2, 1, 2, 2, 1, 1, 2, 2, 1, 1, 2 1.53333333333
+MOP4 no In der dritten Ausgabe des Nations Cup , er war in der Siegermannschaft und kam drei Mal zum Einsatz . 18 3, 2, 2, 2, 3, 2, 4, 3, 3, 3, 3, 3, 3, 2 2.71428571429
+MOP4 no Dann legte er die Befreiungskriege im Zusammenhang mit der Assimilation und der Befreiung der jüdischen Bevölkerung . 16 3, 2, 2, 2, 3, 3, 3, 2, 3, 3, 3, 4, 3, 3, 3 2.8
+MOP4 no Nach den Wirren des Dreißigjährigen Krieges wurde die Kirche im Jahre 1666 wieder aufgebaut . 14 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.86666666667
+MOP4 no Schimmelpfennig war der jüngste von drei Brüdern in einer Familie von Musikern . 12 2, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP4 no In Lahti, der Finne beendete am 6. März 2004 werden seine erfolgreiche Karriere mit einem dritten . 16 3, 1, 2, 1, 1, 1, 2, 1, 2, 1, 2, 1, 2, 2 1.57142857143
+MOP4 no In DFB - Pokal erzielte er fünf Tore für sein Team in acht Spielen . 13 2, 2, 4, 3, 4, 3, 4, 4, 4, 3, 4, 4, 3, 3, 2 3.26666666667
+MOP4 no Die beiden Teile der Serie in der besten - von -Zwei Modus fand am 24. und 30. August 2008 . 17 3, 1, 2, 1, 3, 2, 2, 1, 2, 2, 2, 1, 2, 1 1.78571428571
+MOP4 no Die Zeitschrift " TV Direkt" 10/2007 , schrieb Film -Spiele " " Kugel " " mit " " Primal Fear "," die Menschen . 13 3, 1, 1, 1, 1, 2, 1, 1, 1, 1, 3, 1, 1, 1 1.35714285714
+MOP4 no Bisher sind Meerwasser und Schneeschmelze als Referenzpunkte verwendet . 8 3, 2, 4, 2, 4, 3, 2, 3, 3, 3, 3, 3, 2, 3, 3 2.86666666667
+MOP4 no Sowohl Kinder als auch Erwachsene können Probleme auf ihrem lösen . 10 3, 3, 2, 3, 1, 3, 3, 2, 1, 3, 3, 2, 2, 2 2.35714285714
+MOP4 no Auch aus den umliegenden Dörfern ist die Mitglieder selbst aus ganz Deutschland . 12 2, 1, 2, 1, 3, 2, 2, 2, 1, 1, 3, 1, 1, 2 1.71428571429
+MOP4 no Die Alumni sind Nobelpreisträger , Verwaltung , Politiker, hochrangige Geistliche , führende Mitglieder der schwedischen Akademien und Senior Künstler . 16 4, 4, 3, 2, 3, 3, 4, 4, 4, 4, 4, 3, 3, 3 3.42857142857
+MOP4 no Die "primäre" Tuffit bei einem Vulkanausbruch entstanden , und ist besonders häufig in plinianische Eruptionen in Erscheinung . 15 3, 1, 2, 2, 1, 3, 2, 3, 3, 2, 2, 1, 2, 1 2.0
+MOP4 no Von 1909 bis 1918 war sie Direktorin der Liberalen Linkspartei . 10 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.85714285714
+MOP4 no 2012 Visser zog in den Formelsport und bekam ein Cockpit bei Moto Park Akademie betreut Schicht "Lotus" in der ADAC Formel Masters . 21 4, 1, 1, 1, 3, 2, 2, 3, 2, 2, 2, 1, 1, 2 1.92857142857
+MOP4 no 1955 ein einheitlicher Standard mit einem einheitlichen Name wurde von der Empfehlung des Australian Kennel Control Council ( AKCC ) konzipiert . 19 3, 1, 2, 3, 2, 3, 1, 3, 3, 3, 3, 1, 2, 2, 3 2.33333333333
+MOP4 no Bereits in der Mitte des 19. Jahrhunderts entstand der Plan in das Feld, um einen Handelshafen zu bauen . 18 1, 2, 3, 2, 3, 3, 3, 3, 1, 2, 3, 2, 3, 3 2.42857142857
+MOP4 no Die Mission der vierzehn Jahre alten Kinder des Ortes ist es, die heilige Woche nach Ratschen die Kirchenglocken ersetzen . 19 3, 1, 2, 2, 1, 3, 2, 3, 3, 2, 2, 2, 2, 3 2.21428571429
+MOP4 no 10,5 cm Geschützturm 1939 L52 hatte eine Anfangsgeschwindigkeit von 830 m / s und eine Feuerbereich von bis zu 22 km ( mit spitzen Schale 24 km) . 25 3, 4, 2, 4, 2, 3, 3, 3, 3, 1, 4, 2, 3, 2, 2 2.73333333333
+MOP4 no Benachbarte Städte sind Badolato , San Sostene Sant'Andrea Apostolo dello Ionio und . 11 3, 2, 3, 2, 2, 3, 3, 3, 3, 4, 2, 2, 3, 3, 3 2.73333333333
+MOP4 no Er war Beamter und bis zu seinem Tod " großen Redner " The Great Lodge von Deutschland in Berlin ( " Zinnendorfisches System ") . 19 3, 2, 1, 2, 1, 3, 1, 2, 1, 2, 1, 2, 3, 3 1.92857142857
+MOP4 no Es sagte Margaret ist wahrscheinlich der Prototyp des legendären Margaret von Litermont von lokalen Regierungs Maldix Saga . 17 3, 1, 2, 1, 1, 3, 2, 2, 3, 1, 3, 3, 1, 1, 2 1.93333333333
+MOP4 no Von 1951 war er wissenschaftlicher Mitarbeiter , zuletzt Ober Dozent an der Deutschen ZentralbildungsinstitutBerlin . 13 3, 2, 3, 3, 3, 2, 3, 3, 3, 3, 4, 3, 3, 3 2.92857142857
+MOP4 no Helen Frankenthaler gestorben 27. Dezember 2011 im Alter von 83 Jahren . 11 2, 3, 4, 3, 3, 3, 4, 2, 4, 4, 3, 3, 3, 1 3.0
+MOP4 no Von 1965 praktizierte er als Anwalt in Portland . 8 3, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 3, 3, 4, 3 3.6
+MOP4 no Schon als Gymnasiast hatte sich Meinecke Pop-Kultur inspiriert . 8 3, 2, 2, 3, 2, 3, 3, 2, 3, 3, 3, 2, 2, 3, 2 2.53333333333
+MOP4 no Cobham ist eine Stadt im Landkreis Elmbridge in Surrey . 9 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 no Er war ein Mitglied der St. Alexander- katholischen Kirche . 9 3, 4, 3, 2, 3, 3, 4, 4, 4, 4, 3, 4, 4 3.46153846154
+MOP4 no Auch der Sohn des Sängers , hält sie von der Außenwelt versteckt und hat keine Augen , dominiert die Rede . 18 3, 1, 2, 1, 2, 1, 1, 2, 1, 1, 2, 2, 1, 2, 2 1.6
+MOP4 no Kurz vor hat Angelica , Tochter des Hauptmanns von der Saale , von der Vorderseite angenommen und begann nach Hause . 18 2, 1, 3, 1, 1, 1, 1, 2, 2, 1, 1, 2, 2, 1, 2, 2 1.5625
+MOP4 no der bärtige wurde im Jahr 1045 durch einen kaiserlichen Armee zerstört . 11 3, 2, 1, 3, 2, 2, 2, 2, 3, 2, 3, 2, 3, 3 2.35714285714
+MOP4 no Insbesondere die von den oben genannten Titel der Abstieg Phase des Lande ein wichtiges neues Element mit Telemetrie sein . 19 3, 1, 2, 1, 1, 2, 1, 2, 2, 1, 1, 3, 1, 2, 2 1.66666666667
+MOP4 no Pierre - Henri de Valenciennes war einer der bedeutendsten Landschaftsmaler seiner Zeit . 11 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.86666666667
+MOP4 no Viele haben andere Onsen Spa-Einrichtungen, künstlichen Wasserfällen , Massagen und Saunen . 10 3, 1, 2, 1, 2, 2, 3, 2, 3, 3, 1, 3, 3, 2, 1 2.13333333333
+MOP4 no Am 25. Mai 2005 wurde das Terminal eingeweiht und wurde von Terminal 1 genannt . 14 2, 2, 2, 3, 3, 2, 1, 3, 2, 3, 3, 3, 3, 1, 2, 3 2.375
+MOP4 no Zu Beginn des Zweiten Weltkriegs versuchte er, vor allem die Nahrungsmittelsicherheit in der Kolonie und präventive Maßnahmen im Falle eines militärischen Angriffs . 22 3, 2, 2, 2, 2, 3, 2, 2, 2, 3, 3, 2, 2, 3, 3 2.4
+MOP4 no Der Erfolg war auf den 50 Jahren , die die Französisch Revolution in der tiefen Umstrukturierung der Französisch Gesellschaft gefolgt . 19 3, 1, 2, 3, 1, 3, 3, 2, 2, 2, 1, 1, 1, 2, 2 1.93333333333
+MOP4 no Die Weber wurden in den folgenden Jahrzehnten der Konkurrenz von maschinell hergestellten Stoffe ersetzt . 14 4, 1, 2, 3, 1, 2, 3, 3, 3, 3, 3, 1, 4, 3 2.57142857143
+MOP4 no Anfang 1906 hatte Shackleton Anfangs begonnen Planung seiner eigenen Antarktis-Expedition . 10 3, 1, 2, 3, 1, 2, 1, 1, 2, 3, 2, 2, 2 1.92307692308
+MOP4 no Seine Artikel demonstriert den Unterschied zwischen sozialdemokratischer Politik und der bürgerlichen Parteien . 12 2, 1, 3, 3, 2, 3, 2, 3, 3, 3, 2, 3, 2, 1, 3, 3 2.4375
+MOP4 no Diese Kirche ist dem heiligen Germanus von Auxerre geweiht ( " Saint Germain l' Auxerrois " ) gewidmet . 14 3, 4, 3, 3, 3, 2, 4, 4, 2, 3, 3, 3, 4, 2, 3, 3 3.0625
+MOP4 no In der mündlichen Verhandlung Brady sprach auch noch auf seine Situation . 11 3, 1, 2, 3, 1, 3, 2, 3, 2, 1, 1, 1, 2, 1, 3 1.93333333333
+MOP4 no Adolf Dyroff ( * 2. Februar 1866 in Damm, † 3. Juli 1943 in München ) war ein deutscher Philosoph . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 no In der Stellungnahme des IDW Bildung eines Sammelelement für kommerzielle Konten ist im Grunde nichts zu verhindern . 17 3, 1, 2, 3, 1, 3, 3, 3, 2, 3, 3, 1, 1, 1, 1 2.06666666667
+MOP4 no Nach seinem ersten Finger und späterer Hand amputiert , stimmt er zu geben Terroristen den Zugang zu den Daten . 18 3, 1, 2, 2, 2, 2, 2, 1, 1, 2, 2, 1, 1, 2 1.71428571429
+MOP4 no In der Saison 2009-10 konnte der Dede er -Zurück Position verdrängen links und wurde Stammspieler . 14 3, 1, 2, 3, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1 1.53333333333
+MOP4 no Felix von Harburg an das Kloster in Heidenheim recycelt Kanon . 10 2, 1, 1, 1, 1, 3, 2, 2, 1, 1, 2, 1, 1, 1, 2 1.46666666667
+MOP4 no EWG Eberswalder Wurst und Fleisch GmbH EFG Eberswalde GmbH sind Hersteller von Fleisch -und Wurstwaren in Britz ( Eberswalde ) . 17 4, 4, 4, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 3 3.73333333333
+MOP4 no Der Weihbischof Wolfgang von Seelsorgsregion Süd der Erzdiözese München und Freising kommt auch aus Freising . 15 3, 1, 2, 3, 3, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.35714285714
+MOP4 no Grün begann seine berufliche Laufbahn 1983 bei RSC Anderlecht , für den er bis 1990 in der Jupiler League gespielt . 19 3, 2, 3, 4, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4 3.26666666667
+MOP4 no Er starb am 2. Oktober 1976 in Alexandria und wurde in Woodlawn Cemetery in der Bronx begraben . 17 4, 3, 4, 3, 4, 4, 3, 3, 4, 4, 4, 3, 4, 3, 4, 4 3.625
+MOP4 no Die vorgeschriebenen Lesungen waren - " Rennen zu gewinnen ", und das Gleichnis von den Arbeitern im Weinberg . 15 3, 4, 4, 4, 2, 3, 2, 4, 3, 4, 4, 1, 3, 4, 4 3.26666666667
+MOP4 no Danach war er Assistent Jahn und habilitierte im Jahre 1903 ( Präzisionskryoskopie von Nicht- Elektrolyte) . 14 2, 1, 2, 2, 3, 3, 2, 2, 3, 3, 1, 2, 3, 3 2.28571428571
+MOP4 no Darüber hinaus brachte Anna Fänger, Tochter des verstorbenen Autors Rolf Fänger , Mondbären im Jahr 2012 als Puppenspiel auf die Bühne . 20 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 no Nach einigem hin und her kam sie im Jahr 2013 , kurz nach einer Beziehung mit Till Kuhn ( Bommel ) , aber immer noch mit Vince Köpke zusammen . 25 2, 1, 2, 3, 3, 4, 1, 3, 2, 4, 3, 4, 3, 3, 2 2.66666666667
+MOP4 no Festival-Organisatoren entwickeln regelmäßig Sonder Fusion oder Orchesterprojekte , die sich ausschließlich an der Jazz Open erleben sind : 16 3, 1, 2, 1, 1, 3, 2, 1, 2, 2, 3, 3, 1, 2, 3 2.0
+MOP4 no Als sie zurückkehrten , sie durch Assoziation mit mehreren Monaten der Kampf Suspensionen bestraft . 13 1, 1, 3, 1, 2, 2, 1, 1, 2, 1, 1, 1, 2, 2, 3 1.6
+MOP4 no Matthijs war der mittlere von drei Brüdern , die anderen Geschwister Jacob und Willem Maris Maris . 15 3, 3, 3, 2, 3, 3, 3, 3, 3, 3, 4, 3, 4, 2 3.0
+MOP4 no Nach den Barockstil Konventionen sind streng symmetrisch mit vier Reihen von Fenstern auf jeder Seite der zentralen Achse angelegt . 19 2, 3, 3, 2, 2, 3, 2, 2, 3, 2, 3, 3, 2, 2, 3 2.46666666667
+MOP4 no Es basiert auf der A11 , der Hauptstraße zwischen Norwich und London , südlich von Thetford Waldfläche Wald . 16 3, 2, 3, 2, 3, 2, 3, 3, 3, 2, 4, 2, 2, 3 2.64285714286
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@@ -0,0 +1,501 @@
+MOP language text length rating_list mean_rating
+MOP4 ru Декорация рамы картины и жест младенца бесспорно напоминают хранящуюся в Лувре «Маэста» Чимабуэ . 12 4, 4, 4, 2, 3, 4, 4, 4, 4, 4, 4, 3, 4 3.69230769231
+MOP4 ru Историки и социологи отмечают распространенность в науке «множественных независимых открытий» . 9 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.9
+MOP4 ru Верховный Совет УССР ( ) — высший орган государственной власти и единственный законодательный орган Украинской ССР . 13 4, 2, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP4 ru Существует легенда , которую приводит аббат Пьер де Марка в «Истории Беарна» ( XVII век ) . 12 4, 3, 4, 1, 4, 4, 4, 4, 3, 4, 4 3.54545454545
+MOP4 ru Его произведения сентиментальны и живописуют хорошо знакомую писателю по личному опыту жизнь населения горного района , тягу к лучшему будущему и отличаются сильным местным колоритом . 24 4, 3, 3, 3, 3, 1, 4, 4, 3, 4, 4, 3, 2, 4, 1 3.06666666667
+MOP4 ru Послы с соборными постановлениями были отправлены на Восток и достигли Антиохии в апреле 344 года . 15 4, 3, 4, 3, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.76923076923
+MOP4 ru Соглашение предусматривает разделение доходов от продажи нефти , а также дальнейшую интеграцию трёх восточных штатов ( Красное море , Кассала и Гедареф ) в одну административную единицу . 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4 3.92857142857
+MOP4 ru С этого времени он начальник артиллерийского управления военного округа , затем — исполняющий должность начальника отделения в Главном артиллерийском управлении войск А . 20 4, 4, 4, 3, 3, 3, 4, 4, 4, 4, 3, 4, 4 3.69230769231
+MOP4 ru Ингибирование субстратом — частный случай бесконкурентного ингибирования , когда две молекулы субстрата связываются с ферментом , что препятствует образованию продукта . 17 4, 4, 4, 4, 4, 4, 4, 3, 3, 3, 2, 4, 4, 4, 4, 3 3.625
+MOP4 ru С течением времени союзники всё охотнее соглашались вносить деньги вместо поставки судов . 12 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4 3.83333333333
+MOP4 ru Квантунская армия располагала также бактериологическим оружием , подготовленным для применения против советских войск ( см . 13 4, 2, 4, 4, 4, 3, 4, 3, 4, 4, 4, 3, 4 3.61538461538
+MOP4 ru при династии Сефевидов императорские мануфактуры выпускали огромные напольные ковры . 9 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.90909090909
+MOP4 ru С 2005 года стал выступать за сборную Узбекистана . 8 4, 3, 4, 3, 3, 4, 4, 4, 4, 4, 4, 3, 4 3.69230769231
+MOP4 ru Организатором турнира является Skate Canada при поддержке ИСУ . 8 4, 4, 4, 4, 2, 4, 3, 3, 4, 3, 4, 3, 4 3.53846153846
+MOP4 ru Наименование Mark II использовалось компанией Toyota на протяжении нескольких десятилетий и первоначально использовалось в составе названия Toyota Corona Mark II . 20 4, 4, 4, 4, 3, 3, 3, 3, 4, 4, 4 3.63636363636
+MOP4 ru Первый выпуск средней школы № 64 был в 1967 году . 9 4, 2, 4, 3, 3, 4, 4, 4, 4, 4, 4 3.63636363636
+MOP4 ru После крушения самолёта Бун помогал Джеку оказывать выжившим первую помощь . 10 4, 3, 4, 4, 4, 2, 4, 4, 4, 4 3.7
+MOP4 ru Его сын Адольф I стал первым графом Берга . 8 4, 3, 4, 4, 2, 4, 4, 3, 4, 4, 4, 4 3.66666666667
+MOP4 ru С 2011 года — тренер по физической подготовке футбольного клуба «Атырау» . 9 4, 4, 4, 3, 3, 4, 4, 3, 4, 4, 4, 4, 4 3.76923076923
+MOP4 ru В распоряжение правительств оставалось 100 млн драхм , бόльшая часть которых шла на закрытие дыр бюджета . 15 4, 4, 4, 3, 4, 4, 2, 3, 4, 4, 4, 4, 4 3.69230769231
+MOP4 ru Блок управления в таких кондиционерах преобразует переменный ток питания в постоянный и затем формирует переменный ток с необходимой частотой . 19 4, 3, 4, 2, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.71428571429
+MOP4 ru Клавишные партии в этом альбоме исполняли Ронни Джеймс Дио и Джимми Бэйн . 12 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.92307692308
+MOP4 ru В сборной России Яковлев дебютировал 1 июля 1912 года на первой для страны Олимпиаде , в матче , в котором россияне сокрушительно проиграли сборной Германии 0:16 . 24 4, 2, 4, 4, 2, 4, 2, 4, 4, 4, 4, 4 3.5
+MOP4 ru 30 декабря 1977 в городе Хабаровск ) — российская спортсменка , мастер спорта международного класса . 12 3, 3, 4, 3, 3, 3, 4, 3, 3, 3, 3, 2 3.08333333333
+MOP4 ru Когда Торибио де Могровехо был назначен архиепископом Лимы , Франсиско де Киньнес отправился с ним в 1580 году в Новый Свет . 20 4, 4, 4, 4, 1, 3, 4, 4, 4, 4, 3, 4, 4, 3, 4 3.6
+MOP4 ru На смену Лене пришла новая солистка — Анюта Морозова , ранее работавшая в детской студии «Антарэкс» . 13 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4 3.83333333333
+MOP4 ru Андреев-Бурлак : память и наследие» , Жорес Трофимов , «Симбирская книга» , 1995 г . 9 3, 3, 4, 4, 3, 2, 3, 4, 2, 4, 4, 3 3.25
+MOP4 ru С тех пор постоянно снимается в кино , ситкомах , сериалах , и юмористических шоу , таких как «Вечерний Киев» , «Рюрики» , «Насправді-шоу» , «Бойцовский клуб» , «КиС» , «Матриархат» . 16 4, 4, 4, 3, 4, 3, 4, 4, 4, 3, 4, 4 3.75
+MOP4 ru Бразилия потерпела поражение в конфликте по поводу территориальных претензий на Уругвай . 11 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 3, 4 3.75
+MOP4 ru Своевременная обработка мелких травм 5 % спиртовым р-ром йода или другими дезинфицирующими препаратами . 12 4, 4, 4, 4, 3, 4, 3, 3, 4, 4, 4, 4, 3, 4 3.71428571429
+MOP4 ru Герцог Пентьевр выбрал в невесты своему сыну принцессу Марию Терезу Луизу , родившуюся в Италии . 14 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4 3.91666666667
+MOP4 ru С 4-х лет начала ходить в Баодинский спортивный детский сад , с 10-ти лет начала тренироваться при Баодинском спортивном институте . 19 4, 2, 4, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4 3.61538461538
+MOP4 ru В 1955 году Пий XII внёс существенные изменения в службы Вербного ( Пальмового ) Воскресенья , Пасхального Триденствия и Навечерия Пятидесятницы . 18 4, 4, 4, 4, 1, 4, 4, 3, 4, 4, 1, 4 3.41666666667
+MOP4 ru Финал третьего сезона посмотрело более 9 ,21 млн зрителей не считая записей на DVR . 13 4, 3, 3, 3, 4, 3, 4, 4, 4, 4, 4 3.63636363636
+MOP4 ru На лицевой стороне в центре медали размещено изображение двух рук , одна из которых протянута к другой для спасения . 18 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4 3.78571428571
+MOP4 ru По данным Федеральной службы государственной статистики , на 2010 год количество трамвайных вагонов составляет 30 на 100 000 человек . 18 4, 4, 4, 3, 4, 4, 4, 3, 3, 4, 4, 4 3.75
+MOP4 ru Сосновка , Кировская область ) было построено три судна серии , получившие наименования Баргузин-1 и Баргузин-2 Баргузин-3 . 14 4, 3, 3, 1, 4, 3, 2, 3, 3, 3, 3, 3, 3 2.92307692308
+MOP4 ru Известен , прежде всего , как автор акварельных пейзажей — в 1870-е гг . 10 2, 4, 3, 3, 3, 2, 3, 4, 4, 4, 3, 3, 4 3.23076923077
+MOP4 ru , 1828 ) , кроме исторических и географических статей содержит множество литературно-исторических и филологических исследований . 12 4, 4, 2, 4, 4, 3, 3, 4, 4, 3, 3, 4 3.5
+MOP4 ru Любимой командой называет «Реал Мадрид» , любимым игроком — Дэвида Бекхэма . 8 4, 3, 4, 4, 3, 3, 2, 4, 4, 4, 4, 4, 3, 3 3.5
+MOP4 ru Умерла 9 июля 2010 года от острой сердечной недостаточности перед соревнованиями на аэродроме Днепропетровщины , где должна была участвовать в качестве судьи . 21 4, 3, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4 3.71428571429
+MOP4 ru В 2003-м злой гений Штеффена принял решение перейти в супертяжелую весовую категорию . 12 4, 4, 4, 4, 4, 4, 4, 2, 2, 4, 3, 4, 4, 4, 3 3.6
+MOP4 ru Погребальная камера , расположенная в конце 160-метрового корридора , первоначально использовалась в качестве четырёх саркофагов . 13 4, 3, 3, 4, 4, 3, 4, 3, 2, 3, 4, 4, 4 3.46153846154
+MOP4 ru Более того , численность афроамериканцев растёт за счёт внешней миграции : в страну вновь переселяется значительное количество чёрнокожих из Африки и стран Карибского бассейна . 22 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4 3.84615384615
+MOP4 ru 6 марта во Львов также прибыл каштелян киевский Стефан Чарнецкий с шеститысячной дивизией . 13 4, 4, 4, 3, 4, 3, 4, 4, 4, 4, 4 3.81818181818
+MOP4 ru Река впадает в Выгозеро , её длина составляет 14 км , площадь водосборного бассейна — 49 ,9 км² . 14 2, 3, 4, 3, 3, 4, 4, 4, 3, 4, 4, 4, 3 3.46153846154
+MOP4 ru Объявила о завершении спортивной карьеры по окончании сезона 2005—2006 . 9 3, 2, 3, 3, 4, 3, 4, 3, 4, 2, 4, 4, 3 3.23076923077
+MOP4 ru После 2-го раздела Речи Посполитой ( 1793 год ) в составе Российской империи . 11 4, 4, 3, 3, 3, 3, 3, 4, 3, 2, 4, 3, 4 3.30769230769
+MOP4 ru Согласно уставу коммуны Венеция , принятому в 1991 году , Венеция является столичным городом Италии . 13 3, 2, 3, 2, 3, 2, 4, 4, 1, 2, 4, 3, 4, 3, 4 2.93333333333
+MOP4 ru Разгневанные птицы решают им отомстить и вернуть яйца обратно . 9 4, 3, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4 3.75
+MOP4 ru Фреска «Святой Симон Сток , получающий наплечник ордена кармелитов от Девы Марии и Младенца» считается одним из шедевров Тьеполо . 17 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 3 3.84615384615
+MOP4 ru Идея теста основана на сравнении функций правдоподобия для длинной модели ( без ограничений ) и короткой модели ( с ограничениями ) . 17 4, 3, 2, 3, 4, 4, 4, 4, 3, 2, 4, 4, 4, 4, 2 3.4
+MOP4 ru С июля аналогичная компания разворачивается сотрудничавшей с немецкой разведкой ОУН и рядом других украинских эмигрантских организаций в отношении «страдающих украинцев в СССР» . 21 4, 3, 2, 1, 4, 4, 4, 2, 4, 4, 2, 3, 1 2.92307692308
+MOP4 ru NGC 1857 ( другое обозначение — OCL 428 ) — рассеянное скопление в созвездии Возничий . 11 4, 2, 4, 4, 4, 3, 4, 4, 3, 4, 3, 3, 4 3.53846153846
+MOP4 ru В " World of Warcraft " также присутствует секрет , связанный с Керриган . 10 3, 4, 4, 4, 3, 3, 3, 4, 4, 4, 3, 4 3.58333333333
+MOP4 ru В сезоне 1997/1998 Мэнинг играл на позиции центра . 8 3, 3, 3, 3, 2, 4, 3, 4, 3, 4, 3, 4, 4 3.30769230769
+MOP4 ru Их задачей было обеспечение контроля с воздуха , а также материальное снабжение группировки войск . 13 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4 3.90909090909
+MOP4 ru Согласно данным независимого проекта-исследования «Тальниковый водопад : миф или реальность ? 8 3, 4, 4, 4, 2, 4, 2, 3, 3, 3, 3 3.18181818182
+MOP4 ru Двойное убийство совершено поздно вечером 12 июня 1994 года в бывшем доме Симпсонов . 13 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 3, 4, 4 3.8
+MOP4 ru В VI Менделеевском съезде участвовало 3211 делегатов , представлено 320 докладов . 10 4, 3, 4, 3, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP4 ru В 1824 Испания назначила в Пуэрто-Рико нового губернатора лейтенанта-генерала Мигеля Лучано . 11 4, 4, 4, 4, 4, 3, 3, 4, 3, 4, 3, 3, 4, 4 3.64285714286
+MOP4 ru В феврале 1941 года был призван на службу в Рабоче-крестьянскую Красную Армию . 12 4, 4, 4, 3, 3, 4, 3, 3, 4, 4, 4, 4, 4, 4 3.71428571429
+MOP4 ru Начиная с сентябрьского номера в журнале публиковались материалы из итальянской версии молодёжного издания Max ( в рамках кобрендингового соглашения с лицензиаром ) . 20 4, 3, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4 3.75
+MOP4 ru В записи участвовали Николай Арутюнов , барабанщик Алексей Котов и Михаил Савкин ( все остальные инструменты ) . 14 4, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.75
+MOP4 ru Шуберта 1844 года , деревня называлась " Теглица " и также насчитывала 21 двор . 11 2, 3, 2, 1, 1, 3, 2, 1, 2, 2, 2, 2, 2, 2 1.92857142857
+MOP4 ru Дворец с двумя павильонами был построен в 1764—1766 годах в стиле классицизм с элементами барокко по проекту М . 18 4, 3, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.8125
+MOP4 ru Захваченная крепость в 1239 году была переименована в Балгу . 9 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.92307692308
+MOP4 ru Из четырёх колёс переднего моста ведущими являются только внутренние , имеющие ступицы . 11 4, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 3, 4 3.76923076923
+MOP4 ru Получил известность как один из исполнителей песни «По волне моей памяти» одноимённого диска композитора Давида Тухманова . 15 4, 4, 4, 2, 3, 3, 4, 4, 4, 4, 3, 4, 4 3.61538461538
+MOP4 ru Травматический тиреоидит ( " пальпируемый тиреоидит " ) развивается в результате травмы . 8 4, 2, 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4 3.69230769231
+MOP4 ru Медно-жёлтый фон означает большие залежи медной руды ( особенно в виде халькопирита , который жёлтого цвета ) . 14 4, 4, 2, 4, 3, 3, 3, 4, 4, 4, 4, 4 3.58333333333
+MOP4 ru В настоящее время является главным тренером английского клуба «Моркам» , выступающего во Второй Футбольной лиге . 13 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.90909090909
+MOP4 ru После расширения улицы в начале 2000-х годов по яру был запущен троллейбусный маршрут № 40 , и на его правой стороне сооружена горно-лыжная трасса «Протасов яр» с подъёмником . 25 4, 4, 4, 3, 4, 4, 3, 4, 4, 2, 4, 4, 4, 3 3.64285714286
+MOP4 ru В последующие несколько десятилетий храм претерпел ряд перестроек . 8 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4 3.90909090909
+MOP4 ru От овец сокольской породы получают 55-60 % серых и 40-45 % черных смушек со структурой покрытия преимущественно «боб» , «валёк» и «кольцо» . 16 3, 4, 4, 2, 3, 2, 3, 4, 3, 4, 4, 2, 4, 3 3.21428571429
+MOP4 ru В этом случае до четырёх инструкций могло находиться в обработке единовременно , позволяя процессору выглядеть в четыре раза быстрее . 18 2, 4, 3, 3, 3, 3, 1, 3, 3, 2, 4 2.81818181818
+MOP4 ru Таким образом , оказывая сопротивление силам выпучивания почвы , избегая проседания и перекоса здания . 12 3, 3, 3, 2, 3, 2, 3, 3, 2, 2, 3, 2 2.58333333333
+MOP4 ru Движущей силой и основателем раннего движения святых последних дней были Джозеф Смит-младший и , в меньшей степени , в течение первых двух лет — Оливер Каудери . 23 4, 4, 3, 2, 4, 3, 3, 3, 3, 4, 3, 4, 4, 4, 2 3.33333333333
+MOP4 ru теорему Такенса ) : Здесь formula_8 — временной ряд , formula_9 — размерность вложения , а formula_10 — временная задержка . 13 1, 4, 3, 1, 3, 1, 2, 2, 3, 1, 3, 3, 2 2.23076923077
+MOP4 ru В 1991 году польский радиоастроном Александр Вольщан , изучая открытый им в 1990 году в обсерватории Аресибо пульсар PSR 1257+12 , заметил периодическое изменение частоты прихода импульсов . 25 4, 3, 4, 4, 2, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.71428571429
+MOP4 ru Его останки были перевезены в Петербург , где Дибич был похоронен на Волковском лютеранском кладбище . 14 4, 2, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4 3.8125
+MOP4 ru Перед началом сезона 2010 года Альберт Никольский перешёл в «Гулбене» , с которым занял 1-е место в Первой лиге Латвии и вышел в Высшую лигу . 23 4, 4, 4, 2, 4, 4, 3, 4, 4, 4, 4 3.72727272727
+MOP4 ru ) , к которой скептически относились многие современники , оказалась весьма плодотворной . 9 4, 4, 3, 2, 3, 4, 3, 3, 3, 3, 4, 2, 2 3.07692307692
+MOP4 ru В районе Летней Поперечной до сих пор сохранились два больших вулканических цирка , которые , по всей видимости , являются останками кратера единого , большого вулкана . 22 4, 4, 3, 4, 3, 3, 3, 4, 2, 4, 4, 4 3.5
+MOP4 ru Для ремонта подвижного состава железной дороги к 1868 году были созданы ремонтные мастерские . 13 4, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 4 3.84615384615
+MOP4 ru 9 августа князь Прозоровский умер , и начальство над армией перешло к Багратиону . 12 4, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.85714285714
+MOP4 ru Дальнейшая задача состоит в том , чтобы руду переработать — отделить полезные минералы от пустой породы и получить химические концентраты урана . 19 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4 3.85714285714
+MOP4 ru 9 мая 2005 года Konami подала судебный иск о нарушении авторских прав против компании Roxor Games , занимающейся производством серии музыкальных игр In the Groove . 24 4, 4, 4, 4, 2, 4, 4, 4, 4, 3, 4, 4, 4 3.76923076923
+MOP4 ru Устье реки находится в 216 км по левому берегу реки Туй . 11 4, 3, 3, 3, 4, 3, 4, 4, 4, 4, 4, 4 3.66666666667
+MOP4 ru Сцены с ирбисом присутствуют в ряде документальных фильмов компании BBC : «Планета Земля» , «Величайшие явления природы» . 13 4, 3, 4, 4, 3, 3, 4, 2, 4, 4, 4, 3, 4, 4 3.57142857143
+MOP4 ru " 1 матч Суперкубка Англии в этой таблице не учтен . 9 4, 4, 3, 4, 3, 4, 4, 3, 4, 4, 4 3.72727272727
+MOP4 ru Когда башкирка идёт за водой , месяц берёт девушку-красавицу к себе в жены , и с тех пор она стоит там с коромыслом и ведрами . 23 4, 3, 4, 4, 2, 3, 4, 4, 4, 4, 3, 2, 4, 4, 2 3.4
+MOP4 ru С 2007 года группа входила в состав лейбла «Phlatline» ( российское представительство крупного немецкого лейбла ) . 13 4, 4, 4, 4, 4, 3, 4, 4, 2, 4, 4, 4 3.75
+MOP4 ru Исход сражения , учитывая абсолютное превосходство итальянцев по боевой мощи , был практически предопределён заранее . 13 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.90909090909
+MOP4 ru В 1784 году полностью разорвал отношения с женой . 8 4, 4, 3, 3, 4, 4, 4, 2, 4, 4, 4, 4 3.66666666667
+MOP4 ru В 2001 году немецкие строители доказали , что они не только в состоянии строить суда , но и буровые платформы . 18 4, 3, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4 3.84615384615
+MOP4 ru В отличие от США , в Великобритании альбом вышел на одном диске ( по десять песен на каждой стороне ) . 17 4, 2, 4, 3, 4, 4, 4, 4, 4, 4 3.7
+MOP4 ru В конце декабря 1942 года Стрепухов заболел и был направлен на лечение , командиром дивизии 1 января 1943 года был назначен полковник В . 22 4, 3, 3, 4, 3, 4, 3, 2, 4, 4, 4, 4, 4, 4 3.57142857143
+MOP4 ru Специальные системы обеспечивают надежный отвод тепла от реакторов даже при полной потере станцией электроснабжения с учетом возможных отказов оборудования . 19 4, 4, 4, 4, 4, 2, 4, 4, 3, 4, 4 3.72727272727
+MOP4 ru В августе — сентябре 1941 года войска фронта остановили врага , предпринимавшего попытки завладения Заполярьем , и вынудили его перейти к обороне . 19 3, 3, 4, 3, 3, 4, 3, 4, 4, 4, 3, 4, 3 3.46153846154
+MOP4 zh Фоторамки и ребенок поза украшения , несомненно, напоминают хранится в Лувре " Maesta " Чимабуэ . 12 2, 2, 3, 1, 1, 1, 1, 4, 1, 2, 1 1.72727272727
+MOP4 zh После демобилизации он вернулся к изучению , в 1949 году , окончил спортивный студии профессора 13 1, 3, 1, 1, 2, 1, 2, 3, 2, 2, 3, 3, 2 2.0
+MOP4 zh Историки и социологи отмечают, что распространенность науки " несколько независимых открытие. " 10 2, 2, 2, 4, 3, 2, 2, 2, 1, 3 2.3
+MOP4 zh Валентин очень сильно привержены своей исследовательской могиле , где в 1973 году , он был две пещеры , которые содержат открывает уникальный рок . 20 1, 2, 4, 1, 3, 1, 2, 4, 1, 1, 1, 1, 1, 2 1.78571428571
+MOP4 zh Верховный Совет Украинской Советской Социалистической Республики ( ) - высшим органом государственной власти и единственным законодательным органом Украинской Советской Социалистической Республики . 18 2, 3, 4, 3, 3, 4, 3, 3, 4, 2 3.1
+MOP4 zh Послы , посланные эрцгерцога Указом 344 Востоке в апреле достигла Антиохию . 10 2, 3, 2, 2, 3, 2, 1, 1, 3, 2, 2, 3, 2, 3 2.21428571429
+MOP4 zh Белая армия против большевиков в рамках борьбы , в общей сложности 1196 Корпус 446 выпускников приняли участие в совещании . 18 2, 2, 1, 1, 2, 1, 3, 1, 2, 2, 2 1.72727272727
+MOP4 zh Год спустя , команда напомнить себе , чтобы написать второй студийный альбом , моя дорогая , я самодельные . 14 2, 1, 2, 2, 2, 2, 1, 2, 3, 1, 3 1.90909090909
+MOP4 zh Он был инженером , и с начала Второй мировой войны, он присоединился к армии Соединенных Штатов , и участвовал в итальянской кампании . 20 4, 4, 4, 3, 4, 3, 1, 4, 3, 4, 4 3.45454545455
+MOP4 zh Соглашение предусматривает разделение нефтяных доходов , а также дальнейшей интеграции восточной части Tri-State ( Красное море , Кассалы и Гедареф ) к административной единицы . 20 3, 3, 3, 3, 3, 2, 3, 2, 3, 3, 2, 3, 3 2.76923076923
+MOP4 zh Подавление субстрат , - когда две молекулы связываются с субстратом фермента , тем самым предотвращая образование продуктов специального случая матче подавленной . 18 2, 3, 3, 1, 2, 1, 1, 3, 1, 3, 2, 3, 4 2.23076923077
+MOP4 zh Отображается после самого клипа Смоки Робинсон , рассказал эту версию песни . 10 2, 1, 4, 1, 4, 3, 2, 1, 1, 2, 2, 1 2.0
+MOP4 zh В 1938 году он стал секретарем в Триесте DUV Генерального секретаря с августа 1940 года по ноябрь 1941 DUV . 19 2, 2, 2, 3, 3, 1, 2, 3, 2, 3, 3, 2, 3, 3 2.42857142857
+MOP4 zh Со временем , союзники были готовы согласиться пожертвовать корабль снабжения , а не деньги . 12 3, 4, 2, 3, 3, 3, 3, 1, 3, 3, 4, 4, 4 3.07692307692
+MOP4 zh Чемпион мира Маркус О'Салливан начал с победы - Кэмпбелл с 10 очками : 4 . 12 3, 3, 2, 3, 4, 1, 2, 3, 3, 3, 3, 3, 3, 2 2.71428571429
+MOP4 zh Квантунская армия также имеет биологическое оружие для использования против советских войск в подготовке (см . 13 3, 3, 3, 3, 3, 3, 3, 4, 3, 4, 3 3.18181818182
+MOP4 zh 1822 , продажи недвижимости в горнодобывающей Клайв Шерил Лу Бирма Нарышкин , который в соответствии с . 14 2, 2, 1, 1, 3, 1, 1, 2, 3, 1, 2, 1, 2 1.69230769231
+MOP4 zh Июня 2003 года третий бой между Гатти и Уорд . 9 2, 2, 3, 3, 3, 2, 3, 3, 3, 2, 4, 4 2.83333333333
+MOP4 zh Согласно Сефевидов династии империи произвел огромное завод ковровое покрытие . 9 2, 4, 1, 3, 1, 1, 1, 3, 1, 4, 1, 2, 1, 1, 1 1.8
+MOP4 zh Toyota Mark II использует имя в течение многих десятилетий , первоначально использовался в качестве имени частиToyota Corona Mark II . 18 2, 3, 2, 4, 3, 2, 3, 1, 2, 2, 3, 4 2.58333333333
+MOP4 zh Расположены попарно - Телефон медной паре ( линии ) от УАТС в СМТ , развелись два номера ( " рука " ) , чтобы пойти . 16 1, 4, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 2, 1 1.42857142857
+MOP4 zh Первая проблема заключается в том, что средняя школа № 64 в 1967 году . 12 2, 2, 3, 4, 1, 3, 2, 3, 2, 2, 1, 2, 2, 2, 1 2.13333333333
+MOP4 zh После аварии , Джек Бун помог обеспечить выживших первой помощи . 9 2, 4, 2, 3, 3, 2, 2, 2, 4, 2, 3, 3, 3, 1 2.57142857143
+MOP4 zh Будьте первым и был в состоянии арестовать преступников по радио . 10 2, 2, 1, 1, 3, 2, 1, 3, 1, 1, 1, 4 1.83333333333
+MOP4 zh Предлагаемый для обсуждения алфавит вариант « Inalif » отвечает следующим требованиям : « Inalif » в качестве оператора для облегчения общего апостроф " (например , заметки , " золь " " ) . 19 2, 2, 3, 1, 2, 1, 1, 1, 2, 3, 3, 1, 2 1.84615384615
+MOP4 zh Правительство было миллион драхм , большинство из которых пошли в последние несколько отверстий бюджета . 13 2, 4, 1, 2, 1, 1, 3, 2, 1, 1, 1, 3 1.83333333333
+MOP4 zh В река прорезает хребта Кускоквима вниз с видом на огромный аллювиальную равнину , расположенную в южной рот Юкон . 17 2, 4, 1, 2, 3, 1, 1, 1, 3, 2, 2, 2 2.0
+MOP4 zh ç 1600年4 18 - брат Троицы , членом , а позже стал одним из материка сделать ( миссию в определенной области , ответственные лица) . 19 1, 3, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.30769230769
+MOP4 zh Первый высокой четкости России трансляцию 27 апреля 2007 . 8 2, 3, 1, 3, 2, 1, 2, 2, 1, 2 1.9
+MOP4 zh Яковлев представил вРоссии государственный проиграл 1 июля 1912 команда в стране в первом 0:16 России разгромил немецких первая Олимпиада , в игре . 21 1, 2, 1, 2, 1, 1, 1, 1, 1, 4, 1, 2, 1 1.46153846154
+MOP4 zh С тех пор по-прежнему в кино , драмы , сериалы и викторины шоу, таких как "Вечерний Киев " , " Рюрик " , " Naspravdі Показать ", " Бой ", " ключ Club " , " матриархат " . 21 2, 3, 2, 2, 2, 2, 2, 1, 1, 3, 2, 2, 3, 3, 2 2.13333333333
+MOP4 zh Krioapplikatory большой площади для уничтожения биологических тканей , так как они находятся в контакте с поверхностью объекта должны быть заморожены , и имеет относительно большой размер . 24 1, 3, 2, 1, 2, 1, 2, 3, 3, 1, 1, 3, 2, 3 2.0
+MOP4 zh Еще один крупный проект является работник Minilisa дом , ЗИЛ Велозаводская улица ( 1936-1937 ) . 12 2, 4, 1, 2, 2, 3, 2, 3, 3, 1, 1, 2, 4, 2, 2 2.26666666667
+MOP4 zh 1927-1931 - был открыт в Tavolzhanskiy мощным слоем соляных озер , и ввел в экономику . 13 2, 2, 1, 1, 1, 4, 2, 1, 1, 2 1.7
+MOP4 zh Рано утром , он создал свой собственный народ можете заказать на поле боя , изменить его . 14 1, 3, 1, 1, 1, 1, 3, 3, 1, 3, 1, 1, 1, 1, 3, 2 1.6875
+MOP4 zh Певец выиграл эту песню в Венгрии « Szerelem , Мирт múlsz в первую очередь ? 12 2, 2, 1, 1, 3, 2, 1, 2, 3, 1, 2, 2, 1 1.76923076923
+MOP4 zh Где M1 филиал - - Route 10 истарая часть M0 находится в 18 км , запланировано на будущее , точная дата пока не объявлена . 20 2, 3, 1, 2, 1, 1, 3, 2, 2, 1, 1, 2 1.75
+MOP4 zh По словам российского Федеральной службы государственной статистики , число 2010 трамвае составляет 30 юаней 100000000 . 14 2, 2, 1, 1, 1, 2, 1, 2, 2, 2, 4, 1 1.75
+MOP4 zh Сосновка , Кировская область ) , чтобы построить три серии , здесь баргузин -1 , 2 - Баргузин Баргузин - 3 . 13 2, 2, 1, 1, 2, 1, 3, 1, 2, 1, 1, 1 1.5
+MOP4 zh Известный в основном акварельные пейзажи авторов - в 1870 . 8 2, 2, 1, 2, 1, 2, 2, 2, 2, 1, 2, 3, 2 1.84615384615
+MOP4 zh Исполняющим обязанности главного тренера - Зоран Zekić , который возглавлял клуб в августе 2014 после Вячеслав Руснак уволен . 16 2, 3, 2, 2, 2, 3, 1, 2, 1, 2, 3, 2 2.08333333333
+MOP4 zh U- 173 - Большой Морской Немецкий подводная лодка IX- C , после Второй мировой войны . 13 2, 3, 1, 2, 2, 4, 1, 2, 1, 2, 2, 1, 2, 1 1.85714285714
+MOP4 zh , 1828 ) , в дополнение к истории и географии статье содержится много литературы, истории и лингвистики . 14 4, 2, 3, 3, 1, 3, 2, 1, 2, 2, 1, 3, 4, 2 2.35714285714
+MOP4 zh Инцидент в аэропорту Днепр Днепропетровск , где она присутствовала до судья умер 9 июля 2010 от застойной сердечной недостаточности . 18 2, 4, 2, 3, 2, 2, 2, 2, 1, 2, 3 2.27272727273
+MOP4 zh 2003 , злой гений решил переехать в супертяжелом Штеффен . 8 2, 2, 2, 1, 2, 1, 1, 1, 3, 1, 2, 2, 1 1.61538461538
+MOP4 zh Могила, который находится в коридоре в конце 160 метров , и первоначально использовался как четыре гробов . 15 2, 2, 1, 2, 1, 1, 2, 1, 3, 1, 1, 1, 2 1.53846153846
+MOP4 zh В осаде , их число увеличилось до 200 тысяч монгольского войска . 10 3, 3, 2, 4, 2, 3, 2, 3, 3, 3, 3, 2 2.75
+MOP4 zh Очевидно, что это глина , кто принимал участие в Войне Древних , слушать части требований мага США . 15 2, 1, 1, 3, 2, 1, 1, 1, 4, 1, 3, 1, 2, 1 1.71428571429
+MOP4 zh В 1940 году он поступил в Высшую школу экономики и бизнес-исследований (ныне Афинского университета экономики и торговли ) . 16 4, 3, 3, 4, 4, 4, 3, 3, 4, 3, 4, 4, 3, 4 3.57142857143
+MOP4 zh Во втором и третьем , и алые , шесть серебряных звезд легких полевых . 11 2, 3, 1, 4, 1, 1, 1, 1, 1, 1, 2 1.63636363636
+MOP4 zh ,Группа записала альбом обратно , сингл " Wild Night " стал голос недель британский версия популярной версией песни . 14 1, 3, 1, 1, 1, 3, 2, 2, 1, 1, 2, 2, 1 1.61538461538
+MOP4 zh Объявлено об окончании своей спортивной карьеры , в конце сезона 2005-2006 . 10 3, 4, 3, 4, 4, 2, 2, 3, 3, 3, 2, 2, 3, 2 2.85714285714
+MOP4 zh Фридрих Ратцель (1844-1904) в использовании термина в их научной работе , " политической географии " (1897) и "жизненного пространства " (1901 ) . 13 3, 3, 1, 1, 3, 2, 3, 2, 2, 1, 2, 3, 2 2.15384615385
+MOP4 zh По Коммуны Венеции , правил, принятых в 1991 году , Венеция является столицей Италии . 12 2, 2, 2, 1, 3, 2, 2, 1, 2, 2, 3, 2, 2 2.0
+MOP4 zh Mural , " Сен-Симон заказы штока получил Ткань образок Девы Марии и младенца " считается одним из шедевров Тьеполо . 16 2, 3, 1, 1, 1, 2, 1, 3, 1, 1, 1, 2, 1, 1 1.5
+MOP4 zh Черт - в Россиирека, впадающая в регионе Ржев Тверской , в площадных источников Старица . 12 2, 1, 2, 1, 2, 1, 4, 3, 2, 1, 1 1.81818181818
+MOP4 zh С сентября 1934 года он работал в Академии наук СССР , является секретарь Института экономических исследований . 15 3, 4, 3, 3, 4, 3, 3, 3, 3, 3, 3, 2, 3, 2 3.0
+MOP4 zh С июля компания запустила аналогичный сотрудничество с немецкой разведки ОУН и ряда других украинских организаций в изгнании », страданий Украины в Советском Союзе » . 22 2, 3, 1, 1, 1, 2, 1, 2, 2, 3, 3 1.90909090909
+MOP4 zh NGC 1857 ( другое название - Австралазия 428 ) - открытые скопления в созвездии Возничего . 11 3, 4, 3, 2, 4, 3, 4, 3, 4, 3, 2, 3, 4, 3, 4 3.26666666667
+MOP4 zh Олсен (2010 ) были разделены на две подгруппы: Cynognathia и Probainognathia . 9 2, 4, 3, 2, 3, 3, 3, 1, 4, 2, 3 2.72727272727
+MOP4 zh Один из его сыновей , Philotas , направляющих тяжелую кавалерию ( getayrami ), и еще один сын, Никанора , пехотный полк - hypaspists . 17 1, 2, 2, 3, 3, 2, 1, 2, 3, 1, 2, 2 2.0
+MOP4 zh Июль- сентябрь 1921 членов ВК Помгол (All- Русский комитет помощи голодающим ) . 10 2, 2, 1, 1, 3, 3, 2, 2, 2, 1, 1, 3, 2 1.92307692308
+MOP4 zh В это время , был убит Гольцев командиров и башенный стрелок . 10 2, 2, 1, 4, 3, 1, 2, 1, 3, 2, 4, 3, 2, 3 2.35714285714
+MOP4 zh Февраль 1941 , он был включен в Красную Армию . 8 3, 2, 2, 4, 2, 3, 2, 3, 4, 2, 2, 2, 2 2.53846153846
+MOP4 zh Если вы едите слишком много рыбы может начать различные заболевания , в том числе ожирения . 14 2, 3, 4, 3, 3, 3, 2, 2, 1, 3, 3, 3 2.66666666667
+MOP4 zh , Из крупнейших молодежных версия Итальянская версия (на основе ко-брендингового соглашения с разрешения ) , начиная с сентября -релизе материала журнала . 16 1, 2, 1, 1, 3, 1, 1, 2, 1, 2, 1, 1, 2, 4, 1 1.6
+MOP4 zh В 1996 году он снял " за кулисами" белорусской оппозиции к внешней политической и финансовой власти отношений . 16 2, 2, 1, 2, 2, 2, 1, 1, 2, 1, 1, 2, 2 1.61538461538
+MOP4 zh Запись участие Николай Арутюнов , барабанщик Алекс Котов и Михаил Савкин ( все остальные инструменты) . 13 2, 3, 2, 4, 2, 2, 2, 2, 2, 1, 2, 2, 3 2.23076923077
+MOP4 zh Валентин Носов (1924 2009 - 12 9 февраля) - из Тернер karuselschik турбоустановки в Ленинградском металлическом заводе 19число . 15 1, 4, 1, 1, 1, 1, 2, 2, 1, 2, 1 1.54545454545
+MOP4 zh Научные планы экспедиции включают астрофизику , материаловедение, биология, медицина и технологии эксперименты . 11 4, 2, 2, 2, 4, 2, 3, 3, 2, 3, 3, 2, 3 2.69230769231
+MOP4 zh Дворец два павильона , построенные в 1764-1766 десятилетие классическом стиле с элементами барокко Проект М 14 2, 2, 1, 3, 1, 2, 2, 1, 2, 2, 1 1.72727272727
+MOP4 zh Четыре колеса , передняя ось является единственным ведущим внутри ступицы . 9 3, 2, 2, 4, 3, 3, 2, 4, 3, 3, 3 2.90909090909
+MOP4 zh Медь желтый фон дисплея крупных месторождений медной руды (особенно в виде халькопирита , что желтый цвет ) . 14 2, 3, 1, 2, 1, 1, 1, 1, 1, 3, 2, 2, 1 1.61538461538
+MOP4 zh Теперь школа имеет современную учебную базу , хорошие жилищно-бытовых условий , два спортзала комплекс тренажера , телецентра , уникальные коллекции библиотеки . 17 4, 3, 2, 1, 4, 3, 2, 3, 3, 3, 3, 3, 4 2.92307692308
+MOP4 zh После этого , улицы в начале 2000-х годов по инициативе расширения овраг Троллейбус № 40 , и в правой руке построен лыжного холма " Протасов Яр " , оснащенного лифтом . 24 2, 1, 2, 4, 1, 1, 1, 1, 3, 1, 1, 2 1.66666666667
+MOP4 zh В течение следующих нескольких десятилетий , храм претерпел несколько реконструкцию . 9 3, 3, 3, 3, 3, 4, 3, 3, 2, 1, 2, 3, 2, 4, 3 2.8
+MOP4 zh Сокол получить 55-60 % и 40-45 % от пород овец , серых и черных каракульских и структуры покрытия в основном " боб " , " valёk " и " Кольцо " . 21 2, 1, 1, 3, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2 1.42857142857
+MOP4 zh В этом случае , до четырех команд может быть обработан в то же время , позволяя процессор выглядит в четыре раза быстрее . 20 2, 3, 1, 3, 3, 3, 2, 1, 1, 2, 2, 3, 2 2.15384615385
+MOP4 zh Водораздел -огороженная территория реки Терек , между Доном и Волге . 8 2, 4, 2, 2, 4, 2, 3, 4, 2, 3, 3, 1, 3, 3 2.71428571429
+MOP4 zh Поэтому прочность почвы против выпучивания избежать прогиба и деформации здания . 10 2, 4, 1, 1, 1, 2, 2, 3, 2, 1, 1, 2, 3, 3 2.0
+MOP4 zh 1863 , Вт сделал памятник информацию об изображении и до 9 1, 4, 1, 3, 1, 1, 1, 1, 1, 1, 1 1.45454545455
+MOP4 zh После несколько песен появился в фильме 200 мотелей . 8 1, 3, 1, 1, 2, 2, 3, 3, 2, 2, 3, 3, 3 2.23076923077
+MOP4 zh 1991, польский астроном радио исследований Александр Volschan , он обнаружил, что в 1990 году ,обсерватория Аресибо в пульсара PSR 1257 +12 , обнаружили, что изменения периодически пульсировать частоту . 24 2, 2, 2, 1, 1, 1, 1, 1, 2, 4, 2, 2, 1 1.69230769231
+MOP4 zh Его останки были перенесены в Санкт-Петербург , где он был похоронен в Дибич Волков лютеранском кладбище . 15 1, 2, 3, 2, 4, 2, 3, 2, 3, 3, 4, 4, 3 2.76923076923
+MOP4 zh Перед началом сезона 2010 года , Альберт Николас Кортни переехала " Гулбене отель ", который занял первое место в латвийской лиги , пришел в высшую лигу . 22 2, 2, 1, 4, 2, 2, 1, 2, 2, 3, 3, 2 2.16666666667
+MOP4 zh ) , Многие люди скептически относятся к его современников, оказался плодотворным . 9 2, 4, 1, 1, 2, 1, 2, 1, 4, 2, 2 2.0
+MOP4 zh Почти полная потеря драгоценного богатства научного пожар Москвы 1812 года музей . 11 2, 2, 1, 4, 2, 1, 2, 1, 4, 2, 2, 2, 1 2.0
+MOP4 zh Лето в боковой области сохраняет две крупный вулканический цирк, который по-видимому представляет собой один большой вулканический кратер остается . 18 2, 3, 1, 1, 3, 1, 1, 1, 1, 1, 2, 2, 1 1.53846153846
+MOP4 zh 9 августа князь Прозоровский умер , командование армии прошел Багратиону . 9 2, 3, 3, 2, 2, 2, 3, 4, 2, 2, 4, 2, 2 2.53846153846
+MOP4 zh Еще одна проблема в том, что лечение руды - отделить полученный из пустой породы и химического концентрата урана . 17 2, 3, 1, 3, 2, 1, 3, 2, 3, 2, 2, 1, 2, 3, 2 2.13333333333
+MOP4 zh В отличие от других ирландских провинций команде " Connacht " спортсменов имеют относительно небольшую базу для команды, чтобы позвонить . 17 2, 3, 1, 3, 1, 1, 2, 1, 1, 2 1.7
+MOP4 zh С начала Второй мировой войны , семьи в Сиднее, и его отец, Эдвин лампы накаливания , изготовленные на заводе , чтобы найти работу поселились . 21 1, 3, 1, 1, 2, 1, 3, 1, 1, 1, 1 1.45454545455
+MOP4 zh Когда Башкирский к воде , принимать в течение месяца , красивая жена девушки , и с тех пор , она стояла с кронштейнами и ведра . 21 1, 3, 3, 1, 3, 1, 1, 3, 1, 1, 1, 1, 1, 3 1.71428571429
+MOP4 zh По данным Национального реестра России относится к разделу воды в бассейне реки области управления водными ресурсами в Балтийском море - река Шелонь реки суббассейновом - Волхов . 24 2, 2, 2, 2, 1, 2, 1, 3, 1, 2, 2, 2 1.83333333333
+MOP4 zh С 2007 года группа является этикетка « Phlatline » ( большая немецкий лейбл России представительство ) часть . 13 2, 2, 1, 3, 1, 1, 1, 1, 1, 1, 2, 3 1.58333333333
+MOP4 zh Исход битвы , учитывая подавляющее доминирование Италии , в боевой мощи почти обречены заранее . 12 3, 4, 2, 2, 1, 3, 4, 1, 1, 3, 1, 3 2.33333333333
+MOP4 zh В конце декабря 1942 Strepuhov дискомфорта и был отправлен на лечение , командир 1 января 1943 года он был назначен полковник . 20 1, 3, 1, 1, 2, 1, 2, 2, 3, 2, 2, 2 1.83333333333
+MOP4 zh Специальные системы для надежного отвода тепла от реактора , даже с учетом отказа оборудования электростанций может быть полностью утрачена . 18 2, 4, 2, 2, 2, 2, 3, 2, 2, 3, 3, 2, 2 2.38461538462
+MOP4 zh Он сделал некоторый тип класса фильмов , в том числе " пришельцев из Планеты X " ( 1951 ) " , " Доктор Джекилл дочь " (1957 ) и " Атлантис " ( 1961 ) . 20 2, 4, 2, 1, 3, 3, 3, 1, 3, 2 2.4
+MOP4 zh В августе-сентябре 1941 года войска фронтовые остановить врага , пытаясь захватить Северный полярный круг, и заставили его защищать . 17 2, 3, 2, 3, 2, 2, 3, 2, 1, 2, 2, 2, 2 2.15384615385
+MOP4 ja Вспомните, пожалуйста, хранится оформление Детская рамка изображения и жестов , Лувр " Maesta " Чимабуэ определенно . 13 2, 3, 1, 1, 1, 1, 2, 1, 3, 1, 1 1.54545454545
+MOP4 ja Существуетсумма по formula_5 что все перестановки индекса в круглых скобках : операции симметризации . 12 3, 2, 1, 3, 1, 3, 2, 1, 2, 1, 1, 2, 1 1.76923076923
+MOP4 ja Существует легенда , что дает « История Abbott Пьера де Марко ( 17 век) Bearn » . 12 2, 3, 1, 1, 1, 3, 2, 2, 1, 1, 3, 2, 2 1.84615384615
+MOP4 ja Он отправляется на восток , посол , достигло Антиохию в апреле 344 года от постановления Совета . 14 2, 3, 1, 1, 1, 2, 1, 3, 1, 1, 2 1.63636363636
+MOP4 ja Она была номинирована на " Золотую пальмовую ветвь " на Каннском кинофестивале Фильм также . 12 3, 4, 3, 3, 2, 3, 2, 2, 2, 3, 3, 3, 3 2.76923076923
+MOP4 ja Почта находится в Milyushino , предлагает деревню 66 домов Большой Погорелово . 10 2, 3, 1, 4, 3, 1, 2, 2, 4, 1, 2, 1, 1, 2, 1 2.0
+MOP4 ja Почетное звание Советского Союза - честь тренер советских шахмат . 8 2, 1, 1, 4, 3, 1, 3, 1, 3, 2, 2, 1, 3, 1 2.0
+MOP4 ja Через год , я домашняя команда , но писать студийный альбом ,мед из второго , напомнил себе . 13 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.5
+MOP4 ja Контракты готовятся к дальнейшей интеграции ( Gedaref Красного моря , и Kassara ) утверждает, три восточные административные единицы , а также один из подразделения , нефтяных доходов . 22 1, 3, 1, 1, 2, 1, 1, 1, 2, 4, 1, 1, 2 1.61538461538
+MOP4 ja После показа она сама Смоки Робинсон , клип рассказал эту версию песни . 11 1, 4, 1, 1, 1, 2, 1, 3, 1, 1, 2, 3, 1 1.69230769231
+MOP4 ja В ноябре Генерального секретаря DUV 1941 года с августа 1940 года, он стал секретарем в Триесте , DUV в 1938 . 19 1, 1, 1, 1, 3, 1, 3, 3, 2, 1, 4, 1, 1 1.76923076923
+MOP4 ja Турнир прошел при поддержке на Skate Canada ISU . 8 3, 2, 3, 3, 4, 2, 2, 3, 2, 3, 3, 2 2.66666666667
+MOP4 ja Первый выпуск из числа 64 средней школы , был в 1967 году . 11 3, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4 2.61538461538
+MOP4 ja После аварии , Джек Бун , предоставил первую помощь пострадавшим . 8 3, 4, 3, 3, 4, 4, 3, 3, 2, 3, 3, 3, 4 3.23076923077
+MOP4 ja Стал преступник стал первым доступным на арест радио . 8 1, 3, 1, 1, 1, 1, 1, 3, 1, 1, 1, 2, 1 1.38461538462
+MOP4 ja С 2011 года -тренер по физической подготовке ФК " Атырау " . 8 4, 3, 4, 3, 1, 4, 3, 4, 4, 4, 4, 3, 1 3.23076923077
+MOP4 ja Апостроф традиционный ' ( например , обратите внимание на " золь " ' ) « Inalif » , оператор , используется для уменьшения : предложил , что алфавит « Inalif » , чтобы обсудить выбор из следующих требований: . 22 3, 1, 1, 1, 4, 2, 2, 2, 1, 1, 2, 1, 3 1.84615384615
+MOP4 ja При установке компенсации каменный , компенсация рок следующий , это свободный деталь находится на территории черный . 14 2, 4, 1, 1, 1, 3, 1, 1, 1, 2, 1, 1 1.58333333333
+MOP4 ja В 1911 году он стал кавалером Большого креста ордена королевы Виктории в Дели Дурбар . 14 4, 3, 4, 2, 4, 4, 3, 4, 3, 4, 4, 3, 3, 4 3.5
+MOP4 ja Петренко на форварда московского " Динамо" Москва Назад , клуб помог принять многонациональный Кубок хоккейной лиги в 1996 году . 17 1, 2, 1, 1, 2, 2, 3, 2, 1, 2, 3 1.81818181818
+MOP4 ja 30 декабря ) 1977 года Хабаровск - российских спортсменов , спортсменов мирового класса . 10 2, 3, 2, 2, 2, 2, 2, 3, 2, 2, 2 2.18181818182
+MOP4 ja В настоящее время заменен новым вокалистом Лена , - " . Энни Морозова , который работал в студии детей Antareks " прежде, 16 1, 3, 2, 4, 1, 3, 1, 2, 1, 1, 4, 3, 2, 2 2.14285714286
+MOP4 ja Это был основателем Уиклифа переводчиков Библии и SIL . 8 1, 4, 1, 3, 1, 1, 2, 1, 1, 1, 2, 4, 2 1.84615384615
+MOP4 ja С тех пор , фильм, комедия ,викторины и мелодрама , и показывает такую "Вечерний Киев " , " Рюрик " , " Naspravdі Показать " , "Бойцовский клуб" , "ключ" , как " матриархата " всегда . 18 1, 3, 1, 1, 2, 3, 1, 2, 1, 1, 2, 1, 1 1.53846153846
+MOP4 ja Они были заморожены , так что контакт с поверхностью объекта, имеющего достаточно большой размер , Krioapplikatory предназначен , чтобы разрушить большую часть биологической ткани . 21 2, 3, 2, 2, 2, 2, 3, 2, 1, 2, 2 2.09090909091
+MOP4 ja В четыре года начала подготовку Баодин института спорта 10 -летний , и стал ходить в Баодин спортивного детского сада . 17 2, 1, 1, 4, 1, 1, 2, 1, 2, 1, 2, 1, 1 1.53846153846
+MOP4 ja 1927-1931 будет - была введена их открытии и обусловлен высоким соль слоя Tavolzhanskiy озера во время закрытия экономики . 17 2, 3, 1, 4, 3, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1 1.6
+MOP4 ja Окончил ходе второго пушечного Петрограде в 1920 году . 8 2, 1, 1, 2, 1, 3, 1, 1, 1, 1, 2, 2 1.5
+MOP4 ja Убедил Дик Роуэн компании « Decca записи » заключить договор , Соломон переехал в Лондон , чтобы те члены . 15 1, 3, 1, 1, 3, 1, 1, 1, 2, 1, 1, 2, 1 1.46153846154
+MOP4 ja Палм (Palm ) Воскресенье, 1955, Пий XII сделал важные изменения в жизни Vigil Пятидесятницы и Пасхи Триденствия . 15 3, 2, 2, 3, 1, 2, 2, 2, 1, 2, 3 2.09090909091
+MOP4 ja Финал сезона 3 , 9210000 зрители смотрели или более для записи видеорегистратора на исключением . 13 1, 1, 1, 4, 1, 1, 1, 1, 3, 1, 2, 2 1.58333333333
+MOP4 ja - Отрасль М1 - планируется для будущего 18 километров между старой части M0 и маршрут 10 , пока не доступна точная дата . 19 2, 3, 3, 2, 2, 2, 1, 2, 1, 1, 3, 2, 2 2.0
+MOP4 ja С одной стороны, в целях экономии поверхность монеты обращается на друга в центре изображения, снятого с обеих рук . 18 2, 1, 1, 1, 2, 1, 1, 4, 1, 2, 1, 1, 1, 3, 1 1.53333333333
+MOP4 ja Я привел клуб в августе 2014 после увольнения Зоран Zekić , Вячеслав La закуски - и.о. главного тренера . 16 1, 1, 1, 1, 1, 1, 3, 3, 1, 1, 1 1.36363636364
+MOP4 ja Из подводных типа большой морской Германии после Второй мировой войны IX- С, - U- 173 . 14 2, 2, 3, 1, 2, 3, 2, 1, 1, 2, 2 1.90909090909
+MOP4 ja В 2003 году Стефан гений зла было решено перейти к тяжеловеса . 11 2, 4, 1, 2, 4, 2, 1, 1, 2, 1, 1, 1, 2 1.84615384615
+MOP4 ja Камера захоронения расположен в конце коридора 160 метров , я был использован в качестве 4 гроб первоначально . 16 1, 3, 1, 3, 3, 2, 1, 1, 1, 1, 1, 1, 2 1.61538461538
+MOP4 ja Во время осады , количество монгольской армии была увеличена до 20 000 . 11 3, 3, 3, 4, 2, 3, 2, 1, 4, 3, 3 2.81818181818
+MOP4 ja Очевидно, что это является частью глины слушал просьбе красоте мага , который участвовал в войне древних . 15 1, 4, 1, 2, 1, 1, 2, 3, 1, 1, 1, 1, 2 1.61538461538
+MOP4 ja Львов 6 марта был также Кастелло вниз Киев Стефан Чарнецкий прибытия и 6000 отделения . 14 1, 1, 1, 4, 1, 4, 2, 1, 1, 2, 1 1.72727272727
+MOP4 ja , Борьба запись возвращается альбомов , группа будет песня недели по версии британской версии популярного звук сингла " Wild Night " . 17 1, 2, 1, 1, 1, 4, 1, 2, 1, 1, 4, 1, 2, 1, 3 1.73333333333
+MOP4 ja 49,9 квадратных километров - 14 километров, его длина в районе водосбора , река впадает в озеро Виг . 15 3, 2, 3, 4, 2, 3, 3, 3, 2, 3, 2 2.72727272727
+MOP4 ja После раздела второго (1793 г.) Польши как части Российской империи . 9 2, 2, 2, 3, 2, 2, 3, 3, 3, 3, 2, 2 2.41666666667
+MOP4 ja Фридрих Ратцель является (1844-1904) , который будет использоваться " политическую географию » и (1897) " жизненное пространство " в ( 1901 ), чьи работы научных, вступили этот термин . 19 2, 2, 1, 3, 1, 1, 2, 1, 1, 1, 1, 1, 1 1.38461538462
+MOP4 ja В соответствии с законами и правилами коммуны Венеции , принятой в 1991 году , Венеция является столицей Италии . 16 4, 3, 3, 4, 4, 4, 3, 3, 2, 3, 4, 4 3.41666666667
+MOP4 ja Был , что Angry Birds отомстить им , и вернуть яйца обратно . 10 2, 1, 1, 4, 1, 1, 1, 1, 3, 1, 1, 1, 1, 2 1.5
+MOP4 ja Я считается одним из шедевров Тьеполо " Санкт- Симона запасе , получающих образок из ордена кармелитов малыша и Девы Марии " фрески . 19 1, 2, 1, 1, 1, 2, 1, 3, 1, 1, 1, 1 1.33333333333
+MOP4 ja Когда я присутствовал на съезде главы в каолин , наличие школы , был описан в 1130 она . 15 2, 2, 1, 1, 4, 3, 2, 2, 1, 1, 1, 1, 1 1.69230769231
+MOP4 ja Черт - река России , впадает в исходном Лумпур Джефф Тверской области , Старица области . 12 1, 4, 1, 2, 1, 2, 1, 2, 1, 1, 3, 2 1.75
+MOP4 ja С сентября 1934 года он был секретарем научного института экономических исследований , который работал в Академии наук СССР . 17 4, 4, 3, 3, 3, 3, 3, 3, 4, 3, 3, 4, 3, 4 3.35714285714
+MOP4 ja С июля , страдает . Украинцев в «советской компании , подобной развернуть совместно с изгнания организаций Украины и некоторых других с точки зрения интеллекта и ОУН Германии " 23 2, 3, 1, 3, 1, 3, 1, 1, 1, 1, 3, 1, 2, 1 1.71428571429
+MOP4 ja Члены 1930 Доярки кооператив Всесоюзной сельскохозяйственной выставки Ассоциации . 8 2, 2, 1, 1, 4, 1, 2, 2, 2, 1, 3, 1, 2 1.84615384615
+MOP4 ja Их задачей было не только воздух , чтобы обеспечить контроль над сырьевой питания военной группы . 14 2, 1, 4, 3, 4, 1, 2, 1, 1, 1, 2, 1, 2 1.92307692308
+MOP4 ja Probainognathia и Cynognathia : Олсен (2010 ) , делится на две подгруппы . 8 2, 3, 3, 2, 1, 3, 2, 2, 2, 2, 2, 2, 3 2.23076923077
+MOP4 ja hypaspists - один из сыновей его , Филота , тяжелая кавалерия и ( getayrami ) , он командовал еще один сын, Никанора , пехоту . 17 1, 3, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1 1.25
+MOP4 ja После игры , Tormenta , сказал, что это последняя игра в его карьере . 11 4, 2, 3, 2, 3, 3, 4, 3, 3, 3, 3, 3 3.0
+MOP4 ja По исследовательского проекта, который не зависит , водопад " ивы : миф или реальность ? 11 2, 1, 1, 1, 2, 2, 2, 1, 1, 1, 2, 1, 1 1.38461538462
+MOP4 ja У себя дома в передней части Симпсонов , двойное убийство совершено поздно вечером 12 июня 1994 года . 16 3, 3, 4, 2, 3, 1, 2, 4, 2, 2, 1, 3, 1, 1 2.28571428571
+MOP4 ja Подробности его жизни были спасены благодаря включены в текст автобиографического эссе основном . 12 2, 4, 2, 4, 2, 2, 1, 3, 2, 2, 2, 2, 2, 3 2.35714285714
+MOP4 ja дом DLL , содержит Trident компоновка двигателя , который отвечает за основан на DOM на экране , чтобы отобразить страницу администрирования веб-страницы . 19 1, 4, 1, 1, 2, 1, 2, 2, 1, 1, 1, 2, 2 1.61538461538
+MOP4 ja Рыба будет в состоянии начать в том числе ожирение, различных заболеваний и избыточного . 13 2, 4, 1, 4, 1, 2, 1, 1, 2, 1, 1, 1 1.75
+MOP4 ja Правый приток реки Псковской области России и Белоруссии , Витебская область, реки - Свольна . 12 3, 4, 3, 1, 2, 2, 2, 2, 1, 2, 3 2.27272727273
+MOP4 ja Вышел в свет материал из итальянской версии молодежной версии максимума (на основе ко-брендингового соглашения с лицензиаром ) , чтобы начать в сентябрьском выпуске журнала . 21 1, 3, 2, 1, 4, 2, 2, 2, 2, 1, 2, 2, 3 2.07692307692
+MOP4 ja ( Все другие инструменты ) Михаил САВКИН Алекс и вещи записи Николай Арутюнов , барабанщик участвовал . 13 1, 3, 1, 1, 3, 1, 1, 1, 1, 1, 2, 2 1.5
+MOP4 ja 19 Тернера karuselschik ГЭС число турбинный завод Ленинградский металлический завод - (9 декабря 2009 года с 1924 ) Валентин нет программного обеспечения . 19 2, 4, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 2, 1 1.5
+MOP4 ja Количество уровней YPF называется его высоту , максимальную ширину уровне - YPF широко . 11 1, 2, 1, 1, 1, 1, 1, 2, 4, 3, 2, 1, 2 1.69230769231
+MOP4 ja Веселый молодой человек начнет карьеру в качестве торгового представителя уважаемой компании и специализируется на продаже кофе и невероятно привлекательным Мик Трэвис называемой ( Малкольм Макдауэлл ) . 24 2, 4, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3 2.14285714286
+MOP4 ja Дворец , в каком году он был построен в 1764 году в 1766 году в стиле и классических элементов барокко проекта M 2 павильона 23 3, 1, 1, 4, 1, 3, 2, 1, 1, 2, 1, 2 1.83333333333
+MOP4 ja Изначально оператор этой дороги твердо Gernrode - был Harzgeroder Eisenbahn AG . 10 2, 4, 1, 1, 4, 1, 2, 1, 2, 3, 3, 2, 2 2.15384615385
+MOP4 ja ( " Явная тиреоидит " ) была разработана в результате повреждения травматического тиреоидит . 9 3, 2, 1, 2, 2, 3, 1, 1, 1, 3, 1, 2, 3, 4 2.07142857143
+MOP4 ja Медь -желтый фон , указывает на крупное месторождение медной руды (в виде халькопирита цвета желтый , в частности ) . 14 4, 2, 2, 1, 3, 2, 2, 4, 1, 1, 3, 1, 3 2.23076923077
+MOP4 ja Теперь , школа имеет коллекция 2 тренажерный зал, ТВ -центр, библиотеку уникальных учебных центров современных , условий жизни и жилья отличной , в сложной симулятора . 21 2, 3, 1, 1, 1, 2, 1, 4, 1, 3, 2, 2, 2 1.92307692308
+MOP4 ja В настоящее время он является главным тренером работать на " вторых футбольная лига английского клуба " Моркаме . 15 3, 4, 2, 2, 1, 2, 2, 3, 1, 1, 2 2.09090909091
+MOP4 ja В течение последних нескольких десятилетий , храм получил повторную конфигурацию несколько . 10 3, 2, 2, 2, 2, 4, 3, 2, 1, 2, 2, 3, 3, 1, 3 2.33333333333
+MOP4 ja Использовали арабскую вязь еще в Ираке и Иране . 8 4, 4, 4, 3, 3, 3, 4, 4, 4, 4 3.7
+MOP4 ja В этом случае процессор команд до четырех , чтобы иметь возможность смотреть в четыре раза быстрее , и могут быть обработаны одновременно . 20 2, 2, 2, 1, 2, 1, 2, 1, 2, 2, 1, 3, 3 1.84615384615
+MOP4 ja Площадь , заключенная между Волжской Терека и Дона - реки бассейна . 9 2, 2, 1, 1, 2, 2, 1, 2, 4, 1, 2, 2 1.83333333333
+MOP4 ja Таким образом , чтобы избежать деформации или провисания здания и сопротивление изгиба силы почвы . 13 2, 2, 2, 4, 2, 3, 3, 3, 3, 3, 2 2.63636363636
+MOP4 ja В 1863 году , состоящая из W. и сообщение памятника картины 10 2, 4, 1, 1, 1, 1, 1, 3, 1, 2, 4, 1 1.83333333333
+MOP4 ja Оливер - в меньшей степени и Джозеф Смит-младший , ездить основателя и силу движения Святых последних дней в начале , это было в первые два года . 23 1, 1, 1, 1, 3, 4, 1, 1, 1, 2, 1, 1, 1 1.46153846154
+MOP4 ja Время задержки - временные ряды , formula_9 - - formula_10 и размерность вложения formula_8 есть : теорема Такенс ) . 13 2, 2, 1, 3, 1, 2, 2, 1, 2, 2, 1 1.72727272727
+MOP4 ja В 1991 году астроном Александр Volschan радио Польши , исследование находит +12 1257 обсерватории Аресибо пульсара PSR в 1990 году, он заметил периодическое изменение частоты пульса . 24 1, 3, 2, 1, 2, 1, 2, 1, 3, 1, 2, 2 1.75
+MOP4 ja Я переехал в Санкт-Петербурге Дибича был похоронен на кладбище Borukofuruta фракции его тела . 13 1, 1, 1, 1, 1, 2, 1, 2, 1, 4, 2, 3, 1, 1, 1, 1 1.5
+MOP4 ja Бывший скептически , что плодотворное очень был найден многие из той же эпохи ) . 12 1, 1, 3, 4, 1, 1, 3, 1, 1, 1, 2, 1, 1 1.61538461538
+MOP4 ja Я установил ремонтную мастерскую для ремонта железнодорожного транспортного средства на 1868 . 11 3, 2, 3, 2, 3, 2, 3, 1, 2, 3, 3, 3 2.5
+MOP4 ja Спектакль в первую очередь в Лиге Европы дебютном сезоне за свой клуб в Германии . 14 2, 1, 1, 3, 2, 2, 2, 1, 4, 1, 1, 1 1.75
+MOP4 ja " Connaught имеет гораздо меньший базу игроков , которые могут быть использованы для звонков на " команды , но в отличие от команды местного ирландского друга . 22 2, 3, 1, 2, 1, 1, 2, 1, 1, 2 1.6
+MOP4 ja Konami 9 мая 2005 подал иск о нарушении авторских прав против игры удивительной компании, которая производит серию музыкальных игр в паз . 21 1, 3, 2, 3, 1, 2, 2, 3, 3, 3, 3, 1 2.25
+MOP4 ja Сцена с наличием Ирбис по количеству документального BBC : « Планета Земля» , «великий природные явления " . 12 2, 2, 1, 3, 2, 2, 2, 1, 1, 2, 2 1.81818181818
+MOP4 ja С начала Второй мировой войны , его отец, семья поселилась в Сиднее Эдвина устроился на работу на заводе по производству ламп накаливания . 21 4, 2, 2, 4, 2, 2, 2, 3, 3, 3, 3, 2 2.66666666667
+MOP4 ja " 1 Суперкубок матч Англия не учитываются в этой таблице . 9 2, 2, 2, 2, 2, 3, 1, 2, 2, 1, 3, 2 2.0
+MOP4 ja С 2007 года группа была частью ( российского представительства этикетки крупной немецкой ) метки « Phlatline » . 13 1, 2, 3, 1, 1, 3, 1, 2, 3, 4, 1, 2, 2 2.0
+MOP4 ja Я был обречен заранее почти результат схватки данной подавляющее превосходство итальянцев в боевой силы . 14 2, 2, 1, 3, 1, 1, 2, 1, 3, 1, 1, 2, 1 1.61538461538
+MOP4 ja В 2001 году немецкие строители , показали, что не только позволяет им построить корабль , небуровой платформы . 15 2, 3, 1, 2, 3, 1, 1, 1, 2, 2, 2, 2, 2 1.84615384615
+MOP4 ja В отличие от США , альбом был выпущен ( 10 песен с каждой стороны ) одного диска в Великобритании . 16 2, 1, 1, 3, 2, 2, 1, 2, 3, 2, 3, 3, 3 2.15384615385
+MOP4 ja Были направлены на лечение и декабре болезни Strepuhov 1942 , в конце командира дивизии 1 января 1943 года он был назначен полковник . 21 2, 4, 1, 1, 3, 1, 1, 2, 3, 1, 1, 1, 1, 1 1.64285714286
+MOP4 ja Ввиду отказа устройств может быть специальная система , полную потерю электростанций , чтобы обеспечить отвод тепла надежный из реактора . 17 1, 3, 2, 1, 1, 3, 3, 2, 1, 2, 2, 3 2.0
+MOP4 ja Книга соавтор Роберт Kroderom : Опубликовано в " Вагнер Жизнь и творчество " ( сборник " Портрет музыканта Латвии " и ( ) ) . 15 2, 2, 3, 4, 3, 2, 3, 1, 3, 2, 2, 2, 2, 2 2.35714285714
+MOP4 ja В том числе ( 1957 ) и "Атлантис" ( 1961 ) " Дочь доктора Джекила ", " Пришельцы с планеты X " ( 1951 ) , он сделал фильм из нескольких жанров в категории . " 22 4, 4, 2, 1, 2, 2, 2, 2, 2, 3, 3, 2 2.41666666667
+MOP4 ja Есть 250 видов танцев " типа " , только о 30 из них . 10 1, 3, 2, 2, 1, 3, 1, 1, 1, 1, 2, 2 1.66666666667
+MOP4 es Украшения фоторамки и ребенок жест , несомненно, помните , чтобы сохранить в Лувре " Maesta " Чимабуэ . 13 1, 3, 4, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1 1.53846153846
+MOP4 es После демобилизации он вернулся в школу , которую окончил в 1949 году в мастерской профессора П . 15 3, 3, 3, 3, 4, 4, 3, 4, 4, 4 3.5
+MOP4 es Историки и социологи отмечают распространенность науки " нескольких независимых открытий . " 9 2, 3, 3, 4, 3, 2, 3, 4, 2, 4, 4, 3, 3, 2, 4, 3 3.0625
+MOP4 es Симметризация операции :сумма по всем перестановкам индексов formula_5 скобки . 8 1, 3, 1, 2, 1, 2, 1, 2, 3, 3, 3, 4, 1, 2, 2, 2 2.0625
+MOP4 es Валентин очень большую часть своего расследования каменные гробницы , где открыл два грота , в котором содержится уникальные петроглифы в 1973 посвящен . 20 1, 3, 1, 1, 1, 2, 2, 1, 2, 2, 1, 4, 2, 2 1.78571428571
+MOP4 es Его картины изображают сентиментальным и знакомым личного опыта автора о жизни обитателей гор ,стремились к лучшему будущему и имеют сильный местный колорит . 21 2, 4, 1, 3, 1, 2, 1, 3, 2, 2, 3, 1, 2, 2, 1, 2 2.0
+MOP4 es 3 сентября 1738 - Кардинал - епископ епархии Палестрины suburbicarian . 8 1, 1, 2, 4, 1, 3, 4, 1, 2, 1, 2 2.0
+MOP4 es Почта , расположен в Milyushino служит село Великие Погорелово 66 домов . 10 2, 4, 1, 4, 1, 1, 1, 2, 2, 3, 1, 2, 1, 2, 1 1.86666666667
+MOP4 es В общей сложности 1196 Корпус 446 выпускников приняли участие в борьбе против большевизма в составе белых армий . 17 3, 4, 3, 2, 3, 3, 3, 3, 3, 4, 3 3.09090909091
+MOP4 es Год спустя , команда напомнил себе , писать второй альбом , Дорогая, я дома . 11 2, 3, 1, 1, 2, 1, 1, 1, 2, 1, 3, 1, 2 1.61538461538
+MOP4 es С тех пор он является начальником Военно боеприпасов районного адрес , затем - начальник войск Главного артиллерийского управления А . 17 2, 2, 2, 2, 4, 3, 1, 2, 1, 2, 2, 2, 3 2.15384615385
+MOP4 es Ингибирование субстрата -частный случай превосходное ингибирование , когда две молекулы связываются с подложкой фермента , предотвращая образование продукта . 15 4, 4, 2, 3, 2, 3, 3, 3, 2, 3, 3 2.90909090909
+MOP4 es После показа клипа сам был Смоки Робинсон , рассказал эту версию песни . 11 2, 4, 2, 4, 1, 1, 2, 2, 1, 2, 1, 2, 2 2.0
+MOP4 es В конце концов , все союзники договорились добровольно вносить деньги вместо судов снабжения . 12 4, 4, 3, 3, 3, 3, 3, 4, 2, 4, 4, 2 3.25
+MOP4 es На чемпионате мира О'Салливан начал с победы над Маркусом Кэмпбеллом со счетом 10 : 4 . 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 es Квантунская армия была также биологического оружия , предназначенные для использования против советских войск (см . 12 1, 2, 3, 2, 4, 2, 3, 3, 1, 2, 4, 1, 3, 2 2.35714285714
+MOP4 es В 1822 году имение продано Румянцев Кирилл Нарышкин, который , в соответствии с ним . 13 1, 1, 2, 3, 1, 3, 1, 1, 2, 2, 2 1.72727272727
+MOP4 es Список не включает покойному ДЭПЛ K -129 , который был на борту ядерного оружия . 12 2, 1, 1, 1, 3, 1, 3, 4, 1, 1, 2 1.81818181818
+MOP4 es С 2005 года он стал сторонником национальной сборной Узбекистана . 9 2, 3, 3, 4, 4, 2, 4, 3, 4, 4, 4, 3, 4 3.38461538462
+MOP4 es Имя Mark II был использован Toyota на протяжении нескольких десятилетий и первоначально использовался как часть имени Toyota Corona Mark II . 20 4, 3, 2, 2, 2, 2, 3, 3, 2, 4, 4, 4 2.91666666667
+MOP4 es После аварии , Джек Бун помог оказать первую помощь пострадавшим . 9 4, 4, 4, 3, 4, 3, 3, 4, 4, 4, 4 3.72727272727
+MOP4 es Его сын Адольф я стал первым Граф Берг . 8 1, 3, 1, 1, 1, 2, 3, 3, 2, 1, 1, 2, 3, 1 1.78571428571
+MOP4 es Для правительства было 100 миллионов драхм , многие из которых были близки к отверстиям в бюджет . 15 2, 1, 1, 4, 1, 2, 2, 1, 3, 1, 1, 1 1.66666666667
+MOP4 es В нижней части реки прорезает Кускоквима гор и выходит на большую аллювиальную равнину , лежащую к югу от устья Юкона . 19 4, 3, 2, 3, 2, 3, 2, 2, 4, 1, 3, 4, 3, 3 2.78571428571
+MOP4 es Блок управления в этом типе кондиционирования преобразует переменный ток в постоянный , а затем генерирует переменный ток нужной частоты . 18 4, 4, 4, 4, 4, 3, 4, 4, 2, 4, 4, 4, 4, 4 3.78571428571
+MOP4 es С 18 апреля 1600 - член товарищества Троицы , позже стал одним из провинциальных ордена (руководители миссии в той или иной области ) . 19 2, 2, 4, 3, 3, 2, 3, 2, 3, 2, 1, 2, 3, 3 2.5
+MOP4 es В 1911 году во время Дели Дурбар он стал Кавалер Большого креста ордена королевы Виктории . 15 3, 2, 3, 2, 3, 2, 4, 2, 2, 3, 3, 3, 4 2.76923076923
+MOP4 es Вернуться в Москве нападающего "Динамо" Москва Петренко помог клубу занять многонациональных Кубок хоккейной лиги в 1996 году . 16 2, 2, 3, 1, 2, 3, 1, 2, 1, 3, 2, 2 2.0
+MOP4 es Клавиатуры альбом Ронни Джеймсом Дио и Джимми Бэйн . 8 1, 3, 1, 1, 3, 1, 3, 1, 1, 2, 1, 2, 3 1.76923076923
+MOP4 es Национальный дебют России Яковлев на 1 июля 1912 первые Олимпийские игры в стране , в матче, в которомкоманда проиграла сокрушительных Германия 0:16 россиян . 22 2, 2, 1, 1, 4, 1, 3, 1, 2, 2, 2, 1, 2 1.84615384615
+MOP4 es 30 декабря 1977 года в городе Хабаровске ) - российский спортсмен , мастер спорта международного класса . 13 3, 4, 1, 3, 2, 2, 3, 4, 2, 2, 4, 3 2.75
+MOP4 es При Торибио де Mogroveho был назван архиепископом Лимы , Франсиско де Kinnes пошел с ним в Новый Свет в 1580 году . 20 4, 3, 3, 1, 3, 2, 2, 4, 3, 2, 2, 3, 3, 3, 2 2.66666666667
+MOP4 es Лена пришла на смену нового вокалиста - " . Antareks " Энни Морозова , который ранее работал на изучении детей 15 2, 3, 2, 1, 3, 2, 2, 1, 3, 2, 3, 4, 2 2.30769230769
+MOP4 es С тех пор неуклонно в фильмах , комедиях, мыльных опер и телевизионного конкурса как "Вечерний Киев" , " Рюрик " , " Naspravdі шоу " , "Бойцовский клуб" , " Ключи ", " матриархат " . 20 2, 2, 3, 3, 2, 1, 1, 2, 1, 2, 2, 2, 3 2.0
+MOP4 es Своевременное лечение незначительных травм до 5 % спирта йода р - ром или другими дезинфицирующими средствами . 14 4, 3, 3, 3, 2, 2, 3, 3, 3, 2, 3, 1, 4 2.76923076923
+MOP4 es С 4 лет он начал ходить в детский сад Баодин спорта, 10 лет , он начал обучение в средней школе спортивной Баодин . 21 2, 3, 2, 3, 2, 4, 2, 2, 3, 3, 2, 2 2.5
+MOP4 es 1927-1931 - был открыт мощный слой солей в озерах Tavolzhanskiy и представил их экономической эксплуатации . 14 1, 2, 1, 3, 2, 2, 2, 2, 3, 2, 3, 2 2.08333333333
+MOP4 es В 1920 году он окончил второй курсы артиллерийский Петроград . 9 2, 2, 1, 1, 4, 2, 2, 2, 2, 2, 2, 2, 2 2.0
+MOP4 es На аверсе монеты в центре изображение, снятое двумя руками , одна из которых распространяется на другие , чтобы спасти . 17 1, 2, 3, 3, 1, 3, 2, 1, 1, 3, 3, 2, 1, 2, 2 2.0
+MOP4 es Исполняющий обязанности главного тренера - Зоран Zekić , который возглавлял клуб в августе 2014 после увольнения Вячеслава Руснак . 16 2, 3, 3, 2, 3, 3, 3, 3, 4, 3, 3, 4 3.0
+MOP4 es Только позже , в битве при морской пейзаж, епископские силы смогли победить крестьянские отряды . 13 2, 3, 2, 3, 2, 4, 2, 3, 1, 2, 3, 2 2.41666666667
+MOP4 es , 1828 ) , а также исторический и географический статья содержит много историко- литературного и филологических исследований . 14 2, 4, 2, 2, 3, 2, 2, 1, 2, 3, 2, 1 2.16666666667
+MOP4 es Любимая команда называется " Реал " любимый игрок - Дэвид Бекхэм . 8 4, 3, 2, 4, 3, 4, 4, 2, 4, 4, 4, 3, 4, 4, 4 3.53333333333
+MOP4 es Кроме того , количество чернокожих растет за счет внешней миграции на перемещенного значительного числа чернокожих в Африке и Карибском бассейне . 19 3, 4, 2, 2, 3, 2, 2, 3, 3, 2, 2, 3, 1, 2, 3 2.46666666667
+MOP4 es Гибридный динамичный ритмичная музыка и рэп металл нажмите rechetativa Швеция названием звание "лучший хард-рок дебют в истории шведской музыки . " 18 1, 4, 1, 1, 3, 1, 3, 3, 1, 2, 1, 1, 1, 1, 1, 2 1.6875
+MOP4 es Очевидно, что эточасть глины , который участвовал в Войне Древних , по просьбе мастера красоты . 13 2, 3, 1, 1, 1, 4, 1, 1, 1, 2, 1, 1 1.58333333333
+MOP4 es 6 марта Castellan Киев Львов также пришел с шесть тысяч Стефан Чарнецкий деления . 13 2, 3, 3, 1, 2, 1, 2, 1, 1, 1, 1 1.63636363636
+MOP4 es ,Группа записала альбом Fight Back , сингл " Wild Night ' становится песня недели версии популярного британского издания Sounds . 15 2, 2, 2, 3, 2, 3, 3, 3, 2, 3, 3 2.54545454545
+MOP4 es Он объявил о завершении своей карьеры в конце сезона 2005-2006 . 10 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4 3.90909090909
+MOP4 es После второго раздела Польши ( 1793 ) , в рамках Российской империи . 9 3, 3, 4, 3, 3, 3, 3, 3, 3, 4, 4 3.27272727273
+MOP4 es Фридрих Ратцель (1844-1904) вошел в употребление этот термин в научных работах , " Политическая география " ( 1897 ) и " жизненное пространство " ( 1901 ) . 17 2, 4, 2, 2, 2, 2, 2, 3, 3, 3, 3 2.54545454545
+MOP4 es Злой птицы решили отомстить им , и вернуть яйца обратно . 9 2, 3, 3, 2, 2, 3, 2, 4, 3, 2, 3 2.63636363636
+MOP4 es Фреска " Санкт- Симон со получать образок из ордена кармелитов Пресвятой Девы Марии с младенцем " считается одним из шедевров Тьеполо . 19 2, 4, 1, 2, 2, 3, 3, 1, 2, 2, 3, 3 2.33333333333
+MOP4 es Черт - река в России , впадает в Тверской области Ржев, источник в области Старица . 13 2, 3, 3, 3, 4, 2, 2, 2, 4, 2, 2, 1, 3, 3 2.57142857143
+MOP4 es С сентября 1934 г. он работал в Академии наук СССР , он был ученым секретарем Института экономики . 16 3, 4, 3, 3, 3, 3, 4, 4, 4, 3, 3, 4, 4, 4, 4 3.53333333333
+MOP4 es NGC 1857 ( другое название - OCL 428 ) - открыл в созвездии Возничего кластера . 11 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3 2.25
+MOP4 es В сезоне 1997/1998 Мэннинг играл на позиции центрального . 8 3, 4, 3, 4, 2, 4, 3, 3, 4, 3, 4, 3, 3, 3 3.28571428571
+MOP4 es Доярки кооператив в 1930 году членом Всероссийского - Всесоюзная сельскохозяйственная выставка . 10 1, 4, 1, 3, 2, 1, 1, 1, 3, 2, 4, 1, 1, 2 1.92857142857
+MOP4 es Их задачей было обеспечить контроль с воздуха , а также группировку материальных войск питания . 13 3, 2, 4, 2, 3, 4, 3, 2, 4, 3, 4, 2, 3 3.0
+MOP4 es Олсен (2010 ) делится на две подгруппы: Cynognathia и Probainognathia . 8 3, 2, 3, 3, 4, 1, 3, 3, 4, 4, 4, 4, 4 3.23076923077
+MOP4 es Один сын , Филота , командовал тяжелой кавалерией ( getayrami ), и еще один сын, Никанора , стрелкового корпуса - Hypaspists . 15 2, 3, 2, 1, 3, 3, 3, 3, 2, 2, 3, 3, 2 2.46153846154
+MOP4 es По данным независимого исследовательского проекта, " Ива Falls : миф или реальность ? 10 3, 3, 3, 3, 1, 3, 2, 4, 3, 3, 2, 4, 2, 2, 2 2.66666666667
+MOP4 es В Менделеевском съезде В.И. участие 3211 делегатов представляли 320 докладов . 10 4, 1, 3, 1, 4, 2, 3, 3, 2, 3, 1, 1, 3, 4, 3 2.53333333333
+MOP4 es дома DLL содержит движок Trident , которая отвечает за отображение страницы на экране и управлять веб- страницы на основе DOM . 19 2, 4, 2, 2, 1, 2, 1, 2, 2, 2, 3 2.09090909091
+MOP4 es В феврале 1941 года он был призван в ряды Красной Армии рабочих и крестьян . 14 4, 3, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4 3.75
+MOP4 es Когда перекормленные рыба может начать различные заболевания , в том числе ожирения . 11 2, 3, 2, 2, 4, 1, 1, 2, 1, 3, 1, 2, 2 2.0
+MOP4 es Свольна - река в Псковской области России и Белоруссии , Витебская область, правый приток реки . 13 2, 3, 4, 4, 4, 2, 2, 3, 3, 3, 3, 4, 3 3.07692307692
+MOP4 es От сентябрьском номере журнала опубликованы материалы итальянской версии молодежного издания Max ( по договору ко-брендингового с лицензиаром ) . 16 2, 2, 2, 3, 1, 3, 4, 2, 2, 4, 1, 4 2.5
+MOP4 es Валентин Носов ( 1924 - 9 декабря 2009 года) - токарь karuselschik гидро завода № 19 турбинный завод Ленинградский металлический . 16 1, 3, 1, 3, 1, 2, 1, 2, 2, 2, 3 1.90909090909
+MOP4 es Научная программа экспедиции было астрофизики , материаловедения, наук о жизни , медицинское и технологических экспериментов . 13 2, 3, 3, 2, 3, 3, 3, 2, 3, 2 2.6
+MOP4 es Количество уровней называется высота YPF и максимальная ширина уровней - широкий YPF . 11 2, 3, 2, 2, 1, 3, 2, 3, 2, 1, 4, 4 2.41666666667
+MOP4 es Дворец с двумя павильонами , построенный в 1764-1766 году в стиле барокко с классическими элементами проекта М . 16 3, 4, 3, 4, 3, 3, 2, 4, 4, 3, 4, 4, 4 3.46153846154
+MOP4 es Изначально оператор этой дороги был тверд Gernrode - Harzgeroder Eisenbahn AG . 10 2, 4, 1, 1, 1, 1, 3, 2, 1, 2, 2, 4 2.0
+MOP4 es Травматический тиреоидит ( " ощутима тиреоидит " ) развивается в результате травмы . 8 3, 2, 2, 2, 3, 1, 2, 1, 1, 3, 2, 3, 3, 4 2.28571428571
+MOP4 es В Ираке и Иране , арабское письмо до сих пор используется . 10 3, 4, 4, 3, 3, 4, 3, 4, 4, 3, 4, 3, 4, 3, 4 3.53333333333
+MOP4 es В этом случае , до четырех команд может быть в лечении , позволяя при этом процессор для поиска в четыре раза быстрее . 20 2, 3, 2, 2, 1, 3, 2, 4, 1, 1, 2, 2, 1 2.0
+MOP4 es С головы до середины спины черная полоса идет . 8 3, 3, 3, 4, 3, 3, 2, 1, 4, 4, 3, 3, 3, 2, 3 2.93333333333
+MOP4 es Поэтому сопротивление на изгиб силы почву , избегая потери устойчивости и деформации здания . 12 2, 2, 1, 4, 2, 4, 2, 1, 2, 2, 2, 2 2.16666666667
+MOP4 es Несколько песен спустя появился в фильме 200 мотелей . 8 3, 2, 2, 2, 4, 4, 2, 3, 1, 4, 3, 3, 1 2.61538461538
+MOP4 es Теорема Такенс ) : Там formula_8 - временных рядов formula_9 - formula_10 размерность вложения - время задержки . 12 1, 3, 3, 3, 1, 2, 1, 1, 1, 3, 1, 1, 3, 1 1.78571428571
+MOP4 es В 1991 году польский астроном Александр радиус Volschan исследование показало, в 1990 году , пульсар PSR 1257 + обсерватории Аресибо 12 заметил периодическое изменение частоты импульсов . 24 2, 2, 1, 4, 1, 3, 1, 1, 1, 2, 2, 2 1.83333333333
+MOP4 es Его останки были перенесены в Санкт-Петербург , где Дибич был похоронен в лютеранском кладбище Волков . 14 4, 3, 3, 4, 4, 3, 3, 3, 2, 3, 3, 4, 4, 3 3.28571428571
+MOP4 es Смысл оперы в этих трагических событий , и идеи любви к Родине , горячее желание вернуться в Украину из казаков . 18 3, 3, 3, 1, 3, 2, 2, 3, 2, 1, 3, 2, 3 2.38461538462
+MOP4 es В московском пожаре 1812 года , бесценный научный богатство музея почти полностью потерял . 12 2, 2, 1, 3, 2, 1, 2, 1, 3, 1, 1, 3, 2, 2 1.85714285714
+MOP4 es Для ремонта железнодорожного подвижного состава ремонт 1868 были созданы . 9 3, 2, 1, 1, 3, 1, 2, 2, 2, 4, 2, 1 2.0
+MOP4 es 9 августа Прозоровский князь умер , и командование армии пошел к Багратиону . 11 2, 2, 4, 2, 4, 2, 3, 2, 3, 3, 2, 2 2.58333333333
+MOP4 es В отличие от других ирландских провинциальных групп " Коннахт " имеет гораздо меньшие спортсменов , доступные для вызова к основанию компьютера . 18 2, 4, 2, 1, 2, 2, 3, 3, 1, 3, 2, 2, 2, 2, 4, 4 2.4375
+MOP4 es 9 мая 2005 Konami иск за нарушение авторских прав против компании Roxor игр , которые производит серию музыкальных игр в слот . 20 2, 2, 2, 1, 1, 1, 1, 3, 2, 1, 3, 4, 3 2.0
+MOP4 es Сцены с ирбиса , присутствующих в серии BBC документальные фильмы " Планета Земля ", " величайших природных явлений " . 14 2, 2, 3, 3, 4, 1, 3, 2, 1, 2, 2, 3, 3 2.38461538462
+MOP4 es " 1 Суперкубок матч Англия в этой таблице не учитываются . 9 3, 3, 1, 3, 2, 1, 2, 1, 1, 3, 3, 3, 3, 3 2.28571428571
+MOP4 es Когда Башкирский находится на воде , есть красота -Девушка месяцев жену , и с тех пор она стоит там с коромыслом и ведрами . 20 2, 3, 1, 4, 1, 1, 1, 1, 1, 3, 1, 2, 1 1.69230769231
+MOP4 es С 2007 года группа была часть этикетки " Phlatline " (представительство в России большого немецкого лейбла ) . 13 2, 3, 2, 2, 3, 1, 3, 2, 3, 1, 2, 3, 4 2.38461538462
+MOP4 es Исход битвы , учитывая подавляющее превосходство итальянцев в боевой мощи почти предначертано . 11 3, 4, 3, 3, 3, 3, 3, 4, 2, 3, 4, 3, 3 3.15384615385
+MOP4 es В 1784 году, совершенно разные отношения с женой . 8 3, 2, 2, 3, 1, 2, 3, 1, 3, 1, 2, 4, 1 2.15384615385
+MOP4 es В конце декабря 1942 года Strepuhov болен и был отправлен на лечение , командира дивизии 1 января 1943 года был назначен полковник . 21 2, 4, 2, 2, 1, 2, 2, 1, 2, 3, 3 2.18181818182
+MOP4 es Специальные системы обеспечивают надежный отвод тепла от реактора , даже при полной потере электростанции с учетом возможных отказов оборудования энергии . 19 4, 3, 4, 4, 3, 4, 4, 3, 4, 3, 3, 3, 4, 1 3.35714285714
+MOP4 es в соавторстве с Робертом Kroderom опубликовал книгу , " Рихард Вагнер :Жизнь и творчество " ( ) и сборник " Портреты латвийских музыкантов » ( ) . 16 4, 4, 4, 3, 3, 3, 3, 3, 3, 4, 4, 4 3.5
+MOP4 es Его отец вышел в отставку в 1992 году, после того, как семья переехала в Саудовской Аравии, где Шахзад окончил школу в 1996 году . 23 4, 4, 3, 3, 2, 3, 3, 3, 3, 3, 3 3.09090909091
+MOP4 es Он сделал пару фильмов жанра в категории , в том числе " иностранца от Планеты X " (1951) , " Дочь доктора Джекила » (1957) и "Атлантис " (1961) " . 18 2, 3, 3, 3, 1, 3, 2, 4, 4, 2, 2, 4, 3 2.76923076923
+MOP4 es В 1555 году, Байрам -хан вел войско Хумаюна Султан Сикандар шаха выигрывает Пенджаб Suridov династию , которая имела армии восьмидесятитысячное . 18 2, 3, 1, 1, 2, 3, 2, 2, 1, 3, 1, 1, 2, 4 2.0
+MOP4 no Верховный Совет Украинской ССР ( ) - высший орган государственной власти и единственным законодательным органом Украинской ССР . 14 4, 3, 2, 4, 2, 2, 2, 3, 2, 3, 4, 3 2.83333333333
+MOP4 no Существует легенда , что дает Abbot Пьера де Marks " История Bearn " (XVII век) . 11 2, 2, 1, 1, 3, 3, 2, 1, 1, 2, 2, 2, 1 1.76923076923
+MOP4 no Его работы изображают сентиментальным и знакомы автору из личного опыта жизни горцев , тяги к лучшему будущему , и имеет сильный местный колорит . 21 3, 3, 3, 3, 3, 2, 3, 2, 3, 2, 3 2.72727272727
+MOP4 no Послы соборных постановлений были направлены на Восток и достиг Антиохию в апреле 344 года . 14 3, 4, 2, 2, 3, 2, 3, 2, 3, 2, 3, 2 2.58333333333
+MOP4 no Фильм был также номинирован на " Золотую пальмовую ветвь " на Каннском кинофестивале . 11 4, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.84615384615
+MOP4 no Почта , расположен в Milyushino служит село Большое Погорелово 66 домов . 10 2, 4, 1, 1, 2, 1, 1, 1, 3, 2, 2 1.81818181818
+MOP4 no В общей сложности 1196 Корпус 446 выпускников приняли участие в борьбе против большевизма в составе белых армий . 17 2, 2, 3, 2, 1, 3, 2, 2, 2, 4, 4, 4 2.58333333333
+MOP4 no Год спустя , команда напомнил себе , пишетвторой студийный альбом , Дорогая, я дома уютно . 12 2, 3, 1, 1, 1, 1, 1, 4, 1, 3, 1, 3, 1, 1, 1, 1 1.625
+MOP4 no Учился на инженера , а с началом Второй мировой войны , он присоединился к армии Соединенных Штатов и принимал участие в итальянской кампании . 21 4, 4, 4, 3, 3, 4, 4, 4, 3, 4, 3, 4, 4 3.69230769231
+MOP4 no Соглашение означает, что распределение нефтяных доходов , а также дальнейшей интеграции трех восточных государств ( Красное море , Кассала и Gedaref ) в одну административную единицу . 22 2, 3, 4, 2, 2, 3, 2, 3, 2, 2, 4, 3, 3 2.69230769231
+MOP4 no После показа клипа даже Смоки Робинсон , рассказал эту версию песни . 10 3, 3, 3, 3, 2, 2, 1, 2, 3, 3, 3, 2, 3 2.53846153846
+MOP4 no На виртуальной машине О'Салливан начал с победы над Маркусом Кэмпбеллом со счетом 10 : 4 . 14 4, 4, 3, 3, 3, 1, 3, 4, 4, 4, 3, 3, 4, 4 3.35714285714
+MOP4 no Гуандун армия имела также биологического оружия , предназначенные для использования против советских войск (см . 12 2, 3, 2, 3, 2, 2, 2, 1, 3, 3, 3 2.36363636364
+MOP4 no В 1822 имение продано Румянцев Кирилл Нарышкин, который в соответствии с ней . 12 2, 2, 2, 4, 1, 2, 2, 3, 1, 2, 1, 2, 2, 1, 1 1.86666666667
+MOP4 no В июне 2003 года ,третий бой между Гатти и Уорд . 9 3, 3, 3, 3, 2, 3, 2, 3, 3, 2, 3, 3, 4, 4 2.92857142857
+MOP4 no при династии Сефевидов имперская мануфактура производится большой коврик пола . 9 1, 3, 1, 1, 3, 4, 1, 2, 1, 1, 1, 3, 2 1.84615384615
+MOP4 no Список не включает умершего дизель - электрическая подводная лодка K -129 , который имел на борту ядерное оружие . 15 2, 3, 4, 1, 2, 1, 1, 1, 1, 1, 2, 3 1.83333333333
+MOP4 no Турнир был организован при поддержке Skate Canada ISU . 8 4, 3, 4, 4, 2, 4, 4, 3, 4, 4, 4, 4, 4 3.69230769231
+MOP4 no Имя Mark II был использован Toyota на протяжении нескольких десятилетий и первоначально использовался как часть имени Toyota Corona Mark II . 20 2, 3, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 4 2.61538461538
+MOP4 no После аварии , Джек Бун помог оказать первую помощь оставшимся в живых . 11 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.84615384615
+MOP4 no Это положило начало знаменитой охоты на бандитов , называемойЭрп Vendetta . 9 2, 2, 3, 3, 2, 3, 2, 3, 3, 4, 3, 4 2.83333333333
+MOP4 no С первого преступника , чье задержание стало возможным благодаря радио . 9 4, 2, 3, 2, 3, 4, 3, 4, 3, 4, 3, 2, 4 3.15384615385
+MOP4 no Он вернулся один и пошел к себе в гостиницу . 9 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3, 4 3.84615384615
+MOP4 no Предложения для обсуждения возможности алфавита " Inalif » отвечать следующим требованиям : В " Inalif " оператор используется для уменьшения обычный апостроф ' ( например , нота " соль" ' ) . 20 3, 2, 1, 3, 1, 3, 1, 1, 2, 2, 1, 3, 1, 2 1.85714285714
+MOP4 no По правительством было 100 миллионов драхм , многие из которых пошли в конечном дыру в бюджете . 15 2, 4, 1, 1, 3, 2, 3, 1, 1, 2, 2, 2, 2 2.0
+MOP4 no С 18 апреля 1600 - член Братства Троицы , стал одним из провинциалов ордена ( руководители миссии в определенной области ) . 17 3, 3, 4, 4, 2, 4, 3, 2, 3, 4, 4, 3, 4, 3, 4 3.33333333333
+MOP4 no Вернуться в Москве " Динамо" Москва нападающего Петренко помог клубу взять чашку Мульти Национальной хоккейной лиги в 1996 году . 18 3, 3, 1, 4, 3, 1, 2, 2, 4, 2, 1, 1, 1, 2 2.14285714286
+MOP4 no Национальный русский Яковлев дебютировал 1 июля 1912 на первых Олимпийских играх для страны , в матче, где команда проиграла россиянам дробления Германии 0:16 . 22 2, 2, 2, 3, 1, 3, 2, 1, 2, 3, 3, 1 2.08333333333
+MOP4 no 30 декабря 1977 года в городе Хабаровске ) - российский спортсмен , мастер спорта международного класса . 13 3, 3, 4, 2, 3, 2, 2, 3, 3, 3, 2, 3, 3 2.76923076923
+MOP4 no При Торибио де Mogroveho был назначен архиепископом Лимы , Франциско пошел щеки с ним в 1580 году в Новом Свете . 19 2, 3, 1, 1, 1, 1, 3, 3, 1, 1, 2 1.72727272727
+MOP4 no Лена пришла на замену нового вокалиста - " . Antareks " Энни Морозова , который ранее работал в детской студии 15 3, 3, 3, 1, 2, 2, 2, 2, 2, 2, 4, 3, 3 2.46153846154
+MOP4 no Андреев - Бурлак : память и наследие », Жорес Трофимов , " Симбирская книга , " 1995 10 3, 2, 3, 3, 1, 1, 4, 2, 3, 2, 3, 4, 4 2.69230769231
+MOP4 no С тех пор неуклонно в фильмах , комедиях , мыльных опер и викторины - шоу , как "Вечерний Киев " , " Рюрик " , " Naspravdі шоу " , "Бойцовский клуб " , "кнопки" , " матриархат " . 19 2, 3, 2, 3, 2, 2, 3, 2, 3, 2, 2, 1 2.25
+MOP4 no Своевременное лечение мелких травм 5 % спирта р - ром йода или другими дезинфицирующими средствами . 13 3, 3, 3, 2, 2, 3, 4, 3, 3, 3, 3, 3 2.91666666667
+MOP4 no Krioapplikatory предназначен разрушение больших участков биологической ткани , так как они находятся в контакте с поверхностью объекта должны быть заморожены , и имеет достаточно большой размер . 24 2, 2, 1, 1, 1, 2, 1, 1, 2, 3, 2, 2, 2 1.69230769231
+MOP4 no На Эльбе , потайной и Сунжа организовал несколько новых казацкие станицы . 10 2, 2, 1, 2, 1, 4, 2, 2, 3, 1, 3, 1, 2, 3, 3 2.13333333333
+MOP4 no В 1920 году окончил артиллерийские курсы другие петроградских . 8 2, 3, 3, 2, 4, 1, 1, 1, 2, 2, 2, 2, 3 2.15384615385
+MOP4 no Соломон говорил компания Дик Роуэн " Decca Records" , чтобы заключить соглашение , и когда члены них переехал в Лондон . 17 2, 1, 1, 1, 2, 2, 4, 2, 1, 1, 1, 1, 2, 1, 2 1.6
+MOP4 no Третий финал сезона рассматривается более 9210000 зрителей , кроме записей на DVR . 11 2, 3, 1, 2, 3, 2, 3, 2, 1, 2, 4, 2, 2 2.23076923077
+MOP4 no Рано утром он построил своих людей в боевой порядок , чтобы изменить его . 12 4, 3, 2, 1, 3, 3, 1, 3, 4, 3, 2, 4, 3, 3, 3 2.8
+MOP4 no На передней стороне монеты в центре на изображении, полученном с помощью двух рук , один из которых растягивается до другого , чтобы сохранить . 21 3, 2, 4, 1, 3, 2, 1, 2, 1, 1, 2, 2 2.0
+MOP4 no Сосновка , Кировская область ) был построен три корабля в серии , приехал сюда Баргузин - 1 и 2 - Баргузин Баргузин -3 . 17 2, 3, 1, 1, 4, 1, 2, 2, 2, 1, 1, 1, 2, 2 1.78571428571
+MOP4 no U -173 - большой тип океаническая немецкая подводная лодка IX - C , со времен Второй мировой войны . 14 2, 3, 2, 3, 2, 2, 1, 2, 2, 2, 3, 2, 3, 3, 3, 3 2.375
+MOP4 no , 1828 ) , в дополнение к исторической и географической статье содержится ряд литературно- исторического и филологического исследования . 15 3, 2, 3, 3, 2, 3, 3, 2, 3, 2, 2, 3, 3, 4 2.71428571429
+MOP4 no Любимая команда зовет " Реалу" любимый игрок - Дэвид Бекхэм . 8 2, 2, 2, 1, 1, 2, 1, 3, 3, 2, 1, 2 1.83333333333
+MOP4 no Кроме того , количество чернокожих растет за счет внешней миграции на перемещенного значительного числа черных людей из Африки и Карибского бассейна . 20 4, 4, 3, 3, 2, 3, 1, 1, 3, 3, 3 2.72727272727
+MOP4 no Динамическая гибридная металла и ритмичный рэп нажмите rechetativa Швеция название титула "Лучший хард-рок дебюта в истории шведской музыки . " 17 1, 2, 1, 3, 1, 1, 2, 3, 1, 1, 2, 2, 1 1.61538461538
+MOP4 no Первоначально они были заказаны , чтобы искупить свои грехи , и под руководством Патриарха " , чтобы отстаивать и защищать паломников , приезжающих в Иерусалим от нападения воров и бандитов . " 25 4, 2, 4, 2, 4, 2, 3, 1, 3, 2, 3 2.72727272727
+MOP4 no Даниэле Андреа Ломбардо ( родился 23 мая 1987 года в Торонто ) - канадская актриса итальянского происхождения . 14 4, 2, 3, 2, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4 3.07142857143
+MOP4 no 6 марта Львов также приходят Castellan Киев Стефан Чарнецкий шесть тысяч деление . 12 1, 4, 1, 1, 1, 1, 4, 2, 1, 1, 1, 1, 1 1.53846153846
+MOP4 no Река впадает в Выгозера , его длина составляет 14 км , площадь водосбора - 49,9 квадратных километров . 14 3, 3, 3, 3, 3, 3, 2, 3, 3, 4, 4, 4 3.16666666667
+MOP4 no Объявлен в конце их спортивной карьеры в конце сезона 2005-2006 . 10 4, 2, 3, 2, 2, 2, 3, 3, 4, 3, 3, 2, 2 2.69230769231
+MOP4 no После второго раздела Польши ( 1793 ) в составе Российской империи . 9 3, 4, 3, 3, 2, 3, 3, 3, 3, 3, 4, 4, 3, 3 3.14285714286
+MOP4 no Злой птицы решили отомстить им , и вернуть яйца обратно . 9 2, 3, 3, 3, 2, 2, 2, 2, 2, 3, 2, 1, 3 2.30769230769
+MOP4 no Существование школы упоминается в 1130 , когда она приняла участие в конвенции головы в Каррион . 14 2, 3, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3 2.30769230769
+MOP4 no Их миссия заключается в обеспечении контроля воздушного и поставок материалов группировки войск . 12 2, 3, 2, 3, 2, 2, 3, 2, 3, 3, 3, 3, 3 2.61538461538
+MOP4 no Олсен (2010 ) делится на две подгруппы: Cynognathia и Probainognathia . 8 2, 4, 4, 4, 4, 2, 3, 3, 4, 3, 3 3.27272727273
+MOP4 no Один из его сыновей , Филота , командовал тяжелой кавалерией ( getayrami ), и еще один сын, Никанора , стрелкового корпуса - hypaspists . 17 1, 2, 3, 2, 3, 3, 3, 3, 3, 4, 2 2.63636363636
+MOP4 no По данным независимого исследовательского проекта, " Ива Falls : миф или реальность ? 10 3, 2, 1, 1, 4, 3, 3, 1, 4, 4, 2, 3 2.58333333333
+MOP4 no Двойное убийство совершено поздним вечером 12 июня 1994 года в бывшем доме Симпсонов . 13 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 4, 4, 3, 4 3.78571428571
+MOP4 no В VI Менделеевском съезде 3211 делегатов приняли участие представляющий 320 докладов . 11 2, 4, 1, 3, 2, 2, 4, 2, 2, 1, 1, 3, 3 2.30769230769
+MOP4 no В 1824 году Испания назначил нового губернатора Пуэрто-Рико генерал-лейтенант Мигель Лучано . 11 2, 2, 3, 4, 2, 3, 2, 3, 2, 2, 4, 2, 3, 3, 3, 3 2.6875
+MOP4 no В июле- сентябре 1921 Член ВК Помгол ( Всероссийского комитета помощи голодающим ) . 11 2, 3, 2, 4, 2, 4, 2, 4, 4, 3, 3 3.0
+MOP4 no DLL дома содержит компоновка двигателя Trident , которая отвечает за отображение страницы на экране и управления веб-сайтов , основанных на DOM . 19 1, 2, 1, 3, 1, 3, 1, 1, 3, 3, 2, 2 1.91666666667
+MOP4 no В феврале 1941 года он был призван в Рабоче-Крестьянской Красной Армии . 11 2, 3, 2, 2, 3, 2, 3, 2, 3, 3, 3, 2 2.5
+MOP4 no Когда перекормленные рыба может запустить различные заболевания , в том числе ожирения . 11 2, 2, 1, 1, 4, 2, 1, 2, 2, 2, 3, 4 2.16666666667
+MOP4 no Свольна - река в Псковской области России и Белоруссии , Витебская область, правого притока реки . 13 2, 3, 2, 1, 2, 2, 3, 2, 2, 4, 2, 3, 2, 3, 3, 2 2.375
+MOP4 no В записи приняли участие Николай Арутюнов , барабанщик Алекс Котов и Михаил Савкин ( все остальные инструменты) . 15 4, 4, 4, 4, 2, 4, 4, 4, 3, 4, 4, 4, 3, 4 3.71428571429
+MOP4 no Валентин Носов ( 1924 - 9 декабря 2009 года) - Тернер karuselschik гидро число турбинный завод 19 из Ленинградского металлического завода . 18 1, 2, 1, 3, 1, 1, 2, 2, 1, 4, 1, 1, 2, 3, 1 1.73333333333
+MOP4 no Не строг с ними , не контролировать , заботиться о . 8 1, 4, 2, 1, 3, 1, 1, 3, 1, 1, 1, 1, 3 1.76923076923
+MOP4 no 8 команд , участвующих в начальной стадии , делятся на две группы . 10 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4 3.81818181818
+MOP4 no Попал в плен крепость в 1239 был переименован в Арденнах . 10 2, 4, 2, 2, 1, 3, 2, 3, 1, 1, 2, 3, 1 2.07692307692
+MOP4 no Из четырех колес передней оси ведет только внутренне , со ступицей . 10 2, 4, 2, 2, 3, 3, 2, 3, 3, 4, 3, 3, 3, 2 2.78571428571
+MOP4 no Медь - желтый фон показывает крупные залежи медной руды (особенно в виде халькопирита , что желтый цвет ) . 14 2, 2, 1, 1, 2, 3, 1, 2, 2, 3, 3, 3, 3, 1 2.07142857143
+MOP4 no Сейчас школа имеет современный фитнес-центр , хорошие жилищно-бытовых условий , два учебных центров с комплексными тренажерами, телецентра , уникальных библиотечных фондов . 18 2, 3, 2, 2, 3, 3, 2, 2, 2, 3, 3, 4 2.58333333333
+MOP4 no В настоящее время является главным тренером английского клуба " Morecambe " действуя во Второй футбольной лиги . 14 2, 3, 3, 3, 3, 3, 2, 3, 3, 3, 4 2.90909090909
+MOP4 no В этом случае , до четырех команд обработки может быть в то же время , позволяя процессору , чтобы увидеть, в четыре раза быстрее . 21 2, 3, 1, 1, 2, 2, 4, 1, 4, 1, 1, 2 2.0
+MOP4 no В 1863 году , сообщение памятника изображения и состоит из W . 10 3, 3, 1, 3, 3, 1, 1, 1, 3, 1, 1, 1, 1, 2 1.78571428571
+MOP4 no Промоутер и основатель начале Святых последних дней движения , Джозефа Смита-младшего , и в меньшей степени в течение первых двух лет - Оливеру Каудери . 21 2, 3, 3, 1, 2, 1, 2, 1, 1, 3, 1, 2, 4 2.0
+MOP4 no Несколько песен спустя признакам в фильме 200 мотелей . 8 2, 1, 4, 1, 3, 1, 1, 1, 1, 1, 2, 1 1.58333333333
+MOP4 no В 1991 году польское радио астроном Александр Volschan исследование он обнаружил в 1990 году , обсерватории Аресибо пульсар PSR 1257 + 12 , заметил периодическое изменение частоты импульсов . 25 2, 4, 1, 1, 2, 1, 2, 1, 2, 1, 2 1.72727272727
+MOP4 no Его останки были перенесены в Санкт-Петербург , где Дибич был похоронен на кладбище Волков лютеранской . 14 4, 3, 2, 3, 2, 2, 3, 3, 3, 3, 3, 4, 2, 3 2.85714285714
+MOP4 no Перед началом сезона 2010 года , Альберт Николай переехал в " Гулбене ", который выиграл 1-е место в первой лиге Латвии и пришла в высшую лигу . 23 2, 3, 1, 3, 2, 2, 2, 3, 3, 2, 3, 4, 3 2.53846153846
+MOP4 no В московском пожаре 1812 года , является бесценным научным богатство музея почти полностью исчезли . 13 2, 2, 1, 1, 1, 2, 1, 2, 3, 3, 1, 2, 2 1.76923076923
+MOP4 no В области Летнего Креста выживает две крупный вулканический цирк , который , по-видимому , являются остатки кратера одной большой вулкан . 17 3, 2, 2, 3, 3, 1, 4, 1, 2, 2, 1, 2, 2, 1 2.07142857143
+MOP4 no Это не могло не сказаться на его здоровье . 8 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4 3.84615384615
+MOP4 no Для ремонта подвижного состава на железных дорогах к 1868 была создана семинары . 12 3, 3, 2, 3, 2, 2, 1, 2, 3, 2, 3 2.36363636364
+MOP4 no 9 августа князь Прозоровский умер , и командование армии пошел к Багратиону . 11 2, 4, 2, 2, 3, 2, 3, 3, 3, 2, 2, 2, 3, 4 2.64285714286
+MOP4 no В своем дебютном сезоне за немецкий клуб играл в основном в Лиге Европы . 13 4, 3, 3, 4, 3, 3, 3, 3, 4, 4, 3 3.36363636364
+MOP4 no 9 мая 2005 Konami подала иск за нарушение авторских прав против компании ROXOR игр , которые производит различные musikkspilli трек . 19 3, 3, 2, 1, 4, 2, 3, 1, 3, 1, 3, 2, 2 2.30769230769
+MOP4 no По реестре Государственной водной Россия принадлежит к разделу Балтийского бассейна Район водного хозяйства реки - Шелонь реки к югу - бассейне реки - Волхов . 21 2, 3, 1, 4, 1, 1, 2, 2, 1, 3, 1, 2, 1, 2, 1 1.8
+MOP4 no Майк играл долгое время во многих малоизвестных Ленинградской группы басиста , играл под мультфильме под названием " вокал - инструментальный ансамбль имени Чак Берри " с репертуаром классической рок-н -ролла . 25 2, 3, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2 2.0
+MOP4 no С 2007 года группа была часть этикетки " Phlatline " (представительство в России большого немецкого лейбла ) . 13 2, 2, 2, 2, 1, 4, 1, 2, 2, 3, 1, 4, 3, 4, 4 2.46666666667
+MOP4 no Исход поединка , учитывая подавляющее превосходство итальянцев в боевой мощи почти предопределил заранее . 12 4, 3, 2, 3, 3, 2, 3, 3, 3, 3, 2, 3, 3 2.84615384615
+MOP4 no В 1784 году , полностью отрезаны отношения со своей женой . 9 2, 2, 3, 1, 2, 3, 2, 4, 2, 2, 3, 2, 2, 3 2.35714285714
+MOP4 no В конце декабря 1942 года Strepuhov заболел и был отправлен на лечение , командира дивизии 1 января 1943 года он был назначен полковник . 22 2, 2, 3, 4, 2, 2, 3, 1, 2, 2, 2, 2 2.25
+MOP4 no Но это не остановило преследование , руководствуясь как религиозные и корыстные мотивы . 11 3, 3, 3, 1, 2, 2, 1, 4, 2, 1, 2, 2, 3 2.23076923077
+MOP4 no Его отец вышел в отставку в 1992 году, после того, как семья переехала в Саудовской Аравии, где Шахзад окончил школу в 1996 году . 23 4, 2, 2, 3, 3, 3, 3, 3, 3, 3, 4, 3, 4 3.07692307692
+MOP4 no Есть 250 видов " ката " , около 30 из них просто танцевать . 10 2, 3, 3, 1, 3, 3, 2, 3, 4, 1, 4, 3 2.66666666667
+MOP4 no В августе-сентябре 1941 года войска фронта остановки противника , попытку захватить Северный полярный круг , и заставили его перейти к обороне . 19 2, 2, 2, 4, 3, 2, 2, 2, 3, 2, 2, 2 2.33333333333
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+MOP language text length rating_list mean_rating
+MOP2 en We've still got the Dower House , and Lincolnshire is lovely in May . ’ 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en My first real friend was probably a boy called Adam . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en She was wearing denim overalls and carrying a bucket and brush . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en In the next year he had custody of Rochester Castle . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.8125
+MOP2 en BOOKING is essential for a cycle ride around Wirral Country Park on Sunday when the leader will be Cheshire ranger Barry Jackson . 22 4, 4, 4, 4, 4, 4, 1, 4, 1, 1, 4, 4, 1 3.07692307692
+MOP2 en This expression is called the fundamental theorem of Riemannian geometry . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Greg Hocking was one of those rare people who drift into teaching and find themselves , to their own surprise , absolutely cut out for the job . 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en On appointment to office a new minister will take over responsibility for many departmental policies . 15 1, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.4
+MOP2 en When Rhun in his kindness lent an arm to raise him from his knees , he hung heavily still , clinging to his desperate humility . 23 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.75
+MOP2 en Figure shows how the A-measure per unit area varies with radiometer reading . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.75
+MOP2 en In some pubs fake hand pumps serve gassy beer . 9 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 1, 4, 1, 4 3.0625
+MOP2 en Preliminary work began last September following the appointment of two countryside officers who are employed full time on the project . 20 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en This is , of course , only a tendency , and the move away from local policemen to larger , centralised policing may reduce this effect . 22 4, 4, 1, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.4375
+MOP2 en Tod features another kind of dream in which he is a woman . 12 4, 1, 1, 4, 1, 4, 4, 4, 4, 4, 1, 4 3.0
+MOP2 en Valuable coaching can often come from drama school tutors who can give a fair assessment of the possibilities you may have prior to auditioning . 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Because simulated annealing is a stochastic algorithm , different runs of probeorder will not necessarily produce the same output probe order . 20 1, 1, 1, 1, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 1, 1 2.5
+MOP2 en Although the music was animated , only the arms moved . 9 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 1 3.35714285714
+MOP2 en But the report also blasts authority bosses for failing to control the activities of 58-year-old Mr Watney , who took early retirement last year . 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1 3.6
+MOP2 en Some would of course reply personally ( he had included postage ) . 10 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 en Police are appealing for witnesses to the incident , which happened at 11am on Monday in Windsor Street , Toxteth . 18 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.72727272727
+MOP2 en The surface need not be perfectly flat or smooth . 9 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 en There are 5,733 empty council houses , almost 2,000 of which have been empty for more than a year . 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Heath ( 3.3 ) sums up one influential and long-established tradition in the study of class differences in education . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en And his price — his price can be of enormous use . 10 1, 4, 4, 4, 4, 4, 1, 4, 1, 1, 4, 4, 4, 4, 4 3.2
+MOP2 en There was a significant improvement in the attendance of miners at the Mansfield clinic , however , since this was much closer to their homes . 23 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 1, 4, 1, 4, 4 3.2
+MOP2 en ‘ Then maybe most of the faults were on my side . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Gere and Basinger star in the erotic thriller Final Analysis which Warner Home Video will released into video libraries by October 18 . 22 1, 4, 4, 4, 1, 1, 4, 4, 4, 1, 4, 4 3.0
+MOP2 en Recently , concern has grown that Michelangelo's ceiling of the Sistine chapel in Rome has been irreparably altered by the Vatican conservation team . 22 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.76923076923
+MOP2 en Disillusion me and get my sympathy at the same time . 10 1, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.4
+MOP2 en The horse shot out like an arrow from a bow . ’ 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The British Horse Society is anxious to find out why a third of them should have happened in this year alone . 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.76923076923
+MOP2 en Made with Pertex fabrics and Quallofil 7 filling , the Kompakt Lite weights only 1.2kg and , in its stuff sack , reduces to 7l . 22 1, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 1, 1 2.94117647059
+MOP2 en In exceptional circumstances , your Head of Department will not apply the withdrawal clause if there is a reasonable explanation for failure to notify . 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.8125
+MOP2 en ‘ Goodness me , who on earth can that be ? ’ 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Small specimens are sometimes confused with Synodontis petricolor . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.8
+MOP2 en They called us out into the stadium too early and it was hot , very hot . 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The review copy is a solid black , but the basic model comes oil-finished . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en In their bedroom something crashed to the floor , which immediately woke one of the twins who began to howl . 19 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.6
+MOP2 en Wanting a man who was such a louse . 8 4, 1, 1, 4, 4, 4, 1, 1, 4, 4, 1, 4, 1 2.61538461538
+MOP2 en This essential motion can not take place except in a liquid medium . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.8
+MOP2 en Upper Stowe was once called Butter Stowe because the London carrier collected butter here . 14 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4, 4 3.4
+MOP2 en The induction of adhesion of particular T-cell subsets by specific cytokines would make the process of lymphocyte recruitment more flexible and selective . 22 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.72727272727
+MOP2 en ‘ If I'd been in your shoes I'd have walked right out on him . ’ 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ But it was lost — walls were built over it , the paper had disintegrated . ’ 13 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.75
+MOP2 en You can visit the village — it has a pub , beach and a shop — then retrace your steps through the woods to reach the Saints' Way . 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en He's amongst the qualifiers for the Lancome trophy at Paris . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ Steal for you ? ’ he answered Laura's astonished protest , ‘ I'd do time . 11 4, 1, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 1, 4, 4, 1 3.0625
+MOP2 en The previous maximum flue length for the 10.5kW and 18kW output boilers was three metres . 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.8
+MOP2 en Rising slowly like an automaton , she made her way over to the counter and picked up the receiver . 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Has he really offered you the job back ? 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en They were like cogs working together , fitting into place when and where they were needed . 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Agnes , now fully dressed , went into the hall . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Supplement per person per night £135 for the first night , £105 each additional night ( minimum 2 persons ) . 15 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.75
+MOP2 en You should obtain a Certificate of Posting , which is available free of charge at the counter . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The modernization and industrialization of nineteenth century Britain changed the population map . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.8
+MOP2 en Pallister's rivals are : Steve Bruce ( Manchester United ) ; Stuart Pearce ( Nottingham Forest ; Paul McGrath ( Aston Villa ) ; Gary Lineker ( Spurs ) ; Ray Houghton ( Liverpool ) . 21 4, 4, 1, 4, 4, 4, 4, 4, 4, 1 3.4
+MOP2 en ‘ This shows the company didn't learn anything from this lesson . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Here we have an uninterrupted view of the prospect , and what a glorious prospect it is , stretching far away for many miles on every hand . 25 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4 3.4375
+MOP2 en Two years before , two TA soldiers met at an Army open day . 12 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.57142857143
+MOP2 en Orthodox Judaism continues to teach an elaborate separation of the menstruating woman from contact with the men of her family . 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en A recent architectural survey revealed problems at the 60-year-old Salutation Church in Salutation Road . 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The fireplace in question was set into a huge thick wall that partly divided the main room . 17 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4 3.47058823529
+MOP2 en It is a brave move to start afresh in a garden , and a sure test of one's design talents . 19 4, 4, 4, 4, 4, 1, 4, 1, 1, 4, 4, 4, 4, 4, 1 3.2
+MOP2 en Liverpool won early popularity as a result of Britain's military victories in the Peninsula , just as Mr Major's reputation was enhanced by the Gulf War . 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The EEC has banned BST until further research has been completed . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en This deliberate emphasis on the young people's unreliable and hurtful past relationships poses a dilemma for residential workers . 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ As far as I can see we can either go for Dersingham or for the man himself . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.8
+MOP2 en Distinction is drawn between existence of licence and its ceasing to have effect . 13 4, 4, 1, 1, 4, 1, 4, 4, 1, 1, 4, 1, 4, 4, 4, 4 2.875
+MOP2 en Turn them into public gardens and you create an attraction instead of an eyesore . 14 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.8
+MOP2 en Mr Hawke last week repeated his support for the airlines recruiting new pilots overseas and re-hiring their former pilots on individual contracts . 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.78571428571
+MOP2 en In February , councillors refused to allow a variation of the hours . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Nine schools in three Midlands LEAs , will be identified for in-depth study , following a questionnaire survey . 16 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4 3.57142857143
+MOP2 en It is when the claim to neutrality is seen , as it must be , as a sham that damage is done to the judicial system . 24 4, 1, 1, 4, 1, 1, 4, 1, 4, 1, 1, 4, 4 2.38461538462
+MOP2 en Some of the trees , the vegetation and the animals were mechanical creations of Mirage Enterprises . 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en I say he because that is what I think of , though it could be they or even she . 18 4, 1, 4, 1, 1, 4, 4, 1, 4, 1, 4 2.63636363636
+MOP2 en They are scripted for NCR System 3000 , Sun , HP DECstation and IBM hosts . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4 3.64705882353
+MOP2 en The sequel arises from Hook's Barrie-esque determination to usurp another man's family , and from the modern man's fear of the child within himself . 23 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1 3.47058823529
+MOP2 en He looked from one tired face to another . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Invite the person closest to you to give you some honest feedback on the degree of diplomacy you exhibit . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en There is little scope and seemingly no consideration for a contract by the valuer as principal . 16 1, 4, 1, 4, 1, 4, 4, 4, 4, 1, 4, 1 2.75
+MOP2 en ‘ Oh , it's not so bad , ’ Charles offered feebly . 8 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en And the programme ended as it dropped onto the fire to a chorus from the rest of Alf's family of ‘ unclean , unclean ’ . 22 4, 1, 1, 4, 4, 1, 1, 1, 4 2.33333333333
+MOP2 en John Taylor was an itinerant craftsman who came from Oxford in 1839 to recast the church bells at Loughborough . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ What are you going to do next about Tweed ? ’ 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Be flexible , if necessary suggest that more time should be devoted to an item at a separate meeting . 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en It was originally published by the American company Houghton Mifflin ) . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.78571428571
+MOP2 en For the truth is that no single agent affects our planet as much as we do . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Glass exploded and shattered all around it as the storm wind and rain blasted down the corridor at them . 19 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 en Lay participation in the running of the service was reduced ; in its place community health councils were created to represent the public . 22 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4 3.35714285714
+MOP2 en The borrowers , Mr and Mrs Clothier , had a £225,000 advance on their home in Silverdale Avenue , Walton-on-Thames . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.8
+MOP2 en Rachel sat in tense silence beside the detestable Damian Flint . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Fat couples in vacation plaids , bouncing about like toddlers in the low g and cooing over the moondirt souvenir jewellery . 20 1, 4, 4, 4, 4, 4, 4, 1, 1, 4, 1, 4, 4, 1, 1, 4, 4 2.94117647059
+MOP2 en The Presidential Council initially appeared designed to supplant the CPSU central committee politburo as the main centre of political decision making in the Soviet Union . 25 1, 4, 4, 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 4 3.2
+MOP2 en The hon. Gentleman said that the proposal was half-baked . 9 1, 4, 1, 1, 1, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 2.94117647059
+MOP2 en The transporters are designed to withstand accidents and until recently the Govenrment ruled out any possibility of a radioactive leak . 20 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.82352941176
+MOP2 en I knew that there had to be a wound : she had not been drowned or strangled or poisoned . 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en We are firmly committed to equal treatment for men and women in pensions . 13 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 en The poison is seldom dangerous but anyone who has accidentally trodden on a sea-urchin while bathing knows how painful the swelling can be . 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Luckily for us simple folk the game plot is very straight forward . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.8
+MOP2 en They will report to a board headed by Sir Robert Telford , chairman of Marconi , a subsidiary of the ubiquitous GEC group . 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Let us take the motion of A and B to be non-relativistic , so that . 14 1, 1, 4, 1, 1, 4, 4, 4, 1, 1, 4, 1, 1, 1, 1, 1 1.9375
+MOP2 en The cessation of hostilities was agreed in principle . 8 4, 1, 1, 4, 4, 4, 1, 1, 1, 4, 4, 4, 4, 4 2.92857142857
+MOP2 en A training allowance and travelling expenses for the 16 weeks of the programme . 13 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 1, 4, 4, 1, 4, 1 3.0625
+MOP2 en Consider the different cell types , such as muscle , skin , gut , and nerve . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Bridget reported that the numbers for the Easter Course were much lower than at the previous courses held at Avery Hill . 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Single room £4.00 per night , extra night £16.00 per night 8 4, 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.53846153846
+MOP2 en ( 13 ) , who similarly were unable to detect a P3A + α subunit transcript in muscle of chicken , calf or mouse , mouse thymus or torpedo electric organ . 24 4, 4, 1, 4, 4, 1, 4, 1, 1, 1, 1, 4, 4 2.61538461538
+MOP2 en ‘ Because the area round Cullbridge is awfully rich in rare species . 11 1, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 1 3.25
+MOP2 en In a cold , late spring it may prove difficult to graze off the rye in time to work up a good tilth for mangolds . 24 1, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.6
+MOP2 en We thoroughly enjoy Dogs Today and try to pass on all the right things to do to our present scallywag , Monty , but he's not impressed . 25 4, 1, 4, 4, 4, 4, 1, 4, 1, 4, 4 3.18181818182
+MOP2 en You'll receive a distinctive personalised Club card with which you can claim you Air Miles at participating Shell Stations . 19 4, 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.6
+MOP2 en ‘ The idea is to make it easier and try to get a good picture of how they feel about their own health . 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en In almost all investigations of any size , one investigator can be occupied full time taking statements during the first few days after the accident . 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Right now , Kendall is not back at the aristocratic Everton he knew seven years ago . 15 4, 1, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4 3.2
+MOP2 en Australia would be happy if the accord led to the reopening of the Panguna copper mine , one of the world's biggest . 21 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.45454545455
+MOP2 en It is forecast to fall to 15% in April . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.8
+MOP2 en Despite net assets up 35% to £458 million at Stanhope , the city is unimpressed with the sector . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4 3.6
+MOP2 en Because a source less abundant and less generous than this river had dried up ? 14 1, 4, 1, 4, 1, 4, 4, 4, 4, 4, 4, 4, 1 3.07692307692
+MOP2 en The C and Ku bands , 4GHz to 6GHz and 11GHz to 14GHz respectively , are now heavily used . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en These aspects of political choice are still important but less so now than in the past . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.8
+MOP2 en She made you look a bit of a fool in front of anyone else who was watching . 17 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.75
+MOP2 en If so , they hadn't expended much on a decent script . 10 4, 4, 4, 4, 1, 4, 1, 1, 1, 1, 4, 4, 4, 4 2.92857142857
+MOP2 en What was that odd note in Nick's voice ? 8 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 en Pam and Errol have two children , aged 13 and 16 . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en What about learning how to change things for the better rather than merely learning to adapt to the way things are now ? 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.76923076923
+MOP2 en ‘ It was thought — everyone assumed — she would marry in her turn , and that would be the end of it . 19 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en The personnel manager studied resource management at college and joined the company as a line manager . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Much now depends on how active a role the US is prepared to play to chivvy Israel along to respond to the Egyptian proposals . 24 4, 4, 1, 4, 1, 4, 4, 4, 4, 4, 1, 4, 1 3.07692307692
+MOP2 en ‘ Sometimes I wonder how he passed his 0-levels , ’ Daddy said as we crawled over the cobbles and out of the village . 21 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.53846153846
+MOP2 en At the Houses of Parliament , the cry goes up : ‘ Burn it down . ’ 12 4, 1, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.53846153846
+MOP2 en This is more representative of the nature of R&D projects than is the single date often given as the result of a PERT plan . 24 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.6
+MOP2 en These involve much more open and distance learning and the creation by photocopying and electrocopying , of ‘ customised ’ packs of materials for students . 22 1, 1, 4, 1, 1, 4, 1, 1, 1, 4, 1, 4 2.0
+MOP2 en It seemed impossible that anyone could survive in the middle of that storm of blades . 15 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.6
+MOP2 en When women were given artificial moonlight for three consecutive nights once a month , their cycles became synchronised to the lunar rhythm . 21 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en Admittedly , he was not driven by the same devoutly mercenary ambitions of some of his colleagues and sought artistic satisfaction wherever possible . 22 4, 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.5
+MOP2 en With snow in plentiful supply we have a special section in this issue for those of you who want to get off the piste . 24 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4 3.30769230769
+MOP2 en In other words the generalist administrator calls upon the economists , the statisticians , etc. for information but it is the generalist who is ‘ on top ’ . 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.82352941176
+MOP2 en ‘ Long enough to know my own worth , ’ Gina retorted , irritated by the sardonic gleam in his eyes . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.72727272727
+MOP2 en You're afraid , both of you , that I might discover Mom isn't dead at all , aren't you ? ’ 16 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.5
+MOP2 en The SORP recommends the same for local authorities and gives examples of accounting policies to be commented on . 18 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4 3.53846153846
+MOP2 en Having decided he must again race the tide , he began a desperate cumbersome run along the edge of the trough towards the breakwater . 23 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en The birds could pose a serious health risk for people who eat them in north Africa and southern Europe . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en After a month , the pain began to ease slightly and Lisa was able to get up to her own room with Janet's help . 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en These problems , coupled with the Conservative government's free market philosophy , led to a move back towards more market related official rates in the early 1980s . 25 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 en The goodwill figure in such cases can be derived from the average net profit margin per gallon , multiplied by the daily throughput . 22 1, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.6
+MOP2 en He also had claims to be considered a genuine all-rounder , having played many attacking innings in the lower middle order . 20 4, 1, 4, 4, 4, 4, 1, 1, 4, 1, 1, 4, 4, 1 2.71428571429
+MOP2 en It was a naturally sheltered basin , a trick of the undulating meadows along the Comer . 15 4, 4, 4, 1, 4, 4, 1, 4, 4, 4, 1, 1, 4 3.07692307692
+MOP2 en The course offers basic all round training in communication theory , particularly geared to the African context . 16 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.72727272727
+MOP2 en Then , slowly at first , he began to prepare the little boy for this possible destiny . 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.76923076923
+MOP2 en My German worked like a dream , like a brilliant robot you switch on and stand back and admire as it does all the hard work . 25 4, 1, 4, 1, 1, 4, 4, 4, 4, 1, 4, 4, 1, 4 2.92857142857
+MOP2 en Jess — her blunt nose coming in contact with Samson's hand as she coiled round — bit him . 16 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.5
+MOP2 en A good deal gives me the feeling that I have been for a nice seven-day trip to the Bahamas . ’ 19 4, 1, 4, 1, 4, 1, 1, 1, 4, 1, 4, 4, 1 2.38461538462
+MOP2 en It is excellent for skiing since lateral jumping movements can be used , the calves get well stretched and you also develop posture , balance and co-ordination . 25 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en The biggest area where the Renault scores is comfort and equipment . 11 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 1 3.18181818182
+MOP2 en Any earlier wheel-pit on this site could however , either have been demolished and rebuilt , or enlarged to take the new wheel . 21 4, 1, 4, 1, 4, 4, 4, 1, 1, 4, 1, 4, 4 2.84615384615
+MOP2 en Along their flanks are arrays of proprioceptors which in part act like external arteries . 14 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.75
+MOP2 en North Harbour coach Brad Meurant said : ‘ Everybody helped their mates . 10 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 en This year Marks and Spencer has leapt to the top slot , Shell is now second and Glaxo third . 18 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4, 1, 4 3.35714285714
+MOP2 en Highly explosive eruptions of gas-charged magma originating in the upper mantle produce small , shallow craters called maars . 17 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4 3.4
+MOP2 en Risk of change in the expected rate of long-term growth of the economy . 13 4, 4, 4, 4, 4, 1, 4, 1, 4, 1, 4, 4, 4, 4, 4, 1 3.25
+MOP2 en She stood outside the lifts in the hospital's main entrance with other visitors . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en A similar picture emerges in relation to the distribution of gross earnings among female manual workers . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Solicitors and suitably qualified Fellows of the Institute of Legal Executives . 11 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 4, 1, 4 3.14285714286
+MOP2 en Such an Order had to be laid before Parliament and was there debated on 6 December 1977 . 17 4, 4, 4, 1, 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.4
+MOP2 en ‘ Yes , well , I always thought Augustine was a bit simplistic in his ideas , ’ said William , waspishly , as if he was talking about a rival academic . 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The origins of Brazil's export success in military trainers and small civilian aircraft were quite different . 16 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en To my officers , it says why should we bother . 9 4, 4, 4, 1, 1, 1, 1, 1, 1, 4, 1, 4, 4, 1 2.28571428571
+MOP2 en Her Royal Highness travelled in an aircraft of The Queen's Flight and was attended by Mrs Harry Cotterell . 18 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en In the last two years of the war I was in orbit visiting every station and squadron in my endless quest for Pathfinders . 23 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.76923076923
+MOP2 en The EC does not concern itself with national health or education policies . 12 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en The leader makes all the decisions and issues instructions , expecting them to be obeyed without question . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Our investigative researchers ventured into the centre of London to find out if High Street shops are dog-friendly and if they're not , why not ? 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1 3.6
+MOP2 en Now I understand why they paid Macaulay Culkin $3 million — he earned it . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en It is to such character string formats that we now turn . 11 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.625
+MOP2 en ‘ He has been with me too , Brother , ’ Tundrish replied simply . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en He had registered with warm approval the tears of Antiochus III , when the rebel Achaeus was brought to him "" bound hand and foot "" ( 8.20.9 ) . 24 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1 3.53846153846
+MOP2 en Of 18 patients who were alive at short term follow up ( mean ( range ) 19.4 ( 10–33 ) months ) , 14 were still alive in 1992 ( 69 ( 61–83 ) months ) . 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.75
+MOP2 en The second approach can be a very productive strategy in a foreign language too . 14 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 en He took the gun and went to the door , checking that the horse and cart were still safely tethered . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en I did not know how many species of trees there were , maybe more than 1,000 . 15 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 en Front sash window , original fireplace , built in single wardrobes , radiator , power points , stripped wooden floors . 15 4, 1, 1, 4, 4, 4, 4, 1, 4, 4, 4, 1, 1 2.84615384615
+MOP2 en The global level of HIV infection was expected to rise to 15-20,000,000 by 2000 , of which at least three-quarters would be in the developing world . 25 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 en The result has been to destroy much of the progress in health care over the years preceding each dispute . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Woil's escape was over , and it had all taken less than a minute and a half . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Laughter gleamed in his eyes as he met her belligerent stare . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en They were only minutes from the railway station , the service was frequent . 12 4, 4, 1, 4, 4, 4, 4, 4, 1, 1, 4, 1, 4 3.07692307692
+MOP2 en Perhaps most significantly of all , three of boxing's all-time greats — Ali , Robinson and Armstrong — were born into comfortable circumstances . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.8
+MOP2 en The Halifax Building Society , where the bombers had placed their device , is now a heap of rubble . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en There's no other catalogue quite like the OXFAM Christmas catalogue . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ Unless there are more resources pumped in , this is going to happen , ’ she said . 14 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 en It was a way of thinking and behaving . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ Yes , ’ she said briefly , and for a few moments they studied each other . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en On a slow surface , both sets of bowlers bowled straight , and the batsmen were loath to take risks to break up their line . 23 4, 1, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4 3.30769230769
+MOP2 en The parts of the statute are arranged in three groups . 10 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en Strangely , his only international appearance was for the English against the Scottish League in 1914 . 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en It's Saturday night and they may not come . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Throughout the discussions information provided by the other sites is kept confidential . 12 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.4375
+MOP2 en In a number of instances reminders were required ( both written and by telephone ) . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en As Montagu ( 1976 ) has stated again and again , the social activity of war need have no relationship with the inner state of aggression . 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.8
+MOP2 en That , then , is the theory — but how does it work out in practice ? 13 1, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.5
+MOP2 en However , things can look rather different from the angle of those just above the exemption limit . 16 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.6
+MOP2 en Repeating what they hear , women on the right claim that something called "" Salvadorean democracy "" is in danger . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.76923076923
+MOP2 en Table I summarises the clinical features of these patients . 9 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 en Further information from S. S. Langer , RSC , Burlington House , Piccadilly , London W1V 0BN . 13 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4 3.53846153846
+MOP2 en The Jarisch-Herxheimer reaction , usually shortened to the ‘ Herxheimer ’ reaction , follows the initial dose of treatment of syphilis in a proportion of cases . 22 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en Ideally this will not be necessary if those who send them have a vision for and support the work financially . 20 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1 3.53846153846
+MOP2 en Looking around the room , at the old , worn furniture , I realized that Herbert must be very poor . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.8
+MOP2 en They will be joined by John Tierney and John Kerr . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Yet the trophy sits in Jim's office at Peel Park and will stay there . 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Homology searches of the Leeds and Swiss protein data bases failed to detect any significant similarity with any other protein . 20 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.7
+MOP2 en ‘ It could have something to do with Angy's murder . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Ranchers , who see themselves as the guardians of the west , say that grazing generates economic stability and feeds the nation . 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en This man was buried here in the fourth century . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en They start to question , and they start to dream . ’ 9 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 en A water softener works on the principle of ‘ ion exchange ’ . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Steve Jones ( he speaks specifically about Jones' zealous christianity ) : "" A lot of people are simply uncomfortable with some people's "" over-religiosity "" or whatever you call it . 25 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.6
+MOP2 en He looked up at Athelstan , his face beaming with pride . 10 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.75
+MOP2 en We want to give the children positive memories which they can draw on during the difficult times at home to build a better country . 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ The PLO tried to sabotage the departure of the Muslims . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en MOTOROLA GETS THE GLOVES OFF IN BATTLE WITH ITS OLD RIVAL , PRICES POWERPC PRICED TO BEAT PENTIUM 17 1, 4, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 4, 1 1.85714285714
+MOP2 en Mutalibov told Izvestiya , from his hiding place in Russia , that the charges were political persecution . 15 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en My proposition , I assure you , would be to our mutual benefit . ’ 11 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.8
+MOP2 en Only in John's Gospel does he make one curious and profoundly interesting statement . 13 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en They were returning from a day's repair and construction work at an army base in Omagh . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Inside the top hotels all is First World ordered calm : state-of-the-art swimming pools , satellite television and chocolates on the pillow at night . 22 4, 4, 1, 4, 1, 4, 1, 1, 1, 1, 4, 1, 4, 4, 4, 4, 1 2.58823529412
+MOP2 en It seems strange to extend the hand of friendship and economic co-operation to the same countries that we are threatening with mass extermination . 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The buildings were transformed rather successfully into a gallery for Bohemian art by František Cubr and Josef Pilar , in the 1960s . 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en But the other part cried out against the mere idea of her being someone else's wife . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.75
+MOP2 en These problems or investigations are expected to be diverse . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1 3.57142857143
+MOP2 en Between August 1975 and December 1978 the COS-B satellite observed 2CG342–02 on five occasions and catalogued it as the tenth-strongest γ -ray source . 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Not like a Saturday night at all though , not really . ’ 10 4, 4, 4, 1, 4, 4, 1, 1, 4, 1, 4, 4, 4, 4 3.14285714286
+MOP2 en Hopeful for what he will not miss when it fails 10 4, 4, 4, 1, 4, 1, 4, 1, 4, 1, 4, 4, 4 3.07692307692
+MOP2 en And what would you have done if Schemichal got hold of you and threw you off the pitch like last night ? 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en I should add that in argument he also invited my attention to paragraph 5(7) and I will refer to that : 20 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1 3.18181818182
+MOP2 en Once I was pleased with the bottom group I copied it , as a mirror image , at the top of the picture . 21 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1 3.4
+MOP2 en From then , the path to the double helix was clear . 10 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.5
+MOP2 en Sun is also preparing its Scorpion eight-way Sparc desktop machine for launch at the SunWorld show on May 11 . 19 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 4 3.4
+MOP2 en Therefore political and economic accounting of the costs and benefits of soil conservation programmes for others outside the directly affected areas is potentially relevant . 24 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 en Does he further agree that there is a need to reopen neighbourhood police stations and to put more emphasis on community policing ? 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.8
+MOP2 en A fortnight later Edward sealed the text and issued it to all sheriffs . 13 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 4 3.57142857143
+MOP2 en Since then , it has been as keenly followed as many full-length TV programmes . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.78571428571
+MOP2 en Questionnaires sent by post are not returned and interviews are refused . 11 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.75
+MOP2 en The operation will eventually involve more than 35,000 troops from at least nine countries . 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en UI will no longer be just a requirements body or a marketing arm for USL . 15 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4 3.53846153846
+MOP2 en Before explaining how to tackle a course race it is worth looking at what makes one sailor go faster than another . 21 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en Only there was nowhere else she could go . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Though his features looked as if they'd been carved from stone , in the depths of his gaze something stirred . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en On both topics , however , the status quo has changed radically compared to 1979 . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en These percentages were not uniform across the country : local specialities dictated what was available . 14 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en ‘ I can't hear anything , ’ said the chaplain angrily . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ We may never know the exact number of deaths . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en These were rejected on April 17 and 18 respectively . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Women , Art and Society is a synthesis of work that has been progressing for twenty years about women and the visual arts . 22 1, 4, 4, 1, 4, 4, 4, 1, 4, 1, 1, 4 2.75
+MOP2 en At his own expense he established no less than twenty-two charity schools in Pembrokeshire alone . 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Soil deformation during a quake could bend pipelines as though they were strands of copper wire . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Within a few days of his election he already knew that the way to realize this ‘ new Pentecost ’ was an Ecumenical Council . 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.78571428571
+MOP2 en To follow Jesus as his disciples means that we too face opposition to living like him . 16 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 4, 4 3.53846153846
+MOP2 en His wheels ran into the wet turf and the whole machine crumpled and fell to its knees like an animal shot in the chest . 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Jenna stopped and faced him angrily , but before she could speak he tilted her face with a strong brown hand . 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Next day one of 252 Squadron's newly-arrived Beaufighters ( T3237 ) was mistaken for a Ju88 while on a local flight . 19 1, 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 1, 4, 1, 4 3.0
+MOP2 en Carrington watched the sea for the first two hours , enchanted by the Scandinavian night , then went to sleep . 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en It was originally recorded as a cot death and there was no inquest but there will now be an inquest . 20 4, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.57142857143
+MOP2 en The pictorial composition of your shots is one of those areas where rules have grown up which , though seemingly arbitrary , actually work well in practice . 25 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 1, 1, 1 2.84615384615
+MOP2 en It was a far cry from the golden court of the City of the Horizon . ’ 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ Political in the sense that if I threw this glass of water over you in an interview , that would be a political act . 23 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.5
+MOP2 en ‘ So you're going solo now , ’ said the victim , fumbling for her smokes again . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Here are ten assorted uses for this book ; 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.8
+MOP2 en ‘ Still in deep , old Michael , I should imagine . 8 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 4 1.92307692308
+MOP2 en One sports injury on the increase is sportsman's , or Gilmore's groin which occurs when tendons in the groin tear due to excessive stretching and twisting . 25 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.5
+MOP2 en The main difference between sections 18 and 20 lies in the fault element , and it is a considerable difference . 19 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 en Ideal for a small flat , the washer/dryer is as sophisticated as the one in the main house's utility room . 19 4, 4, 4, 1, 4, 4, 4, 4, 1, 4, 4 3.45454545455
+MOP2 en Robbie saw now that he was a clergyman . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The deputy chairman of the council of ministers , Boris Shcherbina , forbade evacuation of the countryside around Chernobyl until a government commission had arrived from Moscow . 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The weekend was associated with an increase in volatility , in accordance with expectations . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en All she had to do was get a good night's sleep . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.78571428571
+MOP2 en A TOWN farm is ploughing ahead with fundraising schemes to help handicapped people and plans to roof in a riding area for the disabled . 24 4, 4, 1, 4, 1, 4, 1, 4, 4, 1, 1, 4, 1, 4, 4 2.8
+MOP2 en ‘ All credit to Gavin gave me the ball in the end , with a little persuasion . 15 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.6
+MOP2 en The first drafts of The Prelude were written in Germany during the winter of 1798–9 . 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Soldiers will no longer be given free cigarettes . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en They came to the kind of unspoken understanding real twins enjoy . 11 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.7
+MOP2 en ‘ Harbury's the crime man , ’ said a voice , ‘ what's his opinion ? ’ 10 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 1, 4 3.2
+MOP2 en Dustin's neat Beatle cut is slightly tousled and there is a close-up of a mole on his right shoulder . 19 4, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 4 3.53846153846
+MOP2 en By the late 1940s there was a wider range of prepackaged grocery lines available , and improvements had been made in the quality of packaging . 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en After the starkly factual ‘ Headpiece filled with straw ’ comes that most absurdly poetic word of all , indicating the speaker's weakness . 20 1, 4, 4, 1, 4, 1, 4, 1, 4, 1, 1, 4, 1, 1 2.28571428571
+MOP2 en ‘ I thought it was some weirdo and when I asked who was calling the voice yelled : ‘ It's me ! ’ 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ I shouldn't , ’ the attendant said , but then smiled broadly . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ Well , it's not a bad idea , is it ? 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The beauty of glass , he wrote , is this , that the surface does not have to be covered . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1 3.53846153846
+MOP2 en The Cougar mould was last used about 8 years ago and is past its best ; he suggests the Mirage is similar to the Cougar . 24 4, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 4 3.53846153846
+MOP2 en ‘ I'd better have a word , ’ said the Brigadier , withdrawing his head and opening the door . 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Some slogans and ideas from the ‘ Democracy Wall Movement ’ of 1978–79 received another brief hearing during these days . 18 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en The Metropolitan Police settled in the High Court the damages claim of cameraman Mr Anthony Walsh , whose spine was injured during the Wapping dispute . 24 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 en ‘ If I get another couple of shillings out of it , haven't I earned them ? 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ We have a tail already locked on to Tweed . 9 4, 1, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1 3.07692307692
+MOP2 en He turned , stiff and cold , to see an anxious young man , blond cropped hair , worried eyes and pock-marked face . 19 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 1, 4 3.35714285714
+MOP2 en A durable well constructed store is therefore indicated . 8 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4 3.30769230769
+MOP2 en Fill gaps , identify queries and note points for immediate follow up . 11 1, 4, 4, 4, 1, 4, 1, 4, 4, 1, 4, 4, 4, 1 2.92857142857
+MOP2 en And he blows the smoke back into my mouth . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The genetic spray was described as a very exciting development by another of the team's scientists , Dr Julia Dorin . 19 4, 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.57142857143
+MOP2 en The old Highways Yard in Rigby Road with its railway connection , seemed to offer an ideal site . 17 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.72727272727
+MOP2 en Jodami and Rushing Wild jumped the last together , and Jodami found the vital extra gear to edge away . 18 4, 1, 1, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4 3.07692307692
+MOP2 en Is it possible to see private affluence co-existing with corporate poverty ? 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en One of Jay's drawled phrases , as she pubbed and clubbed and waded through hung-over mornings of coffee and endless cigarettes , was ‘ I'm a night-owl , honey . ’ 25 4, 1, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4, 4 3.30769230769
+MOP2 en Villagers fight to block sale of ancient common 8 1, 1, 4, 4, 4, 1, 1, 4, 4, 4, 1, 4, 1, 4 2.71428571429
+MOP2 en There are various ways in which a recovery can be obtained : — 11 4, 4, 4, 1, 1, 4, 4, 4, 4, 4, 4 3.45454545455
+MOP2 en ‘ By the road , it seems a long way , but I need only to walk a kilometre across the fields beyond the farm . 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.78571428571
+MOP2 en And Notes from Underground is precisely such a fable of disembodied consciousness . 12 4, 1, 4, 4, 1, 4, 1, 4, 4, 4, 1 2.90909090909
+MOP2 en We got our film crew and sat Robin down in front of our rushes . 14 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4, 4 3.35714285714
+MOP2 en Conservative candidate Robert Goodwill , has written to Labour's Marjorie Mowlam asking her to clarify her personal position on the nuclear defence capability of the country . 25 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en The Arab masses , indignant at the western humiliation of Saddam Hussein , were expected to rise up against their pro-western leaders . 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en SOME of America's most powerful men are worried sick after the theft of an address book belonging to New York's most notorious madam . 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Neil Cossons , the director of the Science Museum , is confident the old numbers can be restored . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en However , students taking resit examinations for exceptional reasons , such as an examination missed through illness , are usually allowed to count the full marks earned . 24 4, 4, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.6
+MOP2 en It would be a good exercise to compare this electrical system with the purely acoustic string telephone in Part 1 ( November , 1991 issue ) . 23 4, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4 3.4
+MOP2 en AID TRIP GIVES PUPILS A LESSON IN THIRD WORLD POVERTY AND FEAR 12 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 1, 4, 1, 4 3.11764705882
+MOP2 en She noticed his fingers were trembling , and her anger faded , replaced instead by a wild and optimistic hope . 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en In the jargon of quantum mechanics , this choice of behaviour is called the statistics obeyed by the particle . 18 4, 4, 1, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1 3.29411764706
+MOP2 en You can format your spreadsheet manually , or design your own speedformat routine . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en He came to an arrangement with two more actors , gave the camera crews some private pocket money and turned the film over to his assistants . 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en CELIA ALMOST WELCOMED the idea of going to work . 9 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.625
+MOP2 en I can only suppose that my name had respectable associations , and he thought it might allay criticism in what might be called Athenaeum circles . 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ Earth to earth , ashes to ashes , dust to dust … ’ 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ It so happened that No 5 Air School was not far away from the mine where Churchill hid during the Boer War , ’ Clifford recalls . 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.8125
+MOP2 en I enjoy working things out with numbers , e.g. how much wallpaper or carpet I need to buy 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Not only will the test be easier in the future , but it should also be cheaper too . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en I then turned the picture round and completed the other two sides . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en If so , could they share the knowledge with us ? 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en U2 LAST night unveiled their stunning new video Interference at a spectacular bash at London's Planetarium … 16 4, 4, 1, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.53846153846
+MOP2 en But Mr. Leggatt hoped that the lack of space for burials would not lead to restrictions in the future . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en My social worker who gave me advice asked if I wanted adoption or fostering , and I said fostering ( it was a white family ) . 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4 3.57142857143
+MOP2 en The results clearly show a high prevalence of oesophagitis in the adult asthmatic population . 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en For this reason it was really only suited to the manufacture of plywood , for which it was immensely successful . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en But I guess they have got something to point to if they've built good roads and railways and so on . 20 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en ‘ Can you name the disciples ? ’ asked one journalist . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Tom-Frode , Odd-Knut and Tony wait for us to arrive . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The white lines show the body's electric force which energy-giving crystals can tune into 14 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 en One of the American networks wants to do a television interview . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Guinness provides financial support to organisations engaged in medical research , health , youth , environment and conservation , employment and enterprise trusts , education and the arts . 23 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.82352941176
+MOP2 en A gang of Muslim extremists believed her story , and the results were dire . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The rain which would turn their campground to mud , and fill the cisterns of Famagusta . 15 4, 4, 4, 1, 4, 1, 4, 4, 1, 1, 4, 1, 4 2.84615384615
+MOP2 en Questions can be asked by The Speaker ( see below ) or the player who has just thrown ( or would have just thrown ) 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The second limiting factor was less immediate , but of greater potential impact . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Once the nest is completed , the male sets off in search of a female . 14 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 en of them revealed that they had been the victims of marital rape . 12 1, 1, 1, 1, 1, 4, 1, 1, 1, 4 1.6
+MOP2 en The government has plans to reverse the process by reforestation and investment in projects of sustained development . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en He does not deign to compare the British and the French railways . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Lay the child on his back , turn his head and remove any debris in his mouth with your finger . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Strach may be 37 , but who gives a shit really ? 10 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 en In return , the Church cut a somewhat uncertain figure . 9 4, 4, 4, 1, 4, 4, 4, 1, 1, 1, 4, 1, 4, 4, 1, 1 2.6875
+MOP2 en However it is almost certain that the offer will be rejected . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Mr Stolpe said East Germans had recently discovered their power , and Mr Krenz had not succeeded in restoring the leadership's credibility . 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Smiling , Harry put the letter back in its envelope . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.75
+MOP2 en Leicestershire is the only county to account for its distributions from the TCCB on a cash as opposed to an accruals basis . 22 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 en It'll look great on the beach , as an evening top under a pretty blouse or under a jacket for work . 20 4, 1, 4, 4, 4, 4, 1, 1, 4, 4, 4, 4, 4, 4 3.35714285714
+MOP2 en They also read representative works in traditional and modern Chinese history , literature , philosophy and religion . 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en If you'd prefer a sleek , brass finish , the Brass Dream fire by Valor is a good choice and costs about £399 . 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.8
+MOP2 en ‘ If you did that , then it is just about the greatest miracle a person has ever performed since the time of Jesus . ’ 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.78571428571
+MOP2 en She kicked something in the gloom , and stopped briefly to pick it up . 13 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 en ‘ I'm just back from India , ’ he announced importantly . 8 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en It is the sort of place where you find a different object of interest every time you go back . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en McLaren keeps his own counsel , being as reticent as Ferguson is gregarious . 12 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 en She'd made one final attempt on the Archdeacon before departing . 10 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4 3.4
+MOP2 en Air show : The famous Red Arrows are to provide a grand finish to the Southport Air Show . 17 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 en Add the grated orange rind and juice , eggs , sugar , cornflour and ginger . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en A path led up from where they stood , its stone flags worn and broken , its progress hidden here and there by moss and weed . 24 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4 3.57142857143
+MOP2 en If there's a younger referee than me it'll prove that someone has got real guts . 15 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 en The mannikin ran in front of Cranston , jumping up and down . 11 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4 3.35714285714
+MOP2 en R4 THIS MORNING SAYS DON HOWE IS ANOTHER LIKELY CANDIDATE TO TAKE US INTO THE NEW YEAR . 17 1, 4, 1, 4, 4, 4, 1, 1, 1, 4, 4, 1 2.5
+MOP2 en It is one of the ways in which the Spirit evokes prayer in the people of the Messiah . 18 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.75
+MOP2 en Such fundamentals should be the same for all . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Sega owners are bigger in the trouser department . 8 1, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 1, 4, 4, 1, 1 2.875
+MOP2 en I'm just sick of reporters tramping in and out , wanting to know her business . 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Or if you went into her kitchen and interfered . 9 4, 1, 1, 1, 4, 4, 1, 1, 1, 4, 4, 4, 1, 1, 1 2.2
+MOP2 en However , by 1976 , local councils in east London were able to publicize the advantages of their areas to industrialists . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en It may be the detailed description and prices of merchandise , details of a complaint , ideas for a new product , or whatever . 21 4, 1, 1, 4, 4, 4, 1, 4, 4, 4, 4, 1 3.0
+MOP2 en Japanese banks operating in London accounted for 28.5% of total lending from London in 1991 , American banks 15% , and other banks 40.7% . 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ I'm dying for a cup of tea , ’ Charlie announced . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en And are hoping for a Twickenham meeting with either Kidderminster Carolians or Hitchin in the finals . 16 1, 4, 1, 1, 4, 4, 1, 4, 1, 4, 1, 4 2.5
+MOP2 en This is an appeal by Swansea City Council against a decision of Judge Michael Evans Q.C. , given in Swansea County Court on 6 February 1991 . 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Who was Elsie and what had happened to her ? 9 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.75
+MOP2 en She stared into his eyes , and saw the suppressed hunger there , and her heart seemed to contract then swell inside her . 21 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 en A sense of well-being , of transformation and enlightenment , penetrates to the very marrow of his bones . 16 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 en — one of the control sample respondents possessed all three traits , and one-quarter two out of three . 16 4, 1, 1, 1, 4, 1, 1, 4, 1, 4, 1, 1 2.0
+MOP2 en wonder why you — But mibbe I should thank ma 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 en A somewhat thicker book , The Bernese Alps details the important region skirted by the previous book . 16 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 en Booming out of speaker boxes perched on the kerb , thundering from bars and shops , every corner has its own sound system . 21 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.75
+MOP2 en Young people's knowledge about the harmful effects of smoking is considerable ; those who take up smoking are not doing so purely out of ignorance . 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Tandem's annual revenues grew by 24 per cent to $1.6 billion . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Gwyneth Dunwoody stated that we were secretly dismantling the health service and Roy Hattersley muttered about contracting out old people like refuse collection . 23 4, 1, 4, 4, 4, 4, 4, 4, 1, 1, 4, 1, 4 3.07692307692
+MOP2 en Could a man who deserted his wife and child for another woman get off free without scars ? 17 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en If the French should take them and see them directed to such noted men , they might take care to send them to them . 23 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 4 1.4
+MOP2 en The Cats Protection League Bazaar , Parliament Room , Royal Baths Assembly Rooms , Crescent Road . 13 1, 1, 1, 4, 1, 4, 4, 1, 1, 1, 1, 1, 1, 4, 1 1.8
+MOP2 en Their discoveries have worrying implications for the 600,000 people thought to have been affected by the release of radiation . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.75
+MOP2 en It brings the twittering children , and the birds , 8 4, 1, 4, 4, 4, 4, 1, 4, 1, 4, 4, 1, 4 3.07692307692
+MOP2 en The consequences of this latter factor have been to at times lead to the definition of community care as ‘ non-hospital care ’ ( Parker , 1990 ) . 23 1, 1, 4, 1, 4, 4, 4, 4, 1, 4, 4, 1, 1, 1 2.5
+MOP2 en Viol tried to flag down another , but the driver ignored him . 11 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 en Graphically oriented programming tools , application programming interfaces and cross-application macro facilities will also be offered . 15 4, 1, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.625
+MOP2 en Thirdly , uncertainty now surrounds the future of the industry . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Had he not , as everyone knew , single-handedly raised and led an Arab army against the Turks ? 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The closest cooperation between the allocation officers and each unit manager is essential both in devising the plan and in the scheduling of holidays . 24 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.6
+MOP2 en ‘ There is no robust critique , no convincing body of evidence , no sign of learning from a decade of failure . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.78571428571
+MOP2 en Survival time was defined as the period between surgery and death . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.78571428571
+MOP2 en Mr Tadgell , 32 , rented a flat in Australia with Joanna as she progressed from a cleaner to a waitress at the casino . 22 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4, 4 3.4
+MOP2 en The Daurog moved about their business , eyeing Tallis with the same shivering caution as the evening before . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.78571428571
+MOP2 en Mr Jenks marched along the corridor , glaring wrathfully about him , and the children fell back on both sides without a murmur . 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Your detective of the detective story , of course , went about seeking information . 12 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 1, 4, 1 3.0
+MOP2 en So you're working on a peer-group political model of photography and meaning ? 12 4, 4, 4, 4, 4, 4, 1, 1, 4 3.33333333333
+MOP2 en The directives had no application to parliamentary proceedings or elections and allowed reported speech . 14 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en Crystal thought Berg was a newspaper reporter and she assured Rain : ‘ I didn't spoil your story by telling him MI something killed MacQuillan . ’ 23 4, 4, 1, 1, 4, 1, 4, 1, 4, 4, 4, 4, 1 2.84615384615
+MOP2 en Another street , also running approximately north-south , lay between it and Ryknild Street ; the branch north of the Tiddington road 19 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 1 3.4
+MOP2 en I congratulate you on the unambiguity of your situation . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ If you wish to avail yourself of the bathroom facilities , feel free . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 1, 4 3.35714285714
+MOP2 en The idea is to increase people's knowledge about the strength of drinks and weekly limits , and the link between drinking and health and fitness . 24 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.8
+MOP2 en When the Indians went hunting , whether for animals or for rival Indians , their firepower was deadly . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Facts speak for themselves , but only if executives are prepared to listen , are prepared to be convinced . 17 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1 3.35714285714
+MOP2 en In the preceding decade London and other large metropolitan cities recorded massive population losses ; medium-sized cities either lost people or experienced only slow growth . 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ After the demise of our great team in ‘ 86 we were building sand castles for a while — they were collapsing all the time . 23 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4 3.4375
+MOP2 en Amiss was stunned by the courtesy and curiously uplifted to find that not everyone in this establishment was like Colonel Fagg . 21 4, 4, 4, 4, 4, 1, 4, 1, 4, 4 3.4
+MOP2 en One in every six trees in Switzerland is showing signs of ill-health — double the level recorded eight years ago . 19 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.75
+MOP2 en LEFT : Painter and decorator Kevin Barton latched into this early 2 lb 14 oz plaice during a session at Lepestone Point in Hampshire . 23 4, 4, 4, 4, 4, 4, 1, 1, 1, 4, 4, 4, 4, 1 3.14285714286
+MOP2 en It has been estimated that 65 per cent of the deals are spot and the remainder are forward deals . 19 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4 3.30769230769
+MOP2 en As the mobs gathered , an assistant military attache asked Andrew about the pipe-playing episode in Reykjavik . 16 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.5
+MOP2 en This was a necessity to qualify for a later call to the Bar . 13 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.625
+MOP2 en ‘ Here he comes , look out for this guy . ’ 8 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.72727272727
+MOP2 en ‘ I hope you ain't gon na have a fit . 9 4, 1, 1, 4, 4, 4, 4, 1, 1, 1, 4, 1 2.5
+MOP2 en He could not go through it all again . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ Will you help us find out what happened ? ’ 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The distinction between equity and equality in the distribution and use of social services is crucial to the debate on health inequalities . 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en After I had my tea I would go to bed . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The comprehensive tour included barley purchase , intake , laboratory , steeping , germination , kilns and malt dispatch . 14 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en After all , he had managed to defeat the system and was in sole command of a small military unit . 19 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.8
+MOP2 en I think about G.P. holding me and caressing me . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1 3.53846153846
+MOP2 en ‘ I didn't want to be a superstar , I just wanted to be able to play well . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en LLOYD'S Register , the largest ship registration organisation , is being sued in America over a ship fire that killed 159 people two years ago . 23 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4 3.53846153846
+MOP2 en This is not to deny , of course , that crime and violence in contemporary society is an important social reality . 19 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en The administrative structure of Partnerships , with its heavy emphasis on co-ordinating different agencies , would in any case tend to inhibit the unorthodox . 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.8125
+MOP2 en We walked solemnly around Gloucester in and out of the Cathedral precincts while he told me about his childhood . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.75
+MOP2 en By comparison , companies in the 20-50 jobs bracket suffer from neglect , they say . 13 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en Within a few days of writing my planning notes a reasonable ( by UK standards ) day dawned . 16 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.53846153846
+MOP2 en Whether this autoantibody has direct pathogenic importance , as in Wegener's granulomatosis , remains to be determined . 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The incident received widespread television and press publicity , and prompted a civil rights march on 24 August from Coalisland to Dungannon . 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.76923076923
+MOP2 en It contains a general index to magazine features , a recipe index and an index to recipes in our popular , step-by-step cookery series , Secrets of Success . 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Anglers are blaming pollution for a fall in the numbers of fish in some sections of the Rivers Severn and Avon . 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Robin Child absolutely refuses to grade , and when O-levels gave way to GCSE with all its internal coursework and marking , he rejected it . 23 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.5
+MOP2 en Does awareness of rates of obstetric interventions change practice ? 9 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.57142857143
+MOP2 en Synergie Ultra-Gentle Eye Make-up Remover with extract of rose , is a light oil-free lotion with soothing properties , £2,99/200ml . 17 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.4375
+MOP2 en Stewart and Tait were more aware of the degradation of energy , moral as well as physical , and thus of the impermanence of the world . 24 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.625
+MOP2 en This rule is subject to a number of exceptions ( see Chapter 5 ) . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Malcolm is collecting old 10p pieces on behalf of his daughter for the Kidney Transplant Association . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en We are grateful to Ken Byron for setting up a much needed journal in Drama and Dance Education . 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Cycling was also definitely related to gastro-oesophageal reflux . 8 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 en True to this tone , Tom's tape is scientific analysis as opposed to bedtime bogeyman stories . 15 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.57142857143
+MOP2 en As was suggested in argument , that would indeed be to swallow the elephant and strain at the gnat . 18 4, 4, 1, 4, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1 2.0
+MOP2 en In desperation I took a typing course and moved fifty miles down the road to here , to the first job which would have me . 24 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 en At relevant moments Dr Banda waves his fly whisk . 9 4, 4, 4, 4, 4, 4, 4, 4, 1 3.66666666667
+MOP2 en Both were former members of the left-wing extremist Red Army Faction ( RAF ) . 12 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.82352941176
+MOP2 en But anyway ’ — her tone changed again — ‘ I'm grateful to you for your help . ’ 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Stokesley , indeed , possessing neither trade nor manufacturers , has no appearance of bustle or business , and is a place well adapted to retirement . ’ 22 1, 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4 3.2
+MOP2 en Although it is less damaging than the removal of bulbs and plants , consistent seed snatching can still effectively wipe out a species from a locality . 25 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.6
+MOP2 en Tickets from Sgt Gordon Parkin ( telephone 091567–6155 , ext. 6331 . 9 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.57142857143
+MOP2 en You think I'm joking about the Porsche , don't you ? 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en They expressed their fury with the godly in lewd ballads that echo through Underdown's story . 15 1, 4, 4, 4, 1, 1, 1, 4, 4, 4, 4, 4, 4 3.07692307692
+MOP2 en Religion : Christianity ( Bulgarian Orthodox Church ) ; Islam practised by large Turkish and smaller Pomak minorities . 14 4, 4, 1, 1, 4, 4, 4, 4, 4, 4, 4, 1, 1, 1, 1, 4 2.875
+MOP2 en ‘ There's no Black Dog here , ’ said the doctor . 8 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.75
+MOP2 en Learning a manipulative skill , such as typing , takes hours . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Our communal phone is on the hallway wall by the front door . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ They say you are a known homosexual ; we believe it , ’ added a third . 13 1, 4, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.30769230769
+MOP2 en A BALANCED CALCIUM INTAKE TODAY MEANS A HEALTHIER YOU TOMORROW 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ I thought I might go to America and help the anti-draft students around the Army camps , ’ he said . 18 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 en Other people apart from yourself and the candidate who may need to be taken into account when fixing a schedule are : 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 1, 4 3.4375
+MOP2 en Her mouth had formed the words before she realised . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Water temperature : The usual temperature range of 72°–76°F . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.75
+MOP2 en The first is a surface sore which starts off as a red mark . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en We are really struggling at this point in time , thinking , ‘ What are we doing , what are we about ? ’ 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4 3.6
+MOP2 en I don't think Chris and the band know each other well enough at the time . 15 4, 1, 4, 1, 1, 1, 1, 4, 4, 4, 4, 4, 4, 4 2.92857142857
+MOP2 en ‘ Donna , I said we should call the police . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en His description of their encounter conforms to the usual descriptions with the general's immense sense of presence and concomitant dramatic side-effects . 21 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.72727272727
+MOP2 en It likes damp , moist , airless places with a slightly more alkaline pH than is normally found in the vagina ( normally slightly acid ) . 22 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.75
+MOP2 en Bongwater's Ann Magnuson carries the incandescent incense stick for the even ; Kim Gordon's a carcinogenic Zippo on full flame . 19 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.27272727273
+MOP2 en But did you know that the preposterous programme had a ‘ Did you know ’ section that in the currency of football trivia proved rather less fraudulent . 25 1, 4, 4, 4, 1, 1, 1, 4, 4, 4, 4, 1 2.75
+MOP2 en Now that she was looking closely , she realised that most of the rooms in the house had two doors . 19 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 en If sources of income are not all taxed at equal rates , there is obviously an incentive to convert income into the untaxed form . 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en They both drank , conscious that it had been a long afternoon , and Shelley at least was thirsty . 17 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 1, 1, 4, 4, 1 3.0
+MOP2 en What happens if Bruce or Pallistar gets injured , have they any ( decent ) cover . 13 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 1, 4, 1, 1 3.0
+MOP2 en But with his mother arrested it was now up to him to take charge of the rebellion in Poitou . 19 4, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4, 4 3.4375
+MOP2 en But who knows , the illustrious Mr Punch may yet ride again at some time in the future . 17 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.64705882353
+MOP2 en ‘ Could that be pronounced Barry by any chance ? ’ 8 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.72727272727
+MOP2 en He takes to it as a duck takes to water . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Average household size has decreased from 3.09 in 1961 to 2.55 in 1987 and will continue to decline ( Table 2.6 ) . 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en The form by which the dialogue is represented is the one that best fits the mood and subject of the dialogue . 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en She had come to England from Berlin in the 1930s and had begun her studies at Central School of Arts and Crafts . 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en ‘ I'm tired of hearing complaints from the cook . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en Being one of Prince's chosen women has its drawbacks . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 en At least Ferdinando now knew a great deal of English , whatever she had said to Pen to make him feel important . 21 1, 4, 4, 1, 4, 4, 4, 4, 1, 4, 1, 1, 4, 1, 1 2.6
+MOP2 en As though he remembered his manners , he looked an invitation at Nicandra . 12 4, 4, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1 2.0
+MOP2 en ‘ Act Two — Beginners please , ’ said a tremulous voice from outside the door . 12 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 en Coming and going — there had been too much of that . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.8125
+MOP2 en Sow seed outdoors In spring , or divide the plants In spring , and allow 60cm ( 2ft ) between plants . 17 4, 4, 4, 4, 4, 1, 1, 4, 1, 1, 1, 4, 4, 1, 4 2.8
+MOP2 en This has now been cut from to 3% 6.7% , but according to chairman Mike Tilbrook , the remaining holding ‘ continues to show a useful paper profit ’ . 25 4, 4, 1, 4, 1, 4, 1, 4, 1, 4, 4, 4, 4, 4 3.14285714286
+MOP2 en Dexter guessed she was starting to share the same nagging sense of depression that had afflicted him since the end of the interview with Parkin . 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh We also have a dowry floor , Lincolnshire, was lovely in May . 11 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 zh My first real friend could be a boy called Adam . 10 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 zh She was wearing denim overalls , carrying buckets and brushes. 9 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 zh In the coming year , he has custody of Rochester Castle. 10 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 1 3.30769230769
+MOP2 zh Last Sunday for a cycle ride around Wirral Country Park Booking is essential, when the leadership is Cheshire ranger Barry Jackson. 21 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 4, 1, 1, 1, 1 1.8
+MOP2 zh This expression is called the fundamental theorem of Riemannian geometry . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh But it tends to obscure them , it draws on mainstream psychology . 11 1, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4 3.2
+MOP2 zh Greg Hawking is one of the rare people who drift into teaching and found themselves , they themselves are surprised , absolutely cut out the work . 24 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 4, 1 1.85714285714
+MOP2 zh Appointment of a new minister in office will take over the responsibility of policy in many sectors . 17 4, 4, 4, 1, 4, 4, 1, 1, 4, 1, 4, 4, 4, 1 2.92857142857
+MOP2 zh In his kindness when Rhun outstretched arm, raised him from his knees , he still hung heavily desperate clinging to his humility . 21 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.46153846154
+MOP2 zh The figure shows a measure of the radiation per unit area with the meter reading . 15 4, 4, 4, 1, 4, 1, 4, 4, 1, 1, 4, 4, 4 3.07692307692
+MOP2 zh In some bars prosthetic hand pump gas beer . 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.1875
+MOP2 zh In fact, there are too many complaints monitoring requirements often tubular epithelium. 12 4, 4, 4, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.83333333333
+MOP2 zh Preliminary work began in September last year after the appointment of the two townships hiring full-time project . 17 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1 1.5
+MOP2 zh This is , of course , can reduce the tendency of this effect , and move away from the larger , centralized monitoring local police . 21 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1 1.75
+MOP2 zh Todd has , he is a woman of another dream. 9 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.1875
+MOP2 zh Coaches can often be valuable mentors from the possibility of drama school , you may have auditioned before , who can give a fair assessment . 23 4, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 4 1.92307692308
+MOP2 zh But the report also failed to control the explosion authoritative boss , Mr. Watney , aged 58, last year, early retirement activities . 20 1, 4, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.5625
+MOP2 zh Of course , some people will respond personally ( he has included the postage ) . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.82352941176
+MOP2 zh Four major areas or larger than our Moon . 8 4, 1, 1, 4, 1, 1, 1, 4, 4, 1 2.2
+MOP2 zh Police urge witnesses to the incident occurred in the 11:00 , on Monday in Windsor Street , Toxteth . 16 4, 4, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1 1.9375
+MOP2 zh Watch how to return to the previous line of text package. 11 4, 1, 4, 1, 4, 4, 4, 1, 1, 4, 1, 1, 1, 4 2.5
+MOP2 zh The surface need not be completely flat or smooth . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh In light of this work has been completed , you can then check the draft schedule in the closest detail - may shreds. 21 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh There will be 5,733 empty houses , of which nearly 2,000 have been empty for over a year . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh Heath ( 3.3 ) summarizes the class differences in educational research in an influential and historic tradition. 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1 3.57142857143
+MOP2 zh This phase is considered to Permian sediments and volcanics and the underlying Devonian rocks reaction between the salt solution has been controlled. 22 4, 1, 4, 1, 1, 4, 1, 1, 1, 4, 1 2.09090909091
+MOP2 zh His price - his price can be of immense use . 9 1, 1, 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.2
+MOP2 zh In attendance miners in Mansfield clinic there is a significant improvement , however , because it is closer to their homes. 19 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 4 1.64285714286
+MOP2 zh Well, maybe most of the failures are on my side . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh Gere and Basinger starred in porn thriller Warner Home Video released to video library by October 18 the final analysis . 20 1, 1, 1, 1, 4, 1, 4, 1, 4, 1, 1, 1, 1, 1 1.64285714286
+MOP2 zh Recently , concerns grow , Michelangelo 's Sistine Chapel ceiling in Rome has been irreparably changed by the Vatican conservation team. 18 4, 4, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.92307692308
+MOP2 zh Disillusion me and my sympathy at the same time . 9 1, 1, 4, 4, 1, 1, 1, 4, 4, 1, 1, 4 2.25
+MOP2 zh Horse shot out like an arrow from a bow. 9 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 1, 4, 4, 1 3.2
+MOP2 zh British Equestrian Association is anxious to find out why only a third of the people supposed to happen this year . 20 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.27272727273
+MOP2 zh Adopt PERTEX fabric Quallofil 7 filling , KOMPAKT Lite weighs only 1.2 kg , and , in its stuff sack , a decrease of 7 liters. 22 1, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.46153846154
+MOP2 zh In exceptional circumstances , the Head of discomfort you exit clause , if there is a reasonable explanation for failure to notify . 20 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 zh Strategy so successfully demonstrated in the application of science and technology are experiencing serious problems , complex social system . 18 1, 4, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1 1.75
+MOP2 zh Small specimens are sometimes confused with Synodontis petricolor 's . 8 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4, 1 3.35714285714
+MOP2 zh They called us early into the stadium , it is hot , very hot . 12 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4 3.57142857143
+MOP2 zh Under normal circumstances , I would pick an artist from their homes and take them to Middlesbrough , where they Cleveland radio interview . 21 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.46153846154
+MOP2 zh Though not as taut a young man , his muscles bulging efforts. 11 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh A review copy was a solid black , but the basic model of refined oil . 14 4, 4, 1, 4, 1, 1, 1, 1, 4, 1 2.2
+MOP2 zh In their bedroom where things fall to the ground, and immediately woke up a pair of twins began to howl . 20 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 1.4
+MOP2 zh The necessary motion , in addition to the liquid medium does not occur. 12 4, 1, 4, 4, 4, 1, 4, 1, 4, 1, 1 2.63636363636
+MOP2 zh Once known as butter on Stowe Stowe, because London vector collection of butter. 13 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 zh Adhesion of T cell subsets in particular, the specificity of cytokine-induced lymphocyte recruitment process more flexible and selective . 18 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.5
+MOP2 zh If I had been in your shoes , I walked right out of him . 13 1, 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1 1.69230769231
+MOP2 zh He closed his eyes, she saw his chest movement has stopped. 11 4, 4, 4, 4, 1, 1, 4, 4, 1, 4 3.1
+MOP2 zh A friend to everyone she met loved and missed. 9 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 zh But it is missing - the walls are more than it has disintegrated . 12 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP2 zh He 's going to buy her a new typewriter , old thing, she practices like Candyman trumpet noise. 16 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh You stole it ? "" He replied Laura surprised protest , ""I want to do the time . 13 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.46153846154
+MOP2 zh And the previous maximum 10.5KW 18KW output to the length of the boiler flue 3 meters. 16 4, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.64285714286
+MOP2 zh Slowly rising like a machine , she made her way to the counter , pick up the handset. 16 1, 4, 1, 1, 4, 1, 4, 1, 1, 4, 1, 1, 1 1.92307692308
+MOP2 zh They like to work with the gear , fitting in place, where it is needed . 14 4, 1, 4, 1, 4, 1, 1, 1, 4, 1, 4, 4, 1, 4, 4, 1, 1 2.41176470588
+MOP2 zh We should call it like before Lowfields or make use of the 'new East Stand ' ? 14 4, 1, 1, 1, 1, 1, 4, 1, 1, 4, 4, 1, 1, 4 2.07142857143
+MOP2 zh Agnes , now fully dressed, and went into the hall . 9 1, 4, 1, 1, 1, 1, 1, 4, 1, 4, 1 1.81818181818
+MOP2 zh Supplement per person per night £ 135 for the first night , £ 105 extra a night ( minimum 2 persons ) . 17 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4 3.35714285714
+MOP2 zh You should get a certificate of posting , which is provided free of charge at the counter . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh Second, they retain 25% of the capitation payments discretionary appropriations formula system . 12 1, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 1, 1, 4 2.92857142857
+MOP2 zh Pallister opponents are: Steve Bruce ( Manchester United ) , Paul Pierce ( Nottingham Forest Paul McGrath ( Aston Villa ) , Gary Lineker ( Spurs ) ; Rehovot Dayton ( Liverpool ) . 21 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1 3.47058823529
+MOP2 zh This shows that the company did not learn anything from this lesson. 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh Here we have an uninterrupted outlook , and a brilliant prospect , it is far , stretching several miles per hand . 18 1, 4, 4, 1, 1, 4, 1, 1, 1, 4, 4, 1, 1, 4, 1 2.2
+MOP2 zh Debenhams left of lambswool jumper , £ 24.99 ; striped cotton shirt , £ 15.99 ; tie, £ 7.99 ; grinding washing line, £ 29.99 ; leisure Gibson shoes, £ 34.99 . 20 1, 4, 1, 1, 4, 1, 4, 1, 1, 1, 4, 4, 1, 1, 1 2.0
+MOP2 zh Orthodox Judaism continue to teach an elaborate separation menstruating women and a man in contact with her family . 18 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 zh Recent construction survey shows that 60 -year-old title called Church Road issue. 11 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 4, 4, 1, 1, 1 1.8
+MOP2 zh Problem fireplace is set into a huge thick portion is divided into rooms . 13 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1 1.375
+MOP2 zh This is a brave move, re- start in the garden design talent, and to ensure that testing. 17 1, 1, 1, 1, 1, 1, 4, 4, 4, 1, 1, 1, 1, 1, 4 1.8
+MOP2 zh Liverpool won early popularity , as the British military victory in the Korean peninsula , Mr John Major 's reputation improves the Gulf War . 21 4, 1, 1, 1, 1, 4, 1, 4, 1, 4, 1, 1, 4, 1 2.07142857143
+MOP2 zh BST EEC ban until further research has been completed. 9 1, 4, 1, 4, 4, 4, 4, 1, 1, 1, 1, 4, 1, 1, 4, 4 2.5
+MOP2 zh This deliberately stressed young people and wounding over unreliable relationship dilemma of residential workers . 14 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1 1.375
+MOP2 zh France July 29, 1881 declared: "" publishing and freedom of the press . ' 11 1, 4, 4, 1, 4, 1, 1, 4, 4, 1, 4, 4, 1, 1, 1 2.4
+MOP2 zh As far as I can see , we can go to Dersingham or for their own men . 16 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.375
+MOP2 zh Distinction is drawn between the license , it ceases to have effect . 11 1, 4, 4, 1, 1, 1, 1, 4, 4, 1, 4, 4, 4, 4, 4, 1, 1 2.58823529412
+MOP2 zh Turning them into public gardens and you create attractive , rather than an eyesore . 13 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.46153846154
+MOP2 zh Julie , it is believed that it tries to run back along the path of this treelined Elizabeth snapped . 18 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.46153846154
+MOP2 zh Latin America, the lowest female participation rate of any region in the world , including the Middle East , although they strictly limit women's activities . 23 4, 4, 4, 4, 1, 4, 4, 4, 1, 1, 1, 1, 1, 4, 1 2.6
+MOP2 zh Nine schools in three Midlands law enforcement agencies , will be identified as in-depth study questionnaire. 15 4, 4, 1, 1, 1, 1, 4, 1, 4, 4, 4, 1, 1, 4, 4 2.6
+MOP2 zh This is when the request is considered neutral , because it must be false , the damage to the justice system . 19 1, 4, 1, 1, 4, 1, 1, 1, 4, 1, 1, 4 2.0
+MOP2 zh Some trees , vegetation and animals for the mechanical creation of phantom companies . 12 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 zh I say he , because this is what I think , though it may be that they even her . 17 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.17647058824
+MOP2 zh Julie 's husband Tim at St Botolph's Church in Brampton , cost five standing beside the tomb crying. 16 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 zh They are scripted NCR System 3000 , Sun , HP and IBM mainframe platform DECstation . 13 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 1 3.0
+MOP2 zh Sequel hook Balinese determination usurp another man 's family , and from the fear of modern man appeared in their own children . 20 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.5
+MOP2 zh Invite your closest people to give you some degree of diplomacy , showing you honest feedback . 15 4, 4, 1, 4, 1, 1, 1, 4, 4, 4, 4, 1, 1, 4, 1 2.6
+MOP2 zh We've seen her smile of ""Tatler"" magazine cover her figure in dozens of fashion circles. 14 4, 1, 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 4, 4 2.28571428571
+MOP2 zh Is a small-scale , seemingly without considering the valuer contract as principal . 11 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 1.4
+MOP2 zh Plan targets , make your PC a specified file on the hard disk is almost instantaneous keyword search . 17 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 zh Oh , it's not so bad, "" said Charles feebly offer . 9 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 zh End of the program , as it fell to the fire chorus from Alf unclean , unclean family rest . 17 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.2
+MOP2 zh John Taylor is a flow artisans, from Oxford University in 1839 recast Loughborough church bells . 15 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.1875
+MOP2 zh How are you going , the next step tweed ? 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh Is flexible and , if necessary, should have more time to devote to a project in a separate meeting . 18 1, 4, 1, 4, 1, 1, 1, 4, 4, 1, 1, 4, 1, 4, 4, 1 2.3125
+MOP2 zh It was originally developed by the U.S. publishing company Houghton Mifflin ) . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh Those days are gone , thanks to our measure. 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.78571428571
+MOP2 zh Explosion shattered glass all around storm rain curse them along the corridor . 12 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 zh Involved in the operation of services laid reduction ; in its local community health committees were created to represent the public . 20 1, 4, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1 1.64285714286
+MOP2 zh The implementation of the results - British wool romantic - in one of the world 's largest and most prestigious department stores in October ( 8-18 ) . 22 4, 4, 4, 1, 4, 1, 1, 1, 1, 4, 4, 4, 4, 4, 4 3.0
+MOP2 zh Why not give their own stupidity , not bothered ? 8 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP2 zh TV presenter Keith Chegwin opened his heart yesterday in front of the camera , admits: "" I am an alcoholic . 18 4, 4, 4, 4, 1, 4, 4, 4, 1, 1, 1, 1, 1, 4, 4 2.8
+MOP2 zh They have established themselves in the southwest , and their king , Athaulf Court held in Narbonne . 15 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 4 1.81818181818
+MOP2 zh Rachel sat next to Damian Flint hateful tense silence . 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.2
+MOP2 zh Fat couple on vacation blanket , bouncing like children in low-g cuckoo moondirt souvenir jewelry. 14 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.1875
+MOP2 zh Presidential Commission initially appeared intended to replace the main centers of the Soviet Communist Party Politburo in the Soviet Union 's political decisions. 22 4, 1, 1, 1, 4, 1, 1, 4, 4, 1, 4, 4, 1, 1, 4 2.4
+MOP2 zh Questions. Said the gentleman , the proposal is half-baked . 8 4, 1, 4, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.85714285714
+MOP2 zh This modeler adds an associated program , thus providing a truly automated assembly process movement possibilities. 15 1, 1, 4, 1, 4, 1, 4, 4, 1, 1, 4, 1, 1, 4, 1, 1 2.125
+MOP2 zh The end of the known death toll down sharply again from the revolution stood 689 . 15 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.5
+MOP2 zh Old sailor Harry Ward does not expect campfire ...... because his latest drinking companion , Johnny papier-mâché guy would be burned alive. 20 4, 4, 1, 1, 1, 4, 4, 4, 1, 1, 4, 4, 4 2.84615384615
+MOP2 zh Transport are designed to withstand accidents and , until recently Govenrment precludes any possibility of radioactive leaks . 16 1, 1, 4, 1, 1, 4, 1, 1, 1, 4, 1, 1, 4, 1, 1 1.8
+MOP2 zh I know there must be a wound , she had not been strangled or drowned , or poisoned . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1 3.6
+MOP2 zh We are firmly committed to equal treatment of men and women pensions. 12 1, 1, 4, 1, 4, 4, 4, 1, 4, 1, 4, 1, 4, 1 2.5
+MOP2 zh Poison is dangerous, but few people who bathe in the sea urchin know how painful swelling when there can be unexpected trampled . 22 4, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.64285714286
+MOP2 zh Fortunately, we are honest, is a very simple game plot. 10 4, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1 1.92307692308
+MOP2 zh They will jazz Telford , Marconi , a subsidiary of GEC ubiquitous group headed by Chairman of the Board. 17 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP2 zh Let A and B are non-relativistic , so that movement. 9 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.17647058824
+MOP2 zh Agreed in principle to a cessation of hostilities . 8 4, 1, 4, 1, 4, 1, 4, 4, 4, 1, 4, 4 3.0
+MOP2 zh These checks can find no good reason , business or not, isolation , management's examination is reduced to less than 75 . 19 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.375
+MOP2 zh Procedures for the 16-week training allowance and travel expenses . 9 1, 1, 4, 1, 4, 1, 4, 4, 4, 4, 4, 4 3.0
+MOP2 zh Taking into account the different types of cells , such as muscle , skin, gut and nerves. 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4 3.57142857143
+MOP2 zh Bridget reported that , compared with previous courses held in Avery Hill Easter Course numbers are much lower. 17 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 1, 4 3.57142857143
+MOP2 zh Single £ 4.00 nights , continued to live night £ 16.00 8 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.42857142857
+MOP2 zh ( 13 ) , is also unable to detect transcripts P3A + α subunit chicken leg muscles or mouse : mouse thymus organ or torpedo . 19 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.2
+MOP2 zh Since this region is very rich circle Cullbridge rare species . 10 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.5
+MOP2 zh Cold, late spring , it may be difficult to graze rye time a good tilth beet. 15 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh We thoroughly enjoyed the dog today and all the right things to do , with our current eater , Monty tried , but he did not impress . 24 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh More like Neanderthal remains were discovered in the 1880s , many paleoanthropologists began arguing that they include great apes and humans a unique species intermediate between . 25 1, 1, 4, 4, 1, 4, 1, 4, 1, 1, 1, 1, 4, 1, 1 2.0
+MOP2 zh You will receive a unique personalized club membership card , you can request your participation in Shell petrol station air miles . 20 4, 1, 4, 4, 4, 4, 1, 1, 4, 4, 1, 4, 4, 1, 4 3.0
+MOP2 zh Our idea is to make it easier , and try to get a good picture of how they feel about their health . 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh In almost all investigations of any size , an investigator can take up full-time in the first few days after the accident taking statements . 23 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 zh One day she and her mother Hickstead sent a note , ""said Deirdre has her bilius attacks , and will not come . 19 4, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.64285714286
+MOP2 zh But I think she has a good time . 8 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4, 1, 1 3.2
+MOP2 zh Mike's thinking about now is wrong, very sick, but she could not help himself. 14 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh Right now, Kendall does not return in the aristocratic Everton , he knew seven years ago. 15 4, 1, 4, 4, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1 1.9375
+MOP2 zh Australia would be glad , if they meet reopen Panguna , one of the world 's largest copper mine . 16 4, 1, 1, 1, 1, 1, 1, 1, 1 1.33333333333
+MOP2 zh It is projected to fall to 15% in April . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh Although the net assets grew 35% to £ 458 million Stanhope , the city unmoved department . 14 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1 1.5
+MOP2 zh Because the source is not rich , not so generous than the river has dried up ? 15 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1 1.4
+MOP2 zh Now C- and Ku-band , 4GHz to 6GHz and 11GHz of the to 14GHz, large-scale use . 15 4, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.69230769231
+MOP2 zh I'll be back again next weekend , we can plan . 9 4, 4, 4, 4, 1, 1, 1, 4, 4, 4, 1, 4, 4, 1, 1 2.8
+MOP2 zh These aspects of political choice is still important, but not so now than in the past . 16 1, 1, 4, 4, 4, 4, 1, 1, 1, 1 2.2
+MOP2 zh She makes you look a bit of a fool in front of anyone else who is looking . 17 4, 1, 4, 4, 4, 1, 1, 4, 4, 4, 4, 4, 4, 1 3.14285714286
+MOP2 zh Northeast last night, a group of businessmen and women , said the Conservatives do not trust the commercial vote yesterday . 19 4, 4, 1, 1, 4, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1 1.9375
+MOP2 zh Evolutionary theory best explanation of the problem to make inferences. 10 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.35294117647
+MOP2 zh Learn how to change things better , rather than just learning to adapt to the way things are now, how do ? 20 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 1.4
+MOP2 zh But we thought - everyone thought - she would turn to her marriage , it would be the end of it . 18 1, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 1, 4, 4 3.0
+MOP2 zh Personnel manager at universities and research resources management has joined the company as a production line manager . 17 1, 4, 1, 4, 1, 1, 1, 4, 4, 4, 1, 1, 4, 4, 1, 1 2.3125
+MOP2 zh System of rules for the rest mass of the main remedies include the introduction of what we call ' the variation . 20 1, 4, 4, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.8
+MOP2 zh Now a lot depends on how active role in the United States is ready to play along the Egyptian Israeli annoyance response to a recommendation . 25 4, 4, 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1 1.9375
+MOP2 zh Sometimes , I do not know how he passed his 0 , "" Dad said , we climb over the pebbles and out of the village . 22 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.42857142857
+MOP2 zh In the Capitol , crying to go: "" burn it down . 9 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.5625
+MOP2 zh This is more representative of the nature of R & D projects than is often the result of a single day PERT program. 22 4, 1, 1, 4, 4, 4, 1, 1, 4, 4, 4 2.90909090909
+MOP2 zh The meeting , one community participants , indicating that the best path for dialogue to overcome their differences . 16 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1 1.75
+MOP2 zh These involve more open and distance learning and the creation of photocopying and electrocopying, ' custom ' package materials for students . 19 4, 4, 4, 4, 1, 4, 1, 4, 4, 1, 4, 4 3.25
+MOP2 zh It seems impossible that anyone could be the middle of that storm leaves to survive. 15 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.69230769231
+MOP2 zh When women once a month for three consecutive nights, moonlight artificial cycle become synchronized rhythm of the moon . 18 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.35294117647
+MOP2 zh Admittedly , he was not driven by the same pious mercenary ambitions , some of his colleagues , as far as possible to seek artistic satisfaction . 23 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1 1.5625
+MOP2 zh Adequate supply of snow , on this issue we have a special section for those of you who want to get the ski slopes . 23 4, 1, 4, 1, 4, 1, 1, 1, 1, 4, 1, 1 2.0
+MOP2 zh In other words, the generalist administrator called economists , statisticians, and other information, but who it is 'top' generalists . 17 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1 1.375
+MOP2 zh You are afraid, you two , I may be found in all of the mother is not dead , is not it ? 20 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 zh The SORP recommended that local authorities and examples of accounting policy review . 12 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.46153846154
+MOP2 zh Decided that he must once again the tide of the game , he began to despair of tedious running trough of breakwaters along the edges. 24 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.25
+MOP2 zh Birds can cause serious health risks for people who eat them in North Africa and Southern Europe . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh In this case , you can profit from a gallon by multiplying the daily average net goodwill numbers. 17 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 4, 4, 4 2.15384615385
+MOP2 zh This is a natural sheltered basin , along the undulating meadows Comer , a trick . 13 1, 1, 4, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 4 1.8
+MOP2 zh This course provides basic communication theory, comprehensive training , especially for the case of Africa . 14 1, 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.25
+MOP2 zh Then, slowly at first, he began to prepare the little boy , all of this possible fate. 16 1, 4, 1, 1, 1, 1, 4, 1, 4, 1, 1, 4, 1 1.92307692308
+MOP2 zh My German is working like a dream , like a brilliant robot , you turn and step back and admire , because it is all the hard work . 25 1, 4, 4, 1, 4, 1, 4, 1, 1, 1, 1 2.09090909091
+MOP2 zh Jess - her blunt with Samson's hand contact , because she coiled round - bite him one . 14 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 zh A good deal , gave me the feeling that I have been for a good seven-day Bahamas itinerary . 17 4, 4, 1, 1, 1, 4, 1, 4, 1, 1, 1 2.09090909091
+MOP2 zh Skiing, because it is excellent for horizontal jumps , the Mavericks get stretched and you posture, balance and coordinated development. 19 1, 4, 1, 1, 1, 1, 4, 1, 4, 4, 1, 1, 1, 1, 1, 1 1.75
+MOP2 zh On this site on any earlier round of pit However, both have been pulled down and rebuilt , or expand into new wheels. 22 4, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 4, 1, 1 1.85714285714
+MOP2 zh North Harbour coach Brad Meurant , said: "" Everyone is helping his teammates . 11 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.78571428571
+MOP2 zh Martha has leaped to the top of this slot , Shell second and Glaxo third . 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 1 3.47058823529
+MOP2 zh Height inflatable originated in the upper mantle magma eruption produced a small shallow pit called Mars . 16 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1 1.4
+MOP2 zh Long-term economic growth, changes in the expected rate of return risk . 11 1, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4 3.14285714286
+MOP2 zh She stood at the door of the elevator with other visitors at the hospital 's main entrance. 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh Similar picture emerges in the female laborers between the total income distribution. 12 4, 4, 1, 1, 4, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1 2.0
+MOP2 zh Lawyers and Legal Executives Society appropriately qualified researcher. 8 4, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 4 1.75
+MOP2 zh They also improve the health and social services, the quality and quantity requirements , the eradication of poverty is all about. 20 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.42857142857
+MOP2 zh This command must be submitted to Parliament and December 6, 1977 , where the debate . 14 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.27272727273
+MOP2 zh Yes , well, I always thought Augustin in his thoughts is a bit simplistic, "" said William , waspishly him , as if talking about a rival academic . 24 1, 4, 4, 1, 1, 1, 4, 4, 1, 1, 4, 4 2.5
+MOP2 zh Brazilian military trainer aircraft and small civil aircraft export success is quite different origins . 14 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.46153846154
+MOP2 zh My people, it says , why should we bother . 8 4, 1, 1, 4, 1, 4, 1, 1, 4, 4 2.5
+MOP2 zh His Royal Highness the Queen 's flight of the aircraft, and took Mrs. Harry Cotterell. 14 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh In the last two years of the war , I was in orbital stations and access each one squadron of my endless pursuit of Pathfinder . 24 1, 4, 4, 4, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1 2.0
+MOP2 zh EC does not care about their national health or education policies. 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh Leader makes all the decisions and problem description , I hope they obey no doubt . 14 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 zh Now I understand why they pay Macaulay Culkin $ $ 300 million - he earned it . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh This time there was a competitor facing children invisible window , so that children can see the chocolate each test . 19 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP2 zh It is this string format , we are now open . 9 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 4, 1, 1 1.8
+MOP2 zh He approved and registered with warm tears when the rebel Achaeus Antiochus III , was brought to his "" hands tied "" ( 8.20.9 ) . 20 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 4 1.69230769231
+MOP2 zh Who is living in the short term follow-up ( mean ( range ) 19.4 ( 10-33 ) months ) of 18 patients , 14 were still alive in 1992 ( 69 ( 61-83 ) months ) . 25 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 zh The second method , you can in a foreign language too is a very effective strategy. 15 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP2 zh He took the gun and went to the door , check the carriage remains securely tied . 15 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1 1.375
+MOP2 zh There are a lot of envelopes and writing paper fingerprint smudges , the only part of Maureen and her father. 19 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 4, 1, 1, 1 1.64285714286
+MOP2 zh I do not know how many species of trees , perhaps over 1000 . 12 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.76923076923
+MOP2 zh Front sliding window , original fireplace , built in single wardrobe , radiator , power points, stripped wood flooring. 15 1, 4, 1, 4, 4, 1, 4, 4, 4, 1, 1, 4, 4, 4, 1, 4, 4, 4 3.0
+MOP2 zh The level of HIV infection worldwide is expected to rise to 2000 15-20,000,000 , including at least three-quarters of the developing world . 21 4, 1, 4, 1, 4, 4, 4, 4, 1, 4, 4, 1, 4 3.07692307692
+MOP2 zh The result has been a few years ago to destroy each dispute progress in health care . 16 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.35294117647
+MOP2 zh Wars Housewives ,"" a drama of escape is over, it is less than a minute and a half . 17 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 4, 1, 1, 1, 1 1.6
+MOP2 zh Laughter in his eyes sparkling as he met her belligerent stare . 11 4, 1, 1, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 4, 1 2.0
+MOP2 zh They are just minutes away from the train station , the service is frequent . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh Perhaps the most significant of the three boxing 's all-time greats - Ali, Robinson and Armstrong - born in comfortable circumstances . 18 4, 1, 1, 4, 1, 4, 1, 1, 4, 1, 4, 1 2.25
+MOP2 zh Halifax Building Society , bombers have put their equipment , it is now a pile of rubble. 15 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.46153846154
+MOP2 zh Michael Ryan found between deconstruction and Marxism reconciliation . 8 4, 1, 4, 4, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1 2.07142857143
+MOP2 zh There is no other quite like Oxfam catalog Christmas catalog . 10 4, 1, 1, 1, 4, 1, 1, 4, 4, 1, 4, 1, 1 2.15384615385
+MOP2 zh Unless there are more resources to pump , how is this going to happen , "" she said. 15 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4 3.4
+MOP2 zh This is a way of thinking and behavior . 8 4, 4, 4, 1, 4, 4, 4, 1, 4, 1, 4 3.18181818182
+MOP2 zh "" Yes, ""she said, simply, a few minutes , they studied each other. 10 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.46153846154
+MOP2 zh In a slow surface, two consecutive kills bowler , batsman unwilling to take risks, to break their lines . 17 1, 4, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1 1.6
+MOP2 zh It was Saturday night, they may not come. 8 4, 4, 1, 4, 4, 4, 4, 4, 1, 1, 1, 4, 4, 4, 1, 1 2.875
+MOP2 zh Throughout the discussion of the information provided by the other site is confidential . 13 1, 1, 4, 1, 1, 4, 4, 4, 4, 1, 1, 1 2.25
+MOP2 zh Prime Minister can not safely entrust its consideration, because once developed , these rules will affect the daily lives of 560,000 Britons . 21 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 1 3.35714285714
+MOP2 zh Somewhere in the silence between them began to emergency calls , continuous loop . 12 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.25
+MOP2 zh In some cases remind ( including written and telephone ) . 8 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.1875
+MOP2 zh Montagu ( 1976 ) has pointed out time and time again , war needed social activities without any internal state relationship aggression . 19 4, 1, 4, 1, 4, 1, 4, 1, 1, 4, 1, 4, 4, 1, 1 2.4
+MOP2 zh This , then, is the theory - but how does it work in practice ? 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh However, things may be exempt from those just over the limit angle looks quite different . 15 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1 1.64285714286
+MOP2 zh Repeat what they hear , women's rights claims something called the "" Salvador democracy"" is in danger . 15 4, 1, 1, 4, 1, 1, 4, 1, 1, 1, 4, 1 2.0
+MOP2 zh Thomson Travel including airlines ( backward integration ) and travel chain ( forward integration ) . 11 1, 4, 4, 4, 1, 1, 4, 1, 1, 4, 4, 4, 1, 1 2.5
+MOP2 zh Methodist student has been appointed a new pastor. 8 4, 4, 4, 4, 1, 1, 4, 1, 4, 1, 1 2.63636363636
+MOP2 zh London's historic little house can still be seen as their purpose. 11 4, 4, 1, 4, 1, 1, 1, 4, 1, 4, 4, 4, 1, 4, 1 2.6
+MOP2 zh I summarize the clinical characteristics of these patients . 8 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.57142857143
+MOP2 zh Further information from the SS Lange , RSC, Burlington House , Piccadilly , London W1V 0BN. 13 1, 1, 4, 1, 4, 1, 4, 4, 4, 4, 1, 4, 4, 4, 1 2.8
+MOP2 zh Yalishihe 's reaction , often abbreviated as "" Herxheimer reaction , as the proportion of cases , the initial dose for the treatment of syphilis. 20 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.4
+MOP2 zh Ideally , this will not be those who give them the necessary , if there is a vision and support the financial work . 21 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1 1.69230769231
+MOP2 zh Looking around the room , ancient, old furniture , I realized that Herbert must be very poor. 15 4, 4, 1, 4, 1, 1, 1, 1, 4, 1, 4, 1, 4, 1 2.28571428571
+MOP2 zh They will be joined by John Tierney and John Kerr . 10 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4 3.64705882353
+MOP2 zh However, this trophy sitting in Jim 's office in Peel Park , will stay there . 13 4, 4, 4, 4, 1, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.6
+MOP2 zh Leeds and Swiss Protein database search did not homologous with any other protein to detect any significant similarities. 18 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.375
+MOP2 zh Ranchers , who see themselves as guardians of the west that grazing and feed produced economic stability of the country. 19 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1 1.46153846154
+MOP2 zh In the fourth century , the man was buried here . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh They began to question , they began to dream. 8 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.53846153846
+MOP2 zh Steve Jones ( Jones zealous Christian , he said, particularly in relation to ) : ""Many people simply uncomfortable, some of the"" super- religious ""No matter how you call it . 24 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.5
+MOP2 zh Lorne plateau formation of Devonian andesitic lavas and tuffs , with contemporary Lagalochan invasion and mineralization is not integrated overlying Dalradian schist . 21 4, 1, 1, 1, 1, 4, 4, 1, 1, 4, 4, 1 2.25
+MOP2 zh He looked up at阿瑟尔斯坦, his face filled with pride. 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 4, 4 1.8
+MOP2 zh She is used to driving a luxury Saab this time, although she was quite frightened first responsibility . 17 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1 1.42857142857
+MOP2 zh We want to give children positive memories, they can learn from difficult times at home to build a better country . 20 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.64705882353
+MOP2 zh Motorola Gets Off in the battle with old rivals , the price POWERPC price beat Pentium gloves 16 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1 1.46153846154
+MOP2 zh Thought a lot about this issue the popular assumption that it is wrong . 13 1, 4, 1, 1, 1, 4, 1, 4, 1, 1, 1, 4, 1, 1 1.85714285714
+MOP2 zh Mutalibov said that from his hiding place in Russia, "" Izvestia"" , allegations of political persecution. 14 4, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.69230769231
+MOP2 zh Commercial Union market model to explain the return rate of 25 % of the variance . 14 4, 4, 4, 1, 4, 4, 1, 1, 1, 1, 4, 4, 4, 1, 1, 4 2.6875
+MOP2 zh My claim , I assure you , will be our common interests. 10 4, 4, 1, 1, 1, 1, 1, 4, 4, 4, 4 2.63636363636
+MOP2 zh Only in the Gospel of John , he makes an interesting curiosity and profound statement . 14 1, 4, 1, 1, 1, 1, 4, 4, 4, 4, 1, 1, 1, 1 2.07142857143
+MOP2 zh The day they return home repair and construction work, in an army base in Omagh . 15 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1 1.4
+MOP2 zh Best Hotel which are all first world ordered calm : state of the art swimming pool , satellite TV and a chocolate on the pillow at night . 25 1, 1, 4, 1, 4, 1, 4, 1, 1, 1, 1, 4, 1 1.92307692308
+MOP2 zh In an area of four pavilion roof burned. 8 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.5
+MOP2 zh I find it strange , extending the hand of friendship and economic cooperation between our countries the same mass extinction threat. 20 4, 4, 1, 1, 1, 4, 1, 1, 4, 1, 4, 1, 1, 1, 1 2.0
+MOP2 zh Building was converted into a gallery , and successful bohemian arts by the FRANTISEK CuBr and Joseph Pilar, in the 1960s . 20 4, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1 1.81818181818
+MOP2 zh But another part of the opposition simple idea that she is someone else's wife cried out . 16 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.1875
+MOP2 zh These issues or investigations are expected to be diverse. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh August 1975 and December 1978 among five COS-B satellite observations 2CG342 - 02 and prepared for the tenth strongest γ -ray source . 19 1, 1, 1, 1, 4, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.5625
+MOP2 zh We sent a rescue team , because we can as soon as possible , but it was too late, "" he said. 19 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.5
+MOP2 zh Not like a Saturday night , though not really . 8 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 4, 4 2.2
+MOP2 zh I should add that in the debate , he also invited my attention , 5 ( 7 ) , I will refer to : 18 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.5
+MOP2 zh On one occasion, I'm glad I copy, mirror image, in the image at the top and bottom of a group . 20 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.21428571429
+MOP2 zh Since then , the double helix path is clear. 8 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 4, 4, 4 3.57142857143
+MOP2 zh Sun also prepared eight SPARC desktop scorpion in Sunworld show launched on May 11 . 14 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.46153846154
+MOP2 zh Therefore , political and economic accounting costs and benefits of soil and water conservation programs outside the area directly affected other potentially relevant . 22 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.375
+MOP2 zh He further agreed on the need to re- neighborhood police station and put more emphasis on community policing it ? 19 4, 4, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1 2.0
+MOP2 zh Since then, it has been keenly followed by as many full-length TV shows. 13 1, 4, 4, 1, 4, 4, 1, 1, 4, 4, 1, 4, 4, 4, 4 3.0
+MOP2 zh Mailed surveys to not return , and refused to be interviewed . 10 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP2 zh I ran dangerously close to the edge twice dazzled my eyes and drooping eyelids . 14 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 zh This operation will eventually involve from at least nine countries, more than 35,000 troops . 14 4, 1, 4, 1, 4, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1 1.9375
+MOP2 zh The user interface will no longer just a requirement of physical or marketing department USL. 15 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 4 1.75
+MOP2 zh Of course explains how to resolve before the game , it is worth looking forward to is what makes a sailor to go faster than another . 25 1, 4, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.6
+MOP2 zh While watching his features , if they've carved from stone , something stirred deep in his eyes . 15 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1 1.46153846154
+MOP2 zh However, in these two issues, the situation has undergone a fundamental change, compared with 1979 . 15 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 zh I can not hear any sound, "" the priest said angrily . 10 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 zh We may never know the exact number of deaths . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh 17 April and 18 May , respectively, were rejected . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.76923076923
+MOP2 zh Women , Art and Society is a comprehensive work has been progress in the 20 -year-old women and the visual arts. 19 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1 1.6
+MOP2 zh He paid no less than 22 established only in Pembrokeshire charity school. 12 1, 1, 4, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.6
+MOP2 zh Soil pipe bending deformation during the earthquake , though they were stranded copper wire . 13 4, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.5
+MOP2 zh Within a few days , his campaign , he already knows , this ' new Pentecost ' way to achieve Ecumenical Council . 17 1, 1, 1, 1, 1, 4, 1, 1, 4, 4, 1, 4, 1, 1, 1 1.8
+MOP2 zh To follow Jesus as a disciple means that we also face opposition like him life. 15 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 4, 1 1.64285714286
+MOP2 zh He ran into the damp turf wheels , machine crumpled and fell to his knees like an animal shot in the chest . 21 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 4 1.52941176471
+MOP2 zh Jenna stopped angrily confront him, but before she could speak he tilted her face with a strong brown hands. 19 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 zh Grainne said: "" I look at you , "" gently , "" I do not see funny. 12 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.5625
+MOP2 zh The next day, 252 new squadron arrived Beaufighters (T3237) on a Ju88, and be mistaken for the local flight . 18 1, 4, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.6
+MOP2 zh Carrington looked at sea in the first two hours , fascinated by the Scandinavian night, then went to sleep . 18 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 1 3.30769230769
+MOP2 zh It was originally developed for sudden infant death records , there is no inspection , but is now an inquiry . 18 4, 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1 2.0
+MOP2 zh The composition of your shot rule has grown up, although seemingly random, actually work well in practice one of these areas . 21 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.46153846154
+MOP2 zh This is a far cry from the gold horizon Municipal Court . 11 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4 3.25
+MOP2 zh Politics in this sense , if I put you in this glass of water in an interview with reporters , it would be a political act. 24 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.54545454545
+MOP2 zh Sections 18 and 20 in that the main difference between the failed component , this is a very big difference. 19 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1 1.5625
+MOP2 zh Robbie now see that he was a priest. 8 1, 4, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 4, 1, 1, 1 1.75
+MOP2 zh Until a government commission has arrived in Moscow , Boris Shcherbina 's vice president of the Council of Ministers to prohibit evacuated Chernobyl surrounding countryside. 23 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.54545454545
+MOP2 zh Santarem Virgin Mary will always be reunited with their owners , there is a tradition in our family , you know ? 19 1, 4, 1, 4, 4, 1, 1, 4, 4, 4, 4, 1, 1, 1 2.5
+MOP2 zh Since it is a beta version , it's tricky to ClarisWorks star rating. 12 1, 1, 1, 4, 1, 1, 4, 1, 4, 4, 4, 1, 1, 4, 1 2.2
+MOP2 zh She had to do was get a good night's sleep . 10 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP2 zh During the four days of each treatment Intraoesophageal pH value and the movement were investigated. 15 4, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4 3.30769230769
+MOP2 zh All credit Gavin gave me the ball in the end, a little bit of persuasion . 15 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.42857142857
+MOP2 zh 1798-9 prelude to winter in Germany during writing the first draft . 11 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 4, 1 1.75
+MOP2 zh Criminal trial is not a court leads to the truth. 10 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh They came to enjoy the kind of real understanding twins . 10 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4 1.81818181818
+MOP2 zh 'Harbury criminal acts, ""a voice said,"" He have any comments ? 8 1, 4, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.5625
+MOP2 zh Dustin neat Beatles cut slightly disheveled , with a mole on his right shoulder, close-up . 14 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1 1.46153846154
+MOP2 zh The bare facts "" headdress full of straw 'to after all the most absurd poetic word , which means that the speaker's weaknesses. 20 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 zh I think this is some weirdo , when I asked who was calling the voice shouted: 'This is mine ! 17 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 1 3.25
+MOP2 zh I should not , "" the waiter said , but then smiles . 9 4, 4, 4, 1, 1, 1, 4, 1, 4, 4, 4, 1, 4 2.84615384615
+MOP2 zh Ah , this is not a bad idea , what is it ? 10 1, 4, 4, 4, 4, 4, 1, 1, 4, 4, 1, 1, 4 2.84615384615
+MOP2 zh He wrote that the beauty of glass , is such that the surface is not covered . 15 1, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 1, 1, 4 2.92857142857
+MOP2 zh Cougars die last used about 8 years ago, in the past its best ; he suggested Mirage similar cougar . 18 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh Brigadier said: ""I still have a word , ' withdrew his head , and opened the door . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 1, 4, 1, 1, 1 2.94117647059
+MOP2 zh In these days , some of the slogans and ideas , from the "" Democracy Wall "" 1978-79 and received a brief hearing. 19 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 4 1.6
+MOP2 zh If I got it another couple shilling , no I earned it ? 11 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 zh He turned, cold , stiff, anxious to see a young man with blond hair , short hair, worried eyes and face pock-marked . 20 1, 1, 1, 4, 4, 4, 1, 4, 1, 4, 1, 1, 1, 4 2.28571428571
+MOP2 zh To fill the gaps, identifying immediate follow-up inquiries and pay attention. 11 1, 1, 4, 1, 4, 1, 4, 4, 1, 1, 1, 4, 1, 1, 1 2.0
+MOP2 zh Another team of genetic scientists spray is described as a very exciting development , Dr. Zhu Liya DORIN. 17 4, 4, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 4, 1 2.0
+MOP2 zh Old highway yard Rigby Road and rail links , seems to offer an ideal site . 14 1, 1, 4, 1, 4, 4, 4, 1, 4, 4, 1, 1, 4, 1 2.5
+MOP2 zh Chong Jodami wild dancing together last , Jodami discovered a crucial extra equipment while walking . 14 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.5
+MOP2 zh You can see the coexistence of private affluence and corporate poverty ? 11 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.57142857143
+MOP2 zh Jay drawled phrase , as she waded through pubbed and pestle hung over morning coffee and endless cigarettes, ""I am a night owl , honey . 22 1, 4, 1, 4, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1 1.85714285714
+MOP2 zh No and controversy that Cadfael, watching from where he retired some anxiety . 12 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh Ardakkeans say is that most life-threatening superhumanly strong and invulnerable . 10 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 zh She passionately writes: These words , said to him: 8 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1 1.5625
+MOP2 zh Villagers fight to stop the sale of the ancient common 10 4, 1, 4, 4, 4, 4, 1, 4, 4, 1, 1, 4, 4 3.07692307692
+MOP2 zh Road , which seems a very long way to go , but I only have to walk a kilometer away across the fields on the farm. 24 4, 1, 1, 4, 1, 1, 4, 1, 1, 4, 4, 1, 1, 4, 1 2.2
+MOP2 zh Notes from the underground and it is precisely such a fable, invisible consciousness. 13 1, 1, 4, 1, 1, 4, 1, 4, 1, 1 1.9
+MOP2 zh We got our crew and Robin sitting in front of our rushes. 12 4, 4, 1, 4, 4, 4, 1, 1, 1, 1, 1, 4, 4 2.61538461538
+MOP2 zh Saddam is expected in the West humiliation, anger , the Arab masses to rise up against their pro-Western leaders. 18 1, 4, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.6
+MOP2 zh Some of America 's most powerful people are worried sick after New York's most notorious lady, an address book, belongs to theft. 21 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.5625
+MOP2 zh Science Museum director , Neil Cossons , confident you can restore the old number. 12 4, 1, 4, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.85714285714
+MOP2 zh However, take special reasons, such as illness missed exam retake exams are usually allowed to count to win the full mark . 21 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.64285714286
+MOP2 zh Comparing the electrical systems - Part 1 ( November 1991 No. ) of the pure string phone , it would be a good exercise. 20 4, 4, 4, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1 2.0
+MOP2 zh AID trip , giving her pupils in a third world poverty and fear 12 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 zh She noticed his fingers trembling, her anger subsided , replaced , not by a wild optimism of hope. 16 4, 1, 4, 4, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 4 2.125
+MOP2 zh In quantum mechanics jargon , this choice behavior is known particles obey statistics . 12 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1 1.6
+MOP2 zh You can manually format your spreadsheet , or design your own speedformat program . 12 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.625
+MOP2 zh Him to arrange more actors to the crew of some private pocket money , and the film to his assistant. 19 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 zh , CELIA almost welcomed the idea of going to work . 9 4, 4, 4, 1, 4, 1, 1, 4, 1, 1, 4, 4, 4, 4, 4, 4, 4 3.11764705882
+MOP2 zh I can only assume my name respected associations, he thought it might quell criticism of what might be called Athenaeum sector . 21 4, 4, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.92307692308
+MOP2 zh It so happened that on the 5th Air School from the mine during the Boer War Churchill hiding not far away, "" Clifford recalls . 23 1, 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1 1.6
+MOP2 zh I really enjoy working with digital things , such as how much I need to buy wallpaper or carpet 18 4, 4, 4, 1, 4, 1, 4, 4, 1, 1, 1, 1, 4, 1, 1, 1 2.3125
+MOP2 zh Test in the future not only easier, but it should also be cheaper. 13 4, 4, 1, 4, 1, 1, 1, 4, 1, 1, 1, 4 2.25
+MOP2 zh Then , I turned the picture round , and complete other parties . 10 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh If so, they can share our knowledge, do they ? 9 4, 1, 4, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1 1.92307692308
+MOP2 zh But there is something similar in the Sun . 8 4, 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.53846153846
+MOP2 zh U2 last night unveiled its stunning new video interference in a spectacular ceremony in London Planetarium ... 16 4, 4, 4, 1, 4, 4, 4, 4, 1, 4, 1, 4, 1 3.07692307692
+MOP2 zh But Mr. Liggett hopes to lack of space does not result in the future tombs constraints. 16 1, 4, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1 1.69230769231
+MOP2 zh Who gave me advise my social worker asked me if I wanted adoption or foster care, and I said culture ( white series ) . 22 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh The results clearly show that adult asthma population high prevalence of esophagitis . 12 4, 1, 1, 4, 1, 1, 4, 1, 1, 4, 1, 1, 1 1.92307692308
+MOP2 zh For this reason, it is really only suitable for the manufacture of plywood, it was very successful. 17 4, 1, 4, 4, 1, 4, 4, 4, 1, 1, 1, 1, 1, 1, 1 2.2
+MOP2 zh But I guess they 've got something to point , if they have already established a good road and rail. 18 1, 4, 1, 4, 1, 1, 4, 1, 4, 1, 4, 1, 1, 1, 1 2.0
+MOP2 zh You can tell the disciples do ? "" One reporter asked . 9 1, 4, 4, 1, 1, 4, 1, 1, 1, 4, 4, 1, 4, 1, 1, 1 2.125
+MOP2 zh Tom Frode, teak Knut and Tony waiting for us to arrive. 11 4, 4, 1, 1, 1, 1, 1, 4, 4, 4, 1, 4, 4, 4, 1, 4, 1 2.58823529412
+MOP2 zh White line , indicating that the body's energy to the electric force can be transferred into a crystal 17 4, 1, 4, 4, 4, 1, 1, 4, 4, 1, 1, 4 2.75
+MOP2 zh Gifts with minimal resources to create a comfortable environment. 9 4, 1, 4, 4, 1, 4, 4, 4, 4, 4 3.4
+MOP2 zh U.S. networks, want to do a television interview . 8 4, 4, 4, 1, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.57142857143
+MOP2 zh Guinness engaged in medical research, health , youth , environment and conservation , employment and business confidence , education and arts organizations to provide financial support . 22 1, 4, 4, 4, 4, 1, 4, 1, 4, 4, 1, 1 2.75
+MOP2 zh A group of Muslim extremists believe her story , the result was terrible. 12 1, 1, 4, 4, 4, 4, 4, 4, 1, 4 3.1
+MOP2 zh Rain will open their campsite mud, fill the reservoir Famagusta . 10 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.35294117647
+MOP2 zh The second workshop , design, Napier Polytechnic , design validation event to prepare college staff . 13 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP2 zh Question can be asked Speaker ( see below ) or just throw the players who ( or just throw ) 16 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh The second limiting factor is immediate, but the greater the potential impact . 12 1, 4, 4, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 4 2.0
+MOP2 zh In my opinion, she makes all the rules of the game , I'm just still be responsible for implementing . 18 1, 1, 1, 1, 1, 1, 4, 4, 4, 1, 4, 4, 1 2.15384615385
+MOP2 zh After the nest , the male looking for a female . 9 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.375
+MOP2 zh The government has planned the inverse process of investment projects through afforestation and sustainable development . 15 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 1, 1, 4 3.07692307692
+MOP2 zh He does not deign to compare British and French railways . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.75
+MOP2 zh Lay the child on his back , his head , and remove any debris with your fingers in his mouth . 18 1, 1, 1, 4, 1, 4, 4, 1, 4, 1, 1, 1, 1 1.92307692308
+MOP2 zh In return , the church cut a little uncertain figure. 9 1, 4, 4, 1, 1, 4, 1, 4, 1, 4, 1, 1, 1, 4, 1, 1, 4 2.23529411765
+MOP2 zh However, it is almost certain that the offer will be rejected. 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh Stoop said Mr. East Germans recently discovered their own strength, without success , Mr. Krenz restore the credibility of the leadership . 20 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 zh Leicester is the distribution of the county's unique from bladder cancer in cash rather than accrual . 16 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh It will look good on the beach , under the roof a nice shirt or jacket the next night 's work. 19 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.25
+MOP2 zh They also see the traditional and modern Chinese history , literature, philosophy and religion representative works. 15 4, 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4 3.35714285714
+MOP2 zh He said that his friends would like to know his secret . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh If you do that, then it's just a man executed , because Jesus' greatest miracle . 14 1, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1 1.6
+MOP2 zh She kicked things in the dark , and briefly stopped to pick it up . 13 4, 4, 4, 1, 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.4375
+MOP2 zh I just came back from India ,"" he announced important . 9 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1 1.5625
+MOP2 zh It is the sort of place where you find a different object of interest , every time you go back. 19 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.8
+MOP2 zh McLaren maintain their lawyers, are reticent Ferguson gregarious. 8 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 zh She vicar before departure of the last attempt . 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh Airshow : The famous Red Arrows Southport Airshow provides a grand finish . 11 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.57142857143
+MOP2 zh Add grated orange peel and juice , eggs , sugar , cornstarch and ginger . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.75
+MOP2 zh Path led them stood there, its stone flags worn and broken , its hidden progress here and there of moss and weeds . 21 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.46153846154
+MOP2 zh If there is a referee younger than me , it proves that there has been a real courage . 17 1, 4, 1, 1, 1, 4, 4, 4, 4, 1, 1, 1 2.25
+MOP2 zh Minimum package : some packaging design, in order to reduce waste in the manufacturing process . 14 1, 1, 1, 1, 4, 4, 1, 4, 4, 4, 4, 4, 1, 1, 1 2.4
+MOP2 zh Chicks in Cranston before the race , jumping up and down . 10 4, 4, 1, 4, 4, 1, 4, 4, 1, 4, 4, 1, 4, 4, 4 3.2
+MOP2 zh I have to peel potatoes MATEY, you have to take the evening surgery, and prepare for your guests . 18 1, 4, 1, 4, 1, 4, 4, 4, 4, 1, 1, 4 2.75
+MOP2 zh R4 morning , DON Howe said it might be another candidate to take America into the new year . 17 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh It is the Holy Spirit to arouse the people to pray Messiah methods. 13 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.54545454545
+MOP2 zh I'm just sick of wandering and reporters want to know her business. 12 4, 4, 1, 1, 1, 4, 4, 4, 4, 1, 1, 4, 1, 1, 1 2.4
+MOP2 zh Or, if you walked into her kitchen and interference. 9 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1 1.42857142857
+MOP2 zh However, by 1976 , the local council in east London to publicize the advantages of industrial sectors . 16 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1 1.6
+MOP2 zh Japanese banks operating in London accounted for 28.5% of total loans , from London , in 1991 , 15% of U.S. banks , other banks 40.7%. 22 4, 1, 1, 4, 1, 4, 4, 1, 1, 1, 1, 4, 1 2.15384615385
+MOP2 zh 'I'm going to die a cup of tea, ""Charlie announced . 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh Catherine's mother had to go home the day before, they are due to leave. 14 4, 1, 1, 1, 1, 4, 1, 4, 4, 4, 1, 4, 1, 1, 1, 4 2.3125
+MOP2 zh And hope in the finals for the Twickenham meeting either Kidderminster Carolians or Hitchin . 14 4, 4, 1, 4, 1, 1, 1, 4, 4, 4, 1, 1, 1, 1 2.28571428571
+MOP2 zh This is a Swansea City Council 's decision Judge Michael Evans QC appeal at Swansea County Court Feb. 6, 1991 . 19 1, 1, 1, 4, 1, 4, 4, 4, 1, 4, 1, 1 2.25
+MOP2 zh A sense of well-being , transformation and enlightenment , penetrate into very marrow of his bones . 14 1, 1, 4, 4, 1, 4, 1, 1, 4, 4, 4, 1, 4, 1, 4, 1 2.5
+MOP2 zh - A control sample of respondents who have all three characteristics , a quarter twenty-three . 13 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 zh Want to know why you - but I should thank Ma mibbe 11 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.27272727273
+MOP2 zh A bit thick book, details of the Bernese Alps important area swept by the previous book . 16 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.64285714286
+MOP2 zh Perched on the roadside speakers booming out , thunderous bars and shops , every corner has its own sound system. 18 1, 4, 4, 4, 1, 4, 4, 1, 1, 4, 1, 4, 1, 4, 4 2.8
+MOP2 zh Early , intense honey flavor, lovely flowers, golden yellow interior, but the pure gray-purple , dark stripes on the outside . 18 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 4 1.6
+MOP2 zh Young people's knowledge of the harmful effects of smoking are quite large, those who take to quit smoking do so purely out of ignorance . 24 4, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1 1.75
+MOP2 zh Then they do not say where they are , if they are wise. 12 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.76923076923
+MOP2 zh Series of annual revenue grew 24 percent to $ 1.6 billion . 10 4, 4, 4, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 2.07142857143
+MOP2 zh Gwyneth Dunwoody said that we secretly dismantling health services and outsourcing Roy Hattersley garbage collection old people like haltingly . 19 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1 1.46153846154
+MOP2 zh May be a person for another woman left his wife and children to get off, no scars do ? 18 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh If the French should take them to see if they point out men, they might send them to their care . 20 4, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 4, 1 1.92307692308
+MOP2 zh Cats Protection League Bazaar , Parliament House , the Royal Baths Assembly Rooms, Crescent Road . 13 1, 4, 1, 1, 4, 1, 1, 4, 4, 1, 1, 4 2.25
+MOP2 zh Their findings are worrisome impact 600,000 people have been affected by the release of radiation considered . 16 1, 1, 1, 4, 1, 1, 1, 4, 4, 1, 1, 1, 4, 1 1.85714285714
+MOP2 zh After a consequence of these factors has led to community care at times defined as "" ambulatory care "" ( Parker, 1990 ) . 19 4, 1, 1, 1, 4, 4, 4, 4, 4, 4, 1, 1 2.75
+MOP2 zh Viol attempt stopped , but the driver ignored him . 8 1, 1, 1, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1 1.69230769231
+MOP2 zh Graphical programming tools , application programming interfaces and cross-application macro facility will also be provided . 14 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.72727272727
+MOP2 zh Third, the uncertainty surrounding the future of the industry now . 10 4, 4, 4, 1, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 1 3.2
+MOP2 zh If he did not, because everyone knows , one hand raised , and led Arab armies against the Turks ? 17 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.46153846154
+MOP2 zh Allocate staff and closest cooperation between the various units managers is essential , both in planning and scheduling vacations. 18 1, 1, 1, 1, 4, 1, 1, 1, 4, 4, 1, 1, 4, 1, 1 1.8
+MOP2 zh There is no strong criticism , there is no convincing evidence , there is no sign of learning, from a lost decade . 20 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 1 3.25
+MOP2 zh Surgery and death is defined as the period between the survival time. 12 4, 4, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 4 2.07142857143
+MOP2 zh Tadgell , aged 32 , rented a unit in Australia and Joanna , her progress from a cleaner waitress in the casino . 19 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.42857142857
+MOP2 zh Their business moved Daurog, eyeing Tallis the night before with the same trembling cautious. 14 4, 1, 1, 1, 4, 1, 4, 1, 4, 1, 4, 1, 1, 1 2.07142857143
+MOP2 zh I have asked my friend from Scotland Yard to help . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh Mr. Jenks forward along the corridor , angrily glared at him , and the children fell on both sides without any complaints. 20 1, 1, 4, 4, 1, 1, 1, 4, 4, 1, 1, 4, 1, 1 2.07142857143
+MOP2 zh Your detective detective story , of course , to seek information . 9 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 zh In the seventeenth century , the new Dutch Republic was the only major force expressed widespread use of this method . 19 1, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1 1.64285714286
+MOP2 zh So, you work in a group photograph of the political pattern and meaning ? 13 4, 1, 1, 1, 1, 1, 4, 1, 4, 4, 1, 1, 1 1.92307692308
+MOP2 zh This is not lived in villages , when people know their great-great- grandfather was a horse thief or anything like past . 20 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh Crystal that Berg was a newspaper reporter , and she assured the rain : ""I did not tell him your story destroy something MI killed MacQuillan. 23 4, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.81818181818
+MOP2 zh Another street , between north and south , and also runs approximately north Ryknild Street branch Tiddington Road 16 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 zh If you want to use their bathroom facilities , I feel very free . 12 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh This is done to improve people's knowledge , beverages and weekly limits, and the link between alcohol consumption and health and fitness strength. 22 4, 4, 1, 1, 4, 1, 4, 4, 4, 4, 4, 1, 4 3.07692307692
+MOP2 zh When the Indians to hunt , whether animal or rival Indians , their firepower is fatal. 14 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP2 zh Speak louder than words , but only when executives are willing to listen, willing to be persuaded. 16 4, 1, 1, 4, 1, 4, 4, 1, 4, 1, 4, 4, 4, 1, 1 2.6
+MOP2 zh In the previous decade, the city of London and other major cities recorded a huge population losses ; cities lost or experienced only slow growth . 24 4, 4, 4, 1, 4, 1, 1, 1, 1, 4, 4, 1, 1, 4, 1 2.4
+MOP2 zh Three women said that from the male boss, they do not get enough respect . 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 1, 1 3.2
+MOP2 zh 86 ' after the demise of our great team , we have established a period of sand castles - they're crashing all the time. 21 1, 1, 1, 1, 4, 4, 4, 1, 4, 1, 1, 1, 1, 4, 4 2.2
+MOP2 zh Wrong shocked polite and curiously uplifting to discover that not everyone in the establishment of such Fagg colonel . 18 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 zh Each of six trees in Switzerland is in poor health - double signs recorded eight years ago. 16 4, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1 1.75
+MOP2 zh Left: painter and decorator Kevin Barton latched into this early 2 lbs 14 oz plaice in Lepestone point during the session, in New Hampshire . 24 4, 4, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.92307692308
+MOP2 zh It is estimated that 65% of the transaction is the spot , the other forward transactions . 15 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1 1.46153846154
+MOP2 zh This is a necessary qualifications bar for later recall . 9 1, 1, 4, 4, 4, 1, 1, 1, 1, 4, 4, 1, 4, 1, 1, 4 2.3125
+MOP2 zh ' Here he comes, look out of this guy. 8 4, 1, 4, 1, 1, 4, 1, 1, 4, 4, 1, 1, 4, 4, 1, 1 2.3125
+MOP2 zh I hope you is not gon NA have a fit. 10 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh Effortlessly give children the skills necessary to perform simple math functions ( with the four rules ) 15 4, 1, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 1 3.07692307692
+MOP2 zh After I had my tea , I'll go to sleep. 9 1, 1, 1, 4, 4, 4, 1, 1, 4, 1, 1, 1 2.0
+MOP2 zh Integrated tourism projects , including purchases of barley , into the laboratory , soaking, germination and malt kiln schedule . 16 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh Then she jumped up , along the path the game. 9 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1 1.54545454545
+MOP2 zh I do not want to be a superstar , I just want to be able to play well . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh The largest ship registration authorities , Lloyd , ship fire, killing 159 people died two years ago in the United States being sued. 21 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.27272727273
+MOP2 zh This is not to deny , of course , in contemporary society crime and violence is an important social reality . 18 4, 4, 1, 4, 4, 1, 4, 1, 4, 1, 4, 1, 4 2.84615384615
+MOP2 zh They strung between two palm trees and a net cut short a vibrant one four side volleyball. 17 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh Cooperation Administrative Structures, heavy co-ordinating different agencies , in any case , would tend to suppress unorthodox . 15 1, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1 1.6
+MOP2 zh We walked solemnly around Gloucester Cathedral hospital , and he told me about his childhood. 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh Within a few days I plan to write , noting that a reasonable ( British Standard ) day dawned . 16 1, 1, 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 4 2.92857142857
+MOP2 zh Whether this antibody has a direct pathogenic significance , Wegener 's granulomatosis , remains to be determined . 14 4, 4, 1, 4, 4, 1, 4, 1, 4, 4, 4, 4, 1, 1, 4 3.0
+MOP2 zh Event has been widely television and newspaper advertising , and promote civil rights march on August 24 from Coalisland Dungannon . 19 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1 1.5625
+MOP2 zh It contains a comprehensive index , the magazine features in our popular , step by step cooking series, Success Tips Recipes indexes and index. 22 4, 1, 1, 1, 4, 4, 4, 1, 1, 1, 1 2.09090909091
+MOP2 zh Seeds, of course , more rich in nutrients than any fleshy coating. 11 1, 1, 4, 1, 1, 1, 4, 4, 4, 4, 1, 4, 1, 1, 1, 4 2.3125
+MOP2 zh Fishing attributed to contamination of fish decline , in some sections of the Severn and Avon . 15 1, 4, 1, 4, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1 1.85714285714
+MOP2 zh Rate of change in the practice of obstetric interventions know you ? 11 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.17647058824
+MOP2 zh Ultra Gentle Eye Makeup Remover SYNERGIE rose extract, is a light oil-free lotion, soothing properties , 2,99 / 200 ml . 18 4, 1, 1, 4, 4, 1, 1, 4, 1, 1, 1, 4, 1, 1, 4, 1, 1 2.05882352941
+MOP2 zh Stewart and Tate more aware of energy degradation , moral and physical , and thus the world 's impermanence. 16 4, 4, 1, 1, 4, 1, 1, 4, 4, 4, 4, 1, 1, 1 2.5
+MOP2 zh This rule is subject to some exceptions ( see Chapter 5 ) . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 zh We are grateful to Ken Byron set up a much-needed drama and dance education magazine . 15 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 zh This tone , Tom's tape is a scientific analysis, rather than scary bedtime stories . 13 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4 1.81818181818
+MOP2 zh Suggested in the debate , this is indeed the strain gnats and swallow an elephant . 14 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 1.42857142857
+MOP2 zh Ban Dayaqibo Dr. fly whisk him at the relevant time . 10 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1 1.375
+MOP2 zh Both are left-wing extremist Red Army faction (RAF) of former members . 10 4, 4, 4, 1, 1, 1, 1, 1, 1, 4, 4, 4, 1, 4, 1 2.4
+MOP2 zh But in any case , "" - her tone changed again - "" I am very grateful to you for your help . 17 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 zh In Stokesley , indeed, neither has a trade , nor the manufacturer , there is no noise or trade dress , and well adapted to retirement is a place . 25 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1 1.375
+MOP2 zh Tickets from Sergeant Gordon Parkin ( phone 091567-6155 , ext 6331 . 9 1, 1, 1, 4, 4, 1, 4, 4, 4, 4, 4, 1, 1, 4, 1, 4 2.6875
+MOP2 zh You think I'm joking Porsche , is not it ? 8 1, 1, 1, 1, 1, 4, 4, 1, 1, 4, 1, 1 1.75
+MOP2 zh They expressed their anger and godly lewd songs resounded Underdown story. 11 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4 1.75
+MOP2 zh Religion: Christianity ( Bulgarian Orthodox Church ) , Islam practiced by Turkey and Japan small Pomak minority . 14 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.46153846154
+MOP2 zh Learning skills, such as typing , take a few hours. 9 4, 4, 1, 4, 4, 1, 1, 4, 4, 1, 4, 4, 4, 1, 1 2.8
+MOP2 zh Our public phone on the wall by the front door of the corridor . 13 4, 4, 1, 1, 4, 1, 4, 4, 1, 1, 4, 4, 4, 1 2.71428571429
+MOP2 zh Mr. Carpenter said: "" All the victims were elderly and infirm . 10 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4 3.6
+MOP2 zh Balanced calcium intake means a healthier tomorrow today 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 1, 4 3.35714285714
+MOP2 zh I think I might go to the United States, and to help students around anti- draft camp , "" he said. 19 1, 4, 1, 4, 4, 1, 1, 1, 4, 4, 4, 4, 1, 1, 1 2.4
+MOP2 zh Other people apart from yourself , candidates who may want to consider a fixed schedule is as follows : 17 1, 4, 4, 4, 4, 1, 4, 4, 1, 1, 1 2.63636363636
+MOP2 zh Before that, she realized that her mouth has been formed words. 11 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 4 1.81818181818
+MOP2 zh Temperature : The temperature generally ranges from 72 ° -76 ° F. 8 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 zh The first one is face sore , began as a red tag. 11 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 4 1.5625
+MOP2 zh We really struggling at this point in time , thinking, "" What are we doing , what we are ? 16 4, 1, 1, 1, 1, 1, 1, 4, 4, 4, 1, 4, 1, 4, 1, 1 2.125
+MOP2 zh I do not think Chris and the band enough time to know each other . 14 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 zh He describes his own experience , in line with the general description of the usual huge sense of presence , accompanied by a huge side effects. 24 4, 4, 1, 4, 4, 1, 1, 1, 1, 4, 4, 1, 1, 4, 1 2.4
+MOP2 zh It prefers moist , humid , airless place , slightly more alkaline pH of the vagina than usual ( usually slightly acidic ) . 18 4, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 4 1.92307692308
+MOP2 zh For incandescent incense stick Bongwater安马格努森is even ; Jin Gedeng is a carcinogenic Zippo full flame . 14 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 zh But did you know there is a ridiculous program ""You know ,"" one , in the currency football trivia proved rather less fraud . 20 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 zh Now, she has been looking closely , she realized that most of the room in the house has two doors . 19 4, 1, 4, 1, 4, 4, 1, 1, 4, 1, 1, 1, 1 2.15384615385
+MOP2 zh If not all sources of income taxation in an equitable price , obviously there is a reward in the form of income into tax-free . 23 4, 4, 1, 1, 1, 1, 4, 1, 4, 4, 1, 1, 4, 1 2.28571428571
+MOP2 zh He had to go through Mordecai , precisely because he is a Coptic . 12 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4, 4 3.57142857143
+MOP2 zh But now they are too costly for a free account . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4 3.64705882353
+MOP2 zh Bruce or injured Pallistar , if they have any decent cover, what will happen . 13 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 zh But his mother was arrested , and now he was in charge of the rebellion in Poitou . 16 4, 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4, 4 3.4
+MOP2 zh But who knows , sir outstanding punch may ride again some time in the future . 14 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 zh He needed it as a duck water required . 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.2
+MOP2 zh The average household size declined from 3.09 in 1961 to 2.55 in 1987 will continue to decline ( Table 2.6 ) . 19 4, 4, 1, 1, 4, 4, 4, 4, 4, 1, 4 3.18181818182
+MOP2 zh On behalf of the dialogue form, is a most appropriate mood and theme of the dialogue. 16 1, 1, 1, 1, 4, 1, 4, 1, 4, 1, 1, 1, 1 1.69230769231
+MOP2 zh As one of the prince's choice of women , has its drawbacks. 11 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 zh Ferdinand is now at least know a lot of English , whether she said the pen and let him feel important . 20 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.23076923077
+MOP2 zh Act II - Beginners , said:"" a trembling voice from outside the door . 11 4, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 4, 4, 4 2.28571428571
+MOP2 zh Coming and going - there had been too much. 8 4, 4, 4, 4, 4, 4, 4, 1, 1, 1, 1, 4, 4, 4 3.14285714286
+MOP2 zh Sowing the seeds outdoors in the spring , or plant in the spring , so that the 60 cm between plants ( 2 feet ) . 21 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1 1.69230769231
+MOP2 zh To 1925 , Whitaker has become an expert in his field , that Chapman was immediately impressed by his knowledge of football injuries. 21 1, 4, 1, 1, 1, 1, 1, 4, 4, 4, 1, 1, 1, 1, 1 1.8
+MOP2 ja It is a beautiful Lincolnshire month we have, and the Dower House still . ' 13 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.27272727273
+MOP2 ja Real friends My first was a boy called Adam probably . 10 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.375
+MOP2 ja She was carrying a brush and bucket wearing denim overalls . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.78571428571
+MOP2 ja Ministers , do not have a detailed responsibility for decision-making . 9 4, 1, 4, 1, 4, 4, 1, 4, 4, 1, 4 2.90909090909
+MOP2 ja Following year , he had the custody of Rochester Castle . 9 4, 4, 1, 1, 1, 4, 4, 4, 1, 1, 1 2.36363636364
+MOP2 ja Leader is essential to ride the cycle of Wirral Country Park neighborhood on Sunday when reservation made Cheshire Ranger Barry Jackson . 21 1, 1, 4, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.6
+MOP2 ja This equation is called the fundamental theorem of Riemannian geometry . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 ja However , there is a tendency to gloss them when drawing the psychology of mainstream it . 15 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.46153846154
+MOP2 ja That is cut out for work absolutely , surprised himself , Greg Hocking was one of find yourself drift and to education of valuable these people . 24 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 ja New minister , will take over responsibility for the policy of many departments to appointment to the office . 17 4, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 4, 1, 1, 1 1.8
+MOP2 ja When I lend arms to Rhun enhance him from his knees to his kindness , clinging humbly desperate of him, and he still hung heavily . 24 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 ja The figure shows how the A- scale per unit area would change in the reading of the radiometer . 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 ja In fact , the monitoring requirements of many TEC from become too frequent complaint is made . 15 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 ja Preparatory work , beginning in September of last appointment of officers in the country two are employed full time to the project. 21 4, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.6
+MOP2 ja Can reduce this effect, of course , greater than the distance between the trends only , which is moved from the local policeman for centralized policing. 24 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 ja Todd , he has a different kind of dream are women . 10 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 1.2
+MOP2 ja For Simulated Annealing is a probabilistic algorithm , the execution of different probeorder, will not produce the same output probe order necessarily . 21 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 4, 1, 1, 1 1.5625
+MOP2 ja Music was animated , but the only arm has moved . 9 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4 1.8
+MOP2 ja However , the report also , authority boss of failing to control the activities of Mr. Watoni 58-year-old with early retirement explosion last year . 22 1, 4, 1, 1, 1, 1, 4, 4, 1, 1, 1 1.81818181818
+MOP2 ja Some , of course , (shipping is included he ) would answer personally . 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.21428571429
+MOP2 ja As an area of four of them , is greater than the month or our large scale . 16 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.25
+MOP2 ja The police are appealing for witnesses of the incident that took place in the 11:00 am on Monday Windsor Street , in Toxteth. 22 4, 1, 4, 4, 4, 1, 1, 4, 4, 1, 4, 1, 4, 1, 4 2.8
+MOP2 ja Watch word wrap back to the previous line . 8 4, 4, 1, 1, 1, 1, 1, 1, 4, 4, 4, 1, 4 2.38461538462
+MOP2 ja The cafe itself , I'm full of smoke to sit outside on a bench . 13 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja You do not need surface is smooth or completely flat . 10 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 4, 1, 1 1.8
+MOP2 ja Given that this work is being performed , you may want to consider the next closest detail draft schedule - torn to shreds and perhaps . 23 4, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1 1.75
+MOP2 ja There is a house of parliament of 5,733 sky about 2,000 of which had been empty for more than a year . 21 1, 4, 1, 4, 1, 4, 1, 1, 4, 4, 1, 1, 1, 1 2.07142857143
+MOP2 ja The ( 3.3) , the total of long-established tradition and influence of one of the study of the differences between education classes Heath . 21 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1 1.52941176471
+MOP2 ja This phase is believed to have been controlled by reaction with saline associated with the rock foundation Devonian and volcanic rocks and Permian sediments . 24 1, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 1, 1 2.84615384615
+MOP2 ja And , his price - I can his price to enormous use . 10 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.21428571429
+MOP2 ja By October 18 , Warner Home Video and gear , Basinger star in the analysis Erotic thriller final will be released to the video library . 23 4, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.69230769231
+MOP2 ja In recent years , the ceiling of Michelangelo's Sistine Chapel in Rome has grown that it has been changed by the Vatican conservation team irreparably concern . 25 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.6
+MOP2 ja At the same time disillusioned me , to get my sympathy . 10 1, 4, 4, 1, 1, 1, 1, 4, 1, 1, 1 1.81818181818
+MOP2 ja We have taken out like an arrow from the bow horse . ' 11 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1 1.4
+MOP2 ja Third of them are anxious to find a reason that must have occurred this year alone the British Horse Society . 20 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 ja 7 filling Quallofil and PERTEX fabric , in its stuff sack , and 1.2 kg of sole , light weight of Kompakt, fell to 7 liters . 23 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.5
+MOP2 ja In exceptional circumstances , the head of your department , does not apply to withdraw clause if there is a reasonable explanation for the failure to notify . 25 4, 1, 4, 1, 1, 1, 4, 4, 4, 1, 1, 1 2.25
+MOP2 ja It can be on the planet ' goodness me , ? ' 8 1, 1, 4, 4, 1, 4, 1, 1, 4, 4, 1, 1, 1 2.15384615385
+MOP2 ja Small sample has been confused with Synodontis petricolor occasionally . 9 1, 4, 4, 4, 1, 1, 1, 1, 1, 1, 4 2.09090909091
+MOP2 ja I often pick up artists from their accommodation , I take them to the place Middlesbrough they are being interviewed by Radio Cleveland . 22 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 4, 1 1.85714285714
+MOP2 ja Is not taut as if to that of the youth , his muscles are bulging with effort . 16 4, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.75
+MOP2 ja A review copy is solid black , but the basic model , has a oil finish . 14 4, 1, 4, 1, 1, 4, 4, 1, 4, 4, 4, 4, 1, 4 2.92857142857
+MOP2 ja I woke up one of the twins that something began to howl immediately in their bedroom , I crashed on the floor . 21 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1 1.6
+MOP2 ja I wish the man was a louse like this . 9 4, 4, 4, 4, 4, 4, 1, 1, 4, 1, 4 3.18181818182
+MOP2 ja This exercise is essential , can not take place except for the liquid medium . 13 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 4, 1, 1 1.69230769231
+MOP2 ja Career in London is a collection of butter here , Upper Stowe , was called Batasutou once . 15 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.375
+MOP2 ja Induction of adhesion of T cell subsets specific cytokine particular is going to be selective and more flexible process of lymphocyte recruitment . 22 4, 1, 1, 1, 4, 1, 1, 4, 4, 4, 4, 1, 4, 1, 1 2.4
+MOP2 ja I think if you want to have in your shoes I ' and I 'm walking right outside him . ' 17 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 ja He closes his eyes , she saw that the movement of his chest was stopped . 14 1, 1, 4, 4, 1, 4, 1, 4, 4, 1, 1, 1, 1 2.15384615385
+MOP2 ja Friend is loved much ... she met everyone , I missed many . 10 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja 'But , lost it - on top of that , the wall was built had collapsed paper . ' 13 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.2
+MOP2 ja ' He is going to buy a new typewriter to her , the old ones that practice , sounds like a trumpet of Candyman is she . 23 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1 1.42857142857
+MOP2 ja He in the qualifiers Lancome Trophy in Paris . 8 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1 1.46153846154
+MOP2 ja ' Steal for you ? He , I answer to surprise protest of the roller and "" would do the time ' . 17 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.25
+MOP2 ja The length of the smoke of the previous maximum of 18KW output 10.5kW boiler and was three meters . 18 4, 1, 4, 1, 1, 4, 4, 1, 1, 1, 4, 1, 1, 1, 1 2.0
+MOP2 ja Rise gradually as automaton , is made on the way to her counter her , I picked up the receiver . 18 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.27272727273
+MOP2 ja He has provided the back of your work really ? 9 4, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.69230769231
+MOP2 ja They did what when , to fit in the location where they were needed , such as gears working together . 18 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1 1.5
+MOP2 ja We have made that will continue to use or Lowfields phone ' new east stand ' as before it ? 17 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.1875
+MOP2 ja Wearing clothes completely , Agnes entered the hall now . 8 4, 4, 1, 1, 4, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1 2.0
+MOP2 ja On the first night , supplement ( minimum 2 persons) per night £ 135 per person each night of 105 pounds added. 19 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.33333333333
+MOP2 ja You need to get the certificate (s) is available free of charge at the counter . 14 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 ja Second , they hold 25% of the expression system foreigner head money of discretion allocation . 14 4, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.6
+MOP2 ja I changed industrialization and modernization , the population map nineteenth century England . 11 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 ja Rivals Paris Star , is as follows . Steve Bruce ( Manchester United) , Stuart Pearce ( Nottingham Forest , Paul McGrath ( Aston Villa) , Gary Lineker ( Spurs ) , Ray Houghton ( Liverpool ) . 24 1, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 1, 1, 1 2.71428571429
+MOP2 ja This company shows did not learn anything from this lesson ' . 10 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 ja Here , have a view uninterrupted outlook , outlook of any glory , it is a stretch to far away for many miles in the hands of all . 25 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.27272727273
+MOP2 ja Left de Benham 's Rams wool jumper , £ 24.99, cotton chambray shirt , £ 15.99, tie , £ 7.99; mill washed code , £ 29.99, casual shoes Gibson , £ 34.99. 21 4, 1, 1, 4, 1, 1, 1, 4, 4, 1, 4, 4, 1, 1, 4 2.4
+MOP2 ja Two years ago , soldiers of 2 TA met at open days of the army . 14 4, 4, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.8
+MOP2 ja Orthodox Judaism has continued teaching the elaborate separation of menstruation women from contact with the men of her family . 19 1, 4, 4, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1 1.9375
+MOP2 ja Fireplace in question , was set to a huge thick wall divided the main room partially . 15 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 ja Movement, and brave to start a new garden , it is a test that convinced the talent of my own design . 20 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 4, 1 1.6
+MOP2 ja EEC is prohibited BST further research to complete . 8 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 4, 1, 1, 4, 1 1.8
+MOP2 ja Reliability of young people is low , this deliberate emphasis on the relationship of past hurtful results in the dilemma of housing workers . 22 1, 4, 1, 1, 4, 1, 1, 4, 1, 4, 1, 1, 4, 1, 1 2.0
+MOP2 ja The law of July 29, 1881 , declared : ' publication , the press is free ' . 12 4, 4, 4, 1, 1, 4, 1, 1, 4, 1, 1, 1 2.25
+MOP2 ja We can go for either man himself or Dersingham, to be able to see as far as ' I . 18 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.21428571429
+MOP2 ja Distinction is drawn between the stop and that its an effect and whether the license . 15 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 ja Turn them into public gardens , to create the charm of eyesore instead . 12 4, 1, 1, 1, 1, 1, 1, 1, 1, 4 1.6
+MOP2 ja It is believed , Julie , tried to run it, but Elizabeth had broken along the tree-lined street and back . 18 4, 4, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.75
+MOP2 ja In February , Senator , refused to allow the change of time . 10 4, 4, 1, 1, 1, 1, 1, 4, 1, 1, 4, 4, 1 2.15384615385
+MOP2 ja The shrugged and smiled , she stared off in the distance. 10 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.375
+MOP2 ja In survey after Nine school is identified for in-depth study of an LEA 3 Midland . 15 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.21428571429
+MOP2 ja Some of the trees , plants and animals were the creation of mechanical Mirage company . 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4 3.57142857143
+MOP2 ja Because it is what I think , it is also whether the girls , could , I say to him. 17 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 ja Tim husband of Julie in St. Botolph's Church Brampton , crying standing beside the tomb in Northants. 16 4, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1 1.69230769231
+MOP2 ja He looked to another from the face a tired one . 10 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.2
+MOP2 ja Please invite people closest to you to give you honest feedback of some degree of diplomacy you to show . 19 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1 1.5
+MOP2 ja We have seen the smile of her golden to her appearance in dozens of fashion glossies and the cover of Tatler . 21 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 4 1.4
+MOP2 ja There is no contract consideration by expert opinion as the principal and seemingly little range . 15 4, 4, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.75
+MOP2 ja The file specified on the hard disk of the PC, program index , to enable a keyword search almost instantly . 19 4, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1 1.69230769231
+MOP2 ja ' Oh , it's not so bad , ' Charles weakly offer . 8 4, 4, 1, 4, 1, 1, 1, 1, 4, 1, 4, 1, 1 2.15384615385
+MOP2 ja As a drop , it has ended the program into a fire chorus ' dirty , dirty ' from the rest of the family of Alf . 22 1, 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 4 1.85714285714
+MOP2 ja John Taylor was the itinerant craftsmen who came from Oxford in 1839 to recast the church bells in Loughborough . 19 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 ja What what are you going to do next about the tweed '? ' 11 4, 1, 1, 4, 4, 4, 1, 4, 1, 1, 4, 1, 4, 1, 4 2.6
+MOP2 ja If you suggest that it should be devoted to the item at the meeting separate more time if necessary, and be flexible . 22 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 4, 1, 1, 4, 1 1.8
+MOP2 ja It was published by the company Hotonmi of ) America originally . 10 1, 1, 1, 4, 4, 1, 1, 4, 1, 4, 4, 1, 1, 4 2.28571428571
+MOP2 ja Is that a single agent does not affect the our planet as we are so much as for the sake of truth . 22 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.5625
+MOP2 ja Results - Romance of British wool - in October , is performed in one store the most prestigious of the world's largest and ( 8-18 ) . 21 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.21428571429
+MOP2 ja Why do you feel the pain instead , do you not give himself to the stupidity ? 15 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.35294117647
+MOP2 ja Open his heart in front of the camera yesterday TELEVISION presenter Keith Chegwin was recognized as "" is alcohol addiction I "" . 20 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.375
+MOP2 ja Their king , is Athaulf, they held a court of Narbonne it and establish themselves in the southwest . 17 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1 1.5
+MOP2 ja Borrower , to Mr. and Mrs. Couture , there was a £ 225,000 advance to home Silverdale Avenue , in Walton -on- Thames . 18 1, 1, 1, 1, 4, 1, 4, 4, 1, 1, 1, 1, 4, 1, 1 1.8
+MOP2 ja Rachel was sitting in the side tension of silence Damian Flint Lim . 12 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.46153846154
+MOP2 ja The fat couple checkered cooing over moondirt vacation souvenir jewelry and bouncing about like infant with low G. 18 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP2 ja The addition of associative procedure was seen to provide the possibility of kinematic assembly process a true automated in this way the modeler . 23 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4 1.69230769231
+MOP2 ja The death toll from a known revolution had been revised downwards substantially allowed to stand at 689 again by the end of January . 23 1, 1, 1, 1, 4, 1, 1, 4, 1, 4, 1, 1, 4 1.92307692308
+MOP2 ja The transporter is designed to withstand accidents , Govenrment has eliminated the possibility of radioactive leakage until recently . 17 4, 1, 4, 1, 4, 4, 4, 1, 1, 1, 1 2.36363636364
+MOP2 ja She had not been poisoned or strangled or drowned : knew that it had to be a wound to me. 19 4, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 4 2.0
+MOP2 ja We are committed to equal treatment for men and women in pension firmly . 13 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 4 1.69230769231
+MOP2 ja The most dangerous poison but swelling while know how pain , bathing is anyone that has been stepped on by mistake in the sea urchin . 24 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Plot of the game for the simple folk of us is very simple fortunately . 14 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1 1.64285714286
+MOP2 ja They report the results to the Board of Directors , led by Chairman of the subsidiary Sir Robert Ford , Marconi , GEC group of ubiquitous . 23 1, 4, 4, 1, 1, 1, 1, 4, 1, 4, 4, 4, 4, 4, 1 2.6
+MOP2 ja Let us take a look at B, the movement of the result to be non- relativistic . 16 4, 4, 1, 1, 4, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1 2.0
+MOP2 ja Reason for no good , whether business , was not found , after isolating these checks , management reduced the check to a lesser 75 . 21 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 ja The travel cost of 16 weeks of training allowance program . 10 1, 4, 1, 4, 1, 1, 1, 1, 4, 4 2.2
+MOP2 ja Let's consider , the different types of cells muscle , skin , gastrointestinal tract , such as nerve like this . 16 1, 4, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 4 1.92307692308
+MOP2 ja Bridget reported that it was much lower than the course held earlier in Avery Hill course number of Easter . 19 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.54545454545
+MOP2 ja Single Room £ 4.00 per night , extra night £ 16.00 per night 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.76923076923
+MOP2 ja You can receive a card club personalized unique that you can claim the air Miles of your shell station you have to participate . 23 4, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.5625
+MOP2 ja ' The idea is to make it easier , you are trying to get a good picture how they if they feel about their health . 23 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1 1.6
+MOP2 ja However , I think I 've had a good time she . 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Now considering the microphone did not like it was wrong , but she could not help themselves . 16 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.42857142857
+MOP2 ja Now , he knew seven years ago Kendall and not go back to Everton noble . 14 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.23076923077
+MOP2 ja It is predicted that this is , to decline to 15% a month . 12 4, 4, 1, 1, 4, 4, 4, 1, 4, 1, 1, 1 2.5
+MOP2 ja In spite of the net assets of up to £ 4.58億~ 35% Stanhope , the city has impressed the department . 18 4, 1, 4, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 4 1.9375
+MOP2 ja A little less than rich this river generous because the source had dried up ? 14 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 ja 14GHz band , are often used now to 11GHz each district of 6GHz band in C, to 4GHz. 17 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1 1.54545454545
+MOP2 ja We can plan it and I will come back again next weekend . ' 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 ja These aspects of political choice , but is still less important now than in the past . 15 4, 1, 4, 1, 1, 1, 4, 4, 1, 1, 4, 1, 4, 4, 4 2.6
+MOP2 ja She made it look a bit of a fool of anyone else you were looking at before . 17 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.375
+MOP2 ja That the Conservative Party business vote was not guaranteed yesterday has been shown that group of women last night businessmen and Northeast . 22 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1 1.5
+MOP2 ja Theory of evolution is a matter of making the inference to the best explanation . 14 4, 1, 4, 4, 4, 1, 4, 1, 1, 1, 4, 4, 4 2.84615384615
+MOP2 ja If so , they did not spend much on a decent script . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 ja Practice amp Carlsbro Sherwood 90 , acoustic combo , £ 150, of Marshall , £ 45. 11 1, 4, 1, 4, 1, 1, 1, 1, 1 1.66666666667
+MOP2 ja The strange note What was in the voice of Nick ? 10 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.17647058824
+MOP2 ja Errol and Pam have two children 16 years old and 13 . 11 4, 4, 1, 1, 4, 4, 4, 1, 4, 4, 4, 4, 4, 1 3.14285714286
+MOP2 ja Everyone assumes - - which had been thought that this is ', and will marry her now , would the end of it . 19 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.21428571429
+MOP2 ja Learning resource management at the university , human resources manager , joined as a line manager . 14 1, 4, 1, 4, 4, 1, 1, 1, 1, 1, 4, 4, 1, 4, 1 2.2
+MOP2 ja We crawl and ' sometimes he wondered pass of his level 0 , I ' over and out of the village cobbles Papa said . 21 4, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.6
+MOP2 ja In Parliament , the cry goes up : I write it ' . ' 9 1, 1, 1, 1, 1, 4, 4, 1, 1, 4, 1, 1, 1, 1, 1, 4, 4, 1 1.83333333333
+MOP2 ja In this session , "" one of the participants of the community commented , "" shows that it is the best way to overcome the differences in dialogue ' . 24 4, 1, 4, 1, 1, 1, 4, 1, 1, 1, 4, 4, 4, 1 2.28571428571
+MOP2 ja These involve the creation and distance learning and open copy , more by electrocopying ' customize , ' a pack of material for students . 20 4, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 4, 1 1.8
+MOP2 ja It seemed impossible that anyone survive in the middle of the storm of the blade . 15 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 4, 4, 1, 4, 1, 1, 4 1.88235294118
+MOP2 ja Given the artificial moonlight for three consecutive nights once a month , cycle of them have come to synchronize the rhythm of the moon female . 24 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.2
+MOP2 ja With snow abundant supply , for those who want to get off the slopes , we have a special section in this issue . 21 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 4, 1, 1 1.70588235294
+MOP2 ja Generalist administrator called economist , and statistician for the information , is a generalist in the ' on ' it in other words . 19 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja The long enough to know the value of ' my own , frustrating , "" Gina , retorted in a cynical sparkle in his eyes . 20 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1 1.5625
+MOP2 ja You are afraid , both of you , I do not thing , there is a possibility to discover mom is not dead at all . ' 22 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja SORP is an example of the accounting policies that it recommended the same for local government , and comment on . 19 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.42857142857
+MOP2 ja May pose serious health risks for people who eat them in Southern Europe and North Africa bird . 17 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.5
+MOP2 ja Months later , pain begins to relax slightly , Lisa was able with the help of Janet and get up to her room itself. 22 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.2
+MOP2 ja In such a case , the figure of goodwill can be derived from the average net profit margin , per gallon is multiplied by the daily throughput . 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 1, 4 3.30769230769
+MOP2 ja He also played an attacking innings many genuine all-rounder had a claim , in the order of the lower center to be taken into account . 24 4, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.64285714286
+MOP2 ja It was a trick of the undulating grassland along basin , in Comer guarded nature . 14 1, 4, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.52941176471
+MOP2 ja The course offers training in all-round basic communication theory tailored to the context of Africa in particular . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 ja Then , at first , he began to prepare the little boy for fate this possible gradually . 15 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.27272727273
+MOP2 ja The German I , and stand back you switch on , as brilliant robot impressed , it worked like a dream to do all the hard work . 24 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 ja She is in contact with the hand of Samson blunt nose as she wound round - a bit he - Jess . 19 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 4, 1 1.52941176471
+MOP2 ja I will give you the feeling that there was for the trip of a wonderful 7 days in the Bahamas I have a good deal . ' 25 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1 1.4
+MOP2 ja The area of maximum , Renault score is comfort and facilities . 10 1, 4, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 4 1.85714285714
+MOP2 ja The wheel pit before on this site , however , there may have been enlarged to or demolition and rebuilding of either , to take the new wheel . 25 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 4, 1 1.75
+MOP2 ja Sequence proprioceptive acted as part of the external artery along the flank them. 13 1, 1, 4, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1 1.69230769231
+MOP2 ja Everyone helped my mate said: North Harbour coach Brad Meurant. 10 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1 1.69230769231
+MOP2 ja Marks and Spencer has leap to the top slot this year , currently , in the second , third shell Glaxo . 18 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1 1.5
+MOP2 ja I produce a small , shallow crater explosive eruption called maars highly gas charged magma derived from the upper mantle . 19 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1 1.375
+MOP2 ja Risk of changes in the expected rate of return on long-term growth of the economy . 15 1, 4, 4, 4, 4, 4, 1, 1, 1, 4, 1, 4, 4 2.84615384615
+MOP2 ja She stood on the outside of the lift to the front door of the hospital and other visitors . 18 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1 1.5
+MOP2 ja Picture was similar , appear with respect to the distribution of total income manual workers women. 15 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 1.75
+MOP2 ja Fellow qualification appropriate legal executive lawyers and Laboratories . 8 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 ja They also , in order to improve the quality and quantity of provision in health and social services , it is fundamental to the fight against poverty . 25 1, 4, 1, 1, 1, 1, 1, 4, 4, 4, 1, 1, 1 1.92307692308
+MOP2 ja The such orders , had to to be laid before parliament , was discussed on December 6, 1977 there . 17 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.1875
+MOP2 ja Yes, "" as if you were talking rival academic , well , I thought Augustine that's simple little idea of him always, ' William , as a hornet , he said . 25 1, 1, 1, 1, 1, 1, 4, 4, 4, 1, 1, 1, 1, 1, 1 1.6
+MOP2 ja Origin of the success of the export of Brazil was quite different in a small commercial aircraft and military trainer . 20 4, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1 1.69230769231
+MOP2 ja I say to my officers , why we ought to care about it . 12 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 2.6875
+MOP2 ja The Princess , Mrs. Harry Cottrell was attended by traveling by aircraft in flight of the Queen . 16 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 ja The EC, does not matter to itself in education policy and public health . 13 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.42857142857
+MOP2 ja Expecting to follow them without question , leaders , or direct challenge and all decisions . 13 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 ja Why I understand now paid Macaulay Culkin $ $ 3 million they - he won it . 13 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1 1.25
+MOP2 ja Now , we will be in a string format , such as turning it . 12 4, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.69230769231
+MOP2 ja ' He was a brother with me too ,' Tundrish replied simply . 10 1, 1, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.25
+MOP2 ja The second approach , you can be too is a strategy very productive in the foreign language . 16 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja He is sure that you take a gun , go to the door , cart and horse was tied safely yet . 19 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.25
+MOP2 ja Both of writing paper and envelopes dirt , a lot of things that can be identified only belong to her father fingerprint , and Maureen . ' 23 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4 1.75
+MOP2 ja How there were more than 1,000 maybe I did not know the trees of many species . 16 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 4, 1, 1, 4, 1 1.8
+MOP2 ja The deprivation fireplace front sash windows , original wooden floors built of single wardrobe , radiator , power point , a year . 18 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 ja The result has been destroying a lot of medical advances of the year in front of each dispute . 18 4, 4, 4, 4, 4, 4, 1, 4, 1, 1, 4, 1, 4, 1, 1 2.8
+MOP2 ja It had taken less than half a minute of all escape Woil and over. 14 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.21428571429
+MOP2 ja Laughing as it was in belligerent stare her , his light in his eyes . 13 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja They , it was just a few minutes from the train station , there were many services . 15 1, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.375
+MOP2 ja Perhaps the most important all , three of the greats of all time boxing - Ali , Armstrong and Robinson - was born into a comfortable situation . 23 1, 4, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1 1.64285714286
+MOP2 ja Currently , Halifax Building Society , which put the device of their bomber is a pile of rubble . 16 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.5
+MOP2 ja You've seen for reconciliation between Marxism and dismantling Michael Ryan . 10 4, 4, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.8
+MOP2 ja There is no other catalogs , such as OXFAM Christmas catalog considerably . 11 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.4
+MOP2 ja The pumped up with ' , as long as there is no more resources , is going for this to happen , "" she said . 20 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja It was a way of thinking and behavior . 8 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 1, 4, 4, 1 3.2
+MOP2 ja Put simply , for a while , she ' Yes, ' was studied each other they . 12 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Part of the law is arranged in groups of three . 10 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 ja Strangely , international appearance of his only was for the English against Scotland League in 1914 . 15 1, 4, 1, 4, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.75
+MOP2 ja It's Saturday night , and they may not come . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 ja Discussion information provided by other sites through is kept confidential . 10 4, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.6
+MOP2 ja Somewhere , in the silence between them , the phone was the beginning of the emergency , the ring permanent . 17 4, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.64285714286
+MOP2 ja Number of notifications of instances ( is written both , on the phone ) it was required . 14 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 ja (1976 ) again and again as mentioned Montague , the social activities of the war , you must not have a relationship with the internal state of the invasion . 25 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 4, 1, 1 1.8
+MOP2 ja That , then , is the theory - but how does it work out in practice ? 13 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.64705882353
+MOP2 ja But things can only be not from the angle of the people more than the exemption limit , you look different . 20 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1 1.69230769231
+MOP2 ja It is repeated that they hear , what is called a "" democracy of Salvadorean "" is dangerous , women to the right claim . 20 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 4, 1, 1 1.5625
+MOP2 ja Chain of travel agents Thomson travel , and airlines ( backward integration ) ( forward integration ) is included . 14 1, 4, 1, 4, 4, 1, 1, 4, 1, 1, 1 2.09090909091
+MOP2 ja As they were intended , you can still see some of the historic home of London . 15 1, 4, 1, 1, 4, 4, 4, 1, 4, 1, 1, 4 2.5
+MOP2 ja Table I summarizes the clinical characteristics of these patients . 9 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4, 4 3.625
+MOP2 ja Further information SS Langer , RSC, Burlington House , Piccadilly , London from W1V 0BN. 12 1, 4, 1, 4, 1, 4, 1, 1, 1, 1 1.9
+MOP2 ja Is short Jarisch - Herxheimer reaction to the normal ' Herxheimer ' reaction , I follow the initial dose of the treatment of syphilis in the proportion of cases . 25 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 ja Ideally if you have a vision in order for people to send them , it supports the work of finance , this is not necessary . 23 4, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1 1.69230769231
+MOP2 ja If you look around the room , old furniture in wear , I noticed that Herbert must be very poor . 18 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP2 ja Sitting in the office of the gym in Peel Park , trophy will stay there still . 15 1, 1, 4, 1, 1, 1, 1, 4, 1, 1 1.6
+MOP2 ja Homology search of the Swiss Protein database Leeds and were not able to detect a significant similarity to other proteins . 20 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1 1.5625
+MOP2 ja There is a possibility that you have something to do with the murder of angry it ' . 16 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Generates the stability of the economy grazing , ranchers , say feed the nation by referring to themselves as guardians of the west . 21 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1 1.64285714286
+MOP2 ja This man , was buried here in the fourth century . 9 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 4, 1, 1, 4, 4 3.2
+MOP2 ja They start the question , they begin to see the dream . ' 10 4, 4, 1, 4, 4, 1, 1, 4, 1, 1, 4 2.63636363636
+MOP2 ja I work on the principle of "" ion exchange "" soft water . 10 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 1, 4, 4, 1 3.2
+MOP2 ja Many of them offer a mail order service 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 ja He looked radiant, Athelstan with pride his face . 8 4, 1, 1, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1 1.92307692308
+MOP2 ja Responsibility had upset her considerably , although she was used to drive a luxurious Serving By this time first. 18 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.27272727273
+MOP2 ja 'PLO was trying to interfere with the departure of Muslims . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 ja Old rival ITS similarly priced BEAT, MOTOROLA is , get off the gloves at a price POWERPC WITH fight the Pentium 20 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.1875
+MOP2 ja Like many of the assumptions of popular subject matter , this is wrong . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 ja That charge was political persecution , from his hiding place , Mutalibov told Izvestiya in Russia . 14 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1 1.8
+MOP2 ja Market model Commercial Union , explained 25% of the variation of the return . 12 4, 4, 1, 4, 1, 4, 4, 1, 4, 4, 4, 4, 1, 1, 4 3.0
+MOP2 ja The proposition of me , I will want to assure you , the mutual benefit of our . ' 15 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja In the Gospel of John only , he does make an interesting statement and one deep curiosity . 16 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1 1.5
+MOP2 ja They were back from the work of repair and construction of construction day army base in Omagh . 17 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 ja All in the hotel everyone is ordered calm in the first world : chocolate swimming pool state-of-the-art , satellite TV , pillow at night . 21 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Is ... 4 hole , the roof had to be burned off in one area . 13 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1 1.46153846154
+MOP2 ja It seems strange to reach out of economic cooperation to the same country as the friendship that we are threatening mass extinction . 22 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1 1.64285714286
+MOP2 ja In the 1960s , the building was transformed successfully rather the gallery for art in the Bohemian Josef Pilar and CuBr of František . 22 1, 1, 4, 1, 4, 1, 1, 1, 1, 1, 4 1.81818181818
+MOP2 ja However, it her , the other part , cried for mere idea of wife of others . 14 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja The tapestry of the first of Morris , is located here , design and fabric of his are everywhere . 17 4, 1, 1, 1, 4, 1, 1, 4, 4, 1, 4, 1, 4, 1, 1, 1 2.125
+MOP2 ja It is expected or investigation of these problems and are diverse . 11 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.25
+MOP2 ja COS-B satellite between December 1978 and August 1975 to observe the 2CG342 -02 5 times , cataloging it as the 10th strongest γ -ray source . 21 4, 4, 1, 4, 4, 1, 1, 4, 1, 1, 1, 1 2.25
+MOP2 ja He said ' We sent a rescue team of us as much as possible as quickly as possible , but it was too late we ' . 23 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.27272727273
+MOP2 ja But not all , but like a Saturday night really is not . ' 11 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 ja When that failed, he was full of hope for what is not to be missed 15 4, 1, 1, 4, 1, 4, 4, 1, 1, 4, 4, 1, 1, 4, 1, 4 2.5
+MOP2 ja I , on the argument , invited my attention to Section 5 ( 7 ) He also , you need to add that you mention it to me . 23 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.4
+MOP2 ja Group I of the bottom , I was delighted at the top of the image , as a mirror image , and you copy it once . 23 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 ja From then on , the path to the double helix was obvious . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 ja Political , economic accounting is related potentially Therefore the benefits of soil conservation program costs and for others in the affected areas directly outside . 23 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 ja In addition , he Do you agree that it is necessary to reopen the police station in the neighborhood , focus on community policing ? 22 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP2 ja Seal the text , Edward of two weeks later , issued it to all sheriff . 13 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Since then , full-length TV shows so many have followed sharply . 10 4, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1 1.69230769231
+MOP2 ja Questionnaire sent by mail is not returned , the interview will be rejected . 12 4, 1, 1, 1, 1, 1, 4, 1, 4, 4, 4, 4, 1, 1 2.28571428571
+MOP2 ja Twice , I ran into dangerous so close to the edge , eyelids drooping my eyes and dazzled . 16 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 ja The operation , troops of more than 35,000 will participate from 9 countries at least in the end. 17 1, 1, 1, 4, 4, 4, 1, 4, 4, 4, 1, 1, 1, 1, 4 2.4
+MOP2 ja UI does Mase marketing arm of mere USL requirements and body longer . 12 1, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1 1.6
+MOP2 ja The ' post- report , I'm in the business of Needham ! ' 9 1, 1, 4, 4, 1, 1, 1, 1, 1, 4, 1 1.81818181818
+MOP2 ja Before describing how to tackle the race course , sailor one quickly , is worth a look at whether to go another more it . 22 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.375
+MOP2 ja In the back of something , but they looked to his features as if you want carved from stone stirring gaze . 20 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.25
+MOP2 ja The topics of both , however , the current situation has changed dramatically compared to 1979 . 14 4, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.8
+MOP2 ja These percentages were not uniform across the country : determining what had been provided by the local cuisine . 17 1, 4, 1, 4, 1, 1, 4, 1, 4, 4, 1, 4, 4, 1, 1, 1 2.3125
+MOP2 ja ' I can not hear anything , I ' said angry pastor . 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja We may never know the exact number of the dead ' . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 ja These were rejected on 17 and 18 April respectively . 9 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 ja About 20 years , women , art , the association is a synthesis of the work is progressing for the visual arts and women . 21 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1 1.69230769231
+MOP2 ja He has not been established less than two charity school twenty- only Pembrokeshire at his own expense . 17 4, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1 1.75
+MOP2 ja You can bend the pipe soil deformation during an earthquake , as if it were a strand of copper wire they . 20 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.54545454545
+MOP2 ja The way to achieve this "" new Pentecost "" already , he knew that it was the Council within a few days of his election . 22 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1 1.6
+MOP2 ja In order to follow Jesus as disciples , we mean that you are facing in the opposite of living like him too . 21 1, 1, 1, 1, 4, 1, 1, 4, 4, 1, 1 1.81818181818
+MOP2 ja Ran into turf wheels he gets wet , and shot in the chest and wrinkles whole machine , like an animal , and fell to his knees . 24 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 ja Jenna is stopped and faced him angrily , but before she can speak , he tilting the face at the hands of strong brown . 22 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.1875
+MOP2 ja ' Look at you , I ' travesties I do not see the Grainne , and said softly . 14 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.23076923077
+MOP2 ja One Beaufighters newly arrived 252 Squadron (T3237) , was wrong for a while Ju88 local flight the next day . 17 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 ja After you went to sleep , and fascinated by the night of Scandinavia , Carrington saw the sea for the first two hours . 21 4, 1, 4, 1, 1, 1, 4, 4, 1, 1, 4, 1, 1 2.15384615385
+MOP2 ja Are recorded as cot death originally , there was no hearing at all , we will have a hearing today . 18 4, 1, 1, 1, 1, 4, 4, 1, 1, 4, 1, 4, 1 2.15384615385
+MOP2 ja It was a far cry from the court of the golden city on the horizon . ' 15 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4, 1 3.35714285714
+MOP2 ja If I threw a glass of water you this in an interview , in the sense that it would be a political act ' politics . 23 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.5
+MOP2 ja I said the victim and fumbling , for her smoke again ' now going solo , so ' . 14 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Here , there are various applications of 10 for the book ; 10 1, 4, 1, 4, 1, 4, 1, 4, 4, 1, 1, 1, 1, 1, 1, 4, 1 2.05882352941
+MOP2 ja Still deep ' , the old Michael , I should imagine . 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja The main difference between Sections 18 and 20 , is in a failed element , it is a considerable difference . 18 4, 1, 4, 4, 1, 1, 4, 1, 1, 1, 1, 1 2.0
+MOP2 ja Ideal for small flat , washer / dryer is as sophisticated as one utility room of the main house . 17 1, 1, 4, 1, 4, 1, 4, 1, 4, 1, 1 2.09090909091
+MOP2 ja The lobby is , now that he was a pastor . 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Ministers to arrive from Moscow , the deputy chairman of the Council of Boris system Chelmsford Bina , Committee of Government , prohibited evacuation of countryside around Chernobyl . 25 4, 1, 1, 1, 4, 1, 4, 1, 1, 4, 1, 1, 1 1.92307692308
+MOP2 ja Depending on the expectations , it was associated with increased volatile weekend . 11 4, 4, 1, 1, 1, 1, 1, 4, 1, 1, 4, 4, 1, 1, 1, 1, 1 1.88235294118
+MOP2 ja The Madonna of Santarem , there is a tradition in our family that is reunited with their owners at all times , do you know it? 24 4, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 4 2.0
+MOP2 ja As it's beta version , it is tricky to give a star rating of ClarisWorks . 14 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 1, 4, 1 3.14285714286
+MOP2 ja I was getting a good night's sleep is all she had to . 12 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.27272727273
+MOP2 ja Motility and Intraoesophageal pH, were examined 4 days of each treatment period . 12 4, 1, 4, 1, 1, 1, 1, 4, 4, 4, 1, 1, 4, 1 2.28571428571
+MOP2 ja All credit to the ' Gavin and a little persuasion , I gave the ball to me in the end. 18 4, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.6
+MOP2 ja The first draft of the Prelude , were written in Germany during the winter of up to 9-1798 . 17 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.4
+MOP2 ja Soldiers are not allowed the tobacco freely anymore . 8 1, 1, 4, 4, 4, 1, 4, 1, 4, 1, 1 2.36363636364
+MOP2 ja In the criminal trial , it is not a court in order to bring out the truth . 16 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 4 1.70588235294
+MOP2 ja ' It is a crime man , Haberi is ' What 's opinion of his voice ? ' 12 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.25
+MOP2 ja Beatles cut neat Dustin is disturbed somewhat , close-up of a mole has been there in his right shoulder . 18 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Poetic words ridiculously most of all , shows the weakness of the speaker after the ' headpiece filled with straw ' fact at all, come . 22 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.35294117647
+MOP2 ja ' I cried when the voice of anyone who was called was asked and I thought it was some weirdo : ' It's me ! ' 21 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.46153846154
+MOP2 ja ' I should not be , ' attendant said , but I smiled widely then . 11 1, 1, 4, 1, 1, 1, 4, 1, 4, 1, 1 1.81818181818
+MOP2 ja Well ' , it is , it is not a bad idea what? 10 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 ja That there is no need he wrote , the surface is covered , the beauty of the glass is this . 18 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 ja Finally , cougars types are used in about eight years ago , has passed its maximum , he suggests that Mirage resembles cougars . 20 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.46153846154
+MOP2 ja Said I have a good word to me ' , but withdrew his head , "" Brigadier General , and open the door . 18 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Slogans and ideas of some , has received a brief hearing another in these days of wall motion ' of democracy from 1979 to 1978 of ` . 24 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.4
+MOP2 ja The Metropolitan Police Department , photographer , who is damages , was wounded in the spine Wapping dispute was settled in the High Court claim of Anthony Walsh , . 25 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1 1.52941176471
+MOP2 ja If you get another couple of Shilling out of it , I did not win them ' me? 16 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja ' We have a lock-on tail to Tweed already . 8 1, 4, 4, 4, 4, 1, 1, 1, 1, 1, 4, 1, 1, 4 2.28571428571
+MOP2 ja Look at the face with a pock mark anxiety young , blonde hair trimming , and worried eyes , he was to be , cold and hard . 23 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.23076923077
+MOP2 ja I indicated build store not only durability hence . 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.2
+MOP2 ja , Identify the notes and queries for immediate follow-up to fill the gap . 12 1, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4 3.30769230769
+MOP2 ja And he blows the smoke back in my mouth . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 ja By another scientist team , genetic spray Dr. Julia Dorin , which had been described as a development very exciting . 18 4, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.81818181818
+MOP2 ja Highway yard old Rigby Road , seemed to provide the ideal site in the connection of the railway . 17 4, 1, 4, 4, 1, 4, 4, 4, 4, 1, 4, 1, 1, 4, 4 3.0
+MOP2 ja Jodami found a significant extra gear in the car and end Wild Rushing Jodami and jumped last together . 18 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.25
+MOP2 ja Is it possible to co-exist with reference to the rich poverty of the private sector ? 15 4, 1, 4, 1, 4, 4, 4, 4, 1, 1, 1, 1, 4, 4 2.71428571429
+MOP2 ja Claims to it , from where it retired his , looking at anxiety and some , I do not think No Cadfael . 19 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.1875
+MOP2 ja I was told Ardakkeans strong superhumanly, and is invulnerable to the threat of life most . 15 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja She wrote a few words of these to him passionately : 10 4, 4, 1, 4, 4, 4, 4, 1, 1, 4, 1 2.90909090909
+MOP2 ja Villagers fight to prevent the sale of common ancient 9 1, 4, 1, 4, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.8
+MOP2 ja There are various ways which can be obtained Recovery : - 9 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.4
+MOP2 ja With ' road , it 's a long way to go , I just have to walk kilometers across the field beyond the farm . 20 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.2
+MOP2 ja It is a fable , such as accurate body consciousness notes from the underground and . 14 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.3
+MOP2 ja With a crew of the movie , we sat in front of Robin rushes us. 14 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 ja Masses of Arab resentment was expected to rise to the leaders of the west side of their parents in the western humiliation of Saddam Hussein . 25 1, 1, 1, 1, 1, 4, 1, 1, 4, 4, 4, 4, 1, 4, 1 2.2
+MOP2 ja Director Neil Cossons, the Science Museum , I'm sure you can restore the old number . 14 4, 4, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1 1.92307692308
+MOP2 ja However , retake exam , students are allowed to count the perfect score usually win an exception because of a missed inspection through such diseases . 23 4, 4, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 4 2.07142857143
+MOP2 ja It will be a good exercise acoustic string phone to compare the electrical system purely in Part 1 (November 1991 ) . 19 4, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.64285714286
+MOP2 ja Role of the state was more pronounced in Berlin of cultures . 11 4, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1 1.70588235294
+MOP2 ja TRIP of AID provides lessons in fear and poverty in the Third World students 14 4, 4, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1 1.85714285714
+MOP2 ja Her anger faded to be , noticed his finger was trembling , she replaced rather than hope and optimistic wild . 18 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 ja In the jargon of quantum mechanics , this choice of action , is called statistics the particles follow . 16 1, 4, 1, 4, 1, 1, 1, 4, 1, 4, 1 2.09090909091
+MOP2 ja It is possible to format or spreadsheet of your manual , to design speedformat routine of your own . 17 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.54545454545
+MOP2 ja ' Ash , dust dust earth , ashes to the earth ... ' 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.21428571429
+MOP2 ja ' It happened that Churchill far without Poor 5 Air School , was not there than from the mine hidden during the Boer War , it ' Clifford recalls . 25 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.5
+MOP2 ja I , for example , need to buy carpet and wallpaper how much I enjoy working with numbers 16 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.3
+MOP2 ja In addition , the test will be easier in the future , but it should be cheaper too . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 ja Then , I turned the picture round , and I completed the two sides of the other . 15 4, 1, 1, 4, 4, 1, 4, 1, 4, 4, 1, 4, 1, 1 2.5
+MOP2 ja If so , they can share their knowledge with us? 9 1, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 1 3.14285714286
+MOP2 ja I cant tin horizontally mixture and tip the mixture prepared tin . 11 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja However , there is something similar to the sun . 8 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.78571428571
+MOP2 ja The U2 last night , the company announced a new video interference attractive of themselves with a grand bash at the planetarium of London ... 23 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 4 1.81818181818
+MOP2 ja But Mr. Leggatt hoped the lack of space for burial does not lead to a restriction in the future . 19 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 1, 4, 4, 4 3.35714285714
+MOP2 ja It shows the prevalence of esophagitis in adult asthma population is clearly higher results. 14 4, 4, 4, 4, 1, 1, 1, 1, 4, 1, 1, 1 2.25
+MOP2 ja For this reason , for which a very successful , it was suitable for the production of plywood in practice. 18 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 1.46153846154
+MOP2 ja However , I would like to have something to point to if they have built you a good road and rail . 20 1, 4, 1, 4, 4, 4, 4, 1, 4, 1, 4, 1, 1 2.61538461538
+MOP2 ja Do you can give a name to his disciples '? The ' , I asked one journalist . 14 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Tony Tom Frode , and odd Knut wait for us to arrive. 11 4, 4, 4, 4, 1, 4, 4, 1, 1, 1, 1, 1, 4 2.61538461538
+MOP2 ja It can be tuned to give a crystalline energy , white line shows the electric force of the body 18 1, 4, 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 4 2.07142857143
+MOP2 ja Gift of making a comfortable environment with minimal resources . 9 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 1, 1, 1 2.84615384615
+MOP2 ja One of the network in the United States , want a television interview . 12 1, 1, 1, 1, 4, 1, 1, 1, 4, 4, 1, 4, 1, 1, 1 1.8
+MOP2 ja Companies trust medical research , health , youth , environmental protection , employment and , Guinness is offering financial support to organizations who are involved in the arts and education . 25 4, 4, 1, 1, 1, 1, 4, 4, 4, 1, 4, 1, 1, 1, 4, 4 2.5
+MOP2 ja Gang of Muslim extremists believe her story , the result was disastrous . 11 4, 4, 1, 4, 4, 1, 4, 4, 1, 1, 1, 4, 4, 1 2.71428571429
+MOP2 ja The rain turns on the campground their mud , it will fill the water tank of Famagusta . 16 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.42857142857
+MOP2 ja Workshops and the second devised , Polytechnic of Napier , was designed to prepare the staff of the University for the validation event . 21 1, 1, 1, 4, 1, 1, 4, 1, 4, 1 1.9
+MOP2 ja Questions can be asked speakers ( see below ) , by the player ( would throw or simply ) or simply have thrown 18 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja And they , I wish them to or we do? X. 10 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Less immediate , but there was a large potential impact of the limiting factor of the second . 16 1, 1, 4, 4, 4, 1, 4, 1, 4, 1, 1, 1, 4, 4 2.5
+MOP2 ja I hope to carry them out , just that there is a responsibility and still seems to me that she is making all the rules it . 25 4, 1, 1, 1, 1, 4, 4, 4, 1, 1, 1, 1, 1, 1 1.85714285714
+MOP2 ja Nest is complete, the men set off in search of the woman . 12 1, 4, 1, 4, 1, 4, 4, 1, 1, 1, 4, 1, 1, 4 2.28571428571
+MOP2 ja They made it clear that it was the victim of marital rape , them . 13 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.375
+MOP2 ja The government , . , Which has plans investments in projects of sustainable development and reforestation , to reverse the process 17 4, 4, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.8
+MOP2 ja He is not willing to compare the railway of England and France . 12 4, 1, 4, 4, 4, 4, 4, 1, 4 3.33333333333
+MOP2 ja Place the child on his back , and remove debris of any in his mouth with a finger by turning his head . 21 4, 4, 4, 4, 1, 1, 1, 1, 1, 4, 1, 1 2.25
+MOP2 ja Strach may be 37 , but who really gives a shit ? 10 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 ja In return , the church cut a figure somewhat uncertain . 9 1, 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 4, 1, 1 1.85714285714
+MOP2 ja However, the offer is rejected is almost certain it . 9 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.42857142857
+MOP2 ja Smile , Harry put the letter back in the envelope . 9 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 4, 1, 1, 1, 4, 1 1.70588235294
+MOP2 ja As the top of the night , I would look great on the beach under the jacket or blouse under the considerable work for it . 24 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja They also , please read the representative works of modern Chinese history and tradition , literature , philosophy , religion . 16 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 ja He says his friends want to know all the secrets of his . 12 1, 4, 4, 1, 1, 1, 1, 4, 4, 4, 4, 4 2.75
+MOP2 ja You sophisticated , if you prefer brass finish , it is the cost and good choices Brass Dream fire £ 399 by Valor . 20 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.4
+MOP2 ja If you've done it ' , so far , it is a miracle of the maximum has been done since the days of Jesus people exactly . ' 23 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 ja She was temporarily suspended in order to kick something in the dark , pick it up . 15 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja ' I 'm from India back just , ' he announced that important . 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja It's like the discovery place every time an object you different but interested in going back is you . 18 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 ja While reticent about Ferguson is sociable , McLaren holds a lawyer of his own . 13 4, 4, 1, 4, 1, 1, 1, 4, 4, 1, 1, 1 2.25
+MOP2 ja I think she made a last attempt one deacon before departure . 11 4, 1, 4, 4, 1, 1, 1, 4, 1, 1, 1 2.09090909091
+MOP2 ja Air Show : famous red arrow is to provide a spectacular finish to the South Air Show . 16 4, 4, 4, 4, 4, 4, 1, 1, 4, 1, 1, 1, 4 2.84615384615
+MOP2 ja Add juice and orange peel and grated , eggs , sugar , cornstarch , and ginger . 12 1, 1, 1, 1, 1, 1, 4, 4, 1, 4, 4, 1, 1, 1, 4 2.0
+MOP2 ja If there is a referee younger than me , it will prove that someone has the courage true . 17 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.4
+MOP2 ja Pack : Minimal Packaging Some are designed to reduce waste during manufacture. 11 1, 1, 4, 1, 1, 4, 1, 1, 4, 4, 1, 1, 1, 4 2.07142857143
+MOP2 ja Mannikin ran before jump , of Cranston up and down the capital . 11 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.2
+MOP2 ja You must Matey for potato peeling 'to me , you must be ready for your guests to take the night of surgery . ' 20 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1 1.33333333333
+MOP2 ja It is said to be a candidate for another for DON HOWE take the NEW YEAR INTO U.S. R4 this morning . 21 4, 4, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.75
+MOP2 ja It is one of the way the Holy Spirit is to evoke a prayer to people of Messiah . 18 1, 4, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 4, 1, 1 1.8
+MOP2 ja The owner of Sega is larger in the department of pants . 11 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 4, 1, 1 1.8
+MOP2 ja I want to know her business , I 'm sick just outside hiking and reporters inside . 14 1, 1, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1 1.64285714286
+MOP2 ja Or if , go into her kitchen , and interference . 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja However , in 1976 , local governments in East London , was able to publish the benefits to business of each region . 19 1, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1 1.5
+MOP2 ja This price and product detailed description , might be what the contents of the complaint , or idea , of new products . 19 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1 1.46153846154
+MOP2 ja Accounted for 15% for 28.5% of total loans from London in 1991 , Japanese banks other banks , the Bank of America 40.7% in London . 23 4, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4 1.85714285714
+MOP2 ja Before it was due to what they have left , mother of Catherine had come a day home . 17 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja And wants to Twickenham meeting with either Hitchin or Kidderminster Carolians in the finals . 14 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4 1.75
+MOP2 ja And then who was Elsie , what happened to her? 9 4, 4, 1, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4 3.30769230769
+MOP2 ja Staring at his eyes , look at the curb hunger there , her heart seemed to be reduced then to swell inside of her . 22 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 4 1.75
+MOP2 ja Happiness of enlightenment and transformation , penetrate to the marrow of the bone very his . 14 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja - One of the respondents in the control sample , had owned two of the fourth and three characteristics , all three . 19 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1 1.42857142857
+MOP2 ja You wonder why - but , I mibbe to be thanks to the MA 12 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.25
+MOP2 ja This thick , is an important Bernese Alps Special region , skirt reading a book of previous somewhat . 16 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1 1.5
+MOP2 ja Beautiful flowers and dark stripes , fast , strong interior of golden yellow and fragrant , honey , purple tinged with the plain gray on the outside , . 23 4, 1, 4, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4 2.07142857143
+MOP2 ja There is considerable knowledge of young people about the harmful effects of smoking , people who take or smoke , do not go outside of purely ignorance . 25 4, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1 1.75
+MOP2 ja If they are wise , they , and where they are , do not say they . 13 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.21428571429
+MOP2 ja Annual sales of tandem was 24 % increase $ 1.6 billion . 9 4, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1 1.69230769231
+MOP2 ja The Gwyneth Woody , Roihatazuri was muttered about commissioned the old people like garbage when I said was dismantled health services secretly we . 22 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.21428571429
+MOP2 ja Man could you please get off freely without scar was discarded and his wife and children for another woman ? 19 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP2 ja Cats Protection League Bazaar , Congress Room , Royal Baths Assembly Rooms , Crescent road . 12 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.6
+MOP2 ja I'm worried about the impact on the 600,000 people considered their findings , and are affected by the release of radiation . 20 1, 4, 1, 1, 4, 4, 1, 1, 4, 1, 4, 1, 4, 1, 1, 1 2.125
+MOP2 ja Viol tried to flag down another one , but the driver was ignoring him . 13 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 ja Macro function of cross- application -oriented graphical programming tools, and application programming interface is also provided . 15 4, 4, 4, 4, 4, 4, 1, 4, 1, 1, 4, 4 3.25
+MOP2 ja Third , uncertainty surrounds the future of the industry now . 9 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.57142857143
+MOP2 ja As everyone knew , to raise the Arab army against Turkey on its own , it has not been led by him , ? 20 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 1.42857142857
+MOP2 ja It is essential for both the holiday schedule and planning of the cooperation plan closest to and from each unit manager and distribution officer . 24 1, 4, 1, 4, 1, 1, 4, 1, 1, 4, 4, 1, 4, 4, 1 2.4
+MOP2 ja There is no sign of learning from '10 that robust criticism , body convincing no evidence , failed ' . 15 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 4 1.46153846154
+MOP2 ja The survival time , I was defined as the period between the death and surgery . 14 1, 4, 1, 1, 1, 1, 1, 4, 4, 4, 1, 1, 1, 1 1.85714285714
+MOP2 ja The , 32 Mr. Tadgell, she rented a flat in Australia and Joanna and progresses to waitress at the casino from cleaner . 21 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.23076923077
+MOP2 ja Just eyeing the Thalys to tremble carefully same eve , Daurog to go about their business . 15 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.17647058824
+MOP2 ja I asked my friend from Scotland Yard to help . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 ja The children fell back on either side without noise and glared indignantly about him , Jenks said , and marched along the corridor . 21 1, 4, 4, 4, 4, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 4 2.3125
+MOP2 ja Detective your detective story , of course , walking around in search of information . 12 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 ja So , you are working on a political model of peer group and meaning photography ? 14 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1 1.5
+MOP2 ja It is not like the old days people used to live in the city and village , knew or something that great-great- grandpa horse thief . 24 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.42857142857
+MOP2 ja Directives , speech that was reported to be had to the application of election and parliamentary paper is now available . 19 1, 4, 1, 1, 1, 1, 4, 4, 4, 1, 1, 1 2.0
+MOP2 ja About running north-south , with it lying Ryknild Street between also , as is another ; branch north of the road Tiddington 19 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.1875
+MOP2 ja That bathroom feel free to ask , ' If you want to use yourself . 12 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.23076923077
+MOP2 ja When the Indians went to hunt , or for animals , whether for Indian rival , firepower they were fatal . 17 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja One in three women said they is not getting enough respect from men and boss . 15 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1 1.375
+MOP2 ja ' After the end of a great team of our ' 86 us for a while , were building a sand castle - is collapse all the time they . 25 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 ja I was raised in order to find that everyone was the Colonel Fagg to this establishment strangely stunned by courtesy amiss . 21 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1 1.42857142857
+MOP2 ja I recorded eight years ago a double level - one person is showing signs of poor health in six trees of all of Switzerland . 23 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 ja LEFT: during a session at the Hampshire Lepestone point , decorator Kevin Burton and painter , latch on plaice of 14 ounces 2 pounds of this initial . 25 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja It is estimated that 65 % of the transaction is spot , rest and are getting forward . 15 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.5
+MOP2 ja Mob as gathered , assistant military attache asked Andrew for pipe performance episode of Reykjavik . 14 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.17647058824
+MOP2 ja This was the need to qualify later call to the bar . 11 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 ja I look out he comes here , for this man ' . ' 9 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 ja I think ' I would not have been mischief gon you have a fit . 13 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja He was not able to go through it again everything . 10 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.5625
+MOP2 ja Will you help you find what happened we '? ' 8 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1 1.375
+MOP2 ja To give the skills required to perform ( relating to Rule 4 ) children without difficulty simple mathematical functions 17 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP2 ja Distinction of equality in use and distribution of social services and equity is essential to discussions on health disparities . 19 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4 3.57142857143
+MOP2 ja After you have the tea , I would go to bed me. 11 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Malt dispatch purchase of barley , intake , laboratory , dipping , germination , and the kiln was included in the tour comprehensive . 18 1, 1, 1, 4, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1 1.64285714286
+MOP2 ja After all , was the only command of the small force he was able to break the system . 17 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.3
+MOP2 ja ' I did not want to be a superstar , I wanted to be able to play just right . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 ja Registration organization of ship Lloyd's Register , the largest , being sued in the United States in the fire ship 159 people died two years ago . 24 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.42857142857
+MOP2 ja Not preclude , of course , this is an important social reality is that crime and violence in modern society . 18 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 ja They are , in a game about Kappa energetic 4-A- side and volleyball net strung between palm trees two . 18 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja The administrative structure of the partnership with the emphasis of different institutions to coordinate , tend to suppress the unusual in any case . 22 1, 1, 1, 4, 1, 1, 4, 4, 4, 4, 4, 1, 1, 1, 1, 4 2.3125
+MOP2 ja While he told me about his childhood , we walked outside Gloucester around solemnly and in the precincts of the cathedral . 20 1, 1, 4, 4, 4, 1, 1, 4, 4, 4, 1 2.63636363636
+MOP2 ja ( By UK standards ) reasonable that a few days of writing my plan , dawned it is pointed out that day . 19 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 ja Whether has important pathogenic directly as Wegener's granulomatosis , the autoantibodies has not been determined. 14 4, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.64285714286
+MOP2 ja In response TV , press publicity incident spread , urged the civil rights march on August 24, Dungannon years from Coalisland. 19 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.46153846154
+MOP2 ja Of course , seeds , is much richer in nutrients than the fleshy coating of any . 14 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.1875
+MOP2 ja Angler has been accused contamination for reduction in the number of fish in several sections of the river Severn and Avon . 21 4, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1 1.6
+MOP2 ja The O- level Robin children , and refused to absolute magnitude , marking time , he refused it and gave way to GCSE within the class of all . 25 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1 1.375
+MOP2 ja Do you aware of the obstetric interventions change practice rate ? 10 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.46153846154
+MOP2 ja It is a lotion of light , oil-free makeup remover with synergy Ultra Gentle Eye and extract of rose , £ 2,99 / 200 ml soothing properties . 23 1, 1, 4, 1, 4, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.8
+MOP2 ja Physical as well as moral recognition , therefore , Tate and Stewart , was the impermanence of the world degradation of more energy . 20 1, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 4, 1 1.92307692308
+MOP2 ja This rule will be subject to ( see Chapter 5) number of exceptions . 12 4, 1, 4, 4, 1, 1, 1, 4, 1, 4, 1, 1, 4, 4 2.5
+MOP2 ja Malcolm , have collected an old piece of 10p on behalf of his daughter for a kidney transplant association . 18 4, 4, 1, 1, 4, 1, 4, 1, 4, 4, 1, 1, 1, 1, 1 2.2
+MOP2 ja We would like to thank Ken Byron to set up the required journal of many dance and drama education . 19 1, 1, 4, 4, 1, 1, 1, 4, 4, 1, 1, 1, 1 1.92307692308
+MOP2 ja I was associated with gastroesophageal reflux undoubtedly cycling . 8 1, 1, 4, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1 1.69230769231
+MOP2 ja True , the tape of Tom , as opposed to the story of the ghost of bedtime , it is a scientific analysis to this tone . 23 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 ja As suggested in argument , it would be to swallow the elephant and strain gnats certainly . 15 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 1.375
+MOP2 ja First job that takes a typing course , will have me , I have moved the 50 miles up the road here desperately . 21 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Dr. Banda wave the fly of his moment related whisk . 10 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 ja Both were former members leftist extremist Red Army (RAF). 8 4, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 4, 1 2.07142857143
+MOP2 ja However , in any case I am grateful for your help "" - change - again her tone "" . ' 14 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Tickets Sergeant 6155 , an extension from 6331 ( telephone 091 567 Gordon Perkin from . 13 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 ja Your joking about Porsche think , I please do not you ? 10 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 ja They expressed their anger with the pious ballads obscene echo of the story down under . 15 1, 1, 4, 4, 1, 1, 1, 4, 4, 1 2.2
+MOP2 ja Religion: Christian ( Orthodox Bulgaria ) , Islam is practiced by a small number of large and small Pomak Turkey . 17 1, 4, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.5
+MOP2 ja Doctor , "" do not have here is black dog I said ' . 10 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Learning skills, manipulative as typing like this takes time . 9 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP2 ja Located in the wall of the corridor in front door phone joint us. 13 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Mr. Carpenter said: ' all victims were frail and elderly . 9 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 1, 1 3.35714285714
+MOP2 ja They say a gay you are known , you can believe it , "" the third has been added we ' . 17 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1 1.46153846154
+MOP2 ja BALANCED calcium intake , means the health YOU TOMORROW than today 10 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4 1.5
+MOP2 ja The bishop , when he moved into the house 10 years ago , was on the market for 18 months , it had become run down very . 24 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1 1.52941176471
+MOP2 ja He said, ' I thought might help the student anti- draft the military camp around when I go to America ' and . 20 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.2
+MOP2 ja Candidates may need to be taken into account when fixing the schedule and people from their own separate other , are as follows . 22 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1 1.6
+MOP2 ja Before she realizes , her mouth was to form a word . 10 4, 4, 1, 4, 1, 1, 1, 4, 4, 4, 4, 1, 1, 1, 1 2.4
+MOP2 ja Water temperature : temperature range ° of normal 72 -76 ° F. 8 4, 4, 1, 4, 1, 1, 1, 4, 4, 1, 1, 1, 1 2.15384615385
+MOP2 ja It is a painful start off surface as red mark first . 11 1, 1, 1, 4, 1, 1, 1, 1 1.375
+MOP2 ja What are we really ' , thinking , are struggling in the time of this point , and we do is about what ? ' 19 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 ja I do not think Chris and band and know each other well at a time . 15 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.2
+MOP2 ja The ' Donna , we said that it should call the police . 10 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja It is like to moist alkaline pH of a little more normal , than is found in the ( usually slightly acid ) vagina , moist and airless place . 25 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 4 1.75
+MOP2 ja Ann Magnuson of Bongwater also carries incense for incandescent , Kim Gordon , is carcinogenic Zippo in full flame . 17 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.27272727273
+MOP2 ja Now, she , she noticed that it had two doors to most rooms in the house , that it was looking closely . 20 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 ja Being conscious that was thirsty at least , Shelley , drank these , and was a long afternoon it both . 17 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 ja But now , they argue the cost of free accounts is too high . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 ja Pallistar and Bruce is injured , but what happens if you have a ( decent ) cover any of them . 17 4, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.64285714286
+MOP2 ja However , his mother has been arrested , was now to him to be responsible for the revolt in Poitou it . 19 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 ja However, there are people you know , brilliant punch , is to ride again at some point in the future still . 19 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 4, 1, 1, 1 1.70588235294
+MOP2 ja The size of the average household , it has declined from 3.09 in 1961-1987 to 2.55 will continue to ( Table 2.6 ), respectively . 21 1, 4, 1, 1, 4, 1, 1, 4, 1, 1, 1 1.81818181818
+MOP2 ja That dialogue is expressed , form is one that suits the subject and mood of dialogue best . 16 1, 1, 1, 1, 1, 4, 1, 1, 4, 4, 4, 1, 4, 4 2.28571428571
+MOP2 ja She had come to England from Berlin in 1930 , and I had begun her studies at Central School of Arts and Crafts . 22 4, 1, 1, 4, 1, 1, 4, 4, 1, 1, 4, 4, 1 2.38461538462
+MOP2 ja That it is one of the women elected prince has its drawbacks . 12 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 ja At least , Ferdinand , now , she knew what a lot of English that has been said to pen him to feel important . 21 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.16666666667
+MOP2 ja As if to remember his manners , he saw the invitation Nicandra he . 12 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.375
+MOP2 ja ' Two methods - ask a beginner , ' a trembling voice from outside the door said . 13 1, 4, 1, 4, 4, 4, 1, 1, 4, 1, 1, 1, 4, 1, 1, 4 2.3125
+MOP2 ja Outdoors in spring seed to sow , or divide the plant in the spring , allow ( 2 feet ) 60 cm between plants . 20 4, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.75
+MOP2 ja Chapman was impressed with his knowledge of football injury immediately Whitaker had become an expert in his field by 1925 . 20 4, 1, 4, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1 2.07142857143
+MOP2 ja Dexter , speculation had begun to share the same nagging feeling of depression since the end of the interview with Parkin , she had tormented him . 24 1, 4, 1, 4, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.75
+MOP2 es We still have the house of the widow , and Lincolnshire is lovely in May. ' 14 1, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.18181818182
+MOP2 es My first real friend was probably a boy named Adam . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es He wore denim overalls and with a bucket and a brush. 11 1, 4, 4, 1, 1, 4, 4, 4, 1, 1, 1, 1, 4, 4 2.5
+MOP2 es In the following year he had custody of the castle of Rochester. 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Booking is essential for a bike ride Wirral Country Park on Sunday when the leader will be Cheshire ranger Barry Jackson. 21 4, 1, 1, 4, 4, 1, 1, 4, 1, 1, 1, 1, 1 1.92307692308
+MOP2 es This expression is known as the fundamental theorem of Riemannian geometry . 11 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 es Greg Hocking was one of those rare people who drift into teaching and found , to his surprise , absolutely made for the job. 22 4, 4, 1, 1, 1, 4, 1, 1, 4, 4, 1, 4, 4, 1 2.5
+MOP2 es In the exercise of functions to a new minister will be responsible for many of the departmental policies . 18 4, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.6
+MOP2 es When Rhun in kindness gave an arm to lift your knees , still hung heavily , desperately clinging to his humility. 19 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 es The figure shows how the A- measure per unit area varies with reading the radiometer . 15 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4 3.35714285714
+MOP2 es In some pubs serve beer handpumps fake gas . 8 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1 1.5
+MOP2 es Indeed , complaints are often many control requirements are of TEC . 10 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1 1.52941176471
+MOP2 es Preliminary work began last September, following the appointment of two field officers who are employed full time on the project. 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es This is , of course , only a trend , and the removal of the largest local police , central police can reduce this effect. 21 4, 4, 1, 1, 4, 1, 4, 4, 4, 1, 1, 1, 1, 1, 4 2.4
+MOP2 es Tod has other dream that is a woman. 8 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.21428571429
+MOP2 es Valuable coaching can often come from the theater school tutors who can give a fair assessment of the possibilities you may have before the audition . 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Because simulated annealing is a stochastic algorithm , different runs of probeorder not necessarily produce the same output probe order . 19 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.5
+MOP2 es Although the music was lively , moving arms only . 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 es But the report also blasts authority bosses for not controlling the activities of the 58-year- old Mr. Watney , who retired early last year. 23 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.75
+MOP2 es Some, of course , respond personally ( had included shipping) . 8 4, 4, 4, 4, 1, 1, 4, 1, 1, 4, 1, 4, 1, 1, 1, 4, 4 2.58823529412
+MOP2 es Four of these areas large or larger than our moon. 10 1, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1 1.6
+MOP2 es The cafe itself is so full of smoke that I feel out on a bench . 15 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 es The surface need not be perfectly flat or even . 9 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.6
+MOP2 es Since this work has been done , the draft schedule can be examined in closer detail - and probably torn . 18 1, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 1 3.0
+MOP2 es There are 5,733 empty housing , nearly 2,000 of which have been empty for over a year. 16 4, 1, 4, 1, 1, 1, 1, 1, 4, 4, 4, 1 2.25
+MOP2 es Heath ( 3.3 ) summarizes a tradition influential and long tradition in the study of class differences in education. 17 1, 4, 1, 4, 1, 1, 4, 4, 1, 4, 1, 4, 1, 1 2.28571428571
+MOP2 es This phase is believed to have been controlled by reactions between salt solutions associated with sediments and Permian volcanic rocks and underlying Devonian rocks . 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es And its price - the price can be extremely useful . 9 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4 3.4
+MOP2 es There was significant improvement in the care of the miners in the clinic Mansfield , however , as this was much closer to their homes . 23 4, 1, 4, 1, 1, 1, 4, 1, 4, 4, 4, 4, 1 2.61538461538
+MOP2 es Gere and Basinger star in the erotic thriller Final Analysis that Warner Home Video is released in the October 18 video libraries . 22 1, 4, 1, 1, 1, 4, 4, 4, 1, 1, 1 2.09090909091
+MOP2 es I get my disappointment and sympathy at the same time. 10 4, 1, 4, 4, 4, 4, 1, 4, 1, 4, 1 2.90909090909
+MOP2 es The horse took off like an arrow from a bow. ' 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es The British Horse Society is anxious to find out why a third of them should have occurred just this year. 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.76923076923
+MOP2 es Made with Pertex fabrics and filling Quallofil 7 , Kompakt Lite weight only 1.2 kg and, stuff sack , reduced to 7l . 20 1, 1, 1, 4, 1, 4, 4, 4, 1, 4, 1, 1 2.25
+MOP2 es In exceptional circumstances , the Head of Department waived the withdrawal clause if there is a reasonable explanation for the lack of notification. 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 1, 1 3.29411764706
+MOP2 es The strategy has been so successful in the field of science and technology encountered serious problems when applied to complex social systems . 22 4, 1, 4, 4, 1, 1, 1, 4, 4, 1, 4, 1, 1, 1 2.28571428571
+MOP2 es Small specimens are sometimes confused with Synodontis petricolor . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es They called out in the very early stage and it was hot , very hot . 14 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 1, 4 3.4
+MOP2 es Your muscles , though not as tight as those of a young man swelled with the effort. 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 1 3.4
+MOP2 es The review copy is a solid black , but the basic model is oiled . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 1, 4, 4, 4 3.4
+MOP2 es Loving a man who was like a louse . 8 4, 1, 4, 4, 4, 4, 1, 4, 1, 4, 1, 4, 1 2.84615384615
+MOP2 es This fundamental movement can not take place except in a liquid medium . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Upper Stowe Stowe was once called Butter London because the company collects butter here . 14 4, 4, 1, 1, 1, 4, 4, 1, 1, 1, 4, 1 2.25
+MOP2 es Induction of adhesion in certain subsets of T cells by specific cytokines would make the process more flexible lymphocyte recruitment and selectively. 22 4, 4, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1 1.9375
+MOP2 es If I had been in your place I would have walked right over it. ' 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es He closed his eyes and saw the movement of his chest had stopped. 13 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.625
+MOP2 es A friend to everyone who knew ... much loved and missed . 10 1, 4, 1, 1, 1, 1, 4, 1, 4, 4, 1, 4 2.25
+MOP2 es - But he missed - walls were built on it , the paper had disintegrated. ' 12 4, 1, 1, 4, 4, 1, 1, 4, 4, 4, 1, 1, 1, 1, 1 2.2
+MOP2 es He's going to buy a new typewriter, that old thing practice makes a noise like the trumpet of a candyman . 20 4, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1 1.8
+MOP2 es It is among the qualifiers for the Lancome Trophy in Paris . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Robe for you ? - Protest amazed Laura replied ,"" I would make time . 11 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1 1.5
+MOP2 es The maximum length prior to combustion boilers 10.5kW and 18kW output was three meters. 14 4, 4, 4, 4, 1, 4, 1, 4, 4, 1, 1, 4, 1, 4 2.92857142857
+MOP2 es Getting up slowly like an automaton , went to the counter and picked up the receiver . 15 4, 1, 1, 4, 1, 1, 1, 4, 1, 1, 4, 1, 1, 4, 4, 1 2.125
+MOP2 es They were like cogs working together, fitting into place when and where they were needed . 15 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 es We're supposed to call the Lowfields or continue as before ' The Stand New East '? 14 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 es Supplement per person per night £ 135 for the first night , 105 EUR for each additional night (minimum 2 people). 18 4, 1, 4, 1, 4, 4, 4, 1, 4, 4, 1 2.90909090909
+MOP2 es You must obtain a certificate of posting , which is available for free at the counter. 15 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 es Second, retained 25 percent of the funds out of the system capitation formula for discretionary allocations . 16 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 1, 1, 1 2.92857142857
+MOP2 es The modernization and industrialization of the nineteenth century Britain changed the map population. 13 1, 1, 4, 1, 1, 1, 4, 1, 4, 4, 4, 4, 1, 4, 4 2.6
+MOP2 es Pallister 's rivals are: Steve Bruce (Manchester United) , Stuart Pearce (Nottingham Forest, Paul McGrath (Aston Villa) , Gary Lineker ( Spurs ) , Ray Houghton (Liverpool ) . 17 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 1 3.25
+MOP2 es This shows that the company has learned nothing from this lesson. 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Here we have an uninterrupted view of the prospect , and what a glorious prospect is , stretching far away for miles on each side. 23 4, 4, 4, 4, 4, 1, 4, 1, 1, 4, 4, 4, 1, 4 3.14285714286
+MOP2 es Left Debenhams wool jumper , 24.99 pounds ; chambray cotton shirt , € 15.99 , loop, 7.99 pounds ; Mill ropes washed, € 29.99 , Gibson casual shoes , £ 34.99. 21 4, 1, 4, 1, 1, 4, 4, 4, 1, 4, 4 2.90909090909
+MOP2 es Orthodox Judaism still teaches a separation developed the menstruating woman from contact with the men in her family. 18 4, 4, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.75
+MOP2 es A recent survey revealed architectural issues in the 60 years of age in the Treatment Church Road. 17 4, 1, 4, 4, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 4 2.2
+MOP2 es The fireplace in question was put in a huge wall that divides part of the main room. 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es She Burrows was another example of dedicated service. 8 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 4, 1, 1 1.64285714286
+MOP2 es It is an act of courage to start over in a garden , and proof of insurance for own design capabilities . 20 1, 1, 4, 4, 4, 4, 1, 1, 1, 1, 1, 1 2.0
+MOP2 es This deliberate emphasis unreliable and hurtful past relationships of young people raises a dilemma for residential workers . 17 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 1.375
+MOP2 es The law of July 29, 1881 stated, "" the publication and a free press . 13 1, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4, 1, 4, 1, 4 3.0
+MOP2 es From what I can see we can go to Dersingham or the man himself. 14 4, 1, 1, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4 3.07692307692
+MOP2 es Turn them into public gardens and create an attractive place of an eyesore . 13 4, 4, 4, 4, 1, 4, 1, 4, 1, 1, 4, 4, 1, 4 2.92857142857
+MOP2 es Mr. Hawke last week reiterated its support for the recruitment of new airline pilots abroad and rehire their former drivers in individual contracts . 23 4, 1, 1, 4, 4, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1 1.9375
+MOP2 es Julie , it is believed , tried to run for it , back along the wooded path Elizabeth was broken. 17 1, 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.42857142857
+MOP2 es In February, the council refused to allow a variation of hours . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Nine schools from three Midlands LEA, will be identified by in-depth study , following a questionnaire survey . 16 4, 4, 1, 1, 1, 4, 4, 1, 4, 1, 4, 4, 1, 4, 1 2.6
+MOP2 es It's when you see the pretense of neutrality , as it should be , as a farce that damage to the judicial system. 21 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.4
+MOP2 es Some of the trees , vegetation and animals were mechanical creations of Mirage Enterprises. 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.78571428571
+MOP2 es I say that because that's what I think, although it could be that even she . 15 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.46153846154
+MOP2 es Julie husband Tim was crying at the tomb of St. Botolph in Church Brampton , Northants . 15 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.23076923077
+MOP2 es They are scripts for NCR System 3000 , Sun , HP and IBM host DECstation . 13 4, 1, 1, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.2
+MOP2 es Invite the person closest to you to give you an honest opinion on the degree of diplomacy you exhibit . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.8125
+MOP2 es We have seen your golden smile on the cover of Tatler and figure in dozens of trendy fashion magazines . 19 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 4 3.53846153846
+MOP2 es There is little room and apparently without regard to a contract by the appraiser as principal. 16 4, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4 2.0
+MOP2 es The rates specified in the program files on the hard disk of the PC to allow almost instantaneous search keywords. 20 1, 4, 1, 4, 1, 1, 4, 4, 4, 1, 4, 1, 1 2.38461538462
+MOP2 es And the show ended as it dropped into the fire of a chorus from the rest of the family of "" unclean, unclean ' Alf . 23 4, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 4, 4 2.0
+MOP2 es John Taylor was an itinerant craftsman who came to Oxford in 1839 to recast the bells of the church in Loughborough. 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Be flexible , if necessary suggest more time is devoted to a topic in a separate meeting . 16 4, 1, 4, 4, 4, 4, 1, 1, 1, 1, 1, 1, 4, 1, 4 2.4
+MOP2 es It was originally published by the American company Houghton Mifflin ) . 10 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 4, 1, 4, 4, 4 3.4375
+MOP2 es For the truth is that no single agent affects our planet as much as we do. 16 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 1, 4, 4, 4, 4 3.47058823529
+MOP2 es Those days are gone , thanks to our measurements. 8 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.66666666667
+MOP2 es Glass exploded and destroyed everything around as the wind and rain storm broke down the hall toward them. 18 4, 1, 4, 4, 4, 1, 1, 4, 4, 4, 4, 4, 1 3.07692307692
+MOP2 es Lay participation in service management fell , instead , community health councils were created to represent the public. 16 4, 4, 4, 1, 4, 4, 4, 1, 1, 4, 4, 4, 1, 1, 1 2.8
+MOP2 es The result - The Romance of British wool - will take place in one of the largest and most prestigious stores in the world in October ( 8-18) . 25 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 es Why not surrender to the stupidity of it, instead of feeling anxiety ? 12 4, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 4 3.53846153846
+MOP2 es TV presenter Keith Chegwin opened his heart before the cameras yesterday and admitted ""I am an alcoholic. 16 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.75
+MOP2 es They settled in the south -west , and its king , Ataúlfo , held court in Narbonne . 13 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 1, 4, 1 3.25
+MOP2 es Borrowers , Mr. and Mrs. Clothier , had a € 225,000 advance on his home in Silverdale Avenue, Walton -on -Thames . 16 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 1, 1, 1 2.71428571429
+MOP2 es Couple of fat in holiday plaids , bouncing on the children and the low g cooing over moondirt souvenir jewelry . 19 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.27272727273
+MOP2 es The Presidential Council initially appeared designed to replace the CPSU Central Committee Politburo as the main headquarters in the Soviet Union political decision. 23 4, 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 1, 1, 4 3.2
+MOP2 es The affection . Knight said the proposal was half . 8 1, 4, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.6
+MOP2 es Adding an associative this procedure modeler is seen to provide the possibility of mounting a process kinematics truly automated . 19 1, 4, 1, 4, 1, 1, 1, 1, 1 1.66666666667
+MOP2 es The conveyors are designed to withstand accidents , and until recently the Govenrment ruled out any possibility of a radioactive leak . 20 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 es I knew I had to have a wound : she had not drowned or strangled or poisoned. 16 4, 1, 4, 4, 1, 1, 1, 1, 4, 4, 1, 1, 1 2.15384615385
+MOP2 es Now , only half of the company's revenue comes from mainframes : the new strategy means selling smaller machines , operating software based on industry standard ""open"" . 23 1, 4, 4, 1, 4, 4, 4, 4, 1, 4, 1, 4, 4 3.07692307692
+MOP2 es We are firmly committed to equal treatment of men and women in pensions. 13 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.78571428571
+MOP2 es He will report to a board headed by Sir Robert Telford , president of Marconi , a subsidiary of GEC omnipresent. 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Take the movement A and B nonrelativistic so . 8 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 es A training allowance and travel expenses for the 16 -week program. 10 1, 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.4
+MOP2 es Note the different cell types , such as muscle , skin, gut, and nerve . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Bridget reported that the number for the Easter course were much lower than in the previous courses held in Avery Hill . 21 4, 1, 4, 4, 1, 1, 4, 4, 4, 1, 1, 4 2.75
+MOP2 es Single room £ 4.00 per night , extra night £ 16.00 per night 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 1 3.4375
+MOP2 es ( 13 ) , who were also unable to detect an P3A + α subunit transcription in muscle of chicken, beef or mouse , the mouse thymus torpedo electric organ . 24 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.17647058824
+MOP2 es Because the area around Cullbridge is rich in rare species. 10 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.53846153846
+MOP2 es In a late spring cold can be difficult to graze outside the rye in time to work up a good farm for beets. 23 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 es Dogs Today thoroughly enjoyed and try to convey all the right things to do to our scallywag present , Monty , but not impressed . 22 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 es In the 1880s Neanderthal remains were found more alike , and many paleontologists began to argue that comprise a distinct species intermediate between apes and humans. 25 4, 4, 1, 4, 1, 1, 1, 1, 4, 4, 4, 1, 1 2.38461538462
+MOP2 es You will receive a personalized card with the distinctive club that can claim that Air Miles at participating Shell stations . 20 1, 4, 1, 4, 4, 1, 1, 1, 1, 1, 4, 1, 1 1.92307692308
+MOP2 es The idea is to make it easy and try to get a good picture of how they feel about their own health. 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es In almost all investigations of any size , a researcher may be occupied full time taking depositions during the first days after the accident. 23 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4, 4 3.625
+MOP2 es She had days off to Hickstead and his mother sent a note to say , ' Deirdre has its attack bilius and not entered . 22 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 es But I think I had a good time . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Thinking now Mike was bad, it was disgusting, but I could not help it. 14 4, 4, 4, 4, 1, 1, 1, 4, 4, 1, 1, 4, 1, 4, 4, 4 2.875
+MOP2 es At this time, Kendall is not new to the aristocratic Everton met seven years ago. 15 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.1875
+MOP2 es Australia would be happy if the agreement led to the reopening of the Panguna copper mine , one of the largest in the world . 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Is expected to drop to 15 % in April. 8 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4, 4 3.6
+MOP2 es Although net assets up 35 % to £ 458 million in Stanhope , the city is not impressed with the sector. 18 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 4, 4, 1 3.30769230769
+MOP2 es Because a source less abundant and less generous than this river had dried ? 13 1, 1, 4, 1, 4, 4, 1, 4, 1, 4, 4, 1 2.5
+MOP2 es C and Ku bands , 4 GHz to 6 GHz and 11 GHz to 14 GHz , respectively, are widely used . 19 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4 3.53846153846
+MOP2 es I'm going back again next weekend and I can plan it. ' 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es These aspects of political choice are still important, but less now than in the past. 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es She did look a little foolish in front of anyone else who was watching . 14 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.5
+MOP2 es A group of businessmen and women from the northeast last night indicates that the business vote Tory not said yesterday . 20 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.23076923077
+MOP2 es Evolutionary theorizing is a matter of making inferences to the best explanation . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4 3.625
+MOP2 es If so , they had not spent so much on a decent script . 12 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.6
+MOP2 es Carlsbro Sherwood 90 , acoustic combo , 150 pounds , Marshall practice amp, 45 pounds. 12 4, 4, 4, 1, 1, 1, 1, 4, 4, 1 2.5
+MOP2 es What was this strange note in the voice of Nick ? 10 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4, 1, 1, 1, 4, 1 2.875
+MOP2 es Pam and Errol have two children , aged 13 and 16 years of age. 13 1, 4, 1, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 1, 4 3.0
+MOP2 es How about learning to change things for the better and not just learn to adapt to the way things are now ? 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.78571428571
+MOP2 es It was thought - everyone assumes - would marry her once, and that would be the end of it . 17 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.375
+MOP2 es We offer services that are in the world , fully integrated and comprehensive . 12 1, 4, 4, 4, 4, 1, 1, 4, 4, 1, 4, 4, 4, 1, 4 3.0
+MOP2 es The chief of staff resources management studied in college and joined the company as a line manager . 17 4, 1, 4, 4, 1, 4, 1, 4, 4, 4, 1, 1, 4 2.84615384615
+MOP2 es The remedy for static quality primary rules scheme is the introduction of what we call ""rules of change. 17 4, 1, 4, 4, 1, 4, 1, 4, 4, 1, 1, 1, 4 2.61538461538
+MOP2 es Much now depends on how active a role the U.S. prepares to play Israel chivvy along to meet the Egyptian proposals . 21 4, 4, 1, 1, 4, 1, 1, 4, 1, 1, 1, 4 2.25
+MOP2 es Sometimes I wonder how it happened levels 0, ' Dad said we crawled over the cobblestones and outside the village. 19 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1 1.5625
+MOP2 es In the Houses of Parliament , raised the cry : "" Burn it down . ' 11 1, 4, 4, 4, 1, 4, 4, 1, 1, 1, 4, 4, 4, 4, 4 3.0
+MOP2 es These involve much more open and distance education and creating copy and electrocopying , specific research , material packages for students. 19 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1 1.69230769231
+MOP2 es It seemed impossible that anyone could survive the storm of blades. 11 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 es When women were given the artificial moon for three consecutive nights once a month , their cycles became synchronized with the lunar rhythm . 22 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.75
+MOP2 es True, it was driven by the same mercenaries devoutly ambitions of some of his colleagues and sought artistic satisfaction whenever possible . 21 1, 4, 1, 4, 1, 1, 4, 1, 1, 4, 4, 1, 1 2.15384615385
+MOP2 es With snow in abundance we have a special section in this issue for those of you who want to leave the track. 22 4, 1, 4, 4, 1, 4, 1, 4, 4, 4, 1, 4, 1 2.84615384615
+MOP2 es In other words, the general manager calls for economists , statisticians , etc. information , but it is the generalist who is 'visible' . 19 4, 4, 4, 1, 1, 4, 4, 1, 4, 4, 4, 4, 1, 4 3.14285714286
+MOP2 es You fear , the two , that I could discover mom is not dead at all, is not it ? ' 17 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 es The SORP recommends the same to the local authorities and gives examples of accounting policies to be commented on . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.78571428571
+MOP2 es Having decided to be back racing with the tide, began a desperate race cumbersome along the edge of the tray to the breakwater. 23 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 es The birds could pose a serious risk to the health of people who eat in North Africa and southern Europe. 20 4, 4, 1, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 4, 1, 4 3.25
+MOP2 es After a month , the pain began to subside a little and Lisa was able to get up to your room with the help of Janet . 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Figure goodwill in such cases can be derived from the average net profit margin per gallon , times the daily performance . 20 4, 4, 1, 4, 4, 4, 1, 1, 1, 4, 1, 1 2.5
+MOP2 es He also had pretensions to be considered a true all-rounder , having played many episodes of attack in the lower middle order . 21 4, 4, 4, 4, 4, 1, 1, 1, 4, 1, 1, 1, 1 2.38461538462
+MOP2 es It was a natural basin protected , a trick of rolling meadows along the corner. 14 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP2 es The basic course provides training particularly in communication theory , especially geared to the African context . 15 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.625
+MOP2 es Then , slowly at first, began to prepare the child for the possible fate . 13 4, 4, 4, 4, 1, 1, 4, 1, 1, 1, 1, 4, 4 2.61538461538
+MOP2 es My German worked like a dream, like a robot bright lights and stand back and admire as it does all the hard work . 23 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.375
+MOP2 es Jess - blunt nose contact while Samson 's hand curled around - bit him. 11 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.4
+MOP2 es It is excellent for skiing and jumping movements sides can be used , the calves are well drawn and also develop posture, balance and coordination. 24 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1 1.69230769231
+MOP2 es Along its sides are matrices of proprioceptors in part act as external arteries . 13 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.33333333333
+MOP2 es North Harbour coach Brad Meurant said : ""Everyone helped his teammates. 9 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.6
+MOP2 es This year , Marks and Spencer has jumped to the top slot , Shell is now the second and third Glaxo . 19 4, 4, 4, 1, 1, 4, 1, 4, 4, 1, 1, 4, 4, 1, 1 2.6
+MOP2 es Highly explosive eruptions of gas charged magma from the upper mantle produce small, shallow craters called maars . 17 4, 4, 1, 4, 4, 4, 4, 1, 4, 4, 4, 1, 1, 4, 4, 1, 4 3.11764705882
+MOP2 es Risk of changes in the expected rate of long-term growth of the economy. 13 1, 4, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4 3.25
+MOP2 es He stood outside the elevators at the main entrance of the hospital with other visitors . 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es The picture is similar in relation to the gross income distribution among manual workers . 14 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 es Lawyers and suitably qualified Fellows of the Institute of Legal Executives . 11 1, 4, 1, 4, 1, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.14285714286
+MOP2 es They are also essential to improve the quality and quantity of the provision of health and social services , and the fight against poverty. 23 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 es The origins of the export success of Brazilian military instructors and small civil aircraft were very different. 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4 3.6
+MOP2 es In my officers , that says why should we bother . 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.23076923077
+MOP2 es In the last two years of the war orbiting visit each station and fleet in my endless search for Pathfinder . 20 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 es The EC does not address education policy or national health . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4 3.6
+MOP2 es The leader makes all the decisions and instructions issues , waiting to be obeyed without question. 15 4, 1, 4, 1, 1, 1, 1, 4, 1, 4, 4, 1, 1 2.15384615385
+MOP2 es Our research researchers ventured into central London to see if the main street shops are dog-friendly and if not, why not ? 21 4, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.53846153846
+MOP2 es Is this type of string formats that we now turn . 10 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 es He's been with me too , Brother - Tundrish answered simply . 9 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.6
+MOP2 es Of the 18 patients who were alive at short term follow up (mean (range) 19.4 ( 10-33 ) months ), 14 were still alive in 1992 ( 69 ( 61-83 ) months). 24 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4 3.4
+MOP2 es The second approach can be a very productive strategy in a foreign language too. 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.75
+MOP2 es He took the gun and went to the door , making sure the horse and carriage were still securely tied . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Both envelopes and writing paper have lots of fuzzy fingerprints , the only identifiable members of Maureen and father. ' 18 4, 4, 1, 1, 1, 4, 4, 1, 1, 1, 4, 1, 1, 1, 1 2.0
+MOP2 es I do not know how many species of trees that had , perhaps more than 1,000. 15 1, 1, 4, 1, 1, 4, 4, 1, 4, 1, 1, 4 2.25
+MOP2 es Sheet the front window , original fireplace, built in lockers , radiator , power points , stripped wood floors . 15 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 4, 1 1.75
+MOP2 es It was expected that the overall level of HIV infection 15-20000000 height for 2000 , of which at least three-quarters would be in the developing world . 25 4, 4, 1, 1, 4, 1, 1, 4, 4, 1, 1, 1, 1 2.15384615385
+MOP2 es The result has been to destroy much of the advances in health care during the years prior to each dispute . 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Woil leakage was over, and that everything had lasted less than a minute and a half. 16 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.46153846154
+MOP2 es The laughter in his eyes when he found his belligerent look . 11 4, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.6
+MOP2 es They were just minutes from the train station , the service was frequent. 12 4, 4, 4, 4, 4, 1, 4, 1, 4, 4 3.4
+MOP2 es Perhaps most significant of all , three of the all-time great boxing - Ali , Robinson and Armstrong - born in comfortable circumstances . 19 1, 4, 4, 1, 4, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1 2.0
+MOP2 es The Halifax Building Society , where terrorists had planted the device , is now a pile of rubble . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Michael Ryan has sought a rapprochement between deconstruction and Marxism. 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es No other catalog quite like the Christmas catalog OXFAM . 9 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 4 1.8
+MOP2 es Unless more resources pumped in , this is going to happen,"" he said . 12 4, 1, 4, 1, 4, 1, 1, 4, 4, 4, 4, 1, 1 2.61538461538
+MOP2 es It was a way of thinking and behaving. 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es On a slow surface , both groups rolled straight bowlers and batsmen were reluctant to take risks to break your line. 20 4, 4, 4, 1, 4, 1, 1, 4, 1, 4, 1, 4, 1, 1 2.5
+MOP2 es Throughout the discussion information provided by other sites is kept confidential. 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.72727272727
+MOP2 es A prime minister can not safely delegate scrutiny because, once enacted, these rules affect the daily lives of 56 million British citizens. 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Somewhere in the silence between them began a telephone , urgent persistent ring . 12 4, 4, 1, 1, 4, 1, 1, 1, 4, 1, 1 2.09090909091
+MOP2 es In a number of cases required reminders ( both in writing and by phone ) . 13 4, 1, 1, 1, 1, 4, 1, 1, 4, 1, 4, 1, 1, 4 2.07142857143
+MOP2 es As Montagu ( 1976 ) has pointed out time and again , the social activity of war need not have any relation to the internal state of aggression. 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es This, then , is the theory - but how does it work in practice? 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es However, things may look somewhat different from the perspective of just above the exemption limit . 15 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 1, 1, 4, 1 2.92857142857
+MOP2 es Repeating what you hear , women in the just claim that something called "" Salvadoran democracy "" is in danger. 17 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.21428571429
+MOP2 es Thomson Travel includes an airline ( backward integration ) and a chain of travel agencies (forward integration) . 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es A new Methodist student chaplain has been appointed. 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Few of London's historic houses can still be seen as planned. 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Table I summarizes the clinical characteristics of these patients. 9 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4 3.35714285714
+MOP2 es Langer SS information , RSC , Burlington House, Piccadilly , London W1V 0BN . 10 4, 1, 4, 1, 4, 1, 1, 1, 1 2.0
+MOP2 es The Jarisch -Herxheimer reaction usually shortened to the "" Herxheimer "" , following the initial dose of the treatment of syphilis in a proportion of cases . 22 4, 4, 4, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 2.07142857143
+MOP2 es Looking around the room , in the old , old furniture , I realized that Herbert has to be very poor . 18 4, 1, 4, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4 2.07142857143
+MOP2 es They will be joined by John Tierney and John Kerr . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es However, the trophy is in Jim's office in Peel Park and stay there . 13 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1 1.5625
+MOP2 es Homology searches of the Leeds and protein databases Swiss unable to detect any significant similarity with any other protein. 19 4, 4, 4, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1 2.07142857143
+MOP2 es It could have something to do with the murder of Angy . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es The ranchers , who see themselves as the guardians of the west, say the grazing generates economic stability and feeds the nation. 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es This man was buried here in the fourth century . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es They begin to question, and begin to dream . ' 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es A water softener works on the principle of "" ion exchange "" . 10 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.53846153846
+MOP2 es Steve Jones ( speaking specifically about Jones' jealous Christianity) : "" Many people are simply uncomfortable to some people "" over religion "" or whatever . 20 4, 4, 4, 1, 1, 4, 1, 4, 4, 1, 1, 4, 1 2.61538461538
+MOP2 es The Lorne plateau is formed by Devonian andesites and tuffs that are contemporaneous with the intrusion and mineralization Lagalochan and Dalradian schists overlie the unconformity . 25 1, 4, 4, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.85714285714
+MOP2 es He looked at Athelstan , his face beaming with pride . 9 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4 3.53846153846
+MOP2 es She was used to drive the luxurious Saab at the time, although initially had responsibility considerably unnerved . 17 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1 1.6
+MOP2 es We want to give children positive memories that can use during difficult times in the country to build a better country. 21 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 4, 1, 4, 1, 1, 1 1.88235294118
+MOP2 es The PLO attempted to sabotage the march of Muslims. 9 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 es MOTOROLA GETS THE GLOVES OFF IN YOUR RIVAL BATTLE OLD , PRICE TO BEAT PRICES POWERPC PENTIUM 16 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 es Like a lot of popular assumptions about it , this is wrong . 11 4, 4, 4, 4, 1, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.4375
+MOP2 es Mutalibov Izvestia said , from his hideout in Russia, that the charges were politically persecuted . 14 4, 1, 4, 4, 1, 1, 1, 1, 4, 4, 4, 4, 1, 4 2.71428571429
+MOP2 es For Commercial Union market model explains 25 percent of the variability of returns . 13 4, 4, 1, 1, 1, 1, 4, 4, 4, 1, 1, 1, 1 2.15384615385
+MOP2 es My proposal , I assure you , would be to our mutual benefit . ' 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Only in the Gospel of John does not make a curious and deeply interesting statement . 15 1, 4, 4, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.9375
+MOP2 es They returned for repair and construction work one day at a military base in Omagh . 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.78571428571
+MOP2 es Among the best hotels of all first world ordered calmly pools state - of-the -art, satellite TV and chocolates on your pillow at night. 22 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1 1.54545454545
+MOP2 es In an area ... four rooms had their roofs burned. 9 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.4
+MOP2 es It seems strange to extend the hand of friendship and economic cooperation to the same countries that are threatening mass extermination . 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es The buildings are quite successfully transformed into a bohemian art gallery and Josef František Cubr Pilar , in the 1960s . 19 1, 1, 1, 4, 1, 1, 4, 4, 1, 1, 4 2.09090909091
+MOP2 es But the other part had cried against the very idea that she is the wife of another . 17 1, 4, 4, 4, 4, 1, 1, 1, 4, 4, 1, 4, 1, 1 2.5
+MOP2 es It is expected that these problems or investigations to be diverse. 11 4, 1, 1, 1, 4, 1, 4, 1, 1, 4, 4, 1, 1, 4, 1, 1 2.125
+MOP2 es Between August 1975 and December 1978, the COS -B satellite observed 2CG342 - 02 five times and named him the tenth γ -ray source - stronger. 21 1, 1, 1, 4, 1, 1, 1, 1, 4, 4, 1, 4, 1 1.92307692308
+MOP2 es Not like a Saturday night at all , however , not really. ' 10 4, 4, 4, 1, 4, 1, 4, 1, 4, 1, 1, 4 2.75
+MOP2 es Hoping it will not be lost when it fails 9 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 1, 4, 1 3.25
+MOP2 es What would you have done if you Schemichal seized and threw you off the court like last night ? 18 4, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.6
+MOP2 es Once I was happy with the lower group copied it as a mirror image in the top of the image. 20 4, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1 1.81818181818
+MOP2 es Thereafter , the path to the double helix was clear. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Sun also is preparing your desktop Sparc Scorpion eight position for launch at the show on May 11 SunWorld . 19 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.54545454545
+MOP2 es Both political and economic accounting of the costs and benefits of soil conservation programs to others outside the affected areas is potentially relevant . 23 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 1, 4, 4 3.30769230769
+MOP2 es Do you agree , moreover, that there is a need to reopen the neighborhood police stations and put more emphasis on community policing ? 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Fifteen days later Edward sealed the text and issued to all sheriffs . 12 4, 4, 1, 4, 4, 1, 1, 1, 4, 4, 1, 4, 1, 1, 1, 4, 1 2.41176470588
+MOP2 es Since then, it has continued as sharply as many television programs of long duration. 14 1, 4, 4, 4, 4, 4, 4, 1, 1, 1, 1 2.63636363636
+MOP2 es Mailed questionnaires are not returned and refused interviews . 8 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 1.375
+MOP2 es The operation eventually involve over 35,000 soldiers from at least nine countries . 12 4, 1, 4, 1, 4, 1, 4, 4, 4, 1, 1 2.63636363636
+MOP2 es User interface will no longer be just a body requirements or marketing arm for USL . 15 4, 4, 1, 1, 1, 1, 1, 4, 4, 4, 1, 4, 1, 1, 4 2.4
+MOP2 es The autopsy report is in the business Needham ! ' 8 4, 1, 4, 1, 1, 4, 1, 1, 4, 4, 1, 1, 1, 4, 4, 1 2.3125
+MOP2 es Before explaining how to deal with a race course that is worth looking at what makes a sailor go faster than the other. 23 4, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.69230769231
+MOP2 es Although her features looked as if they were carved in stone, in the depths of her eyes, something stirred . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es These percentages are not uniform across the country : local specialties dictated what was available. 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es We never know the exact number of deaths. 8 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 es These were rejected on April 17 and 18 , respectively. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.76923076923
+MOP2 es Women , Art and Society is a synthesis of the work that has been advancing for twenty years on women and the visual arts. 23 4, 4, 4, 1, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 1 3.25
+MOP2 es Its coast was established no less than twenty-two charity schools , only in Pembrokeshire. 13 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 4, 1 1.75
+MOP2 es Ground deformation during an earthquake could bend pipes like copper wire strands . 12 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 es A few days after his election , already knew how to do this "" new Pentecost "" was an Ecumenical Council . 18 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 4, 1, 1 1.5625
+MOP2 es Following Jesus as his disciples means that we also face opposition to live like him. 15 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 es Its wheels were met with wet grass and the whole machine and fell to his knees crumpled like an animal , shot in the chest. 24 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.4
+MOP2 es Jenna stopped and glared at him , but before he could speak, she raised her face with a strong brown hand . 20 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 1, 1 3.25
+MOP2 es Carrington saw the sea for the first two hours , enchanted by the Scandinavian night , then went to sleep. 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 1 3.4375
+MOP2 es It was originally recorded as a cot death and there was no investigation , but now there will be an investigation. 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es It was far from the golden cut of Horizon City . ' 10 4, 4, 1, 4, 1, 4, 1, 1, 4, 4, 4 2.90909090909
+MOP2 es Politics in the sense that if I threw this glass of water on you in an interview, that would be a political act. 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.76923076923
+MOP2 es So you just now said the victim , groping his cigarettes again. 11 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.46153846154
+MOP2 es Here are ten varied uses of this book ; 8 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 4, 4 3.6
+MOP2 es A sports injury on the increase is the athlete or Gilmore 's groin that occurs when the groin tendon rupture due to excessive stretching and twisting . 25 1, 1, 1, 4, 1, 4, 4, 1, 1, 1, 1, 1, 1, 4, 4, 1 1.9375
+MOP2 es Ideal for a small apartment , the washer / dryer is as sophisticated as the main house laundry . 16 4, 4, 4, 1, 4, 1, 4, 4, 1, 4, 4, 4 3.25
+MOP2 es Robbie saw now that he was a clergyman. 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.8125
+MOP2 es The weekend was associated with an increase in volatility, in accordance with expectations. 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es There is a tradition in our family that will always Santarém Madonnas reunited with their owners , you know? 18 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.2
+MOP2 es As this is a beta , it is difficult to give a star rating ClarisWorks . 14 4, 1, 1, 4, 1, 4, 4, 4, 1, 1, 4, 1, 1, 1 2.28571428571
+MOP2 es All I had to do was get a good night's sleep. 11 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 es Intraesophageal pH and motility were investigated in the fourth day of each treatment period . 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es A farm TOWN is plowing ahead with fundraising plans to help people with disabilities and plans to cover in a riding area for the disabled. 25 4, 1, 1, 4, 1, 1, 4, 4, 1, 4, 4, 4, 4, 1, 1, 1 2.5
+MOP2 es All credit to Gavin gave me the ball at the end , with a little persuasion . 15 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.42857142857
+MOP2 es The first drafts of The Prelude is written in Germany during the winter of 1798-9 . 15 1, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 1, 1 2.92857142857
+MOP2 es A criminal trial is not a court to obtain the truth . 11 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 es They came to the class of true twins enjoy tacit understanding . 11 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 es Dustin Beatle Court ordered is a bit choppy and there are a closeup of a mole on the right shoulder. 20 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1 1.5
+MOP2 es In the late 1940s there was a greater number of packaged grocery lines available , and there have been improvements in the quality of packaging. 24 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.57142857143
+MOP2 es After the ' Headpiece filled with straw ' crudely poetic objective is more absurd that word around , indicating the weakness of the speakers. 21 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.4
+MOP2 es I thought it was some weird guy and when I asked who was calling the voice shouted,""It's me ! ' 18 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 es 'I should not ,' said the manager, but then smiled broadly. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es The beauty of glass , he wrote, is this, that the surface needs to be covered . 15 4, 1, 4, 1, 4, 4, 4, 1, 1, 4, 1, 4, 4, 4 2.92857142857
+MOP2 es Better one word , 'said the brigadier , removing the head and open the door. 12 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1 1.64285714286
+MOP2 es The Metropolitan Police was installed in the High Court claiming damages of cameraman Mr Anthony Walsh , whose backbone was injured during the Wapping dispute . 24 4, 4, 4, 1, 1, 4, 1, 1, 4, 4, 1, 1, 1, 1 2.28571428571
+MOP2 es If I get a couple of shillings of it , do not you worth ? 13 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.17647058824
+MOP2 es ' We have a queue that is already locked to Tweed. 10 1, 4, 1, 1, 1, 1, 4, 1, 4, 4, 4, 4, 4 2.61538461538
+MOP2 es And he blows the smoke back into my mouth. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.78571428571
+MOP2 es Genetic spray was described as a very exciting development for another computer scientists , Dr. Julia Dorin . 16 1, 4, 4, 4, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1 2.07142857143
+MOP2 es The old Highway road Rigby Yard in its train station , seemed to offer an ideal site . 16 4, 1, 1, 4, 4, 1, 1, 4, 4, 1, 4, 4, 1 2.61538461538
+MOP2 es Running Wild Jodami and jumped the last together, and Jodami found additional equipment vital to sharpen away . 17 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 es Is it possible to see the co private wealth - poverty existing business ? 12 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 4, 1 1.69230769231
+MOP2 es One of Jay slurred phrases , while pubbed and beaten and pushed through coffee mornings surf and endless cigarettes , was ' I'm a night owl , honey. ' 24 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1 1.5
+MOP2 es The Ardakkeans were said to be superhuman strong and invulnerable to most life threatening . 14 4, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 4, 1, 1, 4 2.0
+MOP2 es She wrote passionately these few words to him : 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es There are several ways you can get a recovery : - 9 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.6
+MOP2 es ' By the way , it seems a long way, but you just have to walk a mile through the field beyond the farm. 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es We have our team of the movie Robin and sat in front of our rods . 15 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 es Conservative candidate Robert Goodwill, has written to Work Marjorie Mowlam ask him to clarify his personal position on nuclear defense capability of the country. 24 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 es It was hoped that the Arab masses , outraged by Western humiliation of Saddam Hussein , to rebel against their leaders pro - Western . 21 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1 1.69230769231
+MOP2 es Neil Cossons , director of the Science Museum , trust the old numbers are recalled. 13 4, 4, 1, 1, 1, 4, 4, 1, 1, 1, 1 2.09090909091
+MOP2 es However, students taking resit exams for exceptional reasons , such as a missed exam due to illness, are generally allowed to have gained full marks . 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 1, 4 3.4375
+MOP2 es It would be a good exercise to compare electricity system with purely acoustic string telephone in Part 1 ( November 1991 edition ) . 21 1, 4, 4, 4, 1, 1, 1, 1, 4, 4, 1, 1, 4, 4 2.5
+MOP2 es The state's role was even more pronounced in Berlin in the cultural sphere . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es AID TRIP provides students a lesson in third world poverty and Fear 12 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 1, 4, 4, 1 3.2
+MOP2 es She felt his fingers trembled , and his anger vanished , replaced not by a wild hope and optimism. 17 4, 1, 1, 1, 4, 1, 1, 4, 4, 4, 1, 1, 4 2.38461538462
+MOP2 es In the jargon of quantum mechanics , the choice of this behavior is called the statistics obeyed by the particle. 19 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 1, 1, 4, 1, 4 3.0
+MOP2 es You can format the spreadsheet manually, or design your own routine speedformat . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es He reached an agreement with two actors , gave the camera crews a little private money and turned to his aides film . 21 4, 4, 4, 1, 4, 1, 1, 4, 4, 1, 4, 1, 4, 1, 1 2.6
+MOP2 es ALMOST CELIA welcomed the idea of going to work. 9 1, 4, 1, 1, 4, 4, 4, 4, 1, 1, 1, 1, 4, 4, 4, 1 2.5
+MOP2 es I can only assume that my name had respectable associations , and he thought he could ease criticism in what might be called Athenaeum circles . 24 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 es ' Earth to earth , ashes to ashes , dust to dust ... 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es It happened that Air School No. 5 was not far from the mine where he hid Churchill during the Boer War , remember Clifford . 23 4, 4, 4, 1, 4, 1, 4, 1, 4, 1, 4, 4, 4, 4 3.14285714286
+MOP2 es I enjoy things that are solved with numbers, for example , the amount of wallpaper or carpet need to buy 19 1, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 4 1.92307692308
+MOP2 es Not only the test will be easier in the future, it should also be cheaper too. 16 1, 4, 4, 1, 4, 1, 1, 4, 4, 4, 1, 1, 1, 4 2.5
+MOP2 es Then I turned around and completed image the other two sides . 11 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.375
+MOP2 es If so , could you share the knowledge with us ? 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Tip the mixture into the prepared pan and tilt the tin to level the mixture . 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.76923076923
+MOP2 es But in the sun there is something similar . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es My social worker gave me asked if I wanted advice adoption or foster care , and said building (which was a white family ) . 21 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 es The results show a high prevalence of esophagitis in adult asthmatic population . 12 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.57142857143
+MOP2 es For this reason, it was really only suitable for the manufacture of plywood, to which was a huge success. 19 4, 1, 1, 1, 1, 1, 4, 4, 4, 1, 1, 4, 4, 4, 1 2.4
+MOP2 es But I think they have something to say if they have built good roads and railways , etc. . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.75
+MOP2 es Can you name the disciples? He asked a reporter . 9 4, 1, 4, 1, 4, 1, 4, 1, 4, 4, 1, 4, 1, 4 2.71428571429
+MOP2 es Tom - Frode , Odd - Knut and Tony wait till we get . 10 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.4
+MOP2 es The white lines show the electric force that the energy body that gives crystals can tune 16 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.46153846154
+MOP2 es Gift to create a pleasant environment , with minimal resources. 9 1, 4, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 4 1.85714285714
+MOP2 es An American networks want to do a television interview . 9 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1 1.6
+MOP2 es Guinness provides financial support to organizations dedicated to medical research , health , youth, the environment and job retention and business trusts , education and the arts. 24 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4 3.53846153846
+MOP2 es A Muslim extremist group believed his story , and the results were terrible . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es The rain that would become his camp in clay, and fill the tanks of Famagusta . 15 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 1.27272727273
+MOP2 es The second workshop , designed by and Napier Polytechnic , was designed to prepare the university staff for a validation event. 19 4, 4, 1, 4, 4, 1, 4, 1, 4, 1, 4, 4, 4, 4 3.14285714286
+MOP2 es Questions can be asked by the President ( see below) or player who just released ( or have just thrown) 18 1, 1, 1, 4, 4, 1, 4, 4, 4, 1, 1, 4, 4, 4, 1, 1 2.5
+MOP2 es The second limiting factor was less immediate , but the greatest potential impact . 12 4, 4, 4, 4, 1, 1, 4, 1, 4, 4, 1, 4, 1 2.84615384615
+MOP2 es I think that makes all the rules and expected only to carry out and be responsible . 16 4, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.64285714286
+MOP2 es Once the nest is finished, the man goes in search of a woman. 13 1, 1, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4 3.14285714286
+MOP2 es of them revealed that they had been victims of rape in marriage. 12 4, 1, 1, 1, 1, 1, 1, 1, 4 1.66666666667
+MOP2 es The government has plans to reverse the process of reforestation and investment in sustainable development projects . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es He does not deign to compare British and French railways . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Place the child on his back , turn your head and eliminate waste in the mouth with your finger. 18 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.57142857143
+MOP2 es Strach may be 37 , but who cares really ? 8 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.76923076923
+MOP2 es In return , the Church a figure somewhat uncertain . 8 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 4, 1, 1, 1 1.64285714286
+MOP2 es However, it is almost certain that the offer will be rejected. 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.82352941176
+MOP2 es Mr. Stolpe said East Germans had recently discovered his power, and Mr. Krenz has not been successful in restoring the credibility of leadership. 23 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 es Smiling , Harry put the letter in the envelope. 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Leicestershire is the only county to account for their TCCB distributions in cash rather than an accruals basis . 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es They look great on the beach , like a top night under a pretty blouse or under a jacket for work . 20 4, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.64285714286
+MOP2 es He says his friends all want to know his secret. 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es If you prefer an elegant finish brass , bronze fire Dream is a good option value and costs around £ 399. 19 4, 4, 4, 1, 4, 1, 1, 4, 4, 4, 4, 4, 1, 4, 4 3.2
+MOP2 es If I did that , then it is almost the greatest miracle that a person has done since the time of Jesus. ' 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.8
+MOP2 es She kicked something in the dark , and stopped briefly to pick it up. 13 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.76923076923
+MOP2 es McLaren kept his counsel, be as secret as Ferguson is gregarious . 11 4, 4, 1, 1, 1, 4, 4, 1, 1, 4, 1, 1, 1, 1 2.07142857143
+MOP2 es She had made a final attempt at the archdeacon before leaving. 11 4, 4, 4, 4, 1, 1, 4, 4, 4, 4, 4, 1 3.25
+MOP2 es Air Show : The famous Red Arrows are providing a great end to the Southport Airshow . 15 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 1, 4, 4 3.35714285714
+MOP2 es Add the orange zest and juice , eggs, sugar , cornstarch and ginger. 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es A directed path from where they stood , their worn and broken stone flags , their progress hidden here and there by moss and weeds . 23 4, 4, 1, 1, 4, 4, 1, 4, 4, 1, 1, 4 2.75
+MOP2 es If a referee younger than me that goes to show that someone has guts . 14 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.42857142857
+MOP2 es Minimum Packages : Some packaging is designed to reduce waste during manufacture. 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es The man ran in front of Cranston , jumping up and down . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es - I have to peel potatoes for Matey , and you should get surgery the night and be ready for your guests. ' 20 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1 1.46153846154
+MOP2 es R4 DON HOWE SAYS THIS TOMORROW IS ANOTHER CANDIDATE CAN TAKE U.S. in the new year . 16 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 es It is one of the ways that evokes the spirit of prayer in the people of the Messiah . 18 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.76923076923
+MOP2 es Such basics should be the same for everyone. 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Sega owners are bigger in the trouser department . 8 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4 3.57142857143
+MOP2 es I'm sick of journalists roam in and out , wanting to know your business. 13 1, 4, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.5625
+MOP2 es Or if you went to the kitchen and interfered . 9 1, 1, 1, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.0
+MOP2 es However, for 1976 , local councils in East London were able to publicize the advantages of its industrial areas . 18 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1 3.53846153846
+MOP2 es It may be the detailed description and prices of the goods , details of a complaint , the ideas for a new product , or whatever . 23 4, 1, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.4
+MOP2 es Japanese banks operating in London accounted for 28.5 % of total loans in 1991 London , U.S. banks 15% , and 40.7 % other banks . 21 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1 3.45454545455
+MOP2 es I'm dying for a cup of tea , 'said Charlie . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Katherine 's mother had returned home the day before we had to go . 12 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1 3.5
+MOP2 es And they are waiting for a meeting of Twickenham Carolians either Kidderminster or Hitchin in the final. 17 1, 4, 1, 1, 4, 4, 4, 1, 4, 4, 4, 1, 1, 4, 4, 1 2.6875
+MOP2 es Who was Elsie and what had happened to her? 9 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 es She looked into his eyes, and saw the hunger suppressed there, and his heart seemed to shrink then swell inside her. 21 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4 3.30769230769
+MOP2 es A sense of well being , of transformation and enlightenment, penetrates to the marrow of his bones. 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.7
+MOP2 es - One respondent had control sample the three traits , and out quarter two of three. 14 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.27272727273
+MOP2 es wonder why - But I must thank mibbe ma 8 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 es A slightly thicker book , The Bernese Alps important details of the region bordered by the previous book . 17 1, 1, 1, 4, 1, 4, 1, 1, 1, 4, 1, 1 1.75
+MOP2 es Speakers boom boxes perched on the sidewalk , thundering from bars and shops , every corner has its own sound system . 19 1, 4, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.64285714286
+MOP2 es A beautiful flower early, very fragrant honey , and golden yellow inside , but purple light gray with darker stripes on the outside . 21 4, 1, 1, 1, 4, 1, 1, 4, 4, 1, 1, 1, 4, 1 2.07142857143
+MOP2 es Young people's knowledge about the harmful effects of snuff consumption is considerable, those who take up smoking are not doing it out of ignorance . 24 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.57142857143
+MOP2 es And then do not say where you have been , if they are wise . 13 4, 1, 4, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 4 2.07142857143
+MOP2 es Gwyneth Dunwoody said we were secretly dismantling the health service and Roy Hattersley muttered about hiring older people as garbage collection . 21 4, 4, 4, 4, 1, 1, 4, 4, 4, 4, 4, 4, 4 3.53846153846
+MOP2 es Could a man who abandoned his wife and son of another woman free download without scars ? 16 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.23076923077
+MOP2 es If the French should take and see them target those remarkable men who could take charge of sending them. 19 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.1875
+MOP2 es The Cats Protection League Bazaar , Parliament Room , Royal Baths Assembly Rooms , Crescent Road. 13 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1, 4, 1 1.69230769231
+MOP2 es Their findings have worrying implications for the 600,000 people believed to have been affected by the release of radiation. 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es The consequences of this factor has been at times lead to the definition of community care as "" non-hospital care "" ( Parker , 1990 ) . 21 4, 4, 1, 4, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 2.0
+MOP2 es Viol tried to make another , but the driver ignored him . 10 4, 1, 4, 1, 1, 4, 1, 4, 4, 4, 4, 1, 1 2.61538461538
+MOP2 es Graphically also be offered oriented programming tools , application programming interfaces and macro facilities between applications. 15 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 1.42857142857
+MOP2 es Was not there , as everyone knew , single-handedly raised and led an Arab army against the Turks ? 16 4, 4, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.85714285714
+MOP2 es The close cooperation between agents and each allocation unit manager is essential both plan development and programming of the holidays. 20 4, 1, 1, 4, 1, 1, 4, 1, 4, 1, 1, 1, 4 2.15384615385
+MOP2 es There is no criticism robust no convincing body of evidence , no sign of learning from a decade of failures. 19 4, 4, 4, 4, 4, 1, 1, 1, 1, 4, 1, 1, 1, 4, 4, 1, 4 2.58823529412
+MOP2 es The survival time was defined as the period between surgery and death. 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Mr. Tadgell , 32, rented an apartment in Australia with Joanna as she progressed from a cleaner to a waitress at the casino. 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es The Daurog moved to their business , looking Tallis trembling with the same caution as the night before. 17 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.54545454545
+MOP2 es Mr. Jenks walked down the aisle , glaring at him, and the children fell back on both sides without a murmur . 20 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1 3.5
+MOP2 es The detective thriller , of course , went about seeking information. 9 4, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 1, 4, 1 2.28571428571
+MOP2 es In the seventeenth century the new Dutch Republic was the only major power to make extensive use of this method of representation. 22 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 es So you are working on a political model of peer Photo and meaning ? 13 1, 4, 4, 4, 4, 4, 4, 4, 1, 1, 1, 4, 1, 1, 1 2.6
+MOP2 es Not like in the old days , when people lived in villages and knew great-great - grandfather was a horse thief or whatever . 21 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.625
+MOP2 es The guidelines did not apply to parliamentary proceedings or choices and allowed speech. 13 4, 4, 4, 1, 1, 4, 4, 4, 4, 1, 1, 4, 1, 4, 1 2.8
+MOP2 es Crystal thought Berg was a newspaper reporter and she Rain said : "" I will not spoil the story by saying something dead MacQuillan MI . ' 23 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1 1.16666666667
+MOP2 es Another road also runs approximately from north to south , stretched between him and Ryknild street, the northern branch of the road Tiddington 22 4, 1, 1, 4, 1, 1, 4, 4, 4, 4, 4, 1 2.75
+MOP2 es I congratulate you on the ambiguity of their situation. 9 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 1, 1 3.07692307692
+MOP2 es ' If you want to use the bathroom facilities , please . 9 1, 1, 1, 1, 1, 1, 4, 1, 4, 4, 4, 1, 1, 4, 1 2.0
+MOP2 es The idea is to increase people's knowledge about the strength of the drinks and weekly limits , and the link between consumption and health and fitness. 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es When the Indians went hunting for both the animals and rival Indians , their firepower was mortal . 16 1, 4, 4, 4, 1, 4, 4, 4, 1, 1, 4, 1, 4, 4, 4 3.0
+MOP2 es The facts speak for themselves , but only if executives are willing to listen , willing to be convinced. 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es In the past decade , London and other major metropolitan cities population recorded massive losses , the medium-sized cities either people lost or suffered only slow growth . 25 1, 4, 1, 4, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1 1.9375
+MOP2 es And one in three women said they do not get enough respect from their male superiors . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es After the death of our great team of '86 we were building sand castles for a while - they were collapsing all the time. 22 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.57142857143
+MOP2 es One in six trees in Switzerland is showing signs of ill health - double the level recorded eight years ago. 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es LEFT : Kevin Painter and decorator Barton hooked on this early 2 lbs 14 oz plaice during a session at Lepestone Point in Hampshire. 23 4, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 4, 4, 4 2.5
+MOP2 es It has been estimated that 65 percent of the deals are in cash and the rest are forward deals . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.78571428571
+MOP2 es As the crowds gathered , a military assistant Andrew asked about the episode roles in Reykjavik tube . 16 4, 4, 1, 1, 4, 1, 1, 1, 1, 4, 4, 4, 4, 1, 1, 1, 1 2.23529411765
+MOP2 es This was a necessity to qualify for a call to the bar later . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.78571428571
+MOP2 es Here he comes, look out for this guy . ' 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es I hope it is not gon na an attack. 9 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.1875
+MOP2 es I could not go through it all again . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es give children the skills necessary to perform simple math functions ( related to the four rules) without difficulty 17 1, 1, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 4, 4, 4 3.2
+MOP2 es The distinction between equity and equality in the distribution and use of social services is crucial to the debate on health inequalities . 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Then I had my tea I go to bed . 9 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 es The wide range of barley included the purchase , consumption , laboratory, steeping, germination , malt ovens and office . 16 4, 4, 1, 4, 1, 4, 4, 4, 1, 1, 4, 1, 4 2.84615384615
+MOP2 es After all , had managed to beat the system and was the sole command of a small military unit. 18 1, 4, 4, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4, 4 2.125
+MOP2 es Then he jumped up and ran along the road. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.8
+MOP2 es I think G. P. holding me and stroking me . 9 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.2
+MOP2 es I do not want to be a superstar , I just wanted to be able to play well . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es This is not to deny , of course , that crime and violence in contemporary society is an important social reality. 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Network is strung between two palm trees and floated around in a spirited game of volleyball four -by-side . 17 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 4, 1, 1, 1, 1 1.8
+MOP2 es The administrative structure of associations, with its strong emphasis on coordination of different agencies , would in any case tend to inhibit unorthodox . 22 4, 4, 1, 1, 1, 4, 1, 4, 4, 1, 4, 4, 1, 4, 1 2.6
+MOP2 es Gloucester solemnly walked around inside and outside the precincts of the Cathedral while he told me about his childhood. 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es In comparison, employment companies suffering oblivion 20-50 bracket , they say. 10 1, 4, 4, 1, 4, 1, 4, 4, 1, 1, 1, 1, 4 2.38461538462
+MOP2 es A few days after writing my notes one day planning priced (by UK standards ) dawned . 14 1, 4, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.64285714286
+MOP2 es If this has a direct pathogenic autoantibodies , such as Wegener 's granulomatosis , remains to be determined . 15 4, 4, 1, 1, 1, 1, 4, 4, 4, 1, 1, 4, 4, 1 2.5
+MOP2 es The incident received widespread television and press advertising , and sparked a civil rights march on 24 August Coalisland to Dungannon . 20 4, 4, 1, 4, 4, 1, 1, 1, 1, 4, 4, 4, 4, 4, 4, 1 2.875
+MOP2 es The seeds , of course, are much richer in nutrition than any fleshy . 12 1, 4, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.5625
+MOP2 es The fishermen are blaming the contamination by a drop in the number of fish in some sections of the rivers Severn and Avon. 23 4, 1, 1, 4, 1, 1, 4, 4, 1, 4, 1, 1, 1, 1 2.07142857143
+MOP2 es Robin child refuses to grade and, where meetings gave way to GCSE level with all internal courses and marking, the rejected . 21 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.1875
+MOP2 es Are you aware of the rates of obstetric interventions change practice? 11 4, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1 1.64285714286
+MOP2 es Eyes Synergie Ultra - soft makeup remover with rose extract , is a light oil -free lotion with soothing , £ 2.99 / 200ml. 18 4, 1, 4, 4, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1 2.07142857143
+MOP2 es Stewart and Tait were more aware of the degradation of energy , both moral and physical , and therefore of the impermanence of the world . 23 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 es This rule is subject to a number of exceptions ( see Chapter 5 ) . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es We thank Ken Byron for creating much needed magazine in Drama and Dance . 13 4, 4, 1, 1, 1, 1, 4, 4, 4, 1 2.5
+MOP2 es Cycling was also definitely related to gastro -oesophageal reflux . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es True to this tone , the tape is Tom scientific analysis bogeyman instead of bedtime stories . 15 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1 1.375
+MOP2 es As suggested in the argument , that indeed would have to swallow the elephant and the tension in the mosquito. 19 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.23076923077
+MOP2 es In desperation , I took a typing course and moved fifty miles the road from here, for the first job that I have . 22 4, 1, 4, 1, 1, 4, 4, 1, 1, 4, 1, 1, 1, 1 2.07142857143
+MOP2 es At times Dr Banda waving his fly whisk . 8 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 es Both were former members of the Red Army Faction leftist extremists ( RAF ) . 12 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.72727272727
+MOP2 es But anyway "" - his tone changed again - "" I am grateful for your help. ' 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.78571428571
+MOP2 es Stokesley , in effect, that have neither trade nor the manufacturers, no aspect of bustle and business , and is a well-suited place retirement. ' 22 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 es Although it is less harmful than removing bulbs and plants , seeds consistently can still effectively clean snatch a kind of a locality. 22 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.1875
+MOP2 es Tickets from Sergeant Gordon Parkin ( phone 091567-6155 , . Ext 6331 . 9 4, 4, 4, 4, 4, 1, 4, 1, 1, 4, 1, 1, 4 2.84615384615
+MOP2 es They expressed their anger with the godly in lewd ballads that echo through the story of Nelly . 17 4, 4, 4, 4, 4, 1, 4, 4, 1, 1, 4, 1, 4, 1 2.92857142857
+MOP2 es ' There is no Black Dog here ,' said the doctor. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Our telephone number is communal hallway wall by the front door. 11 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1 1.42857142857
+MOP2 es Mr Carpenter said : ' All the victims were elderly and infirm. 10 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.75
+MOP2 es - They say you're a homosexual known , we believe , ' said a third . 11 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1 1.42857142857
+MOP2 es When the bishops moved into the house 10 years ago, he had been on the market for 18 months and had become very run down. 25 4, 1, 4, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 4, 1 2.0
+MOP2 es I thought I could go to the U.S. and help the anti - student projects around Army camps ,"" he said . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Other people besides yourself and the candidate may need to take into account when setting a schedule are: 18 1, 4, 1, 4, 4, 1, 4, 1, 1, 1, 1 2.09090909091
+MOP2 es His mouth had formed of words before realizing . 8 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.5
+MOP2 es The first is a surface pain begins as a red mark. 11 4, 1, 1, 1, 1, 4, 4, 1, 4, 4, 1, 1, 1, 1, 1 2.0
+MOP2 es We're really struggling at this point in time, thinking, ' What are we doing , what we're about ? ' 16 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 1, 4 3.2
+MOP2 es I do not think Chris and the band are known well enough at the time . 15 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 1, 4, 1, 1, 4 3.0
+MOP2 es His description of his meeting follows the usual descriptions with immense sense of the general presence of concomitant dramatic side effects. 21 1, 4, 4, 1, 4, 4, 1, 4, 4, 4, 1, 4, 1, 1 2.71428571429
+MOP2 es He likes , airless places wet and moist with a slightly alkaline pH normally found in the vagina ( usually slightly acidic) . 20 4, 1, 4, 4, 4, 1, 4, 1, 4, 1, 1 2.63636363636
+MOP2 es But did you know that the program had a section absurd "" Did you know "" in the currency of football trivia was far less fraudulent . 24 4, 1, 1, 1, 1, 1, 1, 1, 1 1.33333333333
+MOP2 es Now she was looking closely, he realized that most of the rooms of the house had two doors . 18 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 1, 1, 4, 4, 4 3.0625
+MOP2 es If the sources of income are taxed at equal rates , it is clear that there is an incentive to convert income into tax- free form . 25 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 es Both drank , aware that he had been a long afternoon , and Shelley , at least , was thirsty. 16 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1 1.42857142857
+MOP2 es He's had to go through Mordecai precisely because it is a Copt . 12 4, 1, 1, 1, 1, 4, 4, 1, 4, 1, 4, 1, 4 2.38461538462
+MOP2 es But now say the cost of free accounts is too high. 11 4, 1, 4, 1, 1, 4, 1, 4, 1, 1, 4, 1, 1, 1, 4 2.2
+MOP2 es What if Bruce Pallistar or injured , you must either cover ( decent ) . 11 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 es But with her mother stopped it was now up to him to take charge of the rebellion in Poitou . 19 4, 4, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.92307692308
+MOP2 es But who knows , the illustrious Mr. drilling still can ride again sometime in the future. 15 4, 4, 4, 1, 4, 1, 1, 1, 4, 1, 4, 4, 4, 1, 4, 1 2.6875
+MOP2 es Take it like a duck takes to water. 8 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Average household size has decreased from 3.09 in 1961 to 2.55 in 1987 and continue to decline (Table 2.6). 18 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 1, 1, 4, 1 3.0
+MOP2 es The way the dialog is rendered is the one that best fits the mood and the theme of dialogue . 19 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 1, 4, 4, 1, 1 2.94117647059
+MOP2 es She had come to England from Berlin in 1930 and began his studies at the Central School of Arts and Crafts. 21 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1 1.75
+MOP2 es I'm tired of hearing the complaints of the cook. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Being one of the women elected prince has its drawbacks. 10 4, 4, 4, 1, 4, 1, 4, 1, 4, 4, 1, 1, 4, 1 2.71428571429
+MOP2 es British Intelligence in the Second World War , vol . 4: Security and Counter- Intelligence . 13 4, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 1 3.30769230769
+MOP2 es ' Second Act - Beginners please trembling voice said from outside the door . 11 1, 4, 1, 4, 1, 1, 1, 4, 1, 1, 1 1.81818181818
+MOP2 es Coming and going - there was not much of that. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 es Sow seeds in spring, or divide plants in spring, and allow 60 cm (2 feet) between plants. 16 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1 3.47058823529
+MOP2 es This has now been reduced from 6.7 % to 3% , but according to President Mike Tilbrook , the remaining ' continues to show useful benefit document. 23 4, 4, 1, 4, 1, 4, 1, 1, 1, 4, 1, 4, 4, 1, 1, 1 2.3125
+MOP2 es Dexter assumed he was beginning to share the same persistent feeling of depression that plagued him since the end of the interview with Parkin . 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.78571428571
+MOP2 no We still belonged House and Lincolnshire are lovely in May. ' 10 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 no She was wearing denim overalls and carrying a bucket and brush. 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Ministers have not detailed responsibility for the decisions made . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.78571428571
+MOP2 no In the next year he had custody of Rochester Castle . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.8125
+MOP2 no Booking is essential for a bike ride around the Wirral Country Park on Sunday when the manager will be Cheshire ranger Barry Jackson. 23 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4 3.25
+MOP2 no But it tends to gloss over them when it draws on mainstream psychology. 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.8125
+MOP2 no On appointment to office a new minister takes over responsibility for many departments policy. 14 1, 4, 1, 4, 1, 4, 1, 1, 1, 4, 1, 4, 1, 4, 1, 1, 4, 4 2.33333333333
+MOP2 no When Rhun in his goodness lent an arm to raise him from his knees , he still hung heavy , clinging to his desperate humility. 23 4, 1, 4, 4, 4, 1, 1, 4, 4, 4, 1, 4, 1, 4, 4, 4 3.0625
+MOP2 no The figure shows how the A -measure per unit area varies with the radiometer reading. 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.7
+MOP2 no In some pubs fake hand pumps serve gassy beer. 9 4, 4, 4, 4, 4, 1, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.4375
+MOP2 no In fact, the complaints often made too many monitoring requirements are made of TECS . 14 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1 1.64285714286
+MOP2 no Of course this is only a tendency , and move away from the local police to larger , centralized police can reduce this effect . 22 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 4, 4, 1, 1, 1 2.0
+MOP2 no Tod has a different kind of dream in which he is a woman . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Valuable coaching can often come from drama school teachers who can give a fair assessment of the options you may have before auditioning . 23 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.72727272727
+MOP2 no Because simulated annealing is a stochastic algorithm , different runs of probeorder not necessarily produce the same effect probe sequence. 19 1, 4, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1 1.75
+MOP2 no Although the music was animated , moving only his arms . 9 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.5
+MOP2 no But the report also blasts authority bosses for failing to control the activities of 58 -year-old Mr Watney , who took early retirement last year . 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Some will of course respond personally ( he had included postage ) . 10 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 no Four of those areas large as , or larger than our moon . 11 4, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.64285714286
+MOP2 no Police are appealing for witnesses to the incident, which occurred at 11 on Monday in Windsor Street, Toxteth . 18 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.75
+MOP2 no See how the word wrap back to the previous line . 10 1, 4, 1, 1, 1, 4, 1, 4, 1, 4, 1, 1, 1, 4 2.07142857143
+MOP2 no The cafe itself is so filled with smoke that I'm sitting outside on a bench . 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.76923076923
+MOP2 no The surface need not be perfectly flat or smooth. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Given that this work is done, the draft plan then be examined in the next detail - and probably torn to shreds . 21 4, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.6
+MOP2 no There are 5733 empty municipal house , nearly 2,000 of which have been empty for more than a year . 18 4, 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1 1.92307692308
+MOP2 no Heath ( 3.3) summarizes an influential and well-established tradition in the study of class differences in education. 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no This phase is believed to have been controlled by reactions between salt solutions associated with Permian sediments and volcanics and the underlying Devonian rocks. 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no And his price - its price can be of immense use. 10 1, 1, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1 1.6
+MOP2 no There was a significant improvement in the presence of miners in Mansfield clinic , but since this was much closer to their homes . 22 4, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1 1.64285714286
+MOP2 no ' So maybe most of the errors were on my side . 10 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 no Gere and Basinger star in the erotic thriller final analysis that Warner Home Video will release the video libraries for 18 October. 22 4, 4, 4, 4, 1, 1, 4, 4, 1, 4, 1, 4, 1 2.84615384615
+MOP2 no Recently, concern has grown that Michelangelo's ceiling in the Sistine Chapel in Rome has been irreparably changed by the Vatican conservation team. 22 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.6
+MOP2 no Disillusion me and get my sympathy at the same time . 10 4, 1, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4 3.30769230769
+MOP2 no The horse shot out like an arrow from a bow . ' 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.75
+MOP2 no The British Horse Society is anxious to find out why a third of them should have happened in this year alone . 21 1, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 1, 1 2.92857142857
+MOP2 no Made with Pertex fabrics and Quallofil 7 filling, Compact Lite weighs just 1.2 kg , and in its stuff sack , reduces to 7l . 22 4, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 4, 4 2.0
+MOP2 no In exceptional cases , the Department does not apply withdrawal clause if there is a reasonable explanation for failure to notify. 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.72727272727
+MOP2 no The strategy that had proved so successful in the sphere of science and technology encountered serious problems when applied to complex social systems. 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.83333333333
+MOP2 no ' Goodness me , who on earth could it be? ' 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.78571428571
+MOP2 no Small samples are sometimes confused with Synodontis petri color . 9 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4 3.53846153846
+MOP2 no They called us out to the stadium early, and it was hot , very hot . 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.8125
+MOP2 no Often, I pick up an artist from their home and take them to Middlesbrough where they are interviewed by Radio Cleveland. 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.82352941176
+MOP2 no Its muscles, but not so tight as those of a young man, bulged with the effort. 16 4, 1, 4, 4, 1, 1, 4, 4, 4, 4, 1, 1, 1, 1, 1 2.4
+MOP2 no The review copy is solid black, but the basic model is oil finished. 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no In their bedroom which crashed to the floor, which instantly awakened one of the twins began to howl . 18 4, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.81818181818
+MOP2 no Want a man who was such a louse . 8 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1 1.75
+MOP2 no This required movement can not take place except in a liquid medium. 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Upper Stowe was once called Butter Stowe because London carrier together butter here . 13 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.375
+MOP2 no Induction of adhesion of specific T- cell subsets of specific cytokines would make the process of lymphocyte recruitment more flexible and selective. 22 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.75
+MOP2 no If I had been in your shoes , I would have gone right out of him. ' 15 4, 4, 4, 1, 4, 4, 1, 1, 1, 4, 1, 1, 1, 4 2.5
+MOP2 no A friend to everyone she met ... much loved and much missed. 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no ' But it was lost - the walls were built over it, the paper had dissolved. ' 14 1, 4, 4, 4, 4, 4, 1, 4, 4, 1, 1, 4, 1 2.84615384615
+MOP2 no He 's going to buy her a new typewriter , that old thing she practices in making sound like a trumpet Candyman . 20 1, 4, 1, 1, 4, 1, 1, 1, 1, 4, 4, 1, 1, 1, 4, 1 1.9375
+MOP2 no The previous maximum flue length for the 10.5kW and 18kW output boiler was three feet . 15 4, 4, 1, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4 3.4
+MOP2 no Rising slowly like a machine , she made her way over to the counter and picked up the receiver . 18 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.8
+MOP2 no Does he really offered you your job back? 8 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 no They were gears that work together , fits into place when and where they were required. 15 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 4, 4, 1 1.85714285714
+MOP2 no Shall we call it the Lowfield that sooner or continue to use ' The New East Stand ' ? 16 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.1875
+MOP2 no Agnes , now fully dressed , walked into the hall . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no You should get a certificate of posting, which is available free on the counter. 14 4, 1, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4 3.30769230769
+MOP2 no Secondly , they retained 25 percent of the capitation money outside the formula system for discretionary allocations . 16 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 1, 4 3.4375
+MOP2 no Modernization and industrialization of the nineteenth century Britain changed population map. 11 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1 1.8
+MOP2 no Pallister 's rivals are: Steve Bruce (Manchester United) , Stuart Pearce (Nottingham Forest, Paul McGrath (Aston Villa) , Gary Lineker ( Spurs ) , Ray Houghton ( Liverpool) . 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no ' This shows that the company does not learn from this lesson. 11 4, 4, 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 1, 4 3.29411764706
+MOP2 no Here we have an uninterrupted view of the prospect , and what a glorious prospect there is , stretching far away for many miles on either hand . 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1 3.6
+MOP2 no Left Debenhams lambswool jumper, £ 24.99 , cotton chambray shirt, £ 15.99 , tie , £ 7.99; Mill washed cords, £ 29.99 , casual Gibson shoes, £ 34.99 . 19 4, 1, 1, 4, 4, 4, 1, 1, 1, 1, 4, 1, 1, 4, 1, 4 2.3125
+MOP2 no Two years before , met two TA soldiers at an Army open day . 12 1, 1, 1, 1, 1, 1, 1, 4, 4, 4, 1, 1, 1, 1 1.64285714286
+MOP2 no Orthodox Judaism continues to teach an elaborate separation of menstruating women from contact with the men in her family . 19 4, 1, 4, 4, 4, 4, 4, 1, 1, 4 3.1
+MOP2 no A recent architectural survey revealed problems in the 60 -year-old church in greeting Salutation Road. 14 1, 4, 1, 4, 4, 1, 1, 4, 1, 4, 1, 4, 4, 1 2.5
+MOP2 no The fireplace in question was put into a big thick wall that partially divided main compartment. 16 4, 4, 4, 1, 1, 4, 4, 4, 1, 1, 1, 4, 1 2.61538461538
+MOP2 no Ella Burrows was another example of dedicated service. 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4 3.5
+MOP2 no It's a brave move to start over in a garden , and a sure test of one's design talents. 18 4, 4, 4, 4, 1, 4, 4, 1, 1, 4 3.1
+MOP2 no Liverpool won early popularity as a result of Britain's military victories in the Peninsula , just as Mr Major 's reputation was enhanced by the Gulf War . 25 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 no EEC has banned BST until further research is conducted . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no This deliberate emphasis on young people's unreliable and hurtful past relationship poses a dilemma for housing workers. 17 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 4, 4, 4, 4 3.57142857143
+MOP2 no Act of July 29, 1881 stated : ' publishing and the press is free. 12 4, 4, 1, 1, 4, 4, 4, 4, 1, 4, 1, 4 3.0
+MOP2 no As far as I can see we can either go for Dersingham or the man himself . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no The distinction between the existence of the license and its ceasing to have effect . 14 4, 1, 4, 4, 1, 4, 1, 1, 4, 4, 4, 1, 1 2.61538461538
+MOP2 no Turn them into public gardens and creating a type rather than an eyesore. 13 1, 4, 1, 1, 1, 1, 4, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1 1.70588235294
+MOP2 no Mr Hawke last week reiterated his support for airlines to recruit new pilots abroad and re - hire their former pilots on individual contracts. 23 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.6
+MOP2 no In February refused counselors to allow a variation of the hour . 11 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 no Latin America has the lowest female participation of a region of the world , including the Middle East, despite its severe restrictions on women's activities. 24 4, 4, 4, 1, 4, 4, 4, 1, 4, 1, 4, 4, 4 3.30769230769
+MOP2 no She smiled and shrugged , staring off into the distance . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Nine schools in three LEAs Midlands , will be identified for specialization , for a survey. 14 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 1, 1 3.0
+MOP2 no It is when the requirement for neutrality is seen, as it must be, as a sham that the damage is done to the judicial system . 25 4, 4, 1, 4, 4, 4, 4, 1, 1, 4, 4 3.18181818182
+MOP2 no Some of the trees , the vegetation and the animals mechanical creations of Mirage Enterprises. 14 4, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.69230769231
+MOP2 no I tell him because that's what I think , although it may be they or even she . 16 1, 1, 1, 4, 1, 1, 4, 1, 4, 1, 1, 4, 1, 1, 1 1.8
+MOP2 no Julie 's husband Tim stood weeping beside the grave of St Botolph 's Church in Brampton, Northants . 15 4, 1, 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.35714285714
+MOP2 no Sequel arising from Hook Barrie - esque willingness to rob another man's family , and from modern man fears for the child itself . 21 4, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.69230769231
+MOP2 no Invite the person closest to you to give you some honest feedback on the degree of diplomacy viewing . 18 4, 4, 4, 1, 1, 1, 1, 4, 4, 1, 1, 1, 4 2.38461538462
+MOP2 no We have seen her golden smile on the face of Tatler and her figure in dozens of fashion glossies . 19 4, 1, 4, 4, 1, 4, 4, 4, 1, 4, 4, 4 3.25
+MOP2 no There is little room and apparently no regard to a contract by the appraiser as principal . 16 4, 4, 1, 4, 1, 4, 1, 1, 1, 4, 4, 1, 4, 4, 1 2.6
+MOP2 no The program indexes specified files on your PC hard disk so that almost instantaneous keyword search . 16 1, 4, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.5625
+MOP2 no And the program ended as it dropped onto the fire to a chorus from the rest of Alf -family 'unclean , unclean' . 19 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1 1.6
+MOP2 no John Taylor was an itinerant craftsman who came from Oxford in 1839 to redefine the church bells at Loughborough . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Be flexible , if necessary suggest that more time should be devoted to an item in a meeting . 17 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 no It was originally published by the American company Houghton Mifflin ) . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.75
+MOP2 no For the truth is that no single agent affects our planet as much as we do. 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Those days are gone , thanks to our efforts. 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Lay participation in the operation of the service was reduced , appropriate community health advice was created to represent the public. 20 1, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 1, 1, 4, 1 2.8
+MOP2 no The result - The Romance of British Wool - will be performed in one of the world 's largest and most prestigious stores in October ( 8-18 ) . 23 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 1, 4, 4, 4 3.4375
+MOP2 no Why not give in to the folly of it, instead of feeling distress? 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no TV presenter Keith Chegwin opened his heart in front of the cameras yesterday and admitted ""I'm an alcoholic . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.8125
+MOP2 no They established themselves in the south -west , and their king, Athaulf , held in Narbonne . 13 1, 4, 4, 4, 4, 4, 4, 1, 4, 1, 1, 4, 1, 4, 1 2.8
+MOP2 no Borrowers , Mr and Mrs Clothier , had a £ 225,000 advance at their home in Silverdale Avenue, Walton -on - Thames . 17 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 1, 4, 4, 4, 4 3.25
+MOP2 no Rachel sat in tense silence by despicable Damian Flint . 9 1, 4, 4, 4, 1, 4, 1, 4, 4, 1, 4, 1, 4 2.84615384615
+MOP2 no Fat couple in holiday plaid , bouncing around like toddlers in low- g and cooing over the moon dirt souvenir jewelry. 20 4, 4, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 4 2.07142857143
+MOP2 no The Presidential Council initially seemed designed to replace the CPSU Central Committee Politburo as the main center of political decision making in the Soviet Union. 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no The hon . Gentleman said that the proposal was half-baked . 9 4, 1, 1, 4, 4, 1, 1, 1, 4, 4, 4, 4, 4, 4, 1, 4 2.875
+MOP2 no The addition of an associative procedure for this model was thus seen to provide the opportunity for a truly automated kinematic assembly process . 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.76923076923
+MOP2 no At the end of January the known death toll from the revolution had again reduced drastically to stand at 689 . 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.78571428571
+MOP2 no OLD sailor Harry Ward is not looking forward to bonfire night ... because his last drinking companion , Johnny papier mache Guy, will be burned alive . 24 4, 4, 4, 1, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4 3.35714285714
+MOP2 no The conveyors are designed to withstand accidents and until recently Govenrment precluded any possibility of a radioactive leak . 18 4, 4, 1, 1, 4, 1, 4, 4, 4, 4, 1, 1 2.75
+MOP2 no I knew there had to be a wound she had been drowned or suffocated or poisoned. 16 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1 1.6
+MOP2 no Now, only half of its revenue from mainframe computers : the new strategy means selling less machines, based on industry standard 'open ' operating software. 22 1, 4, 1, 4, 1, 1, 4, 4, 4, 4, 1, 1, 4, 1 2.5
+MOP2 no We are firmly committed to equal treatment of men and women in pensions. 13 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 no The venom is rarely dangerous, but anyone who has accidentally stepped on a sea - urchin while swimming knows how painful swelling can be. 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Luckily for us simple folk game plot is very straight forward . 11 4, 4, 1, 1, 1, 4, 1, 4, 1, 1, 4, 4, 4, 4 2.71428571429
+MOP2 no They will report to a board of directors chaired by Sir Robert Telford , director of Marconi, a subsidiary of the ubiquitous GEC group. 23 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 no Let us take the motion of the A and B to be non- relativistic so . 15 4, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1 1.69230769231
+MOP2 no A training allowance and travel expenses for the 16 weeks of the program . 13 4, 4, 4, 1, 4, 4, 1, 1, 4, 1, 4, 4, 1, 4, 4, 1 2.875
+MOP2 no Evaluating the different cell types, such as muscle, skin , gut , and nerve . 12 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1 3.30769230769
+MOP2 no Bridget reported that the figures for Easter Course was much lower than in the previous courses held at Avery Hill . 20 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4, 1, 1, 4 3.14285714286
+MOP2 no Single £ 4.00 per night , extra night £ 16.00 per night 9 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 1, 1 3.0
+MOP2 no ( 13) , which likewise was unable to discover a P3A + α subunit transcripts in muscle of chicken , veal or mouse , mouse thymus or torpedo electric organ. 24 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.42857142857
+MOP2 no ' Because around Cullbridge is horrible rich in rare species. 9 1, 4, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.5
+MOP2 no In a cold , late spring it can prove difficult to pasture of rye in time to work up a good tilth for mangolds . 23 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.42857142857
+MOP2 no We like dogs today and try to pass on all the right things to do to our current Scallywag , Monty , but he is not impressed. 25 4, 1, 1, 4, 4, 4, 1, 1, 4, 1, 1, 1, 1 2.15384615385
+MOP2 no In the 1880s several Neanderthal -like remains were found, and many paleoanthropologists began to claim that they made a separate species intermediate between apes and humans. 25 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 1 3.35714285714
+MOP2 no The idea is to make it easier and try to get a good picture of how they feel about their own health . 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no In almost all studies of all sizes , one investigator be occupied full time questioning during the first days after the accident. 21 1, 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.42857142857
+MOP2 no But I think she had a good time. 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Thinking now Mike was wrong , it was disgusting, but she could not help herself . 14 4, 4, 4, 4, 4, 4, 1, 1, 4, 1, 1, 1 2.75
+MOP2 no Right now, Kendall did not return the aristocratic Everton he did seven years ago. 14 1, 4, 4, 1, 4, 1, 1, 1, 4, 4, 4, 1, 1, 1, 1, 1 2.125
+MOP2 no Australia would be happy if the accord led to the reopening of the Panguna copper mine , one of the world's largest. 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no It is expected to fall to 15 % in April. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Despite net assets up 35 % to £ 458 million in Stanhope, the city is impressed with the sector . 17 1, 4, 4, 1, 4, 4, 4, 4, 1, 4 3.1
+MOP2 no Because a source less abundant and less generous than this river had dried up ? 14 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1 3.30769230769
+MOP2 no C - and Ku -band , 4GHz to 6GHz and 11GHz to 14GHz , respectively , are now widely used . 15 4, 4, 4, 1, 4, 1, 1, 4, 1, 4, 4, 4, 4 3.07692307692
+MOP2 no I will come back again next weekend and we can schedule it . ' 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.76923076923
+MOP2 no These aspects of political elections is still important, but less than before. 12 4, 1, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 1 3.14285714286
+MOP2 no She did look a bit of a fool in front of anyone else who was watching . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.8
+MOP2 no A group of North - Eastern businessmen and women last night showed that a Tory vote operations were secured yesterday. 19 4, 4, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1 2.2
+MOP2 no In that case , they had not spent much on a decent script. 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.8
+MOP2 no Carlsbro Sherwood 90 , acoustic combo , £ 150, Marshall practice amp, £ 45 . 10 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1 1.54545454545
+MOP2 no Pam and Errol has two children , ages 13 and 16. 10 1, 4, 1, 4, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1 1.85714285714
+MOP2 no How to learn to change things for the better rather than just learning to adapt to the way things are now? 21 4, 1, 4, 1, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 1 2.94117647059
+MOP2 no ' It was thought - everyone thought - she would marry in her turn , and it would be the end of it . 19 4, 1, 4, 4, 4, 4, 1, 4, 1, 1, 4, 4, 1 2.84615384615
+MOP2 no We offer services that are global , integrated and fully comprehensive. 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no The Human Resource studied in college and joined the company as a line manager . 14 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1 1.6
+MOP2 no The remedy for the static quality of the regime of primary rules consists in the introduction of what we shall call ""rules of change"" . 23 4, 4, 4, 4, 4, 1, 4, 1, 1, 4, 1, 1, 4, 1, 1 2.6
+MOP2 no Sometimes I wonder how he passed his 0 - levels , "" said Dad when we crawled over cobbles and out of the village. 21 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.625
+MOP2 no The Houses of Parliament , the cry goes up : "" Burn it down. ' 11 1, 4, 4, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1 1.85714285714
+MOP2 no This is more representative of the nature of R & D projects than are single date often given as a result of a PERT plan. 24 1, 4, 1, 4, 1, 1, 4, 1, 4, 1, 1, 1 2.0
+MOP2 no ' This session , "" commented one of the community cards participants ' indicates that a dialogue is the best way to overcome differences. 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1 3.57142857143
+MOP2 no When women were given artificial moonlight for three consecutive nights once a month , their cycles synchronized to the lunar rhythm. 20 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4 3.6
+MOP2 no Certainly he was not driven by the same reverent mercenary ambitions of some of his colleagues and sought artistic satisfaction wherever possible . 22 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.8
+MOP2 no With snow in plentiful supply , we have a special section in this issue for those of you who want to get off piste . 23 1, 4, 1, 4, 4, 1, 4, 1, 1, 4, 1, 1, 4, 1, 4, 4 2.5
+MOP2 no In other words generalist administrator urge the economists, statisticians , etc. for information, but it is the generalist who is ""on top"". 20 4, 1, 4, 1, 4, 1, 4, 4, 1, 4, 1, 1, 1, 4, 1 2.4
+MOP2 no Long enough to know my own worth , ' Gina said , annoyed by sardonic glint in his eyes. 16 1, 4, 1, 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 1 3.0
+MOP2 no You are afraid , both of them, that I can detect my mom is not dead at all , are not you? ' 20 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 no The slush recommend the same to local governments and gives examples of accounting policies that will be commented . 18 4, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.8
+MOP2 no Having decided he must again race the tide , he began a desperate cumbersome ran along the bottom edge of the pier . 21 1, 4, 1, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1 1.85714285714
+MOP2 no The birds can pose a serious health risk to humans who eat them in North Africa and Southern Europe . 19 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 no After a month, the pain began to ease somewhat and Lisa was able to get up to his own room with Janet help. 23 4, 4, 4, 1, 4, 1, 4, 1, 1, 1, 1, 1 2.25
+MOP2 no These problems , combined with the conservative government's free market philosophy, led to a movement back towards more market -related official rates in 1980. 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no He also claims to be considered a true all - rounder , having played many attacking innings in the lower middle order. 20 4, 1, 4, 4, 1, 4, 1, 4, 4, 4, 4, 1, 1 2.84615384615
+MOP2 no It was a natural sheltered pool , a trick of the rolling meadows along Comer . 14 1, 4, 1, 1, 4, 1, 4, 1, 4, 4, 4, 4, 4, 4, 1, 1, 4 2.76470588235
+MOP2 no Then , slowly at first , he began to prepare the boy for this possible fate. 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4 3.64705882353
+MOP2 no My German worked like a dream , like a brilliant robot turning on and stand back and admire as it does all the hard work . 24 4, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.75
+MOP2 no Jess - her blunt nose comes in contact with Samson hand as she coiled around - bit him . 16 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.25
+MOP2 no A good deal gives me the feeling that I have been for a nice seven-day trip to the Bahamas. ' 19 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 1, 4 3.35714285714
+MOP2 no It is excellent for skiing since lateral hopping motion can be used , the calves are well stretched and can also develop posture , balance and coordination. 25 4, 1, 4, 4, 1, 1, 1, 1, 4, 4, 1, 1, 4, 1 2.28571428571
+MOP2 no The biggest area where Renault score is comfort and equipment. 10 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1 1.4
+MOP2 no Any previous wheel- pit at this site , however, could have been either demolished and rebuilt or enlarged to take the new wheel. 22 4, 4, 4, 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 1 3.4
+MOP2 no Along the flanks are arrays of proprioceptors which partially acts as external arteries. 13 4, 4, 1, 4, 1, 4, 4, 4, 4, 1, 4, 1, 4, 1 2.92857142857
+MOP2 no North Harbour coach Brad Meurant said : ' Everybody helped his comrades . 10 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 no Powerful explosive eruption of gas -charged magma originating in the upper mantle produce small , shallow craters called maars . 17 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 1, 1, 4 3.0625
+MOP2 no Risk of change in the expected long-term rate of economic growth. 11 1, 4, 4, 1, 4, 1, 1, 4, 4, 4, 4, 1, 4, 1, 4 2.8
+MOP2 no She stood outside the elevators in the hospital's main entrance with other visitors. 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no A similar picture emerges in relation to the distribution of gross earnings among female manual workers . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Solicitors and qualified members of the Institute of Legal Executives . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4, 1 3.4
+MOP2 no They are also fundamental to improve the quality and quantity of provision of health and social services , and to combat poverty. 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.78571428571
+MOP2 no Such orders may be added before Parliament and it was discussed on December 6, 1977 . 15 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.82352941176
+MOP2 no ' Yes , well, I always thought Augustine was a bit simple in its ideas , William , waspishly , as if he were talking about a rival academic. 24 4, 1, 1, 1, 1, 1, 4, 4, 4, 4, 4, 1, 4, 1, 1 2.4
+MOP2 no The origins of Brazil's export success in military trainers and small civilian aircraft was quite different. 16 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.75
+MOP2 no To my officers , it says why should we bother. 9 1, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4, 1, 4 3.07692307692
+MOP2 no Her Royal Highness traveled in an aircraft of the Queen's plane and was accompanied by Mrs Harry Cotterell . 18 4, 4, 1, 4, 1, 1, 4, 4, 4, 1, 1, 4 2.75
+MOP2 no In the last two years of the war , I was in court visit each station and squadron in my endless quest for Pathfinders . 23 4, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4 1.85714285714
+MOP2 no EU does not concern itself with national health and education policies. 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no The manager makes all the decisions and issues instructions, expecting them to be obeyed without question. 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Now I understand why they paid Macaulay Culkin $ 3,000,000 - he deserved it . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no This time there were windows to the child ( invisible competitor ) so your child can see how chocolate was on each trial. 21 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 no It is of such character string comparisons formats that we now turn . 12 4, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.52941176471
+MOP2 no He has been with me too , Brother, ' Tundrish replied simply . 10 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.75
+MOP2 no He had noted with approval the hot tears of Antiochus III , when the rebellious Achaeus was brought to him "" bound hand and foot "" ( 8.20.9 ) . 24 1, 4, 1, 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 4, 1, 4 3.0625
+MOP2 no Of the 18 patients who were alive at short term follow up (mean (range ) 19.4 ( 10-33 ) months) was 14 still alive in 1992 ( 69 ( 61-83 ) months ) . 24 4, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 4, 4, 1 2.07142857143
+MOP2 no He took the gun and went to the door , checking the horse and cart was still securely bound . 18 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 4 3.4375
+MOP2 no Front sash window , original fireplace , built in single wardrobes , radiator , power points , stripped wood flooring. 15 4, 4, 4, 4, 4, 1, 1, 1, 4, 4, 1, 1, 4, 1 2.71428571429
+MOP2 no The result has been to destroy much of the progress in health care in the years prior to every dispute . 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 no Laughter shone in his eyes when he met her belligerent stare. 11 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 no They were just minutes from the train station , the service was frequent . 12 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1 3.25
+MOP2 no Perhaps most significant of all, three of boxing 's all-time greats - Ali , Robinson and Armstrong - was born into comfortable circumstances. 19 1, 1, 4, 1, 4, 1, 1, 1, 1, 4, 4, 1, 1, 4 2.07142857143
+MOP2 no Halifax Building Society, where the bombers had placed his unit , is now a pile of rubble . 16 1, 4, 1, 1, 4, 1, 4, 1, 4, 4, 4 2.63636363636
+MOP2 no Michael Ryan has set for a rapprochement between deconstruction and Marxism. 11 4, 4, 4, 4, 1, 1, 1, 4, 4, 1, 1, 4, 4, 1 2.71428571429
+MOP2 no There is no other catalog quite like OXFAM Christmas catalog. 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.75
+MOP2 no Unless there are more resources pumped in, this is going to happen , she says. 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no It was a way of thinking and behaving . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Yes,"" she said briefly , and for a while they studied each other . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.8
+MOP2 no The parts of the law are arranged in three groups . 10 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 no Oddly , his only international appearance for the English against the Scottish League in 1914. 14 4, 4, 4, 1, 1, 4, 4, 4, 4, 1, 1, 1 2.75
+MOP2 no Through discussions information from other sites are confidential. 8 1, 4, 1, 4, 4, 1, 4, 4, 1, 1, 4, 1 2.5
+MOP2 no A prime minister can not safely delegate its investigation because , once adopted , these rules affect the lives of 56 million Britons . 21 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1 3.57142857143
+MOP2 no Somewhere in the silence between them a phone began urgency , persistent ring . 12 1, 4, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1 1.75
+MOP2 no In a number of cases reminders were necessary ( both in writing and by telephone ) . 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no However , things may look quite different from the angle of them just above the lower limit. 16 4, 1, 4, 4, 4, 1, 1, 1, 4, 1, 4, 1, 1, 1, 4 2.4
+MOP2 no Repeat what they hear , women on the right claim that something called "" Salvadorean democracy "" is in danger. 17 4, 4, 4, 1, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 4, 1 2.5
+MOP2 no Thomson Holidays include an airline (backward integration) and a chain of travel agencies (forward integration) . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4 3.6
+MOP2 no Some of London's historic houses can still be seen as they were intended. 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.8125
+MOP2 no Table I summarizes the clinical features of these patients . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.76923076923
+MOP2 no Further information from SS Langer, RSC , Burlington House , Piccadilly , London W1V 0BN . 12 4, 4, 1, 4, 4, 4, 4, 1, 1, 1, 4, 1, 1 2.61538461538
+MOP2 no The Jarisch - Herxheimer reaction , usually abbreviated as "" Herxheimer ' reaction following the first dose for the treatment of syphilis in a percentage of cases. 23 1, 1, 1, 4, 4, 1, 4, 1, 4, 1, 4, 4, 1, 1 2.28571428571
+MOP2 no Ideally, this would not be necessary if those submitting them has a vision for and support the work financially. 19 4, 1, 4, 4, 1, 4, 1, 4, 4, 1, 1, 1, 4, 1 2.5
+MOP2 no Looking around the room , on the old , worn furniture , I realized that Herbert must be very bad . 17 1, 4, 1, 4, 4, 1, 1, 1, 1, 4, 4, 1, 1, 1, 4 2.2
+MOP2 no They will be joined by John Tierney and John Kerr. 10 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4 3.75
+MOP2 no Nevertheless trophy sitting in Jim office at Peel Park and will stay there . 13 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1 1.64285714286
+MOP2 no Homology search in Leeds and Swiss protein databases failed to detect any significant similarity with other proteins. 17 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.76923076923
+MOP2 no ' It may have something to do with Angy murder. 9 4, 1, 4, 4, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 2.0
+MOP2 no Farmers , who see themselves as guardians of the west , saying that grazing generate economic stability and feeds the nation. 19 4, 1, 4, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 4, 1, 1, 4 2.23529411765
+MOP2 no A water softener works on the principle of "" ion exchange "" . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Steve Jones (he speaks specifically about Jones ' zealous Christianity) : "" Many people are simply uncomfortable with some people "" over - religious ""or whatever you call it . 22 1, 1, 4, 4, 4, 1, 1, 4, 1, 1, 4, 4, 1 2.38461538462
+MOP2 no Lorne plateau is formed of Devonian andesitic lava and tuffs that are concurrent with Lagalochan intrusion and mineralization, and unconformably lie over Dalradian schists . 24 4, 4, 4, 4, 4, 4, 1, 1, 1, 1, 1 2.63636363636
+MOP2 no Many of them also offer a mail order service 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no He looked up at Athelstan , his face beaming with pride. 10 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.75
+MOP2 no She was used to drive the luxurious Saab at this time, although the first charge had paralyzed her considerably. 19 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 4, 1, 1 1.9375
+MOP2 no We want to give children positive memories that they can draw on in difficult times at home to build a better country . 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.8
+MOP2 no 'The PLO was trying to sabotage the departure of Muslims. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.75
+MOP2 no MOTOROLA get GLOVES OFF IN BATTLE WITH HIS old rival, Prices PowerPC PRICED TO BEAT PENTIUM 16 1, 1, 1, 4, 1, 1, 4, 4, 1, 1 1.9
+MOP2 no Like many popular assumptions about the subject, this is wrong . 10 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 no Mutalibov told Izvestiya , from his hiding place in Russia , that the charges were political persecution . 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.78571428571
+MOP2 no For Commercial Union market model explained 25 percent of the variation between the returns . 14 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1 1.6
+MOP2 no My suggestion , I assure you, will be of mutual benefit. ' 10 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 no Only in John's Gospel he makes a curious and deeply interesting statement . 12 1, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 1, 4 3.14285714286
+MOP2 no They were returning from a day repair and construction work on a military base in Omagh . 16 4, 4, 4, 1, 1, 1, 4, 4, 1, 4 2.8
+MOP2 no In one area ... four halls had their roofs burned off. 10 4, 4, 4, 4, 1, 4, 1, 4, 1, 4, 1, 4 3.0
+MOP2 no The buildings were transformed either pour into a gallery of Bohemian art of František Josef CuBr and Pilar, in 1960. 20 4, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1 1.52941176471
+MOP2 no But the other part cried out against the very thought that she is someone else's wife . 16 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.5
+MOP2 no These problems or investigation is expected to be diverse. 9 1, 1, 1, 1, 4, 1, 1, 4, 4, 1, 1, 1 1.75
+MOP2 no Between August 1975 and December 1978 in COS -B satellite observed 2CG342 - 02 on five occasions and cataloged it as the tenth strongest γ - ray source. 24 1, 4, 4, 1, 1, 4, 4, 1, 4, 4, 1, 1, 4, 4, 1 2.6
+MOP2 no ' We sent our rescue team as soon as we could, but it was too late, he says . 17 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.57142857143
+MOP2 no Not like a Saturday night at all though , not really. ' 10 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.57142857143
+MOP2 no Hopeful for what he did not want to miss when it fails 12 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 4, 4, 1, 1, 1, 1 1.75
+MOP2 no And what would you have done if Schemichal got hold of you and threw you off that last night ? 19 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 no I should add that the argument he also invited my attention to paragraph 5 ( 7 ) and I will refer to that: 21 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1 1.75
+MOP2 no Once I was happy with the bottom group I copied it, like a mirror , on top of the image . 19 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 1 3.25
+MOP2 no From then on , the path to the double helix clear. 10 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 no Sun is also preparing its Scorpion eight-way Sparc desktop computer for launch at Sunworld show at 11 May. 18 4, 4, 4, 4, 4, 4, 4, 1, 1, 1, 1, 1, 4, 4, 1 2.8
+MOP2 no Therefore, political and economic accounting of the costs and benefits of soil conservation programs for others outside the directly affected areas are potentially relevant. 24 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1 3.57142857143
+MOP2 no Does he further agree that there is a need to reopen the neighborhood police stations and putting more emphasis on community policing ? 22 4, 4, 4, 4, 1, 4, 4, 4, 1, 1, 1, 1, 4, 1 2.71428571429
+MOP2 no Fourteen days later Edward sealed text and issued it to all women . 12 4, 4, 1, 4, 1, 1, 1, 1, 4, 4, 1, 1, 4 2.38461538462
+MOP2 no Since then it has been so intensely followed as many full-length TV shows . 13 4, 4, 1, 4, 1, 1, 4, 1, 4, 1, 4, 1, 4, 1, 1, 1 2.3125
+MOP2 no Questionnaire sent by mail will not be returned and refused interviews . 11 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 4, 1, 4 2.07142857143
+MOP2 no Twice I ran dangerously close to the edge , my eyes dazzled and eyelid drooping. 14 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1 3.30769230769
+MOP2 no The operation will eventually involve more than 35,000 troops from at least nine countries. 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no UI will no longer be just a claim body or a marketing arm for USL . 15 4, 1, 4, 1, 4, 4, 4, 4, 1, 4, 4, 1, 4, 1, 4, 1 2.875
+MOP2 no Before explaining how to tackle a course race is worth looking at what makes a sailor go faster than another . 20 4, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1 1.6
+MOP2 no Only there was anything else she could go . 8 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1 1.5
+MOP2 no Although his features looked as if they had been carved out of the rock, in the depths of his eyes touched something . 22 4, 1, 4, 1, 1, 1, 4, 4, 1, 1, 1, 1, 4, 1, 1 2.0
+MOP2 no In both subjects , however, the status quo changed radically in comparison to 1979. 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no These percentages were not uniform across the country , local specialties dictated what was available . 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no We may never know the exact number of deaths. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no This was rejected on 17 April and 18 respectively . 9 4, 4, 1, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4, 1 3.14285714286
+MOP2 no Women , Art and Society is a synthesis of the work has been progressing for twenty years about women and the visual arts . 22 4, 4, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.8
+MOP2 no At his own expense he established no less than ten p.m. charitable schools in Pembrokeshire alone. 16 4, 1, 1, 4, 1, 1, 4, 4, 4, 1, 1, 4, 1, 4, 1 2.4
+MOP2 no Ground deformation during an earthquake could bend pipes as if they were drawn copper wire. 15 4, 1, 4, 1, 4, 4, 4, 4, 4 3.33333333333
+MOP2 no Within a few days of his election he already knew that the way to achieve this "" new Pentecost "" was an Ecumenical Council. 22 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.53846153846
+MOP2 no To follow Jesus as his disciples means that we also encounter resistance to live like him . 16 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 no His wheel ran into the wet grass and the machine crumpled and fell to his knees like an animal shot in the chest. 23 4, 4, 1, 4, 4, 1, 1, 4, 4, 4, 4, 4, 4, 1, 1, 1, 4 2.94117647059
+MOP2 no Jenna stopped and faced him angry, but before she could speak he tilted her face with a strong brown hand . 20 4, 1, 4, 1, 4, 4, 4, 1, 1, 4, 4, 1, 4, 4, 1, 1 2.6875
+MOP2 no I look at you, "" said Grainne softly , ""and I do not see travesties . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Next day one of 252 Squadron newcomers Beaufighter ( T3237 ) was mistaken for a Ju88 while on a local flight. 19 4, 4, 4, 4, 4, 4, 1, 1, 4, 1, 1, 4, 1 2.84615384615
+MOP2 no Carrington saw the ocean for the first two hours , mesmerized by the Scandinavian night, then went to sleep . 18 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4, 1, 1 3.29411764706
+MOP2 no It was originally recorded as a crib and there was no deathbed , but there will now be a deathbed . 19 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 4, 1 3.25
+MOP2 no Political in the sense that if I threw this glass of water over yourself in an interview , it would be a political act . 23 4, 1, 4, 4, 4, 1, 4, 1, 1, 4, 4, 4 3.0
+MOP2 no ' So you're going solo now, said the victim, fumbling for her smoking again . 13 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.1875
+MOP2 no Here are ten assorted uses for this book ; 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Still in deep , old Michael , I should think . 8 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 4, 1 1.8
+MOP2 no A sports injury to increase the athlete, or Gilmore groin that occurs when tendons in the groin tear due to excessive stretching and twisting . 24 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 4, 1 1.75
+MOP2 no Ideal for a small flat , the washer / dryer as advanced as the one in the main house laundry . 18 4, 4, 1, 4, 1, 4, 1, 1, 4, 4, 4, 1, 1, 1, 1 2.4
+MOP2 no The deputy chairman of the Council of Ministers , Boris Shcherbina , forbade the evacuation of surrounding Chernobyl until a government commission had come from Moscow. 24 4, 4, 4, 1, 1, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.4
+MOP2 no The weekend was associated with an increase in fluctuations in accordance with expectations. 13 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.76923076923
+MOP2 no There is a tradition in our family that Santarém Madonna will always be reunited with their owners , do you know? 20 4, 4, 1, 4, 4, 1, 1, 4, 4, 1, 1, 4, 1, 1 2.5
+MOP2 no As it is a beta version , it is difficult to give ClarisWorks one star rating. 15 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4 3.4
+MOP2 no All she had to do was get a good night's sleep. 11 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.75
+MOP2 no A TOWN farm is plowing ahead with fundraising schemes to help disabled people and plans to the ceiling in a riding area for the disabled. 25 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 4, 4, 4, 4, 1, 1 2.125
+MOP2 no 'All credit to Gavin gave me the ball in the end, with a little persuasion . 14 1, 4, 4, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1 1.8
+MOP2 no The first drafts of The Prelude was written in Germany in winter 1798-9 . 13 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.57142857143
+MOP2 no Soldiers will no longer be given free cigarettes. 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no A criminal trial is not a court order to reveal the truth . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.8
+MOP2 no They came to the kind of unspoken understanding real twins enjoy. 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no ' Harbury 's husband crime , ""said a voice, "" what is his opinion? ' 9 1, 1, 4, 1, 1, 1, 4, 1, 4, 1, 4, 1, 1, 1, 1 1.8
+MOP2 no Dustin is neat Beatle cut is slightly disheveled , and there is a close up of a mole on the right shoulder . 21 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.1875
+MOP2 no In the late 1940s there was a wider range of predefined grocery lines available, and improvements had been made in the quality of packaging. 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no After clearly factual ' Headpiece filled with straw "" comes the most absurd poetic words of all, indicating the speaker's weakness. 19 4, 1, 4, 4, 4, 4, 1, 1, 4, 1, 1 2.63636363636
+MOP2 no I thought it was some weirdo and when I asked who was calling voice shouted, "" That's me ! ' 17 1, 4, 1, 1, 1, 1, 4, 4, 4, 1, 1, 1, 1, 1, 4 2.0
+MOP2 no Well, it's not a bad idea, is it? 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no The beauty of glass , he wrote , is this, that the surface does not need to be covered . 17 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4 3.35714285714
+MOP2 no The Cougar mold was last used about 8 years ago and is past his best, he suggests Mirage similar to the Cougar . 22 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 4, 4, 1 1.64285714286
+MOP2 no I should probably have a word said Brigadier , pull the head and open the door. 15 4, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1 1.64285714286
+MOP2 no Some slogans and ideas from the "" Democracy Wall Movement"" of 1978-1979 was another brief consultation during these days. 18 4, 1, 1, 1, 4, 1, 4, 4, 4, 1, 1, 1, 4 2.38461538462
+MOP2 no The Metropolitan Police decided in the Supreme Court damages claim by cameraman Mr Anthony Walsh , whose spine was injured during the Wapping dispute. 23 4, 1, 1, 4, 4, 1, 4, 4, 4, 1, 4, 1 2.75
+MOP2 no ' If I get another few shillings out of it, I have not earned them ? 14 4, 4, 4, 1, 1, 1, 4, 1, 4, 4, 4, 4, 4 3.07692307692
+MOP2 no Fill the gaps, identify queries and note points of immediate attention. 11 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.75
+MOP2 no And he blows the smoke back into my mouth . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no The genetic spray was described as a very exciting development by another team of researchers, Dr Julia Dorin . 18 4, 1, 1, 4, 1, 4, 4, 1, 4, 4, 1, 4, 1 2.61538461538
+MOP2 no The old Highways Yard in Rigby Road with its railway connection seemed to offer an ideal site . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Jodami and Jag wild jumped the last together, and Jodami found the vital additional equipment to benefit from it. 19 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.4
+MOP2 no Is it possible to view private wealth co - existing with corporate poverty ? 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1 3.5
+MOP2 no The Ardakkeans was said to be superhuman strong and invulnerable to most life - threats. 14 4, 1, 1, 4, 4, 1, 4, 1, 4, 1, 4, 1, 4, 4, 4, 1 2.6875
+MOP2 no Villagers fight to block the sale of the old common 10 4, 1, 4, 1, 4, 4, 1, 4, 4, 4, 1, 4, 1, 1, 1 2.6
+MOP2 no There are various ways that a recovery may be obtained from: - 11 4, 4, 4, 1, 1, 1, 4, 4, 4, 1, 1, 1, 4, 1 2.5
+MOP2 no By the way , it seems a long way , but I just need to walk a mile across the fields outside the farm. 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.8125
+MOP2 no And Notes from Underground is just such a fable of disembodied consciousness. 12 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4 3.4
+MOP2 no We got our film crew and Robin sat down in front of our reeds. 14 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 1, 1 3.30769230769
+MOP2 no Conservative candidate Robert Goodwill, has written to Labour's Marjorie Mowlam ask her to clarify her personal position on the nuclear defense of the country. 24 4, 4, 4, 4, 1, 1, 4, 4, 4, 4, 4, 4, 1 3.30769230769
+MOP2 no The Arab masses, indignant at the Western humiliation of Saddam Hussein , were expected to rise up against their pro - Western leaders . 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Some of America's most powerful men are worried sick after the theft of an address belonging to New York's most notorious madam . 22 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1 3.4375
+MOP2 no Neil Cosson , director of the Science Museum , is convinced the old numbers can be restored. 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no It would be a good exercise to compare this electrical system with clear acoustic string telephone in Part 1 ( November 1991 edition ) . 22 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4, 1, 4 3.30769230769
+MOP2 no The role of the state was even more pronounced in Berlin in the cultural sphere. 15 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.72727272727
+MOP2 no AID TRIP gives students a lesson in third world poverty and FEAR 12 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1 3.4375
+MOP2 no She noticed his fingers trembled , and her anger faded , replaced instead by a wildly optimistic and hopeful. 17 4, 4, 1, 1, 1, 1, 1, 4, 4, 1, 4, 1 2.25
+MOP2 no In the jargon of quantum mechanics , this choice of behavior known statistic followed by the particle. 16 4, 4, 1, 4, 1, 1, 1, 4, 1, 1, 4, 4, 1 2.38461538462
+MOP2 no You can format the spreadsheet manually , or design your own speed format routine. 13 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 no He came to an arrangement with two actors, camera crews gave some private pocket and turned the film over to his assistants . 22 4, 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 4, 1, 1, 4 2.125
+MOP2 no CELIA ALMOST WELCOMED thought of going to work. 8 1, 1, 4, 1, 4, 4, 1, 1, 1, 4, 1, 1, 4, 4, 4 2.4
+MOP2 no I can only assume that my name had respectable associations, and he thought it could dampen criticism that can be called Athenaeum circles. 23 4, 4, 1, 4, 1, 1, 1, 4, 1, 4, 1, 1, 4, 1, 1 2.2
+MOP2 no Earth to earth , ashes to ashes , dust to dust ... ' 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.8
+MOP2 no ' It so happened that No 5 Air School was not far away from the mine where Churchill hid under the Boer War, "" Clifford recalls. 24 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.72727272727
+MOP2 no I like to work things out with numbers, such as how much wallpaper or carpet I need to buy 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Not only will the sample be easier in the future , but it should also be cheaper too. 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no I then turned the picture round and completed the other two sides . 12 4, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.57142857143
+MOP2 no If so, they share their knowledge with us ? 8 4, 1, 1, 4, 4, 4, 4, 4, 1, 4, 1, 1, 1 2.61538461538
+MOP2 no Tip the mixture into the prepared tin and tilt the tin to level the mixture. 15 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.76923076923
+MOP2 no U2 last night unveiled its stunning new video interference on a spectacular bash at London Planetarium ... 16 4, 4, 4, 1, 4, 1, 4, 4, 1, 4, 4, 1, 1, 1, 4 2.8
+MOP2 no But Mr. Leggatt hoped that the shortage of space for burials would lead to restrictions in the future . 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.7
+MOP2 no My social worker who gave me advice asked me to adoption or fostering , and I said fetuses (it was a white family). 21 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP2 no For this reason it was really only suitable for the production of plywood, which was very successful. 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.78571428571
+MOP2 no But I guess they 've got something to show if they have built good roads and railways and so on . 19 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 no Tom - Frode , Odd -Knut and Tony waiting for us to arrive. 10 4, 1, 4, 4, 1, 1, 4, 1, 1, 4, 1 2.36363636364
+MOP2 no The white lines show the body's electric power energy -giving crystals can set 12 4, 4, 1, 1, 1, 1, 4, 1, 1, 1 1.9
+MOP2 no Gift to create a pleasant environment with minimal resources . 9 4, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1 1.75
+MOP2 no Guinness provides financial support to organizations engaged in medical research, health , youth , environment and conservation , employment and enterprise foundations , education and the arts. 23 4, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4 3.30769230769
+MOP2 no The second workshop , developed by and for Napier Polytechnic , was designed to prepare college staff for a validation event. 19 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 no Questions may be asked by the Speaker (see below) or player who has just thrown (or would have just thrown ) 18 4, 4, 4, 1, 4, 4, 1, 1, 4, 1, 4, 4, 4, 4, 4, 4 3.25
+MOP2 no And they said : Who shall we do ? x . 8 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1 1.5
+MOP2 no The other limiting factor was less immediate , but the greater the potential effect. 13 4, 1, 1, 4, 4, 1, 1, 4, 1, 1, 1, 4 2.25
+MOP2 no It seems to me that she makes all the rules and I just waited to carry them out and still be responsible . 22 4, 1, 4, 4, 1, 4, 1, 1, 4, 4 2.8
+MOP2 no When the nest is finished, put the male in search of a woman. 13 4, 1, 4, 4, 4, 1, 1, 4, 4, 1, 4, 1, 1, 1 2.5
+MOP2 no of them showed that they had been raped in marriage. 10 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 no The government plans to reverse the process of reforestation and investments in projects with sustainable development . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no He deign not to compare the British and the French railways . 11 4, 4, 4, 4, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 4 2.4
+MOP2 no Adding child on her back , turn upside down and remove any debris in the mouth with your finger. 18 1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.46153846154
+MOP2 no Strache may be 37, but who cares really? 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no In return, cut the Church for a somewhat uncertain numbers. 10 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP2 no But it is almost certain that the offer will be rejected. 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Mr Stolpe said the East Germans had recently discovered his power , and Mr Krenz had not succeeded in restoring management's credibility. 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.8
+MOP2 no Smiling, Harry put the letter back in its envelope . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Leicestershire is the only county to account for their distributions TCCB in cash as opposed to when they are earned . 20 4, 4, 4, 4, 1, 4, 1, 4, 1, 4, 4, 1, 4, 4 3.14285714286
+MOP2 no It will look good on the beach, an evening peak under a pretty blouse or under a jacket for work. 20 1, 4, 1, 4, 4, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.9375
+MOP2 no They also read representative works of traditional and modern Chinese history , literature , philosophy and religion. 15 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no If you prefer an elegant brass finish , the Brass dream fire by Valor a good choice, and costs about £ 399 . 20 4, 4, 4, 1, 1, 1, 4, 4, 1, 4, 1, 1, 4 2.61538461538
+MOP2 no ' If you did, then it is just about the greatest miracle someone has ever done since the time of Jesus . ' 20 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.6
+MOP2 no She kicked something in the dark , and stopped briefly to pick it up . 13 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 no ' I'm just back from India , he announced importantly . 8 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.625
+MOP2 no It's the kind of place where you can find another subject of interest each time you return . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no McLaren keeps his own counsel , is as reluctant as Ferguson is gregarious . 12 1, 4, 1, 1, 4, 1, 4, 1, 4, 1, 1, 1, 1 1.92307692308
+MOP2 no She had made a final attempt Archdeacon before departure . 9 1, 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 4, 1, 1 1.85714285714
+MOP2 no Air show: The famous Red Arrows are to provide a grand finish to Southport Air Show. 16 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1 3.6
+MOP2 no Add the orange zest and juice , eggs , sugar , cornflour and ginger. 11 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP2 no A path led up from where they stood , its flag stone worn and broken, progress hidden here and there with moss and weeds . 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4 3.8
+MOP2 no ' I have to peel potatoes for Matey , and you need to take evening surgery and be ready for your guests. ' 20 1, 1, 4, 4, 4, 1, 4, 1, 4, 1, 4, 4, 4, 4 2.92857142857
+MOP2 no R4 this morning SAYS DON HOWE is another likely candidate to take U.S. INTO THE NEW YEAR . 17 1, 4, 1, 4, 4, 1, 4, 4, 4, 1, 1, 1, 1, 4, 4 2.6
+MOP2 no It is one of the ways in which the Spirit awakens prayer in the people of the Messiah. 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.76923076923
+MOP2 no Such conditions should be the same for everyone. 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.8125
+MOP2 no Or if you walked into her kitchen and disturbed . 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 no But after 1976 , the municipalities of East London able to publish the advantages of its industrial areas . 17 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1 1.6
+MOP2 no Japanese banks operating in London accounted for 28.5 % of total loans from London in 1991 , U.S. banks 15% and other banks 40.7 % . 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no I'm dying for a cup of tea, Charlie announced. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Katherine's mother had come home just days before they were ready to leave. 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no And hoping for a Twickenham meeting with either Kidderminster Carolians or Hitchin in the final. 15 4, 4, 1, 4, 1, 4, 4, 1, 4, 1, 1, 4 2.75
+MOP2 no This is an appeal from Swansea City Council against a decision by Judge Michael Evans QC, Given Swansea City Court on 6 February 1991. 24 4, 1, 4, 1, 4, 4, 4, 4, 4 3.33333333333
+MOP2 no She stared into his eyes , and then suppressed hunger there, and her heart seemed to contract when the swell inside her. 21 1, 1, 1, 4, 1, 1, 4, 1, 4, 1, 4, 4, 1, 1 2.07142857143
+MOP2 no A sense of well being , of transformation and enlightenment, penetrates the marrow of his bones . 15 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 no - A control sample of respondents had all three traits, and a quarter two out of three . 16 1, 4, 4, 4, 1, 4, 1, 4, 1, 1, 1, 4, 4, 1, 4 2.6
+MOP2 no wonder why you - But mibbe I should thank ma 9 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.23076923077
+MOP2 no Blossoming out of the speaker boxes located at the curb , thundering from bars and shops , each corner of its own sound system . 22 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 4 1.69230769231
+MOP2 no A lovely flower early, strongly scented of honey , and a yellow golden interior, but plain gray purple, with darker stripes on the outside. 23 1, 4, 4, 4, 1, 4, 4, 1, 4, 1 2.8
+MOP2 no Young people's knowledge about the harmful effects of smoking are substantial , and those who take up smoking do so purely out of ignorance. 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 1, 4 3.53846153846
+MOP2 no Tandem annual revenue grew 24 percent to $ 1.6 billion. 9 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP2 no Gwyneth Dunwoody stated that we were secretly dismantling health and Roy Hattersley muttered about contracting out old people who brightened . 20 1, 4, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.6
+MOP2 no Can a man who deserted his wife and children for another woman is free without any scars? 17 1, 4, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.6
+MOP2 no If the French should take them and see them directed against such noted men , they can take care of sending them to them. 23 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.25
+MOP2 no The Cats Protection League Bazaar , Parliament Room, Royal Baths Assembly Rooms , Crescent Road. 13 1, 1, 1, 1, 4, 4, 1, 1, 4, 1, 1, 4, 1, 1 1.85714285714
+MOP2 no Their findings are disturbing consequences for 600,000 people are believed to have been affected by the release of radiation. 19 4, 1, 4, 1, 4, 1, 4, 1, 4, 4, 1, 1 2.5
+MOP2 no Viol tried to flag down another , but the driver ignored him . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Graphic oriented programming tools , application programming interfaces and cross- application macro facilities will also be offered . 16 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Thirdly, the uncertainty surrounding the future of the industry now . 10 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 1, 4, 4, 4, 1 3.2
+MOP2 no The closest cooperation between the grant officers and each unit managers is important in the design of the plan and in planning your holiday . 24 4, 4, 1, 4, 4, 1, 4, 1, 1, 4, 1, 1, 4, 1 2.5
+MOP2 no There is no robust criticism , no convincing evidence , no sign of learning from a decade of failure. 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Survival time was defined as the period between surgery and death. 11 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.76923076923
+MOP2 no Mr Tadgell , 32, rented an apartment in Australia with Joanna as she has gone from a cleaner to a waitress at the casino. 23 1, 4, 4, 1, 4, 4, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1 2.6875
+MOP2 no The Daurog moved about their business , eyeing Tallis with the same trembling caution as the night before . 17 4, 4, 4, 4, 4, 1, 4, 4, 4 3.66666666667
+MOP2 no Mr Jenks marched along the corridor , glaring wrath fully about him , and the children fell back on both sides without a murmur . 22 1, 1, 4, 4, 4, 4, 4, 1, 4, 1, 4 2.90909090909
+MOP2 no Your detective of the detective story , of course , went about seeking information. 12 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.5
+MOP2 no In the seventeenth century the new Dutch Republic was the only major power to make extensive use of this method of representation. 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no As you work on a peer - group policy model of photography and opinion? 13 4, 1, 4, 1, 4, 1, 4, 1, 1, 4, 4, 1, 1, 1, 1, 4 2.3125
+MOP2 no It's not like the old days when people lived in villages and knew that great- grandad was a horse thief or whatever. 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Directives had no application to the parliamentary proceedings or election law and reported speech. 14 1, 4, 4, 4, 1, 4, 1, 1, 1, 1, 4, 1, 4, 1 2.28571428571
+MOP2 no Crystal thought Berg was a newspaper reporter and she assured Rain: ""I did not ruin your story by telling him MI which killed MacQuillan . ' 23 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 4, 1 1.85714285714
+MOP2 no Another street also runs roughly north -south , lying between it and Ryknild Street , branch north of Tiddington road 17 4, 4, 1, 4, 1, 1, 1, 4, 4, 4, 4, 4, 1, 1 2.71428571429
+MOP2 no ' If you want to use the bathroom often . 8 4, 1, 1, 1, 4, 1, 1, 4, 1, 4, 4, 1, 4, 4, 1 2.4
+MOP2 no When the Indians went hunting , either for animals or rival Indians , their firepower fatal. 14 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.2
+MOP2 no Facts speak for themselves , but only if leaders are willing to listen , prepared to be convinced. 16 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4 3.6
+MOP2 no In the preceding decade, London and other major metropolitan cities recorded massive population loss ; between major cities either lost people or experienced only slow growth . 25 4, 4, 4, 1, 1, 1, 4, 1, 4, 1, 4, 4, 1, 4 2.71428571429
+MOP2 no ' After the demise of our great team in '86 , we were building sand castles for a while - they fell together all the time . 22 1, 4, 4, 4, 4, 1, 1, 4, 4, 4, 1, 1, 4 2.84615384615
+MOP2 no Amiss were struck by the courtesy and strangely uplifted to find that not everyone in this establishment was that Colonel Fagg . 21 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 no One in six trees in Switzerland is showing signs of ill health - twice as high as eight years ago . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no LEFT : Painter and decorator Kevin Barton locked into this early 2 pounds 14oz plaice during a session at Lepestone Point in Hampshire . 22 4, 1, 4, 4, 1, 4, 1, 4, 4, 4, 1, 1, 4, 1 2.71428571429
+MOP2 no It has been estimated that 65 percent of the deals are spot and the rest is up appointments. 18 1, 4, 1, 1, 1, 1, 4, 1, 1, 4, 4, 1, 1 1.92307692308
+MOP2 no This was necessary in order to qualify for a subsequent call to the Bar . 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no ' Here he comes , watch out for this guy . ' 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no I hope you're not gon na have a place . 9 4, 1, 1, 1, 4, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.8
+MOP2 no to give children the skills necessary to perform simple math functions (related to the four rules) without problems 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no The distinction between equity and equality in the distribution and use of social services is crucial to the debate on health inequalities. 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no After I had my tea I would go to bed . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no The extensive tour included building purchase, consumption , laboratory, steeping , germination and malt kilns and dispatch. 15 1, 4, 1, 1, 4, 4, 1, 4, 4, 4, 4, 4, 1, 4 2.92857142857
+MOP2 no After all , he had managed to defeat the system and was in sole command of a small military unit . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Then she jumped up and ran along the trail. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no I think G.P. hold me and caress me. 8 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.23076923077
+MOP2 no I did not want to be a superstar , I would only be able to play well . 16 4, 4, 1, 1, 1, 1, 4, 4, 1, 4, 4, 4, 1, 1, 4, 4 2.6875
+MOP2 no This is not to deny , of course , is that crime and violence in today's society is an important social reality. 20 1, 1, 4, 1, 1, 4, 4, 4, 1, 1, 4, 1, 4, 1 2.28571428571
+MOP2 no They strung a net between two trees and flipped around in a spirited game of four - a-side volleyball. 18 1, 1, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.35714285714
+MOP2 no The administrative structure of the partnership, with its heavy emphasis on coordinating different agencies , would in any case tend to inhibit the unorthodox . 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no We walked solemnly around Gloucester in and out of the cathedral precincts while he told me about his childhood. 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no By comparison, companies in the 20-50 bracket workplaces suffer from neglect , they say. 13 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.6
+MOP2 no Within a few days of writing my planning notes a reasonable ( by UK standards) day dawned . 16 1, 4, 4, 4, 1, 4, 1, 4, 1, 4, 1, 4, 4, 4, 1, 1 2.6875
+MOP2 no Whether this autoantibody has direct pathogenic significance, as in Wegener's granulomatosis , remains to be determined . 15 4, 4, 4, 4, 1, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.57142857143
+MOP2 no The event received widespread television and press coverage , and requested a civil rights march on 24 August from Coalisland to Dungannon . 21 1, 4, 1, 4, 4, 1, 1, 1, 1, 4, 4, 4, 4, 4, 1, 1 2.5
+MOP2 no Robin Child refuses absolutely to grade , and when O - levels paved the way for GCSE with all its internal courses and labeling, he rejected it . 25 4, 1, 4, 4, 4, 1, 4, 4, 4, 1, 1, 4, 4 3.07692307692
+MOP2 no Synergie Ultra - Gentle Eye Make -up Remover with extracts of rose , a light oil-free moisturizer with soothing properties , £ 2.99 / 200ml . 19 4, 4, 1, 4, 4, 4, 4, 1, 1, 4, 4, 4, 4, 4, 4, 4, 4 3.47058823529
+MOP2 no Stewart and Tait was more aware of the degradation of energy, moral as well as physical and thus of impermanence of the world. 23 4, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.75
+MOP2 no This rule is subject to a number of exceptions ( see Chapter 5). 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no We are grateful to Ken Byron to set up a much needed journal in Drama and Dance Education. 18 4, 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4, 1, 4, 1, 4 3.25
+MOP2 no Cycling was also definitely related to gastroesophageal reflux . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no True to this tone , the tape Toms scientific analysis as opposed to bedtime bogeyman stories. 15 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.27272727273
+MOP2 no As was suggested in argument , it would actually be to swallow the elephant and the load on the mosquitoes. 19 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1 1.27272727273
+MOP2 no The relevant moment Dr Banda waves his fly whisk . 9 1, 4, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.64285714286
+MOP2 no Both were former members of the left-wing extremist Red Army Faction ( RAF ) . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Yet ' - her tone changed again - ""I am grateful to you for your help. ' 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Stokesley , yes , possessing either trade or manufacturers , has no appearance of bustle and business, and is a place that is well adapted to retirement . ' 24 1, 4, 4, 4, 1, 4, 1, 1, 1, 4, 1, 4, 1, 1 2.28571428571
+MOP2 no Although it is less harmful than removing bulbs and plants, can consistently seed snapper still effectively eradicate a species from an area . 22 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 no Tickets from Sgt Gordon Parkin ( phone 091567-6155 , ext. 6331 . 9 4, 4, 4, 4, 1, 1, 4, 4, 4, 4, 1, 1 3.0
+MOP2 no Religion : Christianity ( Bulgarian Orthodox Church ) , the Islam practiced by large Turkish and less Pomak minorities. 15 1, 4, 4, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.8
+MOP2 no ' There is no Black Dog here ,' said the doctor. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Learning a manipulative skills, such as writing , takes hours . 9 4, 4, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1 1.9375
+MOP2 no Our common phone in the hallway wall by the front door. 11 4, 1, 4, 1, 1, 1, 1, 1, 4, 4, 1, 1, 4 2.15384615385
+MOP2 no Mr Carpenter said : "" All the victims were elderly and infirm . 10 4, 4, 4, 4, 1, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.6
+MOP2 no They say you're a known homosexual, we mean it, "" added a third . 12 1, 1, 1, 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 4 3.0
+MOP2 no A balanced intake of calcium today means a healthier you MORNING 11 1, 1, 1, 4, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1 1.64285714286
+MOP2 no When the bishops moved into the house 10 years ago , it had been on the market for 18 months and had become very run down. 25 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4 3.8
+MOP2 no I thought I could go to America and help anti - draft students around the army camps , he said. 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no Other people apart from yourself and the candidate that may be taken into account when fixing a timetable is : 19 1, 4, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.6
+MOP2 no Her mouth had formed the words before she realized . 9 4, 4, 4, 4, 4, 4, 1, 1, 4, 4, 4, 4, 1, 4 3.35714285714
+MOP2 no Water Temperature: The normal temperature range of 72 ° -76 ° F . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4 3.75
+MOP2 no The first is a surface wound that starts as a red mark . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4 3.64705882353
+MOP2 no We are really struggling at this point in time , thinking , "" What are we , what are we about? ' 17 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4 3.53846153846
+MOP2 no I do not think Chris and the band know each other well enough at the time. 16 1, 4, 4, 4, 4, 1, 1, 1, 1, 4, 1, 4, 1, 4 2.5
+MOP2 no ' Donna , I said that we should call the police . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.78571428571
+MOP2 no It loves damp , humid, airless places with a slightly more alkaline pH than normally found in the vagina (usually slightly acid ) . 20 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP2 no Bong Water is Ann Magnuson carrying glowing incense stick it itself, Kim Gordon is a carcinogen Zippo on full flame . 20 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.0
+MOP2 no Now that she was looking closely, she realized that most of the rooms in the house had two doors . 19 1, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.6
+MOP2 no Both drank , aware that it had been a long afternoon , and Shelley least was thirsty . 15 1, 4, 4, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1 1.92307692308
+MOP2 no He had to go through Mordecai because he is a Copt . 11 4, 4, 4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4 3.47058823529
+MOP2 no But now they claim the cost of free accounts is too high . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.8
+MOP2 no What if Bruce and Pallister is injured , they have a ( decent) cover. 12 1, 4, 1, 1, 1, 4, 1, 1, 4, 1, 4, 1, 1, 1, 1 1.8
+MOP2 no But with his mother arrested was now up to him to take charge of rebellion in Poitou . 17 4, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.6
+MOP2 no ' Can it be said Barry by any chance ? ' 8 4, 4, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.75
+MOP2 no He takes it like a duck takes to water. 9 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 1, 4, 1, 4, 4, 4 3.29411764706
+MOP2 no Average household size has decreased from 3.09 in 1961 to 2.55 in 1987 and will continue to decline ( Table 2.6) . 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP2 no The form in which the dialogue is represented is the one that best suits your mood and subject of dialogue. 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.76923076923
+MOP2 no She had come to England from Berlin in 1930 and had begun his studies at the Central School of Arts and Crafts . 22 4, 1, 4, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1 1.92307692308
+MOP2 no Being one of the Prince's Chosen Women have their drawbacks. 10 4, 4, 1, 1, 1, 1, 4, 4, 1, 4, 4, 1, 1 2.38461538462
+MOP2 no At least Ferdinando now know much English, what she had said to Pen to make him feel important . 18 1, 4, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1 1.69230769231
+MOP2 no As if he remembered his manners , he saw an invitation Nicandra . 11 1, 1, 1, 4, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1 1.64285714286
+MOP2 no ' Act Two - Beginners can , said a shaking voice from outside the door. 12 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 4, 1 1.75
+MOP2 no Coming and going - there had been too much of it. 10 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 1 3.45454545455
+MOP2 no Sow seed outdoors in spring, or divide plants in spring and leave 60cm ( 2 feet) between plants. 17 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4 3.64705882353
+MOP2 no In 1925, Whittaker had become an expert in their field and Chapman were immediately impressed by his knowledge of football injuries. 21 4, 1, 1, 1, 1, 1, 4, 4, 4, 4, 4, 1, 1 2.38461538462
+MOP2 no This has now been cut from 3% to 6.7% , but according to Chairman Mike Tilbrook , 'continues to show a useful paper profit ' remaining inventory . 23 1, 1, 1, 1, 1, 4, 1, 4, 1, 4, 4, 1, 1, 1, 1, 1 1.75
+MOP4 en We've still got the Dower House , and Lincolnshire is lovely in May . ’ 12 4, 3, 3, 4, 4, 3, 4, 4, 4, 3, 4, 2, 4, 4, 4 3.6
+MOP4 en My first real friend was probably a boy called Adam . 10 4, 4, 4, 3, 3, 4, 4, 2, 4, 4, 3, 3, 4, 4 3.57142857143
+MOP4 en She was wearing denim overalls and carrying a bucket and brush . 11 3, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 1 3.61111111111
+MOP4 en In the next year he had custody of Rochester Castle . 10 4, 4, 2, 4, 4, 3, 4, 3, 3, 2, 4, 4, 4 3.46153846154
+MOP4 en BOOKING is essential for a cycle ride around Wirral Country Park on Sunday when the leader will be Cheshire ranger Barry Jackson . 22 3, 4, 4, 4, 2, 2, 4, 3, 3, 2, 3, 1, 2, 3, 3, 3 2.875
+MOP4 en This expression is called the fundamental theorem of Riemannian geometry . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3 3.93333333333
+MOP4 en Greg Hocking was one of those rare people who drift into teaching and find themselves , to their own surprise , absolutely cut out for the job . 25 4, 4, 2, 1, 4, 3, 2, 4, 1, 1, 4, 3, 4, 4, 4, 3 3.0
+MOP4 en On appointment to office a new minister will take over responsibility for many departmental policies . 15 3, 4, 4, 4, 2, 3, 2, 3, 4, 4, 4, 4, 2, 1 3.14285714286
+MOP4 en When Rhun in his kindness lent an arm to raise him from his knees , he hung heavily still , clinging to his desperate humility . 23 4, 3, 2, 4, 4, 4, 3, 3, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4 3.61111111111
+MOP4 en Figure shows how the A-measure per unit area varies with radiometer reading . 12 4, 2, 4, 4, 3, 4, 3, 2, 3, 3, 3, 3, 2, 4, 2, 4, 1 3.0
+MOP4 en In some pubs fake hand pumps serve gassy beer . 9 4, 2, 3, 4, 3, 4, 4, 4, 4, 4, 3, 2, 3, 3, 4, 2, 4 3.35294117647
+MOP4 en Preliminary work began last September following the appointment of two countryside officers who are employed full time on the project . 20 4, 4, 4, 3, 4, 4, 4, 3, 4, 3, 4, 3, 4, 4, 4, 4, 3, 4 3.72222222222
+MOP4 en This is , of course , only a tendency , and the move away from local policemen to larger , centralised policing may reduce this effect . 22 4, 4, 3, 4, 4, 3, 4, 3, 2, 4, 4, 4, 4, 3, 1 3.4
+MOP4 en Tod features another kind of dream in which he is a woman . 12 2, 2, 3, 4, 4, 2, 3, 3, 4, 3, 4, 4, 3, 4, 3, 4 3.25
+MOP4 en Valuable coaching can often come from drama school tutors who can give a fair assessment of the possibilities you may have prior to auditioning . 24 3, 4, 4, 3, 4, 4, 4, 4, 3, 3, 2, 3, 4, 3 3.42857142857
+MOP4 en Because simulated annealing is a stochastic algorithm , different runs of probeorder will not necessarily produce the same output probe order . 20 3, 4, 2, 3, 2, 4, 2, 4, 3, 3, 3, 4, 4 3.15384615385
+MOP4 en Although the music was animated , only the arms moved . 9 2, 3, 4, 3, 2, 3, 3, 4, 4, 4, 4, 3, 3, 4 3.28571428571
+MOP4 en But the report also blasts authority bosses for failing to control the activities of 58-year-old Mr Watney , who took early retirement last year . 23 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 3, 4 3.73333333333
+MOP4 en Some would of course reply personally ( he had included postage ) . 10 4, 3, 4, 4, 4, 4, 3, 3, 4, 4, 4, 3 3.66666666667
+MOP4 en Police are appealing for witnesses to the incident , which happened at 11am on Monday in Windsor Street , Toxteth . 18 4, 3, 4, 4, 4, 3, 4, 4, 2, 3, 2, 4, 3, 3, 4 3.4
+MOP4 en The surface need not be perfectly flat or smooth . 9 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 3, 3, 4, 4, 3, 4, 4, 4, 4, 4 3.75
+MOP4 en There are 5,733 empty council houses , almost 2,000 of which have been empty for more than a year . 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 en Heath ( 3.3 ) sums up one influential and long-established tradition in the study of class differences in education . 17 4, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 3, 3, 4 3.75
+MOP4 en And his price — his price can be of enormous use . 10 3, 4, 4, 4, 3, 1, 3, 3, 3, 3, 3, 3, 3, 3, 2, 3 3.0
+MOP4 en There was a significant improvement in the attendance of miners at the Mansfield clinic , however , since this was much closer to their homes . 23 3, 3, 3, 4, 4, 4, 4, 3, 2, 4, 3, 4, 3, 3, 1 3.2
+MOP4 en ‘ Then maybe most of the faults were on my side . 10 4, 4, 4, 3, 4, 4, 4, 4, 3, 2, 3, 3, 4, 4, 3, 3 3.5
+MOP4 en Gere and Basinger star in the erotic thriller Final Analysis which Warner Home Video will released into video libraries by October 18 . 22 3, 4, 4, 3, 3, 3, 2, 2, 3, 4, 4, 3, 3 3.15384615385
+MOP4 en Recently , concern has grown that Michelangelo's ceiling of the Sistine chapel in Rome has been irreparably altered by the Vatican conservation team . 22 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 en Disillusion me and get my sympathy at the same time . 10 4, 1, 2, 2, 2, 4, 3, 4, 3, 3, 2, 2, 3, 2, 3, 4, 3 2.76470588235
+MOP4 en The horse shot out like an arrow from a bow . ’ 10 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.88888888889
+MOP4 en The British Horse Society is anxious to find out why a third of them should have happened in this year alone . 21 4, 3, 4, 2, 2, 1, 4, 4, 3, 2, 3, 4, 3, 2, 3 2.93333333333
+MOP4 en Made with Pertex fabrics and Quallofil 7 filling , the Kompakt Lite weights only 1.2kg and , in its stuff sack , reduces to 7l . 22 1, 4, 2, 2, 3, 3, 2, 4, 4, 4, 1, 3 2.75
+MOP4 en In exceptional circumstances , your Head of Department will not apply the withdrawal clause if there is a reasonable explanation for failure to notify . 23 4, 4, 3, 3, 4, 3, 4, 3, 4, 4, 3, 4, 3, 3, 4 3.53333333333
+MOP4 en ‘ Goodness me , who on earth can that be ? ’ 8 3, 4, 4, 4, 4, 4, 4, 3, 4, 3, 4, 3, 3, 4, 4 3.66666666667
+MOP4 en Small specimens are sometimes confused with Synodontis petricolor . 8 4, 4, 4, 4, 2, 3, 3, 3, 4, 4, 4, 4, 3 3.53846153846
+MOP4 en They called us out into the stadium too early and it was hot , very hot . 15 4, 3, 4, 4, 4, 3, 4, 4, 4, 2, 4, 4, 3, 3, 4, 3, 4 3.58823529412
+MOP4 en The review copy is a solid black , but the basic model comes oil-finished . 13 4, 2, 4, 3, 4, 4, 4, 3, 2, 4, 4, 4, 2, 4, 3, 3, 4 3.41176470588
+MOP4 en In their bedroom something crashed to the floor , which immediately woke one of the twins who began to howl . 19 4, 3, 4, 4, 4, 2, 4, 3, 4, 4, 4, 3, 4, 4, 3 3.6
+MOP4 en Wanting a man who was such a louse . 8 2, 3, 2, 3, 2, 1, 2, 3, 4, 3, 2, 3, 2, 4, 3 2.6
+MOP4 en This essential motion can not take place except in a liquid medium . 12 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 en Upper Stowe was once called Butter Stowe because the London carrier collected butter here . 14 4, 4, 4, 4, 4, 4, 3, 4, 3, 2, 4, 4, 4 3.69230769231
+MOP4 en The induction of adhesion of particular T-cell subsets by specific cytokines would make the process of lymphocyte recruitment more flexible and selective . 22 4, 3, 3, 4, 4, 4, 4, 4, 4, 3, 4, 1, 4, 3 3.5
+MOP4 en ‘ If I'd been in your shoes I'd have walked right out on him . ’ 13 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3 3.8
+MOP4 en ‘ But it was lost — walls were built over it , the paper had disintegrated . ’ 13 4, 1, 3, 4, 4, 4, 3, 2, 4, 4, 3, 4, 2, 3, 3, 3, 4, 2, 3 3.15789473684
+MOP4 en You can visit the village — it has a pub , beach and a shop — then retrace your steps through the woods to reach the Saints' Way . 25 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4 3.8125
+MOP4 en He's amongst the qualifiers for the Lancome trophy at Paris . 10 3, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 3, 3, 4, 4 3.70588235294
+MOP4 en ‘ Steal for you ? ’ he answered Laura's astonished protest , ‘ I'd do time . 11 1, 3, 4, 4, 3, 3, 4, 3, 3, 2, 2, 3, 3, 4, 3 3.0
+MOP4 en The previous maximum flue length for the 10.5kW and 18kW output boilers was three metres . 15 4, 4, 4, 4, 3, 3, 3, 4, 4, 4, 3, 3, 4, 4 3.64285714286
+MOP4 en Rising slowly like an automaton , she made her way over to the counter and picked up the receiver . 18 4, 3, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 3, 3, 4, 4 3.6875
+MOP4 en Has he really offered you the job back ? 8 3, 4, 3, 4, 4, 4, 4, 4, 4, 4, 2, 2, 4, 4, 4 3.6
+MOP4 en They were like cogs working together , fitting into place when and where they were needed . 15 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.84615384615
+MOP4 en Agnes , now fully dressed , went into the hall . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4 3.88235294118
+MOP4 en Supplement per person per night £135 for the first night , £105 each additional night ( minimum 2 persons ) . 15 4, 4, 3, 1, 3, 4, 4, 4, 4, 4, 4, 4, 2, 2, 3, 3 3.3125
+MOP4 en You should obtain a Certificate of Posting , which is available free of charge at the counter . 16 4, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.88888888889
+MOP4 en The modernization and industrialization of nineteenth century Britain changed the population map . 12 3, 4, 1, 4, 4, 3, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4 3.625
+MOP4 en Pallister's rivals are : Steve Bruce ( Manchester United ) ; Stuart Pearce ( Nottingham Forest ; Paul McGrath ( Aston Villa ) ; Gary Lineker ( Spurs ) ; Ray Houghton ( Liverpool ) . 21 3, 4, 3, 3, 4, 3, 4, 3, 4, 3, 3, 3, 3, 4, 4, 4, 2, 4 3.38888888889
+MOP4 en ‘ This shows the company didn't learn anything from this lesson . 10 3, 3, 4, 3, 4, 3, 2, 4, 3, 3, 4, 2, 4, 4, 4, 3 3.3125
+MOP4 en Here we have an uninterrupted view of the prospect , and what a glorious prospect it is , stretching far away for many miles on every hand . 25 3, 2, 4, 3, 4, 3, 3, 3, 4, 1, 3, 4, 4 3.15384615385
+MOP4 en Two years before , two TA soldiers met at an Army open day . 12 1, 1, 3, 3, 2, 4, 2, 4, 2, 4, 3, 4, 4, 4, 3 2.93333333333
+MOP4 en Orthodox Judaism continues to teach an elaborate separation of the menstruating woman from contact with the men of her family . 20 4, 3, 4, 1, 4, 4, 4, 3, 4, 4, 3, 4, 3, 4, 3, 3, 2 3.35294117647
+MOP4 en A recent architectural survey revealed problems at the 60-year-old Salutation Church in Salutation Road . 14 4, 3, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 3, 4, 4 3.77777777778
+MOP4 en The fireplace in question was set into a huge thick wall that partly divided the main room . 17 4, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.875
+MOP4 en It is a brave move to start afresh in a garden , and a sure test of one's design talents . 19 3, 2, 4, 3, 4, 4, 3, 3, 4, 3, 3, 3, 4, 4 3.35714285714
+MOP4 en Liverpool won early popularity as a result of Britain's military victories in the Peninsula , just as Mr Major's reputation was enhanced by the Gulf War . 25 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.9375
+MOP4 en The EEC has banned BST until further research has been completed . 11 4, 4, 3, 4, 4, 4, 2, 4, 3, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.72222222222
+MOP4 en This deliberate emphasis on the young people's unreliable and hurtful past relationships poses a dilemma for residential workers . 18 4, 3, 3, 3, 3, 4, 3, 3, 4, 4, 3, 3, 4, 4, 4, 4 3.5
+MOP4 en ‘ As far as I can see we can either go for Dersingham or for the man himself . 17 3, 4, 4, 4, 4, 4, 4, 3, 3, 3, 3, 3, 4, 4, 4 3.6
+MOP4 en Distinction is drawn between existence of licence and its ceasing to have effect . 13 4, 4, 2, 4, 4, 4, 3, 4, 3, 3, 3, 4, 4, 4, 2 3.46666666667
+MOP4 en Turn them into public gardens and you create an attraction instead of an eyesore . 14 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4 3.85714285714
+MOP4 en Mr Hawke last week repeated his support for the airlines recruiting new pilots overseas and re-hiring their former pilots on individual contracts . 22 4, 3, 3, 4, 3, 4, 3, 4, 4, 4, 3, 4, 4, 3, 4 3.6
+MOP4 en In February , councillors refused to allow a variation of the hours . 11 2, 4, 3, 3, 3, 2, 4, 3, 3, 3, 3, 4, 3, 4, 4, 4, 4 3.29411764706
+MOP4 en Nine schools in three Midlands LEAs , will be identified for in-depth study , following a questionnaire survey . 16 3, 3, 3, 4, 2, 3, 3, 4, 2, 3, 3, 4, 4, 4, 4, 4 3.3125
+MOP4 en It is when the claim to neutrality is seen , as it must be , as a sham that damage is done to the judicial system . 24 2, 3, 2, 2, 3, 3, 3, 2, 1, 3, 3, 3, 1, 4, 2 2.46666666667
+MOP4 en Some of the trees , the vegetation and the animals were mechanical creations of Mirage Enterprises . 15 3, 3, 4, 4, 4, 4, 4, 3, 3, 4, 2, 3, 3, 3, 4 3.4
+MOP4 en I say he because that is what I think of , though it could be they or even she . 18 4, 4, 2, 1, 4, 3, 2, 3, 3, 4, 1, 3, 1, 1, 2 2.53333333333
+MOP4 en They are scripted for NCR System 3000 , Sun , HP DECstation and IBM hosts . 13 4, 2, 4, 4, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 4 3.75
+MOP4 en The sequel arises from Hook's Barrie-esque determination to usurp another man's family , and from the modern man's fear of the child within himself . 23 4, 4, 4, 3, 4, 4, 4, 2, 4, 4, 4, 4, 3, 3, 4, 2 3.5625
+MOP4 en He looked from one tired face to another . 8 2, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP4 en Invite the person closest to you to give you some honest feedback on the degree of diplomacy you exhibit . 19 4, 2, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4 3.75
+MOP4 en There is little scope and seemingly no consideration for a contract by the valuer as principal . 16 2, 1, 2, 3, 4, 2, 3, 3, 2, 3, 1, 3, 4, 3, 4, 3, 3 2.70588235294
+MOP4 en ‘ Oh , it's not so bad , ’ Charles offered feebly . 8 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 3, 4 3.8125
+MOP4 en And the programme ended as it dropped onto the fire to a chorus from the rest of Alf's family of ‘ unclean , unclean ’ . 22 4, 2, 1, 1, 2, 2, 3, 3, 3, 2, 2, 4, 2, 3, 2, 3, 1 2.35294117647
+MOP4 en John Taylor was an itinerant craftsman who came from Oxford in 1839 to recast the church bells at Loughborough . 19 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4 3.86666666667
+MOP4 en ‘ What are you going to do next about Tweed ? ’ 9 3, 4, 4, 4, 3, 4, 4, 3, 2, 4, 3, 3, 4, 4, 4, 4, 4, 4 3.61111111111
+MOP4 en Be flexible , if necessary suggest that more time should be devoted to an item at a separate meeting . 18 3, 4, 4, 3, 4, 4, 4, 4, 3, 3, 3, 3, 4, 4, 3 3.53333333333
+MOP4 en It was originally published by the American company Houghton Mifflin ) . 10 4, 4, 4, 4, 4, 3, 3, 3, 4, 4, 3, 4, 4, 4, 4, 4 3.75
+MOP4 en For the truth is that no single agent affects our planet as much as we do . 16 3, 4, 4, 2, 4, 3, 4, 4, 4, 4, 4, 3, 4, 3, 2 3.46666666667
+MOP4 en Glass exploded and shattered all around it as the storm wind and rain blasted down the corridor at them . 19 2, 3, 4, 2, 4, 2, 4, 3, 2, 3, 2, 3, 4, 4, 3, 3, 3 3.0
+MOP4 en Lay participation in the running of the service was reduced ; in its place community health councils were created to represent the public . 22 3, 3, 1, 4, 4, 2, 3, 3, 3, 3, 4, 3, 4, 4 3.14285714286
+MOP4 en The borrowers , Mr and Mrs Clothier , had a £225,000 advance on their home in Silverdale Avenue , Walton-on-Thames . 16 3, 4, 3, 4, 2, 3, 4, 3, 4, 4, 2, 4, 3, 4 3.35714285714
+MOP4 en Rachel sat in tense silence beside the detestable Damian Flint . 10 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.9375
+MOP4 en Fat couples in vacation plaids , bouncing about like toddlers in the low g and cooing over the moondirt souvenir jewellery . 20 1, 2, 1, 1, 3, 3, 3, 4, 3, 3, 2, 3, 3, 3 2.5
+MOP4 en The Presidential Council initially appeared designed to supplant the CPSU central committee politburo as the main centre of political decision making in the Soviet Union . 25 2, 4, 3, 3, 4, 4, 3, 4, 2, 3, 4, 4 3.33333333333
+MOP4 en The hon. Gentleman said that the proposal was half-baked . 9 3, 3, 3, 2, 4, 2, 2, 3, 3, 4, 3, 4, 4 3.07692307692
+MOP4 en The transporters are designed to withstand accidents and until recently the Govenrment ruled out any possibility of a radioactive leak . 20 4, 3, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4 3.77777777778
+MOP4 en I knew that there had to be a wound : she had not been drowned or strangled or poisoned . 18 3, 3, 4, 3, 4, 4, 4, 3, 3, 3, 4, 2, 3, 4, 3, 3 3.3125
+MOP4 en We are firmly committed to equal treatment for men and women in pensions . 13 4, 4, 4, 4, 4, 3, 4, 4, 2, 4, 2, 3, 3, 3, 3, 4, 3 3.41176470588
+MOP4 en The poison is seldom dangerous but anyone who has accidentally trodden on a sea-urchin while bathing knows how painful the swelling can be . 23 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4, 3, 3, 1, 4 3.5
+MOP4 en Luckily for us simple folk the game plot is very straight forward . 12 4, 4, 4, 4, 3, 4, 1, 4, 4, 4, 3, 3, 4, 3, 3, 4 3.5
+MOP4 en They will report to a board headed by Sir Robert Telford , chairman of Marconi , a subsidiary of the ubiquitous GEC group . 21 3, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 3, 3, 2, 4, 4, 4 3.61111111111
+MOP4 en Let us take the motion of A and B to be non-relativistic , so that . 14 4, 2, 4, 1, 2, 1, 1, 2, 4, 2, 2, 3, 2, 2, 1, 3, 3, 2, 3 2.31578947368
+MOP4 en The cessation of hostilities was agreed in principle . 8 4, 4, 3, 3, 4, 3, 3, 2, 3, 3, 3, 4, 4, 3, 4 3.33333333333
+MOP4 en A training allowance and travelling expenses for the 16 weeks of the programme . 13 4, 4, 4, 1, 3, 2, 2, 3, 4, 3, 2, 3, 2, 2, 2 2.73333333333
+MOP4 en Consider the different cell types , such as muscle , skin , gut , and nerve . 12 3, 4, 4, 4, 4, 4, 4, 2, 3, 3, 1, 4, 3, 3, 4 3.33333333333
+MOP4 en Bridget reported that the numbers for the Easter Course were much lower than at the previous courses held at Avery Hill . 21 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 2, 3, 3 3.625
+MOP4 en Single room £4.00 per night , extra night £16.00 per night 8 3, 2, 4, 3, 3, 4, 4, 4, 4, 2, 2, 4, 3, 3, 3, 3 3.1875
+MOP4 en ( 13 ) , who similarly were unable to detect a P3A + α subunit transcript in muscle of chicken , calf or mouse , mouse thymus or torpedo electric organ . 24 3, 1, 1, 2, 2, 1, 2, 3, 1, 1, 3, 2, 2, 3 1.92857142857
+MOP4 en ‘ Because the area round Cullbridge is awfully rich in rare species . 11 3, 4, 3, 2, 4, 4, 4, 4, 4, 4, 3, 2, 2, 4, 3, 3 3.3125
+MOP4 en In a cold , late spring it may prove difficult to graze off the rye in time to work up a good tilth for mangolds . 24 4, 3, 3, 2, 2, 4, 4, 3, 3, 3, 3, 4, 3, 4 3.21428571429
+MOP4 en We thoroughly enjoy Dogs Today and try to pass on all the right things to do to our present scallywag , Monty , but he's not impressed . 25 3, 1, 2, 4, 3, 3, 2, 3, 2, 3, 2, 3, 2, 4 2.64285714286
+MOP4 en You'll receive a distinctive personalised Club card with which you can claim you Air Miles at participating Shell Stations . 19 2, 2, 4, 2, 3, 3, 2, 1, 4, 4, 4, 3, 3, 4 2.92857142857
+MOP4 en ‘ The idea is to make it easier and try to get a good picture of how they feel about their own health . 22 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3 3.875
+MOP4 en In almost all investigations of any size , one investigator can be occupied full time taking statements during the first few days after the accident . 24 4, 3, 4, 3, 3, 3, 4, 4, 3, 3, 4, 4, 4, 3, 3 3.46666666667
+MOP4 en Right now , Kendall is not back at the aristocratic Everton he knew seven years ago . 15 3, 3, 4, 3, 3, 4, 4, 3, 3, 2, 3, 2, 2, 2, 2 2.86666666667
+MOP4 en Australia would be happy if the accord led to the reopening of the Panguna copper mine , one of the world's biggest . 21 4, 4, 4, 3, 4, 4, 3, 4, 4, 2, 4, 4, 3, 3, 4 3.6
+MOP4 en It is forecast to fall to 15% in April . 9 4, 4, 4, 4, 2, 4, 4, 3, 4, 3, 3, 2, 4, 4, 3 3.46666666667
+MOP4 en Despite net assets up 35% to £458 million at Stanhope , the city is unimpressed with the sector . 16 4, 3, 3, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4 3.69230769231
+MOP4 en Because a source less abundant and less generous than this river had dried up ? 14 3, 3, 4, 4, 4, 1, 2, 3, 2, 3, 3, 1, 2, 4, 3, 4 2.875
+MOP4 en The C and Ku bands , 4GHz to 6GHz and 11GHz to 14GHz respectively , are now heavily used . 17 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 3, 4, 3, 4, 3, 3 3.64705882353
+MOP4 en These aspects of political choice are still important but less so now than in the past . 16 3, 4, 3, 3, 3, 4, 2, 4, 4, 4, 4, 4, 3, 4 3.5
+MOP4 en She made you look a bit of a fool in front of anyone else who was watching . 17 4, 3, 4, 4, 4, 4, 4, 3, 4, 3, 3, 3, 4, 4, 4, 4 3.6875
+MOP4 en If so , they hadn't expended much on a decent script . 10 3, 3, 3, 4, 4, 3, 4, 3, 2, 3, 4, 4, 3, 3, 3, 3, 4, 4 3.33333333333
+MOP4 en What was that odd note in Nick's voice ? 8 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.88235294118
+MOP4 en Pam and Errol have two children , aged 13 and 16 . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 4, 4 3.88235294118
+MOP4 en What about learning how to change things for the better rather than merely learning to adapt to the way things are now ? 22 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 2, 3, 4, 4, 4, 4, 4, 4 3.77777777778
+MOP4 en ‘ It was thought — everyone assumed — she would marry in her turn , and that would be the end of it . 19 3, 4, 3, 3, 3, 3, 3, 4, 4, 4, 3, 3, 4, 3, 4, 3 3.375
+MOP4 en The personnel manager studied resource management at college and joined the company as a line manager . 16 4, 4, 4, 4, 4, 4, 3, 4, 3, 3, 3, 3, 3, 3 3.5
+MOP4 en Much now depends on how active a role the US is prepared to play to chivvy Israel along to respond to the Egyptian proposals . 24 1, 3, 3, 3, 1, 3, 3, 3, 3, 3, 4, 3, 4, 1 2.71428571429
+MOP4 en ‘ Sometimes I wonder how he passed his 0-levels , ’ Daddy said as we crawled over the cobbles and out of the village . 21 3, 4, 3, 4, 4, 3, 4, 4, 3, 4, 2, 3, 4, 3, 4 3.46666666667
+MOP4 en At the Houses of Parliament , the cry goes up : ‘ Burn it down . ’ 12 1, 3, 4, 3, 3, 3, 3, 3, 4, 3, 2, 1, 1, 3, 4, 2, 3 2.70588235294
+MOP4 en This is more representative of the nature of R&D projects than is the single date often given as the result of a PERT plan . 24 4, 3, 3, 4, 3, 4, 4, 1, 3, 2, 4, 2, 2, 4, 3 3.06666666667
+MOP4 en These involve much more open and distance learning and the creation by photocopying and electrocopying , of ‘ customised ’ packs of materials for students . 22 2, 3, 1, 3, 2, 3, 4, 4, 4, 1, 1, 2, 3, 3, 3 2.6
+MOP4 en It seemed impossible that anyone could survive in the middle of that storm of blades . 15 4, 4, 4, 4, 4, 4, 4, 4, 2, 3, 4, 4, 3, 3, 4 3.66666666667
+MOP4 en When women were given artificial moonlight for three consecutive nights once a month , their cycles became synchronised to the lunar rhythm . 21 4, 4, 4, 4, 4, 3, 4, 4, 4, 3, 1, 4, 4, 4, 3 3.6
+MOP4 en Admittedly , he was not driven by the same devoutly mercenary ambitions of some of his colleagues and sought artistic satisfaction wherever possible . 22 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 2, 4, 4, 4, 4, 4, 4 3.72222222222
+MOP4 en With snow in plentiful supply we have a special section in this issue for those of you who want to get off the piste . 24 3, 3, 3, 4, 4, 2, 4, 3, 3, 4, 4, 2, 3, 3, 2, 3 3.125
+MOP4 en In other words the generalist administrator calls upon the economists , the statisticians , etc. for information but it is the generalist who is ‘ on top ’ . 24 4, 3, 4, 3, 3, 4, 3, 4, 4, 4, 3, 3, 3, 1, 4, 4, 4 3.41176470588
+MOP4 en ‘ Long enough to know my own worth , ’ Gina retorted , irritated by the sardonic gleam in his eyes . 17 2, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 4 3.6875
+MOP4 en You're afraid , both of you , that I might discover Mom isn't dead at all , aren't you ? ’ 16 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 3, 4 3.82352941176
+MOP4 en The SORP recommends the same for local authorities and gives examples of accounting policies to be commented on . 18 1, 4, 3, 4, 4, 4, 4, 3, 3, 3, 4, 4, 3, 4, 3, 4, 3 3.41176470588
+MOP4 en Having decided he must again race the tide , he began a desperate cumbersome run along the edge of the trough towards the breakwater . 23 3, 3, 4, 4, 4, 4, 3, 4, 4, 3, 4, 3, 4, 4, 4, 1 3.5
+MOP4 en The birds could pose a serious health risk for people who eat them in north Africa and southern Europe . 19 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.875
+MOP4 en After a month , the pain began to ease slightly and Lisa was able to get up to her own room with Janet's help . 23 3, 4, 4, 4, 4, 2, 4, 4, 4, 3, 2, 3, 4, 4, 4, 4 3.5625
+MOP4 en These problems , coupled with the Conservative government's free market philosophy , led to a move back towards more market related official rates in the early 1980s . 25 4, 3, 4, 1, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4 3.625
+MOP4 en The goodwill figure in such cases can be derived from the average net profit margin per gallon , multiplied by the daily throughput . 22 2, 4, 4, 4, 3, 3, 4, 4, 4, 4, 3, 3, 3, 3, 2, 2 3.25
+MOP4 en He also had claims to be considered a genuine all-rounder , having played many attacking innings in the lower middle order . 20 4, 4, 3, 4, 3, 3, 3, 2, 3, 3, 2, 3, 3, 3, 3 3.06666666667
+MOP4 en It was a naturally sheltered basin , a trick of the undulating meadows along the Comer . 15 4, 3, 3, 3, 2, 4, 3, 3, 3, 2, 4, 4, 3, 2, 3, 2 3.0
+MOP4 en The course offers basic all round training in communication theory , particularly geared to the African context . 16 4, 4, 4, 4, 4, 4, 3, 4, 3, 3, 4, 4, 4, 4, 3, 4, 4 3.76470588235
+MOP4 en Then , slowly at first , he began to prepare the little boy for this possible destiny . 15 3, 3, 4, 4, 2, 4, 2, 1, 4, 3, 3, 3, 4, 4, 2 3.06666666667
+MOP4 en My German worked like a dream , like a brilliant robot you switch on and stand back and admire as it does all the hard work . 25 3, 3, 4, 4, 3, 4, 4, 4, 3, 4, 2, 4, 4, 3 3.5
+MOP4 en Jess — her blunt nose coming in contact with Samson's hand as she coiled round — bit him . 16 3, 3, 2, 4, 3, 3, 3, 2, 4, 3, 3, 2, 3, 4, 3, 2, 2, 3 2.88888888889
+MOP4 en A good deal gives me the feeling that I have been for a nice seven-day trip to the Bahamas . ’ 19 4, 3, 4, 4, 1, 4, 3, 4, 3, 3, 3, 3, 2, 2, 1, 2 2.875
+MOP4 en It is excellent for skiing since lateral jumping movements can be used , the calves get well stretched and you also develop posture , balance and co-ordination . 25 4, 4, 4, 4, 4, 4, 4, 3, 3, 1, 3, 3, 4 3.46153846154
+MOP4 en The biggest area where the Renault scores is comfort and equipment . 11 4, 4, 3, 3, 4, 4, 3, 4, 3, 3, 3, 3, 3, 4, 3, 4, 3 3.41176470588
+MOP4 en Any earlier wheel-pit on this site could however , either have been demolished and rebuilt , or enlarged to take the new wheel . 21 3, 3, 1, 4, 4, 4, 3, 3, 3, 2, 2, 3, 1, 2, 3, 3, 1 2.64705882353
+MOP4 en Along their flanks are arrays of proprioceptors which in part act like external arteries . 14 3, 4, 1, 4, 4, 4, 4, 2, 3, 4, 4, 3, 2, 4 3.28571428571
+MOP4 en North Harbour coach Brad Meurant said : ‘ Everybody helped their mates . 10 4, 4, 4, 2, 3, 4, 4, 4, 4, 4, 3, 3, 3, 4, 3, 3, 3, 4 3.5
+MOP4 en This year Marks and Spencer has leapt to the top slot , Shell is now second and Glaxo third . 18 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 1, 1, 4, 3, 3, 3 3.375
+MOP4 en Highly explosive eruptions of gas-charged magma originating in the upper mantle produce small , shallow craters called maars . 17 3, 4, 4, 3, 4, 2, 2, 4, 3, 4, 3, 4, 4, 4, 4, 4 3.5
+MOP4 en Risk of change in the expected rate of long-term growth of the economy . 13 4, 2, 3, 3, 4, 3, 4, 4, 1, 4, 2, 3, 4, 3 3.14285714286
+MOP4 en She stood outside the lifts in the hospital's main entrance with other visitors . 13 3, 4, 4, 3, 3, 4, 4, 4, 4, 3, 3, 3, 4, 4, 4, 3 3.5625
+MOP4 en A similar picture emerges in relation to the distribution of gross earnings among female manual workers . 16 4, 4, 4, 4, 4, 3, 4, 3, 3, 3, 4, 4, 4, 3, 4, 4 3.6875
+MOP4 en Solicitors and suitably qualified Fellows of the Institute of Legal Executives . 11 3, 3, 4, 3, 3, 2, 3, 3, 3, 4, 3, 4, 2, 4, 3 3.13333333333
+MOP4 en Such an Order had to be laid before Parliament and was there debated on 6 December 1977 . 17 2, 2, 4, 4, 1, 3, 4, 3, 3, 4, 3, 3, 3, 1 2.85714285714
+MOP4 en ‘ Yes , well , I always thought Augustine was a bit simplistic in his ideas , ’ said William , waspishly , as if he was talking about a rival academic . 25 4, 4, 4, 3, 4, 3, 4, 3, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.76470588235
+MOP4 en The origins of Brazil's export success in military trainers and small civilian aircraft were quite different . 16 4, 3, 3, 3, 3, 2, 3, 4, 4, 4, 4, 3, 3, 4, 3 3.33333333333
+MOP4 en To my officers , it says why should we bother . 9 1, 3, 3, 4, 3, 1, 3, 3, 4, 3, 3, 3, 2, 2, 3, 3, 3, 3 2.77777777778
+MOP4 en Her Royal Highness travelled in an aircraft of The Queen's Flight and was attended by Mrs Harry Cotterell . 18 3, 4, 1, 4, 4, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 3, 3, 4 3.55555555556
+MOP4 en In the last two years of the war I was in orbit visiting every station and squadron in my endless quest for Pathfinders . 23 4, 4, 1, 4, 4, 4, 4, 3, 4, 3, 3, 4, 4, 4, 4, 4 3.625
+MOP4 en The EC does not concern itself with national health or education policies . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4 3.875
+MOP4 en The leader makes all the decisions and issues instructions , expecting them to be obeyed without question . 16 4, 4, 3, 3, 4, 4, 2, 4, 4, 4, 4, 4, 4, 3, 4, 4 3.6875
+MOP4 en Our investigative researchers ventured into the centre of London to find out if High Street shops are dog-friendly and if they're not , why not ? 24 2, 4, 4, 4, 4, 3, 3, 3, 3, 4, 4, 3, 4, 4, 3, 4 3.5
+MOP4 en Now I understand why they paid Macaulay Culkin $3 million — he earned it . 12 3, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4 3.82352941176
+MOP4 en It is to such character string formats that we now turn . 11 3, 4, 3, 3, 4, 4, 1, 3, 4, 3, 1, 3, 3, 4, 4 3.13333333333
+MOP4 en ‘ He has been with me too , Brother , ’ Tundrish replied simply . 10 4, 3, 4, 4, 1, 3, 3, 3, 3, 3, 3, 4, 3 3.15384615385
+MOP4 en He had registered with warm approval the tears of Antiochus III , when the rebel Achaeus was brought to him "" bound hand and foot "" ( 8.20.9 ) . 24 3, 1, 1, 4, 2, 2, 2, 3, 3, 3, 4, 4, 3, 3, 3 2.73333333333
+MOP4 en Of 18 patients who were alive at short term follow up ( mean ( range ) 19.4 ( 10–33 ) months ) , 14 were still alive in 1992 ( 69 ( 61–83 ) months ) . 25 3, 2, 1, 4, 2, 4, 1, 2, 3, 4, 2, 2, 3, 4, 2, 1 2.5
+MOP4 en The second approach can be a very productive strategy in a foreign language too . 14 3, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 3, 4, 4 3.76470588235
+MOP4 en He took the gun and went to the door , checking that the horse and cart were still safely tethered . 19 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 2, 4, 4, 4, 4, 4, 4 3.82352941176
+MOP4 en I did not know how many species of trees there were , maybe more than 1,000 . 15 4, 4, 3, 4, 4, 3, 1, 4, 4, 3, 2, 4, 3, 3, 3 3.26666666667
+MOP4 en Front sash window , original fireplace , built in single wardrobes , radiator , power points , stripped wooden floors . 15 3, 4, 3, 3, 4, 3, 3, 4, 3, 4, 3, 3, 3 3.30769230769
+MOP4 en The global level of HIV infection was expected to rise to 15-20,000,000 by 2000 , of which at least three-quarters would be in the developing world . 25 2, 3, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4 3.6875
+MOP4 en The result has been to destroy much of the progress in health care over the years preceding each dispute . 19 2, 4, 3, 4, 3, 4, 3, 3, 3, 3, 4, 4, 3, 3, 3, 3 3.25
+MOP4 en Woil's escape was over , and it had all taken less than a minute and a half . 16 3, 4, 4, 4, 4, 4, 3, 2, 4, 3, 4, 3, 4, 4, 4, 4, 3 3.58823529412
+MOP4 en Laughter gleamed in his eyes as he met her belligerent stare . 11 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 2, 4, 4, 4 3.8
+MOP4 en They were only minutes from the railway station , the service was frequent . 12 3, 3, 2, 3, 3, 4, 3, 3, 3, 3, 3, 4, 3, 2, 4, 3, 3 3.05882352941
+MOP4 en Perhaps most significantly of all , three of boxing's all-time greats — Ali , Robinson and Armstrong — were born into comfortable circumstances . 19 4, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 1 3.66666666667
+MOP4 en The Halifax Building Society , where the bombers had placed their device , is now a heap of rubble . 17 4, 4, 4, 4, 3, 4, 4, 2, 4, 4, 4, 4, 4, 4 3.78571428571
+MOP4 en There's no other catalogue quite like the OXFAM Christmas catalogue . 10 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 3 3.8125
+MOP4 en ‘ Unless there are more resources pumped in , this is going to happen , ’ she said . 14 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.84210526316
+MOP4 en It was a way of thinking and behaving . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 4, 4, 4, 3, 4, 4, 4, 4 3.83333333333
+MOP4 en ‘ Yes , ’ she said briefly , and for a few moments they studied each other . 13 3, 4, 4, 4, 4, 4, 4, 4, 3, 3, 3, 4, 4, 4, 4, 3 3.6875
+MOP4 en On a slow surface , both sets of bowlers bowled straight , and the batsmen were loath to take risks to break up their line . 23 1, 3, 3, 3, 3, 3, 4, 2, 2, 2, 2, 4, 3, 1, 4, 3 2.6875
+MOP4 en The parts of the statute are arranged in three groups . 10 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 3, 4, 3, 4, 4, 4, 4, 4 3.77777777778
+MOP4 en Strangely , his only international appearance was for the English against the Scottish League in 1914 . 15 2, 4, 3, 4, 3, 4, 4, 3, 3, 4, 3, 4, 2, 4, 4, 4 3.4375
+MOP4 en It's Saturday night and they may not come . 8 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.92857142857
+MOP4 en Throughout the discussions information provided by the other sites is kept confidential . 12 1, 3, 3, 4, 4, 4, 4, 4, 3, 2, 4, 3, 4, 3, 3, 3 3.25
+MOP4 en In a number of instances reminders were required ( both written and by telephone ) . 13 4, 4, 4, 3, 1, 4, 3, 4, 4, 4, 2, 4, 3, 4, 4, 4, 3, 4 3.5
+MOP4 en As Montagu ( 1976 ) has stated again and again , the social activity of war need have no relationship with the inner state of aggression . 23 4, 4, 2, 4, 2, 3, 4, 4, 3, 4, 4, 4, 2 3.38461538462
+MOP4 en That , then , is the theory — but how does it work out in practice ? 13 3, 3, 4, 3, 3, 4, 3, 4, 3, 3, 3, 4, 3, 4, 4 3.4
+MOP4 en However , things can look rather different from the angle of those just above the exemption limit . 16 4, 4, 4, 2, 4, 2, 3, 3, 4, 2, 3, 4, 4, 2, 4, 4, 3 3.29411764706
+MOP4 en Repeating what they hear , women on the right claim that something called "" Salvadorean democracy "" is in danger . 17 3, 4, 3, 4, 4, 2, 3, 4, 3, 4, 3, 4, 4, 4, 3, 4 3.5
+MOP4 en Table I summarises the clinical features of these patients . 9 4, 4, 4, 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4 3.85714285714
+MOP4 en Further information from S. S. Langer , RSC , Burlington House , Piccadilly , London W1V 0BN . 13 2, 2, 3, 2, 2, 1, 4, 1, 4, 3, 2, 4, 3, 1, 3, 3, 2 2.47058823529
+MOP4 en The Jarisch-Herxheimer reaction , usually shortened to the ‘ Herxheimer ’ reaction , follows the initial dose of treatment of syphilis in a proportion of cases . 22 4, 4, 3, 4, 4, 4, 4, 3, 4, 3, 3, 4, 3, 4, 4 3.66666666667
+MOP4 en Ideally this will not be necessary if those who send them have a vision for and support the work financially . 20 3, 4, 4, 4, 4, 2, 2, 2, 4, 4, 3, 4, 4, 2, 3 3.26666666667
+MOP4 en Looking around the room , at the old , worn furniture , I realized that Herbert must be very poor . 17 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.88235294118
+MOP4 en They will be joined by John Tierney and John Kerr . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4 3.94117647059
+MOP4 en Yet the trophy sits in Jim's office at Peel Park and will stay there . 14 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4 3.82352941176
+MOP4 en Homology searches of the Leeds and Swiss protein data bases failed to detect any significant similarity with any other protein . 20 2, 3, 3, 4, 4, 4, 4, 2, 2, 3, 4, 4, 3, 3, 4, 4 3.3125
+MOP4 en ‘ It could have something to do with Angy's murder . 9 3, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4 3.73333333333
+MOP4 en Ranchers , who see themselves as the guardians of the west , say that grazing generates economic stability and feeds the nation . 20 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.9375
+MOP4 en This man was buried here in the fourth century . 9 4, 4, 4, 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4 3.875
+MOP4 en They start to question , and they start to dream . ’ 9 3, 4, 4, 3, 3, 4, 4, 4, 3, 2, 4, 4 3.5
+MOP4 en A water softener works on the principle of ‘ ion exchange ’ . 10 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4 3.875
+MOP4 en Steve Jones ( he speaks specifically about Jones' zealous christianity ) : "" A lot of people are simply uncomfortable with some people's "" over-religiosity "" or whatever you call it . 25 3, 3, 2, 3, 3, 3, 3, 3, 4, 2, 2, 3, 4, 3, 3, 4 3.0
+MOP4 en He looked up at Athelstan , his face beaming with pride . 10 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4 3.85714285714
+MOP4 en We want to give the children positive memories which they can draw on during the difficult times at home to build a better country . 24 4, 4, 4, 4, 4, 3, 4, 3, 4, 3, 3, 4, 4, 3, 4 3.66666666667
+MOP4 en ‘ The PLO tried to sabotage the departure of the Muslims . 10 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4 3.85714285714
+MOP4 en MOTOROLA GETS THE GLOVES OFF IN BATTLE WITH ITS OLD RIVAL , PRICES POWERPC PRICED TO BEAT PENTIUM 17 2, 3, 1, 2, 3, 3, 3, 2, 4, 3, 3, 2, 3 2.61538461538
+MOP4 en Mutalibov told Izvestiya , from his hiding place in Russia , that the charges were political persecution . 15 3, 4, 3, 4, 3, 4, 3, 3, 2, 4, 4, 4, 4 3.46153846154
+MOP4 en My proposition , I assure you , would be to our mutual benefit . ’ 11 3, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 3 3.71428571429
+MOP4 en Only in John's Gospel does he make one curious and profoundly interesting statement . 13 4, 3, 3, 3, 3, 3, 4, 4, 3, 3, 3, 2, 4, 4 3.28571428571
+MOP4 en They were returning from a day's repair and construction work at an army base in Omagh . 16 3, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3, 4, 3, 3, 3, 4, 4, 3 3.61111111111
+MOP4 en Inside the top hotels all is First World ordered calm : state-of-the-art swimming pools , satellite television and chocolates on the pillow at night . 22 3, 1, 2, 2, 4, 1, 3, 3, 4, 3, 2, 2, 2, 4, 4, 2 2.625
+MOP4 en It seems strange to extend the hand of friendship and economic co-operation to the same countries that we are threatening with mass extermination . 23 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.94117647059
+MOP4 en The buildings were transformed rather successfully into a gallery for Bohemian art by František Cubr and Josef Pilar , in the 1960s . 21 4, 4, 3, 3, 4, 3, 2, 3, 4, 4, 4, 4, 4, 4, 3, 4 3.5625
+MOP4 en But the other part cried out against the mere idea of her being someone else's wife . 16 4, 3, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 3 3.71428571429
+MOP4 en These problems or investigations are expected to be diverse . 9 3, 3, 4, 4, 4, 4, 3, 4, 3, 4, 3, 4, 4, 3 3.57142857143
+MOP4 en Between August 1975 and December 1978 the COS-B satellite observed 2CG342–02 on five occasions and catalogued it as the tenth-strongest γ -ray source . 21 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 3, 4, 4, 4, 4, 4 3.82352941176
+MOP4 en Not like a Saturday night at all though , not really . ’ 10 2, 4, 3, 4, 3, 3, 2, 4, 4, 3, 3, 3, 3, 4 3.21428571429
+MOP4 en Hopeful for what he will not miss when it fails 10 3, 2, 1, 3, 1, 2, 2, 1, 3, 1, 2, 2, 3, 2, 3 2.06666666667
+MOP4 en And what would you have done if Schemichal got hold of you and threw you off the pitch like last night ? 21 1, 2, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 3 3.46666666667
+MOP4 en I should add that in argument he also invited my attention to paragraph 5(7) and I will refer to that : 20 3, 1, 3, 1, 2, 4, 2, 1, 4, 3, 4, 3, 3, 3, 3 2.66666666667
+MOP4 en Once I was pleased with the bottom group I copied it , as a mirror image , at the top of the picture . 21 2, 4, 4, 3, 3, 3, 3, 3, 4, 3, 4, 3, 4, 4, 3, 3, 3 3.29411764706
+MOP4 en From then , the path to the double helix was clear . 10 3, 4, 4, 3, 3, 3, 4, 4, 3, 2, 4, 3, 4, 3, 3, 4, 4 3.41176470588
+MOP4 en Sun is also preparing its Scorpion eight-way Sparc desktop machine for launch at the SunWorld show on May 11 . 19 3, 4, 4, 3, 4, 3, 4, 3, 4, 3, 3, 3, 4, 4, 1, 3, 4 3.35294117647
+MOP4 en Therefore political and economic accounting of the costs and benefits of soil conservation programmes for others outside the directly affected areas is potentially relevant . 24 3, 3, 3, 4, 3, 1, 4, 3, 4, 3, 4, 1, 4, 3, 4, 4, 4 3.23529411765
+MOP4 en Does he further agree that there is a need to reopen neighbourhood police stations and to put more emphasis on community policing ? 22 3, 4, 4, 4, 3, 3, 3, 4, 3, 3, 4, 4, 1, 4, 4, 4, 4 3.47058823529
+MOP4 en A fortnight later Edward sealed the text and issued it to all sheriffs . 13 3, 3, 3, 4, 4, 4, 4, 1, 4, 3, 4, 4, 3, 3 3.35714285714
+MOP4 en Since then , it has been as keenly followed as many full-length TV programmes . 13 4, 3, 1, 3, 4, 3, 3, 3, 3, 3, 2, 4, 4, 3, 3 3.06666666667
+MOP4 en Questionnaires sent by post are not returned and interviews are refused . 11 2, 4, 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.76470588235
+MOP4 en The operation will eventually involve more than 35,000 troops from at least nine countries . 14 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 en UI will no longer be just a requirements body or a marketing arm for USL . 15 4, 4, 4, 4, 2, 3, 3, 2, 2, 4, 2, 1, 4, 4, 3, 3 3.0625
+MOP4 en Before explaining how to tackle a course race it is worth looking at what makes one sailor go faster than another . 21 4, 4, 4, 4, 4, 4, 3, 2, 3, 1, 4, 4, 2, 3, 3, 4, 4, 3 3.33333333333
+MOP4 en Only there was nowhere else she could go . 8 3, 4, 3, 4, 4, 4, 4, 3, 4, 2, 3, 3, 4, 4, 4, 3, 4, 4 3.55555555556
+MOP4 en Though his features looked as if they'd been carved from stone , in the depths of his gaze something stirred . 19 4, 3, 3, 3, 4, 3, 3, 4, 4, 4, 4, 4, 4, 3, 4, 4 3.625
+MOP4 en On both topics , however , the status quo has changed radically compared to 1979 . 13 4, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.875
+MOP4 en These percentages were not uniform across the country : local specialities dictated what was available . 14 4, 2, 3, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.72222222222
+MOP4 en ‘ I can't hear anything , ’ said the chaplain angrily . 8 4, 4, 3, 4, 3, 2, 3, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4 3.66666666667
+MOP4 en ‘ We may never know the exact number of deaths . 9 4, 3, 4, 3, 4, 4, 2, 4, 4, 2, 4, 4, 4, 4, 4, 4 3.625
+MOP4 en These were rejected on April 17 and 18 respectively . 9 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.92307692308
+MOP4 en Women , Art and Society is a synthesis of work that has been progressing for twenty years about women and the visual arts . 22 4, 4, 4, 4, 3, 4, 4, 3, 3, 4, 2, 3, 2, 4, 3, 4 3.4375
+MOP4 en At his own expense he established no less than twenty-two charity schools in Pembrokeshire alone . 15 4, 4, 4, 4, 2, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP4 en Soil deformation during a quake could bend pipelines as though they were strands of copper wire . 16 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4 3.86666666667
+MOP4 en Within a few days of his election he already knew that the way to realize this ‘ new Pentecost ’ was an Ecumenical Council . 22 3, 4, 3, 4, 3, 4, 3, 4, 4, 4, 1, 4, 3, 4 3.42857142857
+MOP4 en To follow Jesus as his disciples means that we too face opposition to living like him . 16 4, 3, 4, 3, 3, 3, 3, 4, 3, 4, 3, 4, 2, 4, 2 3.26666666667
+MOP4 en His wheels ran into the wet turf and the whole machine crumpled and fell to its knees like an animal shot in the chest . 24 3, 1, 4, 4, 4, 3, 4, 4, 3, 3, 4, 4, 4, 3 3.42857142857
+MOP4 en Jenna stopped and faced him angrily , but before she could speak he tilted her face with a strong brown hand . 20 4, 4, 4, 3, 3, 2, 3, 3, 4, 3, 4, 2, 3, 1, 4 3.13333333333
+MOP4 en Next day one of 252 Squadron's newly-arrived Beaufighters ( T3237 ) was mistaken for a Ju88 while on a local flight . 19 1, 4, 1, 3, 4, 3, 2, 2, 3, 3, 3, 3, 3 2.69230769231
+MOP4 en Carrington watched the sea for the first two hours , enchanted by the Scandinavian night , then went to sleep . 18 4, 4, 4, 4, 4, 4, 4, 3, 2, 4, 4, 4, 4, 3, 4, 4 3.75
+MOP4 en It was originally recorded as a cot death and there was no inquest but there will now be an inquest . 20 1, 2, 4, 4, 4, 4, 3, 3, 3, 3, 4, 4, 3, 4, 4 3.33333333333
+MOP4 en The pictorial composition of your shots is one of those areas where rules have grown up which , though seemingly arbitrary , actually work well in practice . 25 4, 4, 3, 1, 4, 4, 4, 3, 3, 3, 3, 4, 3, 3, 4 3.33333333333
+MOP4 en It was a far cry from the golden court of the City of the Horizon . ’ 15 3, 4, 4, 3, 2, 4, 4, 4, 3, 4, 2, 3, 4, 3, 4, 4, 4 3.47058823529
+MOP4 en ‘ Political in the sense that if I threw this glass of water over you in an interview , that would be a political act . 23 4, 3, 4, 2, 3, 2, 4, 2, 2, 3, 3, 3, 4, 4, 4 3.13333333333
+MOP4 en ‘ So you're going solo now , ’ said the victim , fumbling for her smokes again . 13 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.86666666667
+MOP4 en Here are ten assorted uses for this book ; 8 4, 3, 4, 4, 3, 4, 4, 4, 4, 3, 4, 3, 4, 4, 2, 3 3.5625
+MOP4 en ‘ Still in deep , old Michael , I should imagine . 8 1, 2, 2, 2, 2, 3, 1, 1, 3, 3, 2, 1, 4, 4, 2 2.2
+MOP4 en One sports injury on the increase is sportsman's , or Gilmore's groin which occurs when tendons in the groin tear due to excessive stretching and twisting . 25 4, 3, 1, 1, 4, 4, 2, 4, 4, 4, 2, 2, 4, 4, 1, 3, 3 2.94117647059
+MOP4 en The main difference between sections 18 and 20 lies in the fault element , and it is a considerable difference . 19 4, 4, 3, 4, 3, 4, 2, 4, 1, 4, 4, 3, 4, 4, 4, 4, 3, 3 3.44444444444
+MOP4 en Ideal for a small flat , the washer/dryer is as sophisticated as the one in the main house's utility room . 19 2, 3, 4, 4, 4, 4, 4, 4, 3, 3, 4, 3, 2, 4, 4, 2 3.375
+MOP4 en Robbie saw now that he was a clergyman . 8 2, 2, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 3, 3 3.5
+MOP4 en The deputy chairman of the council of ministers , Boris Shcherbina , forbade evacuation of the countryside around Chernobyl until a government commission had arrived from Moscow . 25 3, 3, 4, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 4, 4, 1 3.58823529412
+MOP4 en The weekend was associated with an increase in volatility , in accordance with expectations . 13 4, 4, 3, 4, 4, 3, 3, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3 3.70588235294
+MOP4 en All she had to do was get a good night's sleep . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3 3.88888888889
+MOP4 en A TOWN farm is ploughing ahead with fundraising schemes to help handicapped people and plans to roof in a riding area for the disabled . 24 1, 4, 4, 4, 4, 4, 3, 3, 4, 2, 4, 3, 2, 4, 4, 2, 1 3.11764705882
+MOP4 en ‘ All credit to Gavin gave me the ball in the end , with a little persuasion . 15 2, 1, 2, 1, 2, 1, 3, 4, 3, 2, 1, 1 1.91666666667
+MOP4 en The first drafts of The Prelude were written in Germany during the winter of 1798–9 . 15 4, 4, 3, 4, 4, 4, 2, 4, 4, 3, 4, 4, 4, 3, 4, 4 3.6875
+MOP4 en Soldiers will no longer be given free cigarettes . 8 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.75
+MOP4 en They came to the kind of unspoken understanding real twins enjoy . 11 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 2, 4, 4, 3, 3, 3, 4 3.58823529412
+MOP4 en ‘ Harbury's the crime man , ’ said a voice , ‘ what's his opinion ? ’ 10 4, 3, 4, 4, 2, 4, 4, 2, 3, 3, 3, 3, 2 3.15384615385
+MOP4 en Dustin's neat Beatle cut is slightly tousled and there is a close-up of a mole on his right shoulder . 19 4, 3, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 3, 4 3.75
+MOP4 en By the late 1940s there was a wider range of prepackaged grocery lines available , and improvements had been made in the quality of packaging . 24 4, 4, 4, 4, 4, 4, 4, 3, 4, 3, 2, 1, 4, 4, 3, 4, 4 3.52941176471
+MOP4 en After the starkly factual ‘ Headpiece filled with straw ’ comes that most absurdly poetic word of all , indicating the speaker's weakness . 20 3, 3, 3, 1, 3, 1, 2, 3, 3, 1, 4, 2, 3, 3, 3 2.53333333333
+MOP4 en ‘ I thought it was some weirdo and when I asked who was calling the voice yelled : ‘ It's me ! ’ 18 3, 3, 4, 2, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4 3.625
+MOP4 en ‘ I shouldn't , ’ the attendant said , but then smiled broadly . 9 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.76470588235
+MOP4 en ‘ Well , it's not a bad idea , is it ? 8 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 3, 4 3.83333333333
+MOP4 en The beauty of glass , he wrote , is this , that the surface does not have to be covered . 17 3, 3, 2, 4, 4, 4, 4, 4, 3, 3, 3, 3, 3, 4, 3 3.33333333333
+MOP4 en The Cougar mould was last used about 8 years ago and is past its best ; he suggests the Mirage is similar to the Cougar . 24 3, 3, 4, 4, 4, 4, 2, 3, 1, 2, 2, 2, 3, 4, 3, 3, 4 3.0
+MOP4 en ‘ I'd better have a word , ’ said the Brigadier , withdrawing his head and opening the door . 15 4, 4, 2, 4, 3, 4, 4, 1, 3, 3, 3, 4, 4, 4, 4 3.4
+MOP4 en Some slogans and ideas from the ‘ Democracy Wall Movement ’ of 1978–79 received another brief hearing during these days . 18 3, 4, 4, 4, 4, 3, 3, 2, 3, 4, 4, 3, 2, 4, 4, 4 3.4375
+MOP4 en The Metropolitan Police settled in the High Court the damages claim of cameraman Mr Anthony Walsh , whose spine was injured during the Wapping dispute . 24 2, 4, 4, 4, 2, 3, 4, 2, 3, 4, 4, 2, 3, 3, 4 3.2
+MOP4 en ‘ If I get another couple of shillings out of it , haven't I earned them ? 14 4, 4, 3, 4, 4, 4, 1, 3, 2, 3, 4, 4, 4, 4, 3, 3, 4 3.41176470588
+MOP4 en ‘ We have a tail already locked on to Tweed . 9 4, 3, 2, 3, 3, 3, 3, 3, 3, 1, 2, 3, 2, 4 2.78571428571
+MOP4 en He turned , stiff and cold , to see an anxious young man , blond cropped hair , worried eyes and pock-marked face . 19 3, 4, 3, 3, 1, 3, 4, 4, 3, 3, 4, 2, 4, 3, 4, 4 3.25
+MOP4 en A durable well constructed store is therefore indicated . 8 4, 3, 3, 3, 4, 4, 3, 3, 4, 4, 3, 4, 3, 2, 3, 3 3.3125
+MOP4 en Fill gaps , identify queries and note points for immediate follow up . 11 3, 3, 1, 3, 4, 4, 4, 4, 4, 3, 3, 2, 4, 4, 3, 3, 4 3.29411764706
+MOP4 en And he blows the smoke back into my mouth . 9 4, 4, 4, 3, 4, 3, 3, 4, 3, 3, 4, 2, 3, 4, 4, 3, 3 3.41176470588
+MOP4 en The genetic spray was described as a very exciting development by another of the team's scientists , Dr Julia Dorin . 19 4, 4, 4, 4, 3, 4, 3, 3, 4, 3, 3, 4, 4, 4, 2 3.53333333333
+MOP4 en The old Highways Yard in Rigby Road with its railway connection , seemed to offer an ideal site . 17 4, 4, 3, 4, 3, 3, 4, 3, 3, 2, 4, 3, 4, 3, 3, 4, 4 3.41176470588
+MOP4 en Jodami and Rushing Wild jumped the last together , and Jodami found the vital extra gear to edge away . 18 3, 4, 3, 3, 1, 2, 4, 2, 2, 3, 4, 1, 3, 4, 2, 3, 4 2.82352941176
+MOP4 en Is it possible to see private affluence co-existing with corporate poverty ? 11 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 4, 4, 4 3.82352941176
+MOP4 en One of Jay's drawled phrases , as she pubbed and clubbed and waded through hung-over mornings of coffee and endless cigarettes , was ‘ I'm a night-owl , honey . ’ 25 3, 1, 4, 3, 4, 4, 4, 4, 4, 1, 2, 3, 1, 3 2.92857142857
+MOP4 en Villagers fight to block sale of ancient common 8 3, 2, 4, 4, 3, 1, 3, 4, 4, 3, 3, 3, 3 3.07692307692
+MOP4 en There are various ways in which a recovery can be obtained : — 11 2, 4, 4, 4, 4, 4, 4, 4, 3, 3, 3, 4, 4, 4, 4 3.66666666667
+MOP4 en ‘ By the road , it seems a long way , but I need only to walk a kilometre across the fields beyond the farm . 22 3, 1, 4, 4, 4, 4, 3, 4, 4, 4, 3, 4, 3, 4, 3, 4 3.5
+MOP4 en And Notes from Underground is precisely such a fable of disembodied consciousness . 12 2, 4, 3, 4, 2, 3, 1, 3, 1, 1, 4, 4, 2, 3, 2, 3, 3 2.64705882353
+MOP4 en We got our film crew and sat Robin down in front of our rushes . 14 3, 4, 4, 4, 3, 3, 2, 4, 3, 3, 2, 4, 2, 3, 3 3.13333333333
+MOP4 en Conservative candidate Robert Goodwill , has written to Labour's Marjorie Mowlam asking her to clarify her personal position on the nuclear defence capability of the country . 25 2, 4, 3, 3, 3, 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4 3.5625
+MOP4 en The Arab masses , indignant at the western humiliation of Saddam Hussein , were expected to rise up against their pro-western leaders . 20 3, 4, 4, 2, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3, 3, 4, 4 3.64705882353
+MOP4 en SOME of America's most powerful men are worried sick after the theft of an address book belonging to New York's most notorious madam . 23 4, 4, 4, 2, 4, 4, 4, 2, 4, 3, 4, 4, 3, 4 3.57142857143
+MOP4 en Neil Cossons , the director of the Science Museum , is confident the old numbers can be restored . 16 4, 4, 4, 3, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4 3.8
+MOP4 en However , students taking resit examinations for exceptional reasons , such as an examination missed through illness , are usually allowed to count the full marks earned . 24 2, 4, 4, 3, 3, 3, 3, 2, 2, 3, 4, 2, 3, 4, 4 3.06666666667
+MOP4 en It would be a good exercise to compare this electrical system with the purely acoustic string telephone in Part 1 ( November , 1991 issue ) . 23 3, 3, 2, 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 3, 4, 4 3.58823529412
+MOP4 en AID TRIP GIVES PUPILS A LESSON IN THIRD WORLD POVERTY AND FEAR 12 4, 3, 4, 4, 4, 4, 3, 4, 2, 2, 3, 4, 3, 3, 4, 2, 4 3.35294117647
+MOP4 en She noticed his fingers were trembling , and her anger faded , replaced instead by a wild and optimistic hope . 18 3, 4, 4, 3, 4, 4, 1, 1, 3, 4, 4, 3, 4, 3, 3, 4, 4 3.29411764706
+MOP4 en In the jargon of quantum mechanics , this choice of behaviour is called the statistics obeyed by the particle . 18 3, 3, 4, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4 3.61538461538
+MOP4 en You can format your spreadsheet manually , or design your own speedformat routine . 12 3, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3, 3, 4 3.75
+MOP4 en He came to an arrangement with two more actors , gave the camera crews some private pocket money and turned the film over to his assistants . 25 4, 4, 4, 4, 4, 4, 1, 3, 4, 3, 4, 3, 4, 4, 4, 4, 4, 4 3.66666666667
+MOP4 en CELIA ALMOST WELCOMED the idea of going to work . 9 3, 4, 4, 4, 4, 4, 4, 4, 1, 3, 4, 3, 3, 4, 3, 4, 4 3.52941176471
+MOP4 en I can only suppose that my name had respectable associations , and he thought it might allay criticism in what might be called Athenaeum circles . 24 3, 4, 3, 2, 1, 3, 4, 3, 3, 2, 3, 2, 3, 1, 4 2.73333333333
+MOP4 en ‘ Earth to earth , ashes to ashes , dust to dust … ’ 9 4, 3, 4, 4, 4, 4, 4, 3, 4, 3, 4, 3, 4, 3, 4, 4, 4 3.70588235294
+MOP4 en ‘ It so happened that No 5 Air School was not far away from the mine where Churchill hid during the Boer War , ’ Clifford recalls . 24 4, 4, 3, 3, 4, 4, 4, 4, 3, 3, 4, 4, 3, 4, 4, 2, 4, 3 3.55555555556
+MOP4 en I enjoy working things out with numbers , e.g. how much wallpaper or carpet I need to buy 17 4, 4, 4, 3, 3, 4, 3, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.70588235294
+MOP4 en Not only will the test be easier in the future , but it should also be cheaper too . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4 3.86666666667
+MOP4 en I then turned the picture round and completed the other two sides . 12 4, 4, 4, 4, 3, 4, 4, 3, 4, 3, 2, 3, 3, 4, 3, 2, 3 3.35294117647
+MOP4 en If so , could they share the knowledge with us ? 9 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 3, 4, 4, 4 3.83333333333
+MOP4 en U2 LAST night unveiled their stunning new video Interference at a spectacular bash at London's Planetarium … 16 3, 2, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.625
+MOP4 en But Mr. Leggatt hoped that the lack of space for burials would not lead to restrictions in the future . 19 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 3, 4, 4, 4 3.8125
+MOP4 en My social worker who gave me advice asked if I wanted adoption or fostering , and I said fostering ( it was a white family ) . 23 3, 4, 3, 3, 4, 3, 3, 3, 4, 4, 4, 3, 3, 4, 4 3.46666666667
+MOP4 en The results clearly show a high prevalence of oesophagitis in the adult asthmatic population . 14 4, 4, 4, 4, 4, 4, 3, 4, 4, 2, 4, 4, 4, 4, 3, 4, 4 3.76470588235
+MOP4 en For this reason it was really only suited to the manufacture of plywood , for which it was immensely successful . 19 4, 4, 4, 3, 3, 4, 4, 2, 4, 3, 4, 4, 4, 3, 4, 4 3.625
+MOP4 en But I guess they have got something to point to if they've built good roads and railways and so on . 20 4, 4, 4, 3, 4, 4, 3, 3, 4, 2, 4, 3, 4, 4, 4, 4 3.625
+MOP4 en ‘ Can you name the disciples ? ’ asked one journalist . 8 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4 3.85714285714
+MOP4 en Tom-Frode , Odd-Knut and Tony wait for us to arrive . 9 4, 3, 2, 4, 3, 3, 3, 4, 3, 1, 3, 3, 3, 4, 3, 4 3.125
+MOP4 en The white lines show the body's electric force which energy-giving crystals can tune into 14 2, 4, 4, 3, 4, 3, 3, 3, 4, 2, 3, 4, 4, 3, 4 3.33333333333
+MOP4 en One of the American networks wants to do a television interview . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 3, 4, 4, 4 3.82352941176
+MOP4 en Guinness provides financial support to organisations engaged in medical research , health , youth , environment and conservation , employment and enterprise trusts , education and the arts . 23 3, 4, 3, 4, 3, 2, 4, 4, 4, 3, 4, 3, 2, 4, 3, 3, 4, 4 3.38888888889
+MOP4 en A gang of Muslim extremists believed her story , and the results were dire . 13 4, 4, 4, 3, 3, 4, 4, 3, 4, 3, 4, 4, 4, 4, 4, 3 3.6875
+MOP4 en The rain which would turn their campground to mud , and fill the cisterns of Famagusta . 15 3, 4, 4, 4, 4, 2, 3, 2, 3, 2, 3, 3, 4, 3, 3, 3 3.125
+MOP4 en Questions can be asked by The Speaker ( see below ) or the player who has just thrown ( or would have just thrown ) 21 4, 4, 3, 3, 4, 4, 4, 4, 3, 4, 2, 2, 2, 4, 3, 4, 2 3.29411764706
+MOP4 en The second limiting factor was less immediate , but of greater potential impact . 12 4, 4, 4, 4, 4, 4, 4, 4, 2, 3, 4, 4, 4, 4 3.78571428571
+MOP4 en Once the nest is completed , the male sets off in search of a female . 14 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3, 4 3.86666666667
+MOP4 en of them revealed that they had been the victims of marital rape . 12 3, 2, 1, 2, 3, 1, 3, 2, 3, 3, 1, 2, 3, 1, 2 2.13333333333
+MOP4 en The government has plans to reverse the process by reforestation and investment in projects of sustained development . 17 3, 4, 4, 3, 4, 3, 3, 4, 4, 4, 2, 4, 3, 4, 4, 4, 4 3.58823529412
+MOP4 en He does not deign to compare the British and the French railways . 12 4, 4, 3, 3, 4, 4, 4, 4, 3, 3, 4, 4, 4, 3, 4, 3, 4 3.64705882353
+MOP4 en Lay the child on his back , turn his head and remove any debris in his mouth with your finger . 19 3, 4, 4, 4, 4, 1, 4, 4, 3, 4, 4, 4, 4, 4 3.64285714286
+MOP4 en Strach may be 37 , but who gives a shit really ? 10 4, 2, 4, 4, 3, 4, 4, 3, 3, 3, 3, 4, 4, 4 3.5
+MOP4 en In return , the Church cut a somewhat uncertain figure . 9 3, 3, 3, 4, 4, 3, 3, 4, 4, 4, 3, 3, 4, 4, 4, 4 3.5625
+MOP4 en However it is almost certain that the offer will be rejected . 11 4, 4, 4, 3, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP4 en Mr Stolpe said East Germans had recently discovered their power , and Mr Krenz had not succeeded in restoring the leadership's credibility . 21 3, 4, 4, 3, 4, 3, 4, 2, 4, 4, 2, 3, 4, 4, 4 3.46666666667
+MOP4 en Smiling , Harry put the letter back in its envelope . 9 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.94117647059
+MOP4 en Leicestershire is the only county to account for its distributions from the TCCB on a cash as opposed to an accruals basis . 22 3, 3, 4, 4, 3, 3, 4, 4, 3, 4, 4, 3, 2, 4 3.42857142857
+MOP4 en It'll look great on the beach , as an evening top under a pretty blouse or under a jacket for work . 20 3, 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4 3.73333333333
+MOP4 en They also read representative works in traditional and modern Chinese history , literature , philosophy and religion . 15 4, 4, 4, 4, 3, 2, 4, 4, 4, 4, 4, 4 3.75
+MOP4 en If you'd prefer a sleek , brass finish , the Brass Dream fire by Valor is a good choice and costs about £399 . 20 4, 4, 4, 3, 4, 3, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.76470588235
+MOP4 en ‘ If you did that , then it is just about the greatest miracle a person has ever performed since the time of Jesus . ’ 22 4, 4, 4, 4, 3, 4, 3, 4, 4, 3, 3, 3, 4 3.61538461538
+MOP4 en She kicked something in the gloom , and stopped briefly to pick it up . 13 3, 4, 3, 3, 3, 3, 4, 3, 3, 3, 3, 4 3.25
+MOP4 en ‘ I'm just back from India , ’ he announced importantly . 8 4, 4, 3, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 4 3.78571428571
+MOP4 en It is the sort of place where you find a different object of interest every time you go back . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 en McLaren keeps his own counsel , being as reticent as Ferguson is gregarious . 12 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 2, 4, 4, 3, 3, 4 3.625
+MOP4 en She'd made one final attempt on the Archdeacon before departing . 10 3, 3, 4, 4, 3, 4, 4, 4, 2, 4, 3, 3, 2, 2, 3, 2 3.125
+MOP4 en Air show : The famous Red Arrows are to provide a grand finish to the Southport Air Show . 17 4, 4, 3, 4, 4, 3, 4, 4, 3, 4, 2, 4, 4, 4, 4 3.66666666667
+MOP4 en Add the grated orange rind and juice , eggs , sugar , cornflour and ginger . 12 4, 3, 3, 3, 4, 3, 4, 4, 4, 3, 3, 3, 4, 4, 4 3.53333333333
+MOP4 en A path led up from where they stood , its stone flags worn and broken , its progress hidden here and there by moss and weed . 24 3, 4, 4, 3, 4, 4, 4, 2, 4, 4, 3, 4, 3, 4, 4 3.6
+MOP4 en If there's a younger referee than me it'll prove that someone has got real guts . 15 3, 4, 3, 4, 4, 4, 4, 3, 3, 3, 3, 4, 4, 4, 4, 3 3.5625
+MOP4 en The mannikin ran in front of Cranston , jumping up and down . 11 3, 4, 3, 3, 4, 3, 4, 3, 4, 3, 3, 4, 2, 4, 4 3.4
+MOP4 en R4 THIS MORNING SAYS DON HOWE IS ANOTHER LIKELY CANDIDATE TO TAKE US INTO THE NEW YEAR . 17 3, 2, 2, 1, 4, 3, 4, 3, 4, 4, 3, 2, 1, 3, 4 2.86666666667
+MOP4 en It is one of the ways in which the Spirit evokes prayer in the people of the Messiah . 18 3, 3, 4, 2, 4, 3, 3, 3, 4, 4, 4, 4, 4, 3, 4 3.46666666667
+MOP4 en Such fundamentals should be the same for all . 8 4, 4, 3, 3, 4, 3, 4, 3, 4, 3, 2, 4, 4, 4, 4, 4 3.5625
+MOP4 en Sega owners are bigger in the trouser department . 8 3, 3, 3, 3, 4, 4, 3, 3, 4, 4, 4, 3, 3, 4, 4, 4 3.5
+MOP4 en I'm just sick of reporters tramping in and out , wanting to know her business . 14 4, 1, 4, 3, 3, 4, 4, 3, 4, 4, 4, 3, 4, 4 3.5
+MOP4 en Or if you went into her kitchen and interfered . 9 2, 3, 2, 2, 3, 2, 3, 3, 3, 3, 3, 4, 3, 3, 3, 3, 4 2.88235294118
+MOP4 en However , by 1976 , local councils in east London were able to publicize the advantages of their areas to industrialists . 19 3, 4, 3, 4, 4, 4, 3, 4, 3, 3, 4, 4, 4, 4, 4, 3 3.625
+MOP4 en It may be the detailed description and prices of merchandise , details of a complaint , ideas for a new product , or whatever . 21 4, 3, 4, 4, 3, 4, 4, 4, 1, 4, 3, 4, 2, 3, 2, 3, 4, 2 3.22222222222
+MOP4 en Japanese banks operating in London accounted for 28.5% of total lending from London in 1991 , American banks 15% , and other banks 40.7% . 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4 3.88235294118
+MOP4 en ‘ I'm dying for a cup of tea , ’ Charlie announced . 9 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 en And are hoping for a Twickenham meeting with either Kidderminster Carolians or Hitchin in the finals . 16 1, 4, 1, 4, 4, 3, 3, 1, 4, 2, 3, 3, 3, 3, 3 2.8
+MOP4 en This is an appeal by Swansea City Council against a decision of Judge Michael Evans Q.C. , given in Swansea County Court on 6 February 1991 . 25 4, 4, 1, 4, 3, 4, 1, 4, 3, 4, 4, 4, 4, 3, 4, 4 3.4375
+MOP4 en Who was Elsie and what had happened to her ? 9 4, 2, 3, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 3 3.57142857143
+MOP4 en She stared into his eyes , and saw the suppressed hunger there , and her heart seemed to contract then swell inside her . 21 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 2, 4, 4, 4, 4 3.73333333333
+MOP4 en A sense of well-being , of transformation and enlightenment , penetrates to the very marrow of his bones . 16 4, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4 3.76470588235
+MOP4 en — one of the control sample respondents possessed all three traits , and one-quarter two out of three . 16 3, 1, 1, 3, 4, 3, 3, 3, 2, 2, 3, 4, 3, 2 2.64285714286
+MOP4 en wonder why you — But mibbe I should thank ma 9 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1 1.13333333333
+MOP4 en A somewhat thicker book , The Bernese Alps details the important region skirted by the previous book . 16 4, 4, 2, 3, 4, 3, 4, 4, 3, 3, 2, 3, 4, 3, 4 3.33333333333
+MOP4 en Booming out of speaker boxes perched on the kerb , thundering from bars and shops , every corner has its own sound system . 21 3, 3, 4, 1, 3, 3, 3, 2, 3, 1, 2, 3, 3 2.61538461538
+MOP4 en Young people's knowledge about the harmful effects of smoking is considerable ; those who take up smoking are not doing so purely out of ignorance . 24 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4, 3, 3 3.75
+MOP4 en Tandem's annual revenues grew by 24 per cent to $1.6 billion . 10 3, 3, 4, 4, 4, 4, 4, 4, 3, 4, 3, 3, 4, 4, 4 3.66666666667
+MOP4 en Gwyneth Dunwoody stated that we were secretly dismantling the health service and Roy Hattersley muttered about contracting out old people like refuse collection . 23 3, 3, 2, 3, 4, 2, 1, 4, 3, 3, 1, 4, 4, 3 2.85714285714
+MOP4 en Could a man who deserted his wife and child for another woman get off free without scars ? 17 3, 4, 3, 4, 3, 4, 2, 4, 3, 3, 3, 4, 4, 3, 4, 4 3.4375
+MOP4 en If the French should take them and see them directed to such noted men , they might take care to send them to them . 23 2, 2, 2, 2, 1, 2, 2, 1, 3, 3, 2, 2, 2, 3 2.07142857143
+MOP4 en The Cats Protection League Bazaar , Parliament Room , Royal Baths Assembly Rooms , Crescent Road . 13 1, 2, 1, 3, 3, 4, 4, 4, 2, 1, 1, 2, 1, 3, 3 2.33333333333
+MOP4 en Their discoveries have worrying implications for the 600,000 people thought to have been affected by the release of radiation . 19 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.9375
+MOP4 en It brings the twittering children , and the birds , 8 4, 3, 4, 2, 1, 4, 4, 2, 3, 3, 3 3.0
+MOP4 en The consequences of this latter factor have been to at times lead to the definition of community care as ‘ non-hospital care ’ ( Parker , 1990 ) . 23 1, 1, 3, 2, 4, 4, 2, 2, 1, 4, 1, 4, 3, 2, 3, 2, 4 2.52941176471
+MOP4 en Viol tried to flag down another , but the driver ignored him . 11 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 3, 4, 4, 4, 4, 4, 4 3.82352941176
+MOP4 en Graphically oriented programming tools , application programming interfaces and cross-application macro facilities will also be offered . 15 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 4, 4, 4 3.83333333333
+MOP4 en Thirdly , uncertainty now surrounds the future of the industry . 9 4, 4, 3, 4, 3, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4 3.76470588235
+MOP4 en Had he not , as everyone knew , single-handedly raised and led an Arab army against the Turks ? 16 2, 3, 3, 3, 3, 3, 4, 3, 4, 3, 3, 4, 4, 4, 4, 4, 4, 2 3.33333333333
+MOP4 en The closest cooperation between the allocation officers and each unit manager is essential both in devising the plan and in the scheduling of holidays . 24 3, 3, 4, 3, 4, 1, 4, 4, 3, 4, 4, 3, 2, 4, 3, 4 3.3125
+MOP4 en ‘ There is no robust critique , no convincing body of evidence , no sign of learning from a decade of failure . 19 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 3, 4, 4, 4 3.75
+MOP4 en Survival time was defined as the period between surgery and death . 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 2 3.88235294118
+MOP4 en Mr Tadgell , 32 , rented a flat in Australia with Joanna as she progressed from a cleaner to a waitress at the casino . 22 4, 4, 3, 4, 3, 4, 4, 4, 3, 4, 3, 4, 3, 4 3.64285714286
+MOP4 en The Daurog moved about their business , eyeing Tallis with the same shivering caution as the evening before . 17 3, 4, 3, 3, 3, 3, 4, 4, 4, 3, 3, 3, 4 3.38461538462
+MOP4 en Mr Jenks marched along the corridor , glaring wrathfully about him , and the children fell back on both sides without a murmur . 21 4, 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3 3.76470588235
+MOP4 en Your detective of the detective story , of course , went about seeking information . 12 3, 3, 2, 4, 2, 3, 4, 4, 3, 2, 2, 2, 3, 2, 2, 2, 3 2.70588235294
+MOP4 en So you're working on a peer-group political model of photography and meaning ? 12 3, 4, 3, 3, 4, 2, 4, 3, 4, 1, 1, 4, 2, 4, 3, 3, 3 3.0
+MOP4 en The directives had no application to parliamentary proceedings or elections and allowed reported speech . 14 3, 2, 3, 3, 3, 3, 4, 4, 4, 2, 2, 4, 4, 2 3.07142857143
+MOP4 en Crystal thought Berg was a newspaper reporter and she assured Rain : ‘ I didn't spoil your story by telling him MI something killed MacQuillan . ’ 23 4, 2, 2, 3, 2, 2, 2, 4, 3, 1, 2, 3, 3, 3, 2, 1, 2, 3 2.44444444444
+MOP4 en Another street , also running approximately north-south , lay between it and Ryknild Street ; the branch north of the Tiddington road 19 2, 3, 4, 4, 4, 2, 3, 3, 2, 2, 3, 2, 3, 3, 3, 3, 3 2.88235294118
+MOP4 en I congratulate you on the unambiguity of your situation . 9 2, 4, 3, 4, 4, 4, 4, 3, 3, 3, 4, 3, 4, 3, 4, 3 3.4375
+MOP4 en ‘ If you wish to avail yourself of the bathroom facilities , feel free . 12 4, 4, 3, 3, 2, 4, 2, 4, 3, 4, 4, 4, 4, 3 3.42857142857
+MOP4 en The idea is to increase people's knowledge about the strength of drinks and weekly limits , and the link between drinking and health and fitness . 24 4, 4, 4, 4, 4, 3, 2, 4, 4, 3, 4, 2, 4, 3, 3, 4 3.5
+MOP4 en When the Indians went hunting , whether for animals or for rival Indians , their firepower was deadly . 16 4, 4, 4, 4, 4, 3, 4, 2, 4, 4, 4, 3, 4, 4, 3, 4 3.6875
+MOP4 en Facts speak for themselves , but only if executives are prepared to listen , are prepared to be convinced . 17 3, 2, 3, 3, 3, 3, 3, 4, 4, 3, 3, 3, 4, 3, 3 3.13333333333
+MOP4 en In the preceding decade London and other large metropolitan cities recorded massive population losses ; medium-sized cities either lost people or experienced only slow growth . 24 4, 4, 3, 4, 4, 2, 4, 4, 2, 4, 4, 4, 4, 2, 4, 3 3.5
+MOP4 en ‘ After the demise of our great team in ‘ 86 we were building sand castles for a while — they were collapsing all the time . 23 3, 2, 1, 4, 3, 2, 4, 4, 3, 3, 3, 4, 4, 4, 4 3.2
+MOP4 en Amiss was stunned by the courtesy and curiously uplifted to find that not everyone in this establishment was like Colonel Fagg . 21 1, 4, 4, 3, 4, 4, 3, 4, 4, 3, 4, 3, 2, 3, 4, 4, 4 3.41176470588
+MOP4 en One in every six trees in Switzerland is showing signs of ill-health — double the level recorded eight years ago . 19 3, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 4 3.75
+MOP4 en LEFT : Painter and decorator Kevin Barton latched into this early 2 lb 14 oz plaice during a session at Lepestone Point in Hampshire . 23 2, 2, 3, 4, 3, 3, 4, 4, 2, 2, 4, 3, 3 3.0
+MOP4 en It has been estimated that 65 per cent of the deals are spot and the remainder are forward deals . 19 3, 1, 2, 3, 3, 4, 4, 3, 4, 4, 1, 4, 4, 3, 4 3.13333333333
+MOP4 en As the mobs gathered , an assistant military attache asked Andrew about the pipe-playing episode in Reykjavik . 16 3, 4, 3, 4, 4, 4, 3, 1, 3, 1, 4, 3, 2, 4, 4 3.13333333333
+MOP4 en This was a necessity to qualify for a later call to the Bar . 13 4, 4, 4, 3, 2, 4, 3, 3, 3, 4, 3, 1, 3, 4, 4, 4, 3, 3 3.27777777778
+MOP4 en ‘ Here he comes , look out for this guy . ’ 8 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3 3.8125
+MOP4 en ‘ I hope you ain't gon na have a fit . 9 2, 3, 3, 3, 3, 3, 3, 4, 3, 2, 2, 2, 3, 3, 3 2.8
+MOP4 en He could not go through it all again . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4 3.93333333333
+MOP4 en ‘ Will you help us find out what happened ? ’ 8 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 en The distinction between equity and equality in the distribution and use of social services is crucial to the debate on health inequalities . 22 4, 4, 4, 4, 4, 2, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4 3.6875
+MOP4 en After I had my tea I would go to bed . 10 4, 3, 4, 4, 4, 4, 3, 1, 3, 3, 2, 2, 4, 3, 3, 4 3.1875
+MOP4 en The comprehensive tour included barley purchase , intake , laboratory , steeping , germination , kilns and malt dispatch . 14 3, 4, 4, 3, 4, 3, 4, 4, 4, 4, 4, 3, 2, 3, 3, 2, 2 3.29411764706
+MOP4 en After all , he had managed to defeat the system and was in sole command of a small military unit . 19 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 3, 4, 4, 4, 3, 4, 4 3.78947368421
+MOP4 en I think about G.P. holding me and caressing me . 9 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4 3.875
+MOP4 en ‘ I didn't want to be a superstar , I just wanted to be able to play well . 16 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4 3.8125
+MOP4 en LLOYD'S Register , the largest ship registration organisation , is being sued in America over a ship fire that killed 159 people two years ago . 23 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4 3.875
+MOP4 en This is not to deny , of course , that crime and violence in contemporary society is an important social reality . 19 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3, 3, 4, 4 3.73333333333
+MOP4 en The administrative structure of Partnerships , with its heavy emphasis on co-ordinating different agencies , would in any case tend to inhibit the unorthodox . 22 2, 3, 4, 4, 3, 4, 4, 4, 4, 2, 4, 3, 3, 3, 3 3.33333333333
+MOP4 en We walked solemnly around Gloucester in and out of the Cathedral precincts while he told me about his childhood . 19 3, 4, 4, 4, 4, 3, 4, 3, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4 3.72222222222
+MOP4 en By comparison , companies in the 20-50 jobs bracket suffer from neglect , they say . 13 4, 3, 2, 4, 3, 4, 4, 3, 4, 4, 4, 3, 3, 4, 3, 3 3.4375
+MOP4 en Within a few days of writing my planning notes a reasonable ( by UK standards ) day dawned . 16 1, 3, 1, 4, 4, 4, 3, 3, 4, 3, 3, 2, 2, 1 2.71428571429
+MOP4 en Whether this autoantibody has direct pathogenic importance , as in Wegener's granulomatosis , remains to be determined . 15 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 3, 3, 2 3.47058823529
+MOP4 en The incident received widespread television and press publicity , and prompted a civil rights march on 24 August from Coalisland to Dungannon . 21 4, 3, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 3, 4, 4, 4 3.75
+MOP4 en It contains a general index to magazine features , a recipe index and an index to recipes in our popular , step-by-step cookery series , Secrets of Success . 25 3, 2, 4, 4, 4, 4, 4, 4, 4, 3, 3, 2, 3, 3, 3, 3, 3, 4 3.33333333333
+MOP4 en Anglers are blaming pollution for a fall in the numbers of fish in some sections of the Rivers Severn and Avon . 21 4, 4, 3, 4, 4, 4, 4, 4, 3, 3, 4, 4, 3, 3, 4 3.66666666667
+MOP4 en Robin Child absolutely refuses to grade , and when O-levels gave way to GCSE with all its internal coursework and marking , he rejected it . 23 2, 3, 4, 3, 4, 4, 2, 4, 3, 3, 3, 2, 2, 3 3.0
+MOP4 en Does awareness of rates of obstetric interventions change practice ? 9 3, 4, 4, 3, 3, 2, 3, 3, 3, 4, 4, 3, 4 3.30769230769
+MOP4 en Synergie Ultra-Gentle Eye Make-up Remover with extract of rose , is a light oil-free lotion with soothing properties , £2,99/200ml . 17 3, 1, 4, 4, 4, 3, 3, 2, 3, 4, 3, 4, 3, 3, 4, 4, 3 3.23529411765
+MOP4 en Stewart and Tait were more aware of the degradation of energy , moral as well as physical , and thus of the impermanence of the world . 24 3, 3, 4, 3, 4, 4, 3, 4, 4, 4, 4, 2, 2, 4, 4 3.46666666667
+MOP4 en This rule is subject to a number of exceptions ( see Chapter 5 ) . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4 3.93333333333
+MOP4 en Malcolm is collecting old 10p pieces on behalf of his daughter for the Kidney Transplant Association . 16 4, 4, 4, 3, 4, 4, 4, 2, 4, 4, 4, 4, 4, 3, 4, 4 3.75
+MOP4 en We are grateful to Ken Byron for setting up a much needed journal in Drama and Dance Education . 18 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4 3.88235294118
+MOP4 en Cycling was also definitely related to gastro-oesophageal reflux . 8 3, 4, 4, 4, 4, 4, 3, 3, 4, 3, 4, 3, 4, 4 3.64285714286
+MOP4 en True to this tone , Tom's tape is scientific analysis as opposed to bedtime bogeyman stories . 15 3, 3, 3, 1, 4, 4, 3, 3, 4, 4, 4, 4, 2, 3, 3, 3 3.1875
+MOP4 en As was suggested in argument , that would indeed be to swallow the elephant and strain at the gnat . 18 2, 1, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 2, 1, 3 1.46666666667
+MOP4 en In desperation I took a typing course and moved fifty miles down the road to here , to the first job which would have me . 24 3, 4, 3, 2, 4, 3, 3, 2, 3, 4, 4, 3, 4 3.23076923077
+MOP4 en At relevant moments Dr Banda waves his fly whisk . 9 3, 4, 4, 4, 4, 3, 3, 4, 3, 3, 4, 2, 3, 2, 2, 4, 3 3.23529411765
+MOP4 en Both were former members of the left-wing extremist Red Army Faction ( RAF ) . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 4, 3, 3, 4, 4 3.73333333333
+MOP4 en But anyway ’ — her tone changed again — ‘ I'm grateful to you for your help . ’ 13 4, 4, 4, 1, 3, 3, 4, 4, 4, 4, 3, 4, 4 3.53846153846
+MOP4 en Stokesley , indeed , possessing neither trade nor manufacturers , has no appearance of bustle or business , and is a place well adapted to retirement . ’ 22 4, 4, 3, 4, 4, 4, 2, 2, 3, 4, 3, 4, 3 3.38461538462
+MOP4 en Although it is less damaging than the removal of bulbs and plants , consistent seed snatching can still effectively wipe out a species from a locality . 25 4, 4, 4, 4, 3, 3, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4 3.75
+MOP4 en Tickets from Sgt Gordon Parkin ( telephone 091567–6155 , ext. 6331 . 9 4, 4, 4, 4, 4, 3, 4, 2, 3, 3, 3, 2, 3, 2, 3 3.2
+MOP4 en You think I'm joking about the Porsche , don't you ? 9 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.9375
+MOP4 en They expressed their fury with the godly in lewd ballads that echo through Underdown's story . 15 4, 3, 1, 4, 2, 3, 2, 1, 1, 2, 3, 2, 3, 4, 3 2.53333333333
+MOP4 en Religion : Christianity ( Bulgarian Orthodox Church ) ; Islam practised by large Turkish and smaller Pomak minorities . 14 4, 3, 2, 2, 1, 2, 4, 1, 2, 2, 3, 2, 1, 2 2.21428571429
+MOP4 en ‘ There's no Black Dog here , ’ said the doctor . 8 2, 4, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 4, 3 3.66666666667
+MOP4 en Learning a manipulative skill , such as typing , takes hours . 9 4, 3, 4, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.66666666667
+MOP4 en Our communal phone is on the hallway wall by the front door . 12 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 3, 4, 4 3.8
+MOP4 en ‘ They say you are a known homosexual ; we believe it , ’ added a third . 13 4, 3, 3, 4, 3, 2, 4, 4, 4, 3, 3, 4 3.41666666667
+MOP4 en A BALANCED CALCIUM INTAKE TODAY MEANS A HEALTHIER YOU TOMORROW 10 4, 3, 4, 2, 4, 4, 4, 3, 3, 4, 4, 3, 4, 4, 4, 4 3.625
+MOP4 en ‘ I thought I might go to America and help the anti-draft students around the Army camps , ’ he said . 18 4, 2, 4, 3, 4, 4, 3, 4, 4, 3, 4, 4, 3, 4, 4, 3 3.5625
+MOP4 en Other people apart from yourself and the candidate who may need to be taken into account when fixing a schedule are : 21 2, 4, 4, 2, 3, 1, 3, 4, 2, 3, 3, 3, 3, 4, 3, 2 2.875
+MOP4 en Her mouth had formed the words before she realised . 9 1, 4, 3, 4, 4, 4, 4, 3, 4, 3, 4, 4, 3, 4, 4, 4, 3, 3 3.5
+MOP4 en Water temperature : The usual temperature range of 72°–76°F . 8 2, 4, 3, 3, 3, 4, 2, 3, 3, 2, 2, 3, 4, 4, 4 3.06666666667
+MOP4 en The first is a surface sore which starts off as a red mark . 13 3, 3, 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.76470588235
+MOP4 en We are really struggling at this point in time , thinking , ‘ What are we doing , what are we about ? ’ 18 4, 3, 4, 2, 4, 1, 3, 4, 4, 2, 3, 3, 4, 4, 4 3.26666666667
+MOP4 en I don't think Chris and the band know each other well enough at the time . 15 4, 3, 2, 2, 2, 3, 4, 3, 3, 4, 1, 3, 3, 4, 4, 3, 4 3.05882352941
+MOP4 en ‘ Donna , I said we should call the police . 8 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 3 3.6875
+MOP4 en His description of their encounter conforms to the usual descriptions with the general's immense sense of presence and concomitant dramatic side-effects . 21 3, 3, 4, 3, 2, 1, 4, 3, 3, 3, 3, 3, 3, 3 2.92857142857
+MOP4 en It likes damp , moist , airless places with a slightly more alkaline pH than is normally found in the vagina ( normally slightly acid ) . 22 4, 4, 3, 2, 4, 1, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.5
+MOP4 en Bongwater's Ann Magnuson carries the incandescent incense stick for the even ; Kim Gordon's a carcinogenic Zippo on full flame . 19 1, 1, 1, 1, 3, 2, 2, 3, 3, 3, 2, 1, 2 1.92307692308
+MOP4 en But did you know that the preposterous programme had a ‘ Did you know ’ section that in the currency of football trivia proved rather less fraudulent . 25 3, 1, 4, 3, 3, 2, 2, 3, 3, 2, 3, 2, 3, 2, 2, 2, 1 2.41176470588
+MOP4 en Now that she was looking closely , she realised that most of the rooms in the house had two doors . 19 4, 3, 3, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.73333333333
+MOP4 en If sources of income are not all taxed at equal rates , there is obviously an incentive to convert income into the untaxed form . 23 3, 1, 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4 3.53846153846
+MOP4 en They both drank , conscious that it had been a long afternoon , and Shelley at least was thirsty . 17 3, 4, 3, 4, 4, 4, 4, 3, 4, 2, 2, 4, 2, 3, 4 3.33333333333
+MOP4 en What happens if Bruce or Pallistar gets injured , have they any ( decent ) cover . 13 3, 2, 3, 4, 3, 3, 3, 2, 3, 3, 2, 2, 2, 3, 3, 3, 2, 4 2.77777777778
+MOP4 en But with his mother arrested it was now up to him to take charge of the rebellion in Poitou . 19 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 4, 4, 4, 3 3.8125
+MOP4 en But who knows , the illustrious Mr Punch may yet ride again at some time in the future . 17 4, 4, 3, 4, 2, 4, 4, 3, 2, 4, 4, 4, 4, 3, 4 3.53333333333
+MOP4 en ‘ Could that be pronounced Barry by any chance ? ’ 8 3, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 3, 4, 3, 4, 3, 4 3.70588235294
+MOP4 en He takes to it as a duck takes to water . 10 4, 4, 4, 4, 4, 4, 4, 1, 3, 4, 4, 3, 3, 4, 4 3.6
+MOP4 en Average household size has decreased from 3.09 in 1961 to 2.55 in 1987 and will continue to decline ( Table 2.6 ) . 20 4, 4, 2, 3, 4, 2, 4, 4, 2, 4, 4, 4, 4, 4, 4, 3, 4 3.52941176471
+MOP4 en The form by which the dialogue is represented is the one that best fits the mood and subject of the dialogue . 21 4, 4, 3, 3, 4, 4, 4, 1, 4, 3, 3, 3, 4 3.38461538462
+MOP4 en She had come to England from Berlin in the 1930s and had begun her studies at Central School of Arts and Crafts . 22 4, 4, 3, 3, 4, 4, 3, 4, 4, 4, 3, 4, 4, 3, 4 3.66666666667
+MOP4 en ‘ I'm tired of hearing complaints from the cook . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 en Being one of Prince's chosen women has its drawbacks . 9 4, 4, 4, 1, 1, 4, 3, 4, 4, 4, 3, 4, 4 3.38461538462
+MOP4 en At least Ferdinando now knew a great deal of English , whatever she had said to Pen to make him feel important . 21 1, 2, 2, 1, 3, 2, 4, 4, 3, 3, 2, 4 2.58333333333
+MOP4 en As though he remembered his manners , he looked an invitation at Nicandra . 12 2, 2, 2, 2, 2, 2, 3, 1, 1, 3, 2, 2, 3, 1, 2 2.0
+MOP4 en ‘ Act Two — Beginners please , ’ said a tremulous voice from outside the door . 12 4, 1, 4, 4, 4, 3, 4, 2, 4, 4, 4, 3, 4, 4, 4, 4 3.5625
+MOP4 en Coming and going — there had been too much of that . 10 4, 4, 4, 4, 4, 3, 2, 3, 3, 4, 4, 3, 3, 4, 3, 3 3.4375
+MOP4 en Sow seed outdoors In spring , or divide the plants In spring , and allow 60cm ( 2ft ) between plants . 17 3, 4, 4, 1, 3, 3, 4, 3, 3, 3, 1, 3, 2, 4, 4 3.0
+MOP4 en This has now been cut from to 3% 6.7% , but according to chairman Mike Tilbrook , the remaining holding ‘ continues to show a useful paper profit ’ . 25 2, 3, 3, 3, 3, 2, 2, 2, 4, 3, 2, 3, 3, 3, 3, 2, 2, 2 2.61111111111
+MOP4 en Dexter guessed she was starting to share the same nagging sense of depression that had afflicted him since the end of the interview with Parkin . 25 4, 2, 4, 4, 4, 2, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4 3.625
+MOP4 zh We also have a dowry floor , Lincolnshire, was lovely in May . 11 3, 2, 1, 4, 1, 1, 1, 3, 1, 2, 1, 1, 3, 1 1.78571428571
+MOP4 zh My first real friend could be a boy called Adam . 10 4, 4, 3, 3, 2, 3, 4, 3, 3, 3, 4, 3, 4 3.30769230769
+MOP4 zh She was wearing denim overalls , carrying buckets and brushes. 9 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4 3.84615384615
+MOP4 zh In the coming year , he has custody of Rochester Castle. 10 3, 3, 4, 3, 4, 2, 3, 4, 4, 2, 3, 4, 4, 4, 3 3.33333333333
+MOP4 zh Last Sunday for a cycle ride around Wirral Country Park Booking is essential, when the leadership is Cheshire ranger Barry Jackson. 21 2, 1, 1, 1, 1, 2, 1, 1, 1, 3, 3, 1, 2, 1, 2 1.53333333333
+MOP4 zh This expression is called the fundamental theorem of Riemannian geometry . 10 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.88235294118
+MOP4 zh But it tends to obscure them , it draws on mainstream psychology . 11 3, 4, 3, 2, 4, 4, 3, 3, 2, 4, 3, 3, 4, 3 3.21428571429
+MOP4 zh Greg Hawking is one of the rare people who drift into teaching and found themselves , they themselves are surprised , absolutely cut out the work . 24 1, 3, 1, 2, 2, 3, 2, 2, 1, 2, 1, 1, 2, 3, 1, 4 1.9375
+MOP4 zh Appointment of a new minister in office will take over the responsibility of policy in many sectors . 17 3, 3, 4, 2, 4, 4, 3, 3, 4, 3, 1, 2, 4, 4, 2 3.06666666667
+MOP4 zh In his kindness when Rhun outstretched arm, raised him from his knees , he still hung heavily desperate clinging to his humility . 21 1, 2, 4, 4, 1, 1, 1, 2, 1, 4, 2, 2, 1, 2, 1, 2 1.9375
+MOP4 zh The figure shows a measure of the radiation per unit area with the meter reading . 15 2, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4 3.69230769231
+MOP4 zh In some bars prosthetic hand pump gas beer . 8 2, 4, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 4, 3, 1, 2 1.6875
+MOP4 zh In fact, there are too many complaints monitoring requirements often tubular epithelium. 12 1, 1, 1, 4, 2, 3, 1, 3, 1, 1, 3, 2, 1, 1, 2, 2, 1 1.76470588235
+MOP4 zh Preliminary work began in September last year after the appointment of the two townships hiring full-time project . 17 1, 4, 2, 4, 3, 2, 2, 1, 3, 4, 2, 2, 2, 4 2.57142857143
+MOP4 zh This is , of course , can reduce the tendency of this effect , and move away from the larger , centralized monitoring local police . 21 1, 4, 1, 1, 2, 1, 1, 3, 1, 1, 2, 3, 3 1.84615384615
+MOP4 zh Todd has , he is a woman of another dream. 9 1, 1, 1, 1, 1, 1, 2, 3, 1, 1, 1, 1, 2, 2, 1 1.33333333333
+MOP4 zh Coaches can often be valuable mentors from the possibility of drama school , you may have auditioned before , who can give a fair assessment . 23 1, 2, 2, 2, 3, 2, 2, 3, 1, 1, 2, 1, 4, 2, 1, 1 1.875
+MOP4 zh But the report also failed to control the explosion authoritative boss , Mr. Watney , aged 58, last year, early retirement activities . 20 3, 1, 1, 1, 1, 3, 1, 1, 2, 2, 1, 3, 2, 2, 2 1.73333333333
+MOP4 zh Of course , some people will respond personally ( he has included the postage ) . 12 3, 4, 3, 4, 3, 4, 4, 4, 4, 2, 4, 2, 4, 3, 3, 2, 4 3.35294117647
+MOP4 zh Four major areas or larger than our Moon . 8 2, 1, 2, 3, 1, 1, 3, 3, 2, 2, 3, 3, 1 2.07692307692
+MOP4 zh Police urge witnesses to the incident occurred in the 11:00 , on Monday in Windsor Street , Toxteth . 16 4, 4, 3, 2, 3, 2, 2, 2, 1, 1, 1, 2, 2, 2, 4, 1 2.25
+MOP4 zh Watch how to return to the previous line of text package. 11 4, 3, 4, 4, 2, 3, 3, 4, 2, 4, 2, 2, 2, 3, 4, 2 3.0
+MOP4 zh The surface need not be completely flat or smooth . 9 3, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4 3.8
+MOP4 zh In light of this work has been completed , you can then check the draft schedule in the closest detail - may shreds. 21 1, 2, 1, 1, 2, 1, 2, 4, 2, 3, 1, 3, 1, 3, 1 1.86666666667
+MOP4 zh There will be 5,733 empty houses , of which nearly 2,000 have been empty for over a year . 17 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4 3.83333333333
+MOP4 zh Heath ( 3.3 ) summarizes the class differences in educational research in an influential and historic tradition. 15 4, 4, 4, 4, 2, 4, 4, 4, 3, 3, 4, 3, 4, 3, 4, 4, 3 3.58823529412
+MOP4 zh This phase is considered to Permian sediments and volcanics and the underlying Devonian rocks reaction between the salt solution has been controlled. 22 2, 4, 1, 1, 1, 3, 1, 1, 1, 3, 3, 2, 1, 2, 4, 2, 2 2.0
+MOP4 zh His price - his price can be of immense use . 9 3, 1, 3, 3, 3, 1, 3, 2, 3, 3, 3, 3, 3, 3, 2, 3 2.625
+MOP4 zh In attendance miners in Mansfield clinic there is a significant improvement , however , because it is closer to their homes. 19 1, 1, 3, 1, 2, 2, 2, 1, 3, 2, 3, 2, 1, 2 1.85714285714
+MOP4 zh Well, maybe most of the failures are on my side . 10 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4 3.875
+MOP4 zh Gere and Basinger starred in porn thriller Warner Home Video released to video library by October 18 the final analysis . 20 1, 3, 1, 3, 2, 2, 3, 1, 3, 3, 1, 1, 3, 1, 1, 3 2.0
+MOP4 zh Recently , concerns grow , Michelangelo 's Sistine Chapel ceiling in Rome has been irreparably changed by the Vatican conservation team. 18 2, 2, 4, 4, 3, 2, 3, 4, 4, 2, 3, 4, 1, 3 2.92857142857
+MOP4 zh Disillusion me and my sympathy at the same time . 9 3, 1, 4, 3, 3, 3, 4, 3, 3, 2, 1, 2, 2, 3, 4, 1 2.625
+MOP4 zh Horse shot out like an arrow from a bow. 9 3, 2, 3, 4, 2, 3, 3, 3, 4, 4, 4, 2, 3, 3 3.07142857143
+MOP4 zh British Equestrian Association is anxious to find out why only a third of the people supposed to happen this year . 20 2, 3, 3, 2, 4, 2, 4, 1, 2, 1, 2, 3, 3, 2, 1 2.33333333333
+MOP4 zh Adopt PERTEX fabric Quallofil 7 filling , KOMPAKT Lite weighs only 1.2 kg , and , in its stuff sack , a decrease of 7 liters. 22 1, 2, 1, 1, 2, 2, 4, 1, 1, 1, 1, 1, 3 1.61538461538
+MOP4 zh In exceptional circumstances , the Head of discomfort you exit clause , if there is a reasonable explanation for failure to notify . 20 1, 2, 2, 2, 1, 1, 3, 1, 1, 1, 1, 1, 2, 1 1.42857142857
+MOP4 zh Strategy so successfully demonstrated in the application of science and technology are experiencing serious problems , complex social system . 18 4, 1, 1, 2, 1, 3, 2, 1, 2, 1, 1, 2, 2, 3, 3 1.93333333333
+MOP4 zh Small specimens are sometimes confused with Synodontis petricolor 's . 8 3, 4, 3, 3, 3, 3, 3, 3, 4, 3, 3, 4, 3 3.23076923077
+MOP4 zh They called us early into the stadium , it is hot , very hot . 12 3, 3, 3, 4, 2, 1, 3, 3, 3, 3, 3, 2, 3, 3 2.78571428571
+MOP4 zh Under normal circumstances , I would pick an artist from their homes and take them to Middlesbrough , where they Cleveland radio interview . 21 2, 3, 4, 2, 4, 2, 3, 2, 1, 2, 2, 2, 2, 2, 2 2.33333333333
+MOP4 zh Though not as taut a young man , his muscles bulging efforts. 11 2, 1, 1, 2, 1, 1, 2, 1, 2, 1, 2, 1, 2, 1, 1, 2 1.4375
+MOP4 zh A review copy was a solid black , but the basic model of refined oil . 14 3, 2, 2, 1, 1, 2, 2, 4, 2, 1, 1, 2, 2, 2, 4, 2, 2, 1 2.0
+MOP4 zh In their bedroom where things fall to the ground, and immediately woke up a pair of twins began to howl . 20 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 3, 1, 1, 1, 1 1.26666666667
+MOP4 zh The necessary motion , in addition to the liquid medium does not occur. 12 2, 3, 2, 4, 2, 1, 3, 2, 4, 3, 3, 2, 4, 4, 2, 2, 3 2.70588235294
+MOP4 zh Once known as butter on Stowe Stowe, because London vector collection of butter. 13 1, 1, 1, 3, 2, 4, 1, 3, 2, 1, 1 1.81818181818
+MOP4 zh Adhesion of T cell subsets in particular, the specificity of cytokine-induced lymphocyte recruitment process more flexible and selective . 18 3, 1, 3, 2, 3, 2, 1, 3, 3, 3, 2, 3 2.41666666667
+MOP4 zh If I had been in your shoes , I walked right out of him . 13 4, 1, 2, 1, 2, 1, 3, 1, 2, 1, 2, 2, 2, 2, 2, 2 1.875
+MOP4 zh He closed his eyes, she saw his chest movement has stopped. 11 1, 3, 3, 4, 3, 4, 3, 3, 3, 2, 4, 3, 3, 4, 2, 3, 2 2.94117647059
+MOP4 zh A friend to everyone she met loved and missed. 9 2, 2, 3, 2, 2, 3, 3, 4, 3, 3, 2, 3, 4, 3 2.78571428571
+MOP4 zh But it is missing - the walls are more than it has disintegrated . 12 2, 2, 1, 4, 2, 1, 2, 1, 3, 3, 1, 1, 2, 2, 1, 1 1.8125
+MOP4 zh He 's going to buy her a new typewriter , old thing, she practices like Candyman trumpet noise. 16 1, 1, 1, 3, 1, 1, 1, 1, 2, 2, 1, 1, 3, 3, 2, 1 1.5625
+MOP4 zh You stole it ? "" He replied Laura surprised protest , ""I want to do the time . 13 3, 1, 2, 3, 1, 1, 2, 4, 1, 3, 2, 1, 1, 1 1.85714285714
+MOP4 zh And the previous maximum 10.5KW 18KW output to the length of the boiler flue 3 meters. 16 1, 1, 2, 4, 2, 1, 4, 2, 1, 1, 2, 1, 1, 2 1.78571428571
+MOP4 zh Slowly rising like a machine , she made her way to the counter , pick up the handset. 16 1, 2, 2, 2, 2, 2, 3, 2, 4, 3, 4, 3, 3, 2, 2, 4 2.5625
+MOP4 zh They like to work with the gear , fitting in place, where it is needed . 14 3, 3, 3, 3, 2, 1, 4, 3, 3, 2, 2, 2, 3, 3, 3, 3 2.6875
+MOP4 zh We should call it like before Lowfields or make use of the 'new East Stand ' ? 14 2, 1, 2, 3, 1, 2, 1, 4, 2, 2, 3, 3, 2, 2, 1 2.06666666667
+MOP4 zh Agnes , now fully dressed, and went into the hall . 9 1, 2, 2, 1, 1, 2, 1, 2, 2, 2, 3, 3, 3, 1, 4, 3, 3 2.11764705882
+MOP4 zh Supplement per person per night £ 135 for the first night , £ 105 extra a night ( minimum 2 persons ) . 17 4, 4, 3, 3, 4, 3, 4, 2, 2, 3, 2, 4, 4, 2, 4 3.2
+MOP4 zh You should get a certificate of posting , which is provided free of charge at the counter . 16 4, 3, 4, 3, 4, 3, 4, 4, 2, 4, 4, 4, 4, 4 3.64285714286
+MOP4 zh Second, they retain 25% of the capitation payments discretionary appropriations formula system . 12 4, 1, 1, 4, 1, 4, 2, 4, 3, 2, 2, 3, 4, 4 2.78571428571
+MOP4 zh Pallister opponents are: Steve Bruce ( Manchester United ) , Paul Pierce ( Nottingham Forest Paul McGrath ( Aston Villa ) , Gary Lineker ( Spurs ) ; Rehovot Dayton ( Liverpool ) . 21 3, 2, 3, 3, 4, 4, 3, 3, 4, 4, 3, 4, 3, 2, 3, 4 3.25
+MOP4 zh This shows that the company did not learn anything from this lesson. 12 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 zh Here we have an uninterrupted outlook , and a brilliant prospect , it is far , stretching several miles per hand . 18 4, 3, 3, 2, 2, 1, 2, 1, 4, 2, 2, 2, 3 2.38461538462
+MOP4 zh Debenhams left of lambswool jumper , £ 24.99 ; striped cotton shirt , £ 15.99 ; tie, £ 7.99 ; grinding washing line, £ 29.99 ; leisure Gibson shoes, £ 34.99 . 20 4, 1, 1, 1, 1, 3, 4, 1, 3, 4, 1, 2, 1, 3, 2 2.13333333333
+MOP4 zh Orthodox Judaism continue to teach an elaborate separation menstruating women and a man in contact with her family . 18 3, 1, 1, 1, 2, 3, 3, 2, 2, 1, 2, 1, 1, 2, 1 1.73333333333
+MOP4 zh Recent construction survey shows that 60 -year-old title called Church Road issue. 11 2, 2, 1, 2, 1, 1, 1, 3, 2, 3, 1, 1, 1, 4, 1, 1, 4, 2, 1 1.78947368421
+MOP4 zh Problem fireplace is set into a huge thick portion is divided into rooms . 13 1, 1, 2, 2, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 2 1.4
+MOP4 zh This is a brave move, re- start in the garden design talent, and to ensure that testing. 17 4, 1, 1, 2, 1, 3, 2, 3, 1, 2, 1, 1, 3, 1 1.85714285714
+MOP4 zh Liverpool won early popularity , as the British military victory in the Korean peninsula , Mr John Major 's reputation improves the Gulf War . 21 2, 3, 1, 1, 1, 2, 2, 2, 4, 2, 2, 2, 2, 2, 1, 3 2.0
+MOP4 zh BST EEC ban until further research has been completed. 9 4, 1, 3, 4, 3, 3, 2, 3, 3, 3, 2, 2, 2, 3, 4, 2, 3 2.76470588235
+MOP4 zh This deliberately stressed young people and wounding over unreliable relationship dilemma of residential workers . 14 2, 1, 1, 1, 3, 2, 2, 2, 3, 2, 2, 1, 3, 2, 1, 1, 2, 1 1.77777777778
+MOP4 zh France July 29, 1881 declared: "" publishing and freedom of the press . ' 11 2, 1, 1, 1, 4, 2, 2, 4, 3, 1, 2, 3, 1, 1, 2, 3, 2 2.05882352941
+MOP4 zh As far as I can see , we can go to Dersingham or for their own men . 16 1, 2, 4, 4, 2, 2, 3, 2, 1, 3, 2, 1, 2, 3, 2, 2 2.25
+MOP4 zh Distinction is drawn between the license , it ceases to have effect . 11 2, 2, 2, 3, 3, 3, 3, 1, 3, 3, 4, 3, 3, 3, 2, 3, 2 2.64705882353
+MOP4 zh Turning them into public gardens and you create attractive , rather than an eyesore . 13 1, 2, 2, 1, 3, 3, 2, 3, 3, 1, 2, 2, 2, 3, 2 2.13333333333
+MOP4 zh Julie , it is believed that it tries to run back along the path of this treelined Elizabeth snapped . 18 1, 2, 1, 4, 2, 1, 1, 1, 1, 3, 1, 1, 1, 1, 3 1.6
+MOP4 zh Latin America, the lowest female participation rate of any region in the world , including the Middle East , although they strictly limit women's activities . 23 4, 3, 1, 2, 2, 4, 4, 3, 3, 3, 2, 1, 2, 1, 3, 2, 2 2.47058823529
+MOP4 zh Nine schools in three Midlands law enforcement agencies , will be identified as in-depth study questionnaire. 15 2, 2, 2, 2, 4, 2, 1, 4, 3, 1, 4, 2, 4, 4, 3 2.66666666667
+MOP4 zh This is when the request is considered neutral , because it must be false , the damage to the justice system . 19 2, 1, 2, 1, 4, 2, 2, 2, 1, 2, 3, 2, 1, 2, 1, 1, 3, 3, 3 2.0
+MOP4 zh Some trees , vegetation and animals for the mechanical creation of phantom companies . 12 2, 1, 1, 3, 2, 3, 1, 1, 4, 1, 2, 1, 3 1.92307692308
+MOP4 zh I say he , because this is what I think , though it may be that they even her . 17 3, 1, 1, 2, 1, 2, 1, 3, 2, 3, 2, 2, 1, 1, 1, 2 1.75
+MOP4 zh Julie 's husband Tim at St Botolph's Church in Brampton , cost five standing beside the tomb crying. 16 2, 1, 1, 1, 1, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 1, 1, 1 1.22222222222
+MOP4 zh They are scripted NCR System 3000 , Sun , HP and IBM mainframe platform DECstation . 13 4, 2, 4, 4, 2, 3, 4, 2, 2, 4, 4, 1, 2, 2, 2, 4, 3 2.88235294118
+MOP4 zh Sequel hook Balinese determination usurp another man 's family , and from the fear of modern man appeared in their own children . 20 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 3, 1 1.35294117647
+MOP4 zh Invite your closest people to give you some degree of diplomacy , showing you honest feedback . 15 3, 4, 4, 3, 4, 2, 2, 3, 3, 3, 3, 4, 2, 2, 4, 4, 2 3.05882352941
+MOP4 zh We've seen her smile of ""Tatler"" magazine cover her figure in dozens of fashion circles. 14 2, 2, 1, 2, 2, 2, 2, 2, 3, 2, 3, 4, 1, 1, 2, 2, 4 2.17647058824
+MOP4 zh Is a small-scale , seemingly without considering the valuer contract as principal . 11 1, 2, 4, 1, 3, 2, 1, 2, 3, 2, 2, 2, 3, 1, 2 2.06666666667
+MOP4 zh Plan targets , make your PC a specified file on the hard disk is almost instantaneous keyword search . 17 1, 2, 1, 3, 2, 1, 2, 4, 2, 1, 3, 2, 1, 1, 4 2.0
+MOP4 zh Oh , it's not so bad, "" said Charles feebly offer . 9 2, 3, 2, 4, 2, 3, 4, 1, 2, 3, 4, 2, 1, 2, 4, 2, 2 2.52941176471
+MOP4 zh End of the program , as it fell to the fire chorus from Alf unclean , unclean family rest . 17 2, 1, 1, 1, 1, 3, 3, 1, 1, 1, 1, 1, 1, 1, 1 1.33333333333
+MOP4 zh John Taylor is a flow artisans, from Oxford University in 1839 recast Loughborough church bells . 15 3, 3, 1, 1, 2, 1, 2, 3, 4, 2, 4, 2, 2, 1, 4 2.33333333333
+MOP4 zh How are you going , the next step tweed ? 8 1, 1, 1, 1, 1, 1, 2, 1, 2, 2, 2, 2, 4, 1, 2, 2, 3 1.70588235294
+MOP4 zh Is flexible and , if necessary, should have more time to devote to a project in a separate meeting . 18 4, 2, 3, 4, 2, 3, 3, 2, 3, 3, 3, 2, 4, 2, 3 2.86666666667
+MOP4 zh It was originally developed by the U.S. publishing company Houghton Mifflin ) . 11 4, 3, 3, 4, 4, 4, 3, 4, 2, 3, 3, 4, 4, 4, 4, 4 3.5625
+MOP4 zh Those days are gone , thanks to our measure. 8 3, 4, 4, 3, 4, 3, 3, 2, 4, 4, 4, 3, 3, 4 3.42857142857
+MOP4 zh Explosion shattered glass all around storm rain curse them along the corridor . 12 1, 2, 3, 2, 2, 1, 1, 3, 2, 1, 1, 1, 1, 1, 3 1.66666666667
+MOP4 zh Involved in the operation of services laid reduction ; in its local community health committees were created to represent the public . 20 1, 3, 1, 2, 2, 1, 1, 2, 2, 4, 1, 1, 1, 2, 1, 2, 2 1.70588235294
+MOP4 zh The implementation of the results - British wool romantic - in one of the world 's largest and most prestigious department stores in October ( 8-18 ) . 22 2, 4, 3, 3, 4, 3, 1, 4, 2, 2, 1, 3, 2, 1, 2 2.46666666667
+MOP4 zh Why not give their own stupidity , not bothered ? 8 2, 2, 1, 1, 2, 1, 1, 1, 1, 2, 3, 2, 1, 2, 1, 1, 1, 1, 2 1.47368421053
+MOP4 zh TV presenter Keith Chegwin opened his heart yesterday in front of the camera , admits: "" I am an alcoholic . 18 2, 3, 4, 3, 2, 3, 3, 3, 4, 3, 3, 2, 3, 4, 3, 3, 3 3.0
+MOP4 zh They have established themselves in the southwest , and their king , Athaulf Court held in Narbonne . 15 2, 3, 1, 3, 2, 3, 2, 4, 2, 3, 3, 3, 2 2.53846153846
+MOP4 zh Rachel sat next to Damian Flint hateful tense silence . 9 1, 3, 3, 2, 1, 1, 1, 2, 2, 3, 2, 1, 2 1.84615384615
+MOP4 zh Fat couple on vacation blanket , bouncing like children in low-g cuckoo moondirt souvenir jewelry. 14 2, 1, 1, 2, 1, 1, 1, 3, 4, 1, 1, 1, 1, 1, 1, 2 1.5
+MOP4 zh Presidential Commission initially appeared intended to replace the main centers of the Soviet Communist Party Politburo in the Soviet Union 's political decisions. 22 1, 4, 3, 3, 2, 4, 3, 3, 4, 4, 3, 2, 2, 2, 2 2.8
+MOP4 zh Questions. Said the gentleman , the proposal is half-baked . 8 2, 1, 1, 1, 1, 3, 2, 2, 3, 2, 3, 2, 3, 2, 2, 3 2.0625
+MOP4 zh This modeler adds an associated program , thus providing a truly automated assembly process movement possibilities. 15 2, 3, 1, 2, 4, 4, 3, 4, 4, 2, 4, 3, 3, 4, 4 3.13333333333
+MOP4 zh The end of the known death toll down sharply again from the revolution stood 689 . 15 1, 2, 2, 2, 2, 1, 2, 2, 1, 1, 2, 3, 2, 2 1.78571428571
+MOP4 zh Old sailor Harry Ward does not expect campfire ...... because his latest drinking companion , Johnny papier-mâché guy would be burned alive. 20 1, 2, 3, 3, 1, 2, 4, 3, 2, 3, 3, 3, 2, 1, 3, 2 2.375
+MOP4 zh Transport are designed to withstand accidents and , until recently Govenrment precludes any possibility of radioactive leaks . 16 2, 2, 2, 4, 3, 3, 3, 2, 2, 1, 2, 3, 3, 2 2.42857142857
+MOP4 zh I know there must be a wound , she had not been strangled or drowned , or poisoned . 16 3, 3, 3, 3, 4, 4, 3, 4, 4, 4, 3, 4 3.5
+MOP4 zh We are firmly committed to equal treatment of men and women pensions. 12 4, 2, 3, 2, 2, 4, 2, 4, 3, 4, 3, 4, 3, 4, 3, 3 3.125
+MOP4 zh Poison is dangerous, but few people who bathe in the sea urchin know how painful swelling when there can be unexpected trampled . 22 1, 2, 2, 2, 2, 3, 1, 1, 1, 1, 2, 2, 1 1.61538461538
+MOP4 zh Fortunately, we are honest, is a very simple game plot. 10 2, 2, 1, 2, 1, 3, 2, 1, 3, 3, 1, 1, 1, 2, 1, 3, 2 1.82352941176
+MOP4 zh They will jazz Telford , Marconi , a subsidiary of GEC ubiquitous group headed by Chairman of the Board. 17 1, 1, 1, 2, 1, 1, 1, 2, 1, 3, 1, 2, 3, 1, 1, 3 1.5625
+MOP4 zh Let A and B are non-relativistic , so that movement. 9 4, 3, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2 1.5
+MOP4 zh Agreed in principle to a cessation of hostilities . 8 4, 4, 3, 3, 3, 2, 3, 1, 3, 3, 2, 3, 3, 3, 3, 3, 3, 3 2.88888888889
+MOP4 zh These checks can find no good reason , business or not, isolation , management's examination is reduced to less than 75 . 19 1, 2, 2, 3, 2, 1, 1, 2, 3, 3, 2, 1, 2, 4, 1, 4 2.125
+MOP4 zh Procedures for the 16-week training allowance and travel expenses . 9 2, 4, 4, 3, 4, 3, 2, 4, 2, 4, 1, 3, 3, 3, 3, 3 3.0
+MOP4 zh Taking into account the different types of cells , such as muscle , skin, gut and nerves. 15 3, 4, 3, 3, 4, 4, 4, 3, 4, 3, 4, 2, 3, 4, 3, 3 3.375
+MOP4 zh Bridget reported that , compared with previous courses held in Avery Hill Easter Course numbers are much lower. 17 3, 2, 2, 3, 4, 2, 3, 3, 3, 4, 3, 4, 2, 4 3.0
+MOP4 zh Single £ 4.00 nights , continued to live night £ 16.00 8 4, 1, 1, 2, 2, 2, 1, 3, 2, 1, 1, 1, 2, 1, 2, 3, 1 1.76470588235
+MOP4 zh ( 13 ) , is also unable to detect transcripts P3A + α subunit chicken leg muscles or mouse : mouse thymus organ or torpedo . 19 1, 1, 1, 1, 3, 2, 4, 1, 1, 2, 1, 1, 1, 2, 2 1.6
+MOP4 zh Since this region is very rich circle Cullbridge rare species . 10 2, 2, 1, 1, 1, 3, 1, 2, 1, 2, 1, 2, 1, 3, 2, 2, 2, 2 1.72222222222
+MOP4 zh Cold, late spring , it may be difficult to graze rye time a good tilth beet. 15 2, 2, 1, 2, 2, 1, 2, 1, 3, 1, 1, 2, 1, 2, 1, 2 1.625
+MOP4 zh We thoroughly enjoyed the dog today and all the right things to do , with our current eater , Monty tried , but he did not impress . 24 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 2, 1, 1, 2, 2, 1, 1 1.33333333333
+MOP4 zh More like Neanderthal remains were discovered in the 1880s , many paleoanthropologists began arguing that they include great apes and humans a unique species intermediate between . 25 2, 1, 1, 3, 1, 3, 3, 2, 1, 2, 3, 4, 2, 4 2.28571428571
+MOP4 zh You will receive a unique personalized club membership card , you can request your participation in Shell petrol station air miles . 20 4, 2, 3, 2, 3, 3, 3, 3, 2, 4, 3, 4, 3, 4, 3, 3, 3, 3 3.05555555556
+MOP4 zh Our idea is to make it easier , and try to get a good picture of how they feel about their health . 21 3, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4 3.8
+MOP4 zh In almost all investigations of any size , an investigator can take up full-time in the first few days after the accident taking statements . 23 3, 2, 3, 1, 1, 3, 3, 4, 2, 4, 1, 4, 2, 3, 1 2.46666666667
+MOP4 zh One day she and her mother Hickstead sent a note , ""said Deirdre has her bilius attacks , and will not come . 19 1, 2, 1, 2, 3, 2, 2, 2, 4, 4, 1, 1, 2, 1, 2, 2 2.0
+MOP4 zh But I think she has a good time . 8 3, 3, 3, 4, 2, 3, 4, 4, 3, 3, 2, 3, 4, 4, 3, 4, 3, 3, 3 3.21052631579
+MOP4 zh Mike's thinking about now is wrong, very sick, but she could not help himself. 14 1, 1, 2, 3, 1, 2, 1, 1, 2, 3, 4, 1, 2, 2, 1, 3 1.875
+MOP4 zh Right now, Kendall does not return in the aristocratic Everton , he knew seven years ago. 15 1, 2, 2, 1, 1, 2, 1, 1, 2, 2, 3, 2, 2, 2, 2 1.73333333333
+MOP4 zh Australia would be glad , if they meet reopen Panguna , one of the world 's largest copper mine . 16 2, 2, 3, 2, 2, 2, 3, 1, 3, 2, 3, 2, 1, 3, 3, 2, 2 2.23529411765
+MOP4 zh It is projected to fall to 15% in April . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4 3.85714285714
+MOP4 zh Although the net assets grew 35% to £ 458 million Stanhope , the city unmoved department . 14 1, 2, 1, 2, 2, 4, 1, 1, 2, 3, 2, 1, 1, 2 1.78571428571
+MOP4 zh Because the source is not rich , not so generous than the river has dried up ? 15 1, 3, 1, 3, 1, 1, 2, 2, 2, 1, 3, 2, 1, 1, 2, 1 1.6875
+MOP4 zh Now C- and Ku-band , 4GHz to 6GHz and 11GHz of the to 14GHz, large-scale use . 15 1, 1, 1, 2, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1 1.25
+MOP4 zh I'll be back again next weekend , we can plan . 9 3, 4, 3, 3, 4, 3, 4, 4, 4, 3, 3, 4, 3, 1, 3, 4, 3 3.29411764706
+MOP4 zh These aspects of political choice is still important, but not so now than in the past . 16 3, 4, 1, 1, 3, 2, 2, 2, 4, 3, 4, 3, 2, 2, 2, 4 2.625
+MOP4 zh She makes you look a bit of a fool in front of anyone else who is looking . 17 3, 3, 1, 3, 4, 4, 2, 4, 4, 3, 4, 3, 2, 3, 3, 4 3.125
+MOP4 zh Northeast last night, a group of businessmen and women , said the Conservatives do not trust the commercial vote yesterday . 19 3, 3, 2, 3, 3, 1, 2, 2, 2, 2, 3, 2, 1, 1 2.14285714286
+MOP4 zh Evolutionary theory best explanation of the problem to make inferences. 10 4, 2, 2, 2, 2, 2, 2, 1, 2, 3, 2, 2, 2, 2, 4, 2, 1 2.17647058824
+MOP4 zh Learn how to change things better , rather than just learning to adapt to the way things are now, how do ? 20 1, 2, 2, 1, 1, 1, 2, 2, 1, 3, 3, 2, 4, 1, 1 1.8
+MOP4 zh But we thought - everyone thought - she would turn to her marriage , it would be the end of it . 18 2, 2, 3, 1, 3, 3, 4, 4, 1, 2, 3, 2, 2, 3, 4 2.6
+MOP4 zh Personnel manager at universities and research resources management has joined the company as a production line manager . 17 2, 2, 1, 4, 4, 3, 2, 3, 3, 2, 2, 3, 3, 1, 3, 3, 2, 3 2.55555555556
+MOP4 zh System of rules for the rest mass of the main remedies include the introduction of what we call ' the variation . 20 1, 2, 3, 2, 2, 1, 2, 1, 2, 4, 1, 2, 2, 1, 3, 4 2.0625
+MOP4 zh Now a lot depends on how active role in the United States is ready to play along the Egyptian Israeli annoyance response to a recommendation . 25 3, 1, 2, 2, 4, 4, 2, 1, 2, 1, 2, 2, 3 2.23076923077
+MOP4 zh Sometimes , I do not know how he passed his 0 , "" Dad said , we climb over the pebbles and out of the village . 22 1, 1, 3, 3, 2, 4, 3, 2, 2, 3, 4, 3, 1, 3, 3, 1 2.4375
+MOP4 zh In the Capitol , crying to go: "" burn it down . 9 2, 1, 1, 1, 2, 3, 2, 1, 2, 1, 2, 2, 1, 2, 4 1.8
+MOP4 zh This is more representative of the nature of R & D projects than is often the result of a single day PERT program. 22 4, 3, 4, 4, 2, 4, 3, 2, 3, 4, 4, 4, 3, 3, 4 3.4
+MOP4 zh The meeting , one community participants , indicating that the best path for dialogue to overcome their differences . 16 3, 1, 1, 1, 2, 2, 1, 3, 1, 3, 1, 3, 1, 2, 1, 4, 1 1.82352941176
+MOP4 zh These involve more open and distance learning and the creation of photocopying and electrocopying, ' custom ' package materials for students . 19 2, 2, 2, 2, 1, 2, 3, 3, 4, 2, 3, 2, 2, 2, 2 2.26666666667
+MOP4 zh It seems impossible that anyone could be the middle of that storm leaves to survive. 15 3, 2, 1, 4, 1, 1, 2, 1, 2, 3, 3, 1, 1, 2, 2 1.93333333333
+MOP4 zh When women once a month for three consecutive nights, moonlight artificial cycle become synchronized rhythm of the moon . 18 1, 1, 1, 2, 2, 1, 1, 2, 4, 1, 1, 1, 1, 1, 2, 2, 1, 1 1.44444444444
+MOP4 zh Admittedly , he was not driven by the same pious mercenary ambitions , some of his colleagues , as far as possible to seek artistic satisfaction . 23 1, 1, 2, 1, 3, 3, 1, 2, 3, 1, 1, 2, 1, 2, 3, 3, 3 1.94117647059
+MOP4 zh Adequate supply of snow , on this issue we have a special section for those of you who want to get the ski slopes . 23 3, 3, 3, 2, 2, 2, 3, 3, 4, 1, 2, 4, 1, 3, 3, 4 2.6875
+MOP4 zh In other words, the generalist administrator called economists , statisticians, and other information, but who it is 'top' generalists . 17 2, 1, 1, 1, 1, 3, 2, 1, 3, 1, 2, 2, 3 1.76923076923
+MOP4 zh You are afraid, you two , I may be found in all of the mother is not dead , is not it ? 20 2, 2, 1, 1, 1, 2, 3, 1, 1, 1, 1, 1, 1 1.38461538462
+MOP4 zh The SORP recommended that local authorities and examples of accounting policy review . 12 2, 1, 1, 2, 1, 3, 3, 1, 1, 2, 3, 2, 2, 1, 2 1.8
+MOP4 zh Decided that he must once again the tide of the game , he began to despair of tedious running trough of breakwaters along the edges. 24 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 3, 1, 1, 2, 1, 3 1.4375
+MOP4 zh Birds can cause serious health risks for people who eat them in North Africa and Southern Europe . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 2, 4 3.8125
+MOP4 zh In this case , you can profit from a gallon by multiplying the daily average net goodwill numbers. 17 3, 3, 2, 2, 4, 4, 2, 3, 1, 1, 2, 3, 1, 3, 2, 3 2.4375
+MOP4 zh This is a natural sheltered basin , along the undulating meadows Comer , a trick . 13 2, 1, 2, 1, 3, 2, 1, 2, 2, 3, 2, 1, 1, 2 1.78571428571
+MOP4 zh This course provides basic communication theory, comprehensive training , especially for the case of Africa . 14 4, 4, 2, 2, 3, 4, 4, 4, 4, 4, 3, 2, 2, 2, 4 3.2
+MOP4 zh Then, slowly at first, he began to prepare the little boy , all of this possible fate. 16 3, 3, 2, 2, 1, 3, 2, 3, 3, 2, 2, 2, 3, 2 2.35714285714
+MOP4 zh My German is working like a dream , like a brilliant robot , you turn and step back and admire , because it is all the hard work . 25 2, 2, 2, 4, 3, 2, 4, 4, 2, 2, 1, 3, 2, 2, 3 2.53333333333
+MOP4 zh Jess - her blunt with Samson's hand contact , because she coiled round - bite him one . 14 1, 1, 1, 1, 1, 2, 3, 1, 1, 1, 3, 1, 1, 1, 2, 1 1.375
+MOP4 zh A good deal , gave me the feeling that I have been for a good seven-day Bahamas itinerary . 17 1, 2, 2, 1, 3, 3, 1, 4, 2, 2, 3, 2, 1, 3, 2, 1 2.0625
+MOP4 zh Skiing, because it is excellent for horizontal jumps , the Mavericks get stretched and you posture, balance and coordinated development. 19 3, 3, 1, 1, 1, 1, 4, 1, 2, 1, 3, 2, 1, 1 1.78571428571
+MOP4 zh On this site on any earlier round of pit However, both have been pulled down and rebuilt , or expand into new wheels. 22 1, 1, 1, 1, 3, 3, 4, 2, 3, 3, 3, 1, 1 2.07692307692
+MOP4 zh North Harbour coach Brad Meurant , said: "" Everyone is helping his teammates . 11 4, 3, 2, 4, 3, 3, 4, 3, 4, 4, 3, 3, 3, 3, 2, 4 3.25
+MOP4 zh Martha has leaped to the top of this slot , Shell second and Glaxo third . 14 3, 3, 4, 4, 4, 4, 2, 3, 3, 3, 4, 3 3.33333333333
+MOP4 zh Height inflatable originated in the upper mantle magma eruption produced a small shallow pit called Mars . 16 1, 2, 3, 1, 4, 1, 1, 2, 2, 3, 1, 1, 2, 2, 1, 1, 1 1.70588235294
+MOP4 zh Long-term economic growth, changes in the expected rate of return risk . 11 2, 2, 2, 2, 2, 1, 3, 3, 3, 2, 2, 2, 2, 4, 4 2.4
+MOP4 zh She stood at the door of the elevator with other visitors at the hospital 's main entrance. 16 3, 3, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.82352941176
+MOP4 zh Similar picture emerges in the female laborers between the total income distribution. 12 2, 2, 4, 4, 3, 2, 3, 3, 1, 3, 2, 1, 3, 3, 3, 3, 3 2.64705882353
+MOP4 zh Lawyers and Legal Executives Society appropriately qualified researcher. 8 4, 1, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 3, 1, 1, 3 1.875
+MOP4 zh They also improve the health and social services, the quality and quantity requirements , the eradication of poverty is all about. 20 1, 2, 2, 2, 2, 1, 2, 3, 2, 2, 2, 2, 2, 2, 1 1.86666666667
+MOP4 zh This command must be submitted to Parliament and December 6, 1977 , where the debate . 14 1, 3, 2, 2, 3, 3, 1, 2, 2, 1, 3, 1, 3, 1, 1, 1, 1 1.82352941176
+MOP4 zh Yes , well, I always thought Augustin in his thoughts is a bit simplistic, "" said William , waspishly him , as if talking about a rival academic . 24 2, 3, 2, 2, 4, 2, 4, 2, 2, 3, 4, 2, 3, 2, 3, 2 2.625
+MOP4 zh Brazilian military trainer aircraft and small civil aircraft export success is quite different origins . 14 1, 2, 1, 2, 1, 2, 3, 2, 3, 2, 2, 1, 4 2.0
+MOP4 zh My people, it says , why should we bother . 8 2, 2, 2, 3, 2, 3, 2, 2, 2, 3, 3, 3, 1, 3 2.35714285714
+MOP4 zh His Royal Highness the Queen 's flight of the aircraft, and took Mrs. Harry Cotterell. 14 1, 2, 1, 1, 1, 1, 2, 3, 1, 1, 2, 1, 1, 1, 1, 2 1.375
+MOP4 zh In the last two years of the war , I was in orbital stations and access each one squadron of my endless pursuit of Pathfinder . 24 4, 1, 1, 1, 1, 2, 2, 3, 3, 4, 3, 4, 4, 2, 1 2.4
+MOP4 zh EC does not care about their national health or education policies. 11 4, 3, 4, 3, 4, 4, 4, 4, 4, 3, 4, 3, 4 3.69230769231
+MOP4 zh Leader makes all the decisions and problem description , I hope they obey no doubt . 14 2, 1, 2, 2, 1, 4, 2, 3, 2, 2, 2, 2, 2, 1, 1 1.93333333333
+MOP4 zh Now I understand why they pay Macaulay Culkin $ $ 300 million - he earned it . 13 2, 4, 4, 4, 4, 3, 2, 4, 4, 3, 2, 4, 3, 4, 3, 4 3.375
+MOP4 zh This time there was a competitor facing children invisible window , so that children can see the chocolate each test . 19 2, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1 1.21428571429
+MOP4 zh It is this string format , we are now open . 9 4, 2, 2, 2, 3, 2, 3, 2, 2, 4, 2, 2, 2, 2, 1 2.33333333333
+MOP4 zh He approved and registered with warm tears when the rebel Achaeus Antiochus III , was brought to his "" hands tied "" ( 8.20.9 ) . 20 2, 3, 2, 1, 1, 3, 4, 1, 2, 2, 3, 2, 2, 2, 4, 3, 3 2.35294117647
+MOP4 zh Who is living in the short term follow-up ( mean ( range ) 19.4 ( 10-33 ) months ) of 18 patients , 14 were still alive in 1992 ( 69 ( 61-83 ) months ) . 25 2, 4, 1, 2, 2, 4, 2, 1, 1, 1, 2, 1, 3, 1, 4, 1 2.0
+MOP4 zh The second method , you can in a foreign language too is a very effective strategy. 15 1, 2, 3, 2, 3, 1, 1, 4, 1, 3, 1, 1, 2, 2, 2, 1 1.875
+MOP4 zh He took the gun and went to the door , check the carriage remains securely tied . 15 2, 2, 3, 3, 2, 2, 3, 2, 2, 2, 4, 2, 2, 4, 3, 2 2.5
+MOP4 zh There are a lot of envelopes and writing paper fingerprint smudges , the only part of Maureen and her father. 19 1, 1, 3, 3, 1, 1, 4, 3, 2, 3, 1, 3, 2, 1, 2, 4, 3, 1 2.16666666667
+MOP4 zh I do not know how many species of trees , perhaps over 1000 . 12 4, 3, 4, 1, 3, 3, 3, 4, 4, 4, 3, 4, 3, 4, 3, 4 3.375
+MOP4 zh Front sliding window , original fireplace , built in single wardrobe , radiator , power points, stripped wood flooring. 15 1, 4, 3, 2, 3, 3, 3, 2, 3, 3, 3, 2, 2, 4, 4 2.8
+MOP4 zh The level of HIV infection worldwide is expected to rise to 2000 15-20,000,000 , including at least three-quarters of the developing world . 21 4, 4, 3, 3, 2, 4, 2, 4, 2, 3, 2, 2, 4, 4, 3, 4 3.125
+MOP4 zh The result has been a few years ago to destroy each dispute progress in health care . 16 1, 2, 2, 4, 3, 3, 1, 4, 3, 1, 2, 2, 4 2.46153846154
+MOP4 zh Wars Housewives ,"" a drama of escape is over, it is less than a minute and a half . 17 2, 3, 3, 1, 1, 3, 4, 3, 2, 1, 1, 2, 1, 3, 1, 2, 2, 3, 3 2.15789473684
+MOP4 zh Laughter in his eyes sparkling as he met her belligerent stare . 11 1, 1, 3, 3, 4, 3, 3, 3, 4, 3, 3, 4, 4, 4, 2, 4, 4 3.11764705882
+MOP4 zh They are just minutes away from the train station , the service is frequent . 13 4, 4, 2, 2, 3, 2, 3, 1, 3, 3, 3, 2, 3, 3, 2, 3, 4 2.76470588235
+MOP4 zh Perhaps the most significant of the three boxing 's all-time greats - Ali, Robinson and Armstrong - born in comfortable circumstances . 18 3, 2, 1, 3, 2, 2, 4, 3, 3, 2, 3, 2, 2, 3, 2 2.46666666667
+MOP4 zh Halifax Building Society , bombers have put their equipment , it is now a pile of rubble. 15 3, 1, 1, 1, 2, 2, 2, 2, 3, 1, 1, 1, 1, 2, 2 1.66666666667
+MOP4 zh Michael Ryan found between deconstruction and Marxism reconciliation . 8 3, 3, 1, 2, 1, 3, 2, 2, 4, 2, 1, 1, 1, 2, 2, 1, 3, 2 2.0
+MOP4 zh There is no other quite like Oxfam catalog Christmas catalog . 10 3, 2, 2, 2, 3, 3, 3, 3, 3, 2, 4, 2 2.66666666667
+MOP4 zh Unless there are more resources to pump , how is this going to happen , "" she said. 15 4, 2, 4, 4, 4, 4, 3, 2, 4, 3, 4, 3, 3, 4, 3 3.4
+MOP4 zh This is a way of thinking and behavior . 8 3, 3, 3, 3, 3, 4, 3, 3, 4, 2, 4, 4, 4, 4, 4, 4, 4 3.47058823529
+MOP4 zh "" Yes, ""she said, simply, a few minutes , they studied each other. 10 2, 3, 2, 1, 3, 2, 2, 3, 3, 1, 3, 1, 2, 1 2.07142857143
+MOP4 zh In a slow surface, two consecutive kills bowler , batsman unwilling to take risks, to break their lines . 17 1, 1, 1, 1, 1, 2, 1, 1, 3, 2, 1, 3, 4, 1, 1 1.6
+MOP4 zh It was Saturday night, they may not come. 8 3, 4, 2, 3, 2, 3, 3, 4, 3, 4, 4, 3, 3, 3, 3, 3 3.125
+MOP4 zh Throughout the discussion of the information provided by the other site is confidential . 13 2, 2, 1, 2, 3, 2, 3, 2, 3, 3, 1, 2, 3, 2, 3, 2, 2 2.23529411765
+MOP4 zh Prime Minister can not safely entrust its consideration, because once developed , these rules will affect the daily lives of 560,000 Britons . 21 4, 3, 2, 2, 4, 3, 3, 4, 4, 2, 2, 2, 2, 3, 2 2.8
+MOP4 zh Somewhere in the silence between them began to emergency calls , continuous loop . 12 1, 2, 1, 1, 2, 1, 1, 1, 3, 1, 2, 1, 1, 1, 1, 2 1.375
+MOP4 zh In some cases remind ( including written and telephone ) . 8 1, 2, 1, 2, 1, 1, 1, 2, 1, 3, 2, 1, 1, 2, 2 1.53333333333
+MOP4 zh Montagu ( 1976 ) has pointed out time and time again , war needed social activities without any internal state relationship aggression . 19 3, 1, 3, 1, 3, 4, 2, 2, 2, 3, 3, 3, 3, 3, 3, 2, 4 2.64705882353
+MOP4 zh This , then, is the theory - but how does it work in practice ? 12 3, 4, 4, 4, 3, 4, 1, 4, 4, 4, 3, 4, 3, 4, 2 3.4
+MOP4 zh However, things may be exempt from those just over the limit angle looks quite different . 15 4, 1, 1, 1, 2, 1, 2, 2, 1, 4, 2, 1, 3, 3, 2, 1, 2, 2 1.94444444444
+MOP4 zh Repeat what they hear , women's rights claims something called the "" Salvador democracy"" is in danger . 15 3, 2, 3, 1, 2, 3, 3, 3, 2, 3, 2, 1, 2, 4, 2, 3 2.4375
+MOP4 zh Thomson Travel including airlines ( backward integration ) and travel chain ( forward integration ) . 11 2, 1, 2, 2, 2, 4, 3, 3, 3, 2, 3, 4, 3, 3, 1, 3, 4 2.64705882353
+MOP4 zh Methodist student has been appointed a new pastor. 8 2, 2, 3, 3, 4, 4, 3, 3, 2, 3, 3, 3, 3, 4, 3 3.0
+MOP4 zh London's historic little house can still be seen as their purpose. 11 3, 3, 1, 3, 4, 3, 2, 3, 2, 2, 4, 2, 1 2.53846153846
+MOP4 zh I summarize the clinical characteristics of these patients . 8 4, 4, 4, 4, 4, 4, 4, 4, 3, 2, 3, 3, 4, 3, 4 3.6
+MOP4 zh Further information from the SS Lange , RSC, Burlington House , Piccadilly , London W1V 0BN. 13 3, 4, 3, 1, 1, 3, 2, 2, 3, 3, 2, 3, 4, 2, 3 2.6
+MOP4 zh Yalishihe 's reaction , often abbreviated as "" Herxheimer reaction , as the proportion of cases , the initial dose for the treatment of syphilis. 20 1, 4, 1, 2, 3, 3, 2, 1, 2, 2, 1, 3, 3, 2, 1, 2 2.0625
+MOP4 zh Ideally , this will not be those who give them the necessary , if there is a vision and support the financial work . 21 2, 2, 2, 1, 2, 1, 2, 2, 3, 1, 2, 2, 1, 1, 3, 1, 3 1.82352941176
+MOP4 zh Looking around the room , ancient, old furniture , I realized that Herbert must be very poor. 15 3, 2, 1, 3, 3, 2, 3, 4, 3, 4, 4, 3, 3, 3, 3, 2, 2, 3 2.83333333333
+MOP4 zh They will be joined by John Tierney and John Kerr . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 zh However, this trophy sitting in Jim 's office in Peel Park , will stay there . 13 4, 3, 3, 3, 4, 2, 1, 3, 2, 3, 3, 3, 4, 3, 4 3.0
+MOP4 zh Leeds and Swiss Protein database search did not homologous with any other protein to detect any significant similarities. 18 1, 2, 2, 2, 2, 3, 2, 3, 1, 3, 2, 1, 3, 2, 2, 3 2.125
+MOP4 zh Ranchers , who see themselves as guardians of the west that grazing and feed produced economic stability of the country. 19 3, 4, 1, 3, 2, 1, 2, 3, 1, 3, 2, 2, 2, 3, 3 2.33333333333
+MOP4 zh In the fourth century , the man was buried here . 9 4, 3, 4, 4, 3, 4, 4, 4, 4, 3, 4, 3, 4, 4, 3 3.66666666667
+MOP4 zh They began to question , they began to dream. 8 4, 4, 3, 4, 3, 4, 3, 4, 4, 3, 3, 4, 2 3.46153846154
+MOP4 zh Steve Jones ( Jones zealous Christian , he said, particularly in relation to ) : ""Many people simply uncomfortable, some of the"" super- religious ""No matter how you call it . 24 1, 3, 2, 1, 2, 3, 1, 1, 4, 3, 1, 2, 3, 1, 1, 2 1.9375
+MOP4 zh Lorne plateau formation of Devonian andesitic lavas and tuffs , with contemporary Lagalochan invasion and mineralization is not integrated overlying Dalradian schist . 21 1, 1, 1, 2, 3, 1, 3, 2, 1, 2, 2, 1, 1, 3 1.71428571429
+MOP4 zh He looked up at阿瑟尔斯坦, his face filled with pride. 9 3, 4, 1, 2, 3, 1, 1, 4, 2, 2, 1, 3, 1, 4, 4 2.4
+MOP4 zh She is used to driving a luxury Saab this time, although she was quite frightened first responsibility . 17 1, 2, 2, 2, 2, 1, 1, 4, 1, 1, 3, 2, 2, 1, 3 1.86666666667
+MOP4 zh We want to give children positive memories, they can learn from difficult times at home to build a better country . 20 2, 4, 2, 4, 4, 2, 3, 4, 3, 2, 3, 3, 3, 3 3.0
+MOP4 zh Motorola Gets Off in the battle with old rivals , the price POWERPC price beat Pentium gloves 16 3, 2, 1, 4, 1, 3, 1, 3, 2, 1, 1, 1, 2, 1, 2, 2, 3 1.94117647059
+MOP4 zh Thought a lot about this issue the popular assumption that it is wrong . 13 2, 2, 3, 2, 2, 2, 1, 2, 2, 2, 3, 3, 2, 2, 3, 2 2.1875
+MOP4 zh Mutalibov said that from his hiding place in Russia, "" Izvestia"" , allegations of political persecution. 14 2, 2, 1, 1, 1, 3, 1, 3, 3, 3, 2, 2, 2, 1, 2, 2, 2 1.94117647059
+MOP4 zh Commercial Union market model to explain the return rate of 25 % of the variance . 14 1, 1, 2, 2, 4, 3, 4, 3, 4, 2, 3, 2, 2, 2, 4, 3 2.625
+MOP4 zh My claim , I assure you , will be our common interests. 10 3, 3, 3, 4, 4, 3, 3, 4, 3, 2, 4, 2, 3, 3, 4, 3 3.1875
+MOP4 zh Only in the Gospel of John , he makes an interesting curiosity and profound statement . 14 3, 3, 1, 3, 4, 2, 2, 4, 3, 3, 1, 3, 4, 2, 4 2.8
+MOP4 zh The day they return home repair and construction work, in an army base in Omagh . 15 2, 1, 1, 1, 2, 1, 1, 2, 2, 3, 1, 1, 2, 1, 1, 1, 2, 1 1.44444444444
+MOP4 zh Best Hotel which are all first world ordered calm : state of the art swimming pool , satellite TV and a chocolate on the pillow at night . 25 1, 1, 2, 2, 1, 2, 4, 2, 3, 2, 4, 1, 3, 2, 1 2.06666666667
+MOP4 zh In an area of four pavilion roof burned. 8 2, 1, 4, 1, 1, 2, 2, 1, 1, 2, 3, 2, 1, 4, 1 1.86666666667
+MOP4 zh I find it strange , extending the hand of friendship and economic cooperation between our countries the same mass extinction threat. 20 2, 1, 2, 3, 1, 2, 1, 4, 3, 4, 2, 1, 2, 2 2.14285714286
+MOP4 zh Building was converted into a gallery , and successful bohemian arts by the FRANTISEK CuBr and Joseph Pilar, in the 1960s . 20 1, 3, 3, 1, 1, 2, 3, 3, 2, 1, 1, 1, 4, 3, 1, 2, 4, 3 2.16666666667
+MOP4 zh But another part of the opposition simple idea that she is someone else's wife cried out . 16 1, 3, 1, 4, 3, 1, 2, 1, 3, 1, 1, 1, 2, 2, 2, 1, 1 1.76470588235
+MOP4 zh These issues or investigations are expected to be diverse. 9 4, 4, 4, 3, 4, 4, 2, 4, 4, 4, 3, 3, 3, 4, 4 3.6
+MOP4 zh August 1975 and December 1978 among five COS-B satellite observations 2CG342 - 02 and prepared for the tenth strongest γ -ray source . 19 1, 2, 1, 4, 3, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1 1.52941176471
+MOP4 zh We sent a rescue team , because we can as soon as possible , but it was too late, "" he said. 19 1, 2, 1, 3, 3, 2, 1, 2, 3, 3, 2, 1, 2, 2, 3, 1 2.0
+MOP4 zh Not like a Saturday night , though not really . 8 2, 2, 1, 3, 2, 4, 2, 4, 3, 3, 3, 1, 1, 3, 3 2.46666666667
+MOP4 zh I should add that in the debate , he also invited my attention , 5 ( 7 ) , I will refer to : 18 3, 2, 1, 1, 1, 3, 4, 1, 2, 1, 3, 1, 1, 2 1.85714285714
+MOP4 zh On one occasion, I'm glad I copy, mirror image, in the image at the top and bottom of a group . 20 1, 4, 2, 1, 1, 1, 2, 3, 2, 1, 3, 1, 2, 1, 1, 2, 2 1.76470588235
+MOP4 zh Since then , the double helix path is clear. 8 4, 3, 4, 4, 4, 2, 3, 4, 4, 3, 3, 4, 3, 2, 4, 3, 3 3.35294117647
+MOP4 zh Sun also prepared eight SPARC desktop scorpion in Sunworld show launched on May 11 . 14 1, 3, 4, 2, 2, 2, 3, 2, 2, 2, 3, 2, 3, 2, 1, 2, 1 2.17647058824
+MOP4 zh Therefore , political and economic accounting costs and benefits of soil and water conservation programs outside the area directly affected other potentially relevant . 22 2, 1, 2, 4, 2, 1, 1, 1, 4, 3, 1, 2, 3, 4, 2, 3, 3 2.29411764706
+MOP4 zh He further agreed on the need to re- neighborhood police station and put more emphasis on community policing it ? 19 2, 1, 1, 3, 2, 3, 2, 2, 2, 2, 1, 2, 3, 3, 2, 3, 4 2.23529411765
+MOP4 zh Since then, it has been keenly followed by as many full-length TV shows. 13 3, 3, 3, 3, 3, 3, 4, 3, 2, 3, 4, 4 3.16666666667
+MOP4 zh Mailed surveys to not return , and refused to be interviewed . 10 2, 1, 1, 2, 3, 2, 1, 1, 2, 3, 1, 2, 2 1.76923076923
+MOP4 zh I ran dangerously close to the edge twice dazzled my eyes and drooping eyelids . 14 1, 2, 2, 2, 1, 3, 3, 2, 4, 3, 3, 4, 2, 2, 2 2.4
+MOP4 zh This operation will eventually involve from at least nine countries, more than 35,000 troops . 14 3, 2, 2, 2, 2, 3, 3, 1, 1, 3, 2, 4, 4, 2, 2, 3 2.4375
+MOP4 zh The user interface will no longer just a requirement of physical or marketing department USL. 15 1, 2, 1, 2, 3, 3, 2, 2, 2, 2, 3, 4 2.25
+MOP4 zh Of course explains how to resolve before the game , it is worth looking forward to is what makes a sailor to go faster than another . 25 1, 1, 2, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1 1.23076923077
+MOP4 zh While watching his features , if they've carved from stone , something stirred deep in his eyes . 15 2, 2, 2, 4, 1, 2, 1, 1, 3, 3, 3, 2, 2, 3, 3, 1, 1 2.11764705882
+MOP4 zh However, in these two issues, the situation has undergone a fundamental change, compared with 1979 . 15 3, 4, 4, 4, 4, 3, 3, 4, 4, 4, 3, 4, 4 3.69230769231
+MOP4 zh I can not hear any sound, "" the priest said angrily . 10 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4 3.88235294118
+MOP4 zh We may never know the exact number of deaths . 9 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4, 3, 4, 4, 4 3.76470588235
+MOP4 zh 17 April and 18 May , respectively, were rejected . 8 4, 4, 4, 3, 3, 1, 3, 3, 3, 2, 3, 4, 2, 4 3.07142857143
+MOP4 zh Women , Art and Society is a comprehensive work has been progress in the 20 -year-old women and the visual arts. 19 3, 3, 2, 3, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 4 1.73333333333
+MOP4 zh He paid no less than 22 established only in Pembrokeshire charity school. 12 2, 1, 1, 2, 3, 2, 1, 2, 1, 2, 2, 2, 1, 1, 2 1.66666666667
+MOP4 zh Soil pipe bending deformation during the earthquake , though they were stranded copper wire . 13 3, 2, 2, 2, 1, 1, 2, 1, 3, 1, 2, 4, 1, 4, 1, 1, 2 1.94117647059
+MOP4 zh Within a few days , his campaign , he already knows , this ' new Pentecost ' way to achieve Ecumenical Council . 17 1, 3, 1, 1, 2, 2, 2, 2, 3, 1, 1, 2, 2, 2, 2, 3, 2 1.88235294118
+MOP4 zh To follow Jesus as a disciple means that we also face opposition like him life. 15 1, 2, 1, 2, 2, 2, 2, 2, 4, 2, 3, 2, 4, 1, 4, 4, 3 2.41176470588
+MOP4 zh He ran into the damp turf wheels , machine crumpled and fell to his knees like an animal shot in the chest . 21 1, 2, 2, 3, 3, 3, 3, 1, 1, 4, 2, 3, 1, 3, 4, 2, 1 2.29411764706
+MOP4 zh Jenna stopped angrily confront him, but before she could speak he tilted her face with a strong brown hands. 19 3, 2, 1, 1, 1, 4, 3, 2, 2, 2, 2 2.09090909091
+MOP4 zh Grainne said: "" I look at you , "" gently , "" I do not see funny. 12 1, 3, 2, 4, 2, 2, 2, 3, 3, 2, 3, 1, 2, 2 2.28571428571
+MOP4 zh The next day, 252 new squadron arrived Beaufighters (T3237) on a Ju88, and be mistaken for the local flight . 18 1, 2, 1, 1, 1, 2, 1, 1, 2, 3, 1, 1, 1, 1, 1, 1 1.3125
+MOP4 zh Carrington looked at sea in the first two hours , fascinated by the Scandinavian night, then went to sleep . 18 3, 4, 2, 4, 4, 4, 3, 4, 4, 4, 4, 3, 3, 3, 3, 3 3.4375
+MOP4 zh It was originally developed for sudden infant death records , there is no inspection , but is now an inquiry . 18 3, 1, 3, 2, 2, 2, 2, 3, 3, 3, 3, 2, 2, 2 2.35714285714
+MOP4 zh The composition of your shot rule has grown up, although seemingly random, actually work well in practice one of these areas . 21 2, 2, 1, 2, 1, 1, 1, 2, 2, 3, 2, 1, 1, 2, 3 1.73333333333
+MOP4 zh This is a far cry from the gold horizon Municipal Court . 11 3, 4, 4, 4, 3, 4, 3, 3, 3, 3, 3, 3, 3, 4 3.35714285714
+MOP4 zh Politics in this sense , if I put you in this glass of water in an interview with reporters , it would be a political act. 24 2, 3, 1, 2, 1, 2, 3, 2, 1, 1, 1, 2, 2, 1 1.71428571429
+MOP4 zh Sections 18 and 20 in that the main difference between the failed component , this is a very big difference. 19 2, 1, 2, 1, 1, 2, 3, 2, 3, 1, 1, 1, 1, 2, 1, 2, 2 1.64705882353
+MOP4 zh Robbie now see that he was a priest. 8 1, 2, 2, 2, 1, 2, 2, 3, 2, 2, 2, 2, 4, 1, 2 2.0
+MOP4 zh Until a government commission has arrived in Moscow , Boris Shcherbina 's vice president of the Council of Ministers to prohibit evacuated Chernobyl surrounding countryside. 23 4, 2, 1, 2, 2, 3, 3, 3, 1, 2, 2, 1, 1, 4 2.21428571429
+MOP4 zh Santarem Virgin Mary will always be reunited with their owners , there is a tradition in our family , you know ? 19 3, 1, 2, 1, 3, 3, 1, 3, 4, 3, 2, 1, 3, 3, 2, 3, 2 2.35294117647
+MOP4 zh Since it is a beta version , it's tricky to ClarisWorks star rating. 12 2, 1, 2, 1, 1, 1, 3, 1, 3, 3, 2, 1, 1, 2, 4, 2, 1, 2 1.83333333333
+MOP4 zh She had to do was get a good night's sleep . 10 1, 3, 1, 2, 2, 2, 2, 1, 2, 3, 1, 1, 2, 2, 2 1.8
+MOP4 zh During the four days of each treatment Intraoesophageal pH value and the movement were investigated. 15 3, 3, 4, 4, 4, 4, 4, 1, 2, 4, 3, 2, 3, 4, 3, 3, 4 3.23529411765
+MOP4 zh All credit Gavin gave me the ball in the end, a little bit of persuasion . 15 2, 2, 1, 1, 1, 2, 2, 3, 2, 1, 2, 2, 1 1.69230769231
+MOP4 zh 1798-9 prelude to winter in Germany during writing the first draft . 11 3, 2, 1, 1, 3, 3, 3, 2, 1, 2, 1, 2, 2, 2, 2, 4, 2 2.11764705882
+MOP4 zh Criminal trial is not a court leads to the truth. 10 3, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 2, 4 1.69230769231
+MOP4 zh They came to enjoy the kind of real understanding twins . 10 2, 1, 3, 3, 2, 3, 3, 1, 2, 3, 2, 3, 2, 4, 2 2.4
+MOP4 zh 'Harbury criminal acts, ""a voice said,"" He have any comments ? 8 1, 1, 2, 1, 1, 3, 3, 1, 1, 2, 1, 2, 3, 2, 2, 2 1.75
+MOP4 zh Dustin neat Beatles cut slightly disheveled , with a mole on his right shoulder, close-up . 14 1, 1, 1, 1, 1, 1, 2, 2, 2, 1, 1, 3, 1, 1, 1, 1 1.3125
+MOP4 zh The bare facts "" headdress full of straw 'to after all the most absurd poetic word , which means that the speaker's weaknesses. 20 1, 3, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1 1.22222222222
+MOP4 zh I think this is some weirdo , when I asked who was calling the voice shouted: 'This is mine ! 17 1, 3, 2, 3, 3, 4, 3, 3, 2, 4, 3, 3, 3, 3, 2, 3 2.8125
+MOP4 zh I should not , "" the waiter said , but then smiles . 9 4, 2, 4, 3, 1, 2, 2, 2, 4, 3, 2, 3, 4 2.76923076923
+MOP4 zh Ah , this is not a bad idea , what is it ? 10 3, 3, 2, 3, 1, 3, 2, 2, 4, 3, 2, 3, 2, 3 2.57142857143
+MOP4 zh He wrote that the beauty of glass , is such that the surface is not covered . 15 4, 3, 4, 4, 2, 3, 3, 4, 2, 4, 3, 4, 2, 3, 3, 4 3.25
+MOP4 zh Cougars die last used about 8 years ago, in the past its best ; he suggested Mirage similar cougar . 18 2, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 2, 3, 2, 1, 1 1.47058823529
+MOP4 zh Brigadier said: ""I still have a word , ' withdrew his head , and opened the door . 13 4, 1, 4, 3, 3, 4, 3, 2, 3, 4, 2, 2, 1, 3, 4, 3 2.875
+MOP4 zh In these days , some of the slogans and ideas , from the "" Democracy Wall "" 1978-79 and received a brief hearing. 19 1, 1, 1, 2, 2, 2, 3, 3, 3, 2, 1, 3, 2, 1, 3 2.0
+MOP4 zh If I got it another couple shilling , no I earned it ? 11 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 3, 3, 1, 1, 1 1.4
+MOP4 zh He turned, cold , stiff, anxious to see a young man with blond hair , short hair, worried eyes and face pock-marked . 20 4, 2, 2, 3, 4, 1, 3, 1, 3, 3, 2, 4, 1, 2, 2, 4, 2, 2 2.5
+MOP4 zh To fill the gaps, identifying immediate follow-up inquiries and pay attention. 11 4, 3, 1, 1, 2, 1, 2, 3, 1, 1, 2, 2, 2, 3, 2 2.0
+MOP4 zh Another team of genetic scientists spray is described as a very exciting development , Dr. Zhu Liya DORIN. 17 3, 2, 1, 2, 1, 4, 2, 2, 2, 4, 2, 1, 2, 2, 1 2.06666666667
+MOP4 zh Old highway yard Rigby Road and rail links , seems to offer an ideal site . 14 2, 2, 4, 3, 4, 3, 1, 3, 2, 2, 1, 4, 2, 4, 3 2.66666666667
+MOP4 zh Chong Jodami wild dancing together last , Jodami discovered a crucial extra equipment while walking . 14 2, 1, 1, 2, 2, 1, 1, 1, 3, 1, 1, 2, 2, 2, 1, 1 1.5
+MOP4 zh You can see the coexistence of private affluence and corporate poverty ? 11 3, 2, 3, 4, 4, 3, 3, 1, 3, 4, 3, 4, 2, 3, 2, 4, 3, 3 3.0
+MOP4 zh Jay drawled phrase , as she waded through pubbed and pestle hung over morning coffee and endless cigarettes, ""I am a night owl , honey . 22 2, 1, 2, 1, 2, 3, 1, 3, 4, 3, 1, 2, 1, 4, 2 2.13333333333
+MOP4 zh No and controversy that Cadfael, watching from where he retired some anxiety . 12 1, 1, 1, 1, 1, 3, 1, 3, 1, 1, 1, 2, 2, 1, 1 1.4
+MOP4 zh Ardakkeans say is that most life-threatening superhumanly strong and invulnerable . 10 2, 2, 2, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 2, 1 1.35294117647
+MOP4 zh She passionately writes: These words , said to him: 8 2, 2, 1, 2, 3, 1, 2, 3, 2, 2, 3, 3, 1, 1, 3 2.06666666667
+MOP4 zh Villagers fight to stop the sale of the ancient common 10 4, 3, 1, 2, 3, 3, 3, 3, 4, 4, 3, 3, 2, 2, 2, 1 2.6875
+MOP4 zh Road , which seems a very long way to go , but I only have to walk a kilometer away across the fields on the farm. 24 3, 1, 2, 3, 1, 2, 3, 3, 3, 1, 2, 3, 4, 2, 1 2.26666666667
+MOP4 zh Notes from the underground and it is precisely such a fable, invisible consciousness. 13 1, 1, 2, 1, 1, 1, 3, 1, 2, 2, 3, 1, 2, 1, 1, 1, 2 1.52941176471
+MOP4 zh We got our crew and Robin sitting in front of our rushes. 12 3, 2, 3, 1, 1, 3, 3, 2, 4, 3, 4, 2, 2, 3, 3 2.6
+MOP4 zh Saddam is expected in the West humiliation, anger , the Arab masses to rise up against their pro-Western leaders. 18 3, 1, 2, 1, 1, 3, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2 1.47058823529
+MOP4 zh Some of America 's most powerful people are worried sick after New York's most notorious lady, an address book, belongs to theft. 21 3, 1, 1, 2, 1, 2, 2, 1, 3, 1, 1, 2, 1, 3, 1 1.66666666667
+MOP4 zh Science Museum director , Neil Cossons , confident you can restore the old number. 12 2, 2, 1, 1, 2, 2, 3, 2, 3, 1, 3, 1, 1, 1, 1, 3, 1, 2 1.77777777778
+MOP4 zh However, take special reasons, such as illness missed exam retake exams are usually allowed to count to win the full mark . 21 1, 3, 2, 1, 2, 2, 3, 3, 1, 2, 3, 2, 2, 2, 2, 1, 4, 1, 1 2.0
+MOP4 zh Comparing the electrical systems - Part 1 ( November 1991 No. ) of the pure string phone , it would be a good exercise. 20 4, 2, 3, 1, 4, 4, 4, 4, 2, 1, 3, 1, 1, 2, 1 2.46666666667
+MOP4 zh AID trip , giving her pupils in a third world poverty and fear 12 2, 1, 1, 1, 1, 1, 1, 2, 1, 2, 2, 1, 3, 1, 1, 1, 1, 1 1.33333333333
+MOP4 zh She noticed his fingers trembling, her anger subsided , replaced , not by a wild optimism of hope. 16 2, 2, 3, 3, 2, 2, 2, 2, 2, 2, 4, 2, 4, 4, 3, 3 2.625
+MOP4 zh In quantum mechanics jargon , this choice behavior is known particles obey statistics . 12 3, 3, 2, 1, 3, 1, 3, 1, 4, 4, 4, 3 2.66666666667
+MOP4 zh You can manually format your spreadsheet , or design your own speedformat program . 12 3, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 3 3.66666666667
+MOP4 zh Him to arrange more actors to the crew of some private pocket money , and the film to his assistant. 19 1, 3, 2, 1, 1, 2, 1, 1, 1, 1, 3, 2, 1, 1 1.5
+MOP4 zh , CELIA almost welcomed the idea of going to work . 9 4, 4, 3, 4, 4, 4, 3, 4, 3, 3, 3, 3, 3, 4, 4, 3 3.5
+MOP4 zh I can only assume my name respected associations, he thought it might quell criticism of what might be called Athenaeum sector . 21 1, 2, 2, 2, 2, 1, 2, 3, 1, 1, 2, 1, 2, 3 1.78571428571
+MOP4 zh It so happened that on the 5th Air School from the mine during the Boer War Churchill hiding not far away, "" Clifford recalls . 23 1, 1, 1, 1, 1, 2, 3, 1, 3, 2, 3, 1, 1, 1, 1 1.53333333333
+MOP4 zh I really enjoy working with digital things , such as how much I need to buy wallpaper or carpet 18 2, 2, 3, 2, 3, 3, 4, 2, 2, 3, 1, 3, 3, 2 2.5
+MOP4 zh Test in the future not only easier, but it should also be cheaper. 13 3, 1, 3, 3, 2, 3, 3, 2, 3, 3, 3, 3, 4, 3, 2, 4, 1, 2 2.66666666667
+MOP4 zh Then , I turned the picture round , and complete other parties . 10 1, 2, 1, 3, 2, 2, 2, 3, 2, 1, 1, 3, 1, 2 1.85714285714
+MOP4 zh If so, they can share our knowledge, do they ? 9 3, 2, 2, 2, 3, 3, 1, 2, 3, 2, 3, 2, 1, 2, 2, 2, 2 2.17647058824
+MOP4 zh But there is something similar in the Sun . 8 4, 3, 4, 4, 3, 4, 3, 4, 3, 3, 4, 4, 3, 3, 4, 3, 4 3.52941176471
+MOP4 zh U2 last night unveiled its stunning new video interference in a spectacular ceremony in London Planetarium ... 16 4, 2, 3, 4, 4, 2, 4, 2, 4, 3, 4, 2, 2, 4, 4 3.2
+MOP4 zh But Mr. Liggett hopes to lack of space does not result in the future tombs constraints. 16 2, 2, 1, 1, 2, 2, 1, 1, 1, 2, 3, 4, 1, 1, 2, 1 1.6875
+MOP4 zh Who gave me advise my social worker asked me if I wanted adoption or foster care, and I said culture ( white series ) . 22 3, 1, 1, 4, 1, 1, 1, 1, 3, 1, 1, 1, 1, 2, 2, 1, 1 1.52941176471
+MOP4 zh The results clearly show that adult asthma population high prevalence of esophagitis . 12 2, 1, 2, 3, 1, 1, 3, 2, 2, 2, 1, 4, 1, 2, 3, 3, 3 2.11764705882
+MOP4 zh For this reason, it is really only suitable for the manufacture of plywood, it was very successful. 17 3, 1, 1, 1, 2, 4, 3, 2, 3, 3, 3, 2, 3, 1, 3, 3, 1 2.29411764706
+MOP4 zh But I guess they 've got something to point , if they have already established a good road and rail. 18 2, 3, 3, 1, 3, 3, 4, 3, 4, 2, 3, 2, 3, 4, 2 2.8
+MOP4 zh You can tell the disciples do ? "" One reporter asked . 9 1, 1, 1, 2, 2, 2, 1, 2, 4, 2, 1, 1, 2, 1, 2, 3, 2, 4 1.88888888889
+MOP4 zh Tom Frode, teak Knut and Tony waiting for us to arrive. 11 1, 2, 2, 4, 2, 4, 1, 1, 3, 2, 1, 3, 2, 2, 3, 2 2.1875
+MOP4 zh White line , indicating that the body's energy to the electric force can be transferred into a crystal 17 2, 3, 3, 1, 3, 4, 3, 4, 1, 3, 3, 3, 3, 2, 4 2.8
+MOP4 zh Gifts with minimal resources to create a comfortable environment. 9 2, 2, 4, 1, 3, 1, 3, 2, 3, 3, 2, 1, 4, 3, 2, 4, 4 2.58823529412
+MOP4 zh U.S. networks, want to do a television interview . 8 3, 2, 3, 3, 4, 3, 2, 3, 3, 4, 4, 3, 4, 3 3.14285714286
+MOP4 zh Guinness engaged in medical research, health , youth , environment and conservation , employment and business confidence , education and arts organizations to provide financial support . 22 4, 2, 3, 3, 4, 2, 4, 2, 3, 4, 3, 2, 4, 3 3.07142857143
+MOP4 zh A group of Muslim extremists believe her story , the result was terrible. 12 3, 2, 1, 2, 4, 4, 3, 3, 4, 3, 4, 3, 3, 4, 3, 2 3.0
+MOP4 zh Rain will open their campsite mud, fill the reservoir Famagusta . 10 1, 2, 2, 3, 3, 2, 2, 1, 1, 2, 1, 2, 2 1.84615384615
+MOP4 zh The second workshop , design, Napier Polytechnic , design validation event to prepare college staff . 13 1, 3, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 4, 3, 1 1.66666666667
+MOP4 zh Question can be asked Speaker ( see below ) or just throw the players who ( or just throw ) 16 1, 2, 1, 1, 2, 1, 1, 1, 1, 4, 1, 4, 3, 2, 1, 2, 1, 1 1.66666666667
+MOP4 zh The second limiting factor is immediate, but the greater the potential impact . 12 2, 4, 1, 1, 2, 3, 3, 3, 1, 3, 4, 4, 2, 2, 2, 1 2.375
+MOP4 zh In my opinion, she makes all the rules of the game , I'm just still be responsible for implementing . 18 1, 2, 3, 2, 2, 1, 2, 2, 2, 1, 2, 3, 2, 2 1.92857142857
+MOP4 zh After the nest , the male looking for a female . 9 4, 1, 3, 2, 1, 2, 2, 2, 2, 2, 2, 2, 4, 2, 3 2.26666666667
+MOP4 zh The government has planned the inverse process of investment projects through afforestation and sustainable development . 15 4, 4, 4, 4, 3, 3, 4, 3, 3, 3, 3, 4, 4, 3, 4, 4 3.5625
+MOP4 zh He does not deign to compare British and French railways . 10 2, 3, 4, 4, 4, 4, 3, 2, 4, 4, 3, 2, 4, 3, 4 3.33333333333
+MOP4 zh Lay the child on his back , his head , and remove any debris with your fingers in his mouth . 18 3, 2, 2, 4, 2, 4, 1, 2, 4, 3, 2, 2, 3, 4, 1 2.6
+MOP4 zh In return , the church cut a little uncertain figure. 9 1, 2, 4, 3, 3, 3, 4, 4, 3, 2, 2, 1, 3, 3 2.71428571429
+MOP4 zh However, it is almost certain that the offer will be rejected. 11 4, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.86666666667
+MOP4 zh Stoop said Mr. East Germans recently discovered their own strength, without success , Mr. Krenz restore the credibility of the leadership . 20 1, 1, 2, 4, 1, 1, 3, 3, 1, 3, 1, 2, 1, 1, 2, 2 1.8125
+MOP4 zh Leicester is the distribution of the county's unique from bladder cancer in cash rather than accrual . 16 1, 1, 1, 3, 2, 1, 2, 1, 1, 4, 2, 1, 1, 2, 2 1.66666666667
+MOP4 zh It will look good on the beach , under the roof a nice shirt or jacket the next night 's work. 19 3, 1, 1, 1, 2, 1, 3, 1, 4, 2, 2, 1, 2, 1, 1, 1, 1, 2, 1 1.63157894737
+MOP4 zh They also see the traditional and modern Chinese history , literature, philosophy and religion representative works. 15 4, 4, 4, 3, 4, 3, 2, 3, 3, 4, 2, 3, 2, 4, 2 3.13333333333
+MOP4 zh He said that his friends would like to know his secret . 11 4, 4, 4, 4, 3, 3, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.82352941176
+MOP4 zh If you do that, then it's just a man executed , because Jesus' greatest miracle . 14 2, 1, 2, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 2, 1, 1 1.4375
+MOP4 zh She kicked things in the dark , and briefly stopped to pick it up . 13 2, 3, 2, 3, 3, 4, 2, 4, 3, 3, 3, 3, 3, 3, 4, 4, 3, 4 3.11111111111
+MOP4 zh I just came back from India ,"" he announced important . 9 3, 2, 2, 2, 2, 1, 3, 2, 2, 4, 3, 2, 2, 3 2.35714285714
+MOP4 zh It is the sort of place where you find a different object of interest , every time you go back. 19 4, 3, 4, 4, 4, 2, 1, 4, 3, 4, 3, 3, 3, 4, 3 3.26666666667
+MOP4 zh McLaren maintain their lawyers, are reticent Ferguson gregarious. 8 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 3, 2, 1 1.41176470588
+MOP4 zh She vicar before departure of the last attempt . 8 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 1, 1 1.17647058824
+MOP4 zh Airshow : The famous Red Arrows Southport Airshow provides a grand finish . 11 4, 2, 3, 2, 3, 3, 4, 4, 4, 3, 3, 3, 4, 4, 3, 4 3.3125
+MOP4 zh Add grated orange peel and juice , eggs , sugar , cornstarch and ginger . 11 3, 4, 3, 4, 4, 4, 2, 4, 3, 4, 4, 4, 4, 4, 4 3.66666666667
+MOP4 zh Path led them stood there, its stone flags worn and broken , its hidden progress here and there of moss and weeds . 21 4, 1, 1, 3, 1, 2, 1, 3, 2, 2, 3, 1, 1, 1, 1, 2, 1, 1 1.72222222222
+MOP4 zh If there is a referee younger than me , it proves that there has been a real courage . 17 2, 1, 2, 2, 3, 3, 4, 4, 3, 3, 2, 2, 1, 2, 2, 2, 3, 3, 3 2.47368421053
+MOP4 zh Minimum package : some packaging design, in order to reduce waste in the manufacturing process . 14 1, 3, 1, 2, 3, 3, 2, 2, 2, 3, 4, 4, 4, 3, 2, 3, 3 2.64705882353
+MOP4 zh Chicks in Cranston before the race , jumping up and down . 10 1, 3, 2, 3, 2, 2, 2, 3, 2, 3, 3, 2, 1, 3, 1, 2 2.1875
+MOP4 zh I have to peel potatoes MATEY, you have to take the evening surgery, and prepare for your guests . 18 3, 2, 4, 3, 2, 2, 4, 4, 4, 4, 2, 4, 3, 1, 2, 3 2.9375
+MOP4 zh R4 morning , DON Howe said it might be another candidate to take America into the new year . 17 2, 1, 2, 1, 2, 3, 3, 3, 3, 3, 2, 1, 3, 3, 3, 2 2.3125
+MOP4 zh It is the Holy Spirit to arouse the people to pray Messiah methods. 13 2, 2, 3, 1, 1, 1, 1, 2, 3, 2, 3, 1, 3, 2, 2 1.93333333333
+MOP4 zh I'm just sick of wandering and reporters want to know her business. 12 2, 3, 1, 4, 1, 1, 4, 3, 3, 1, 2, 2, 2, 2, 2, 2 2.1875
+MOP4 zh Or, if you walked into her kitchen and interference. 9 2, 2, 4, 2, 1, 1, 2, 1, 3, 1, 1, 2, 1, 1, 1 1.66666666667
+MOP4 zh However, by 1976 , the local council in east London to publicize the advantages of industrial sectors . 16 2, 4, 4, 2, 3, 3, 2, 3, 2, 2, 2, 1, 2, 1, 3, 2 2.375
+MOP4 zh Japanese banks operating in London accounted for 28.5% of total loans , from London , in 1991 , 15% of U.S. banks , other banks 40.7%. 22 3, 2, 4, 2, 2, 2, 3, 2, 4, 3, 4, 2, 3, 4 2.85714285714
+MOP4 zh 'I'm going to die a cup of tea, ""Charlie announced . 8 3, 1, 2, 1, 1, 3, 1, 1, 1, 1, 1, 2, 3, 1, 2 1.6
+MOP4 zh Catherine's mother had to go home the day before, they are due to leave. 14 3, 2, 2, 3, 4, 3, 3, 1, 2, 4, 3, 3, 3, 2, 2, 3 2.6875
+MOP4 zh And hope in the finals for the Twickenham meeting either Kidderminster Carolians or Hitchin . 14 1, 1, 4, 2, 1, 3, 2, 3, 3, 2, 1, 2, 2, 2, 2 2.06666666667
+MOP4 zh This is a Swansea City Council 's decision Judge Michael Evans QC appeal at Swansea County Court Feb. 6, 1991 . 19 2, 3, 3, 1, 3, 3, 3, 1, 2, 1, 2, 1, 2 2.07692307692
+MOP4 zh A sense of well-being , transformation and enlightenment , penetrate into very marrow of his bones . 14 3, 2, 3, 1, 4, 3, 4, 2, 2, 2, 2, 3, 3, 1, 3, 3, 3 2.58823529412
+MOP4 zh - A control sample of respondents who have all three characteristics , a quarter twenty-three . 13 1, 1, 1, 2, 2, 2, 3, 3, 2, 2, 1, 3, 2 1.92307692308
+MOP4 zh Want to know why you - but I should thank Ma mibbe 11 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 4, 4, 1, 1, 1, 2, 1 1.58823529412
+MOP4 zh A bit thick book, details of the Bernese Alps important area swept by the previous book . 16 1, 1, 2, 2, 1, 2, 1, 3, 3, 1, 2, 2, 1, 1, 1, 2, 1 1.58823529412
+MOP4 zh Perched on the roadside speakers booming out , thunderous bars and shops , every corner has its own sound system. 18 1, 2, 2, 2, 1, 3, 3, 2, 4, 3, 1, 2, 2, 3, 3, 3 2.3125
+MOP4 zh Early , intense honey flavor, lovely flowers, golden yellow interior, but the pure gray-purple , dark stripes on the outside . 18 2, 1, 1, 2, 3, 1, 4, 2, 3, 3, 1, 1, 2, 3 2.07142857143
+MOP4 zh Young people's knowledge of the harmful effects of smoking are quite large, those who take to quit smoking do so purely out of ignorance . 24 3, 2, 1, 3, 3, 3, 3, 2, 3, 3, 2, 2, 3, 1, 3, 1, 2, 1 2.27777777778
+MOP4 zh Then they do not say where they are , if they are wise. 12 3, 4, 4, 1, 3, 3, 3, 3, 4, 3, 3, 3, 3 3.07692307692
+MOP4 zh Series of annual revenue grew 24 percent to $ 1.6 billion . 10 3, 3, 2, 3, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 3 3.46666666667
+MOP4 zh Gwyneth Dunwoody said that we secretly dismantling health services and outsourcing Roy Hattersley garbage collection old people like haltingly . 19 2, 2, 1, 1, 1, 1, 2, 3, 1, 3, 1, 3, 1, 1, 1, 1 1.5625
+MOP4 zh May be a person for another woman left his wife and children to get off, no scars do ? 18 2, 1, 4, 1, 1, 1, 4, 1, 1, 1, 4, 4, 4, 2, 2, 1, 1 2.05882352941
+MOP4 zh If the French should take them to see if they point out men, they might send them to their care . 20 1, 3, 2, 2, 2, 1, 2, 3, 1, 2, 3, 3, 4, 2, 1, 2 2.125
+MOP4 zh Cats Protection League Bazaar , Parliament House , the Royal Baths Assembly Rooms, Crescent Road . 13 1, 3, 1, 2, 1, 4, 3, 3, 3, 1, 1, 3, 4, 1, 4, 1 2.25
+MOP4 zh Their findings are worrisome impact 600,000 people have been affected by the release of radiation considered . 16 2, 1, 2, 3, 4, 2, 3, 2, 1, 2, 3, 2, 1, 2 2.14285714286
+MOP4 zh After a consequence of these factors has led to community care at times defined as "" ambulatory care "" ( Parker, 1990 ) . 19 3, 2, 3, 1, 3, 3, 4, 2, 2, 1, 3, 2, 3 2.46153846154
+MOP4 zh Viol attempt stopped , but the driver ignored him . 8 3, 2, 1, 2, 2, 2, 4, 2, 1, 1, 4, 1, 1, 2, 1, 1 1.875
+MOP4 zh Graphical programming tools , application programming interfaces and cross-application macro facility will also be provided . 14 3, 4, 4, 4, 3, 4, 4, 3, 3, 3, 3, 4, 2, 4 3.42857142857
+MOP4 zh Third, the uncertainty surrounding the future of the industry now . 10 2, 1, 3, 3, 2, 3, 3, 3, 4, 2, 2, 2, 2, 2, 3, 3, 1 2.41176470588
+MOP4 zh If he did not, because everyone knows , one hand raised , and led Arab armies against the Turks ? 17 1, 1, 1, 1, 1, 2, 1, 1, 4, 1, 1, 2, 1, 2, 1 1.4
+MOP4 zh Allocate staff and closest cooperation between the various units managers is essential , both in planning and scheduling vacations. 18 2, 4, 3, 4, 3, 1, 4, 3, 4, 3, 2, 3, 1, 2, 4, 3 2.875
+MOP4 zh There is no strong criticism , there is no convincing evidence , there is no sign of learning, from a lost decade . 20 4, 3, 3, 3, 4, 4, 3, 4, 3, 2, 2, 3, 4, 3, 4 3.26666666667
+MOP4 zh Surgery and death is defined as the period between the survival time. 12 4, 1, 4, 3, 3, 2, 3, 1, 1, 4, 1, 1, 4, 2, 4, 4 2.625
+MOP4 zh Tadgell , aged 32 , rented a unit in Australia and Joanna , her progress from a cleaner waitress in the casino . 19 1, 1, 1, 1, 1, 2, 2, 3, 1, 2, 2, 1, 2, 3, 3, 3 1.8125
+MOP4 zh Their business moved Daurog, eyeing Tallis the night before with the same trembling cautious. 14 3, 3, 1, 3, 2, 2, 1, 2, 4, 2, 1, 1, 2, 1, 2, 1 1.9375
+MOP4 zh I have asked my friend from Scotland Yard to help . 10 4, 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4 3.85714285714
+MOP4 zh Mr. Jenks forward along the corridor , angrily glared at him , and the children fell on both sides without any complaints. 20 1, 3, 2, 2, 1, 2, 2, 2, 2, 2, 3, 3, 1, 1, 1 1.86666666667
+MOP4 zh Your detective detective story , of course , to seek information . 9 4, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 1, 1, 2, 1 1.46666666667
+MOP4 zh In the seventeenth century , the new Dutch Republic was the only major force expressed widespread use of this method . 19 4, 4, 4, 2, 2, 3, 1, 3, 2, 3, 3, 3, 2, 2, 3 2.73333333333
+MOP4 zh So, you work in a group photograph of the political pattern and meaning ? 13 3, 2, 2, 1, 1, 1, 1, 1, 4, 4, 1, 2, 4, 1, 1 1.93333333333
+MOP4 zh This is not lived in villages , when people know their great-great- grandfather was a horse thief or anything like past . 20 1, 3, 1, 2, 2, 1, 1, 1, 2, 2, 1, 1, 2, 2, 1 1.53333333333
+MOP4 zh Crystal that Berg was a newspaper reporter , and she assured the rain : ""I did not tell him your story destroy something MI killed MacQuillan. 23 1, 1, 4, 2, 2, 1, 3, 1, 1, 1, 1, 4, 1 1.76923076923
+MOP4 zh Another street , between north and south , and also runs approximately north Ryknild Street branch Tiddington Road 16 3, 1, 1, 3, 1, 1, 2, 3, 3, 2, 1, 2, 2, 2 1.92857142857
+MOP4 zh If you want to use their bathroom facilities , I feel very free . 12 2, 3, 1, 1, 4, 2, 4, 2, 2, 2, 2, 4, 3, 3, 2 2.46666666667
+MOP4 zh This is done to improve people's knowledge , beverages and weekly limits, and the link between alcohol consumption and health and fitness strength. 22 4, 4, 4, 2, 2, 4, 4, 3, 3, 2, 2, 3, 1, 4 3.0
+MOP4 zh When the Indians to hunt , whether animal or rival Indians , their firepower is fatal. 14 2, 2, 1, 1, 3, 1, 2, 3, 4, 1, 1, 1, 2, 1 1.78571428571
+MOP4 zh Speak louder than words , but only when executives are willing to listen, willing to be persuaded. 16 3, 1, 1, 4, 2, 2, 4, 3, 3, 2, 3, 2, 4, 3, 1, 1, 2 2.41176470588
+MOP4 zh In the previous decade, the city of London and other major cities recorded a huge population losses ; cities lost or experienced only slow growth . 24 3, 2, 3, 4, 4, 4, 3, 3, 3, 4, 2, 3, 3, 2, 2, 4, 2 3.0
+MOP4 zh Three women said that from the male boss, they do not get enough respect . 14 4, 3, 2, 3, 2, 2, 4, 3, 2, 3, 2, 3, 3, 3, 3, 2, 2 2.70588235294
+MOP4 zh 86 ' after the demise of our great team , we have established a period of sand castles - they're crashing all the time. 21 3, 1, 2, 2, 1, 2, 1, 3, 2, 1, 2, 2, 3, 2, 4 2.06666666667
+MOP4 zh Wrong shocked polite and curiously uplifting to discover that not everyone in the establishment of such Fagg colonel . 18 2, 1, 2, 1, 1, 2, 1, 1, 3, 2, 1, 4, 1, 1, 1 1.6
+MOP4 zh Each of six trees in Switzerland is in poor health - double signs recorded eight years ago. 16 1, 2, 1, 1, 3, 3, 2, 3, 2, 2, 2, 2, 2, 3, 2, 2 2.0625
+MOP4 zh Left: painter and decorator Kevin Barton latched into this early 2 lbs 14 oz plaice in Lepestone point during the session, in New Hampshire . 24 3, 2, 1, 3, 3, 1, 1, 3, 1, 3, 3, 3, 1, 3, 2 2.2
+MOP4 zh It is estimated that 65% of the transaction is the spot , the other forward transactions . 15 1, 2, 3, 2, 3, 3, 2, 3, 2, 2, 1, 2, 4, 3 2.35714285714
+MOP4 zh This is a necessary qualifications bar for later recall . 9 2, 2, 2, 1, 2, 2, 4, 2, 3, 3, 2, 3, 2, 4, 3 2.46666666667
+MOP4 zh ' Here he comes, look out of this guy. 8 3, 3, 2, 1, 1, 1, 4, 2, 4, 4, 2, 3, 2 2.46153846154
+MOP4 zh I hope you is not gon NA have a fit. 10 1, 1, 1, 1, 1, 2, 1, 2, 3, 3, 2, 1, 1, 1, 2, 1 1.5
+MOP4 zh Effortlessly give children the skills necessary to perform simple math functions ( with the four rules ) 15 4, 4, 4, 4, 4, 4, 3, 4, 3, 1, 2, 3, 3, 3 3.28571428571
+MOP4 zh After I had my tea , I'll go to sleep. 9 1, 4, 2, 3, 4, 4, 1, 2, 4, 4, 4, 4, 4, 4, 2, 2 3.0625
+MOP4 zh Integrated tourism projects , including purchases of barley , into the laboratory , soaking, germination and malt kiln schedule . 16 1, 1, 1, 1, 2, 1, 3, 3, 1, 2, 1, 1, 2, 1, 2, 2 1.5625
+MOP4 zh Then she jumped up , along the path the game. 9 2, 2, 2, 1, 1, 2, 1, 2, 2, 2, 1, 3, 3, 2, 1, 2, 1 1.76470588235
+MOP4 zh I do not want to be a superstar , I just want to be able to play well . 17 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 zh The largest ship registration authorities , Lloyd , ship fire, killing 159 people died two years ago in the United States being sued. 21 3, 1, 1, 1, 3, 2, 1, 1, 2, 1, 1, 2, 3, 1, 1, 1, 1, 1 1.5
+MOP4 zh This is not to deny , of course , in contemporary society crime and violence is an important social reality . 18 3, 3, 3, 1, 4, 3, 3, 4, 4, 3, 4, 4, 3, 3, 3, 4 3.25
+MOP4 zh They strung between two palm trees and a net cut short a vibrant one four side volleyball. 17 3, 1, 1, 1, 2, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1 1.3125
+MOP4 zh Cooperation Administrative Structures, heavy co-ordinating different agencies , in any case , would tend to suppress unorthodox . 15 1, 3, 3, 1, 1, 2, 2, 3, 3, 2, 1, 1, 1, 1, 1, 3 1.8125
+MOP4 zh We walked solemnly around Gloucester Cathedral hospital , and he told me about his childhood. 14 4, 4, 4, 4, 3, 4, 3, 4, 4, 3, 4, 4, 4, 3, 4 3.73333333333
+MOP4 zh Within a few days I plan to write , noting that a reasonable ( British Standard ) day dawned . 16 3, 2, 3, 2, 2, 3, 2, 4, 3, 2, 3, 2, 3 2.61538461538
+MOP4 zh Whether this antibody has a direct pathogenic significance , Wegener 's granulomatosis , remains to be determined . 14 3, 4, 3, 3, 4, 4, 4, 3, 3, 4, 4, 3, 4, 4 3.57142857143
+MOP4 zh Event has been widely television and newspaper advertising , and promote civil rights march on August 24 from Coalisland Dungannon . 19 1, 1, 1, 1, 2, 4, 3, 3, 1, 1, 1, 1, 2, 4, 2 1.86666666667
+MOP4 zh It contains a comprehensive index , the magazine features in our popular , step by step cooking series, Success Tips Recipes indexes and index. 22 1, 3, 1, 2, 1, 2, 1, 2, 2, 1, 3, 1, 3, 1, 2, 3, 1, 3 1.83333333333
+MOP4 zh Seeds, of course , more rich in nutrients than any fleshy coating. 11 2, 2, 3, 2, 3, 3, 2, 4, 2, 3, 1, 2, 3, 2, 2 2.4
+MOP4 zh Fishing attributed to contamination of fish decline , in some sections of the Severn and Avon . 15 4, 3, 3, 3, 4, 3, 2, 3, 1, 2, 3, 3, 4, 2 2.85714285714
+MOP4 zh Rate of change in the practice of obstetric interventions know you ? 11 1, 1, 3, 1, 1, 3, 2, 3, 3, 1, 4, 1, 2, 2, 1, 1 1.875
+MOP4 zh Ultra Gentle Eye Makeup Remover SYNERGIE rose extract, is a light oil-free lotion, soothing properties , 2,99 / 200 ml . 18 3, 1, 2, 2, 1, 2, 3, 4, 3, 4, 4, 3, 2, 4, 1, 2, 1 2.47058823529
+MOP4 zh Stewart and Tate more aware of energy degradation , moral and physical , and thus the world 's impermanence. 16 3, 3, 4, 1, 3, 1, 2, 3, 3, 1, 3, 2, 2, 4, 2, 3 2.5
+MOP4 zh This rule is subject to some exceptions ( see Chapter 5 ) . 10 4, 4, 1, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.73333333333
+MOP4 zh We are grateful to Ken Byron set up a much-needed drama and dance education magazine . 15 3, 3, 1, 3, 2, 2, 2, 2, 3, 3, 4, 3, 3, 2, 3 2.6
+MOP4 zh This tone , Tom's tape is a scientific analysis, rather than scary bedtime stories . 13 1, 1, 1, 1, 1, 2, 1, 1, 3, 3, 1, 1, 3, 3, 1 1.6
+MOP4 zh Suggested in the debate , this is indeed the strain gnats and swallow an elephant . 14 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1 1.1875
+MOP4 zh Ban Dayaqibo Dr. fly whisk him at the relevant time . 10 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 2 1.30769230769
+MOP4 zh Both are left-wing extremist Red Army faction (RAF) of former members . 10 3, 3, 1, 2, 2, 2, 2, 3, 4, 2, 4, 2, 2, 1 2.35714285714
+MOP4 zh But in any case , "" - her tone changed again - "" I am very grateful to you for your help . 17 4, 4, 4, 4, 3, 4, 4, 2, 3, 3, 3, 4, 3, 4, 4, 4, 4 3.58823529412
+MOP4 zh In Stokesley , indeed, neither has a trade , nor the manufacturer , there is no noise or trade dress , and well adapted to retirement is a place . 25 1, 2, 1, 4, 3, 1, 2, 1, 1, 1, 1, 2, 1, 2, 2, 2, 1 1.64705882353
+MOP4 zh Tickets from Sergeant Gordon Parkin ( phone 091567-6155 , ext 6331 . 9 1, 3, 2, 3, 3, 1, 3, 2, 3, 3, 3, 2, 1 2.30769230769
+MOP4 zh You think I'm joking Porsche , is not it ? 8 2, 2, 3, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2 1.69230769231
+MOP4 zh They expressed their anger and godly lewd songs resounded Underdown story. 11 1, 2, 1, 4, 1, 3, 1, 3, 2, 2, 2, 3 2.08333333333
+MOP4 zh Religion: Christianity ( Bulgarian Orthodox Church ) , Islam practiced by Turkey and Japan small Pomak minority . 14 1, 1, 2, 1, 1, 1, 2, 2, 2, 3, 2, 1, 2, 1, 2, 3, 1 1.64705882353
+MOP4 zh Learning skills, such as typing , take a few hours. 9 4, 2, 4, 3, 2, 4, 4, 4, 3, 3, 4, 3, 3, 4, 3, 4, 4, 4 3.44444444444
+MOP4 zh Our public phone on the wall by the front door of the corridor . 13 1, 4, 2, 4, 3, 2, 3, 2, 2, 3, 4, 3, 2, 2, 2, 2 2.5625
+MOP4 zh Mr. Carpenter said: "" All the victims were elderly and infirm . 10 4, 4, 3, 3, 3, 4, 4, 4, 2, 4, 4, 3, 4, 4, 4, 4 3.625
+MOP4 zh Balanced calcium intake means a healthier tomorrow today 8 3, 4, 3, 3, 3, 3, 4, 2, 3, 4, 4, 2, 3, 2, 3, 2, 3 3.0
+MOP4 zh I think I might go to the United States, and to help students around anti- draft camp , "" he said. 19 3, 2, 4, 4, 3, 2, 2, 3, 2, 4, 2, 2, 4, 2, 4 2.86666666667
+MOP4 zh Other people apart from yourself , candidates who may want to consider a fixed schedule is as follows : 17 1, 1, 2, 1, 2, 1, 2, 1, 3, 3, 3, 3, 3, 4, 1, 2, 2 2.05882352941
+MOP4 zh Before that, she realized that her mouth has been formed words. 11 2, 1, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 3 1.73333333333
+MOP4 zh Temperature : The temperature generally ranges from 72 ° -76 ° F. 8 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 4, 3, 3, 4 3.73333333333
+MOP4 zh The first one is face sore , began as a red tag. 11 1, 1, 1, 2, 1, 1, 3, 2, 4, 1, 2, 2, 2, 1, 1, 3, 2 1.76470588235
+MOP4 zh We really struggling at this point in time , thinking, "" What are we doing , what we are ? 16 1, 1, 3, 3, 4, 2, 2, 4, 2, 1, 3, 2, 1, 4, 1, 2, 4, 2 2.33333333333
+MOP4 zh I do not think Chris and the band enough time to know each other . 14 1, 3, 3, 2, 2, 3, 3, 2, 1, 1, 3, 1, 2, 3, 3, 2 2.1875
+MOP4 zh He describes his own experience , in line with the general description of the usual huge sense of presence , accompanied by a huge side effects. 24 2, 1, 3, 3, 3, 1, 4, 3, 4, 2, 2, 3, 2 2.53846153846
+MOP4 zh It prefers moist , humid , airless place , slightly more alkaline pH of the vagina than usual ( usually slightly acidic ) . 18 1, 2, 2, 1, 2, 3, 4, 2, 3, 3, 2, 4, 3, 2, 1, 2, 2, 1 2.22222222222
+MOP4 zh For incandescent incense stick Bongwater安马格努森is even ; Jin Gedeng is a carcinogenic Zippo full flame . 14 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1 1.07692307692
+MOP4 zh But did you know there is a ridiculous program ""You know ,"" one , in the currency football trivia proved rather less fraud . 20 2, 2, 1, 1, 3, 1, 1, 3, 2, 1, 2, 1, 3, 1, 1, 2 1.6875
+MOP4 zh Now, she has been looking closely , she realized that most of the room in the house has two doors . 19 3, 2, 2, 3, 2, 3, 4, 3, 1, 3, 2, 4, 2, 3, 2 2.6
+MOP4 zh If not all sources of income taxation in an equitable price , obviously there is a reward in the form of income into tax-free . 23 2, 2, 1, 3, 1, 2, 2, 2, 2, 1, 1, 2, 3, 4, 2, 2, 2, 2 2.0
+MOP4 zh He had to go through Mordecai , precisely because he is a Coptic . 12 2, 4, 3, 4, 4, 4, 1, 3, 4, 4, 3, 4, 4, 2, 4 3.33333333333
+MOP4 zh But now they are too costly for a free account . 10 3, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 2, 4, 3 3.5
+MOP4 zh Bruce or injured Pallistar , if they have any decent cover, what will happen . 13 2, 2, 3, 1, 2, 3, 3, 4, 1, 2, 2, 1, 2, 1, 1 2.0
+MOP4 zh But his mother was arrested , and now he was in charge of the rebellion in Poitou . 16 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1 3.6875
+MOP4 zh But who knows , sir outstanding punch may ride again some time in the future . 14 2, 1, 1, 1, 1, 1, 3, 2, 1, 2, 2, 1, 4, 3, 4, 1 1.875
+MOP4 zh He needed it as a duck water required . 8 4, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1 1.33333333333
+MOP4 zh The average household size declined from 3.09 in 1961 to 2.55 in 1987 will continue to decline ( Table 2.6 ) . 19 2, 4, 3, 3, 4, 2, 4, 3, 4, 2, 4, 2, 2, 3, 3, 3, 3 3.0
+MOP4 zh On behalf of the dialogue form, is a most appropriate mood and theme of the dialogue. 16 2, 1, 2, 3, 1, 2, 4, 1, 3, 3, 2, 1, 2, 4, 2, 2, 3 2.23529411765
+MOP4 zh As one of the prince's choice of women , has its drawbacks. 11 2, 1, 1, 2, 3, 3, 3, 2, 3, 2, 2, 1, 2, 2, 1, 2 2.0
+MOP4 zh Ferdinand is now at least know a lot of English , whether she said the pen and let him feel important . 20 1, 3, 1, 1, 1, 3, 2, 1, 1, 1, 1, 1, 1, 1, 1 1.33333333333
+MOP4 zh Act II - Beginners , said:"" a trembling voice from outside the door . 11 2, 1, 1, 3, 2, 3, 3, 2, 3, 4, 4, 4, 3, 2, 4, 1 2.625
+MOP4 zh Coming and going - there had been too much. 8 4, 1, 3, 2, 3, 3, 4, 3, 4, 3, 3, 2, 3, 4, 4, 2 3.0
+MOP4 zh Sowing the seeds outdoors in the spring , or plant in the spring , so that the 60 cm between plants ( 2 feet ) . 21 3, 1, 2, 2, 3, 2, 1, 1, 2, 2, 3, 4, 2, 1, 1, 4, 1 2.05882352941
+MOP4 zh To 1925 , Whitaker has become an expert in his field , that Chapman was immediately impressed by his knowledge of football injuries. 21 1, 1, 1, 1, 1, 3, 1, 2, 3, 3, 3, 2, 2, 2, 1, 1 1.75
+MOP4 ja It is a beautiful Lincolnshire month we have, and the Dower House still . ' 13 2, 2, 3, 2, 2, 2, 1, 1, 3, 2, 1, 2, 2, 3, 1, 1 1.875
+MOP4 ja Real friends My first was a boy called Adam probably . 10 2, 1, 1, 2, 1, 4, 1, 3, 1, 3, 4, 3, 2, 1 2.07142857143
+MOP4 ja She was carrying a brush and bucket wearing denim overalls . 10 4, 4, 4, 4, 4, 3, 4, 4, 3, 3, 3, 4, 3, 3 3.57142857143
+MOP4 ja Ministers , do not have a detailed responsibility for decision-making . 9 3, 3, 4, 2, 3, 3, 3, 3, 3, 3, 3, 4, 2, 3, 4, 4 3.125
+MOP4 ja Following year , he had the custody of Rochester Castle . 9 2, 3, 3, 3, 3, 2, 3, 3, 4, 4, 4, 2, 2, 3, 2, 4, 3 2.94117647059
+MOP4 ja Leader is essential to ride the cycle of Wirral Country Park neighborhood on Sunday when reservation made Cheshire Ranger Barry Jackson . 21 3, 2, 4, 1, 1, 1, 1, 2, 1, 3, 1, 2, 1 1.76923076923
+MOP4 ja This equation is called the fundamental theorem of Riemannian geometry . 10 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 ja However , there is a tendency to gloss them when drawing the psychology of mainstream it . 15 2, 2, 2, 2, 1, 3, 2, 3, 2, 1, 2, 3, 2, 2, 4, 1 2.125
+MOP4 ja That is cut out for work absolutely , surprised himself , Greg Hocking was one of find yourself drift and to education of valuable these people . 24 1, 1, 1, 1, 1, 1, 3, 1, 2, 1, 2, 1, 1 1.30769230769
+MOP4 ja New minister , will take over responsibility for the policy of many departments to appointment to the office . 17 3, 2, 2, 2, 1, 3, 3, 3, 2, 3, 3, 4, 2, 3, 1 2.46666666667
+MOP4 ja When I lend arms to Rhun enhance him from his knees to his kindness , clinging humbly desperate of him, and he still hung heavily . 24 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 4, 1, 3, 1, 1, 1, 3, 1 1.42105263158
+MOP4 ja The figure shows how the A- scale per unit area would change in the reading of the radiometer . 18 4, 4, 3, 3, 2, 1, 3, 4, 4, 4, 4, 3 3.25
+MOP4 ja In fact , the monitoring requirements of many TEC from become too frequent complaint is made . 15 1, 3, 1, 1, 1, 1, 2, 1, 1, 1, 1, 3, 1, 3, 1 1.46666666667
+MOP4 ja Preparatory work , beginning in September of last appointment of officers in the country two are employed full time to the project. 21 1, 1, 2, 1, 3, 3, 1, 2, 3, 4, 1, 1, 2, 2 1.92857142857
+MOP4 ja Can reduce this effect, of course , greater than the distance between the trends only , which is moved from the local policeman for centralized policing. 24 2, 4, 1, 1, 2, 1, 1, 3, 2, 2, 2, 1, 2, 1, 1, 2 1.75
+MOP4 ja Todd , he has a different kind of dream are women . 10 1, 2, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 2, 2, 2, 2, 2 1.52941176471
+MOP4 ja For Simulated Annealing is a probabilistic algorithm , the execution of different probeorder, will not produce the same output probe order necessarily . 21 1, 3, 1, 2, 1, 1, 2, 1, 3, 2, 2, 2, 2, 1, 2, 4, 1 1.82352941176
+MOP4 ja Music was animated , but the only arm has moved . 9 1, 2, 1, 1, 2, 1, 1, 2, 1, 2, 4, 1, 1, 3 1.64285714286
+MOP4 ja However , the report also , authority boss of failing to control the activities of Mr. Watoni 58-year-old with early retirement explosion last year . 22 1, 1, 1, 1, 1, 2, 1, 4, 1, 1, 4, 2, 2, 3, 1, 1 1.6875
+MOP4 ja Some , of course , (shipping is included he ) would answer personally . 9 1, 1, 3, 1, 1, 2, 2, 3, 2, 1, 2, 1, 2, 1, 2, 1 1.625
+MOP4 ja As an area of four of them , is greater than the month or our large scale . 16 1, 1, 4, 1, 1, 1, 1, 1, 2, 2, 2, 1, 3, 1, 1, 1, 2 1.52941176471
+MOP4 ja The police are appealing for witnesses of the incident that took place in the 11:00 am on Monday Windsor Street , in Toxteth. 22 4, 4, 2, 4, 4, 3, 3, 4, 4, 3, 3, 4, 2, 3, 2 3.26666666667
+MOP4 ja Watch word wrap back to the previous line . 8 2, 3, 3, 3, 1, 4, 2, 1, 2, 2, 1, 2, 2, 1 2.07142857143
+MOP4 ja The cafe itself , I'm full of smoke to sit outside on a bench . 13 3, 2, 1, 2, 1, 1, 1, 2, 4, 1, 1, 4, 3, 1, 2, 1 1.875
+MOP4 ja You do not need surface is smooth or completely flat . 10 2, 1, 2, 2, 2, 1, 3, 1, 1, 2, 1, 3, 3 1.84615384615
+MOP4 ja Given that this work is being performed , you may want to consider the next closest detail draft schedule - torn to shreds and perhaps . 23 2, 1, 2, 1, 1, 2, 1, 3, 2, 1, 3, 2, 1, 1, 1, 3 1.6875
+MOP4 ja There is a house of parliament of 5,733 sky about 2,000 of which had been empty for more than a year . 21 2, 1, 3, 1, 2, 3, 1, 2, 1, 4, 2, 1, 3, 3, 1, 1 1.9375
+MOP4 ja The ( 3.3) , the total of long-established tradition and influence of one of the study of the differences between education classes Heath . 21 1, 1, 3, 2, 3, 1, 1, 2, 2, 3, 1, 1, 1, 3, 2, 2, 4, 2 1.94444444444
+MOP4 ja This phase is believed to have been controlled by reaction with saline associated with the rock foundation Devonian and volcanic rocks and Permian sediments . 24 3, 2, 1, 4, 2, 3, 3, 4, 4, 2, 3, 3, 3, 3, 2, 4, 2 2.82352941176
+MOP4 ja And , his price - I can his price to enormous use . 10 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1 1.06666666667
+MOP4 ja By October 18 , Warner Home Video and gear , Basinger star in the analysis Erotic thriller final will be released to the video library . 23 1, 3, 1, 1, 1, 1, 2, 1, 1, 1, 2, 2, 1, 1, 3, 1, 2, 1 1.44444444444
+MOP4 ja In recent years , the ceiling of Michelangelo's Sistine Chapel in Rome has grown that it has been changed by the Vatican conservation team irreparably concern . 25 1, 2, 1, 4, 1, 3, 2, 3, 1, 1, 1, 1, 2, 2, 2, 2, 2 1.82352941176
+MOP4 ja At the same time disillusioned me , to get my sympathy . 10 1, 2, 1, 2, 3, 1, 2, 2, 2, 3, 2, 2, 2, 4, 3, 3 2.1875
+MOP4 ja We have taken out like an arrow from the bow horse . ' 11 1, 1, 1, 2, 2, 1, 2, 3, 1, 3, 2, 1, 1 1.61538461538
+MOP4 ja Third of them are anxious to find a reason that must have occurred this year alone the British Horse Society . 20 2, 1, 2, 1, 1, 1, 2, 3, 3, 2, 1, 1, 4, 2 1.85714285714
+MOP4 ja 7 filling Quallofil and PERTEX fabric , in its stuff sack , and 1.2 kg of sole , light weight of Kompakt, fell to 7 liters . 23 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 2, 1, 1, 2 1.28571428571
+MOP4 ja In exceptional circumstances , the head of your department , does not apply to withdraw clause if there is a reasonable explanation for the failure to notify . 25 2, 1, 2, 4, 2, 3, 4, 4, 2, 1, 3, 3, 2, 2, 3, 3 2.5625
+MOP4 ja It can be on the planet ' goodness me , ? ' 8 2, 1, 2, 1, 2, 2, 1, 2, 3, 3, 2, 2, 2 1.92307692308
+MOP4 ja Small sample has been confused with Synodontis petricolor occasionally . 9 3, 4, 2, 1, 4, 2, 2, 3, 2, 1, 2, 4, 1, 2, 3, 4 2.5
+MOP4 ja I often pick up artists from their accommodation , I take them to the place Middlesbrough they are being interviewed by Radio Cleveland . 22 2, 2, 3, 3, 2, 2, 2, 3, 3, 2, 3, 1, 3, 3 2.42857142857
+MOP4 ja Is not taut as if to that of the youth , his muscles are bulging with effort . 16 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 3, 1, 1, 1, 1, 2 1.25
+MOP4 ja A review copy is solid black , but the basic model , has a oil finish . 14 2, 2, 4, 3, 3, 2, 4, 4, 4, 4, 2, 4, 2, 3, 4, 4 3.1875
+MOP4 ja I woke up one of the twins that something began to howl immediately in their bedroom , I crashed on the floor . 21 1, 1, 2, 3, 3, 2, 4, 1, 1, 1, 4, 1, 2 2.0
+MOP4 ja I wish the man was a louse like this . 9 3, 3, 3, 3, 3, 3, 3, 4, 4, 2, 3, 3, 3, 4 3.14285714286
+MOP4 ja This exercise is essential , can not take place except for the liquid medium . 13 1, 2, 4, 2, 2, 3, 2, 2, 1, 2, 1, 2, 3, 2 2.07142857143
+MOP4 ja Career in London is a collection of butter here , Upper Stowe , was called Batasutou once . 15 1, 1, 1, 1, 3, 1, 1, 1, 4, 1, 2, 1, 1, 1, 3, 1, 2, 1 1.5
+MOP4 ja Induction of adhesion of T cell subsets specific cytokine particular is going to be selective and more flexible process of lymphocyte recruitment . 22 3, 1, 3, 2, 2, 2, 2, 2, 3, 3, 3, 1, 2, 2, 2 2.2
+MOP4 ja I think if you want to have in your shoes I ' and I 'm walking right outside him . ' 17 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 3, 1, 2, 1, 1 1.26666666667
+MOP4 ja He closes his eyes , she saw that the movement of his chest was stopped . 14 3, 3, 4, 2, 3, 4, 3, 1, 4, 3, 2, 4, 4, 2 3.0
+MOP4 ja Friend is loved much ... she met everyone , I missed many . 10 2, 1, 1, 2, 1, 3, 1, 3, 3, 1, 3, 1, 2, 2, 1, 1, 2 1.76470588235
+MOP4 ja 'But , lost it - on top of that , the wall was built had collapsed paper . ' 13 3, 1, 1, 2, 1, 2, 1, 1, 3, 3, 1, 1, 1, 1 1.57142857143
+MOP4 ja ' He is going to buy a new typewriter to her , the old ones that practice , sounds like a trumpet of Candyman is she . 23 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1 1.14285714286
+MOP4 ja He in the qualifiers Lancome Trophy in Paris . 8 1, 3, 1, 2, 1, 1, 3, 1, 1, 2, 1, 4, 1, 1, 1 1.6
+MOP4 ja ' Steal for you ? He , I answer to surprise protest of the roller and "" would do the time ' . 17 1, 1, 1, 1, 1, 3, 1, 1, 2, 1, 1, 1, 1, 1, 2, 2 1.3125
+MOP4 ja The length of the smoke of the previous maximum of 18KW output 10.5kW boiler and was three meters . 18 3, 1, 1, 2, 1, 4, 3, 1, 3, 1, 2, 1, 1, 1, 2, 1 1.75
+MOP4 ja Rise gradually as automaton , is made on the way to her counter her , I picked up the receiver . 18 1, 2, 1, 1, 1, 1, 2, 3, 1, 1, 1, 1, 2, 1, 1, 3, 1, 1 1.38888888889
+MOP4 ja He has provided the back of your work really ? 9 1, 2, 1, 2, 3, 2, 1, 3, 1, 2, 3, 2, 3, 1, 2, 3, 2 2.0
+MOP4 ja They did what when , to fit in the location where they were needed , such as gears working together . 18 3, 1, 2, 1, 1, 1, 1, 2, 2, 2, 2, 3, 2, 1, 2, 2, 1, 3 1.77777777778
+MOP4 ja We have made that will continue to use or Lowfields phone ' new east stand ' as before it ? 17 1, 1, 2, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1 1.30769230769
+MOP4 ja Wearing clothes completely , Agnes entered the hall now . 8 3, 3, 3, 4, 2, 2, 2, 2, 2, 3, 2, 2, 3, 2, 3 2.53333333333
+MOP4 ja On the first night , supplement ( minimum 2 persons) per night £ 135 per person each night of 105 pounds added. 19 1, 4, 1, 1, 1, 2, 1, 1, 2, 4, 2, 2, 1, 2, 2 1.8
+MOP4 ja You need to get the certificate (s) is available free of charge at the counter . 14 1, 2, 1, 2, 2, 1, 3, 3, 2, 3, 4, 2, 3 2.23076923077
+MOP4 ja Second , they hold 25% of the expression system foreigner head money of discretion allocation . 14 2, 2, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.33333333333
+MOP4 ja I changed industrialization and modernization , the population map nineteenth century England . 11 2, 1, 1, 2, 2, 3, 1, 2, 3, 4, 1, 1, 2, 2, 1 1.86666666667
+MOP4 ja Rivals Paris Star , is as follows . Steve Bruce ( Manchester United) , Stuart Pearce ( Nottingham Forest , Paul McGrath ( Aston Villa) , Gary Lineker ( Spurs ) , Ray Houghton ( Liverpool ) . 24 4, 1, 4, 3, 4, 3, 2, 3, 3, 1, 2, 3, 2, 2, 3 2.66666666667
+MOP4 ja This company shows did not learn anything from this lesson ' . 10 2, 2, 2, 2, 4, 2, 3, 4, 3, 2, 4, 2, 1, 2 2.5
+MOP4 ja Here , have a view uninterrupted outlook , outlook of any glory , it is a stretch to far away for many miles in the hands of all . 25 1, 1, 1, 1, 1, 1, 2, 3, 2, 2, 1, 2, 2, 2 1.57142857143
+MOP4 ja Left de Benham 's Rams wool jumper , £ 24.99, cotton chambray shirt , £ 15.99, tie , £ 7.99; mill washed code , £ 29.99, casual shoes Gibson , £ 34.99. 21 1, 2, 1, 3, 2, 3, 3, 3, 3, 4, 2, 4, 2, 2, 2, 1, 3, 2 2.38888888889
+MOP4 ja Two years ago , soldiers of 2 TA met at open days of the army . 14 3, 4, 1, 4, 2, 2, 1, 3, 4, 1, 2, 3, 3, 4, 2 2.6
+MOP4 ja Orthodox Judaism has continued teaching the elaborate separation of menstruation women from contact with the men of her family . 19 4, 2, 3, 4, 2, 4, 3, 4, 1, 3, 3, 4, 3, 4, 3, 2, 3 3.05882352941
+MOP4 ja Fireplace in question , was set to a huge thick wall divided the main room partially . 15 1, 1, 4, 1, 1, 2, 3, 1, 3, 2, 3, 1, 2, 1, 2, 2 1.875
+MOP4 ja Movement, and brave to start a new garden , it is a test that convinced the talent of my own design . 20 1, 3, 1, 2, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 2 1.41176470588
+MOP4 ja EEC is prohibited BST further research to complete . 8 3, 1, 1, 1, 2, 2, 1, 2, 1, 1, 2, 2, 4, 3, 1 1.8
+MOP4 ja Reliability of young people is low , this deliberate emphasis on the relationship of past hurtful results in the dilemma of housing workers . 22 3, 1, 1, 2, 4, 3, 1, 2, 2, 2, 3, 2, 1, 1, 2, 3, 2 2.05882352941
+MOP4 ja The law of July 29, 1881 , declared : ' publication , the press is free ' . 12 3, 3, 1, 3, 3, 1, 3, 3, 2, 4, 1, 3, 3, 3, 2, 3 2.5625
+MOP4 ja We can go for either man himself or Dersingham, to be able to see as far as ' I . 18 3, 1, 1, 3, 1, 2, 2, 2, 1, 3, 2, 2, 3, 3, 3 2.13333333333
+MOP4 ja Distinction is drawn between the stop and that its an effect and whether the license . 15 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 2, 2 1.38461538462
+MOP4 ja Turn them into public gardens , to create the charm of eyesore instead . 12 4, 2, 1, 3, 1, 3, 2, 3, 3, 2, 1, 3, 1, 2, 2 2.2
+MOP4 ja It is believed , Julie , tried to run it, but Elizabeth had broken along the tree-lined street and back . 18 3, 2, 1, 2, 1, 1, 2, 2, 2, 1, 3, 1, 2, 2 1.78571428571
+MOP4 ja In February , Senator , refused to allow the change of time . 10 1, 4, 2, 1, 1, 3, 2, 2, 2, 2, 2, 4, 3, 2, 3 2.26666666667
+MOP4 ja The shrugged and smiled , she stared off in the distance. 10 2, 1, 1, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 3, 1, 3, 4 1.88235294118
+MOP4 ja In survey after Nine school is identified for in-depth study of an LEA 3 Midland . 15 1, 1, 1, 2, 1, 1, 3, 1, 3, 3, 2, 1, 2, 2, 1, 1 1.625
+MOP4 ja Some of the trees , plants and animals were the creation of mechanical Mirage company . 14 3, 4, 3, 4, 4, 3, 4, 3, 4, 3, 4, 3, 3, 2, 3, 3, 4, 3 3.33333333333
+MOP4 ja Because it is what I think , it is also whether the girls , could , I say to him. 17 3, 1, 1, 2, 1, 2, 2, 3, 4, 1, 1, 4, 3, 2, 2, 2 2.125
+MOP4 ja Tim husband of Julie in St. Botolph's Church Brampton , crying standing beside the tomb in Northants. 16 1, 2, 2, 3, 4, 3, 1, 1, 2, 1, 1, 2, 1 1.84615384615
+MOP4 ja He looked to another from the face a tired one . 10 2, 1, 1, 1, 1, 1, 1, 2, 2, 4, 2, 1, 3, 2, 1, 2, 1, 1 1.61111111111
+MOP4 ja Please invite people closest to you to give you honest feedback of some degree of diplomacy you to show . 19 3, 3, 2, 2, 2, 1, 3, 4, 4, 2, 3, 2, 2, 2, 2, 3, 2, 2 2.44444444444
+MOP4 ja We have seen the smile of her golden to her appearance in dozens of fashion glossies and the cover of Tatler . 21 3, 2, 1, 1, 1, 2, 1, 2, 1, 3, 2, 2, 1, 2, 2 1.73333333333
+MOP4 ja There is no contract consideration by expert opinion as the principal and seemingly little range . 15 2, 3, 2, 3, 1, 2, 1, 1, 2, 1, 2, 3, 2, 2, 2, 2, 1 1.88235294118
+MOP4 ja The file specified on the hard disk of the PC, program index , to enable a keyword search almost instantly . 19 2, 4, 2, 2, 3, 2, 2, 1, 2, 2, 3, 1, 3, 2, 2, 4, 1 2.23529411765
+MOP4 ja ' Oh , it's not so bad , ' Charles weakly offer . 8 4, 2, 2, 4, 3, 1, 4, 3, 3, 3, 3, 3, 3, 1 2.78571428571
+MOP4 ja As a drop , it has ended the program into a fire chorus ' dirty , dirty ' from the rest of the family of Alf . 22 1, 2, 3, 3, 2, 3, 1, 3, 1, 1, 1, 1, 1, 2, 1 1.73333333333
+MOP4 ja John Taylor was the itinerant craftsmen who came from Oxford in 1839 to recast the church bells in Loughborough . 19 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3 3.875
+MOP4 ja What what are you going to do next about the tweed '? ' 11 4, 3, 2, 4, 4, 2, 1, 3, 4, 2, 2, 2, 3, 3 2.78571428571
+MOP4 ja If you suggest that it should be devoted to the item at the meeting separate more time if necessary, and be flexible . 22 1, 1, 2, 2, 1, 2, 2, 3, 2, 1, 2, 2, 4, 4, 1 2.0
+MOP4 ja It was published by the company Hotonmi of ) America originally . 10 3, 3, 4, 4, 4, 3, 2, 1, 4, 2, 4, 2, 1, 2, 1, 2 2.625
+MOP4 ja Is that a single agent does not affect the our planet as we are so much as for the sake of truth . 22 3, 4, 2, 1, 4, 1, 3, 1, 1, 2, 1, 2, 1, 4, 3, 1 2.125
+MOP4 ja Results - Romance of British wool - in October , is performed in one store the most prestigious of the world's largest and ( 8-18 ) . 21 1, 2, 1, 1, 1, 2, 3, 1, 2, 2, 1, 1, 1, 2, 1, 4 1.625
+MOP4 ja Why do you feel the pain instead , do you not give himself to the stupidity ? 15 1, 1, 2, 4, 3, 1, 3, 1, 2, 3, 2, 1, 2 2.0
+MOP4 ja Open his heart in front of the camera yesterday TELEVISION presenter Keith Chegwin was recognized as "" is alcohol addiction I "" . 20 1, 3, 1, 1, 1, 1, 3, 1, 1, 1, 1, 2, 1, 2, 1 1.4
+MOP4 ja Their king , is Athaulf, they held a court of Narbonne it and establish themselves in the southwest . 17 1, 3, 3, 4, 1, 2, 2, 4, 1, 1, 2, 1, 1, 2, 3, 2 2.0625
+MOP4 ja Borrower , to Mr. and Mrs. Couture , there was a £ 225,000 advance to home Silverdale Avenue , in Walton -on- Thames . 18 2, 2, 1, 1, 1, 3, 3, 2, 3, 1, 2, 1, 2, 3, 2, 1 1.875
+MOP4 ja Rachel was sitting in the side tension of silence Damian Flint Lim . 12 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1 1.13333333333
+MOP4 ja The fat couple checkered cooing over moondirt vacation souvenir jewelry and bouncing about like infant with low G. 18 4, 1, 3, 4, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1 1.6875
+MOP4 ja The addition of associative procedure was seen to provide the possibility of kinematic assembly process a true automated in this way the modeler . 23 1, 1, 1, 1, 1, 1, 1, 4, 3, 2, 1, 1, 2, 2, 3, 2 1.6875
+MOP4 ja The death toll from a known revolution had been revised downwards substantially allowed to stand at 689 again by the end of January . 23 3, 3, 2, 3, 4, 4, 2, 2, 2, 3, 3, 4, 2, 3, 3, 2 2.8125
+MOP4 ja The transporter is designed to withstand accidents , Govenrment has eliminated the possibility of radioactive leakage until recently . 17 4, 3, 2, 1, 2, 2, 2, 3, 3, 3, 2, 3, 4, 2, 3 2.6
+MOP4 ja She had not been poisoned or strangled or drowned : knew that it had to be a wound to me. 19 2, 1, 1, 2, 1, 3, 2, 1, 1, 2, 2, 4, 1, 3, 1, 2, 1, 2, 1 1.73684210526
+MOP4 ja We are committed to equal treatment for men and women in pension firmly . 13 3, 3, 3, 3, 3, 1, 3, 3, 2, 4, 2, 2, 4, 3, 2 2.73333333333
+MOP4 ja The most dangerous poison but swelling while know how pain , bathing is anyone that has been stepped on by mistake in the sea urchin . 24 4, 1, 2, 1, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1 1.5
+MOP4 ja Plot of the game for the simple folk of us is very simple fortunately . 14 2, 3, 1, 2, 1, 1, 3, 3, 1, 3, 2, 1, 2, 3, 1, 2 1.9375
+MOP4 ja They report the results to the Board of Directors , led by Chairman of the subsidiary Sir Robert Ford , Marconi , GEC group of ubiquitous . 23 2, 2, 1, 1, 1, 2, 4, 2, 2, 2, 3, 4, 2, 1, 2, 2 2.0625
+MOP4 ja Let us take a look at B, the movement of the result to be non- relativistic . 16 2, 1, 2, 2, 3, 4, 1, 3, 3, 3, 1, 4, 4, 2, 3 2.53333333333
+MOP4 ja Reason for no good , whether business , was not found , after isolating these checks , management reduced the check to a lesser 75 . 21 1, 1, 2, 1, 1, 1, 1, 4, 1, 1, 1, 2, 1, 4, 1 1.53333333333
+MOP4 ja The travel cost of 16 weeks of training allowance program . 10 2, 2, 3, 2, 1, 2, 3, 3, 2, 3, 3, 4, 2, 2, 2, 3 2.4375
+MOP4 ja Let's consider , the different types of cells muscle , skin , gastrointestinal tract , such as nerve like this . 16 1, 1, 1, 4, 3, 2, 1, 3, 4, 1, 4, 3, 2, 2, 1, 2, 2, 2 2.16666666667
+MOP4 ja Bridget reported that it was much lower than the course held earlier in Avery Hill course number of Easter . 19 1, 1, 2, 1, 2, 1, 1, 1, 3, 3, 3, 1, 3, 4, 2, 2, 1 1.88235294118
+MOP4 ja Single Room £ 4.00 per night , extra night £ 16.00 per night 10 3, 2, 4, 3, 4, 3, 4, 3, 4, 4, 3, 2, 4, 3, 3, 2, 1, 3 3.05555555556
+MOP4 ja You can receive a card club personalized unique that you can claim the air Miles of your shell station you have to participate . 23 1, 1, 3, 1, 3, 3, 1, 1, 4, 1, 2, 1, 1, 1, 1 1.66666666667
+MOP4 ja ' The idea is to make it easier , you are trying to get a good picture how they if they feel about their health . 23 4, 4, 3, 1, 3, 3, 2, 3, 4, 3, 3, 4, 2, 2, 3, 3, 3 2.94117647059
+MOP4 ja However , I think I 've had a good time she . 9 1, 2, 2, 1, 2, 3, 1, 2, 2, 2, 2, 1, 2, 1, 1, 2 1.6875
+MOP4 ja Now considering the microphone did not like it was wrong , but she could not help themselves . 16 4, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1 1.25
+MOP4 ja Now , he knew seven years ago Kendall and not go back to Everton noble . 14 1, 2, 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 4, 2, 1, 2, 2 1.61111111111
+MOP4 ja It is predicted that this is , to decline to 15% a month . 12 3, 2, 1, 2, 4, 2, 4, 3, 4, 2, 1, 3, 2, 4, 3, 2, 3 2.64705882353
+MOP4 ja In spite of the net assets of up to £ 4.58億~ 35% Stanhope , the city has impressed the department . 18 1, 3, 1, 3, 3, 2, 2, 3, 4, 3, 2, 1, 1, 2, 3 2.26666666667
+MOP4 ja A little less than rich this river generous because the source had dried up ? 14 1, 3, 1, 1, 2, 1, 1, 4, 1, 3, 1, 3, 3, 3, 1 1.93333333333
+MOP4 ja 14GHz band , are often used now to 11GHz each district of 6GHz band in C, to 4GHz. 17 1, 1, 1, 1, 2, 3, 1, 4, 2, 3, 3, 1, 3, 3, 1, 2 2.0
+MOP4 ja We can plan it and I will come back again next weekend . ' 12 3, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4 3.76470588235
+MOP4 ja These aspects of political choice , but is still less important now than in the past . 15 1, 1, 2, 2, 2, 2, 1, 2, 3, 2, 3, 1, 3, 2, 1, 1, 2 1.82352941176
+MOP4 ja She made it look a bit of a fool of anyone else you were looking at before . 17 1, 1, 2, 1, 2, 1, 2, 1, 1, 1, 2, 3, 1, 1, 1, 4, 1, 1 1.5
+MOP4 ja That the Conservative Party business vote was not guaranteed yesterday has been shown that group of women last night businessmen and Northeast . 22 3, 2, 4, 1, 1, 2, 2, 1, 1, 2, 1, 1, 3, 1, 2 1.8
+MOP4 ja Theory of evolution is a matter of making the inference to the best explanation . 14 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 4, 3, 3 3.69230769231
+MOP4 ja If so , they did not spend much on a decent script . 11 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3 3.88235294118
+MOP4 ja Practice amp Carlsbro Sherwood 90 , acoustic combo , £ 150, of Marshall , £ 45. 11 2, 3, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 2, 1, 2, 1 1.64705882353
+MOP4 ja The strange note What was in the voice of Nick ? 10 1, 1, 2, 1, 1, 1, 2, 1, 3, 3, 4, 2, 2, 3, 1, 2, 1 1.82352941176
+MOP4 ja Errol and Pam have two children 16 years old and 13 . 11 3, 2, 4, 2, 4, 3, 3, 4, 4, 3, 4, 3, 2, 3 3.14285714286
+MOP4 ja Everyone assumes - - which had been thought that this is ', and will marry her now , would the end of it . 19 1, 1, 2, 1, 2, 1, 1, 1, 2, 1, 1, 3, 1 1.38461538462
+MOP4 ja Learning resource management at the university , human resources manager , joined as a line manager . 14 3, 1, 2, 1, 3, 2, 3, 3, 3, 1, 2, 1, 1, 3, 1, 2 2.0
+MOP4 ja We crawl and ' sometimes he wondered pass of his level 0 , I ' over and out of the village cobbles Papa said . 21 1, 2, 1, 3, 1, 1, 4, 1, 1, 3, 1, 2, 1, 1, 1, 1 1.5625
+MOP4 ja In Parliament , the cry goes up : I write it ' . ' 9 2, 1, 4, 1, 3, 1, 3, 2, 3, 4, 1, 2, 2, 1, 2, 4, 3 2.29411764706
+MOP4 ja In this session , "" one of the participants of the community commented , "" shows that it is the best way to overcome the differences in dialogue ' . 24 2, 2, 1, 1, 2, 1, 2, 2, 3, 3, 1, 3, 4, 4, 3, 2 2.25
+MOP4 ja These involve the creation and distance learning and open copy , more by electrocopying ' customize , ' a pack of material for students . 20 2, 1, 1, 2, 2, 1, 2, 2, 2, 1, 2, 1, 2, 1, 3, 1, 1 1.58823529412
+MOP4 ja It seemed impossible that anyone survive in the middle of the storm of the blade . 15 1, 1, 1, 1, 4, 1, 4, 2, 3, 3, 3, 2, 2, 2, 3, 3 2.25
+MOP4 ja Given the artificial moonlight for three consecutive nights once a month , cycle of them have come to synchronize the rhythm of the moon female . 24 3, 1, 2, 1, 1, 1, 2, 2, 2, 1, 2, 1, 1, 3, 2, 1 1.625
+MOP4 ja With snow abundant supply , for those who want to get off the slopes , we have a special section in this issue . 21 3, 1, 2, 2, 2, 1, 4, 2, 3, 4, 2, 2, 4, 3, 3, 1 2.4375
+MOP4 ja Generalist administrator called economist , and statistician for the information , is a generalist in the ' on ' it in other words . 19 1, 1, 2, 2, 1, 2, 3, 1, 1, 3, 1, 3, 2, 3, 2, 2, 2 1.88235294118
+MOP4 ja The long enough to know the value of ' my own , frustrating , "" Gina , retorted in a cynical sparkle in his eyes . 20 1, 1, 3, 2, 1, 1, 1, 2, 3, 2, 2, 1, 3, 1, 1, 1 1.625
+MOP4 ja You are afraid , both of you , I do not thing , there is a possibility to discover mom is not dead at all . ' 22 1, 2, 1, 2, 1, 1, 3, 3, 2, 1, 1, 2, 2, 2, 2 1.73333333333
+MOP4 ja SORP is an example of the accounting policies that it recommended the same for local government , and comment on . 19 1, 4, 3, 1, 2, 3, 2, 3, 3, 2, 1, 2, 1, 1, 2, 2 2.0625
+MOP4 ja May pose serious health risks for people who eat them in Southern Europe and North Africa bird . 17 1, 1, 1, 1, 2, 4, 2, 1, 2, 2, 3, 2, 4, 1, 1, 2, 3 1.94117647059
+MOP4 ja Months later , pain begins to relax slightly , Lisa was able with the help of Janet and get up to her room itself. 22 2, 1, 1, 3, 1, 3, 2, 1, 4, 3, 3, 1, 2, 3, 1, 2, 2, 3 2.11111111111
+MOP4 ja In such a case , the figure of goodwill can be derived from the average net profit margin , per gallon is multiplied by the daily throughput . 25 1, 3, 2, 2, 4, 3, 3, 4, 2, 2, 3, 1, 3, 2, 1 2.4
+MOP4 ja He also played an attacking innings many genuine all-rounder had a claim , in the order of the lower center to be taken into account . 24 1, 1, 1, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1, 1 1.21428571429
+MOP4 ja It was a trick of the undulating grassland along basin , in Comer guarded nature . 14 2, 2, 1, 2, 1, 2, 2, 2, 3, 1, 2, 1, 1, 3, 1, 1 1.6875
+MOP4 ja The course offers training in all-round basic communication theory tailored to the context of Africa in particular . 17 4, 4, 3, 4, 4, 4, 3, 2, 4, 3, 3, 4, 3, 3, 4, 3 3.4375
+MOP4 ja Then , at first , he began to prepare the little boy for fate this possible gradually . 15 2, 1, 1, 1, 1, 1, 2, 1, 3, 2, 2, 1, 2, 1, 3, 2 1.625
+MOP4 ja The German I , and stand back you switch on , as brilliant robot impressed , it worked like a dream to do all the hard work . 24 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 1, 1 1.23529411765
+MOP4 ja She is in contact with the hand of Samson blunt nose as she wound round - a bit he - Jess . 19 1, 1, 1, 1, 2, 1, 1, 1, 1, 3, 1, 1, 1, 1, 4, 1, 1 1.35294117647
+MOP4 ja I will give you the feeling that there was for the trip of a wonderful 7 days in the Bahamas I have a good deal . ' 25 1, 1, 2, 1, 2, 1, 1, 3, 1, 1, 1, 1, 1, 2, 2 1.4
+MOP4 ja The area of maximum , Renault score is comfort and facilities . 10 2, 2, 1, 2, 1, 1, 1, 3, 1, 1, 3, 1, 2, 3, 2, 3 1.8125
+MOP4 ja The wheel pit before on this site , however , there may have been enlarged to or demolition and rebuilding of either , to take the new wheel . 25 1, 2, 1, 1, 3, 1, 2, 3, 1, 1, 1, 1, 1, 1 1.42857142857
+MOP4 ja Sequence proprioceptive acted as part of the external artery along the flank them. 13 1, 1, 1, 1, 2, 1, 1, 2, 2, 3, 1, 2, 2, 1, 2, 4, 2 1.70588235294
+MOP4 ja Everyone helped my mate said: North Harbour coach Brad Meurant. 10 1, 2, 1, 2, 1, 1, 4, 2, 3, 3, 1, 1, 1, 2, 2, 2, 3 1.88235294118
+MOP4 ja Marks and Spencer has leap to the top slot this year , currently , in the second , third shell Glaxo . 18 3, 2, 2, 2, 3, 1, 3, 2, 4, 1, 2, 2, 2, 1, 1, 1, 2, 2 2.0
+MOP4 ja I produce a small , shallow crater explosive eruption called maars highly gas charged magma derived from the upper mantle . 19 2, 1, 1, 2, 3, 2, 1, 1, 1, 2, 3, 1, 1, 1, 3, 2, 2 1.70588235294
+MOP4 ja Risk of changes in the expected rate of return on long-term growth of the economy . 15 4, 1, 3, 4, 4, 2, 3, 3, 2, 2, 2, 1, 4, 4, 4, 3 2.875
+MOP4 ja She stood on the outside of the lift to the front door of the hospital and other visitors . 18 3, 2, 1, 2, 3, 2, 4, 1, 4, 3, 3, 1, 1, 2, 2, 3, 2, 1, 4 2.31578947368
+MOP4 ja Picture was similar , appear with respect to the distribution of total income manual workers women. 15 1, 1, 3, 1, 1, 1, 4, 2, 3, 1, 1, 3, 3, 2, 1, 4, 1, 1 1.88888888889
+MOP4 ja Fellow qualification appropriate legal executive lawyers and Laboratories . 8 1, 1, 1, 2, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1 1.28571428571
+MOP4 ja They also , in order to improve the quality and quantity of provision in health and social services , it is fundamental to the fight against poverty . 25 3, 1, 4, 2, 2, 4, 1, 2, 3, 2, 2, 3, 1, 1, 3, 1, 1 2.11764705882
+MOP4 ja The such orders , had to to be laid before parliament , was discussed on December 6, 1977 there . 17 1, 1, 1, 1, 1, 1, 2, 1, 2, 3, 2, 1, 2, 2, 2 1.53333333333
+MOP4 ja Yes, "" as if you were talking rival academic , well , I thought Augustine that's simple little idea of him always, ' William , as a hornet , he said . 25 1, 1, 1, 1, 2, 2, 2, 1, 2, 2, 1, 1, 1, 2, 1 1.4
+MOP4 ja Origin of the success of the export of Brazil was quite different in a small commercial aircraft and military trainer . 20 2, 2, 4, 4, 1, 4, 3, 1, 2, 1, 2, 2, 3, 3, 2, 3 2.4375
+MOP4 ja I say to my officers , why we ought to care about it . 12 3, 2, 1, 4, 2, 2, 2, 4, 1, 2, 1, 2, 2, 2, 2 2.13333333333
+MOP4 ja The Princess , Mrs. Harry Cottrell was attended by traveling by aircraft in flight of the Queen . 16 3, 3, 1, 3, 2, 2, 3, 3, 2, 2, 3, 3, 2, 3 2.5
+MOP4 ja The EC, does not matter to itself in education policy and public health . 13 3, 1, 1, 3, 2, 1, 2, 4, 2, 4, 2, 2, 3, 3, 3 2.4
+MOP4 ja Expecting to follow them without question , leaders , or direct challenge and all decisions . 13 1, 1, 2, 1, 2, 1, 2, 2, 4, 1, 1, 2, 4, 1 1.78571428571
+MOP4 ja Why I understand now paid Macaulay Culkin $ $ 3 million they - he won it . 13 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 2, 4, 1, 1, 1 1.46666666667
+MOP4 ja Now , we will be in a string format , such as turning it . 12 4, 1, 3, 1, 1, 1, 1, 4, 4, 2, 3, 4, 4, 1, 1 2.33333333333
+MOP4 ja ' He was a brother with me too ,' Tundrish replied simply . 10 2, 3, 3, 2, 4, 2, 4, 3, 3, 2, 3, 4, 3, 2, 2, 3, 4, 2, 3 2.84210526316
+MOP4 ja The second approach , you can be too is a strategy very productive in the foreign language . 16 3, 1, 1, 2, 3, 1, 3, 3, 2, 1, 2, 2, 1, 3, 1, 1, 2 1.88235294118
+MOP4 ja He is sure that you take a gun , go to the door , cart and horse was tied safely yet . 19 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 3, 1, 4, 1, 1, 1, 1 1.41176470588
+MOP4 ja Both of writing paper and envelopes dirt , a lot of things that can be identified only belong to her father fingerprint , and Maureen . ' 23 1, 1, 2, 2, 1, 1, 4, 1, 2, 1, 1, 1, 3, 1, 4, 4, 1, 1 1.77777777778
+MOP4 ja How there were more than 1,000 maybe I did not know the trees of many species . 16 2, 2, 2, 1, 3, 3, 1, 4, 2, 1, 2, 1, 4, 1, 1 2.0
+MOP4 ja The deprivation fireplace front sash windows , original wooden floors built of single wardrobe , radiator , power point , a year . 18 1, 1, 1, 3, 1, 1, 2, 1, 2, 1, 1, 3, 1, 1, 2 1.46666666667
+MOP4 ja The result has been destroying a lot of medical advances of the year in front of each dispute . 18 3, 3, 2, 2, 4, 3, 4, 4, 3, 2, 1, 1, 2, 3, 2, 1, 3 2.52941176471
+MOP4 ja It had taken less than half a minute of all escape Woil and over. 14 1, 3, 1, 1, 2, 3, 1, 1, 3, 2, 2, 1, 1, 3, 2, 2 1.8125
+MOP4 ja Laughing as it was in belligerent stare her , his light in his eyes . 13 2, 1, 1, 1, 2, 1, 2, 1, 1, 3, 2, 1, 1, 1, 1, 2, 1 1.41176470588
+MOP4 ja They , it was just a few minutes from the train station , there were many services . 15 4, 1, 2, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.375
+MOP4 ja Perhaps the most important all , three of the greats of all time boxing - Ali , Armstrong and Robinson - was born into a comfortable situation . 23 3, 1, 3, 4, 1, 3, 3, 1, 2, 3, 2, 3, 2, 1, 2, 2, 1 2.17647058824
+MOP4 ja Currently , Halifax Building Society , which put the device of their bomber is a pile of rubble . 16 1, 2, 1, 1, 3, 3, 2, 3, 1, 1, 3, 2, 1, 1, 2, 2, 1 1.76470588235
+MOP4 ja You've seen for reconciliation between Marxism and dismantling Michael Ryan . 10 2, 2, 3, 1, 1, 4, 4, 3, 2, 1, 2, 1, 2, 2, 2 2.13333333333
+MOP4 ja There is no other catalogs , such as OXFAM Christmas catalog considerably . 11 2, 1, 1, 2, 2, 3, 3, 1, 1, 1, 1, 3 1.75
+MOP4 ja The pumped up with ' , as long as there is no more resources , is going for this to happen , "" she said . 20 1, 2, 1, 1, 1, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1 1.26666666667
+MOP4 ja It was a way of thinking and behavior . 8 4, 2, 4, 4, 4, 2, 3, 4, 4, 2, 4, 4, 4, 3, 4, 4 3.5
+MOP4 ja Put simply , for a while , she ' Yes, ' was studied each other they . 12 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2 1.2
+MOP4 ja Part of the law is arranged in groups of three . 10 3, 4, 4, 3, 4, 4, 4, 3, 3, 4, 4, 3, 3, 4, 4, 3 3.5625
+MOP4 ja Strangely , international appearance of his only was for the English against Scotland League in 1914 . 15 1, 1, 1, 1, 1, 2, 3, 3, 2, 2, 3, 2, 2 1.84615384615
+MOP4 ja It's Saturday night , and they may not come . 8 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.88888888889
+MOP4 ja Discussion information provided by other sites through is kept confidential . 10 1, 1, 2, 1, 2, 2, 1, 3, 3, 3, 3, 3, 2, 1, 2, 3, 2 2.05882352941
+MOP4 ja Somewhere , in the silence between them , the phone was the beginning of the emergency , the ring permanent . 17 1, 4, 2, 2, 2, 1, 1, 3, 2, 3, 2, 2, 3, 1, 3, 3, 2 2.17647058824
+MOP4 ja Number of notifications of instances ( is written both , on the phone ) it was required . 14 1, 1, 1, 1, 1, 2, 2, 3, 1, 2, 1, 2, 3, 3 1.71428571429
+MOP4 ja (1976 ) again and again as mentioned Montague , the social activities of the war , you must not have a relationship with the internal state of the invasion . 25 1, 2, 3, 1, 3, 4, 1, 1, 2, 2, 1, 2, 3 2.0
+MOP4 ja That , then , is the theory - but how does it work out in practice ? 13 4, 4, 3, 3, 4, 4, 4, 3, 3, 3, 3, 3, 4, 4, 4, 3 3.5
+MOP4 ja But things can only be not from the angle of the people more than the exemption limit , you look different . 20 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 3, 2, 1, 1, 2, 1 1.3125
+MOP4 ja It is repeated that they hear , what is called a "" democracy of Salvadorean "" is dangerous , women to the right claim . 20 2, 2, 1, 3, 2, 1, 2, 3, 2, 1, 2, 1, 1, 4, 2, 2 1.9375
+MOP4 ja Chain of travel agents Thomson travel , and airlines ( backward integration ) ( forward integration ) is included . 14 1, 2, 3, 2, 1, 4, 3, 2, 3, 2, 1, 3, 1, 3, 1, 2 2.125
+MOP4 ja As they were intended , you can still see some of the historic home of London . 15 1, 2, 3, 1, 4, 2, 3, 2, 4, 3, 2, 4, 2, 3, 3 2.6
+MOP4 ja Table I summarizes the clinical characteristics of these patients . 9 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.875
+MOP4 ja Further information SS Langer , RSC, Burlington House , Piccadilly , London from W1V 0BN. 12 2, 2, 2, 3, 1, 1, 2, 3, 1, 1, 3, 2, 2, 1 1.85714285714
+MOP4 ja Is short Jarisch - Herxheimer reaction to the normal ' Herxheimer ' reaction , I follow the initial dose of the treatment of syphilis in the proportion of cases . 25 1, 1, 3, 3, 1, 2, 3, 3, 1, 2, 1, 2, 2, 1, 2, 2, 2 1.88235294118
+MOP4 ja Ideally if you have a vision in order for people to send them , it supports the work of finance , this is not necessary . 23 1, 1, 4, 2, 1, 1, 3, 1, 3, 2, 3, 1, 2, 2, 2, 2, 3, 3 2.05555555556
+MOP4 ja If you look around the room , old furniture in wear , I noticed that Herbert must be very poor . 18 1, 1, 1, 3, 2, 4, 4, 3, 3, 1, 3, 3, 2, 2, 2, 1, 2, 2 2.22222222222
+MOP4 ja Sitting in the office of the gym in Peel Park , trophy will stay there still . 15 1, 1, 2, 4, 1, 1, 2, 2, 1, 3, 3, 3, 1, 1, 2, 2, 3, 2 1.94444444444
+MOP4 ja Homology search of the Swiss Protein database Leeds and were not able to detect a significant similarity to other proteins . 20 1, 1, 4, 3, 3, 3, 3, 3, 2, 4, 4, 1, 3, 3, 2, 4, 3 2.76470588235
+MOP4 ja There is a possibility that you have something to do with the murder of angry it ' . 16 1, 1, 1, 1, 1, 3, 4, 1, 2, 2, 3, 1, 3, 1 1.78571428571
+MOP4 ja Generates the stability of the economy grazing , ranchers , say feed the nation by referring to themselves as guardians of the west . 21 2, 1, 1, 2, 2, 1, 1, 1, 2, 1, 2, 1, 1, 1, 2 1.4
+MOP4 ja This man , was buried here in the fourth century . 9 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 3, 2, 4, 4 3.6875
+MOP4 ja They start the question , they begin to see the dream . ' 10 3, 1, 2, 3, 2, 2, 3, 3, 3, 2, 2, 1, 2, 3, 3, 4, 4 2.52941176471
+MOP4 ja I work on the principle of "" ion exchange "" soft water . 10 3, 2, 1, 4, 2, 1, 2, 2, 2, 2, 3, 1, 4, 3, 1 2.2
+MOP4 ja Many of them offer a mail order service 8 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4 3.88235294118
+MOP4 ja He looked radiant, Athelstan with pride his face . 8 3, 1, 2, 2, 2, 2, 4, 2, 1, 3, 3, 2, 1, 2, 1, 1 2.0
+MOP4 ja Responsibility had upset her considerably , although she was used to drive a luxurious Serving By this time first. 18 2, 1, 1, 1, 2, 1, 2, 4, 2, 1, 3, 1, 1, 1, 2, 4 1.8125
+MOP4 ja 'PLO was trying to interfere with the departure of Muslims . 9 3, 3, 4, 4, 4, 4, 3, 2, 4, 4, 4, 4, 4, 3 3.57142857143
+MOP4 ja Old rival ITS similarly priced BEAT, MOTOROLA is , get off the gloves at a price POWERPC WITH fight the Pentium 20 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1 1.125
+MOP4 ja Like many of the assumptions of popular subject matter , this is wrong . 12 4, 3, 4, 4, 3, 4, 4, 2, 4, 4, 4, 3, 3, 3 3.5
+MOP4 ja That charge was political persecution , from his hiding place , Mutalibov told Izvestiya in Russia . 14 1, 2, 2, 4, 3, 2, 3, 3, 4, 3, 2, 1, 2, 2 2.42857142857
+MOP4 ja Market model Commercial Union , explained 25% of the variation of the return . 12 4, 3, 2, 2, 4, 2, 4, 3, 2, 1, 2, 2, 1, 3, 1 2.4
+MOP4 ja The proposition of me , I will want to assure you , the mutual benefit of our . ' 15 1, 2, 1, 1, 1, 3, 1, 3, 2, 1, 1, 1, 1 1.46153846154
+MOP4 ja In the Gospel of John only , he does make an interesting statement and one deep curiosity . 16 1, 3, 2, 3, 2, 4, 2, 2, 2, 3, 1, 2, 1, 1, 2, 3, 3 2.17647058824
+MOP4 ja They were back from the work of repair and construction of construction day army base in Omagh . 17 1, 3, 2, 4, 2, 3, 1, 2, 2, 1, 1, 2, 2, 2 2.0
+MOP4 ja All in the hotel everyone is ordered calm in the first world : chocolate swimming pool state-of-the-art , satellite TV , pillow at night . 21 3, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP4 ja Is ... 4 hole , the roof had to be burned off in one area . 13 3, 1, 2, 3, 1, 2, 1, 1, 1, 3, 3, 1, 1, 1, 1, 2 1.6875
+MOP4 ja It seems strange to reach out of economic cooperation to the same country as the friendship that we are threatening mass extinction . 22 1, 1, 2, 1, 3, 1, 4, 3, 3, 2, 3, 1, 1, 4, 1 2.06666666667
+MOP4 ja In the 1960s , the building was transformed successfully rather the gallery for art in the Bohemian Josef Pilar and CuBr of František . 22 1, 1, 1, 1, 2, 4, 3, 2, 1, 2, 1, 4, 3, 2, 3, 1, 2 2.0
+MOP4 ja However, it her , the other part , cried for mere idea of wife of others . 14 1, 1, 1, 1, 1, 3, 1, 1, 1, 2, 2, 2, 1, 2, 3, 1, 1 1.47058823529
+MOP4 ja The tapestry of the first of Morris , is located here , design and fabric of his are everywhere . 17 2, 1, 2, 1, 3, 2, 2, 3, 3, 2, 3, 3, 2, 2, 2 2.2
+MOP4 ja It is expected or investigation of these problems and are diverse . 11 3, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 4, 3, 1 1.6
+MOP4 ja COS-B satellite between December 1978 and August 1975 to observe the 2CG342 -02 5 times , cataloging it as the 10th strongest γ -ray source . 21 3, 1, 4, 3, 1, 2, 1, 1, 2, 1, 3, 1, 4, 2, 3 2.13333333333
+MOP4 ja He said ' We sent a rescue team of us as much as possible as quickly as possible , but it was too late we ' . 23 2, 2, 1, 2, 2, 1, 1, 3, 1, 1, 2, 1, 1, 4 1.71428571429
+MOP4 ja But not all , but like a Saturday night really is not . ' 11 1, 2, 1, 1, 1, 1, 1, 2, 3, 1, 1, 1, 1, 4, 2, 1, 1, 1 1.44444444444
+MOP4 ja When that failed, he was full of hope for what is not to be missed 15 2, 2, 2, 3, 4, 4, 4, 3, 3, 4, 3, 2 3.0
+MOP4 ja I , on the argument , invited my attention to Section 5 ( 7 ) He also , you need to add that you mention it to me . 23 1, 1, 1, 4, 3, 3, 2, 2, 2, 1, 1, 1, 1, 2, 2 1.8
+MOP4 ja Group I of the bottom , I was delighted at the top of the image , as a mirror image , and you copy it once . 23 1, 1, 1, 1, 2, 1, 2, 1, 3, 1, 1, 3 1.5
+MOP4 ja From then on , the path to the double helix was obvious . 11 4, 4, 4, 4, 4, 4, 2, 4, 4, 3, 4, 3, 4, 4, 4 3.73333333333
+MOP4 ja Political , economic accounting is related potentially Therefore the benefits of soil conservation program costs and for others in the affected areas directly outside . 23 1, 1, 1, 1, 3, 1, 3, 3, 1, 1, 1, 2, 1, 1, 2 1.53333333333
+MOP4 ja In addition , he Do you agree that it is necessary to reopen the police station in the neighborhood , focus on community policing ? 22 3, 1, 1, 1, 1, 3, 2, 2, 2, 1, 1, 1, 1, 1, 2, 1, 3, 1 1.55555555556
+MOP4 ja Seal the text , Edward of two weeks later , issued it to all sheriff . 13 1, 1, 1, 2, 2, 1, 1, 2, 3, 2, 1, 1, 1 1.46153846154
+MOP4 ja Since then , full-length TV shows so many have followed sharply . 10 2, 2, 1, 2, 3, 2, 4, 2, 2, 2, 1, 2, 1, 1, 2 1.93333333333
+MOP4 ja Questionnaire sent by mail is not returned , the interview will be rejected . 12 2, 2, 2, 2, 2, 3, 4, 3, 2, 3, 1, 3, 2, 3 2.42857142857
+MOP4 ja Twice , I ran into dangerous so close to the edge , eyelids drooping my eyes and dazzled . 16 1, 1, 1, 2, 1, 1, 4, 2, 4, 1, 1, 1, 1, 2, 2, 1 1.625
+MOP4 ja The operation , troops of more than 35,000 will participate from 9 countries at least in the end. 17 1, 1, 1, 1, 4, 3, 3, 3, 1, 4, 2, 4, 3, 2, 3 2.4
+MOP4 ja UI does Mase marketing arm of mere USL requirements and body longer . 12 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 4, 1, 1, 1 1.4
+MOP4 ja The ' post- report , I'm in the business of Needham ! ' 9 2, 3, 2, 1, 2, 3, 2, 2, 2, 1, 3, 2, 2, 1, 2, 4, 2 2.11764705882
+MOP4 ja Before describing how to tackle the race course , sailor one quickly , is worth a look at whether to go another more it . 22 1, 1, 2, 1, 1, 3, 1, 2, 1, 1, 2, 1, 3, 1, 2 1.53333333333
+MOP4 ja In the back of something , but they looked to his features as if you want carved from stone stirring gaze . 20 1, 1, 1, 3, 1, 2, 1, 2, 1, 1, 3, 2, 1, 1, 1, 1 1.4375
+MOP4 ja The topics of both , however , the current situation has changed dramatically compared to 1979 . 14 2, 2, 2, 3, 3, 3, 2, 2, 3, 4, 1, 2, 2, 3, 3, 2 2.4375
+MOP4 ja These percentages were not uniform across the country : determining what had been provided by the local cuisine . 17 1, 3, 2, 4, 2, 3, 3, 2, 3, 2, 3, 4, 2, 2 2.57142857143
+MOP4 ja ' I can not hear anything , I ' said angry pastor . 9 4, 2, 1, 2, 2, 1, 2, 3, 2, 1, 2, 2, 1, 1, 2, 2 1.875
+MOP4 ja We may never know the exact number of the dead ' . 10 4, 3, 4, 4, 3, 4, 4, 3, 4, 3, 4, 2, 4, 3, 3 3.46666666667
+MOP4 ja These were rejected on 17 and 18 April respectively . 9 4, 2, 4, 4, 3, 3, 3, 4, 4, 3, 4, 2, 3, 3 3.28571428571
+MOP4 ja About 20 years , women , art , the association is a synthesis of the work is progressing for the visual arts and women . 21 3, 1, 2, 2, 2, 2, 2, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1 1.58823529412
+MOP4 ja He has not been established less than two charity school twenty- only Pembrokeshire at his own expense . 17 1, 1, 2, 2, 1, 1, 2, 2, 1, 1, 2, 1, 2, 1, 1, 1 1.375
+MOP4 ja You can bend the pipe soil deformation during an earthquake , as if it were a strand of copper wire they . 20 1, 2, 3, 1, 1, 1, 2, 3, 3, 2, 1, 1, 1, 4 1.85714285714
+MOP4 ja The way to achieve this "" new Pentecost "" already , he knew that it was the Council within a few days of his election . 22 2, 1, 1, 4, 3, 2, 4, 1, 2, 2, 3, 1, 3, 1, 3, 3, 2 2.23529411765
+MOP4 ja In order to follow Jesus as disciples , we mean that you are facing in the opposite of living like him too . 21 1, 4, 2, 2, 3, 2, 2, 1, 2, 3, 2, 1, 3, 1, 2 2.06666666667
+MOP4 ja Ran into turf wheels he gets wet , and shot in the chest and wrinkles whole machine , like an animal , and fell to his knees . 24 1, 1, 1, 2, 1, 2, 3, 1, 3, 1, 1, 3, 2 1.69230769231
+MOP4 ja Jenna is stopped and faced him angrily , but before she can speak , he tilting the face at the hands of strong brown . 22 1, 2, 1, 3, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 3, 1, 1 1.38888888889
+MOP4 ja ' Look at you , I ' travesties I do not see the Grainne , and said softly . 14 1, 2, 1, 1, 2, 1, 2, 2, 1, 1, 2, 1, 1 1.38461538462
+MOP4 ja One Beaufighters newly arrived 252 Squadron (T3237) , was wrong for a while Ju88 local flight the next day . 17 1, 1, 1, 1, 2, 1, 2, 3, 3, 2, 1, 1, 1, 1, 1, 2, 1 1.47058823529
+MOP4 ja After you went to sleep , and fascinated by the night of Scandinavia , Carrington saw the sea for the first two hours . 21 3, 2, 2, 4, 3, 2, 3, 3, 3, 3, 2, 3, 1, 3, 3, 2, 2, 4 2.66666666667
+MOP4 ja Are recorded as cot death originally , there was no hearing at all , we will have a hearing today . 18 3, 2, 1, 2, 2, 3, 2, 2, 2, 2, 2, 2, 1, 3, 3, 2, 2 2.11764705882
+MOP4 ja It was a far cry from the court of the golden city on the horizon . ' 15 4, 3, 3, 4, 4, 4, 3, 3, 4, 4, 2, 3, 4, 4, 3, 3 3.4375
+MOP4 ja If I threw a glass of water you this in an interview , in the sense that it would be a political act ' politics . 23 1, 1, 1, 3, 1, 1, 3, 1, 2, 1, 2, 1, 1, 1, 1 1.4
+MOP4 ja I said the victim and fumbling , for her smoke again ' now going solo , so ' . 14 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1 1.13333333333
+MOP4 ja Here , there are various applications of 10 for the book ; 10 3, 3, 1, 2, 4, 3, 3, 2, 3, 2, 4, 2 2.66666666667
+MOP4 ja Still deep ' , the old Michael , I should imagine . 8 2, 3, 1, 2, 2, 3, 2, 2, 2, 1, 1, 2, 3, 2, 3 2.06666666667
+MOP4 ja The main difference between Sections 18 and 20 , is in a failed element , it is a considerable difference . 18 2, 4, 2, 3, 2, 3, 3, 1, 3, 3, 4, 3, 2, 3, 3, 1, 2 2.58823529412
+MOP4 ja Ideal for small flat , washer / dryer is as sophisticated as one utility room of the main house . 17 1, 4, 1, 4, 3, 2, 3, 1, 1, 2, 2, 1, 3, 1, 2 2.06666666667
+MOP4 ja The lobby is , now that he was a pastor . 9 1, 1, 3, 2, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 2 1.375
+MOP4 ja Ministers to arrive from Moscow , the deputy chairman of the Council of Boris system Chelmsford Bina , Committee of Government , prohibited evacuation of countryside around Chernobyl . 25 3, 3, 2, 2, 2, 3, 1, 3, 3, 2, 1, 2, 1, 1, 3, 1, 3, 1 2.05555555556
+MOP4 ja Depending on the expectations , it was associated with increased volatile weekend . 11 2, 4, 4, 2, 4, 3, 3, 3, 3, 2, 3, 3 3.0
+MOP4 ja The Madonna of Santarem , there is a tradition in our family that is reunited with their owners at all times , do you know it? 24 2, 2, 1, 2, 1, 2, 1, 1, 1, 2, 3, 2, 1, 2, 1 1.6
+MOP4 ja As it's beta version , it is tricky to give a star rating of ClarisWorks . 14 4, 2, 2, 4, 1, 3, 2, 3, 4, 2, 1, 3, 3, 3, 3, 4, 4 2.82352941176
+MOP4 ja I was getting a good night's sleep is all she had to . 12 1, 1, 2, 3, 2, 1, 2, 2, 1, 2, 1, 3, 1, 2, 2 1.73333333333
+MOP4 ja Motility and Intraoesophageal pH, were examined 4 days of each treatment period . 12 3, 3, 2, 4, 3, 4, 3, 3, 3, 3, 3, 2, 3, 3, 2, 3 2.9375
+MOP4 ja All credit to the ' Gavin and a little persuasion , I gave the ball to me in the end. 18 2, 2, 1, 2, 1, 1, 1, 3, 1, 1, 1, 1, 2, 1, 1, 3, 1, 1 1.44444444444
+MOP4 ja The first draft of the Prelude , were written in Germany during the winter of up to 9-1798 . 17 3, 1, 1, 2, 1, 2, 3, 1, 1, 3, 2, 2, 4, 2, 2, 3, 3, 1 2.05555555556
+MOP4 ja Soldiers are not allowed the tobacco freely anymore . 8 3, 1, 3, 1, 4, 4, 1, 2, 2, 2, 2, 2, 3, 1, 1 2.13333333333
+MOP4 ja In the criminal trial , it is not a court in order to bring out the truth . 16 3, 1, 4, 1, 1, 3, 1, 3, 3, 2, 3, 2, 2, 2, 2, 3 2.25
+MOP4 ja ' It is a crime man , Haberi is ' What 's opinion of his voice ? ' 12 1, 4, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2 1.46666666667
+MOP4 ja Beatles cut neat Dustin is disturbed somewhat , close-up of a mole has been there in his right shoulder . 18 1, 1, 2, 1, 2, 1, 3, 1, 2, 1, 3, 1, 3, 2, 1 1.66666666667
+MOP4 ja Poetic words ridiculously most of all , shows the weakness of the speaker after the ' headpiece filled with straw ' fact at all, come . 22 3, 1, 1, 1, 1, 3, 1, 1, 3, 1, 2, 1, 1, 2, 2, 1, 1 1.52941176471
+MOP4 ja ' I cried when the voice of anyone who was called was asked and I thought it was some weirdo : ' It's me ! ' 21 3, 1, 2, 1, 1, 2, 2, 3, 1, 1, 1, 3, 3, 3, 3 2.0
+MOP4 ja ' I should not be , ' attendant said , but I smiled widely then . 11 2, 1, 1, 3, 2, 3, 2, 1, 1, 3, 2, 2, 2, 2 1.92857142857
+MOP4 ja Well ' , it is , it is not a bad idea what? 10 1, 2, 1, 1, 2, 1, 1, 2, 2, 2, 1, 1, 1, 3, 1 1.46666666667
+MOP4 ja That there is no need he wrote , the surface is covered , the beauty of the glass is this . 18 2, 3, 2, 2, 1, 1, 3, 4, 3, 2, 2, 2, 1, 2, 1, 1 2.0
+MOP4 ja Finally , cougars types are used in about eight years ago , has passed its maximum , he suggests that Mirage resembles cougars . 20 2, 3, 2, 1, 1, 3, 1, 2, 1, 1, 4, 2, 1, 2 1.85714285714
+MOP4 ja Said I have a good word to me ' , but withdrew his head , "" Brigadier General , and open the door . 18 1, 1, 2, 1, 1, 1, 1, 1, 2, 3, 1, 2, 1, 3, 1 1.46666666667
+MOP4 ja Slogans and ideas of some , has received a brief hearing another in these days of wall motion ' of democracy from 1979 to 1978 of ` . 24 2, 2, 1, 2, 2, 1, 3, 3, 3, 1, 2, 1, 2, 1, 1, 1, 1 1.70588235294
+MOP4 ja The Metropolitan Police Department , photographer , who is damages , was wounded in the spine Wapping dispute was settled in the High Court claim of Anthony Walsh , . 25 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 2, 1, 1, 3, 2, 1, 1 1.35294117647
+MOP4 ja If you get another couple of Shilling out of it , I did not win them ' me? 16 2, 2, 1, 1, 1, 2, 2, 3, 2, 1, 4, 2, 2, 1, 2 1.86666666667
+MOP4 ja ' We have a lock-on tail to Tweed already . 8 1, 3, 3, 4, 1, 4, 2, 4, 3, 3, 2, 2, 3, 3, 4 2.8
+MOP4 ja Look at the face with a pock mark anxiety young , blonde hair trimming , and worried eyes , he was to be , cold and hard . 23 1, 1, 1, 1, 2, 1, 1, 1, 2, 3, 3, 3, 1, 1, 3, 1 1.625
+MOP4 ja I indicated build store not only durability hence . 8 1, 1, 1, 2, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP4 ja , Identify the notes and queries for immediate follow-up to fill the gap . 12 4, 2, 3, 3, 4, 3, 4, 3, 3, 2, 1, 4, 4, 2, 4, 4 3.125
+MOP4 ja And he blows the smoke back in my mouth . 9 3, 4, 4, 4, 2, 3, 4, 4, 3, 3, 3, 4, 4, 2 3.35714285714
+MOP4 ja By another scientist team , genetic spray Dr. Julia Dorin , which had been described as a development very exciting . 18 2, 3, 2, 1, 1, 1, 2, 2, 3, 1, 1, 2, 1, 1, 2, 3, 1 1.70588235294
+MOP4 ja Highway yard old Rigby Road , seemed to provide the ideal site in the connection of the railway . 17 3, 3, 3, 3, 4, 3, 4, 4, 2, 4, 2, 4, 3, 4, 3 3.26666666667
+MOP4 ja Jodami found a significant extra gear in the car and end Wild Rushing Jodami and jumped last together . 18 1, 2, 1, 3, 3, 1, 1, 2, 2, 1, 2, 1, 1, 1, 1, 2 1.5625
+MOP4 ja Is it possible to co-exist with reference to the rich poverty of the private sector ? 15 4, 2, 4, 3, 4, 4, 4, 4, 1, 1, 2, 3, 1, 3 2.85714285714
+MOP4 ja Claims to it , from where it retired his , looking at anxiety and some , I do not think No Cadfael . 19 1, 1, 1, 1, 1, 3, 1, 2, 1, 1, 1, 1, 1, 1, 1, 3, 1 1.29411764706
+MOP4 ja I was told Ardakkeans strong superhumanly, and is invulnerable to the threat of life most . 15 1, 3, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1 1.27777777778
+MOP4 ja She wrote a few words of these to him passionately : 10 3, 3, 2, 1, 2, 4, 3, 3, 3, 3, 3, 3, 3, 3, 4 2.86666666667
+MOP4 ja Villagers fight to prevent the sale of common ancient 9 3, 2, 4, 3, 2, 2, 1, 1, 3, 3, 3, 2, 1, 1, 2, 1 2.125
+MOP4 ja There are various ways which can be obtained Recovery : - 9 2, 1, 3, 1, 2, 2, 1, 1, 2, 3, 2, 1, 2, 2, 1, 3, 2 1.82352941176
+MOP4 ja With ' road , it 's a long way to go , I just have to walk kilometers across the field beyond the farm . 20 3, 2, 3, 1, 2, 1, 3, 2, 2, 2, 2, 2, 2 2.07692307692
+MOP4 ja It is a fable , such as accurate body consciousness notes from the underground and . 14 1, 1, 2, 3, 1, 1, 3, 1, 1, 3, 1, 1, 1, 1, 1 1.46666666667
+MOP4 ja With a crew of the movie , we sat in front of Robin rushes us. 14 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1 1.2
+MOP4 ja Masses of Arab resentment was expected to rise to the leaders of the west side of their parents in the western humiliation of Saddam Hussein . 25 1, 2, 1, 1, 2, 3, 1, 1, 3, 2, 3, 1, 2, 2, 2, 3, 1 1.82352941176
+MOP4 ja Director Neil Cossons, the Science Museum , I'm sure you can restore the old number . 14 2, 2, 3, 3, 3, 2, 2, 3, 3, 2, 1, 3, 4, 1, 3, 3, 2 2.47058823529
+MOP4 ja However , retake exam , students are allowed to count the perfect score usually win an exception because of a missed inspection through such diseases . 23 1, 2, 1, 1, 2, 1, 4, 2, 2, 1, 1, 1, 2, 2 1.64285714286
+MOP4 ja It will be a good exercise acoustic string phone to compare the electrical system purely in Part 1 (November 1991 ) . 19 2, 1, 1, 2, 2, 4, 1, 2, 1, 3, 3, 3, 2, 4, 4 2.33333333333
+MOP4 ja Role of the state was more pronounced in Berlin of cultures . 11 1, 1, 3, 4, 3, 2, 1, 1, 2, 3, 1, 1, 2, 3, 2, 2, 3, 4 2.16666666667
+MOP4 ja TRIP of AID provides lessons in fear and poverty in the Third World students 14 4, 2, 2, 4, 2, 2, 4, 3, 3, 1, 2, 4, 3, 3 2.78571428571
+MOP4 ja Her anger faded to be , noticed his finger was trembling , she replaced rather than hope and optimistic wild . 18 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 2, 1 1.1875
+MOP4 ja In the jargon of quantum mechanics , this choice of action , is called statistics the particles follow . 16 1, 2, 3, 2, 3, 2, 1, 3, 3, 2, 2, 2, 2, 4, 2, 2 2.25
+MOP4 ja It is possible to format or spreadsheet of your manual , to design speedformat routine of your own . 17 2, 1, 1, 2, 1, 1, 3, 3, 1, 2, 1, 1, 1, 3 1.64285714286
+MOP4 ja ' Ash , dust dust earth , ashes to the earth ... ' 8 3, 2, 1, 3, 3, 1, 2, 3, 1, 2, 2, 1, 1, 1, 1 1.8
+MOP4 ja ' It happened that Churchill far without Poor 5 Air School , was not there than from the mine hidden during the Boer War , it ' Clifford recalls . 25 1, 1, 1, 1, 1, 3, 3, 1, 1, 1, 2, 1, 2, 1, 3 1.53333333333
+MOP4 ja I , for example , need to buy carpet and wallpaper how much I enjoy working with numbers 16 1, 2, 1, 1, 2, 2, 1, 1, 3, 4, 1, 1, 2, 2, 1, 1, 1 1.58823529412
+MOP4 ja In addition , the test will be easier in the future , but it should be cheaper too . 16 4, 4, 4, 2, 3, 4, 3, 2, 3, 4, 4, 4, 4, 4, 4, 4 3.5625
+MOP4 ja Then , I turned the picture round , and I completed the two sides of the other . 15 2, 2, 3, 2, 4, 3, 3, 2, 2, 2, 2, 3, 3, 2 2.5
+MOP4 ja If so , they can share their knowledge with us? 9 3, 2, 2, 3, 3, 4, 3, 3, 4, 3, 4, 4, 2, 2, 4 3.06666666667
+MOP4 ja I cant tin horizontally mixture and tip the mixture prepared tin . 11 1, 1, 1, 3, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1 1.26666666667
+MOP4 ja However , there is something similar to the sun . 8 4, 4, 4, 4, 1, 3, 4, 4, 3, 3, 4, 4, 4, 3, 4, 4, 4, 3 3.55555555556
+MOP4 ja The U2 last night , the company announced a new video interference attractive of themselves with a grand bash at the planetarium of London ... 23 1, 1, 1, 3, 1, 2, 2, 3, 2, 1, 1, 1, 2, 2, 3, 1, 4 1.82352941176
+MOP4 ja But Mr. Leggatt hoped the lack of space for burial does not lead to a restriction in the future . 19 3, 1, 4, 4, 4, 4, 3, 3, 2, 4, 3, 4, 3, 4, 3 3.26666666667
+MOP4 ja It shows the prevalence of esophagitis in adult asthma population is clearly higher results. 14 1, 2, 2, 4, 1, 2, 2, 1, 3, 3, 3, 3, 2, 4, 1 2.26666666667
+MOP4 ja For this reason , for which a very successful , it was suitable for the production of plywood in practice. 18 4, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 2, 1, 1, 2, 2, 1 1.52941176471
+MOP4 ja However , I would like to have something to point to if they have built you a good road and rail . 20 4, 2, 3, 4, 3, 3, 4, 3, 3, 3, 3, 4 3.25
+MOP4 ja Do you can give a name to his disciples '? The ' , I asked one journalist . 14 1, 2, 1, 1, 2, 3, 2, 1, 1, 1, 2, 1, 2 1.53846153846
+MOP4 ja Tony Tom Frode , and odd Knut wait for us to arrive. 11 3, 4, 4, 4, 3, 4, 2, 4, 1, 4, 3, 2, 1, 4, 4, 3, 4 3.17647058824
+MOP4 ja It can be tuned to give a crystalline energy , white line shows the electric force of the body 18 2, 4, 3, 4, 3, 2, 3, 2, 3, 3, 2, 1, 1, 2, 3, 2, 2, 4 2.55555555556
+MOP4 ja Gift of making a comfortable environment with minimal resources . 9 2, 1, 2, 2, 2, 3, 4, 3, 4, 2, 4, 3, 3, 2, 3, 3 2.6875
+MOP4 ja One of the network in the United States , want a television interview . 12 2, 2, 4, 2, 4, 1, 2, 3, 2, 4, 1, 2, 4, 3, 1 2.46666666667
+MOP4 ja Companies trust medical research , health , youth , environmental protection , employment and , Guinness is offering financial support to organizations who are involved in the arts and education . 25 2, 1, 1, 3, 2, 2, 4, 3, 1, 2, 2, 4, 3, 2, 1 2.2
+MOP4 ja Gang of Muslim extremists believe her story , the result was disastrous . 11 3, 2, 1, 2, 1, 3, 2, 2, 4, 1, 2, 3, 2, 2, 2, 3, 3, 2 2.22222222222
+MOP4 ja The rain turns on the campground their mud , it will fill the water tank of Famagusta . 16 2, 1, 2, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1 1.25
+MOP4 ja Workshops and the second devised , Polytechnic of Napier , was designed to prepare the staff of the University for the validation event . 21 2, 4, 2, 1, 3, 1, 3, 1, 4, 3, 3, 1, 1, 4, 2, 4, 3 2.47058823529
+MOP4 ja Questions can be asked speakers ( see below ) , by the player ( would throw or simply ) or simply have thrown 18 2, 1, 2, 2, 3, 1, 3, 1, 2, 1, 1, 4, 1, 2, 1 1.8
+MOP4 ja And they , I wish them to or we do? X. 10 1, 1, 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.17647058824
+MOP4 ja Less immediate , but there was a large potential impact of the limiting factor of the second . 16 1, 3, 4, 3, 3, 3, 3, 2, 2, 3, 2, 2, 2, 2, 2 2.46666666667
+MOP4 ja I hope to carry them out , just that there is a responsibility and still seems to me that she is making all the rules it . 25 2, 3, 1, 2, 1, 2, 2, 3, 2, 3, 2, 2, 2, 2, 2, 2 2.0625
+MOP4 ja Nest is complete, the men set off in search of the woman . 12 2, 1, 2, 2, 3, 3, 3, 4, 3, 3, 3, 1, 1, 1, 2, 2 2.25
+MOP4 ja They made it clear that it was the victim of marital rape , them . 13 3, 2, 1, 2, 1, 2, 1, 1, 3, 1, 2, 2, 2, 2, 1 1.73333333333
+MOP4 ja The government , . , Which has plans investments in projects of sustainable development and reforestation , to reverse the process 17 1, 3, 3, 2, 2, 4, 1, 3, 3, 3, 2, 1, 2, 1, 2 2.2
+MOP4 ja He is not willing to compare the railway of England and France . 12 4, 3, 3, 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4 3.64705882353
+MOP4 ja Place the child on his back , and remove debris of any in his mouth with a finger by turning his head . 21 3, 3, 2, 2, 3, 2, 4, 4, 2, 2, 2, 3, 4, 3, 4 2.86666666667
+MOP4 ja Strach may be 37 , but who really gives a shit ? 10 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.8125
+MOP4 ja In return , the church cut a figure somewhat uncertain . 9 3, 3, 1, 3, 2, 3, 2, 3, 4, 3, 1, 2, 3, 4, 3, 2 2.625
+MOP4 ja However, the offer is rejected is almost certain it . 9 1, 2, 1, 3, 1, 2, 1, 1, 1, 2, 2, 2, 1, 3, 1 1.6
+MOP4 ja Smile , Harry put the letter back in the envelope . 9 4, 2, 4, 1, 2, 2, 1, 3, 1, 2, 4, 2, 2, 2, 3, 1 2.25
+MOP4 ja As the top of the night , I would look great on the beach under the jacket or blouse under the considerable work for it . 24 1, 1, 3, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 2 1.375
+MOP4 ja They also , please read the representative works of modern Chinese history and tradition , literature , philosophy , religion . 16 1, 2, 1, 2, 1, 1, 2, 2, 3, 1, 1, 2, 2, 3, 1, 2, 1, 1 1.61111111111
+MOP4 ja He says his friends want to know all the secrets of his . 12 2, 4, 3, 2, 4, 4, 3, 2, 2, 3, 3, 3, 3 2.92307692308
+MOP4 ja You sophisticated , if you prefer brass finish , it is the cost and good choices Brass Dream fire £ 399 by Valor . 20 1, 1, 1, 1, 1, 2, 1, 1, 2, 3, 1, 1, 1, 2, 3, 2 1.5
+MOP4 ja If you've done it ' , so far , it is a miracle of the maximum has been done since the days of Jesus people exactly . ' 23 1, 3, 1, 2, 1, 1, 2, 3, 1, 1, 1, 1, 2, 2, 1 1.53333333333
+MOP4 ja She was temporarily suspended in order to kick something in the dark , pick it up . 15 3, 2, 1, 1, 2, 3, 2, 3, 3, 1, 4, 1, 2, 2, 3, 1 2.125
+MOP4 ja ' I 'm from India back just , ' he announced that important . 9 1, 1, 1, 2, 3, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.23529411765
+MOP4 ja It's like the discovery place every time an object you different but interested in going back is you . 18 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 2, 2, 1 1.5
+MOP4 ja While reticent about Ferguson is sociable , McLaren holds a lawyer of his own . 13 3, 4, 1, 3, 1, 1, 2, 1, 4, 2, 2, 1, 3, 1, 1 2.0
+MOP4 ja I think she made a last attempt one deacon before departure . 11 1, 1, 1, 1, 3, 2, 2, 3, 3, 3, 3, 2, 1 2.0
+MOP4 ja Air Show : famous red arrow is to provide a spectacular finish to the South Air Show . 16 2, 2, 3, 3, 1, 3, 4, 2, 2, 2, 3, 2, 2, 2 2.35714285714
+MOP4 ja Add juice and orange peel and grated , eggs , sugar , cornstarch , and ginger . 12 3, 4, 1, 3, 1, 2, 3, 4, 4, 4, 3, 2, 3, 1, 3, 4 2.8125
+MOP4 ja If there is a referee younger than me , it will prove that someone has the courage true . 17 2, 3, 2, 3, 2, 1, 3, 1, 2, 3, 2, 2, 3, 2, 1 2.13333333333
+MOP4 ja Pack : Minimal Packaging Some are designed to reduce waste during manufacture. 11 4, 2, 3, 1, 3, 2, 4, 2, 3, 1, 2, 4, 2 2.53846153846
+MOP4 ja Mannikin ran before jump , of Cranston up and down the capital . 11 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 3, 2 1.30769230769
+MOP4 ja You must Matey for potato peeling 'to me , you must be ready for your guests to take the night of surgery . ' 20 3, 1, 3, 1, 2, 1, 1, 1, 1, 3, 1, 2, 1, 1, 1, 1, 2, 1 1.5
+MOP4 ja It is said to be a candidate for another for DON HOWE take the NEW YEAR INTO U.S. R4 this morning . 21 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 4, 1, 2, 1, 1, 2 1.4375
+MOP4 ja It is one of the way the Holy Spirit is to evoke a prayer to people of Messiah . 18 2, 2, 2, 2, 1, 3, 3, 1, 4, 4, 1, 1, 1, 2, 3, 3 2.1875
+MOP4 ja The owner of Sega is larger in the department of pants . 11 3, 1, 2, 1, 2, 3, 1, 2, 4, 3, 4, 4, 4, 2 2.57142857143
+MOP4 ja I want to know her business , I 'm sick just outside hiking and reporters inside . 14 1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1 1.30769230769
+MOP4 ja Or if , go into her kitchen , and interference . 8 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 2, 3 1.375
+MOP4 ja However , in 1976 , local governments in East London , was able to publish the benefits to business of each region . 19 2, 2, 1, 4, 3, 3, 3, 4, 2, 4, 3, 4, 3, 1 2.78571428571
+MOP4 ja This price and product detailed description , might be what the contents of the complaint , or idea , of new products . 19 1, 3, 1, 4, 1, 2, 2, 1, 3, 1, 1, 2, 2, 1 1.78571428571
+MOP4 ja Accounted for 15% for 28.5% of total loans from London in 1991 , Japanese banks other banks , the Bank of America 40.7% in London . 23 3, 1, 1, 2, 1, 1, 2, 2, 1, 2, 4, 4, 1, 1, 2, 1, 3 1.88235294118
+MOP4 ja Before it was due to what they have left , mother of Catherine had come a day home . 17 1, 3, 1, 1, 2, 3, 3, 1, 2, 4, 1, 4, 2, 2, 2, 2, 1, 2 2.05555555556
+MOP4 ja And wants to Twickenham meeting with either Hitchin or Kidderminster Carolians in the finals . 14 3, 1, 4, 2, 1, 3, 1, 1, 1, 1, 2, 1, 4, 1, 3 1.93333333333
+MOP4 ja And then who was Elsie , what happened to her? 9 3, 3, 3, 4, 3, 3, 4, 3, 4, 3, 3, 3, 4, 3, 3, 4 3.3125
+MOP4 ja Staring at his eyes , look at the curb hunger there , her heart seemed to be reduced then to swell inside of her . 22 3, 1, 1, 2, 2, 2, 1, 3, 2, 1, 2, 1, 1, 2, 1 1.66666666667
+MOP4 ja Happiness of enlightenment and transformation , penetrate to the marrow of the bone very his . 14 1, 1, 2, 1, 1, 2, 1, 2, 4, 1, 1, 2, 2, 1, 1 1.53333333333
+MOP4 ja - One of the respondents in the control sample , had owned two of the fourth and three characteristics , all three . 19 2, 1, 1, 2, 2, 1, 2, 3, 3, 3, 2, 1, 2, 3, 4, 2 2.125
+MOP4 ja You wonder why - but , I mibbe to be thanks to the MA 12 1, 1, 1, 1, 1, 1, 2, 3, 2, 1, 1, 2, 1, 1, 2, 3, 2 1.52941176471
+MOP4 ja This thick , is an important Bernese Alps Special region , skirt reading a book of previous somewhat . 16 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1 1.06666666667
+MOP4 ja Beautiful flowers and dark stripes , fast , strong interior of golden yellow and fragrant , honey , purple tinged with the plain gray on the outside , . 23 1, 3, 3, 4, 4, 4, 2, 1, 2, 3, 3, 1, 2, 1, 1, 4 2.4375
+MOP4 ja There is considerable knowledge of young people about the harmful effects of smoking , people who take or smoke , do not go outside of purely ignorance . 25 1, 1, 2, 2, 2, 3, 2, 1, 1, 1, 1, 1, 3, 1, 3 1.66666666667
+MOP4 ja If they are wise , they , and where they are , do not say they . 13 1, 4, 2, 1, 1, 1, 2, 1, 3, 1, 3, 1, 1, 1, 1, 2 1.625
+MOP4 ja Annual sales of tandem was 24 % increase $ 1.6 billion . 9 4, 1, 1, 2, 3, 1, 1, 3, 4, 2, 1, 1, 1, 3, 2 2.0
+MOP4 ja The Gwyneth Woody , Roihatazuri was muttered about commissioned the old people like garbage when I said was dismantled health services secretly we . 22 2, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1 1.17647058824
+MOP4 ja Man could you please get off freely without scar was discarded and his wife and children for another woman ? 19 1, 1, 3, 2, 1, 1, 1, 1, 3, 1, 1, 1, 3, 1, 2, 4, 1, 1 1.61111111111
+MOP4 ja Cats Protection League Bazaar , Congress Room , Royal Baths Assembly Rooms , Crescent road . 12 1, 1, 2, 1, 1, 3, 4, 1, 4, 3, 1, 2, 4, 2, 1 2.06666666667
+MOP4 ja I'm worried about the impact on the 600,000 people considered their findings , and are affected by the release of radiation . 20 3, 2, 2, 2, 3, 2, 3, 2, 4, 3, 3, 4, 3, 2, 4 2.8
+MOP4 ja Viol tried to flag down another one , but the driver was ignoring him . 13 4, 4, 2, 4, 3, 4, 4, 4, 3, 4, 4, 4 3.66666666667
+MOP4 ja Macro function of cross- application -oriented graphical programming tools, and application programming interface is also provided . 15 4, 3, 3, 4, 2, 2, 1, 1, 4, 4, 2, 3, 3, 4, 3, 3 2.875
+MOP4 ja Third , uncertainty surrounds the future of the industry now . 9 3, 4, 4, 3, 3, 4, 3, 3, 4, 4, 2, 3, 3, 3, 3, 4, 4 3.35294117647
+MOP4 ja As everyone knew , to raise the Arab army against Turkey on its own , it has not been led by him , ? 20 1, 3, 2, 1, 2, 1, 2, 1, 1, 3, 2, 1, 1, 1, 1, 2, 2 1.58823529412
+MOP4 ja It is essential for both the holiday schedule and planning of the cooperation plan closest to and from each unit manager and distribution officer . 24 1, 1, 1, 2, 1, 3, 2, 2, 3, 2, 2, 3, 3, 1, 3 2.0
+MOP4 ja There is no sign of learning from '10 that robust criticism , body convincing no evidence , failed ' . 15 1, 1, 1, 1, 1, 1, 1, 2, 1, 4, 1, 1, 1, 1, 1 1.26666666667
+MOP4 ja The survival time , I was defined as the period between the death and surgery . 14 2, 4, 2, 1, 1, 2, 4, 2, 3, 3, 1, 2, 1, 2, 1, 2, 2 2.05882352941
+MOP4 ja The , 32 Mr. Tadgell, she rented a flat in Australia and Joanna and progresses to waitress at the casino from cleaner . 21 2, 1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1 1.3125
+MOP4 ja Just eyeing the Thalys to tremble carefully same eve , Daurog to go about their business . 15 1, 1, 1, 1, 3, 1, 1, 3, 1, 3, 1, 1, 1, 1, 2, 1, 2, 2 1.5
+MOP4 ja I asked my friend from Scotland Yard to help . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 ja The children fell back on either side without noise and glared indignantly about him , Jenks said , and marched along the corridor . 21 3, 3, 3, 4, 4, 3, 4, 4, 3, 2, 3, 3, 4, 2, 3, 3 3.1875
+MOP4 ja Detective your detective story , of course , walking around in search of information . 12 1, 1, 1, 2, 1, 3, 3, 4, 2, 3, 2, 1, 4, 2 2.14285714286
+MOP4 ja So , you are working on a political model of peer group and meaning photography ? 14 1, 1, 1, 4, 2, 3, 1, 3, 4, 1, 4, 3, 4, 3, 2 2.46666666667
+MOP4 ja It is not like the old days people used to live in the city and village , knew or something that great-great- grandpa horse thief . 24 1, 4, 2, 1, 1, 2, 1, 2, 3, 1, 1, 1, 2, 1, 2, 2 1.6875
+MOP4 ja Directives , speech that was reported to be had to the application of election and parliamentary paper is now available . 19 3, 1, 1, 2, 1, 3, 2, 1, 2, 2, 1, 1, 3, 4, 3, 2 2.0
+MOP4 ja About running north-south , with it lying Ryknild Street between also , as is another ; branch north of the road Tiddington 19 1, 1, 1, 1, 2, 4, 1, 1, 1, 2, 4, 1, 2, 1, 4, 1, 1, 1 1.66666666667
+MOP4 ja That bathroom feel free to ask , ' If you want to use yourself . 12 2, 1, 1, 2, 1, 3, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1 1.41176470588
+MOP4 ja When the Indians went to hunt , or for animals , whether for Indian rival , firepower they were fatal . 17 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1 1.17647058824
+MOP4 ja One in three women said they is not getting enough respect from men and boss . 15 1, 2, 3, 2, 3, 4, 2, 2, 3, 1, 2, 2, 1, 2, 3, 1 2.125
+MOP4 ja ' After the end of a great team of our ' 86 us for a while , were building a sand castle - is collapse all the time they . 25 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1 1.13333333333
+MOP4 ja I was raised in order to find that everyone was the Colonel Fagg to this establishment strangely stunned by courtesy amiss . 21 1, 1, 1, 1, 2, 1, 1, 3, 4, 3, 2, 2, 1, 2 1.78571428571
+MOP4 ja I recorded eight years ago a double level - one person is showing signs of poor health in six trees of all of Switzerland . 23 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1 1.16666666667
+MOP4 ja LEFT: during a session at the Hampshire Lepestone point , decorator Kevin Burton and painter , latch on plaice of 14 ounces 2 pounds of this initial . 25 1, 1, 1, 2, 1, 3, 1, 4, 1, 3, 1, 1, 1, 2, 2, 1 1.625
+MOP4 ja It is estimated that 65 % of the transaction is spot , rest and are getting forward . 15 3, 2, 1, 2, 1, 2, 1, 3, 2, 4, 1, 3, 3, 2, 1, 4 2.1875
+MOP4 ja Mob as gathered , assistant military attache asked Andrew for pipe performance episode of Reykjavik . 14 1, 2, 1, 1, 1, 1, 4, 4, 2, 1, 1, 1, 1, 1, 2 1.6
+MOP4 ja This was the need to qualify later call to the bar . 11 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 3, 1, 2, 1, 3, 1, 2 1.47058823529
+MOP4 ja I look out he comes here , for this man ' . ' 9 1, 1, 1, 2, 2, 3, 1, 1, 2, 2, 1, 1, 1, 2, 1, 2 1.5
+MOP4 ja I think ' I would not have been mischief gon you have a fit . 13 3, 2, 1, 1, 1, 1, 1, 1, 1, 3, 1, 2, 2, 2, 1 1.53333333333
+MOP4 ja He was not able to go through it again everything . 10 3, 2, 2, 4, 1, 1, 2, 3, 4, 2, 4, 1, 2, 2 2.35714285714
+MOP4 ja Will you help you find what happened we '? ' 8 1, 1, 1, 1, 2, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1 1.22222222222
+MOP4 ja To give the skills required to perform ( relating to Rule 4 ) children without difficulty simple mathematical functions 17 2, 1, 1, 2, 2, 2, 2, 3, 2, 1, 2, 3, 1, 3, 1, 1, 2 1.82352941176
+MOP4 ja Distinction of equality in use and distribution of social services and equity is essential to discussions on health disparities . 19 4, 4, 3, 4, 2, 3, 4, 4, 3, 1, 4, 3, 2, 4, 4 3.26666666667
+MOP4 ja After you have the tea , I would go to bed me. 11 2, 2, 1, 1, 2, 2, 2, 1, 1, 2, 1, 3, 1, 4, 2, 2 1.8125
+MOP4 ja Malt dispatch purchase of barley , intake , laboratory , dipping , germination , and the kiln was included in the tour comprehensive . 18 1, 1, 4, 1, 1, 3, 1, 2, 2, 3, 1, 2, 2, 3, 3 2.0
+MOP4 ja After all , was the only command of the small force he was able to break the system . 17 2, 2, 2, 1, 2, 1, 3, 2, 3, 2, 2, 1, 1, 4, 2, 2, 4 2.11764705882
+MOP4 ja ' I did not want to be a superstar , I wanted to be able to play just right . 17 4, 4, 4, 3, 4, 4, 4, 3, 3, 4, 4, 3, 4, 3, 4, 4 3.6875
+MOP4 ja Registration organization of ship Lloyd's Register , the largest , being sued in the United States in the fire ship 159 people died two years ago . 24 1, 3, 2, 1, 3, 3, 2, 2, 2, 1, 1, 1, 2, 1, 2 1.8
+MOP4 ja Not preclude , of course , this is an important social reality is that crime and violence in modern society . 18 3, 2, 4, 1, 2, 1, 2, 2, 2, 2, 3, 1, 3, 4, 1, 3, 2, 2, 2 2.21052631579
+MOP4 ja They are , in a game about Kappa energetic 4-A- side and volleyball net strung between palm trees two . 18 4, 1, 1, 1, 4, 2, 2, 1, 1, 1, 2, 2, 1, 3, 1, 1, 1, 1 1.66666666667
+MOP4 ja The administrative structure of the partnership with the emphasis of different institutions to coordinate , tend to suppress the unusual in any case . 22 4, 3, 2, 2, 3, 2, 3, 3, 3, 2, 1, 1, 4, 3, 3, 1, 1, 2 2.38888888889
+MOP4 ja While he told me about his childhood , we walked outside Gloucester around solemnly and in the precincts of the cathedral . 20 2, 3, 3, 4, 4, 3, 4, 2, 2, 3, 2, 4, 4, 2, 3 3.0
+MOP4 ja ( By UK standards ) reasonable that a few days of writing my plan , dawned it is pointed out that day . 19 1, 1, 1, 1, 1, 3, 3, 1, 1, 1, 3, 1, 1, 1, 2, 2 1.5
+MOP4 ja Whether has important pathogenic directly as Wegener's granulomatosis , the autoantibodies has not been determined. 14 1, 1, 2, 2, 3, 2, 2, 3, 2, 4, 2, 1, 1, 1, 1, 2 1.875
+MOP4 ja In response TV , press publicity incident spread , urged the civil rights march on August 24, Dungannon years from Coalisland. 19 1, 1, 2, 1, 2, 1, 1, 1, 2, 2, 3, 1, 3, 1, 1, 4 1.6875
+MOP4 ja Of course , seeds , is much richer in nutrients than the fleshy coating of any . 14 3, 1, 2, 1, 1, 1, 3, 2, 2, 1, 2, 2, 2, 1, 3, 2, 4 1.94117647059
+MOP4 ja Angler has been accused contamination for reduction in the number of fish in several sections of the river Severn and Avon . 21 2, 4, 2, 3, 1, 2, 1, 4, 1, 1, 3, 3, 3, 2, 2, 3 2.3125
+MOP4 ja The O- level Robin children , and refused to absolute magnitude , marking time , he refused it and gave way to GCSE within the class of all . 25 1, 1, 1, 2, 1, 3, 1, 1, 1, 2, 1, 1, 1 1.30769230769
+MOP4 ja Do you aware of the obstetric interventions change practice rate ? 10 1, 2, 1, 1, 3, 1, 1, 1, 3, 2, 1, 1, 1, 4, 1, 1 1.5625
+MOP4 ja It is a lotion of light , oil-free makeup remover with synergy Ultra Gentle Eye and extract of rose , £ 2,99 / 200 ml soothing properties . 23 1, 2, 1, 3, 3, 2, 3, 2, 2, 1, 3, 1, 2, 3, 2 2.06666666667
+MOP4 ja Physical as well as moral recognition , therefore , Tate and Stewart , was the impermanence of the world degradation of more energy . 20 1, 2, 1, 1, 1, 3, 1, 1, 3, 1, 2, 2, 1, 2, 1, 1 1.5
+MOP4 ja This rule will be subject to ( see Chapter 5) number of exceptions . 12 2, 4, 4, 3, 2, 3, 3, 3, 2, 4, 2, 4, 2, 2, 3, 3, 4 2.94117647059
+MOP4 ja Malcolm , have collected an old piece of 10p on behalf of his daughter for a kidney transplant association . 18 3, 3, 4, 2, 1, 2, 1, 1, 2, 4, 3, 2, 2, 2, 2, 2, 4 2.35294117647
+MOP4 ja We would like to thank Ken Byron to set up the required journal of many dance and drama education . 19 1, 2, 2, 1, 2, 4, 4, 2, 3, 2, 2, 3, 2, 2 2.28571428571
+MOP4 ja I was associated with gastroesophageal reflux undoubtedly cycling . 8 2, 3, 2, 1, 1, 1, 2, 2, 1, 2, 1, 1, 1, 2, 4 1.73333333333
+MOP4 ja True , the tape of Tom , as opposed to the story of the ghost of bedtime , it is a scientific analysis to this tone . 23 2, 1, 4, 2, 1, 2, 3, 3, 2, 1, 1, 2, 1, 2, 2 1.93333333333
+MOP4 ja As suggested in argument , it would be to swallow the elephant and strain gnats certainly . 15 2, 1, 1, 1, 1, 2, 1, 2, 1, 3, 1, 1, 1, 1, 1 1.33333333333
+MOP4 ja First job that takes a typing course , will have me , I have moved the 50 miles up the road here desperately . 21 1, 1, 2, 1, 1, 3, 1, 2, 3, 2, 1, 1, 2, 1, 1, 1 1.5
+MOP4 ja Dr. Banda wave the fly of his moment related whisk . 10 1, 4, 2, 2, 1, 1, 1, 1, 2, 1, 1, 4, 4, 2, 1, 1 1.8125
+MOP4 ja Both were former members leftist extremist Red Army (RAF). 8 1, 1, 2, 4, 4, 3, 2, 4, 3, 2, 2, 2, 2, 1, 3, 4 2.5
+MOP4 ja However , in any case I am grateful for your help "" - change - again her tone "" . ' 14 3, 2, 3, 1, 1, 1, 1, 3, 1, 1, 3, 1, 2, 3, 3, 1 1.875
+MOP4 ja Tickets Sergeant 6155 , an extension from 6331 ( telephone 091 567 Gordon Perkin from . 13 1, 1, 1, 2, 1, 1, 2, 1, 3, 2, 3, 1, 3, 1, 1, 1 1.5625
+MOP4 ja Your joking about Porsche think , I please do not you ? 10 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 2 1.26666666667
+MOP4 ja They expressed their anger with the pious ballads obscene echo of the story down under . 15 1, 2, 3, 3, 1, 1, 3, 1, 3, 3, 3, 3, 1, 1, 1, 1, 3, 3 2.05555555556
+MOP4 ja Religion: Christian ( Orthodox Bulgaria ) , Islam is practiced by a small number of large and small Pomak Turkey . 17 4, 1, 4, 1, 1, 1, 2, 1, 3, 1, 1, 3, 4, 2, 1, 1, 2 1.94117647059
+MOP4 ja Doctor , "" do not have here is black dog I said ' . 10 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1 1.3125
+MOP4 ja Learning skills, manipulative as typing like this takes time . 9 4, 2, 4, 4, 3, 3, 3, 1, 3, 1, 1, 2, 3, 2, 2, 2 2.5
+MOP4 ja Located in the wall of the corridor in front door phone joint us. 13 1, 1, 2, 1, 2, 1, 4, 2, 3, 1, 2, 1, 1, 1, 2 1.66666666667
+MOP4 ja Mr. Carpenter said: ' all victims were frail and elderly . 9 3, 3, 3, 4, 4, 4, 4, 4, 3, 4, 4, 3, 3 3.53846153846
+MOP4 ja They say a gay you are known , you can believe it , "" the third has been added we ' . 17 1, 1, 2, 1, 1, 1, 1, 1, 3, 1, 4, 1, 3, 2, 1 1.6
+MOP4 ja BALANCED calcium intake , means the health YOU TOMORROW than today 10 1, 1, 2, 1, 2, 2, 1, 3, 1, 1, 3, 1, 1, 1, 2, 3 1.625
+MOP4 ja The bishop , when he moved into the house 10 years ago , was on the market for 18 months , it had become run down very . 24 3, 3, 1, 1, 1, 2, 2, 1, 1, 2, 2, 1, 1, 2 1.64285714286
+MOP4 ja He said, ' I thought might help the student anti- draft the military camp around when I go to America ' and . 20 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 3, 2, 3, 1, 1, 2, 3, 2, 2, 1 1.65
+MOP4 ja Candidates may need to be taken into account when fixing the schedule and people from their own separate other , are as follows . 22 3, 1, 2, 2, 1, 3, 1, 3, 2, 2, 3, 2, 1, 1, 2, 1, 4, 3, 1 2.0
+MOP4 ja Before she realizes , her mouth was to form a word . 10 3, 1, 2, 4, 1, 3, 3, 1, 2, 2, 3, 1, 3, 3, 3 2.33333333333
+MOP4 ja Water temperature : temperature range ° of normal 72 -76 ° F. 8 3, 3, 4, 1, 3, 2, 4, 2, 3, 2, 4, 1, 4, 2, 2 2.66666666667
+MOP4 ja It is a painful start off surface as red mark first . 11 1, 1, 2, 1, 1, 4, 2, 1, 3, 1, 1, 1, 1, 2, 1, 2, 2 1.58823529412
+MOP4 ja What are we really ' , thinking , are struggling in the time of this point , and we do is about what ? ' 19 1, 1, 1, 1, 1, 1, 2, 3, 1, 1, 1, 2, 1, 2 1.35714285714
+MOP4 ja I do not think Chris and band and know each other well at a time . 15 3, 1, 2, 1, 3, 1, 2, 2, 2, 3, 3, 2, 2, 2, 2 2.06666666667
+MOP4 ja The ' Donna , we said that it should call the police . 10 1, 1, 1, 2, 1, 2, 3, 1, 2, 1, 3, 1, 1, 1, 1, 2, 1, 1 1.44444444444
+MOP4 ja It is like to moist alkaline pH of a little more normal , than is found in the ( usually slightly acid ) vagina , moist and airless place . 25 3, 2, 2, 1, 1, 1, 1, 2, 1, 1, 2, 1, 3, 1, 1, 1, 1, 1, 1 1.42105263158
+MOP4 ja Ann Magnuson of Bongwater also carries incense for incandescent , Kim Gordon , is carcinogenic Zippo in full flame . 17 3, 1, 2, 1, 2, 1, 3, 1, 1, 1, 2, 3, 1, 2, 1 1.66666666667
+MOP4 ja Now, she , she noticed that it had two doors to most rooms in the house , that it was looking closely . 20 1, 2, 2, 2, 2, 2, 3, 4, 1, 1, 1, 1, 1, 2, 1 1.73333333333
+MOP4 ja Being conscious that was thirsty at least , Shelley , drank these , and was a long afternoon it both . 17 2, 1, 1, 1, 1, 1, 1, 3, 1, 2, 1, 1, 2, 2, 1, 2 1.4375
+MOP4 ja But now , they argue the cost of free accounts is too high . 12 3, 4, 4, 4, 3, 3, 4, 3, 3, 2, 3, 3, 4, 4 3.35714285714
+MOP4 ja Pallistar and Bruce is injured , but what happens if you have a ( decent ) cover any of them . 17 3, 2, 1, 1, 1, 1, 1, 2, 1, 2, 3, 2, 2, 1, 2, 2, 2 1.70588235294
+MOP4 ja However , his mother has been arrested , was now to him to be responsible for the revolt in Poitou it . 19 1, 1, 2, 3, 1, 1, 3, 1, 1, 1, 1, 2, 2 1.53846153846
+MOP4 ja However, there are people you know , brilliant punch , is to ride again at some point in the future still . 19 1, 1, 1, 1, 3, 3, 3, 1, 1, 3, 2, 3, 1, 2 1.85714285714
+MOP4 ja The size of the average household , it has declined from 3.09 in 1961-1987 to 2.55 will continue to ( Table 2.6 ), respectively . 21 1, 2, 1, 1, 2, 3, 3, 2, 1, 1, 2, 4, 2, 3, 2, 4 2.125
+MOP4 ja That dialogue is expressed , form is one that suits the subject and mood of dialogue best . 16 3, 4, 3, 1, 2, 1, 3, 3, 1, 1, 3, 2, 3, 1, 2, 2, 2 2.17647058824
+MOP4 ja She had come to England from Berlin in 1930 , and I had begun her studies at Central School of Arts and Crafts . 22 2, 3, 4, 2, 3, 2, 2, 3, 3, 3, 4, 1, 3, 3, 3 2.73333333333
+MOP4 ja That it is one of the women elected prince has its drawbacks . 12 3, 1, 2, 1, 2, 1, 3, 1, 2, 2, 2, 2, 2, 2, 3, 1, 1 1.82352941176
+MOP4 ja At least , Ferdinand , now , she knew what a lot of English that has been said to pen him to feel important . 21 1, 2, 1, 1, 2, 1, 1, 2, 2, 2, 2, 1, 1, 1, 2 1.46666666667
+MOP4 ja As if to remember his manners , he saw the invitation Nicandra he . 12 1, 1, 2, 2, 2, 2, 2, 1, 1, 1, 3, 2, 1, 2, 1, 1, 1, 2 1.55555555556
+MOP4 ja ' Two methods - ask a beginner , ' a trembling voice from outside the door said . 13 1, 4, 4, 3, 4, 2, 3, 3, 2, 3, 2, 2, 2, 2, 2 2.6
+MOP4 ja Outdoors in spring seed to sow , or divide the plant in the spring , allow ( 2 feet ) 60 cm between plants . 20 2, 4, 1, 1, 1, 2, 3, 1, 1, 1, 1, 1, 1, 2 1.57142857143
+MOP4 ja Chapman was impressed with his knowledge of football injury immediately Whitaker had become an expert in his field by 1925 . 20 1, 1, 2, 1, 3, 3, 4, 2, 3, 4, 2, 3, 2 2.38461538462
+MOP4 ja Dexter , speculation had begun to share the same nagging feeling of depression since the end of the interview with Parkin , she had tormented him . 24 3, 1, 1, 3, 1, 2, 2, 2, 1, 1, 3, 2, 2, 3, 1, 1, 2 1.82352941176
+MOP4 es We still have the house of the widow , and Lincolnshire is lovely in May. ' 14 1, 4, 4, 3, 4, 4, 4, 3, 3, 3, 4, 3, 3, 3, 2 3.2
+MOP4 es My first real friend was probably a boy named Adam . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 es He wore denim overalls and with a bucket and a brush. 11 2, 1, 2, 3, 1, 4, 3, 3, 2, 4, 3, 3, 2, 2, 2 2.46666666667
+MOP4 es In the following year he had custody of the castle of Rochester. 12 3, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3 3.8125
+MOP4 es Booking is essential for a bike ride Wirral Country Park on Sunday when the leader will be Cheshire ranger Barry Jackson. 21 2, 2, 4, 3, 1, 4, 3, 2, 1, 1, 2, 3, 1, 3, 3, 1 2.25
+MOP4 es This expression is known as the fundamental theorem of Riemannian geometry . 11 1, 4, 3, 4, 4, 3, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 3 3.58823529412
+MOP4 es Greg Hocking was one of those rare people who drift into teaching and found , to his surprise , absolutely made for the job. 22 1, 2, 2, 2, 3, 3, 3, 2, 4, 3, 3, 2, 1, 3, 3, 3, 3 2.52941176471
+MOP4 es In the exercise of functions to a new minister will be responsible for many of the departmental policies . 18 2, 2, 2, 2, 3, 2, 1, 3, 3, 2, 2, 2, 3, 2, 1, 2, 1 2.05882352941
+MOP4 es When Rhun in kindness gave an arm to lift your knees , still hung heavily , desperately clinging to his humility. 19 1, 1, 2, 1, 3, 1, 1, 3, 3, 1, 1, 1, 3, 4, 2, 1 1.8125
+MOP4 es The figure shows how the A- measure per unit area varies with reading the radiometer . 15 2, 4, 1, 3, 3, 4, 1, 3, 3, 4, 2, 3, 4, 3, 3 2.86666666667
+MOP4 es In some pubs serve beer handpumps fake gas . 8 1, 1, 4, 1, 1, 4, 1, 4, 1, 1, 2, 1, 1, 1, 4, 1 1.8125
+MOP4 es Indeed , complaints are often many control requirements are of TEC . 10 3, 2, 2, 1, 3, 1, 1, 3, 3, 2, 2, 2, 1, 2, 2, 1 1.9375
+MOP4 es Preliminary work began last September, following the appointment of two field officers who are employed full time on the project. 20 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.93333333333
+MOP4 es This is , of course , only a trend , and the removal of the largest local police , central police can reduce this effect. 21 2, 3, 3, 4, 3, 2, 1, 4, 4, 3, 2, 3, 2, 3, 2, 4 2.8125
+MOP4 es Tod has other dream that is a woman. 8 1, 1, 1, 1, 1, 1, 1, 2, 4, 1, 1, 2, 1, 3, 2, 2 1.5625
+MOP4 es Valuable coaching can often come from the theater school tutors who can give a fair assessment of the possibilities you may have before the audition . 25 2, 4, 3, 4, 4, 3, 4, 3, 3, 2, 3, 4, 4 3.30769230769
+MOP4 es Because simulated annealing is a stochastic algorithm , different runs of probeorder not necessarily produce the same output probe order . 19 1, 3, 1, 3, 1, 1, 1, 2, 3, 3, 1, 1, 2, 2, 2, 2 1.8125
+MOP4 es Although the music was lively , moving arms only . 8 1, 2, 2, 1, 1, 2, 1, 2, 1, 1, 2, 3, 2, 2 1.64285714286
+MOP4 es But the report also blasts authority bosses for not controlling the activities of the 58-year- old Mr. Watney , who retired early last year. 23 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 3, 3, 4, 4 3.71428571429
+MOP4 es Some, of course , respond personally ( had included shipping) . 8 1, 2, 2, 2, 3, 4, 1, 2, 3, 1, 2, 1, 4, 2, 2, 2, 4, 2 2.22222222222
+MOP4 es Four of these areas large or larger than our moon. 10 1, 2, 2, 3, 2, 2, 3, 2, 2, 2, 3, 1, 3, 3 2.21428571429
+MOP4 es The cafe itself is so full of smoke that I feel out on a bench . 15 2, 2, 2, 2, 2, 1, 2, 3, 2, 4, 4, 3, 1, 4, 2 2.4
+MOP4 es The surface need not be perfectly flat or even . 9 3, 4, 4, 3, 4, 4, 4, 1, 4, 4, 3, 4, 4 3.53846153846
+MOP4 es Since this work has been done , the draft schedule can be examined in closer detail - and probably torn . 18 3, 4, 4, 1, 4, 4, 4, 4, 4, 4, 3, 4, 2, 3, 2, 3 3.3125
+MOP4 es There are 5,733 empty housing , nearly 2,000 of which have been empty for over a year. 16 2, 4, 3, 2, 4, 3, 4, 4, 4, 3, 4, 3, 4, 2, 3, 4, 2, 3 3.22222222222
+MOP4 es Heath ( 3.3 ) summarizes a tradition influential and long tradition in the study of class differences in education. 17 4, 3, 1, 3, 3, 2, 1, 2, 3, 3, 2, 3, 3, 2 2.5
+MOP4 es This phase is believed to have been controlled by reactions between salt solutions associated with sediments and Permian volcanic rocks and underlying Devonian rocks . 24 3, 3, 4, 3, 4, 1, 4, 4, 3, 2, 3, 3, 4, 4, 3 3.2
+MOP4 es And its price - the price can be extremely useful . 9 4, 4, 2, 1, 4, 3, 3, 2, 4, 3, 2, 2, 1 2.69230769231
+MOP4 es There was significant improvement in the care of the miners in the clinic Mansfield , however , as this was much closer to their homes . 23 2, 4, 3, 3, 3, 3, 4, 4, 4, 3, 3, 4, 4, 4, 2, 3, 2 3.23529411765
+MOP4 es Gere and Basinger star in the erotic thriller Final Analysis that Warner Home Video is released in the October 18 video libraries . 22 3, 3, 2, 3, 2, 2, 2, 1, 2, 3, 1, 3, 3, 2, 2 2.26666666667
+MOP4 es I get my disappointment and sympathy at the same time. 10 4, 1, 3, 4, 3, 3, 2, 3, 2, 4, 3, 2, 3, 3, 4, 4 3.0
+MOP4 es The horse took off like an arrow from a bow. ' 10 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.94117647059
+MOP4 es The British Horse Society is anxious to find out why a third of them should have occurred just this year. 20 3, 3, 2, 2, 4, 4, 4, 3, 4, 4, 3, 4, 3, 2, 4, 3, 4 3.29411764706
+MOP4 es Made with Pertex fabrics and filling Quallofil 7 , Kompakt Lite weight only 1.2 kg and, stuff sack , reduced to 7l . 20 1, 2, 4, 3, 1, 2, 3, 1, 1, 1, 3, 1, 2 1.92307692308
+MOP4 es In exceptional circumstances , the Head of Department waived the withdrawal clause if there is a reasonable explanation for the lack of notification. 22 2, 3, 2, 1, 3, 3, 4, 4, 2, 3, 3, 2, 2, 3, 4, 4, 3, 3 2.83333333333
+MOP4 es The strategy has been so successful in the field of science and technology encountered serious problems when applied to complex social systems . 22 3, 2, 1, 1, 2, 1, 2, 4, 3, 3, 3, 2, 4, 4, 3, 2, 2, 1 2.38888888889
+MOP4 es Small specimens are sometimes confused with Synodontis petricolor . 8 3, 3, 4, 4, 4, 4, 4, 4, 3, 3, 3, 3, 4, 3, 4, 4 3.5625
+MOP4 es They called out in the very early stage and it was hot , very hot . 14 4, 2, 3, 4, 3, 3, 4, 4, 3, 3, 3, 4, 3, 3, 3, 4, 2 3.23529411765
+MOP4 es Your muscles , though not as tight as those of a young man swelled with the effort. 16 3, 3, 2, 4, 3, 3, 1, 2, 3, 4, 2, 3, 3, 3, 1, 3, 3 2.70588235294
+MOP4 es The review copy is a solid black , but the basic model is oiled . 13 4, 2, 4, 4, 3, 4, 4, 3, 3, 4, 4, 4, 2, 3, 3, 3 3.375
+MOP4 es Loving a man who was like a louse . 8 3, 1, 3, 4, 3, 3, 4, 4, 3, 3, 4, 4, 3, 2, 3, 3, 4 3.17647058824
+MOP4 es This fundamental movement can not take place except in a liquid medium . 12 4, 3, 1, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.66666666667
+MOP4 es Upper Stowe Stowe was once called Butter London because the company collects butter here . 14 1, 2, 2, 4, 3, 3, 4, 4, 4, 3, 3, 3, 4, 2, 2 2.93333333333
+MOP4 es Induction of adhesion in certain subsets of T cells by specific cytokines would make the process more flexible lymphocyte recruitment and selectively. 22 1, 1, 2, 1, 2, 3, 3, 4, 4, 3, 4, 1, 3, 2, 4, 4 2.625
+MOP4 es If I had been in your place I would have walked right over it. ' 14 4, 4, 3, 3, 3, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.75
+MOP4 es He closed his eyes and saw the movement of his chest had stopped. 13 4, 4, 3, 4, 4, 4, 3, 4, 4, 3, 2, 3, 4, 4, 2, 3 3.4375
+MOP4 es A friend to everyone who knew ... much loved and missed . 10 3, 1, 2, 3, 1, 4, 3, 3, 4, 3, 3, 2, 2, 3 2.64285714286
+MOP4 es - But he missed - walls were built on it , the paper had disintegrated. ' 12 2, 1, 4, 1, 1, 2, 1, 1, 2, 3, 1, 1, 1, 1, 1, 2, 2 1.58823529412
+MOP4 es He's going to buy a new typewriter, that old thing practice makes a noise like the trumpet of a candyman . 20 3, 1, 2, 1, 3, 3, 2, 3, 4, 1, 1, 1, 1 2.0
+MOP4 es It is among the qualifiers for the Lancome Trophy in Paris . 11 4, 4, 3, 4, 2, 4, 4, 4, 2, 4, 4, 4, 4, 4, 3 3.6
+MOP4 es Robe for you ? - Protest amazed Laura replied ,"" I would make time . 11 1, 1, 2, 2, 1, 2, 2, 2, 1, 2, 1, 2, 1, 2, 1, 2, 2 1.58823529412
+MOP4 es The maximum length prior to combustion boilers 10.5kW and 18kW output was three meters. 14 4, 3, 2, 4, 3, 4, 3, 3, 3, 4, 3, 3, 4, 4, 3 3.33333333333
+MOP4 es Getting up slowly like an automaton , went to the counter and picked up the receiver . 15 4, 2, 2, 3, 2, 1, 2, 3, 4, 1, 4, 3, 3, 1, 2, 2, 2, 2 2.38888888889
+MOP4 es They were like cogs working together, fitting into place when and where they were needed . 15 4, 4, 4, 4, 4, 4, 4, 2, 4, 4, 3, 4, 3, 4, 4, 4 3.75
+MOP4 es We're supposed to call the Lowfields or continue as before ' The Stand New East '? 14 2, 1, 4, 2, 1, 3, 2, 2, 3, 1, 1, 2, 2, 3, 3 2.13333333333
+MOP4 es Supplement per person per night £ 135 for the first night , 105 EUR for each additional night (minimum 2 people). 18 4, 3, 4, 4, 1, 3, 3, 3, 2, 2, 2, 2, 2, 3, 2, 3 2.6875
+MOP4 es You must obtain a certificate of posting , which is available for free at the counter. 15 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4 3.84615384615
+MOP4 es Second, retained 25 percent of the funds out of the system capitation formula for discretionary allocations . 16 4, 2, 3, 4, 3, 4, 4, 4, 4, 1, 4, 2, 3, 2, 2, 3, 2 3.0
+MOP4 es The modernization and industrialization of the nineteenth century Britain changed the map population. 13 3, 3, 3, 4, 4, 4, 3, 3, 2, 4, 4, 3, 3, 4, 3 3.33333333333
+MOP4 es Pallister 's rivals are: Steve Bruce (Manchester United) , Stuart Pearce (Nottingham Forest, Paul McGrath (Aston Villa) , Gary Lineker ( Spurs ) , Ray Houghton (Liverpool ) . 17 3, 4, 4, 4, 3, 3, 4, 4, 3, 4, 4, 4, 4, 2, 3, 3, 4 3.52941176471
+MOP4 es This shows that the company has learned nothing from this lesson. 11 4, 4, 4, 4, 3, 4, 4, 4, 3, 3, 4, 4, 4, 3, 4, 4, 4, 4 3.77777777778
+MOP4 es Here we have an uninterrupted view of the prospect , and what a glorious prospect is , stretching far away for miles on each side. 23 3, 2, 3, 4, 3, 3, 3, 2, 2, 3, 3, 2, 3, 2, 4, 2, 4 2.82352941176
+MOP4 es Left Debenhams wool jumper , 24.99 pounds ; chambray cotton shirt , € 15.99 , loop, 7.99 pounds ; Mill ropes washed, € 29.99 , Gibson casual shoes , £ 34.99. 21 2, 3, 3, 3, 2, 3, 3, 3, 4, 2, 1, 2, 2, 3, 3, 3, 1 2.52941176471
+MOP4 es Orthodox Judaism still teaches a separation developed the menstruating woman from contact with the men in her family. 18 3, 3, 2, 3, 1, 2, 1, 2, 1, 3, 2, 2, 3, 4, 2, 3, 1, 2 2.22222222222
+MOP4 es A recent survey revealed architectural issues in the 60 years of age in the Treatment Church Road. 17 4, 2, 3, 4, 2, 3, 3, 4, 3, 4, 3, 2, 3, 4, 3, 4 3.1875
+MOP4 es The fireplace in question was put in a huge wall that divides part of the main room. 17 3, 4, 3, 4, 4, 3, 4, 4, 3, 3, 2, 4, 4, 4, 4 3.53333333333
+MOP4 es She Burrows was another example of dedicated service. 8 2, 3, 3, 1, 4, 2, 4, 4, 2, 3, 1, 2, 1, 2, 3 2.46666666667
+MOP4 es It is an act of courage to start over in a garden , and proof of insurance for own design capabilities . 20 1, 1, 1, 2, 2, 2, 2, 3, 2, 3, 1, 2, 3, 2, 1, 1, 1 1.76470588235
+MOP4 es This deliberate emphasis unreliable and hurtful past relationships of young people raises a dilemma for residential workers . 17 3, 1, 3, 2, 2, 3, 4, 3, 3, 2, 2, 3, 3, 2, 1 2.46666666667
+MOP4 es The law of July 29, 1881 stated, "" the publication and a free press . 13 1, 1, 2, 3, 2, 3, 2, 4, 4, 3, 4, 3, 3, 2, 3, 2, 2 2.58823529412
+MOP4 es From what I can see we can go to Dersingham or the man himself. 14 4, 4, 4, 3, 3, 4, 3, 2, 4, 4, 3, 4, 4, 1 3.35714285714
+MOP4 es Turn them into public gardens and create an attractive place of an eyesore . 13 2, 3, 3, 3, 4, 1, 4, 2, 3, 3, 3, 3, 4, 3, 4, 2, 4, 3, 4 3.05263157895
+MOP4 es Mr. Hawke last week reiterated its support for the recruitment of new airline pilots abroad and rehire their former drivers in individual contracts . 23 3, 2, 2, 4, 4, 3, 3, 3, 3, 2, 2, 2, 3, 3, 3, 1 2.6875
+MOP4 es Julie , it is believed , tried to run for it , back along the wooded path Elizabeth was broken. 17 1, 2, 4, 2, 3, 2, 4, 1, 2, 2, 1, 2, 1 2.07692307692
+MOP4 es In February, the council refused to allow a variation of hours . 11 2, 4, 4, 4, 4, 1, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4 3.5625
+MOP4 es Nine schools from three Midlands LEA, will be identified by in-depth study , following a questionnaire survey . 16 3, 2, 4, 2, 3, 4, 4, 3, 4, 4, 1, 4, 3, 2, 3, 3, 2 3.0
+MOP4 es It's when you see the pretense of neutrality , as it should be , as a farce that damage to the judicial system. 21 2, 3, 2, 2, 2, 2, 3, 3, 2, 3, 1, 2, 2, 2, 3, 3, 2, 3 2.33333333333
+MOP4 es Some of the trees , vegetation and animals were mechanical creations of Mirage Enterprises. 13 4, 4, 4, 4, 4, 4, 3, 4, 4, 2, 4, 3, 4, 4, 4 3.73333333333
+MOP4 es I say that because that's what I think, although it could be that even she . 15 3, 2, 1, 1, 2, 2, 3, 4, 2, 3, 1, 2, 1, 2, 3, 1 2.0625
+MOP4 es Julie husband Tim was crying at the tomb of St. Botolph in Church Brampton , Northants . 15 3, 2, 1, 2, 4, 1, 3, 1, 3, 2, 3, 2, 3, 1, 3 2.26666666667
+MOP4 es They are scripts for NCR System 3000 , Sun , HP and IBM host DECstation . 13 4, 3, 4, 4, 1, 4, 3, 3, 4, 4, 3, 3, 3, 4, 4 3.4
+MOP4 es Invite the person closest to you to give you an honest opinion on the degree of diplomacy you exhibit . 19 4, 4, 4, 3, 3, 3, 3, 3, 4, 3, 4, 1, 4, 3, 3, 3, 3 3.23529411765
+MOP4 es We have seen your golden smile on the cover of Tatler and figure in dozens of trendy fashion magazines . 19 3, 3, 3, 3, 2, 4, 4, 4, 4, 4, 3 3.36363636364
+MOP4 es There is little room and apparently without regard to a contract by the appraiser as principal. 16 1, 1, 1, 2, 2, 4, 1, 3, 3, 2, 3, 1, 1, 4, 2, 2, 2, 2 2.05555555556
+MOP4 es The rates specified in the program files on the hard disk of the PC to allow almost instantaneous search keywords. 20 2, 3, 1, 2, 3, 2, 3, 3, 1, 2, 3, 2, 4, 2, 2, 3 2.375
+MOP4 es And the show ended as it dropped into the fire of a chorus from the rest of the family of "" unclean, unclean ' Alf . 23 1, 3, 3, 2, 1, 2, 3, 2, 3, 2, 1, 4, 1, 2, 1, 1, 3, 3, 1 2.05263157895
+MOP4 es John Taylor was an itinerant craftsman who came to Oxford in 1839 to recast the bells of the church in Loughborough. 21 3, 4, 4, 4, 3, 4, 3, 4, 4, 4, 4, 4, 4, 3, 4, 4 3.75
+MOP4 es Be flexible , if necessary suggest more time is devoted to a topic in a separate meeting . 16 4, 1, 3, 2, 2, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4 3.22222222222
+MOP4 es It was originally published by the American company Houghton Mifflin ) . 10 3, 4, 4, 4, 4, 4, 3, 3, 4, 3, 4, 4, 4, 3, 4, 4 3.6875
+MOP4 es For the truth is that no single agent affects our planet as much as we do. 16 3, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4 3.72727272727
+MOP4 es Those days are gone , thanks to our measurements. 8 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 3, 4, 3, 4, 2, 4, 4 3.64705882353
+MOP4 es Glass exploded and destroyed everything around as the wind and rain storm broke down the hall toward them. 18 4, 2, 3, 3, 2, 3, 3, 3, 4, 3, 4, 4, 3, 2, 3, 4 3.125
+MOP4 es Lay participation in service management fell , instead , community health councils were created to represent the public. 16 3, 2, 3, 4, 3, 3, 1, 4, 2, 4, 3, 4, 3, 3, 4 3.06666666667
+MOP4 es The result - The Romance of British wool - will take place in one of the largest and most prestigious stores in the world in October ( 8-18) . 25 3, 3, 2, 4, 3, 3, 4, 4, 4, 3, 4, 4, 3, 3, 4, 4 3.4375
+MOP4 es Why not surrender to the stupidity of it, instead of feeling anxiety ? 12 4, 4, 4, 3, 4, 4, 1, 3, 4, 4, 4, 4, 3, 4, 4 3.6
+MOP4 es TV presenter Keith Chegwin opened his heart before the cameras yesterday and admitted ""I am an alcoholic. 16 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.9375
+MOP4 es They settled in the south -west , and its king , Ataúlfo , held court in Narbonne . 13 3, 3, 3, 4, 4, 3, 2, 4, 3, 1, 3, 4, 2, 4, 3, 3, 1 2.94117647059
+MOP4 es Borrowers , Mr. and Mrs. Clothier , had a € 225,000 advance on his home in Silverdale Avenue, Walton -on -Thames . 16 4, 3, 3, 4, 3, 3, 3, 4, 3, 3, 3, 4, 3, 3, 3 3.26666666667
+MOP4 es Couple of fat in holiday plaids , bouncing on the children and the low g cooing over moondirt souvenir jewelry . 19 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 2, 1, 1, 1, 2 1.33333333333
+MOP4 es The Presidential Council initially appeared designed to replace the CPSU Central Committee Politburo as the main headquarters in the Soviet Union political decision. 23 2, 4, 4, 4, 1, 3, 4, 3, 3, 3, 3, 4, 2, 4, 4 3.2
+MOP4 es The affection . Knight said the proposal was half . 8 1, 1, 1, 2, 1, 2, 1, 2, 3, 3, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2 1.7
+MOP4 es Adding an associative this procedure modeler is seen to provide the possibility of mounting a process kinematics truly automated . 19 4, 2, 3, 1, 2, 3, 2, 1, 3, 2, 1, 2, 1, 2, 1, 2, 1 1.94117647059
+MOP4 es The conveyors are designed to withstand accidents , and until recently the Govenrment ruled out any possibility of a radioactive leak . 20 4, 3, 4, 4, 4, 4, 4, 3, 4, 3, 4, 3, 4, 4, 2, 4 3.625
+MOP4 es I knew I had to have a wound : she had not drowned or strangled or poisoned. 16 1, 2, 2, 3, 2, 4, 1, 2, 3, 2, 2, 1, 1, 1, 3, 3, 1 2.0
+MOP4 es Now , only half of the company's revenue comes from mainframes : the new strategy means selling smaller machines , operating software based on industry standard ""open"" . 23 3, 3, 3, 4, 1, 3, 3, 4, 4, 2, 3, 1, 3, 4, 3, 4 3.0
+MOP4 es We are firmly committed to equal treatment of men and women in pensions. 13 4, 3, 3, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.6875
+MOP4 es He will report to a board headed by Sir Robert Telford , president of Marconi , a subsidiary of GEC omnipresent. 19 3, 2, 3, 3, 3, 3, 4, 4, 4, 3, 4, 4, 3, 4, 3, 4, 4 3.41176470588
+MOP4 es Take the movement A and B nonrelativistic so . 8 2, 1, 2, 2, 1, 2, 1, 4, 2, 1, 2, 1, 1 1.69230769231
+MOP4 es A training allowance and travel expenses for the 16 -week program. 10 3, 2, 4, 3, 3, 4, 4, 3, 4, 3, 3, 4, 4, 4, 3 3.4
+MOP4 es Note the different cell types , such as muscle , skin, gut, and nerve . 12 4, 4, 3, 4, 4, 4, 2, 4, 4, 4, 3, 4, 4, 3, 3 3.6
+MOP4 es Bridget reported that the number for the Easter course were much lower than in the previous courses held in Avery Hill . 21 3, 4, 4, 1, 2, 2, 3, 3, 4, 3, 4, 3, 3, 4, 2, 3 3.0
+MOP4 es Single room £ 4.00 per night , extra night £ 16.00 per night 10 1, 4, 3, 4, 3, 2, 4, 4, 4, 3, 3, 4, 3, 3, 2, 3 3.125
+MOP4 es ( 13 ) , who were also unable to detect an P3A + α subunit transcription in muscle of chicken, beef or mouse , the mouse thymus torpedo electric organ . 24 1, 2, 1, 1, 1, 3, 1, 1, 2, 2, 3, 1, 2 1.61538461538
+MOP4 es Because the area around Cullbridge is rich in rare species. 10 3, 4, 3, 4, 4, 4, 4, 4, 4, 2, 4, 4, 3, 3, 4, 4, 4 3.64705882353
+MOP4 es In a late spring cold can be difficult to graze outside the rye in time to work up a good farm for beets. 23 1, 2, 1, 1, 1, 3, 1, 3, 2, 1, 2, 1, 1, 1 1.5
+MOP4 es Dogs Today thoroughly enjoyed and try to convey all the right things to do to our scallywag present , Monty , but not impressed . 22 1, 2, 1, 2, 1, 2, 3, 1, 1, 4, 1, 1, 1, 2, 2 1.66666666667
+MOP4 es In the 1880s Neanderthal remains were found more alike , and many paleontologists began to argue that comprise a distinct species intermediate between apes and humans. 25 2, 1, 3, 2, 3, 1, 1, 2, 4, 2, 3, 2, 2, 2 2.14285714286
+MOP4 es You will receive a personalized card with the distinctive club that can claim that Air Miles at participating Shell stations . 20 2, 3, 3, 3, 1, 2, 3, 2, 2, 2, 3, 3, 4, 2, 4, 2 2.5625
+MOP4 es The idea is to make it easy and try to get a good picture of how they feel about their own health. 22 4, 4, 4, 4, 4, 4, 4, 3, 3, 3, 4, 4, 4, 4, 3, 3 3.6875
+MOP4 es In almost all investigations of any size , a researcher may be occupied full time taking depositions during the first days after the accident. 23 3, 4, 3, 4, 3, 3, 4, 3, 1, 3, 3, 4, 4, 3 3.21428571429
+MOP4 es She had days off to Hickstead and his mother sent a note to say , ' Deirdre has its attack bilius and not entered . 22 1, 1, 1, 1, 1, 1, 2, 2, 1, 2, 1, 1, 1, 2, 1, 3 1.375
+MOP4 es But I think I had a good time . 8 4, 3, 4, 4, 4, 4, 4, 3, 3, 4, 3, 4, 4, 4, 4, 4 3.75
+MOP4 es Thinking now Mike was bad, it was disgusting, but I could not help it. 14 3, 1, 2, 4, 2, 3, 2, 4, 4, 1, 3, 4, 3, 2, 3, 3, 3, 2 2.72222222222
+MOP4 es At this time, Kendall is not new to the aristocratic Everton met seven years ago. 15 2, 3, 2, 4, 2, 1, 2, 4, 2, 2, 4, 1, 2, 2, 2, 2 2.3125
+MOP4 es Australia would be happy if the agreement led to the reopening of the Panguna copper mine , one of the largest in the world . 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4 3.8
+MOP4 es Is expected to drop to 15 % in April. 8 3, 3, 2, 1, 4, 3, 4, 4, 4, 4, 4, 4, 3, 3 3.28571428571
+MOP4 es Although net assets up 35 % to £ 458 million in Stanhope , the city is not impressed with the sector. 18 3, 2, 3, 2, 2, 2, 4, 3, 3, 4, 4, 4, 3, 3, 3, 3 3.0
+MOP4 es Because a source less abundant and less generous than this river had dried ? 13 1, 1, 1, 4, 4, 3, 1, 4, 2, 3, 3, 2, 1, 3, 2, 2 2.3125
+MOP4 es C and Ku bands , 4 GHz to 6 GHz and 11 GHz to 14 GHz , respectively, are widely used . 19 4, 4, 3, 4, 3, 4, 2, 4, 2, 4, 2, 3, 4, 4, 3, 3 3.3125
+MOP4 es I'm going back again next weekend and I can plan it. ' 11 4, 3, 4, 4, 4, 4, 4, 4, 3, 3, 4, 3, 4, 4 3.71428571429
+MOP4 es These aspects of political choice are still important, but less now than in the past. 15 3, 2, 4, 4, 4, 4, 3, 4, 3, 4, 4, 3, 4, 4, 3, 4 3.5625
+MOP4 es She did look a little foolish in front of anyone else who was watching . 14 4, 4, 4, 2, 2, 4, 3, 4, 4, 4, 3, 3, 3, 4, 4, 3 3.4375
+MOP4 es A group of businessmen and women from the northeast last night indicates that the business vote Tory not said yesterday . 20 3, 2, 1, 1, 1, 3, 1, 4, 1, 1, 2, 1, 1, 1, 2, 1 1.625
+MOP4 es Evolutionary theorizing is a matter of making inferences to the best explanation . 12 4, 3, 3, 4, 2, 3, 4, 3, 3, 3, 3, 4, 3, 4, 4 3.33333333333
+MOP4 es If so , they had not spent so much on a decent script . 12 4, 4, 3, 3, 2, 4, 3, 4, 3, 4, 4, 3, 4, 3, 3 3.4
+MOP4 es Carlsbro Sherwood 90 , acoustic combo , 150 pounds , Marshall practice amp, 45 pounds. 12 1, 2, 1, 3, 3, 3, 3, 3, 1, 1, 2, 4, 2, 1, 3, 3 2.25
+MOP4 es What was this strange note in the voice of Nick ? 10 2, 4, 3, 4, 3, 2, 3, 1, 3, 2, 2, 3, 2, 3, 3 2.66666666667
+MOP4 es Pam and Errol have two children , aged 13 and 16 years of age. 13 2, 4, 4, 4, 4, 4, 4, 4, 4, 3, 2, 4, 4, 4 3.64285714286
+MOP4 es How about learning to change things for the better and not just learn to adapt to the way things are now ? 21 3, 3, 4, 3, 4, 4, 4, 3, 3, 3, 4, 4, 4, 4, 3, 3, 4 3.52941176471
+MOP4 es It was thought - everyone assumes - would marry her once, and that would be the end of it . 17 2, 1, 3, 1, 1, 2, 2, 3, 4, 2, 2, 3, 2, 2, 4, 1 2.1875
+MOP4 es We offer services that are in the world , fully integrated and comprehensive . 12 4, 2, 1, 4, 3, 4, 4, 2, 3, 4, 4, 3, 3, 3, 3 3.13333333333
+MOP4 es The chief of staff resources management studied in college and joined the company as a line manager . 17 3, 3, 4, 4, 4, 3, 2, 2, 4, 3, 4, 4, 3, 3, 3, 3, 4 3.29411764706
+MOP4 es The remedy for static quality primary rules scheme is the introduction of what we call ""rules of change. 17 3, 3, 1, 1, 3, 3, 3, 3, 2, 3, 2, 3, 3, 4, 2 2.6
+MOP4 es Much now depends on how active a role the U.S. prepares to play Israel chivvy along to meet the Egyptian proposals . 21 2, 1, 4, 2, 1, 3, 2, 4, 3, 2, 2, 2, 4, 2, 3 2.46666666667
+MOP4 es Sometimes I wonder how it happened levels 0, ' Dad said we crawled over the cobblestones and outside the village. 19 4, 4, 2, 1, 3, 1, 3, 2, 1, 2, 1, 2, 2, 2, 2 2.13333333333
+MOP4 es In the Houses of Parliament , raised the cry : "" Burn it down . ' 11 1, 2, 2, 3, 1, 3, 4, 2, 3, 2, 2, 3, 2, 3, 3 2.4
+MOP4 es These involve much more open and distance education and creating copy and electrocopying , specific research , material packages for students. 19 1, 3, 2, 1, 1, 3, 2, 2, 1, 1, 2, 2, 2, 2, 3, 3 1.9375
+MOP4 es It seemed impossible that anyone could survive the storm of blades. 11 2, 4, 4, 3, 4, 4, 4, 4, 3, 4, 3, 3, 4, 4, 4, 4, 4 3.64705882353
+MOP4 es When women were given the artificial moon for three consecutive nights once a month , their cycles became synchronized with the lunar rhythm . 22 3, 3, 4, 3, 4, 3, 3, 4, 3, 2, 2, 3, 4, 3, 4, 3, 3 3.17647058824
+MOP4 es True, it was driven by the same mercenaries devoutly ambitions of some of his colleagues and sought artistic satisfaction whenever possible . 21 2, 2, 2, 1, 1, 3, 3, 2, 2, 3, 1, 1, 2, 2, 1, 2 1.875
+MOP4 es With snow in abundance we have a special section in this issue for those of you who want to leave the track. 22 3, 3, 4, 4, 4, 4, 4, 3, 2, 3, 3, 1, 2, 3, 4, 2, 3 3.05882352941
+MOP4 es In other words, the general manager calls for economists , statisticians , etc. information , but it is the generalist who is 'visible' . 19 3, 2, 4, 3, 3, 3, 2, 4, 4, 3, 1, 4, 4, 2, 3, 4 3.0625
+MOP4 es You fear , the two , that I could discover mom is not dead at all, is not it ? ' 17 1, 2, 1, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 2, 2 1.46666666667
+MOP4 es The SORP recommends the same to the local authorities and gives examples of accounting policies to be commented on . 19 3, 1, 4, 4, 4, 4, 4, 4, 3, 2, 4, 4, 3, 3, 4 3.4
+MOP4 es Having decided to be back racing with the tide, began a desperate race cumbersome along the edge of the tray to the breakwater. 23 3, 2, 1, 3, 2, 1, 1, 1, 2, 3, 1, 1, 3, 1, 2 1.8
+MOP4 es The birds could pose a serious risk to the health of people who eat in North Africa and southern Europe. 20 2, 2, 3, 4, 3, 4, 2, 4, 4, 4, 3, 3, 4, 4, 4, 2 3.25
+MOP4 es After a month , the pain began to subside a little and Lisa was able to get up to your room with the help of Janet . 25 4, 3, 3, 3, 2, 3, 2, 4, 4, 4, 3, 3, 3, 4, 4 3.26666666667
+MOP4 es Figure goodwill in such cases can be derived from the average net profit margin per gallon , times the daily performance . 20 2, 2, 1, 1, 2, 1, 1, 3, 1, 3, 2, 2, 3, 2, 1, 3 1.875
+MOP4 es He also had pretensions to be considered a true all-rounder , having played many episodes of attack in the lower middle order . 21 1, 3, 4, 3, 4, 4, 2, 4, 2, 4, 1, 3, 3, 3, 3, 3 2.9375
+MOP4 es It was a natural basin protected , a trick of rolling meadows along the corner. 14 1, 4, 3, 3, 1, 3, 2, 4, 2, 3, 2, 2, 3, 1, 2 2.4
+MOP4 es The basic course provides training particularly in communication theory , especially geared to the African context . 15 2, 3, 3, 3, 4, 4, 4, 3, 3, 3, 2, 3, 3, 4, 4, 4, 4 3.29411764706
+MOP4 es Then , slowly at first, began to prepare the child for the possible fate . 13 2, 2, 1, 3, 3, 3, 2, 4, 3, 2, 2, 1, 1, 2, 3, 2, 3, 1 2.22222222222
+MOP4 es My German worked like a dream, like a robot bright lights and stand back and admire as it does all the hard work . 23 1, 2, 1, 2, 1, 3, 3, 1, 1, 2, 2, 1, 1, 2, 1, 1 1.5625
+MOP4 es Jess - blunt nose contact while Samson 's hand curled around - bit him. 11 1, 1, 1, 4, 1, 1, 2, 3, 4, 1, 1, 2, 1, 2 1.78571428571
+MOP4 es It is excellent for skiing and jumping movements sides can be used , the calves are well drawn and also develop posture, balance and coordination. 24 1, 3, 3, 2, 1, 1, 2, 3, 1, 4, 1, 4, 2, 1, 2 2.06666666667
+MOP4 es Along its sides are matrices of proprioceptors in part act as external arteries . 13 2, 1, 2, 3, 4, 3, 2, 4, 2, 1, 2, 2, 2, 1, 3, 3, 2 2.29411764706
+MOP4 es North Harbour coach Brad Meurant said : ""Everyone helped his teammates. 9 2, 3, 3, 4, 4, 3, 2, 3, 3, 2, 4, 4, 3, 3, 4, 4 3.1875
+MOP4 es This year , Marks and Spencer has jumped to the top slot , Shell is now the second and third Glaxo . 19 3, 3, 4, 2, 3, 4, 3, 2, 1, 4, 3, 4, 2, 2, 1 2.73333333333
+MOP4 es Highly explosive eruptions of gas charged magma from the upper mantle produce small, shallow craters called maars . 17 4, 2, 4, 4, 4, 3, 4, 4, 2, 4, 3, 2, 4, 4, 4, 4 3.5
+MOP4 es Risk of changes in the expected rate of long-term growth of the economy. 13 2, 4, 4, 3, 3, 3, 3, 4, 3, 4, 2, 3, 3, 3, 4 3.2
+MOP4 es He stood outside the elevators at the main entrance of the hospital with other visitors . 15 3, 4, 3, 4, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 3 3.72222222222
+MOP4 es The picture is similar in relation to the gross income distribution among manual workers . 14 4, 4, 4, 3, 3, 4, 2, 4, 3, 4, 3, 4, 4, 3, 4, 3 3.5
+MOP4 es Lawyers and suitably qualified Fellows of the Institute of Legal Executives . 11 2, 3, 3, 3, 4, 3, 3, 4, 2, 4, 1, 3, 4, 3, 3 3.0
+MOP4 es They are also essential to improve the quality and quantity of the provision of health and social services , and the fight against poverty. 23 3, 3, 4, 4, 4, 4, 4, 2, 3, 4, 4, 2, 4, 4 3.5
+MOP4 es The origins of the export success of Brazilian military instructors and small civil aircraft were very different. 17 4, 3, 2, 2, 4, 2, 2, 4, 4, 3, 4, 4, 4, 3, 4 3.26666666667
+MOP4 es In my officers , that says why should we bother . 9 1, 1, 2, 1, 1, 1, 1, 2, 2, 3, 4, 1, 1, 2, 3, 2, 1, 1 1.66666666667
+MOP4 es In the last two years of the war orbiting visit each station and fleet in my endless search for Pathfinder . 20 4, 2, 4, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2 1.69230769231
+MOP4 es The EC does not address education policy or national health . 10 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.88235294118
+MOP4 es The leader makes all the decisions and instructions issues , waiting to be obeyed without question. 15 4, 2, 4, 2, 1, 4, 2, 3, 3, 3, 2, 3, 3, 2, 2 2.66666666667
+MOP4 es Our research researchers ventured into central London to see if the main street shops are dog-friendly and if not, why not ? 21 1, 1, 4, 4, 4, 3, 2, 2, 4, 3, 3, 2, 3, 3, 4, 4 2.9375
+MOP4 es Is this type of string formats that we now turn . 10 4, 1, 1, 1, 3, 3, 2, 1, 1, 2, 3, 2, 3 2.07692307692
+MOP4 es He's been with me too , Brother - Tundrish answered simply . 9 4, 1, 4, 3, 4, 3, 3, 3, 3, 3, 3, 4, 4, 3, 3, 3, 3 3.17647058824
+MOP4 es Of the 18 patients who were alive at short term follow up (mean (range) 19.4 ( 10-33 ) months ), 14 were still alive in 1992 ( 69 ( 61-83 ) months). 24 4, 4, 4, 4, 4, 4, 4, 3, 3, 3, 3, 4, 3, 4, 3, 4 3.625
+MOP4 es The second approach can be a very productive strategy in a foreign language too. 14 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 3, 3, 3, 4, 4, 2 3.5625
+MOP4 es He took the gun and went to the door , making sure the horse and carriage were still securely tied . 19 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 4, 3, 4, 4, 4, 4 3.82352941176
+MOP4 es Both envelopes and writing paper have lots of fuzzy fingerprints , the only identifiable members of Maureen and father. ' 18 4, 1, 3, 4, 2, 3, 4, 3, 3, 2, 3, 2, 2, 3, 3, 3, 1 2.70588235294
+MOP4 es I do not know how many species of trees that had , perhaps more than 1,000. 15 2, 1, 2, 2, 4, 1, 3, 1, 3, 2, 3, 2, 4, 3, 3, 2, 2 2.35294117647
+MOP4 es Sheet the front window , original fireplace, built in lockers , radiator , power points , stripped wood floors . 15 3, 3, 1, 1, 3, 2, 2, 3, 2, 3, 1, 2, 3, 1, 2, 3, 3, 4 2.33333333333
+MOP4 es It was expected that the overall level of HIV infection 15-20000000 height for 2000 , of which at least three-quarters would be in the developing world . 25 2, 2, 1, 2, 1, 1, 2, 4, 2, 2, 1, 3, 2, 1, 1 1.8
+MOP4 es The result has been to destroy much of the advances in health care during the years prior to each dispute . 20 3, 4, 2, 4, 4, 4, 4, 4, 4, 2, 3, 3, 4, 4, 3 3.46666666667
+MOP4 es Woil leakage was over, and that everything had lasted less than a minute and a half. 16 4, 4, 3, 3, 2, 2, 3, 2, 1, 2, 4, 3, 2, 1 2.57142857143
+MOP4 es The laughter in his eyes when he found his belligerent look . 11 1, 2, 4, 4, 1, 2, 2, 2, 2, 3, 2, 3, 1, 1 2.14285714286
+MOP4 es They were just minutes from the train station , the service was frequent. 12 2, 3, 3, 4, 2, 4, 3, 2, 3, 3, 4, 3, 4, 3, 2, 1, 3 2.88235294118
+MOP4 es Perhaps most significant of all , three of the all-time great boxing - Ali , Robinson and Armstrong - born in comfortable circumstances . 19 3, 2, 3, 1, 2, 1, 2, 3, 3, 1, 4, 1, 1, 1, 2, 3, 2 2.05882352941
+MOP4 es The Halifax Building Society , where terrorists had planted the device , is now a pile of rubble . 16 4, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 3, 4, 4 3.8
+MOP4 es Michael Ryan has sought a rapprochement between deconstruction and Marxism. 10 3, 3, 3, 4, 4, 3, 4, 4, 4, 2, 3, 4, 3, 3, 3, 4, 4 3.41176470588
+MOP4 es No other catalog quite like the Christmas catalog OXFAM . 9 2, 1, 4, 3, 3, 3, 4, 3, 3, 2, 4, 3, 2 2.84615384615
+MOP4 es Unless more resources pumped in , this is going to happen,"" he said . 12 3, 2, 2, 1, 2, 3, 2, 3, 2, 4, 1, 3, 2, 2, 3 2.33333333333
+MOP4 es It was a way of thinking and behaving. 8 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4 3.86666666667
+MOP4 es On a slow surface , both groups rolled straight bowlers and batsmen were reluctant to take risks to break your line. 20 4, 3, 2, 2, 3, 1, 2, 1, 3, 3, 2, 1, 3, 4, 2, 3 2.4375
+MOP4 es Throughout the discussion information provided by other sites is kept confidential. 11 4, 3, 3, 3, 4, 4, 4, 4, 4, 3, 4, 3, 4, 3, 3 3.53333333333
+MOP4 es A prime minister can not safely delegate scrutiny because, once enacted, these rules affect the daily lives of 56 million British citizens. 22 4, 4, 4, 4, 3, 4, 4, 2, 3, 3, 4, 4, 3, 4, 4, 3 3.5625
+MOP4 es Somewhere in the silence between them began a telephone , urgent persistent ring . 12 3, 2, 2, 1, 2, 1, 3, 2, 3, 4, 1, 2, 3, 2, 2, 1 2.125
+MOP4 es In a number of cases required reminders ( both in writing and by phone ) . 13 3, 2, 1, 2, 1, 2, 3, 3, 2, 1, 2, 1, 1, 4, 4, 2 2.125
+MOP4 es As Montagu ( 1976 ) has pointed out time and again , the social activity of war need not have any relation to the internal state of aggression. 25 4, 4, 4, 3, 4, 3, 3, 1, 4, 4, 4, 4, 4, 4, 3, 4, 4 3.58823529412
+MOP4 es This, then , is the theory - but how does it work in practice? 12 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 4, 4, 3, 3, 4, 3 3.64705882353
+MOP4 es However, things may look somewhat different from the perspective of just above the exemption limit . 15 4, 4, 2, 4, 3, 4, 4, 3, 3, 1, 4, 3, 3, 4, 4 3.33333333333
+MOP4 es Repeating what you hear , women in the just claim that something called "" Salvadoran democracy "" is in danger. 17 1, 3, 1, 2, 2, 2, 2, 1, 1, 1, 2, 1, 2, 2, 4, 1 1.75
+MOP4 es Thomson Travel includes an airline ( backward integration ) and a chain of travel agencies (forward integration) . 14 4, 4, 3, 4, 3, 3, 3, 4, 3, 1, 4, 4, 3, 4, 4, 4 3.4375
+MOP4 es A new Methodist student chaplain has been appointed. 8 4, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 4 3.84615384615
+MOP4 es Few of London's historic houses can still be seen as planned. 11 2, 3, 3, 4, 4, 4, 3, 3, 4, 2, 3, 3, 3, 4, 4 3.26666666667
+MOP4 es Table I summarizes the clinical characteristics of these patients. 9 4, 4, 4, 4, 2, 4, 4, 4, 3, 4, 4, 4, 4, 4 3.78571428571
+MOP4 es Langer SS information , RSC , Burlington House, Piccadilly , London W1V 0BN . 10 1, 2, 2, 3, 1, 1, 1, 1, 1, 3, 2, 2, 4, 1, 1, 1 1.6875
+MOP4 es The Jarisch -Herxheimer reaction usually shortened to the "" Herxheimer "" , following the initial dose of the treatment of syphilis in a proportion of cases . 22 3, 3, 2, 3, 2, 3, 3, 3, 3, 2, 3, 1, 2, 3, 4, 3 2.6875
+MOP4 es Looking around the room , in the old , old furniture , I realized that Herbert has to be very poor . 18 3, 2, 3, 1, 2, 4, 3, 3, 4, 2, 3, 3, 4 2.84615384615
+MOP4 es They will be joined by John Tierney and John Kerr . 10 4, 4, 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.88235294118
+MOP4 es However, the trophy is in Jim's office in Peel Park and stay there . 13 1, 2, 1, 3, 3, 2, 2, 2, 3, 2, 2, 1, 2, 2, 2, 3, 2, 2 2.05555555556
+MOP4 es Homology searches of the Leeds and protein databases Swiss unable to detect any significant similarity with any other protein. 19 3, 1, 2, 2, 3, 2, 2, 1, 2, 2, 3, 4, 1, 3, 1, 2, 2 2.11764705882
+MOP4 es It could have something to do with the murder of Angy . 11 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.875
+MOP4 es The ranchers , who see themselves as the guardians of the west, say the grazing generates economic stability and feeds the nation. 21 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 3, 3, 4, 4, 4 3.82352941176
+MOP4 es This man was buried here in the fourth century . 9 4, 4, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 3, 4, 4, 4 3.8125
+MOP4 es They begin to question, and begin to dream . ' 8 3, 4, 4, 3, 3, 3, 4, 4, 4, 4, 3, 4, 4, 4, 3, 4 3.625
+MOP4 es A water softener works on the principle of "" ion exchange "" . 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4 3.9375
+MOP4 es Steve Jones ( speaking specifically about Jones' jealous Christianity) : "" Many people are simply uncomfortable to some people "" over religion "" or whatever . 20 3, 3, 1, 1, 4, 3, 3, 3, 2, 2, 2, 3, 3, 2, 1 2.4
+MOP4 es The Lorne plateau is formed by Devonian andesites and tuffs that are contemporaneous with the intrusion and mineralization Lagalochan and Dalradian schists overlie the unconformity . 25 1, 1, 2, 2, 4, 3, 1, 2, 1, 3, 3, 2, 3, 1, 3, 1, 4, 2, 4 2.26315789474
+MOP4 es He looked at Athelstan , his face beaming with pride . 9 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 3, 3 3.75
+MOP4 es She was used to drive the luxurious Saab at the time, although initially had responsibility considerably unnerved . 17 1, 3, 2, 1, 1, 1, 4, 1, 1, 1, 2, 2, 1, 1 1.57142857143
+MOP4 es We want to give children positive memories that can use during difficult times in the country to build a better country. 21 2, 3, 1, 2, 3, 3, 3, 4, 3, 3, 3, 3, 4 2.84615384615
+MOP4 es The PLO attempted to sabotage the march of Muslims. 9 3, 3, 4, 4, 3, 4, 3, 3, 4, 4, 4, 4, 3, 4 3.57142857143
+MOP4 es MOTOROLA GETS THE GLOVES OFF IN YOUR RIVAL BATTLE OLD , PRICE TO BEAT PRICES POWERPC PENTIUM 16 4, 1, 1, 1, 3, 2, 2, 1, 1, 1, 2, 1, 1 1.61538461538
+MOP4 es Like a lot of popular assumptions about it , this is wrong . 11 3, 4, 3, 3, 4, 4, 2, 4, 3, 3, 4, 4, 3, 4, 3, 4, 3, 3 3.38888888889
+MOP4 es Mutalibov Izvestia said , from his hideout in Russia, that the charges were politically persecuted . 14 3, 3, 2, 2, 4, 4, 2, 3, 2, 2, 3, 3, 3, 4 2.85714285714
+MOP4 es For Commercial Union market model explains 25 percent of the variability of returns . 13 4, 4, 2, 1, 2, 4, 4, 3, 4, 3, 2, 4, 1, 1, 2, 2 2.6875
+MOP4 es My proposal , I assure you , would be to our mutual benefit . ' 11 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 1, 4, 4 3.6875
+MOP4 es Only in the Gospel of John does not make a curious and deeply interesting statement . 15 1, 1, 2, 1, 3, 1, 2, 3, 1, 3, 1, 2, 4, 2 1.92857142857
+MOP4 es They returned for repair and construction work one day at a military base in Omagh . 15 3, 3, 4, 4, 3, 4, 3, 4, 4, 3, 3, 3, 3, 4, 3 3.4
+MOP4 es Among the best hotels of all first world ordered calmly pools state - of-the -art, satellite TV and chocolates on your pillow at night. 22 1, 1, 1, 2, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 1 1.25
+MOP4 es In an area ... four rooms had their roofs burned. 9 2, 3, 4, 3, 4, 1, 2, 4, 2, 3, 2, 2, 3, 3, 2 2.66666666667
+MOP4 es It seems strange to extend the hand of friendship and economic cooperation to the same countries that are threatening mass extermination . 21 3, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.83333333333
+MOP4 es The buildings are quite successfully transformed into a bohemian art gallery and Josef František Cubr Pilar , in the 1960s . 19 2, 1, 3, 2, 4, 3, 4, 3, 3, 3, 2, 4, 3, 1, 2, 2, 4 2.70588235294
+MOP4 es But the other part had cried against the very idea that she is the wife of another . 17 3, 3, 2, 3, 3, 4, 3, 4, 2, 4, 4, 3, 2, 3, 2 3.0
+MOP4 es It is expected that these problems or investigations to be diverse. 11 4, 2, 3, 3, 3, 2, 3, 4, 2, 4, 2, 3, 2, 3, 2 2.8
+MOP4 es Between August 1975 and December 1978, the COS -B satellite observed 2CG342 - 02 five times and named him the tenth γ -ray source - stronger. 21 2, 4, 1, 2, 2, 2, 3, 3, 3, 3, 1, 3, 4, 2, 1, 4 2.5
+MOP4 es Not like a Saturday night at all , however , not really. ' 10 2, 3, 3, 3, 4, 2, 2, 4, 4, 4, 4, 3, 2, 4, 2, 2 3.0
+MOP4 es Hoping it will not be lost when it fails 9 4, 3, 3, 3, 3, 2, 3, 2, 1, 3, 4, 3, 2, 4, 2, 3, 3, 2 2.77777777778
+MOP4 es What would you have done if you Schemichal seized and threw you off the court like last night ? 18 4, 1, 2, 1, 2, 4, 1, 4, 2, 3, 2, 2, 2, 2, 1, 4, 2 2.29411764706
+MOP4 es Once I was happy with the lower group copied it as a mirror image in the top of the image. 20 2, 4, 2, 1, 1, 2, 2, 2, 2, 1, 3, 1, 1, 1, 4, 4, 1 2.0
+MOP4 es Thereafter , the path to the double helix was clear. 9 4, 3, 3, 4, 4, 4, 4, 3, 4, 3, 3, 4, 4, 4, 4 3.66666666667
+MOP4 es Sun also is preparing your desktop Sparc Scorpion eight position for launch at the show on May 11 SunWorld . 19 2, 1, 2, 1, 1, 1, 4, 4, 3, 2, 2, 3, 3, 3, 3, 3 2.375
+MOP4 es Both political and economic accounting of the costs and benefits of soil conservation programs to others outside the affected areas is potentially relevant . 23 2, 3, 4, 3, 4, 2, 3, 3, 4, 3, 2, 2, 4, 3, 4 3.06666666667
+MOP4 es Do you agree , moreover, that there is a need to reopen the neighborhood police stations and put more emphasis on community policing ? 22 4, 4, 4, 4, 4, 4, 3, 4, 3, 3, 4, 3, 4, 4, 4, 4, 4 3.76470588235
+MOP4 es Fifteen days later Edward sealed the text and issued to all sheriffs . 12 4, 2, 2, 3, 3, 3, 4, 4, 3, 4, 3, 3, 4, 4, 3, 3, 2 3.17647058824
+MOP4 es Since then, it has continued as sharply as many television programs of long duration. 14 2, 3, 4, 3, 3, 3, 3, 3, 3, 2, 3, 4, 3, 2, 2 2.86666666667
+MOP4 es Mailed questionnaires are not returned and refused interviews . 8 1, 3, 2, 3, 4, 1, 3, 2, 2, 3, 2, 3, 2, 2, 4, 4, 3, 3 2.61111111111
+MOP4 es The operation eventually involve over 35,000 soldiers from at least nine countries . 12 4, 4, 4, 4, 3, 4, 3, 3, 4, 2, 4, 3, 3, 3, 4, 3 3.4375
+MOP4 es User interface will no longer be just a body requirements or marketing arm for USL . 15 3, 2, 2, 3, 3, 3, 4, 3, 3, 2, 4, 4, 3, 3, 2, 3, 2 2.88235294118
+MOP4 es The autopsy report is in the business Needham ! ' 8 3, 1, 2, 3, 2, 2, 3, 2, 3, 4, 3, 2, 2, 3, 2 2.46666666667
+MOP4 es Before explaining how to deal with a race course that is worth looking at what makes a sailor go faster than the other. 23 3, 3, 2, 2, 1, 3, 3, 2, 1, 4, 1, 3, 1, 2 2.21428571429
+MOP4 es Although her features looked as if they were carved in stone, in the depths of her eyes, something stirred . 19 4, 4, 4, 4, 4, 4, 4, 3, 2, 4, 4, 4, 4, 2 3.64285714286
+MOP4 es These percentages are not uniform across the country : local specialties dictated what was available. 14 4, 3, 4, 4, 4, 4, 4, 4, 4, 3, 3, 3, 3, 3, 4, 3, 4 3.58823529412
+MOP4 es We never know the exact number of deaths. 8 4, 3, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4 3.76470588235
+MOP4 es These were rejected on April 17 and 18 , respectively. 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 es Women , Art and Society is a synthesis of the work that has been advancing for twenty years on women and the visual arts. 23 3, 4, 4, 4, 3, 2, 4, 1, 2, 3, 4, 4, 3, 4, 3 3.2
+MOP4 es Its coast was established no less than twenty-two charity schools , only in Pembrokeshire. 13 2, 1, 1, 2, 3, 4, 3, 1, 2, 2, 3, 2, 3, 1, 3, 3, 1, 1 2.11111111111
+MOP4 es Ground deformation during an earthquake could bend pipes like copper wire strands . 12 3, 4, 4, 4, 4, 3, 4, 3, 4, 3, 4, 4, 4, 4, 4 3.73333333333
+MOP4 es A few days after his election , already knew how to do this "" new Pentecost "" was an Ecumenical Council . 18 1, 2, 3, 3, 1, 1, 2, 2, 3, 1, 3, 1, 3, 2, 4 2.13333333333
+MOP4 es Following Jesus as his disciples means that we also face opposition to live like him. 15 4, 4, 4, 2, 2, 2, 3, 3, 3, 3, 4, 4 3.16666666667
+MOP4 es Its wheels were met with wet grass and the whole machine and fell to his knees crumpled like an animal , shot in the chest. 24 1, 1, 3, 4, 2, 1, 3, 4, 2, 3, 2, 4, 4, 2, 4, 2 2.625
+MOP4 es Jenna stopped and glared at him , but before he could speak, she raised her face with a strong brown hand . 20 3, 4, 2, 2, 4, 4, 3, 3, 3, 2, 3, 3, 2, 4 3.0
+MOP4 es Carrington saw the sea for the first two hours , enchanted by the Scandinavian night , then went to sleep. 18 3, 3, 4, 2, 4, 4, 4, 4, 3, 4, 4, 4, 3, 2 3.42857142857
+MOP4 es It was originally recorded as a cot death and there was no investigation , but now there will be an investigation. 20 2, 4, 4, 3, 3, 4, 3, 4, 4, 3, 3, 3, 4, 4, 4, 3 3.4375
+MOP4 es It was far from the golden cut of Horizon City . ' 10 4, 4, 3, 4, 4, 3, 4, 3, 2, 3, 4, 3, 3, 4, 4, 4, 4 3.52941176471
+MOP4 es Politics in the sense that if I threw this glass of water on you in an interview, that would be a political act. 23 3, 4, 4, 3, 3, 3, 3, 4, 2, 3, 4, 4, 3, 3 3.28571428571
+MOP4 es So you just now said the victim , groping his cigarettes again. 11 2, 1, 1, 2, 2, 3, 2, 2, 1, 3, 2, 1, 2, 1, 2, 2 1.8125
+MOP4 es Here are ten varied uses of this book ; 8 2, 3, 3, 3, 4, 4, 4, 4, 3, 2, 3, 4, 4, 4, 4 3.4
+MOP4 es A sports injury on the increase is the athlete or Gilmore 's groin that occurs when the groin tendon rupture due to excessive stretching and twisting . 25 2, 1, 1, 4, 1, 3, 3, 3, 2, 3, 2, 2, 2, 3, 3, 4, 4 2.52941176471
+MOP4 es Ideal for a small apartment , the washer / dryer is as sophisticated as the main house laundry . 16 3, 4, 4, 4, 4, 4, 4, 4, 3, 2, 2, 4, 4, 3, 3 3.46666666667
+MOP4 es Robbie saw now that he was a clergyman. 8 1, 3, 4, 4, 4, 3, 4, 3, 4, 3, 2, 3, 3, 4, 4, 3, 4 3.29411764706
+MOP4 es The weekend was associated with an increase in volatility, in accordance with expectations. 13 3, 4, 3, 4, 4, 4, 4, 2, 4, 3, 3, 3, 4 3.46153846154
+MOP4 es There is a tradition in our family that will always Santarém Madonnas reunited with their owners , you know? 18 3, 3, 1, 1, 1, 2, 4, 2, 1, 2, 1, 3, 3, 1, 2, 2 2.0
+MOP4 es As this is a beta , it is difficult to give a star rating ClarisWorks . 14 3, 3, 2, 2, 4, 3, 2, 3, 4, 2, 3, 2, 4, 2 2.78571428571
+MOP4 es All I had to do was get a good night's sleep. 11 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 es Intraesophageal pH and motility were investigated in the fourth day of each treatment period . 14 4, 2, 4, 3, 4, 3, 4, 4, 4, 4, 4, 4, 3, 4, 4 3.66666666667
+MOP4 es A farm TOWN is plowing ahead with fundraising plans to help people with disabilities and plans to cover in a riding area for the disabled. 25 4, 4, 4, 3, 3, 4, 3, 4, 2, 2, 4, 3, 3, 3, 3 3.26666666667
+MOP4 es All credit to Gavin gave me the ball at the end , with a little persuasion . 15 2, 2, 2, 2, 3, 1, 2, 2, 2, 2, 2, 4, 1, 3, 2 2.13333333333
+MOP4 es The first drafts of The Prelude is written in Germany during the winter of 1798-9 . 15 4, 1, 2, 4, 2, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4 3.4375
+MOP4 es A criminal trial is not a court to obtain the truth . 11 2, 4, 3, 4, 4, 3, 3, 3, 4, 4, 3, 4, 3, 2, 1 3.13333333333
+MOP4 es They came to the class of true twins enjoy tacit understanding . 11 1, 2, 2, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 3 1.42857142857
+MOP4 es Dustin Beatle Court ordered is a bit choppy and there are a closeup of a mole on the right shoulder. 20 1, 1, 1, 1, 1, 2, 1, 1, 4, 1, 1, 3, 1, 1, 1 1.4
+MOP4 es In the late 1940s there was a greater number of packaged grocery lines available , and there have been improvements in the quality of packaging. 24 2, 4, 4, 4, 4, 3, 3, 4, 3, 4, 3, 3, 4, 4, 4 3.53333333333
+MOP4 es After the ' Headpiece filled with straw ' crudely poetic objective is more absurd that word around , indicating the weakness of the speakers. 21 1, 1, 2, 3, 1, 2, 1, 3, 1, 1, 4, 1, 1, 2, 1, 1, 1 1.58823529412
+MOP4 es I thought it was some weird guy and when I asked who was calling the voice shouted,""It's me ! ' 18 4, 4, 3, 2, 3, 4, 4, 4, 3, 4, 3, 3, 2, 4, 4 3.4
+MOP4 es 'I should not ,' said the manager, but then smiled broadly. 9 4, 4, 3, 3, 4, 4, 4, 4, 3, 3, 4, 4, 4, 3, 3, 4, 4, 3, 4 3.63157894737
+MOP4 es The beauty of glass , he wrote, is this, that the surface needs to be covered . 15 2, 1, 2, 2, 3, 3, 3, 3, 4, 4, 3, 3, 4 2.84615384615
+MOP4 es Better one word , 'said the brigadier , removing the head and open the door. 12 3, 3, 2, 2, 1, 2, 3, 2, 1, 2, 3, 3, 3, 1, 2 2.2
+MOP4 es The Metropolitan Police was installed in the High Court claiming damages of cameraman Mr Anthony Walsh , whose backbone was injured during the Wapping dispute . 24 1, 3, 4, 3, 3, 3, 3, 1, 3, 2, 3, 4, 3, 3 2.78571428571
+MOP4 es If I get a couple of shillings of it , do not you worth ? 13 3, 2, 1, 2, 1, 1, 1, 1, 1, 2, 2, 1, 1, 2 1.5
+MOP4 es ' We have a queue that is already locked to Tweed. 10 2, 1, 2, 3, 3, 4, 3, 2, 2, 3, 2, 2, 3, 1, 4, 3, 2 2.47058823529
+MOP4 es And he blows the smoke back into my mouth. 9 4, 4, 3, 4, 4, 3, 3, 4, 3, 4, 4, 3, 3, 4, 4 3.6
+MOP4 es Genetic spray was described as a very exciting development for another computer scientists , Dr. Julia Dorin . 16 4, 2, 4, 4, 2, 3, 2, 4, 4, 3, 2, 2, 4 3.07692307692
+MOP4 es The old Highway road Rigby Yard in its train station , seemed to offer an ideal site . 16 4, 3, 2, 1, 3, 4, 3, 4, 2, 3, 2, 3 2.83333333333
+MOP4 es Running Wild Jodami and jumped the last together, and Jodami found additional equipment vital to sharpen away . 17 3, 2, 2, 2, 2, 2, 1, 3, 1, 1, 1, 1, 1, 1, 1, 2 1.625
+MOP4 es Is it possible to see the co private wealth - poverty existing business ? 12 1, 3, 1, 2, 3, 4, 2, 3, 1, 3, 2, 2, 3, 3, 1 2.26666666667
+MOP4 es One of Jay slurred phrases , while pubbed and beaten and pushed through coffee mornings surf and endless cigarettes , was ' I'm a night owl , honey. ' 24 1, 1, 2, 1, 3, 1, 1, 1, 2, 3, 1, 3, 2, 2, 2, 1, 3 1.76470588235
+MOP4 es The Ardakkeans were said to be superhuman strong and invulnerable to most life threatening . 14 2, 1, 3, 2, 3, 3, 2, 2, 3, 3, 3, 2, 3, 2, 3, 2 2.4375
+MOP4 es She wrote passionately these few words to him : 8 3, 3, 4, 3, 4, 1, 2, 3, 2, 4, 4, 3, 3, 2, 4 3.0
+MOP4 es There are several ways you can get a recovery : - 9 3, 3, 4, 3, 4, 3, 2, 4, 4, 3, 3, 3, 4, 2, 4 3.26666666667
+MOP4 es ' By the way , it seems a long way, but you just have to walk a mile through the field beyond the farm. 22 4, 3, 4, 4, 3, 3, 4, 3, 4, 3, 4, 4, 4, 3, 4, 3, 3 3.52941176471
+MOP4 es We have our team of the movie Robin and sat in front of our rods . 15 1, 1, 1, 1, 2, 3, 3, 1, 1, 2, 2, 2, 1, 1, 3 1.66666666667
+MOP4 es Conservative candidate Robert Goodwill, has written to Work Marjorie Mowlam ask him to clarify his personal position on nuclear defense capability of the country. 24 3, 2, 1, 2, 2, 1, 3, 4, 4, 2, 4, 3, 1, 3, 2, 3, 2 2.47058823529
+MOP4 es It was hoped that the Arab masses , outraged by Western humiliation of Saddam Hussein , to rebel against their leaders pro - Western . 21 3, 1, 2, 1, 2, 1, 2, 3, 2, 1, 1, 2, 2, 2, 1 1.73333333333
+MOP4 es Neil Cossons , director of the Science Museum , trust the old numbers are recalled. 13 2, 3, 3, 1, 1, 1, 2, 2, 3, 2, 2, 2, 1, 2 1.92857142857
+MOP4 es However, students taking resit exams for exceptional reasons , such as a missed exam due to illness, are generally allowed to have gained full marks . 24 4, 2, 4, 4, 2, 3, 3, 4, 3, 3, 4, 3, 3, 4, 4, 3 3.3125
+MOP4 es It would be a good exercise to compare electricity system with purely acoustic string telephone in Part 1 ( November 1991 edition ) . 21 2, 3, 3, 4, 4, 3, 2, 2, 4, 4, 3, 2, 2, 4, 3, 2, 4, 3 3.0
+MOP4 es The state's role was even more pronounced in Berlin in the cultural sphere . 13 4, 3, 4, 3, 3, 4, 2, 4, 4, 4, 4, 4, 3, 4, 3, 3 3.5
+MOP4 es AID TRIP provides students a lesson in third world poverty and Fear 12 3, 4, 3, 4, 3, 4, 4, 4, 3, 4, 2, 4, 3, 3 3.42857142857
+MOP4 es She felt his fingers trembled , and his anger vanished , replaced not by a wild hope and optimism. 17 2, 1, 3, 1, 2, 4, 2, 3, 1, 2, 4, 2, 2, 1, 1 2.06666666667
+MOP4 es In the jargon of quantum mechanics , the choice of this behavior is called the statistics obeyed by the particle. 19 2, 1, 4, 3, 2, 3, 4, 4, 4, 3, 3, 3, 4, 3, 4 3.13333333333
+MOP4 es You can format the spreadsheet manually, or design your own routine speedformat . 12 3, 4, 3, 4, 3, 3, 4, 4, 4, 4, 3, 4, 3, 4, 4 3.6
+MOP4 es He reached an agreement with two actors , gave the camera crews a little private money and turned to his aides film . 21 4, 3, 4, 3, 4, 3, 1, 3, 2, 3, 2, 4, 3, 4 3.07142857143
+MOP4 es ALMOST CELIA welcomed the idea of going to work. 9 2, 4, 2, 4, 3, 1, 4, 3, 4, 3, 2, 2, 2, 4, 2, 3, 2 2.76470588235
+MOP4 es I can only assume that my name had respectable associations , and he thought he could ease criticism in what might be called Athenaeum circles . 24 3, 3, 2, 2, 4, 2, 2, 4, 4, 4, 4, 4, 4, 3, 4, 4 3.3125
+MOP4 es ' Earth to earth , ashes to ashes , dust to dust ... 9 4, 4, 4, 4, 4, 3, 4, 4, 3, 3, 3, 3, 3, 4, 1 3.4
+MOP4 es It happened that Air School No. 5 was not far from the mine where he hid Churchill during the Boer War , remember Clifford . 23 2, 2, 1, 2, 4, 3, 3, 4, 2, 3, 4, 3, 3, 1, 4, 2, 3, 3 2.72222222222
+MOP4 es I enjoy things that are solved with numbers, for example , the amount of wallpaper or carpet need to buy 19 3, 3, 3, 4, 4, 3, 3, 2, 4, 3, 2, 3, 2, 1, 3, 3 2.875
+MOP4 es Not only the test will be easier in the future, it should also be cheaper too. 16 3, 3, 1, 3, 3, 4, 1, 3, 4, 3, 4, 2, 4, 4 3.0
+MOP4 es Then I turned around and completed image the other two sides . 11 1, 3, 1, 2, 1, 1, 1, 4, 3, 1, 2, 1, 2, 2 1.78571428571
+MOP4 es If so , could you share the knowledge with us ? 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.9375
+MOP4 es Tip the mixture into the prepared pan and tilt the tin to level the mixture . 15 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 3, 4, 3, 3, 4, 4 3.70588235294
+MOP4 es But in the sun there is something similar . 8 4, 4, 3, 4, 4, 1, 4, 4, 4, 4, 2, 3, 4, 4 3.5
+MOP4 es My social worker gave me asked if I wanted advice adoption or foster care , and said building (which was a white family ) . 21 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2, 2, 1, 1, 1, 1, 1 1.22222222222
+MOP4 es The results show a high prevalence of esophagitis in adult asthmatic population . 12 4, 4, 3, 3, 3, 3, 4, 2, 2, 4, 4, 4, 4, 4 3.42857142857
+MOP4 es For this reason, it was really only suitable for the manufacture of plywood, to which was a huge success. 19 3, 1, 2, 3, 4, 1, 2, 3, 3, 3, 4, 2, 3, 4, 3, 1 2.625
+MOP4 es But I think they have something to say if they have built good roads and railways , etc. . 17 4, 4, 3, 3, 3, 4, 4, 2, 4, 4, 4, 3, 4, 4, 4, 4 3.625
+MOP4 es Can you name the disciples? He asked a reporter . 9 4, 3, 3, 4, 3, 4, 3, 4, 4, 2, 4, 3, 4, 4, 4 3.53333333333
+MOP4 es Tom - Frode , Odd - Knut and Tony wait till we get . 10 1, 1, 1, 1, 1, 1, 1, 2, 3, 1, 1, 1, 1, 2 1.28571428571
+MOP4 es The white lines show the electric force that the energy body that gives crystals can tune 16 2, 4, 3, 2, 3, 4, 1, 2, 2, 2, 2, 1, 4, 3, 3, 3, 2, 2 2.5
+MOP4 es Gift to create a pleasant environment , with minimal resources. 9 1, 2, 1, 2, 4, 3, 1, 4, 3, 4, 3, 1, 3, 4, 4, 3 2.6875
+MOP4 es An American networks want to do a television interview . 9 1, 2, 4, 2, 4, 1, 3, 3, 2, 4, 3, 3, 2, 3, 1, 4 2.625
+MOP4 es Guinness provides financial support to organizations dedicated to medical research , health , youth, the environment and job retention and business trusts , education and the arts. 24 3, 3, 4, 1, 4, 4, 4, 4, 4, 4, 4, 2, 3, 4, 3 3.4
+MOP4 es A Muslim extremist group believed his story , and the results were terrible . 12 4, 4, 4, 4, 3, 4, 3, 3, 4, 3, 4, 4, 4, 1, 4, 4 3.5625
+MOP4 es The rain that would become his camp in clay, and fill the tanks of Famagusta . 15 2, 2, 1, 1, 1, 2, 1, 3, 2, 3, 1, 2, 3, 4, 2, 2 2.0
+MOP4 es The second workshop , designed by and Napier Polytechnic , was designed to prepare the university staff for a validation event. 19 2, 4, 4, 1, 4, 4, 2, 2, 4, 2, 4, 3, 1, 4, 3, 4, 3, 3 3.0
+MOP4 es Questions can be asked by the President ( see below) or player who just released ( or have just thrown) 18 1, 1, 3, 3, 3, 3, 4, 4, 2, 1, 3, 2, 2, 1, 2, 2, 4, 2 2.38888888889
+MOP4 es The second limiting factor was less immediate , but the greatest potential impact . 12 4, 3, 4, 4, 2, 3, 4, 3, 3, 3, 4, 4, 3, 4, 3, 2, 3 3.29411764706
+MOP4 es I think that makes all the rules and expected only to carry out and be responsible . 16 1, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 1, 2, 1 1.64285714286
+MOP4 es Once the nest is finished, the man goes in search of a woman. 13 3, 3, 3, 3, 3, 4, 3, 3, 3, 3, 4, 4, 4 3.30769230769
+MOP4 es of them revealed that they had been victims of rape in marriage. 12 2, 4, 2, 4, 2, 2, 4, 1, 3, 2, 4, 2, 3, 3, 2, 1 2.5625
+MOP4 es The government has plans to reverse the process of reforestation and investment in sustainable development projects . 16 2, 4, 4, 4, 3, 4, 3, 4, 3, 2, 4, 4, 4 3.46153846154
+MOP4 es He does not deign to compare British and French railways . 10 3, 3, 2, 2, 4, 2, 4, 2, 3, 4, 4, 4, 4, 2, 3, 4 3.125
+MOP4 es Place the child on his back , turn your head and eliminate waste in the mouth with your finger. 18 4, 4, 3, 4, 3, 1, 4, 3, 4, 4, 3, 4, 2, 1, 1, 1, 4, 4 3.0
+MOP4 es Strach may be 37 , but who cares really ? 8 3, 3, 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 3 3.6
+MOP4 es In return , the Church a figure somewhat uncertain . 8 2, 1, 1, 1, 2, 1, 1, 2, 1, 3, 1, 2, 1, 1, 2 1.46666666667
+MOP4 es However, it is almost certain that the offer will be rejected. 11 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4 3.88888888889
+MOP4 es Mr. Stolpe said East Germans had recently discovered his power, and Mr. Krenz has not been successful in restoring the credibility of leadership. 23 4, 4, 4, 3, 3, 3, 4, 3, 3, 4, 3, 3, 4, 4, 3 3.46666666667
+MOP4 es Smiling , Harry put the letter in the envelope. 8 4, 1, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4 3.61538461538
+MOP4 es Leicestershire is the only county to account for their TCCB distributions in cash rather than an accruals basis . 18 3, 1, 4, 4, 4, 2, 4, 4, 3, 4, 3, 4, 4, 3, 3, 3, 4, 4 3.38888888889
+MOP4 es They look great on the beach , like a top night under a pretty blouse or under a jacket for work . 20 3, 4, 2, 2, 1, 1, 3, 4, 3, 3, 4, 3, 2, 4, 2, 2 2.6875
+MOP4 es He says his friends all want to know his secret. 10 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4 3.9375
+MOP4 es If you prefer an elegant finish brass , bronze fire Dream is a good option value and costs around £ 399. 19 4, 4, 3, 4, 3, 3, 4, 2, 3, 2, 2, 2, 4, 4 3.14285714286
+MOP4 es If I did that , then it is almost the greatest miracle that a person has done since the time of Jesus. ' 21 3, 2, 3, 4, 3, 4, 4, 4, 4, 4, 3, 3, 3, 4 3.42857142857
+MOP4 es She kicked something in the dark , and stopped briefly to pick it up. 13 4, 4, 4, 4, 3, 4, 3, 3, 3, 4, 4, 4, 4, 4, 4 3.73333333333
+MOP4 es McLaren kept his counsel, be as secret as Ferguson is gregarious . 11 2, 1, 1, 2, 1, 1, 3, 2, 3, 3, 2, 2, 2, 2, 3 2.0
+MOP4 es She had made a final attempt at the archdeacon before leaving. 11 3, 4, 3, 4, 4, 3, 4, 4, 4, 3, 3, 3, 2, 4, 4, 4, 4, 4 3.55555555556
+MOP4 es Air Show : The famous Red Arrows are providing a great end to the Southport Airshow . 15 3, 4, 3, 2, 3, 4, 4, 4, 3, 4, 2, 3, 4, 4, 4, 4, 3 3.41176470588
+MOP4 es Add the orange zest and juice , eggs, sugar , cornstarch and ginger. 11 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4 3.76470588235
+MOP4 es A directed path from where they stood , their worn and broken stone flags , their progress hidden here and there by moss and weeds . 23 2, 2, 4, 3, 3, 3, 2, 3, 2, 3, 4, 1, 2, 2, 1, 3, 3 2.52941176471
+MOP4 es If a referee younger than me that goes to show that someone has guts . 14 1, 2, 1, 2, 2, 3, 2, 1, 2, 1, 2, 1, 2, 1 1.64285714286
+MOP4 es Minimum Packages : Some packaging is designed to reduce waste during manufacture. 11 3, 4, 4, 3, 4, 2, 4, 4, 4, 2, 4, 4, 3 3.46153846154
+MOP4 es The man ran in front of Cranston , jumping up and down . 11 4, 4, 4, 3, 3, 3, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4 3.6875
+MOP4 es - I have to peel potatoes for Matey , and you should get surgery the night and be ready for your guests. ' 20 1, 2, 2, 1, 2, 1, 2, 3, 3, 2, 1, 2, 1, 1, 1, 1, 4 1.76470588235
+MOP4 es R4 DON HOWE SAYS THIS TOMORROW IS ANOTHER CANDIDATE CAN TAKE U.S. in the new year . 16 1, 1, 1, 1, 1, 1, 3, 1, 1, 3, 1, 2, 2, 1, 1, 1 1.375
+MOP4 es It is one of the ways that evokes the spirit of prayer in the people of the Messiah . 18 3, 2, 3, 1, 3, 4, 2, 3, 4, 4, 4, 3, 3, 3, 4 3.06666666667
+MOP4 es Such basics should be the same for everyone. 8 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4 3.85714285714
+MOP4 es Sega owners are bigger in the trouser department . 8 3, 2, 3, 3, 3, 2, 4, 3, 4, 3, 2, 4, 1, 3, 3, 3, 4 2.94117647059
+MOP4 es I'm sick of journalists roam in and out , wanting to know your business. 13 1, 2, 2, 1, 2, 2, 1, 3, 2, 2, 4, 3, 4, 2, 4 2.33333333333
+MOP4 es Or if you went to the kitchen and interfered . 9 4, 2, 3, 1, 2, 3, 3, 3, 2, 4, 2, 3, 2, 3, 3, 3 2.6875
+MOP4 es However, for 1976 , local councils in East London were able to publicize the advantages of its industrial areas . 18 3, 3, 3, 3, 4, 3, 4, 4, 4, 4, 4, 2, 3, 4, 4 3.46666666667
+MOP4 es It may be the detailed description and prices of the goods , details of a complaint , the ideas for a new product , or whatever . 23 2, 4, 1, 3, 1, 3, 4, 2, 3, 4, 1, 3, 3, 4 2.71428571429
+MOP4 es Japanese banks operating in London accounted for 28.5 % of total loans in 1991 London , U.S. banks 15% , and 40.7 % other banks . 21 4, 3, 4, 3, 2, 3, 4, 3, 4, 3, 4, 3, 3, 4, 3, 3, 2, 4 3.27777777778
+MOP4 es I'm dying for a cup of tea , 'said Charlie . 8 4, 4, 4, 3, 4, 4, 3, 4, 3, 4, 4, 3, 4, 4 3.71428571429
+MOP4 es Katherine 's mother had returned home the day before we had to go . 12 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3, 4, 4 3.83333333333
+MOP4 es And they are waiting for a meeting of Twickenham Carolians either Kidderminster or Hitchin in the final. 17 4, 1, 1, 3, 3, 1, 1, 1, 4, 3, 2, 1, 2, 4, 3, 2, 2 2.23529411765
+MOP4 es Who was Elsie and what had happened to her? 9 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 3 3.86666666667
+MOP4 es She looked into his eyes, and saw the hunger suppressed there, and his heart seemed to shrink then swell inside her. 21 4, 4, 3, 3, 4, 3, 2, 4, 2, 3, 3, 4, 4, 3, 4, 3, 4 3.35294117647
+MOP4 es A sense of well being , of transformation and enlightenment, penetrates to the marrow of his bones. 16 2, 3, 4, 3, 3, 4, 4, 4, 4, 3, 3, 2, 3, 4, 4, 3, 4 3.35294117647
+MOP4 es - One respondent had control sample the three traits , and out quarter two of three. 14 1, 1, 3, 1, 2, 1, 1, 1, 2, 1, 2, 1, 4, 1, 1, 1, 2 1.52941176471
+MOP4 es wonder why - But I must thank mibbe ma 8 1, 1, 2, 1, 1, 1, 1, 1, 1, 4, 1, 3, 2, 2, 2, 3 1.6875
+MOP4 es A slightly thicker book , The Bernese Alps important details of the region bordered by the previous book . 17 2, 1, 2, 2, 2, 1, 2, 2, 2, 3, 2, 2, 2, 2, 1, 2, 2 1.88235294118
+MOP4 es Speakers boom boxes perched on the sidewalk , thundering from bars and shops , every corner has its own sound system . 19 2, 2, 1, 3, 2, 2, 2, 2, 3, 3, 1, 2, 1, 2, 1 1.93333333333
+MOP4 es A beautiful flower early, very fragrant honey , and golden yellow inside , but purple light gray with darker stripes on the outside . 21 2, 4, 2, 2, 3, 2, 3, 2, 2, 1, 2, 1, 2, 3, 4 2.33333333333
+MOP4 es Young people's knowledge about the harmful effects of snuff consumption is considerable, those who take up smoking are not doing it out of ignorance . 24 4, 3, 3, 4, 3, 3, 1, 4, 3, 4, 3, 3, 1, 2, 4, 4 3.0625
+MOP4 es And then do not say where you have been , if they are wise . 13 3, 1, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 3, 2, 2, 3 1.6875
+MOP4 es Gwyneth Dunwoody said we were secretly dismantling the health service and Roy Hattersley muttered about hiring older people as garbage collection . 21 3, 4, 3, 2, 3, 4, 4, 4, 3, 3, 3, 4, 2, 4, 4 3.33333333333
+MOP4 es Could a man who abandoned his wife and son of another woman free download without scars ? 16 1, 1, 1, 2, 2, 2, 3, 1, 1, 1, 2, 1, 4, 1, 2, 1 1.625
+MOP4 es If the French should take and see them target those remarkable men who could take charge of sending them. 19 1, 3, 1, 1, 3, 3, 2, 2, 3, 3, 2, 2, 2, 2, 2, 2, 2, 1 2.05555555556
+MOP4 es The Cats Protection League Bazaar , Parliament Room , Royal Baths Assembly Rooms , Crescent Road. 13 2, 3, 2, 4, 4, 3, 2, 1, 3, 3, 2, 2, 1 2.46153846154
+MOP4 es Their findings have worrying implications for the 600,000 people believed to have been affected by the release of radiation. 19 2, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4 3.6
+MOP4 es The consequences of this factor has been at times lead to the definition of community care as "" non-hospital care "" ( Parker , 1990 ) . 21 3, 4, 1, 3, 4, 3, 4, 4, 4, 3, 3, 1, 3, 3, 1, 2 2.875
+MOP4 es Viol tried to make another , but the driver ignored him . 10 3, 3, 2, 3, 1, 4, 3, 3, 3, 4, 4, 4, 2, 4, 1, 4, 2 2.94117647059
+MOP4 es Graphically also be offered oriented programming tools , application programming interfaces and macro facilities between applications. 15 4, 2, 1, 4, 4, 2, 2, 2, 3, 2, 4, 2, 1, 1, 4, 2 2.5
+MOP4 es Was not there , as everyone knew , single-handedly raised and led an Arab army against the Turks ? 16 3, 2, 1, 1, 2, 2, 1, 1, 2, 1, 1, 2, 2, 2, 2, 1 1.625
+MOP4 es The close cooperation between agents and each allocation unit manager is essential both plan development and programming of the holidays. 20 4, 4, 2, 2, 2, 2, 3, 3, 3, 3, 3, 2, 2, 3, 4, 3, 3 2.82352941176
+MOP4 es There is no criticism robust no convincing body of evidence , no sign of learning from a decade of failures. 19 2, 1, 2, 1, 2, 2, 4, 3, 4, 1, 1, 3, 2, 2, 3, 3, 3 2.29411764706
+MOP4 es The survival time was defined as the period between surgery and death. 12 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 es Mr. Tadgell , 32, rented an apartment in Australia with Joanna as she progressed from a cleaner to a waitress at the casino. 22 4, 4, 4, 4, 3, 3, 3, 4, 4, 2, 4, 4, 3, 1, 4, 4 3.4375
+MOP4 es The Daurog moved to their business , looking Tallis trembling with the same caution as the night before. 17 1, 2, 1, 1, 2, 1, 2, 3, 3, 4, 2, 1, 1 1.84615384615
+MOP4 es Mr. Jenks walked down the aisle , glaring at him, and the children fell back on both sides without a murmur . 20 3, 3, 3, 3, 3, 4, 4, 4, 3, 3, 4, 3, 4, 4, 4, 4 3.5
+MOP4 es The detective thriller , of course , went about seeking information. 9 2, 2, 1, 2, 3, 2, 3, 4, 3, 2, 3, 3, 2, 3, 1, 3 2.4375
+MOP4 es In the seventeenth century the new Dutch Republic was the only major power to make extensive use of this method of representation. 22 4, 1, 3, 4, 2, 3, 3, 4, 4, 4, 4, 4, 4, 4 3.42857142857
+MOP4 es So you are working on a political model of peer Photo and meaning ? 13 1, 3, 3, 3, 3, 3, 3, 4, 2, 4, 3, 2, 1, 1, 2, 3, 4, 3 2.66666666667
+MOP4 es Not like in the old days , when people lived in villages and knew great-great - grandfather was a horse thief or whatever . 21 3, 2, 4, 3, 4, 2, 2, 2, 3, 3, 3, 3, 1, 2, 3, 3, 3 2.70588235294
+MOP4 es The guidelines did not apply to parliamentary proceedings or choices and allowed speech. 13 3, 4, 2, 4, 3, 3, 4, 2, 4, 4, 3, 3, 3, 3, 4, 3 3.25
+MOP4 es Crystal thought Berg was a newspaper reporter and she Rain said : "" I will not spoil the story by saying something dead MacQuillan MI . ' 23 4, 1, 3, 1, 2, 1, 1, 1, 3, 2, 2, 3, 1, 2, 1, 4, 2 2.0
+MOP4 es Another road also runs approximately from north to south , stretched between him and Ryknild street, the northern branch of the road Tiddington 22 3, 4, 1, 2, 3, 2, 3, 3, 3, 2, 3, 3, 2, 4, 2, 2, 2, 3 2.61111111111
+MOP4 es I congratulate you on the ambiguity of their situation. 9 3, 4, 2, 4, 4, 3, 3, 4, 3, 4, 3, 2, 3, 4, 4, 4 3.375
+MOP4 es ' If you want to use the bathroom facilities , please . 9 3, 3, 1, 3, 2, 2, 4, 3, 4, 2, 2, 3, 4, 3, 2, 3, 3 2.76470588235
+MOP4 es The idea is to increase people's knowledge about the strength of the drinks and weekly limits , and the link between consumption and health and fitness. 25 3, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 3, 3, 3, 3, 4, 4 3.58823529412
+MOP4 es When the Indians went hunting for both the animals and rival Indians , their firepower was mortal . 16 3, 3, 3, 4, 3, 3, 3, 3, 3, 3, 3, 4, 2, 4, 2, 3, 2 3.0
+MOP4 es The facts speak for themselves , but only if executives are willing to listen , willing to be convinced. 17 4, 2, 4, 3, 4, 3, 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 3 3.58823529412
+MOP4 es In the past decade , London and other major metropolitan cities population recorded massive losses , the medium-sized cities either people lost or suffered only slow growth . 25 3, 2, 3, 2, 1, 3, 3, 4, 2, 4, 3, 2, 2, 3, 3, 2 2.625
+MOP4 es And one in three women said they do not get enough respect from their male superiors . 16 4, 4, 3, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 3, 4, 3 3.70588235294
+MOP4 es After the death of our great team of '86 we were building sand castles for a while - they were collapsing all the time. 22 3, 2, 3, 4, 4, 3, 4, 3, 3, 2, 3, 4, 3, 3, 4, 3 3.1875
+MOP4 es One in six trees in Switzerland is showing signs of ill health - double the level recorded eight years ago. 19 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.9375
+MOP4 es LEFT : Kevin Painter and decorator Barton hooked on this early 2 lbs 14 oz plaice during a session at Lepestone Point in Hampshire. 23 3, 2, 3, 3, 1, 2, 4, 2, 3, 2, 2, 3, 2 2.46153846154
+MOP4 es It has been estimated that 65 percent of the deals are in cash and the rest are forward deals . 19 4, 4, 3, 3, 4, 4, 4, 3, 4, 4, 2, 4, 4, 3, 4, 3, 4 3.58823529412
+MOP4 es As the crowds gathered , a military assistant Andrew asked about the episode roles in Reykjavik tube . 16 4, 3, 1, 1, 3, 4, 3, 4, 4, 3, 2, 4, 3, 3, 3, 2, 1 2.82352941176
+MOP4 es This was a necessity to qualify for a call to the bar later . 13 4, 2, 4, 4, 4, 3, 2, 3, 4, 3, 2, 4, 2, 3, 4 3.2
+MOP4 es Here he comes, look out for this guy . ' 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 4, 3, 3, 4 3.75
+MOP4 es I hope it is not gon na an attack. 9 1, 1, 1, 1, 2, 1, 1, 3, 1, 1, 1, 3, 2, 1, 2, 3 1.5625
+MOP4 es I could not go through it all again . 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 es give children the skills necessary to perform simple math functions ( related to the four rules) without difficulty 17 4, 4, 3, 4, 4, 4, 3, 2, 2, 3, 4, 3, 4 3.38461538462
+MOP4 es The distinction between equity and equality in the distribution and use of social services is crucial to the debate on health inequalities . 22 4, 1, 4, 4, 4, 4, 4, 4, 3, 3, 4, 3, 4, 4, 4, 4, 2 3.52941176471
+MOP4 es Then I had my tea I go to bed . 9 3, 2, 1, 1, 1, 1, 2, 2, 1, 3, 2, 2, 1, 1 1.64285714286
+MOP4 es The wide range of barley included the purchase , consumption , laboratory, steeping, germination , malt ovens and office . 16 3, 2, 1, 2, 3, 3, 4, 3, 1, 3, 3, 2, 4, 2, 3, 1 2.5
+MOP4 es After all , had managed to beat the system and was the sole command of a small military unit. 18 1, 2, 3, 1, 4, 3, 4, 2, 3, 2, 2, 4, 3, 1, 3, 2, 2, 4 2.55555555556
+MOP4 es Then he jumped up and ran along the road. 9 4, 4, 4, 3, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4 3.8
+MOP4 es I think G. P. holding me and stroking me . 9 2, 2, 3, 1, 3, 1, 1, 2, 1, 2, 3, 1, 2, 2, 1 1.8
+MOP4 es I do not want to be a superstar , I just wanted to be able to play well . 17 4, 4, 4, 4, 4, 3, 3, 3, 4, 3, 4, 4, 3, 4, 3, 3, 3 3.52941176471
+MOP4 es This is not to deny , of course , that crime and violence in contemporary society is an important social reality. 19 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 4 3.83333333333
+MOP4 es Network is strung between two palm trees and floated around in a spirited game of volleyball four -by-side . 17 3, 2, 1, 1, 2, 2, 3, 1, 1, 2, 3, 1, 1, 1, 2 1.73333333333
+MOP4 es The administrative structure of associations, with its strong emphasis on coordination of different agencies , would in any case tend to inhibit unorthodox . 22 4, 1, 2, 1, 3, 1, 3, 3, 3, 4, 3, 3, 2, 4, 2, 2 2.5625
+MOP4 es Gloucester solemnly walked around inside and outside the precincts of the Cathedral while he told me about his childhood. 19 3, 1, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 4, 2, 4, 3, 4, 4 3.47368421053
+MOP4 es In comparison, employment companies suffering oblivion 20-50 bracket , they say. 10 1, 2, 1, 3, 1, 1, 1, 2, 4, 1, 1, 2, 3, 2, 1, 2 1.75
+MOP4 es A few days after writing my notes one day planning priced (by UK standards ) dawned . 14 1, 1, 1, 3, 2, 1, 2, 2, 2, 3, 1, 1, 2, 1, 2, 3, 2, 1 1.72222222222
+MOP4 es If this has a direct pathogenic autoantibodies , such as Wegener 's granulomatosis , remains to be determined . 15 2, 3, 4, 3, 2, 4, 4, 3, 1, 3, 2, 1, 1, 3, 4 2.66666666667
+MOP4 es The incident received widespread television and press advertising , and sparked a civil rights march on 24 August Coalisland to Dungannon . 20 2, 2, 3, 2, 4, 3, 4, 3, 3, 2, 4, 3, 3, 3, 4 3.0
+MOP4 es The seeds , of course, are much richer in nutrition than any fleshy . 12 4, 2, 2, 2, 4, 1, 3, 3, 2, 2, 3, 4, 2, 1, 3, 4, 3, 2 2.61111111111
+MOP4 es The fishermen are blaming the contamination by a drop in the number of fish in some sections of the rivers Severn and Avon. 23 3, 2, 1, 3, 3, 4, 3, 3, 3, 3, 3, 3, 4, 2, 4, 4 3.0
+MOP4 es Robin child refuses to grade and, where meetings gave way to GCSE level with all internal courses and marking, the rejected . 21 1, 1, 1, 1, 1, 1, 1, 2, 1, 3, 1, 1, 1, 1, 1, 1, 3 1.29411764706
+MOP4 es Are you aware of the rates of obstetric interventions change practice? 11 2, 1, 2, 3, 2, 4, 4, 3, 2, 1, 3, 2, 1, 1, 2, 2 2.1875
+MOP4 es Eyes Synergie Ultra - soft makeup remover with rose extract , is a light oil -free lotion with soothing , £ 2.99 / 200ml. 18 3, 2, 2, 4, 3, 3, 4, 2, 4, 3, 3, 3, 2, 2, 3 2.86666666667
+MOP4 es Stewart and Tait were more aware of the degradation of energy , both moral and physical , and therefore of the impermanence of the world . 23 4, 4, 1, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.53333333333
+MOP4 es This rule is subject to a number of exceptions ( see Chapter 5 ) . 12 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.83333333333
+MOP4 es We thank Ken Byron for creating much needed magazine in Drama and Dance . 13 2, 3, 2, 2, 2, 1, 4, 2, 4, 4, 3, 3, 2, 3, 4, 2, 1, 2 2.55555555556
+MOP4 es Cycling was also definitely related to gastro -oesophageal reflux . 8 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 3, 4, 3, 4, 4 3.70588235294
+MOP4 es True to this tone , the tape is Tom scientific analysis bogeyman instead of bedtime stories . 15 1, 2, 1, 3, 3, 3, 1, 1, 1, 3, 4, 1, 2, 1, 3, 1, 1 1.88235294118
+MOP4 es As suggested in the argument , that indeed would have to swallow the elephant and the tension in the mosquito. 19 1, 2, 1, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 3, 3, 3, 4, 2 1.77777777778
+MOP4 es In desperation , I took a typing course and moved fifty miles the road from here, for the first job that I have . 22 3, 3, 2, 2, 3, 3, 3, 1, 2, 3, 3, 4, 2, 3, 2, 3, 4 2.70588235294
+MOP4 es At times Dr Banda waving his fly whisk . 8 3, 3, 3, 2, 2, 2, 1, 2, 3, 2, 1, 4, 1, 1, 2, 3 2.1875
+MOP4 es Both were former members of the Red Army Faction leftist extremists ( RAF ) . 12 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4 3.85714285714
+MOP4 es But anyway "" - his tone changed again - "" I am grateful for your help. ' 12 4, 2, 3, 4, 3, 4, 2, 4, 4, 3, 4, 3, 2, 4, 4, 4 3.375
+MOP4 es Stokesley , in effect, that have neither trade nor the manufacturers, no aspect of bustle and business , and is a well-suited place retirement. ' 22 2, 1, 1, 1, 1, 3, 1, 1, 3, 2, 2, 3, 3 1.84615384615
+MOP4 es Although it is less harmful than removing bulbs and plants , seeds consistently can still effectively clean snatch a kind of a locality. 22 1, 1, 1, 1, 1, 2, 2, 1, 1, 2, 4, 2, 2, 1, 2 1.6
+MOP4 es Tickets from Sergeant Gordon Parkin ( phone 091567-6155 , . Ext 6331 . 9 3, 2, 3, 4, 1, 1, 3, 2, 3, 4, 1, 2, 1, 4, 2, 3, 3 2.47058823529
+MOP4 es They expressed their anger with the godly in lewd ballads that echo through the story of Nelly . 17 1, 4, 2, 4, 1, 2, 4, 2, 2, 2, 3, 2, 3, 2, 4, 2 2.5
+MOP4 es ' There is no Black Dog here ,' said the doctor. 9 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.88235294118
+MOP4 es Our telephone number is communal hallway wall by the front door. 11 2, 1, 1, 3, 2, 4, 3, 2, 2, 3, 1, 4, 3, 1 2.28571428571
+MOP4 es Mr Carpenter said : ' All the victims were elderly and infirm. 10 3, 2, 4, 4, 3, 4, 4, 4, 3, 4, 4, 3, 2, 4, 3, 2 3.3125
+MOP4 es - They say you're a homosexual known , we believe , ' said a third . 11 1, 1, 2, 1, 2, 2, 3, 1, 3, 1, 1, 2, 1, 1, 1, 1, 1, 2 1.5
+MOP4 es When the bishops moved into the house 10 years ago, he had been on the market for 18 months and had become very run down. 25 4, 3, 1, 4, 2, 2, 2, 3, 3, 2, 2, 3, 4, 3, 1, 4, 1 2.58823529412
+MOP4 es I thought I could go to the U.S. and help the anti - student projects around Army camps ,"" he said . 19 4, 4, 4, 1, 3, 4, 4, 2, 2, 2, 3, 3, 3, 4 3.07142857143
+MOP4 es Other people besides yourself and the candidate may need to take into account when setting a schedule are: 18 3, 2, 3, 2, 3, 3, 3, 4, 3, 2, 4, 2 2.83333333333
+MOP4 es His mouth had formed of words before realizing . 8 2, 4, 2, 1, 1, 1, 2, 3, 1, 1, 3, 2, 4, 2, 2, 3 2.125
+MOP4 es The first is a surface pain begins as a red mark. 11 2, 1, 2, 4, 3, 2, 1, 4, 2, 2, 1, 2, 1, 4, 2 2.2
+MOP4 es We're really struggling at this point in time, thinking, ' What are we doing , what we're about ? ' 16 3, 3, 3, 3, 2, 3, 3, 2, 4, 3, 2, 3, 3, 3, 3 2.86666666667
+MOP4 es I do not think Chris and the band are known well enough at the time . 15 3, 3, 3, 3, 3, 2, 3, 3, 2, 3, 4, 3, 2, 3, 3, 3, 2 2.82352941176
+MOP4 es His description of his meeting follows the usual descriptions with immense sense of the general presence of concomitant dramatic side effects. 21 3, 4, 1, 3, 3, 3, 3, 3, 2, 3, 3, 4, 2, 4 2.92857142857
+MOP4 es He likes , airless places wet and moist with a slightly alkaline pH normally found in the vagina ( usually slightly acidic) . 20 2, 1, 2, 3, 3, 1, 3, 3, 4, 2, 3, 4, 4, 2, 1, 2, 1 2.41176470588
+MOP4 es But did you know that the program had a section absurd "" Did you know "" in the currency of football trivia was far less fraudulent . 24 1, 1, 1, 1, 1, 2, 1, 2, 2, 3, 1, 1, 1, 2, 2, 1 1.4375
+MOP4 es Now she was looking closely, he realized that most of the rooms of the house had two doors . 18 2, 1, 1, 4, 3, 3, 4, 4, 3, 4, 4, 3, 2, 4, 2, 4, 2 2.94117647059
+MOP4 es If the sources of income are taxed at equal rates , it is clear that there is an incentive to convert income into tax- free form . 25 4, 3, 4, 3, 4, 4, 4, 3, 3, 4, 4, 4, 4, 3, 3, 3, 4 3.58823529412
+MOP4 es Both drank , aware that he had been a long afternoon , and Shelley , at least , was thirsty. 16 2, 3, 3, 3, 2, 1, 1, 3, 3, 2, 2, 2, 2, 2, 3 2.26666666667
+MOP4 es He's had to go through Mordecai precisely because it is a Copt . 12 3, 1, 2, 3, 1, 3, 4, 3, 2, 2, 2, 3, 3, 3, 2, 1 2.375
+MOP4 es But now say the cost of free accounts is too high. 11 2, 4, 3, 1, 4, 1, 2, 3, 2, 2, 3, 4, 2, 4, 2, 2 2.5625
+MOP4 es What if Bruce Pallistar or injured , you must either cover ( decent ) . 11 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1 1.14285714286
+MOP4 es But with her mother stopped it was now up to him to take charge of the rebellion in Poitou . 19 1, 3, 2, 4, 2, 3, 4, 1, 2, 3, 3, 3, 3 2.61538461538
+MOP4 es But who knows , the illustrious Mr. drilling still can ride again sometime in the future. 15 2, 4, 4, 3, 2, 3, 4, 3, 4, 2, 2, 4, 4, 3, 4 3.2
+MOP4 es Take it like a duck takes to water. 8 4, 3, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 3, 4, 2 3.64705882353
+MOP4 es Average household size has decreased from 3.09 in 1961 to 2.55 in 1987 and continue to decline (Table 2.6). 18 3, 4, 4, 1, 4, 4, 4, 4, 3, 3, 4, 3, 2, 2, 3, 4, 4 3.29411764706
+MOP4 es The way the dialog is rendered is the one that best fits the mood and the theme of dialogue . 19 3, 2, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 3, 4, 3 3.53333333333
+MOP4 es She had come to England from Berlin in 1930 and began his studies at the Central School of Arts and Crafts. 21 3, 3, 1, 4, 1, 2, 3, 3, 2, 4, 3, 3, 2, 2, 2, 2, 2, 4 2.55555555556
+MOP4 es I'm tired of hearing the complaints of the cook. 9 3, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4 3.75
+MOP4 es Being one of the women elected prince has its drawbacks. 10 3, 2, 1, 3, 4, 4, 3, 2, 4, 1, 2, 4, 3, 2, 4 2.8
+MOP4 es British Intelligence in the Second World War , vol . 4: Security and Counter- Intelligence . 13 2, 4, 4, 3, 3, 3, 3, 2, 4, 2, 3, 3, 4, 3, 4 3.13333333333
+MOP4 es ' Second Act - Beginners please trembling voice said from outside the door . 11 2, 1, 3, 1, 1, 1, 1, 1, 2, 1, 4, 1, 2, 1, 2 1.6
+MOP4 es Coming and going - there was not much of that. 9 4, 3, 3, 4, 3, 2, 4, 3, 3, 4, 3, 2, 3, 4, 4, 4 3.3125
+MOP4 es Sow seeds in spring, or divide plants in spring, and allow 60 cm (2 feet) between plants. 16 1, 1, 4, 3, 4, 4, 4, 3, 4, 4, 4, 3, 3, 4, 2, 4, 3 3.23529411765
+MOP4 es This has now been reduced from 6.7 % to 3% , but according to President Mike Tilbrook , the remaining ' continues to show useful benefit document. 23 2, 3, 3, 3, 2, 3, 2, 3, 2, 3, 3, 2, 3, 1, 4, 3 2.625
+MOP4 es Dexter assumed he was beginning to share the same persistent feeling of depression that plagued him since the end of the interview with Parkin . 24 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 4, 3, 4, 4, 4, 4 3.83333333333
+MOP4 no We still belonged House and Lincolnshire are lovely in May. ' 10 1, 1, 1, 1, 2, 1, 4, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1 1.33333333333
+MOP4 no She was wearing denim overalls and carrying a bucket and brush. 11 4, 4, 4, 4, 4, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4 3.8
+MOP4 no Ministers have not detailed responsibility for the decisions made . 9 2, 2, 4, 4, 4, 4, 4, 3, 4, 4, 3, 3, 1, 3, 4, 4 3.3125
+MOP4 no In the next year he had custody of Rochester Castle . 10 1, 3, 4, 3, 3, 4, 4, 3, 4, 3, 4, 3, 3 3.23076923077
+MOP4 no Booking is essential for a bike ride around the Wirral Country Park on Sunday when the manager will be Cheshire ranger Barry Jackson. 23 1, 2, 4, 3, 4, 3, 3, 2, 4, 4, 2, 2 2.83333333333
+MOP4 no But it tends to gloss over them when it draws on mainstream psychology. 13 3, 4, 3, 3, 4, 4, 4, 4, 3, 4, 3, 3, 3 3.46153846154
+MOP4 no On appointment to office a new minister takes over responsibility for many departments policy. 14 3, 1, 2, 4, 4, 4, 3, 3, 2, 3, 2, 2, 4, 3, 2, 3 2.8125
+MOP4 no When Rhun in his goodness lent an arm to raise him from his knees , he still hung heavy , clinging to his desperate humility. 23 4, 3, 4, 4, 3, 3, 3, 3, 4, 2, 4, 4, 4, 1, 3, 4 3.3125
+MOP4 no The figure shows how the A -measure per unit area varies with the radiometer reading. 14 4, 1, 4, 4, 4, 4, 3, 4, 4, 3, 2, 3, 2 3.23076923077
+MOP4 no In some pubs fake hand pumps serve gassy beer. 9 4, 4, 3, 4, 3, 4, 4, 2, 4, 3, 3, 3, 2, 3, 2, 4, 3 3.23529411765
+MOP4 no In fact, the complaints often made too many monitoring requirements are made of TECS . 14 2, 2, 1, 3, 4, 4, 3, 3, 4, 2, 2, 2, 2, 2, 2 2.53333333333
+MOP4 no Of course this is only a tendency , and move away from the local police to larger , centralized police can reduce this effect . 22 3, 2, 2, 3, 4, 3, 1, 2, 3, 2, 1, 1, 3, 3, 1, 1 2.1875
+MOP4 no Tod has a different kind of dream in which he is a woman . 13 4, 3, 1, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 3, 4 3.5625
+MOP4 no Valuable coaching can often come from drama school teachers who can give a fair assessment of the options you may have before auditioning . 23 4, 4, 4, 4, 4, 4, 3, 1, 4, 4, 3, 4, 3, 4, 4, 4, 3 3.58823529412
+MOP4 no Because simulated annealing is a stochastic algorithm , different runs of probeorder not necessarily produce the same effect probe sequence. 19 2, 3, 3, 1, 4, 1, 3, 2, 3, 3, 2, 3, 1, 2, 1 2.26666666667
+MOP4 no Although the music was animated , moving only his arms . 9 2, 1, 2, 1, 2, 2, 3, 3, 3, 1, 3, 2, 2, 1, 2, 3, 1 2.0
+MOP4 no But the report also blasts authority bosses for failing to control the activities of 58 -year-old Mr Watney , who took early retirement last year . 23 3, 4, 4, 4, 4, 4, 4, 3, 4, 3, 4, 3, 4 3.69230769231
+MOP4 no Some will of course respond personally ( he had included postage ) . 10 3, 4, 3, 3, 4, 3, 4, 3, 3, 4, 3, 4, 4, 4 3.5
+MOP4 no Four of those areas large as , or larger than our moon . 11 1, 2, 2, 3, 2, 2, 4, 2, 3, 1, 2, 4, 2, 1, 3 2.26666666667
+MOP4 no Police are appealing for witnesses to the incident, which occurred at 11 on Monday in Windsor Street, Toxteth . 18 3, 2, 4, 3, 3, 3, 3, 4, 4, 4, 3, 4, 4, 4, 4 3.46666666667
+MOP4 no See how the word wrap back to the previous line . 10 3, 3, 3, 2, 4, 2, 3, 2, 2, 2, 2, 3, 4, 1, 2 2.53333333333
+MOP4 no The cafe itself is so filled with smoke that I'm sitting outside on a bench . 15 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4 3.75
+MOP4 no The surface need not be perfectly flat or smooth. 9 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.92307692308
+MOP4 no Given that this work is done, the draft plan then be examined in the next detail - and probably torn to shreds . 21 2, 1, 2, 1, 2, 2, 3, 1, 4, 2, 2, 1, 2, 3, 1, 3, 2, 2 2.0
+MOP4 no There are 5733 empty municipal house , nearly 2,000 of which have been empty for more than a year . 18 3, 2, 2, 3, 2, 3, 4, 3, 4, 3, 2, 1, 4, 3, 2, 3, 3 2.76470588235
+MOP4 no Heath ( 3.3) summarizes an influential and well-established tradition in the study of class differences in education. 16 3, 2, 1, 3, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4 3.35714285714
+MOP4 no This phase is believed to have been controlled by reactions between salt solutions associated with Permian sediments and volcanics and the underlying Devonian rocks. 24 4, 3, 4, 3, 3, 3, 4, 3, 4, 3, 3, 4, 4, 3, 3 3.4
+MOP4 no And his price - its price can be of immense use. 10 2, 1, 3, 3, 3, 1, 2, 2, 2, 3, 3, 2, 3, 2, 2, 4 2.375
+MOP4 no There was a significant improvement in the presence of miners in Mansfield clinic , but since this was much closer to their homes . 22 2, 2, 1, 2, 3, 2, 3, 2, 1, 2, 1, 3, 2, 4, 4, 3, 2 2.29411764706
+MOP4 no ' So maybe most of the errors were on my side . 10 3, 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 3, 4, 4, 4, 2 3.625
+MOP4 no Gere and Basinger star in the erotic thriller final analysis that Warner Home Video will release the video libraries for 18 October. 22 1, 3, 2, 1, 2, 3, 4, 2, 2, 3, 3, 3, 3, 2, 2 2.4
+MOP4 no Recently, concern has grown that Michelangelo's ceiling in the Sistine Chapel in Rome has been irreparably changed by the Vatican conservation team. 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 2, 4, 4, 4, 4, 4 3.82352941176
+MOP4 no Disillusion me and get my sympathy at the same time . 10 3, 4, 1, 3, 3, 3, 4, 2, 2, 4, 3, 1, 1, 3, 3, 3, 4 2.76470588235
+MOP4 no The horse shot out like an arrow from a bow . ' 10 4, 4, 4, 4, 3, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4 3.8125
+MOP4 no The British Horse Society is anxious to find out why a third of them should have happened in this year alone . 21 3, 3, 4, 4, 3, 2, 1, 3, 4, 2, 4, 3, 3, 4, 3 3.06666666667
+MOP4 no Made with Pertex fabrics and Quallofil 7 filling, Compact Lite weighs just 1.2 kg , and in its stuff sack , reduces to 7l . 22 2, 1, 3, 3, 3, 3, 1, 3, 3, 4, 2, 1, 3, 4, 2, 1, 3 2.47058823529
+MOP4 no In exceptional cases , the Department does not apply withdrawal clause if there is a reasonable explanation for failure to notify. 20 4, 3, 3, 3, 4, 4, 4, 2, 2, 3, 2, 4, 4, 4, 4 3.33333333333
+MOP4 no The strategy that had proved so successful in the sphere of science and technology encountered serious problems when applied to complex social systems. 23 4, 4, 4, 3, 2, 4, 4, 3, 4, 3, 3, 1, 4, 4, 4, 4, 3 3.41176470588
+MOP4 no ' Goodness me , who on earth could it be? ' 8 4, 4, 3, 4, 4, 4, 4, 3, 4, 3, 4, 4, 4, 4, 4 3.8
+MOP4 no Small samples are sometimes confused with Synodontis petri color . 9 2, 3, 4, 3, 4, 2, 4, 4, 4, 4, 2, 3, 2, 3, 3, 4, 4, 3 3.22222222222
+MOP4 no They called us out to the stadium early, and it was hot , very hot . 14 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 2, 3, 4 3.64705882353
+MOP4 no Often, I pick up an artist from their home and take them to Middlesbrough where they are interviewed by Radio Cleveland. 21 3, 4, 3, 4, 3, 4, 4, 4, 3, 4, 3, 4, 4, 4, 3, 3 3.5625
+MOP4 no Its muscles, but not so tight as those of a young man, bulged with the effort. 16 3, 3, 2, 4, 3, 1, 4, 2, 3, 4, 3, 2, 1 2.69230769231
+MOP4 no The review copy is solid black, but the basic model is oil finished. 13 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.92307692308
+MOP4 no In their bedroom which crashed to the floor, which instantly awakened one of the twins began to howl . 18 3, 1, 3, 2, 2, 1, 4, 3, 1, 1, 1, 1, 1 1.84615384615
+MOP4 no Want a man who was such a louse . 8 2, 2, 2, 2, 2, 3, 2, 1, 2, 2, 2, 4, 1 2.07692307692
+MOP4 no This required movement can not take place except in a liquid medium. 12 3, 4, 4, 4, 3, 4, 4, 3, 4, 4, 3, 4, 4, 4 3.71428571429
+MOP4 no Upper Stowe was once called Butter Stowe because London carrier together butter here . 13 1, 2, 1, 1, 2, 2, 3, 1, 1, 2, 3, 1, 1, 1 1.57142857143
+MOP4 no Induction of adhesion of specific T- cell subsets of specific cytokines would make the process of lymphocyte recruitment more flexible and selective. 22 3, 4, 3, 4, 3, 3, 4, 4, 2, 4, 3, 4, 4, 3, 3, 1, 4, 4, 4 3.36842105263
+MOP4 no If I had been in your shoes , I would have gone right out of him. ' 15 2, 1, 2, 4, 3, 2, 4, 2, 2, 3, 4, 3, 3, 2, 2, 4 2.6875
+MOP4 no A friend to everyone she met ... much loved and much missed. 11 3, 4, 4, 3, 4, 4, 3, 3, 1, 3, 2, 4, 3, 4, 4, 3, 4 3.29411764706
+MOP4 no ' But it was lost - the walls were built over it, the paper had dissolved. ' 14 4, 4, 2, 3, 3, 3, 4, 3, 2, 4, 3, 3, 4 3.23076923077
+MOP4 no He 's going to buy her a new typewriter , that old thing she practices in making sound like a trumpet Candyman . 20 2, 2, 2, 3, 1, 4, 3, 3, 3, 1, 2, 2, 2, 3, 3 2.4
+MOP4 no The previous maximum flue length for the 10.5kW and 18kW output boiler was three feet . 15 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 3, 2, 4 3.64285714286
+MOP4 no Rising slowly like a machine , she made her way over to the counter and picked up the receiver . 18 4, 3, 4, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 3 3.71428571429
+MOP4 no Does he really offered you your job back? 8 4, 1, 3, 1, 2, 2, 2, 1, 1, 2, 3, 1, 2 1.92307692308
+MOP4 no They were gears that work together , fits into place when and where they were required. 15 1, 2, 3, 2, 3, 4, 2, 3, 4, 2, 3, 3, 4, 3, 3, 2, 4 2.82352941176
+MOP4 no Shall we call it the Lowfield that sooner or continue to use ' The New East Stand ' ? 16 3, 2, 2, 2, 3, 3, 1, 2, 3, 2, 2, 1, 2, 2, 1, 1, 1, 1 1.88888888889
+MOP4 no Agnes , now fully dressed , walked into the hall . 8 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 3, 4, 2, 4 3.70588235294
+MOP4 no You should get a certificate of posting, which is available free on the counter. 14 4, 4, 4, 3, 3, 4, 3, 4, 4, 4, 2, 4, 3, 4, 4, 3 3.5625
+MOP4 no Secondly , they retained 25 percent of the capitation money outside the formula system for discretionary allocations . 16 2, 3, 3, 4, 4, 4, 4, 2, 4, 4, 3, 3, 3, 4, 4, 3, 3, 3 3.33333333333
+MOP4 no Modernization and industrialization of the nineteenth century Britain changed population map. 11 2, 3, 2, 4, 4, 3, 3, 4, 1, 3, 1, 3, 3, 4, 3, 2, 3 2.82352941176
+MOP4 no Pallister 's rivals are: Steve Bruce (Manchester United) , Stuart Pearce (Nottingham Forest, Paul McGrath (Aston Villa) , Gary Lineker ( Spurs ) , Ray Houghton ( Liverpool) . 18 4, 2, 4, 4, 4, 4, 4, 3, 4, 2, 3, 4, 4, 4, 3 3.53333333333
+MOP4 no ' This shows that the company does not learn from this lesson. 11 4, 3, 3, 4, 2, 3, 3, 2, 2, 3, 4, 3, 3, 4, 4, 4 3.1875
+MOP4 no Here we have an uninterrupted view of the prospect , and what a glorious prospect there is , stretching far away for many miles on either hand . 25 4, 3, 1, 3, 3, 4, 3, 2, 3, 3, 3, 2, 4, 1, 2 2.73333333333
+MOP4 no Left Debenhams lambswool jumper, £ 24.99 , cotton chambray shirt, £ 15.99 , tie , £ 7.99; Mill washed cords, £ 29.99 , casual Gibson shoes, £ 34.99 . 19 2, 1, 2, 2, 2, 2, 3, 4, 2, 4, 4, 3, 2, 2, 2 2.46666666667
+MOP4 no Two years before , met two TA soldiers at an Army open day . 12 2, 2, 1, 4, 1, 2, 1, 3, 2, 3, 1, 1, 2, 2, 2, 4, 3 2.11764705882
+MOP4 no Orthodox Judaism continues to teach an elaborate separation of menstruating women from contact with the men in her family . 19 2, 4, 4, 4, 4, 4, 4, 3, 4, 2, 4, 4, 2, 2, 3, 3 3.3125
+MOP4 no A recent architectural survey revealed problems in the 60 -year-old church in greeting Salutation Road. 14 3, 3, 2, 2, 1, 2, 1, 2, 3, 3, 1, 3, 3, 4, 3, 1, 1 2.23529411765
+MOP4 no The fireplace in question was put into a big thick wall that partially divided main compartment. 16 3, 3, 4, 1, 2, 4, 3, 3, 4, 3, 4, 3, 4, 4, 4, 3 3.25
+MOP4 no Ella Burrows was another example of dedicated service. 8 4, 2, 3, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.6875
+MOP4 no It's a brave move to start over in a garden , and a sure test of one's design talents. 18 2, 4, 4, 4, 3, 4, 4, 4, 4, 2, 4, 4, 3, 3, 4, 4 3.5625
+MOP4 no Liverpool won early popularity as a result of Britain's military victories in the Peninsula , just as Mr Major 's reputation was enhanced by the Gulf War . 25 2, 3, 4, 3, 3, 4, 4, 4, 4, 3, 4, 3, 4, 4, 2, 4 3.4375
+MOP4 no EEC has banned BST until further research is conducted . 9 4, 4, 4, 4, 3, 4, 4, 2, 3, 4, 3, 4, 4, 4, 4 3.66666666667
+MOP4 no This deliberate emphasis on young people's unreliable and hurtful past relationship poses a dilemma for housing workers. 17 4, 3, 4, 3, 3, 3, 4, 3, 4, 4, 3, 4, 3, 3, 4, 3, 4 3.47058823529
+MOP4 no Act of July 29, 1881 stated : ' publishing and the press is free. 12 4, 3, 2, 2, 2, 3, 3, 2, 2, 3, 4, 1, 2, 2, 2, 3, 3 2.52941176471
+MOP4 no As far as I can see we can either go for Dersingham or the man himself . 16 4, 2, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.76470588235
+MOP4 no The distinction between the existence of the license and its ceasing to have effect . 14 2, 2, 3, 3, 3, 4, 1, 3, 2, 3, 1, 2, 1, 4, 3, 2 2.4375
+MOP4 no Turn them into public gardens and creating a type rather than an eyesore. 13 4, 2, 3, 2, 2, 2, 3, 3, 3, 3, 3, 1, 3, 4, 2, 2, 1 2.52941176471
+MOP4 no Mr Hawke last week reiterated his support for airlines to recruit new pilots abroad and re - hire their former pilots on individual contracts. 23 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 no In February refused counselors to allow a variation of the hour . 11 3, 4, 1, 1, 3, 4, 2, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1 1.82352941176
+MOP4 no Latin America has the lowest female participation of a region of the world , including the Middle East, despite its severe restrictions on women's activities. 24 3, 4, 4, 2, 2, 4, 4, 4, 4, 3, 3, 3, 2, 3, 1, 3 3.0625
+MOP4 no She smiled and shrugged , staring off into the distance . 9 3, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.73333333333
+MOP4 no Nine schools in three LEAs Midlands , will be identified for specialization , for a survey. 14 2, 4, 3, 4, 4, 3, 2, 1, 2, 4, 3, 4, 4, 1 2.92857142857
+MOP4 no It is when the requirement for neutrality is seen, as it must be, as a sham that the damage is done to the judicial system . 25 4, 3, 3, 2, 1, 3, 3, 4, 1, 3, 4, 4, 3, 4, 3 3.0
+MOP4 no Some of the trees , the vegetation and the animals mechanical creations of Mirage Enterprises. 14 2, 1, 4, 2, 3, 1, 2, 1, 3, 3, 2, 2, 2, 2, 3, 2, 2, 2 2.16666666667
+MOP4 no I tell him because that's what I think , although it may be they or even she . 16 3, 2, 2, 1, 2, 3, 2, 3, 4, 3, 3, 3, 4, 2, 2 2.6
+MOP4 no Julie 's husband Tim stood weeping beside the grave of St Botolph 's Church in Brampton, Northants . 15 4, 4, 1, 3, 3, 2, 3, 4, 3, 3, 4, 4, 4 3.23076923077
+MOP4 no Sequel arising from Hook Barrie - esque willingness to rob another man's family , and from modern man fears for the child itself . 21 4, 2, 2, 1, 1, 2, 1, 2, 2, 2, 3, 2, 1, 1, 2, 2, 1 1.82352941176
+MOP4 no Invite the person closest to you to give you some honest feedback on the degree of diplomacy viewing . 18 4, 4, 3, 3, 4, 4, 3, 2, 4, 4, 3, 3, 4, 4, 3 3.46666666667
+MOP4 no We have seen her golden smile on the face of Tatler and her figure in dozens of fashion glossies . 19 4, 2, 4, 3, 4, 4, 3, 3, 3, 4, 4 3.45454545455
+MOP4 no There is little room and apparently no regard to a contract by the appraiser as principal . 16 3, 4, 4, 1, 3, 2, 3, 3, 3, 4, 3, 3, 2, 3, 4, 4, 2 3.0
+MOP4 no The program indexes specified files on your PC hard disk so that almost instantaneous keyword search . 16 3, 3, 2, 1, 2, 2, 3, 2, 4, 2, 2, 2, 2, 2, 2, 1 2.1875
+MOP4 no And the program ended as it dropped onto the fire to a chorus from the rest of Alf -family 'unclean , unclean' . 19 2, 1, 4, 1, 2, 2, 2, 1, 3, 2, 2, 1, 2 1.92307692308
+MOP4 no John Taylor was an itinerant craftsman who came from Oxford in 1839 to redefine the church bells at Loughborough . 19 4, 4, 3, 4, 2, 3, 4, 3, 4, 4, 3, 4, 4, 4, 4 3.6
+MOP4 no Be flexible , if necessary suggest that more time should be devoted to an item in a meeting . 17 2, 4, 2, 4, 3, 4, 3, 4, 3, 4, 3, 3, 4, 4 3.35714285714
+MOP4 no It was originally published by the American company Houghton Mifflin ) . 10 3, 4, 3, 4, 4, 4, 4, 3, 3, 4, 4, 3, 3, 4 3.57142857143
+MOP4 no For the truth is that no single agent affects our planet as much as we do. 16 3, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 3, 4, 4, 4 3.73333333333
+MOP4 no Those days are gone , thanks to our efforts. 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 no Lay participation in the operation of the service was reduced , appropriate community health advice was created to represent the public. 20 2, 4, 1, 2, 3, 2, 2, 4, 2, 3, 4, 3, 2, 3, 3, 2 2.625
+MOP4 no The result - The Romance of British Wool - will be performed in one of the world 's largest and most prestigious stores in October ( 8-18 ) . 23 1, 3, 2, 4, 3, 4, 4, 3, 1, 4, 4, 3, 3, 4, 4, 3, 3, 3 3.11111111111
+MOP4 no Why not give in to the folly of it, instead of feeling distress? 13 2, 3, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4 3.61538461538
+MOP4 no TV presenter Keith Chegwin opened his heart in front of the cameras yesterday and admitted ""I'm an alcoholic . 17 4, 4, 4, 4, 4, 4, 3, 4, 4, 1, 4, 4, 3 3.61538461538
+MOP4 no They established themselves in the south -west , and their king, Athaulf , held in Narbonne . 13 3, 3, 3, 3, 3, 3, 4, 4, 4, 1, 2, 3, 3, 3, 3, 3, 3 3.0
+MOP4 no Borrowers , Mr and Mrs Clothier , had a £ 225,000 advance at their home in Silverdale Avenue, Walton -on - Thames . 17 1, 4, 3, 3, 3, 4, 4, 2, 4, 3, 3, 2, 4, 2, 3, 4 3.0625
+MOP4 no Rachel sat in tense silence by despicable Damian Flint . 9 3, 3, 3, 1, 3, 3, 3, 2, 2, 2, 4, 2, 3, 4, 4, 4 2.875
+MOP4 no Fat couple in holiday plaid , bouncing around like toddlers in low- g and cooing over the moon dirt souvenir jewelry. 20 1, 3, 1, 1, 2, 1, 2, 2, 2, 3, 2, 4, 1, 1, 3, 3 2.0
+MOP4 no The Presidential Council initially seemed designed to replace the CPSU Central Committee Politburo as the main center of political decision making in the Soviet Union. 25 4, 4, 4, 4, 3, 4, 3, 3, 4, 4, 3, 4, 3, 3, 4, 4, 3, 4 3.61111111111
+MOP4 no The hon . Gentleman said that the proposal was half-baked . 9 3, 4, 3, 1, 4, 3, 4, 3, 2, 2, 3, 4, 3, 4, 1, 3, 3 2.94117647059
+MOP4 no The addition of an associative procedure for this model was thus seen to provide the opportunity for a truly automated kinematic assembly process . 23 2, 3, 4, 3, 4, 3, 4, 3, 4, 4, 4, 4, 3, 4 3.5
+MOP4 no At the end of January the known death toll from the revolution had again reduced drastically to stand at 689 . 20 4, 1, 2, 3, 4, 4, 4, 3, 4, 3, 4, 4, 4 3.38461538462
+MOP4 no OLD sailor Harry Ward is not looking forward to bonfire night ... because his last drinking companion , Johnny papier mache Guy, will be burned alive . 24 4, 3, 3, 4, 3, 3, 1, 3, 3, 2, 4, 3, 3, 3, 4 3.06666666667
+MOP4 no The conveyors are designed to withstand accidents and until recently Govenrment precluded any possibility of a radioactive leak . 18 4, 1, 4, 4, 4, 4, 4, 3, 3, 3, 3, 4, 2, 2 3.21428571429
+MOP4 no I knew there had to be a wound she had been drowned or suffocated or poisoned. 16 3, 2, 1, 3, 3, 2, 3, 4, 3, 4, 2, 2, 3, 3, 2, 2 2.625
+MOP4 no Now, only half of its revenue from mainframe computers : the new strategy means selling less machines, based on industry standard 'open ' operating software. 22 3, 4, 4, 4, 2, 1, 3, 3, 3, 1, 3, 3, 3, 3, 3 2.86666666667
+MOP4 no We are firmly committed to equal treatment of men and women in pensions. 13 4, 4, 4, 4, 3, 4, 2, 4, 4, 4, 2, 4, 3, 4, 4, 3 3.5625
+MOP4 no The venom is rarely dangerous, but anyone who has accidentally stepped on a sea - urchin while swimming knows how painful swelling can be. 23 4, 4, 3, 3, 3, 4, 3, 4, 4, 3, 4, 3, 4, 4, 4, 4 3.625
+MOP4 no Luckily for us simple folk game plot is very straight forward . 11 3, 4, 1, 2, 4, 4, 3, 4, 4, 2, 3, 2, 3, 3 3.0
+MOP4 no They will report to a board of directors chaired by Sir Robert Telford , director of Marconi, a subsidiary of the ubiquitous GEC group. 23 3, 4, 4, 3, 4, 3, 4, 4, 3, 4, 4, 3, 4, 4, 4, 3, 3, 4 3.61111111111
+MOP4 no Let us take the motion of the A and B to be non- relativistic so . 15 1, 3, 3, 2, 3, 3, 4, 1, 3, 2, 3, 3, 3, 3, 2, 3 2.625
+MOP4 no A training allowance and travel expenses for the 16 weeks of the program . 13 4, 2, 2, 2, 4, 3, 4, 3, 3, 3, 2, 2, 3 2.84615384615
+MOP4 no Evaluating the different cell types, such as muscle, skin , gut , and nerve . 12 4, 4, 4, 3, 4, 4, 3, 3, 4, 3, 4, 4, 3, 2, 4, 3, 3 3.47058823529
+MOP4 no Bridget reported that the figures for Easter Course was much lower than in the previous courses held at Avery Hill . 20 3, 2, 3, 4, 3, 4, 3, 3, 3, 4, 2, 2, 4, 3, 4 3.13333333333
+MOP4 no Single £ 4.00 per night , extra night £ 16.00 per night 9 3, 3, 3, 4, 3, 2, 3, 3, 3, 4, 4, 3, 3, 2, 3, 4, 3, 3 3.11111111111
+MOP4 no ( 13) , which likewise was unable to discover a P3A + α subunit transcripts in muscle of chicken , veal or mouse , mouse thymus or torpedo electric organ. 24 2, 2, 1, 2, 3, 2, 4, 1, 1, 3, 3, 2, 2, 2 2.14285714286
+MOP4 no ' Because around Cullbridge is horrible rich in rare species. 9 1, 2, 2, 2, 1, 3, 2, 1, 1, 3, 1, 3, 2, 2, 3, 1 1.875
+MOP4 no In a cold , late spring it can prove difficult to pasture of rye in time to work up a good tilth for mangolds . 23 3, 1, 2, 1, 2, 2, 2, 2, 1, 3, 2, 4, 2, 3, 3, 2 2.1875
+MOP4 no We like dogs today and try to pass on all the right things to do to our current Scallywag , Monty , but he is not impressed. 25 2, 2, 4, 3, 3, 3, 4, 2, 4, 1, 4, 1, 3, 2, 2, 3, 1 2.58823529412
+MOP4 no In the 1880s several Neanderthal -like remains were found, and many paleoanthropologists began to claim that they made a separate species intermediate between apes and humans. 25 3, 4, 4, 4, 2, 4, 3, 4, 4, 2, 3, 4, 3 3.38461538462
+MOP4 no The idea is to make it easier and try to get a good picture of how they feel about their own health . 22 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 3, 4, 4, 4, 3 3.75
+MOP4 no In almost all studies of all sizes , one investigator be occupied full time questioning during the first days after the accident. 21 3, 3, 2, 1, 2, 2, 1, 2, 2, 3, 3, 1, 1, 2, 2, 1 1.9375
+MOP4 no But I think she had a good time. 8 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 4 3.82352941176
+MOP4 no Thinking now Mike was wrong , it was disgusting, but she could not help herself . 14 2, 3, 1, 1, 2, 3, 4, 2, 2, 4, 3, 4, 4, 3, 3 2.73333333333
+MOP4 no Right now, Kendall did not return the aristocratic Everton he did seven years ago. 14 3, 3, 1, 2, 2, 2, 2, 4, 2, 2, 3, 3, 3, 4, 2 2.53333333333
+MOP4 no Australia would be happy if the accord led to the reopening of the Panguna copper mine , one of the world's largest. 21 4, 3, 3, 4, 3, 3, 4, 4, 4, 2, 4, 3, 4, 3, 4, 4, 4 3.52941176471
+MOP4 no It is expected to fall to 15 % in April. 9 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 no Despite net assets up 35 % to £ 458 million in Stanhope, the city is impressed with the sector . 17 2, 4, 3, 2, 3, 4, 3, 2, 3, 4, 3, 2, 4, 4, 4 3.13333333333
+MOP4 no Because a source less abundant and less generous than this river had dried up ? 14 3, 1, 4, 2, 3, 3, 3, 3, 4, 3, 3, 3, 3, 2 2.85714285714
+MOP4 no C - and Ku -band , 4GHz to 6GHz and 11GHz to 14GHz , respectively , are now widely used . 15 3, 3, 3, 4, 4, 1, 3, 4, 3, 4, 4, 2, 4, 1, 3, 3 3.0625
+MOP4 no I will come back again next weekend and we can schedule it . ' 12 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 3, 3, 4, 4, 4, 3 3.6875
+MOP4 no These aspects of political elections is still important, but less than before. 12 3, 4, 1, 3, 2, 2, 2, 3, 4, 3, 4, 3, 3, 3, 3, 3, 3, 3 2.88888888889
+MOP4 no She did look a bit of a fool in front of anyone else who was watching . 16 4, 4, 4, 4, 3, 4, 4, 4, 2, 4, 3, 3, 4, 3, 4 3.6
+MOP4 no A group of North - Eastern businessmen and women last night showed that a Tory vote operations were secured yesterday. 19 3, 3, 1, 2, 4, 2, 3, 3, 2, 4, 4, 3, 2, 2, 3 2.73333333333
+MOP4 no In that case , they had not spent much on a decent script. 12 3, 2, 2, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4 3.53846153846
+MOP4 no Carlsbro Sherwood 90 , acoustic combo , £ 150, Marshall practice amp, £ 45 . 10 1, 2, 1, 1, 1, 1, 1, 4, 3, 4, 4, 3, 3, 1, 2 2.13333333333
+MOP4 no Pam and Errol has two children , ages 13 and 16. 10 4, 2, 4, 2, 4, 3, 3, 3, 3, 3, 4, 4, 4, 2 3.21428571429
+MOP4 no How to learn to change things for the better rather than just learning to adapt to the way things are now? 21 1, 3, 2, 4, 3, 4, 3, 2, 3, 4, 1, 4, 2, 3, 3, 2 2.75
+MOP4 no ' It was thought - everyone thought - she would marry in her turn , and it would be the end of it . 19 3, 4, 4, 2, 3, 4, 2, 2, 1, 2, 3, 4, 1, 3, 2 2.66666666667
+MOP4 no We offer services that are global , integrated and fully comprehensive. 10 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.92857142857
+MOP4 no The Human Resource studied in college and joined the company as a line manager . 14 2, 3, 2, 4, 1, 3, 1, 3, 3, 4, 1, 2, 1, 1, 2, 1 2.125
+MOP4 no The remedy for the static quality of the regime of primary rules consists in the introduction of what we shall call ""rules of change"" . 23 3, 1, 4, 2, 1, 1, 4, 4, 3, 4, 2, 3, 4, 4, 3, 3, 3 2.88235294118
+MOP4 no Sometimes I wonder how he passed his 0 - levels , "" said Dad when we crawled over cobbles and out of the village. 21 3, 3, 3, 4, 3, 1, 3, 3, 2, 4, 3, 3, 3, 2, 3, 3, 3 2.88235294118
+MOP4 no The Houses of Parliament , the cry goes up : "" Burn it down. ' 11 1, 2, 2, 3, 1, 3, 2, 4, 3, 3, 3, 4, 2, 1, 3 2.46666666667
+MOP4 no This is more representative of the nature of R & D projects than are single date often given as a result of a PERT plan. 24 4, 2, 2, 3, 1, 4, 2, 4, 2, 3, 1, 2, 3, 2, 3, 2 2.5
+MOP4 no ' This session , "" commented one of the community cards participants ' indicates that a dialogue is the best way to overcome differences. 20 3, 3, 4, 4, 4, 4, 3, 3, 3, 3, 4, 4, 4, 1, 3, 4, 4 3.41176470588
+MOP4 no When women were given artificial moonlight for three consecutive nights once a month , their cycles synchronized to the lunar rhythm. 20 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3 3.86666666667
+MOP4 no Certainly he was not driven by the same reverent mercenary ambitions of some of his colleagues and sought artistic satisfaction wherever possible . 22 3, 3, 3, 4, 3, 4, 3, 3, 4, 4, 3, 4, 3 3.38461538462
+MOP4 no With snow in plentiful supply , we have a special section in this issue for those of you who want to get off piste . 23 2, 3, 3, 4, 3, 2, 4, 3, 3, 2, 3, 3, 3, 4, 3, 2, 4 3.0
+MOP4 no In other words generalist administrator urge the economists, statisticians , etc. for information, but it is the generalist who is ""on top"". 20 2, 2, 1, 3, 3, 1, 3, 3, 4, 1, 1, 4, 3, 2, 4, 4, 2 2.52941176471
+MOP4 no Long enough to know my own worth , ' Gina said , annoyed by sardonic glint in his eyes. 16 2, 4, 3, 4, 4, 4, 2, 4, 4, 3, 4, 3, 3, 3, 3, 3, 4, 3, 3 3.31578947368
+MOP4 no You are afraid , both of them, that I can detect my mom is not dead at all , are not you? ' 20 1, 3, 2, 2, 1, 1, 1, 1, 4, 1, 1, 2, 3, 1 1.71428571429
+MOP4 no The slush recommend the same to local governments and gives examples of accounting policies that will be commented . 18 3, 2, 3, 3, 3, 4, 2, 2, 3, 4, 1, 2, 2, 4, 3, 3 2.75
+MOP4 no Having decided he must again race the tide , he began a desperate cumbersome ran along the bottom edge of the pier . 21 4, 2, 1, 1, 2, 3, 2, 2, 2, 1, 1, 3, 3, 2 2.07142857143
+MOP4 no The birds can pose a serious health risk to humans who eat them in North Africa and Southern Europe . 19 4, 3, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4 3.86666666667
+MOP4 no After a month, the pain began to ease somewhat and Lisa was able to get up to his own room with Janet help. 23 1, 1, 3, 2, 2, 3, 3, 1, 3, 1, 3, 1, 4, 2, 3 2.2
+MOP4 no These problems , combined with the conservative government's free market philosophy, led to a movement back towards more market -related official rates in 1980. 22 3, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 4 3.76923076923
+MOP4 no He also claims to be considered a true all - rounder , having played many attacking innings in the lower middle order. 20 4, 1, 4, 4, 4, 3, 3, 2, 4, 1, 1, 1, 3, 4, 4, 4 2.9375
+MOP4 no It was a natural sheltered pool , a trick of the rolling meadows along Comer . 14 3, 2, 1, 3, 3, 2, 3, 3, 3, 3, 2, 4, 3, 2, 3 2.66666666667
+MOP4 no Then , slowly at first , he began to prepare the boy for this possible fate. 14 4, 3, 4, 2, 4, 4, 4, 2, 4, 3, 4, 4, 4, 3, 4, 3 3.5
+MOP4 no My German worked like a dream , like a brilliant robot turning on and stand back and admire as it does all the hard work . 24 3, 2, 1, 2, 3, 2, 2, 2, 3, 3, 2, 2, 2, 2, 2, 2 2.1875
+MOP4 no Jess - her blunt nose comes in contact with Samson hand as she coiled around - bit him . 16 3, 1, 2, 2, 1, 3, 2, 4, 4, 3, 2, 3, 2, 1 2.35714285714
+MOP4 no A good deal gives me the feeling that I have been for a nice seven-day trip to the Bahamas. ' 19 3, 4, 4, 2, 2, 4, 1, 3, 1, 3, 4, 4, 2, 4, 3, 4 3.0
+MOP4 no It is excellent for skiing since lateral hopping motion can be used , the calves are well stretched and can also develop posture , balance and coordination. 25 3, 3, 3, 4, 2, 4, 4, 3, 4, 3, 2, 2, 4 3.15384615385
+MOP4 no The biggest area where Renault score is comfort and equipment. 10 2, 1, 3, 3, 3, 3, 4, 3, 2, 3, 4, 4 2.91666666667
+MOP4 no Any previous wheel- pit at this site , however, could have been either demolished and rebuilt or enlarged to take the new wheel. 22 4, 4, 4, 3, 3, 3, 4, 3, 4, 4, 3, 1, 2, 1, 4, 4, 2 3.11764705882
+MOP4 no Along the flanks are arrays of proprioceptors which partially acts as external arteries. 13 2, 4, 3, 2, 3, 4, 4, 3, 4, 4, 4, 3, 4, 2, 3, 4, 3, 1 3.16666666667
+MOP4 no North Harbour coach Brad Meurant said : ' Everybody helped his comrades . 10 4, 2, 3, 4, 1, 4, 3, 2, 4, 3, 3, 3, 3, 4, 4 3.13333333333
+MOP4 no Powerful explosive eruption of gas -charged magma originating in the upper mantle produce small , shallow craters called maars . 17 4, 3, 2, 4, 4, 3, 2, 4, 3, 3, 3, 1, 2, 3, 1, 3 2.8125
+MOP4 no Risk of change in the expected long-term rate of economic growth. 11 2, 3, 3, 3, 2, 3, 4, 3, 3, 3, 3, 3, 3 2.92307692308
+MOP4 no She stood outside the elevators in the hospital's main entrance with other visitors. 13 4, 4, 3, 4, 4, 4, 4, 2, 3, 4, 3, 4, 4, 4, 4, 4 3.6875
+MOP4 no A similar picture emerges in relation to the distribution of gross earnings among female manual workers . 16 4, 3, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 3 3.71428571429
+MOP4 no Solicitors and qualified members of the Institute of Legal Executives . 10 3, 3, 3, 4, 4, 3, 4, 3, 4, 3, 4, 3, 4 3.46153846154
+MOP4 no They are also fundamental to improve the quality and quantity of provision of health and social services , and to combat poverty. 21 2, 3, 4, 3, 4, 4, 4, 2, 3, 3, 4, 3, 3, 3, 3 3.2
+MOP4 no Such orders may be added before Parliament and it was discussed on December 6, 1977 . 15 4, 2, 4, 4, 4, 4, 4, 1, 4, 3, 3, 4, 4, 3, 3, 3, 4 3.41176470588
+MOP4 no ' Yes , well, I always thought Augustine was a bit simple in its ideas , William , waspishly , as if he were talking about a rival academic. 24 1, 3, 1, 1, 3, 4, 2, 4, 2, 1, 1, 2, 2, 1, 3 2.06666666667
+MOP4 no The origins of Brazil's export success in military trainers and small civilian aircraft was quite different. 16 2, 3, 4, 3, 3, 4, 3, 4, 3, 3, 2, 3, 4, 4, 4 3.26666666667
+MOP4 no To my officers , it says why should we bother. 9 4, 4, 4, 4, 1, 3, 4, 3, 4, 4, 3, 3, 3, 3, 4, 2, 4 3.35294117647
+MOP4 no Her Royal Highness traveled in an aircraft of the Queen's plane and was accompanied by Mrs Harry Cotterell . 18 2, 3, 4, 2, 3, 2, 4, 3, 1, 3, 4, 3, 4, 4 3.0
+MOP4 no In the last two years of the war , I was in court visit each station and squadron in my endless quest for Pathfinders . 23 3, 2, 3, 2, 2, 2, 2, 2, 2, 3, 1, 4, 2, 1, 2, 2 2.1875
+MOP4 no EU does not concern itself with national health and education policies. 11 3, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 3, 4 3.82352941176
+MOP4 no The manager makes all the decisions and issues instructions, expecting them to be obeyed without question. 16 4, 3, 4, 4, 4, 3, 4, 4, 3, 3, 4, 4, 4, 4, 4, 3, 4 3.70588235294
+MOP4 no Now I understand why they paid Macaulay Culkin $ 3,000,000 - he deserved it . 12 4, 3, 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 2, 4, 4 3.70588235294
+MOP4 no This time there were windows to the child ( invisible competitor ) so your child can see how chocolate was on each trial. 21 1, 1, 2, 2, 1, 3, 1, 1, 3, 2, 3, 1, 2, 1, 2, 1 1.6875
+MOP4 no It is of such character string comparisons formats that we now turn . 12 2, 2, 2, 1, 1, 1, 1, 2, 3, 3, 2, 3, 2, 4 2.07142857143
+MOP4 no He has been with me too , Brother, ' Tundrish replied simply . 10 4, 2, 3, 3, 3, 1, 4, 3, 4, 2, 4, 2, 4, 4 3.07142857143
+MOP4 no He had noted with approval the hot tears of Antiochus III , when the rebellious Achaeus was brought to him "" bound hand and foot "" ( 8.20.9 ) . 24 4, 3, 4, 1, 4, 4, 4, 4, 4, 4, 3, 4, 2, 4, 2 3.4
+MOP4 no Of the 18 patients who were alive at short term follow up (mean (range ) 19.4 ( 10-33 ) months) was 14 still alive in 1992 ( 69 ( 61-83 ) months ) . 24 2, 1, 2, 1, 3, 1, 4, 3, 2, 3, 4, 2, 2 2.30769230769
+MOP4 no He took the gun and went to the door , checking the horse and cart was still securely bound . 18 4, 1, 4, 3, 3, 3, 4, 3, 3, 4, 3, 2, 4, 3, 4, 3 3.1875
+MOP4 no Front sash window , original fireplace , built in single wardrobes , radiator , power points , stripped wood flooring. 15 1, 3, 4, 3, 2, 3, 4, 3, 2, 3, 3, 4, 3, 3, 3, 3, 4 3.0
+MOP4 no The result has been to destroy much of the progress in health care in the years prior to every dispute . 20 4, 4, 4, 4, 2, 2, 3, 2, 4, 3, 4, 3, 3, 3 3.21428571429
+MOP4 no Laughter shone in his eyes when he met her belligerent stare. 11 3, 4, 4, 4, 3, 4, 4, 4, 3, 2, 2, 4, 3, 4, 4 3.46666666667
+MOP4 no They were just minutes from the train station , the service was frequent . 12 3, 2, 3, 3, 3, 4, 3, 2, 3, 1, 4, 3, 3, 4, 4, 4 3.0625
+MOP4 no Perhaps most significant of all, three of boxing 's all-time greats - Ali , Robinson and Armstrong - was born into comfortable circumstances. 19 2, 1, 2, 4, 4, 1, 3, 3, 4, 2, 4, 2, 2, 3, 4 2.73333333333
+MOP4 no Halifax Building Society, where the bombers had placed his unit , is now a pile of rubble . 16 4, 3, 2, 2, 4, 4, 4, 4, 3, 4, 4, 4, 4 3.53846153846
+MOP4 no Michael Ryan has set for a rapprochement between deconstruction and Marxism. 11 3, 3, 1, 1, 4, 2, 2, 2, 4, 2, 3, 4, 2, 2, 3 2.53333333333
+MOP4 no There is no other catalog quite like OXFAM Christmas catalog. 10 3, 4, 4, 4, 4, 4, 3, 2, 4, 4, 3, 4, 4, 4 3.64285714286
+MOP4 no Unless there are more resources pumped in, this is going to happen , she says. 14 3, 4, 2, 4, 4, 2, 3, 4, 3, 4, 3, 3, 3, 4, 4, 4, 2, 4 3.33333333333
+MOP4 no It was a way of thinking and behaving . 8 4, 4, 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4 3.86666666667
+MOP4 no Yes,"" she said briefly , and for a while they studied each other . 12 3, 4, 4, 1, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4 3.625
+MOP4 no The parts of the law are arranged in three groups . 10 4, 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.86666666667
+MOP4 no Oddly , his only international appearance for the English against the Scottish League in 1914. 14 1, 4, 4, 3, 2, 4, 3, 3, 4, 2, 3, 2, 2, 3, 4, 3 2.9375
+MOP4 no Through discussions information from other sites are confidential. 8 4, 3, 2, 2, 2, 3, 3, 2, 4, 2, 3, 3, 2, 1, 3, 2, 3, 3 2.61111111111
+MOP4 no A prime minister can not safely delegate its investigation because , once adopted , these rules affect the lives of 56 million Britons . 21 3, 3, 4, 4, 1, 4, 4, 4, 4, 3, 3, 4, 3, 4, 3 3.4
+MOP4 no Somewhere in the silence between them a phone began urgency , persistent ring . 12 1, 3, 3, 2, 2, 3, 2, 2, 2, 3, 2, 2, 1, 1, 1, 3 2.0625
+MOP4 no In a number of cases reminders were necessary ( both in writing and by telephone ) . 14 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 3, 3, 4 3.66666666667
+MOP4 no However , things may look quite different from the angle of them just above the lower limit. 16 3, 2, 3, 3, 2, 3, 4, 4, 2, 3, 3, 2, 2, 2, 2 2.66666666667
+MOP4 no Repeat what they hear , women on the right claim that something called "" Salvadorean democracy "" is in danger. 17 4, 1, 2, 1, 2, 4, 2, 1, 1, 2, 1, 3, 3 2.07692307692
+MOP4 no Thomson Holidays include an airline (backward integration) and a chain of travel agencies (forward integration) . 13 4, 4, 4, 2, 4, 4, 3, 4, 3, 4, 3, 4, 4, 3, 4, 4 3.625
+MOP4 no Some of London's historic houses can still be seen as they were intended. 13 4, 4, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.76470588235
+MOP4 no Table I summarizes the clinical features of these patients . 9 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.9375
+MOP4 no Further information from SS Langer, RSC , Burlington House , Piccadilly , London W1V 0BN . 12 3, 1, 3, 2, 3, 2, 2, 3, 2, 3, 2, 1, 3, 3, 3, 1 2.3125
+MOP4 no The Jarisch - Herxheimer reaction , usually abbreviated as "" Herxheimer ' reaction following the first dose for the treatment of syphilis in a percentage of cases. 23 3, 1, 1, 2, 2, 2, 3, 3, 3, 3, 3, 3, 2, 3 2.42857142857
+MOP4 no Ideally, this would not be necessary if those submitting them has a vision for and support the work financially. 19 2, 4, 1, 1, 3, 4, 3, 2, 3, 3, 4, 3, 3, 3, 2, 3, 2, 2 2.66666666667
+MOP4 no Looking around the room , on the old , worn furniture , I realized that Herbert must be very bad . 17 3, 2, 3, 2, 3, 4, 3, 3, 2, 3, 2, 3, 3, 2, 4, 2 2.75
+MOP4 no They will be joined by John Tierney and John Kerr. 10 4, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4 3.8
+MOP4 no Nevertheless trophy sitting in Jim office at Peel Park and will stay there . 13 2, 2, 2, 3, 2, 4, 3, 4, 2, 1, 1, 1, 2, 2 2.21428571429
+MOP4 no Homology search in Leeds and Swiss protein databases failed to detect any significant similarity with other proteins. 17 3, 4, 4, 3, 4, 4, 3, 3, 3, 4, 4, 2, 3, 2, 4, 3 3.3125
+MOP4 no ' It may have something to do with Angy murder. 9 3, 2, 1, 3, 3, 3, 3, 3, 4, 4, 1, 3, 3, 3 2.78571428571
+MOP4 no Farmers , who see themselves as guardians of the west , saying that grazing generate economic stability and feeds the nation. 19 2, 1, 3, 1, 2, 3, 3, 3, 3, 2, 2, 3, 2, 2, 1, 2, 3 2.23529411765
+MOP4 no A water softener works on the principle of "" ion exchange "" . 10 2, 4, 4, 3, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4 3.57142857143
+MOP4 no Steve Jones (he speaks specifically about Jones ' zealous Christianity) : "" Many people are simply uncomfortable with some people "" over - religious ""or whatever you call it . 22 4, 2, 3, 4, 1, 4, 4, 3, 2, 2, 3, 1, 2, 3, 3, 3 2.75
+MOP4 no Lorne plateau is formed of Devonian andesitic lava and tuffs that are concurrent with Lagalochan intrusion and mineralization, and unconformably lie over Dalradian schists . 24 2, 3, 1, 3, 4, 3, 4, 2, 1, 2, 3, 2, 4, 3, 3 2.66666666667
+MOP4 no Many of them also offer a mail order service 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 no He looked up at Athelstan , his face beaming with pride. 10 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.92857142857
+MOP4 no She was used to drive the luxurious Saab at this time, although the first charge had paralyzed her considerably. 19 1, 1, 4, 1, 4, 2, 1, 2, 2, 2, 2, 3, 2, 2, 3, 4, 3 2.29411764706
+MOP4 no We want to give children positive memories that they can draw on in difficult times at home to build a better country . 22 4, 3, 3, 3, 4, 4, 4, 4, 2, 4, 4, 3, 4, 3, 4 3.53333333333
+MOP4 no 'The PLO was trying to sabotage the departure of Muslims. 9 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 4, 3, 4 3.78947368421
+MOP4 no MOTOROLA get GLOVES OFF IN BATTLE WITH HIS old rival, Prices PowerPC PRICED TO BEAT PENTIUM 16 1, 1, 1, 1, 2, 1, 2, 1, 3, 2, 3, 1, 1, 3, 1, 2, 2 1.64705882353
+MOP4 no Like many popular assumptions about the subject, this is wrong . 10 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4 3.84210526316
+MOP4 no Mutalibov told Izvestiya , from his hiding place in Russia , that the charges were political persecution . 15 1, 3, 4, 3, 1, 4, 4, 4, 4, 4, 2, 4, 3, 4, 4 3.26666666667
+MOP4 no For Commercial Union market model explained 25 percent of the variation between the returns . 14 2, 3, 2, 2, 2, 2, 3, 3, 2, 4, 1, 3, 1 2.30769230769
+MOP4 no My suggestion , I assure you, will be of mutual benefit. ' 10 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 3, 4, 4, 3, 3, 4 3.70588235294
+MOP4 no Only in John's Gospel he makes a curious and deeply interesting statement . 12 4, 2, 3, 2, 4, 3, 3, 3, 3, 3, 2, 2, 4, 3, 4 3.0
+MOP4 no They were returning from a day repair and construction work on a military base in Omagh . 16 2, 3, 4, 4, 3, 4, 4, 3, 4, 2, 4, 4, 4, 2, 4, 4, 3 3.41176470588
+MOP4 no In one area ... four halls had their roofs burned off. 10 4, 3, 3, 4, 1, 4, 4, 3, 4, 4, 2, 3, 3, 3, 4, 3, 4 3.29411764706
+MOP4 no The buildings were transformed either pour into a gallery of Bohemian art of František Josef CuBr and Pilar, in 1960. 20 3, 1, 2, 1, 1, 2, 2, 2, 3, 2, 2, 1, 4, 4, 1, 1, 1 1.94117647059
+MOP4 no But the other part cried out against the very thought that she is someone else's wife . 16 3, 4, 4, 2, 3, 4, 2, 4, 4, 2, 3, 2, 4, 4, 4, 2 3.1875
+MOP4 no These problems or investigation is expected to be diverse. 9 4, 1, 4, 4, 2, 3, 3, 1, 4, 3, 3, 3, 2, 3, 3, 2 2.8125
+MOP4 no Between August 1975 and December 1978 in COS -B satellite observed 2CG342 - 02 on five occasions and cataloged it as the tenth strongest γ - ray source. 24 4, 4, 2, 2, 2, 4, 4, 3, 4, 4, 4, 2, 4, 2, 4 3.26666666667
+MOP4 no ' We sent our rescue team as soon as we could, but it was too late, he says . 17 2, 4, 3, 2, 4, 4, 3, 4, 4, 4, 3, 3, 3, 3, 4, 4, 4 3.41176470588
+MOP4 no Not like a Saturday night at all though , not really. ' 10 4, 2, 2, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 4, 2 3.46666666667
+MOP4 no Hopeful for what he did not want to miss when it fails 12 1, 2, 3, 2, 2, 2, 3, 2, 2, 1, 3, 1, 3, 4, 3, 2 2.25
+MOP4 no And what would you have done if Schemichal got hold of you and threw you off that last night ? 19 4, 4, 2, 4, 2, 4, 4, 4, 2, 4, 3, 4, 3, 3, 4 3.4
+MOP4 no I should add that the argument he also invited my attention to paragraph 5 ( 7 ) and I will refer to that: 21 1, 2, 2, 1, 1, 2, 1, 1, 2, 3, 3, 2, 3, 2, 3, 1, 2 1.88235294118
+MOP4 no Once I was happy with the bottom group I copied it, like a mirror , on top of the image . 19 3, 3, 4, 3, 4, 3, 4, 4, 2, 4, 2, 3, 4, 2, 3 3.2
+MOP4 no From then on , the path to the double helix clear. 10 1, 2, 1, 2, 1, 1, 1, 1, 3, 2, 1, 2, 1, 3 1.57142857143
+MOP4 no Sun is also preparing its Scorpion eight-way Sparc desktop computer for launch at Sunworld show at 11 May. 18 3, 4, 4, 4, 3, 4, 3, 3, 4, 3, 4, 4, 3, 2, 3, 3 3.375
+MOP4 no Therefore, political and economic accounting of the costs and benefits of soil conservation programs for others outside the directly affected areas are potentially relevant. 24 3, 4, 4, 2, 4, 4, 4, 3, 4, 3, 4, 4, 3, 3 3.5
+MOP4 no Does he further agree that there is a need to reopen the neighborhood police stations and putting more emphasis on community policing ? 22 2, 4, 4, 4, 4, 3, 4, 4, 3, 3, 2, 2, 2, 3, 2, 3 3.0625
+MOP4 no Fourteen days later Edward sealed text and issued it to all women . 12 2, 4, 2, 3, 4, 2, 3, 3, 2, 3, 4, 4, 2, 3, 4, 3, 4 3.05882352941
+MOP4 no Since then it has been so intensely followed as many full-length TV shows . 13 2, 4, 3, 3, 1, 4, 3, 2, 4, 4, 1, 3, 2, 4, 4, 2, 3 2.88235294118
+MOP4 no Questionnaire sent by mail will not be returned and refused interviews . 11 2, 3, 2, 3, 3, 3, 2, 4, 3, 2, 3, 2, 2 2.61538461538
+MOP4 no Twice I ran dangerously close to the edge , my eyes dazzled and eyelid drooping. 14 3, 4, 3, 1, 3, 3, 2, 1, 4, 3, 4, 4, 2, 3, 3, 4 2.9375
+MOP4 no The operation will eventually involve more than 35,000 troops from at least nine countries. 14 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 no UI will no longer be just a claim body or a marketing arm for USL . 15 4, 4, 1, 4, 4, 4, 3, 1, 3, 4, 4, 4, 3 3.30769230769
+MOP4 no Before explaining how to tackle a course race is worth looking at what makes a sailor go faster than another . 20 3, 2, 3, 3, 1, 1, 4, 2, 4, 3, 2, 1, 2, 1, 2, 1, 2, 1 2.11111111111
+MOP4 no Only there was anything else she could go . 8 2, 1, 1, 1, 1, 1, 2, 2, 1, 3, 1, 4, 1, 2, 2 1.66666666667
+MOP4 no Although his features looked as if they had been carved out of the rock, in the depths of his eyes touched something . 22 2, 1, 2, 1, 2, 4, 1, 1, 3, 3, 2, 3, 1, 3, 2, 3, 4 2.23529411765
+MOP4 no In both subjects , however, the status quo changed radically in comparison to 1979. 13 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 3, 4 3.75
+MOP4 no These percentages were not uniform across the country , local specialties dictated what was available . 14 2, 3, 3, 4, 3, 4, 4, 3, 4, 3, 4, 2, 3, 4, 3, 3 3.25
+MOP4 no We may never know the exact number of deaths. 9 4, 4, 4, 4, 3, 4, 4, 2, 4, 4, 4, 4, 4, 3 3.71428571429
+MOP4 no This was rejected on 17 April and 18 respectively . 9 3, 2, 4, 2, 2, 4, 4, 4, 4, 3, 2, 3, 3, 2 3.0
+MOP4 no Women , Art and Society is a synthesis of the work has been progressing for twenty years about women and the visual arts . 22 1, 1, 1, 4, 3, 1, 3, 2, 1, 3, 3, 3, 2, 3, 4, 3, 3 2.41176470588
+MOP4 no At his own expense he established no less than ten p.m. charitable schools in Pembrokeshire alone. 16 2, 2, 3, 4, 4, 3, 3, 2, 4, 1, 3, 1, 2, 1, 3, 2 2.5
+MOP4 no Ground deformation during an earthquake could bend pipes as if they were drawn copper wire. 15 4, 4, 4, 3, 2, 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 3, 3 3.61111111111
+MOP4 no Within a few days of his election he already knew that the way to achieve this "" new Pentecost "" was an Ecumenical Council. 22 4, 3, 4, 4, 4, 3, 4, 2, 3, 4, 4, 2, 3, 4, 4, 4, 2 3.41176470588
+MOP4 no To follow Jesus as his disciples means that we also encounter resistance to live like him . 16 4, 4, 4, 4, 4, 2, 4, 3, 3, 4, 2, 3, 4, 4, 3, 2 3.375
+MOP4 no His wheel ran into the wet grass and the machine crumpled and fell to his knees like an animal shot in the chest. 23 3, 2, 4, 3, 4, 4, 3, 3, 3, 3, 2, 1, 2, 2 2.78571428571
+MOP4 no Jenna stopped and faced him angry, but before she could speak he tilted her face with a strong brown hand . 20 3, 2, 4, 4, 1, 2, 3, 2, 1, 3, 2, 3, 1, 4 2.5
+MOP4 no I look at you, "" said Grainne softly , ""and I do not see travesties . 12 3, 3, 3, 3, 3, 4, 4, 3, 4, 4, 4, 2, 3, 1, 4, 4 3.25
+MOP4 no Next day one of 252 Squadron newcomers Beaufighter ( T3237 ) was mistaken for a Ju88 while on a local flight. 19 1, 3, 2, 4, 4, 1, 4, 4, 4, 2, 3, 3, 4, 4, 3 3.06666666667
+MOP4 no Carrington saw the ocean for the first two hours , mesmerized by the Scandinavian night, then went to sleep . 18 3, 4, 2, 4, 3, 3, 3, 3, 4, 3, 2, 4, 4, 4, 4, 3, 3, 3 3.27777777778
+MOP4 no It was originally recorded as a crib and there was no deathbed , but there will now be a deathbed . 19 3, 3, 3, 4, 2, 3, 3, 4, 4, 3, 2, 2, 3, 2, 4 3.0
+MOP4 no Political in the sense that if I threw this glass of water over yourself in an interview , it would be a political act . 23 2, 4, 3, 3, 2, 4, 3, 3, 3, 2, 3, 3, 3, 3, 3 2.93333333333
+MOP4 no ' So you're going solo now, said the victim, fumbling for her smoking again . 13 4, 3, 2, 4, 2, 2, 2, 3, 2, 2, 2, 2, 2, 4, 2, 4, 2, 2 2.55555555556
+MOP4 no Here are ten assorted uses for this book ; 8 4, 3, 4, 4, 4, 4, 3, 3, 4, 4, 3, 3, 4, 4, 4, 4, 4 3.70588235294
+MOP4 no Still in deep , old Michael , I should think . 8 3, 4, 2, 2, 1, 2, 2, 3, 2, 2, 1, 1, 3, 1, 2, 1 2.0
+MOP4 no A sports injury to increase the athlete, or Gilmore groin that occurs when tendons in the groin tear due to excessive stretching and twisting . 24 1, 1, 2, 4, 1, 2, 1, 2, 2, 2, 1, 1, 1, 3, 2, 1 1.6875
+MOP4 no Ideal for a small flat , the washer / dryer as advanced as the one in the main house laundry . 18 2, 4, 3, 2, 3, 2, 2, 3, 2, 4, 2, 3, 2, 3, 4, 2, 2 2.64705882353
+MOP4 no The deputy chairman of the Council of Ministers , Boris Shcherbina , forbade the evacuation of surrounding Chernobyl until a government commission had come from Moscow. 24 3, 4, 3, 4, 4, 4, 2, 4, 4, 4, 3, 3, 3, 4, 4, 4 3.5625
+MOP4 no The weekend was associated with an increase in fluctuations in accordance with expectations. 13 4, 4, 3, 3, 4, 4, 3, 3, 3, 4, 2, 4, 3, 3, 4, 4 3.4375
+MOP4 no There is a tradition in our family that Santarém Madonna will always be reunited with their owners , do you know? 20 2, 3, 1, 2, 3, 2, 3, 2, 4, 3, 4, 3, 1, 3, 3, 3, 1, 3 2.55555555556
+MOP4 no As it is a beta version , it is difficult to give ClarisWorks one star rating. 15 3, 3, 2, 4, 3, 3, 4, 2, 2, 3, 4, 4 3.08333333333
+MOP4 no All she had to do was get a good night's sleep. 11 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4 3.86666666667
+MOP4 no A TOWN farm is plowing ahead with fundraising schemes to help disabled people and plans to the ceiling in a riding area for the disabled. 25 2, 2, 2, 1, 2, 2, 1, 3, 2, 3, 3, 1, 3, 2, 2, 1, 2 2.0
+MOP4 no 'All credit to Gavin gave me the ball in the end, with a little persuasion . 14 1, 3, 2, 2, 3, 2, 3, 3, 1, 3, 1, 1, 2, 2, 3, 3 2.1875
+MOP4 no The first drafts of The Prelude was written in Germany in winter 1798-9 . 13 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 2, 3, 4 3.6875
+MOP4 no Soldiers will no longer be given free cigarettes. 8 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4, 4 3.85714285714
+MOP4 no A criminal trial is not a court order to reveal the truth . 12 4, 4, 3, 4, 2, 4, 3, 4, 4, 4, 4, 4, 3, 3, 4, 3 3.5625
+MOP4 no They came to the kind of unspoken understanding real twins enjoy. 11 4, 4, 4, 4, 4, 3, 1, 3, 4, 4, 4, 4, 2, 4, 4 3.53333333333
+MOP4 no ' Harbury 's husband crime , ""said a voice, "" what is his opinion? ' 9 1, 1, 1, 1, 1, 1, 3, 2, 1, 1, 2, 1, 3, 3, 2, 1 1.5625
+MOP4 no Dustin is neat Beatle cut is slightly disheveled , and there is a close up of a mole on the right shoulder . 21 2, 2, 1, 1, 2, 2, 2, 1, 2, 2, 4, 1, 1, 2, 2, 2 1.8125
+MOP4 no In the late 1940s there was a wider range of predefined grocery lines available, and improvements had been made in the quality of packaging. 24 4, 3, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 3, 4 3.71428571429
+MOP4 no After clearly factual ' Headpiece filled with straw "" comes the most absurd poetic words of all, indicating the speaker's weakness. 19 2, 2, 2, 1, 4, 3, 3, 4, 1, 3, 2, 3, 3, 1 2.42857142857
+MOP4 no I thought it was some weirdo and when I asked who was calling voice shouted, "" That's me ! ' 17 3, 2, 2, 3, 1, 1, 4, 3, 3, 4, 3, 3, 2, 3, 2, 3, 4 2.70588235294
+MOP4 no Well, it's not a bad idea, is it? 8 3, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 3, 4 3.8125
+MOP4 no The beauty of glass , he wrote , is this, that the surface does not need to be covered . 17 2, 4, 4, 4, 3, 3, 4, 4, 3, 4, 1, 3, 4, 3, 3, 1 3.125
+MOP4 no The Cougar mold was last used about 8 years ago and is past his best, he suggests Mirage similar to the Cougar . 22 2, 1, 2, 3, 3, 3, 3, 2, 1, 2, 4, 2, 2, 2, 3, 3 2.375
+MOP4 no I should probably have a word said Brigadier , pull the head and open the door. 15 2, 3, 1, 2, 2, 2, 1, 4, 3, 1, 1, 2, 2, 4, 2, 4, 1, 2 2.16666666667
+MOP4 no Some slogans and ideas from the "" Democracy Wall Movement"" of 1978-1979 was another brief consultation during these days. 18 3, 3, 4, 3, 2, 2, 2, 3, 3, 1, 3, 3, 3, 2, 4, 1 2.625
+MOP4 no The Metropolitan Police decided in the Supreme Court damages claim by cameraman Mr Anthony Walsh , whose spine was injured during the Wapping dispute. 23 3, 4, 1, 4, 2, 4, 2, 3, 1, 3, 2, 3, 2, 4, 1 2.6
+MOP4 no ' If I get another few shillings out of it, I have not earned them ? 14 3, 3, 4, 4, 4, 2, 3, 2, 4, 3, 3, 3, 4, 2, 2, 4 3.125
+MOP4 no Fill the gaps, identify queries and note points of immediate attention. 11 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 2, 4 3.69230769231
+MOP4 no And he blows the smoke back into my mouth . 9 3, 4, 3, 4, 4, 4, 4, 4, 4, 4, 2, 4, 4, 4, 2, 4 3.625
+MOP4 no The genetic spray was described as a very exciting development by another team of researchers, Dr Julia Dorin . 18 4, 1, 2, 3, 3, 4, 4, 2, 4, 3, 3, 3, 3, 4, 3, 3, 4, 3 3.11111111111
+MOP4 no The old Highways Yard in Rigby Road with its railway connection seemed to offer an ideal site . 17 4, 3, 4, 4, 4, 4, 2, 3, 4, 3, 3, 4, 3, 4, 4, 4 3.5625
+MOP4 no Jodami and Jag wild jumped the last together, and Jodami found the vital additional equipment to benefit from it. 19 2, 3, 2, 3, 3, 2, 1, 3, 3, 4, 1, 1, 2, 1, 2, 1, 1 2.05882352941
+MOP4 no Is it possible to view private wealth co - existing with corporate poverty ? 12 4, 3, 3, 2, 3, 4, 4, 2, 3, 3, 4 3.18181818182
+MOP4 no The Ardakkeans was said to be superhuman strong and invulnerable to most life - threats. 14 4, 2, 4, 4, 3, 2, 2, 4, 3, 3, 2, 3, 2, 4, 3, 3, 3 3.0
+MOP4 no Villagers fight to block the sale of the old common 10 3, 3, 4, 3, 4, 4, 2, 4, 2, 4, 2, 3, 3, 4, 3, 3, 3 3.17647058824
+MOP4 no There are various ways that a recovery may be obtained from: - 11 2, 3, 1, 2, 3, 1, 4, 3, 4, 3, 2, 2, 2, 2, 4 2.53333333333
+MOP4 no By the way , it seems a long way , but I just need to walk a mile across the fields outside the farm. 22 3, 3, 4, 3, 3, 3, 4, 3, 4, 3, 4, 3, 2, 4, 3 3.26666666667
+MOP4 no And Notes from Underground is just such a fable of disembodied consciousness. 12 3, 2, 3, 3, 3, 2, 3, 2, 2, 2, 3, 4, 1, 4, 3, 4, 4 2.82352941176
+MOP4 no We got our film crew and Robin sat down in front of our reeds. 14 4, 2, 2, 2, 3, 3, 1, 3, 4, 2, 3, 4 2.75
+MOP4 no Conservative candidate Robert Goodwill, has written to Labour's Marjorie Mowlam ask her to clarify her personal position on the nuclear defense of the country. 24 2, 3, 2, 3, 3, 2, 4, 3, 3, 2, 3, 4, 4, 3, 3, 3, 1 2.82352941176
+MOP4 no The Arab masses, indignant at the Western humiliation of Saddam Hussein , were expected to rise up against their pro - Western leaders . 21 4, 1, 4, 4, 4, 3, 4, 3, 4, 2, 4, 3, 4, 4, 4 3.46666666667
+MOP4 no Some of America's most powerful men are worried sick after the theft of an address belonging to New York's most notorious madam . 22 3, 4, 3, 3, 3, 4, 2, 2, 3, 4, 4, 3, 4, 4, 4 3.33333333333
+MOP4 no Neil Cosson , director of the Science Museum , is convinced the old numbers can be restored. 15 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 no It would be a good exercise to compare this electrical system with clear acoustic string telephone in Part 1 ( November 1991 edition ) . 22 3, 3, 3, 4, 3, 4, 2, 3, 2, 4, 4, 3, 3, 3, 3, 3 3.125
+MOP4 no The role of the state was even more pronounced in Berlin in the cultural sphere. 15 3, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4 3.6875
+MOP4 no AID TRIP gives students a lesson in third world poverty and FEAR 12 3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 4, 4, 1, 3, 3, 3, 4 3.0
+MOP4 no She noticed his fingers trembled , and her anger faded , replaced instead by a wildly optimistic and hopeful. 17 3, 2, 2, 3, 3, 4, 2, 2, 4, 4, 2, 2, 2, 2 2.64285714286
+MOP4 no In the jargon of quantum mechanics , this choice of behavior known statistic followed by the particle. 16 1, 3, 2, 2, 2, 3, 2, 3, 1, 4, 2, 4, 2, 3, 2 2.4
+MOP4 no You can format the spreadsheet manually , or design your own speed format routine. 13 4, 4, 4, 4, 4, 3, 3, 3, 4, 4, 4, 2, 3, 4, 4, 3 3.5625
+MOP4 no He came to an arrangement with two actors, camera crews gave some private pocket and turned the film over to his assistants . 22 1, 2, 2, 1, 3, 3, 3, 3, 4, 2, 2, 3, 3, 2, 4, 2 2.5
+MOP4 no CELIA ALMOST WELCOMED thought of going to work. 8 2, 4, 1, 2, 2, 3, 2, 3, 1, 3, 2, 4, 4, 1, 3, 1 2.375
+MOP4 no I can only assume that my name had respectable associations, and he thought it could dampen criticism that can be called Athenaeum circles. 23 3, 3, 3, 3, 3, 1, 4, 3, 2, 3, 2, 2, 2, 3, 4, 3, 2, 4 2.77777777778
+MOP4 no Earth to earth , ashes to ashes , dust to dust ... ' 9 4, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 3, 4, 4, 4 3.8
+MOP4 no ' It so happened that No 5 Air School was not far away from the mine where Churchill hid under the Boer War, "" Clifford recalls. 24 4, 2, 3, 3, 2, 1, 4, 3, 3, 4, 3, 4, 3, 4, 4 3.13333333333
+MOP4 no I like to work things out with numbers, such as how much wallpaper or carpet I need to buy 19 4, 4, 4, 4, 4, 3, 3, 3, 4, 3, 2, 4, 3, 4, 4, 4 3.5625
+MOP4 no Not only will the sample be easier in the future , but it should also be cheaper too. 17 4, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 4 3.84615384615
+MOP4 no I then turned the picture round and completed the other two sides . 12 4, 2, 4, 4, 3, 3, 4, 3, 4, 4, 3, 3, 3, 3, 4, 4 3.4375
+MOP4 no If so, they share their knowledge with us ? 8 1, 3, 4, 2, 3, 2, 2, 4, 3, 2, 2, 3, 1, 3 2.5
+MOP4 no Tip the mixture into the prepared tin and tilt the tin to level the mixture. 15 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 2, 4, 3, 4, 4, 4 3.75
+MOP4 no U2 last night unveiled its stunning new video interference on a spectacular bash at London Planetarium ... 16 2, 3, 3, 3, 4, 4, 4, 4, 3, 3, 3, 3, 3, 4, 3, 4 3.3125
+MOP4 no But Mr. Leggatt hoped that the shortage of space for burials would lead to restrictions in the future . 18 3, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 1, 4, 4, 4, 4, 2, 2 3.44444444444
+MOP4 no My social worker who gave me advice asked me to adoption or fostering , and I said fetuses (it was a white family). 21 2, 4, 1, 1, 1, 1, 1, 1, 3, 1, 3, 1, 1, 1, 3, 2, 2 1.70588235294
+MOP4 no For this reason it was really only suitable for the production of plywood, which was very successful. 17 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 3, 4 3.73333333333
+MOP4 no But I guess they 've got something to show if they have built good roads and railways and so on . 19 4, 4, 4, 4, 4, 4, 4, 3, 4, 3, 4, 4, 3, 4, 3, 4, 4, 4 3.77777777778
+MOP4 no Tom - Frode , Odd -Knut and Tony waiting for us to arrive. 10 4, 2, 2, 1, 3, 4, 3, 1, 1, 3, 3, 2, 2, 3, 3 2.46666666667
+MOP4 no The white lines show the body's electric power energy -giving crystals can set 12 1, 2, 3, 3, 1, 1, 3, 1, 1, 3, 2, 2, 3, 4, 3, 1 2.125
+MOP4 no Gift to create a pleasant environment with minimal resources . 9 2, 2, 1, 3, 2, 3, 3, 3, 4, 3, 4, 2, 2, 1, 3 2.53333333333
+MOP4 no Guinness provides financial support to organizations engaged in medical research, health , youth , environment and conservation , employment and enterprise foundations , education and the arts. 23 4, 4, 4, 3, 2, 4, 2, 4, 4, 4, 4, 4, 3, 4, 4, 4 3.625
+MOP4 no The second workshop , developed by and for Napier Polytechnic , was designed to prepare college staff for a validation event. 19 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.93333333333
+MOP4 no Questions may be asked by the Speaker (see below) or player who has just thrown (or would have just thrown ) 18 3, 3, 4, 4, 4, 3, 4, 4, 4, 3, 3, 4, 3, 3, 3, 3, 3, 3 3.38888888889
+MOP4 no And they said : Who shall we do ? x . 8 2, 1, 2, 1, 3, 1, 1, 3, 3, 3, 3, 1, 1, 2, 3, 2 2.0
+MOP4 no The other limiting factor was less immediate , but the greater the potential effect. 13 3, 2, 2, 2, 1, 3, 4, 3, 3, 3, 4, 3, 2, 3, 2, 4, 2, 3 2.72222222222
+MOP4 no It seems to me that she makes all the rules and I just waited to carry them out and still be responsible . 22 4, 2, 1, 3, 4, 1, 4, 4, 4, 4, 2, 3, 3, 3, 4, 4, 2 3.05882352941
+MOP4 no When the nest is finished, put the male in search of a woman. 13 4, 4, 2, 3, 1, 4, 4, 2, 2, 1, 2, 3, 4 2.76923076923
+MOP4 no of them showed that they had been raped in marriage. 10 3, 1, 1, 1, 1, 3, 1, 1, 2, 1, 2, 1, 3, 1, 3 1.66666666667
+MOP4 no The government plans to reverse the process of reforestation and investments in projects with sustainable development . 16 4, 4, 4, 3, 3, 2, 4, 4, 3, 4, 4, 4, 3, 3, 3, 4, 4 3.52941176471
+MOP4 no He deign not to compare the British and the French railways . 11 4, 3, 3, 3, 4, 4, 4, 3, 4, 3, 2, 3, 3, 3, 4, 2 3.25
+MOP4 no Adding child on her back , turn upside down and remove any debris in the mouth with your finger. 18 1, 1, 1, 2, 3, 2, 1, 2, 1, 3, 1, 3, 1, 2, 1, 1 1.625
+MOP4 no Strache may be 37, but who cares really? 8 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3 3.875
+MOP4 no In return, cut the Church for a somewhat uncertain numbers. 10 2, 2, 1, 1, 2, 1, 2, 1, 3, 1, 1, 1, 2, 1, 2, 1 1.5
+MOP4 no But it is almost certain that the offer will be rejected. 11 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4 3.88235294118
+MOP4 no Mr Stolpe said the East Germans had recently discovered his power , and Mr Krenz had not succeeded in restoring management's credibility. 21 4, 2, 3, 3, 3, 3, 3, 2, 3, 2, 1, 2, 4, 2, 4, 2, 2 2.64705882353
+MOP4 no Smiling, Harry put the letter back in its envelope . 9 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 no Leicestershire is the only county to account for their distributions TCCB in cash as opposed to when they are earned . 20 3, 2, 3, 4, 4, 3, 3, 3, 4, 2, 2, 3, 4, 4, 3, 3, 3, 2 3.05555555556
+MOP4 no It will look good on the beach, an evening peak under a pretty blouse or under a jacket for work. 20 4, 1, 3, 1, 3, 4, 3, 2, 2, 3, 3, 1, 2, 3, 2, 2 2.4375
+MOP4 no They also read representative works of traditional and modern Chinese history , literature , philosophy and religion. 15 4, 4, 4, 4, 4, 4, 3, 4, 3, 3, 4, 4, 4, 4 3.78571428571
+MOP4 no If you prefer an elegant brass finish , the Brass dream fire by Valor a good choice, and costs about £ 399 . 20 3, 4, 1, 3, 3, 4, 1, 4, 3, 4, 3, 3, 3, 2, 2, 3, 3 2.88235294118
+MOP4 no ' If you did, then it is just about the greatest miracle someone has ever done since the time of Jesus . ' 20 4, 4, 4, 4, 4, 3, 4, 3, 3, 4, 3, 4, 4, 4 3.71428571429
+MOP4 no She kicked something in the dark , and stopped briefly to pick it up . 13 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4 3.78571428571
+MOP4 no ' I'm just back from India , he announced importantly . 8 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 2 3.70588235294
+MOP4 no It's the kind of place where you can find another subject of interest each time you return . 17 4, 4, 4, 4, 3, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4 3.82352941176
+MOP4 no McLaren keeps his own counsel , is as reluctant as Ferguson is gregarious . 12 1, 1, 3, 1, 2, 3, 3, 2, 4, 2, 1, 3, 1, 3 2.14285714286
+MOP4 no She had made a final attempt Archdeacon before departure . 9 2, 2, 2, 2, 2, 1, 2, 2, 3, 3, 2, 2, 4, 2, 2, 2 2.1875
+MOP4 no Air show: The famous Red Arrows are to provide a grand finish to Southport Air Show. 16 4, 3, 4, 4, 3, 4, 4, 2, 4, 4, 4, 3, 4, 2 3.5
+MOP4 no Add the orange zest and juice , eggs , sugar , cornflour and ginger. 11 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 3, 4 3.75
+MOP4 no A path led up from where they stood , its flag stone worn and broken, progress hidden here and there with moss and weeds . 23 3, 3, 2, 4, 4, 4, 2, 4, 3, 4, 3, 3, 3, 4 3.28571428571
+MOP4 no ' I have to peel potatoes for Matey , and you need to take evening surgery and be ready for your guests. ' 20 3, 2, 1, 4, 3, 3, 3, 2, 2, 3, 3, 4, 1, 4, 1 2.6
+MOP4 no R4 this morning SAYS DON HOWE is another likely candidate to take U.S. INTO THE NEW YEAR . 17 3, 4, 2, 3, 1, 2, 3, 1, 2, 3, 1, 3, 3, 3 2.42857142857
+MOP4 no It is one of the ways in which the Spirit awakens prayer in the people of the Messiah. 18 3, 3, 4, 3, 4, 4, 4, 4, 3, 3, 3, 4, 4, 2, 4, 3, 4, 4 3.5
+MOP4 no Such conditions should be the same for everyone. 8 3, 2, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 3.6875
+MOP4 no Or if you walked into her kitchen and disturbed . 9 3, 4, 1, 1, 1, 3, 1, 2, 4, 1, 4, 4, 3, 2, 2, 2, 2 2.35294117647
+MOP4 no But after 1976 , the municipalities of East London able to publish the advantages of its industrial areas . 17 2, 2, 1, 3, 1, 2, 3, 2, 2, 4, 3, 3, 2, 2, 3 2.33333333333
+MOP4 no Japanese banks operating in London accounted for 28.5 % of total loans from London in 1991 , U.S. banks 15% and other banks 40.7 % . 22 4, 4, 2, 4, 4, 3, 4, 3, 3, 4, 4, 4, 4, 4, 4 3.66666666667
+MOP4 no I'm dying for a cup of tea, Charlie announced. 9 4, 4, 4, 4, 4, 4, 4, 2, 4, 4, 2, 4, 4 3.69230769231
+MOP4 no Katherine's mother had come home just days before they were ready to leave. 13 4, 4, 4, 4, 4, 2, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 3.82352941176
+MOP4 no And hoping for a Twickenham meeting with either Kidderminster Carolians or Hitchin in the final. 15 4, 2, 2, 2, 4, 2, 4, 3, 2, 3, 2, 1, 4, 2 2.64285714286
+MOP4 no This is an appeal from Swansea City Council against a decision by Judge Michael Evans QC, Given Swansea City Court on 6 February 1991. 24 2, 4, 4, 4, 4, 3, 4, 4, 3, 4, 3, 4, 4, 3, 3, 3, 4 3.52941176471
+MOP4 no She stared into his eyes , and then suppressed hunger there, and her heart seemed to contract when the swell inside her. 21 3, 1, 1, 3, 3, 1, 2, 2, 2, 1, 1, 2, 1, 2, 3 1.86666666667
+MOP4 no A sense of well being , of transformation and enlightenment, penetrates the marrow of his bones . 15 3, 3, 4, 2, 2, 4, 4, 2, 4, 4, 4, 4, 4, 3 3.35714285714
+MOP4 no - A control sample of respondents had all three traits, and a quarter two out of three . 16 3, 1, 3, 4, 3, 3, 4, 4, 3, 2, 3, 4, 4, 4, 3 3.2
+MOP4 no wonder why you - But mibbe I should thank ma 9 1, 1, 1, 1, 1, 3, 1, 2, 1, 1, 1, 1, 1, 1, 1 1.2
+MOP4 no Blossoming out of the speaker boxes located at the curb , thundering from bars and shops , each corner of its own sound system . 22 3, 2, 3, 1, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 1, 1, 2 1.82352941176
+MOP4 no A lovely flower early, strongly scented of honey , and a yellow golden interior, but plain gray purple, with darker stripes on the outside. 23 2, 2, 2, 1, 2, 3, 1, 4, 1, 4, 3, 1, 3, 3, 2, 1 2.1875
+MOP4 no Young people's knowledge about the harmful effects of smoking are substantial , and those who take up smoking do so purely out of ignorance. 23 4, 4, 3, 2, 2, 4, 4, 4, 4, 3, 4, 3, 4, 3, 3, 4, 2 3.35294117647
+MOP4 no Tandem annual revenue grew 24 percent to $ 1.6 billion. 9 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4 3.86666666667
+MOP4 no Gwyneth Dunwoody stated that we were secretly dismantling health and Roy Hattersley muttered about contracting out old people who brightened . 20 3, 2, 3, 2, 4, 2, 4, 2, 2, 1, 2, 2, 3, 2, 1, 2 2.3125
+MOP4 no Can a man who deserted his wife and children for another woman is free without any scars? 17 2, 2, 2, 1, 2, 2, 1, 3, 2, 1, 2, 3, 2, 1, 2, 4, 4 2.11764705882
+MOP4 no If the French should take them and see them directed against such noted men , they can take care of sending them to them. 23 1, 2, 1, 3, 1, 1, 3, 1, 2, 1, 2, 2, 2, 2, 2, 2 1.75
+MOP4 no The Cats Protection League Bazaar , Parliament Room, Royal Baths Assembly Rooms , Crescent Road. 13 3, 1, 1, 3, 3, 1, 3, 1, 1, 3, 2, 3, 1, 3 2.07142857143
+MOP4 no Their findings are disturbing consequences for 600,000 people are believed to have been affected by the release of radiation. 19 4, 3, 4, 3, 3, 1, 3, 4, 3, 2, 4, 2, 2, 2, 4, 4 3.0
+MOP4 no Viol tried to flag down another , but the driver ignored him . 11 4, 3, 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 3, 4, 4, 4, 4 3.76470588235
+MOP4 no Graphic oriented programming tools , application programming interfaces and cross- application macro facilities will also be offered . 16 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 1, 3, 4, 4, 3, 4 3.58823529412
+MOP4 no Thirdly, the uncertainty surrounding the future of the industry now . 10 1, 2, 1, 3, 1, 2, 1, 2, 2, 2, 4, 3, 3, 1, 2 2.0
+MOP4 no The closest cooperation between the grant officers and each unit managers is important in the design of the plan and in planning your holiday . 24 3, 3, 4, 4, 3, 2, 4, 4, 3, 4, 3, 3, 4, 2, 3, 2, 3 3.17647058824
+MOP4 no There is no robust criticism , no convincing evidence , no sign of learning from a decade of failure. 17 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 2 3.6875
+MOP4 no Survival time was defined as the period between surgery and death. 11 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4 3.83333333333
+MOP4 no Mr Tadgell , 32, rented an apartment in Australia with Joanna as she has gone from a cleaner to a waitress at the casino. 23 3, 3, 2, 3, 3, 3, 3, 4, 3, 4, 4, 3, 2, 3, 4 3.13333333333
+MOP4 no The Daurog moved about their business , eyeing Tallis with the same trembling caution as the night before . 17 4, 4, 4, 4, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, 2, 3, 3 3.35294117647
+MOP4 no Mr Jenks marched along the corridor , glaring wrath fully about him , and the children fell back on both sides without a murmur . 22 3, 3, 4, 3, 3, 2, 4, 2, 4, 3, 4, 4, 4, 2, 2, 4, 2 3.11764705882
+MOP4 no Your detective of the detective story , of course , went about seeking information. 12 2, 2, 3, 3, 4, 3, 3, 3, 3, 1, 3, 3, 3, 3, 2 2.73333333333
+MOP4 no In the seventeenth century the new Dutch Republic was the only major power to make extensive use of this method of representation. 22 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 4.0
+MOP4 no As you work on a peer - group policy model of photography and opinion? 13 3, 3, 1, 3, 4, 3, 1, 1, 2, 4, 4, 2, 1, 4 2.57142857143
+MOP4 no It's not like the old days when people lived in villages and knew that great- grandad was a horse thief or whatever. 22 3, 4, 3, 4, 2, 4, 4, 3, 4, 3, 1, 3, 4, 4 3.28571428571
+MOP4 no Directives had no application to the parliamentary proceedings or election law and reported speech. 14 4, 4, 2, 2, 3, 2, 3, 4, 3, 3, 3, 1, 2, 2, 3, 2, 4 2.76470588235
+MOP4 no Crystal thought Berg was a newspaper reporter and she assured Rain: ""I did not ruin your story by telling him MI which killed MacQuillan . ' 23 2, 2, 2, 1, 4, 4, 3, 3, 4, 2, 2, 3, 3, 3, 2 2.66666666667
+MOP4 no Another street also runs roughly north -south , lying between it and Ryknild Street , branch north of Tiddington road 17 2, 2, 4, 2, 2, 1, 4, 3, 2, 3, 2, 4, 2, 2, 3 2.53333333333
+MOP4 no ' If you want to use the bathroom often . 8 2, 4, 2, 2, 4, 3, 2, 4, 3, 3, 3, 2, 3, 3, 3, 3 2.875
+MOP4 no When the Indians went hunting , either for animals or rival Indians , their firepower fatal. 14 2, 1, 2, 4, 3, 3, 2, 3, 3, 2, 3, 1, 2, 2, 3 2.4
+MOP4 no Facts speak for themselves , but only if leaders are willing to listen , prepared to be convinced. 16 3, 4, 4, 3, 4, 3, 4, 4, 3, 3, 2, 3, 2, 4, 2, 3 3.1875
+MOP4 no In the preceding decade, London and other major metropolitan cities recorded massive population loss ; between major cities either lost people or experienced only slow growth . 25 2, 3, 3, 1, 4, 3, 4, 2, 2, 3, 3, 2, 2, 1, 3 2.53333333333
+MOP4 no ' After the demise of our great team in '86 , we were building sand castles for a while - they fell together all the time . 22 3, 4, 2, 3, 3, 2, 3, 3, 2, 3, 3, 2, 3, 2, 1 2.6
+MOP4 no Amiss were struck by the courtesy and strangely uplifted to find that not everyone in this establishment was that Colonel Fagg . 21 2, 4, 2, 3, 2, 1, 1, 2, 3, 1, 3, 1, 3, 3, 1 2.13333333333
+MOP4 no One in six trees in Switzerland is showing signs of ill health - twice as high as eight years ago . 19 4, 3, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4 3.76923076923
+MOP4 no LEFT : Painter and decorator Kevin Barton locked into this early 2 pounds 14oz plaice during a session at Lepestone Point in Hampshire . 22 1, 4, 2, 3, 3, 1, 3, 3, 1, 2, 3, 2, 2, 3 2.35714285714
+MOP4 no It has been estimated that 65 percent of the deals are spot and the rest is up appointments. 18 3, 2, 2, 2, 3, 1, 2, 4, 4, 2, 2, 3, 2, 3, 2, 2 2.4375
+MOP4 no This was necessary in order to qualify for a subsequent call to the Bar . 14 4, 3, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 3, 4 3.73333333333
+MOP4 no ' Here he comes , watch out for this guy . ' 8 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 3 3.82352941176
+MOP4 no I hope you're not gon na have a place . 9 3, 2, 3, 3, 2, 3, 2, 3, 3, 2, 4, 2, 2, 3, 3, 3, 3, 2 2.66666666667
+MOP4 no to give children the skills necessary to perform simple math functions (related to the four rules) without problems 17 4, 1, 3, 3, 4, 3, 4, 1, 3, 3, 3, 3, 4, 3, 3, 3, 2, 3 2.94444444444
+MOP4 no The distinction between equity and equality in the distribution and use of social services is crucial to the debate on health inequalities. 22 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4 3.78571428571
+MOP4 no After I had my tea I would go to bed . 10 4, 2, 2, 4, 4, 4, 3, 4, 3, 3, 4, 2, 3, 3, 4 3.26666666667
+MOP4 no The extensive tour included building purchase, consumption , laboratory, steeping , germination and malt kilns and dispatch. 15 3, 3, 4, 4, 4, 3, 3, 3, 1, 3, 4, 2, 1, 3 2.92857142857
+MOP4 no After all , he had managed to defeat the system and was in sole command of a small military unit . 19 4, 4, 4, 4, 3, 4, 3, 4, 4, 3, 4, 4, 4, 4 3.78571428571
+MOP4 no Then she jumped up and ran along the trail. 9 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4, 4 3.86666666667
+MOP4 no I think G.P. hold me and caress me. 8 4, 1, 3, 1, 3, 1, 2, 3, 4, 1, 2, 2, 2, 1, 2, 1 2.0625
+MOP4 no I did not want to be a superstar , I would only be able to play well . 16 3, 4, 1, 1, 2, 2, 2, 3, 1, 2, 1, 4, 1, 2, 1 2.0
+MOP4 no This is not to deny , of course , is that crime and violence in today's society is an important social reality. 20 3, 3, 3, 3, 4, 4, 3, 4, 2, 3, 4, 4, 3 3.30769230769
+MOP4 no They strung a net between two trees and flipped around in a spirited game of four - a-side volleyball. 18 2, 4, 3, 4, 4, 3, 4, 3, 4, 4, 4, 3, 4, 3, 3, 4, 4 3.52941176471
+MOP4 no The administrative structure of the partnership, with its heavy emphasis on coordinating different agencies , would in any case tend to inhibit the unorthodox . 23 4, 1, 4, 4, 4, 4, 4, 4, 4, 3, 1, 4, 2, 4, 4, 2, 3, 4, 4, 4 3.4
+MOP4 no We walked solemnly around Gloucester in and out of the cathedral precincts while he told me about his childhood. 19 3, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 3, 4, 4, 4, 4 3.8125
+MOP4 no By comparison, companies in the 20-50 bracket workplaces suffer from neglect , they say. 13 4, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 2, 3, 3, 4 3.4
+MOP4 no Within a few days of writing my planning notes a reasonable ( by UK standards) day dawned . 16 2, 3, 3, 3, 2, 1, 3, 4, 3, 3, 2, 3, 2, 4, 4 2.8
+MOP4 no Whether this autoantibody has direct pathogenic significance, as in Wegener's granulomatosis , remains to be determined . 15 3, 4, 4, 3, 3, 4, 4, 3, 2, 3, 4, 4, 4, 4, 4, 4 3.5625
+MOP4 no The event received widespread television and press coverage , and requested a civil rights march on 24 August from Coalisland to Dungannon . 21 1, 2, 4, 2, 3, 2, 3, 3, 4, 4, 3, 4, 4, 4, 3, 4, 4 3.17647058824
+MOP4 no Robin Child refuses absolutely to grade , and when O - levels paved the way for GCSE with all its internal courses and labeling, he rejected it . 25 2, 1, 2, 4, 1, 2, 2, 3, 2, 3, 3, 4, 3, 2, 2, 4 2.5
+MOP4 no Synergie Ultra - Gentle Eye Make -up Remover with extracts of rose , a light oil-free moisturizer with soothing properties , £ 2.99 / 200ml . 19 3, 2, 3, 4, 1, 4, 3, 1, 3, 3, 3, 4, 1, 3 2.71428571429
+MOP4 no Stewart and Tait was more aware of the degradation of energy, moral as well as physical and thus of impermanence of the world. 23 1, 1, 1, 1, 3, 1, 1, 3, 3, 1, 3, 2, 3, 3, 2, 3, 2, 2 2.0
+MOP4 no This rule is subject to a number of exceptions ( see Chapter 5). 12 4, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3 3.8125
+MOP4 no We are grateful to Ken Byron to set up a much needed journal in Drama and Dance Education. 18 1, 3, 4, 4, 3, 4, 4, 2, 3, 4, 2, 2 3.0
+MOP4 no Cycling was also definitely related to gastroesophageal reflux . 8 4, 4, 4, 4, 4, 4, 3, 3, 4, 4, 3, 4, 4, 4, 3 3.73333333333
+MOP4 no True to this tone , the tape Toms scientific analysis as opposed to bedtime bogeyman stories. 15 1, 2, 1, 1, 2, 2, 1, 2, 3, 1, 2, 1, 3, 1, 1, 1, 2 1.58823529412
+MOP4 no As was suggested in argument , it would actually be to swallow the elephant and the load on the mosquitoes. 19 1, 1, 3, 2, 1, 1, 1, 1, 3, 2, 1, 2, 1, 2, 1, 1 1.5
+MOP4 no The relevant moment Dr Banda waves his fly whisk . 9 2, 1, 4, 3, 1, 1, 3, 1, 1, 4, 2, 1, 3, 3, 2 2.13333333333
+MOP4 no Both were former members of the left-wing extremist Red Army Faction ( RAF ) . 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4 3.93333333333
+MOP4 no Yet ' - her tone changed again - ""I am grateful to you for your help. ' 12 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 4, 3, 3 3.75
+MOP4 no Stokesley , yes , possessing either trade or manufacturers , has no appearance of bustle and business, and is a place that is well adapted to retirement . ' 24 4, 1, 4, 3, 3, 1, 4, 2, 3, 2, 2, 3, 3, 2, 3, 3, 2, 2 2.61111111111
+MOP4 no Although it is less harmful than removing bulbs and plants, can consistently seed snapper still effectively eradicate a species from an area . 22 1, 2, 1, 2, 2, 2, 2, 4, 1, 2, 1, 3, 1, 2, 1 1.8
+MOP4 no Tickets from Sgt Gordon Parkin ( phone 091567-6155 , ext. 6331 . 9 2, 2, 3, 3, 3, 3, 4, 3, 4, 4, 4, 4, 2, 2, 3, 2 3.0
+MOP4 no Religion : Christianity ( Bulgarian Orthodox Church ) , the Islam practiced by large Turkish and less Pomak minorities. 15 2, 3, 3, 3, 3, 1, 2, 4, 3, 3, 1, 2, 2, 2, 4 2.53333333333
+MOP4 no ' There is no Black Dog here ,' said the doctor. 9 4, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 3, 4 3.78571428571
+MOP4 no Learning a manipulative skills, such as writing , takes hours . 9 2, 2, 2, 4, 4, 3, 2, 4, 4, 3, 4, 3, 2, 4, 4, 2 3.0625
+MOP4 no Our common phone in the hallway wall by the front door. 11 4, 1, 3, 4, 3, 3, 4, 1, 1, 2, 3, 3, 2, 3, 2, 1, 3, 2 2.5
+MOP4 no Mr Carpenter said : "" All the victims were elderly and infirm . 10 4, 4, 4, 2, 4, 4, 3, 4, 3, 2, 2, 4, 3, 4, 4, 3, 4 3.41176470588
+MOP4 no They say you're a known homosexual, we mean it, "" added a third . 12 4, 4, 4, 3, 3, 3, 4, 2, 4, 2, 2, 3, 3, 3, 2 3.06666666667
+MOP4 no A balanced intake of calcium today means a healthier you MORNING 11 2, 2, 1, 1, 1, 2, 1, 2, 1, 3, 1, 2, 2, 4, 3, 2, 1 1.82352941176
+MOP4 no When the bishops moved into the house 10 years ago , it had been on the market for 18 months and had become very run down. 25 4, 4, 4, 4, 4, 4, 4, 1, 4, 3, 4, 3, 3, 4, 4, 4, 4 3.64705882353
+MOP4 no I thought I could go to America and help anti - draft students around the army camps , he said. 18 1, 4, 4, 3, 3, 4, 3, 4, 4, 3, 3, 3, 3, 4, 4, 4 3.375
+MOP4 no Other people apart from yourself and the candidate that may be taken into account when fixing a timetable is : 19 1, 3, 3, 2, 2, 3, 3, 4, 3, 4, 3, 2, 1, 2, 1, 1 2.375
+MOP4 no Her mouth had formed the words before she realized . 9 3, 4, 4, 4, 3, 4, 2, 4, 3, 4, 3, 4, 3 3.46153846154
+MOP4 no Water Temperature: The normal temperature range of 72 ° -76 ° F . 9 4, 4, 4, 4, 2, 3, 4, 4, 4, 3, 4, 4, 2, 4, 4, 4, 4 3.64705882353
+MOP4 no The first is a surface wound that starts as a red mark . 12 4, 3, 3, 3, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4 3.6875
+MOP4 no We are really struggling at this point in time , thinking , "" What are we , what are we about? ' 17 4, 2, 3, 4, 4, 4, 2, 4, 4, 3, 3, 4, 3, 2, 2, 4, 4, 3 3.27777777778
+MOP4 no I do not think Chris and the band know each other well enough at the time. 16 3, 3, 4, 4, 2, 4, 3, 4, 3, 3, 2, 3, 3, 3, 3, 3, 4, 4 3.22222222222
+MOP4 no ' Donna , I said that we should call the police . 9 4, 4, 3, 4, 4, 3, 3, 4, 4, 4, 4, 2, 4, 4, 4, 4 3.6875
+MOP4 no It loves damp , humid, airless places with a slightly more alkaline pH than normally found in the vagina (usually slightly acid ) . 20 3, 2, 4, 4, 1, 4, 3, 1, 4, 4, 3, 2, 4, 3, 4, 4, 3 3.11764705882
+MOP4 no Bong Water is Ann Magnuson carrying glowing incense stick it itself, Kim Gordon is a carcinogen Zippo on full flame . 20 1, 1, 1, 1, 2, 1, 2, 1, 3, 1, 1, 1, 1, 1, 2, 2 1.375
+MOP4 no Now that she was looking closely, she realized that most of the rooms in the house had two doors . 19 4, 4, 4, 4, 4, 4, 4, 2, 3, 4, 4, 4, 4, 4 3.78571428571
+MOP4 no Both drank , aware that it had been a long afternoon , and Shelley least was thirsty . 15 3, 3, 1, 2, 4, 2, 2, 3, 3, 1, 2, 2, 3, 3, 2 2.4
+MOP4 no He had to go through Mordecai because he is a Copt . 11 4, 3, 3, 2, 4, 3, 2, 4, 3, 3, 1, 3, 4, 3, 2, 3, 2, 4 2.94444444444
+MOP4 no But now they claim the cost of free accounts is too high . 12 4, 3, 3, 3, 2, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 3 3.5
+MOP4 no What if Bruce and Pallister is injured , they have a ( decent) cover. 12 3, 1, 2, 2, 1, 2, 1, 2, 2, 2, 1, 1, 2, 3, 4, 2, 1, 3, 1 1.89473684211
+MOP4 no But with his mother arrested was now up to him to take charge of rebellion in Poitou . 17 1, 2, 2, 3, 3, 2, 3, 2, 3, 1, 1, 3, 3, 3 2.28571428571
+MOP4 no ' Can it be said Barry by any chance ? ' 8 3, 3, 4, 1, 2, 3, 2, 2, 4, 2, 1, 1, 2, 1, 1 2.13333333333
+MOP4 no He takes it like a duck takes to water. 9 4, 3, 3, 4, 3, 3, 4, 3, 4, 4, 3, 4 3.5
+MOP4 no Average household size has decreased from 3.09 in 1961 to 2.55 in 1987 and will continue to decline ( Table 2.6) . 20 2, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 3, 4, 4 3.6875
+MOP4 no The form in which the dialogue is represented is the one that best suits your mood and subject of dialogue. 20 2, 4, 1, 4, 4, 3, 4, 4, 3, 2, 4, 4, 4, 3, 3 3.26666666667
+MOP4 no She had come to England from Berlin in 1930 and had begun his studies at the Central School of Arts and Crafts . 22 1, 2, 2, 3, 2, 3, 2, 4, 2, 2, 2, 2, 3, 3, 4, 1 2.375
+MOP4 no Being one of the Prince's Chosen Women have their drawbacks. 10 4, 4, 2, 4, 2, 3, 4, 4, 4, 3, 4, 3, 3, 2, 3 3.26666666667
+MOP4 no At least Ferdinando now know much English, what she had said to Pen to make him feel important . 18 2, 1, 1, 1, 3, 2, 4, 3, 3, 1, 2, 3, 1, 1, 2, 4 2.125
+MOP4 no As if he remembered his manners , he saw an invitation Nicandra . 11 3, 3, 1, 2, 1, 1, 4, 1, 2, 1, 1, 3, 3 2.0
+MOP4 no ' Act Two - Beginners can , said a shaking voice from outside the door. 12 3, 2, 1, 2, 1, 3, 1, 3, 3, 1, 3, 3, 1, 2, 3, 4 2.25
+MOP4 no Coming and going - there had been too much of it. 10 3, 4, 4, 4, 3, 4, 3, 4, 4, 4, 3, 2, 3, 3, 3, 4 3.4375
+MOP4 no Sow seed outdoors in spring, or divide plants in spring and leave 60cm ( 2 feet) between plants. 17 3, 4, 4, 3, 4, 3, 4, 4, 3, 4, 3, 4, 3, 3, 3, 2 3.375
+MOP4 no In 1925, Whittaker had become an expert in their field and Chapman were immediately impressed by his knowledge of football injuries. 21 2, 2, 2, 2, 3, 3, 3, 4, 3, 4, 2, 3, 3, 4, 4, 3 2.9375
+MOP4 no This has now been cut from 3% to 6.7% , but according to Chairman Mike Tilbrook , 'continues to show a useful paper profit ' remaining inventory . 23 1, 3, 3, 3, 3, 3, 1, 1, 3, 2, 2, 2, 3 2.30769230769
+MOP100 en My first real friend was probably a boy called Adam . 10 100, 100, 100, 91, 99, 83, 86, 100, 100, 90 94.9
+MOP100 en She was wearing denim overalls and carrying a bucket and brush . 11 84, 100, 100, 100, 100, 100, 100, 97, 98, 100, 85, 100 97.0
+MOP100 en Because simulated annealing is a stochastic algorithm , different runs of probeorder will not necessarily produce the same output probe order . 20 94, 67, 67, 59, 51, 42, 76, 10, 100, 68 63.4
+MOP100 en Heath ( 3.3 ) sums up one influential and long-established tradition in the study of class differences in education . 17 100, 89, 84, 90, 100, 93, 100, 100, 100 95.1111111111
+MOP100 en Made with Pertex fabrics and Quallofil 7 filling , the Kompakt Lite weights only 1.2kg and , in its stuff sack , reduces to 7l . 22 29, 84, 100, 88, 27, 74, 22, 45, 87, 17 57.3
+MOP100 en He's amongst the qualifiers for the Lancome trophy at Paris . 10 96, 92, 96, 90, 94, 96, 100, 100, 99, 100, 95, 95 96.0833333333
+MOP100 en Agnes , now fully dressed , went into the hall . 8 100, 90, 100, 97, 100, 79, 85, 100, 100, 100, 100 95.5454545455
+MOP100 en Nine schools in three Midlands LEAs , will be identified for in-depth study , following a questionnaire survey . 16 100, 80, 85, 61, 100, 74, 100, 84, 9, 94, 95 80.1818181818
+MOP100 en The borrowers , Mr and Mrs Clothier , had a £225,000 advance on their home in Silverdale Avenue , Walton-on-Thames . 16 100, 94, 84, 100, 100, 53, 100, 89, 90, 87, 79, 100 89.6666666667
+MOP100 en Fat couples in vacation plaids , bouncing about like toddlers in the low g and cooing over the moondirt souvenir jewellery . 20 1, 1, 31, 100, 32, 64, 72, 64, 62, 89, 79 54.0909090909
+MOP100 en These problems , coupled with the Conservative government's free market philosophy , led to a move back towards more market related official rates in the early 1980s . 25 92, 82, 100, 89, 78, 100, 100, 81, 90, 100, 100 92.0
+MOP100 en Along their flanks are arrays of proprioceptors which in part act like external arteries . 14 52, 22, 94, 75, 76, 100, 84, 22, 95, 100, 64 71.2727272727
+MOP100 en North Harbour coach Brad Meurant said : ‘ Everybody helped their mates . 10 95, 90, 100, 99, 96, 100, 89, 100, 100, 100 96.9
+MOP100 en She stood outside the lifts in the hospital's main entrance with other visitors . 13 100, 99, 96, 100, 94, 65, 51, 100, 100, 87, 100 90.1818181818
+MOP100 en A similar picture emerges in relation to the distribution of gross earnings among female manual workers . 16 100, 84, 100, 100, 100, 100, 86, 98, 100, 82 95.0
+MOP100 en The second approach can be a very productive strategy in a foreign language too . 14 100, 94, 97, 100, 91, 95, 100, 90, 93, 100, 100 96.3636363636
+MOP100 en ‘ Yes , ’ she said briefly , and for a few moments they studied each other . 13 88, 100, 93, 96, 100, 100, 92, 100, 68, 89, 100, 100 93.8333333333
+MOP100 en As Montagu ( 1976 ) has stated again and again , the social activity of war need have no relationship with the inner state of aggression . 23 100, 99, 94, 90, 89, 85, 91, 100, 82, 100, 13 85.7272727273
+MOP100 en Yet the trophy sits in Jim's office at Peel Park and will stay there . 14 89, 100, 99, 100, 87, 74, 64, 100, 90 89.2222222222
+MOP100 en He looked up at Athelstan , his face beaming with pride . 10 100, 83, 100, 100, 100, 89, 100, 84, 92, 100, 95, 100, 95 95.2307692308
+MOP100 en Only in John's Gospel does he make one curious and profoundly interesting statement . 13 84, 87, 84, 100, 94, 83, 85, 93, 100, 87, 78 88.6363636364
+MOP100 en Hopeful for what he will not miss when it fails 10 87, 82, 18, 40, 90, 76, 11, 43, 82, 94, 16, 89 60.6666666667
+MOP100 en Does he further agree that there is a need to reopen neighbourhood police stations and to put more emphasis on community policing ? 22 85, 90, 94, 94, 100, 100, 93, 100, 84, 86, 88, 84, 100, 93 92.2142857143
+MOP100 en Questionnaires sent by post are not returned and interviews are refused . 11 93, 91, 94, 98, 100, 95, 89, 98, 94, 92, 94 94.3636363636
+MOP100 en Though his features looked as if they'd been carved from stone , in the depths of his gaze something stirred . 19 100, 79, 88, 3, 98, 91, 100, 100, 97, 100, 100, 100 88.0
+MOP100 en These percentages were not uniform across the country : local specialities dictated what was available . 14 100, 100, 84, 99, 100, 87, 89, 86, 97, 100 94.2
+MOP100 en The pictorial composition of your shots is one of those areas where rules have grown up which , though seemingly arbitrary , actually work well in practice . 25 100, 75, 86, 83, 72, 77, 83, 100, 100 86.2222222222
+MOP100 en It was a far cry from the golden court of the City of the Horizon . ’ 15 94, 100, 94, 100, 100, 83, 88, 4, 88, 100 85.1
+MOP100 en All she had to do was get a good night's sleep . 11 100, 90, 100, 100, 100, 96, 84, 84, 100, 87 94.1
+MOP100 en A durable well constructed store is therefore indicated . 8 85, 17, 91, 12, 86, 82, 68, 98, 98, 100, 65, 100, 98 76.9230769231
+MOP100 en Fill gaps , identify queries and note points for immediate follow up . 11 100, 94, 97, 91, 3, 90, 90, 100, 94, 83, 100, 100, 100 87.8461538462
+MOP100 en One of Jay's drawled phrases , as she pubbed and clubbed and waded through hung-over mornings of coffee and endless cigarettes , was ‘ I'm a night-owl , honey . ’ 25 96, 9, 81, 97, 100, 90, 95, 94, 100, 21, 91, 97, 75 80.4615384615
+MOP100 en You can format your spreadsheet manually , or design your own speedformat routine . 12 100, 81, 93, 100, 100, 85, 100, 100, 100, 93, 100, 100 96.0
+MOP100 en I then turned the picture round and completed the other two sides . 12 95, 100, 88, 95, 88, 100, 100, 87, 90 93.6666666667
+MOP100 en The rain which would turn their campground to mud , and fill the cisterns of Famagusta . 15 85, 84, 61, 94, 25, 69, 67, 96, 79, 100 76.0
+MOP100 en Questions can be asked by The Speaker ( see below ) or the player who has just thrown ( or would have just thrown ) 21 91, 63, 95, 77, 90, 2, 86, 90, 100, 80 77.4
+MOP100 en However it is almost certain that the offer will be rejected . 11 94, 100, 94, 100, 100, 100, 89, 84, 100, 100 96.1
+MOP100 en Smiling , Harry put the letter back in its envelope . 9 99, 100, 99, 100, 95, 86, 95, 100, 100, 100 97.4
+MOP100 en Leicestershire is the only county to account for its distributions from the TCCB on a cash as opposed to an accruals basis . 22 100, 97, 98, 79, 82, 79, 86, 84, 83, 82, 100 88.1818181818
+MOP100 en If you'd prefer a sleek , brass finish , the Brass Dream fire by Valor is a good choice and costs about £399 . 20 91, 85, 97, 98, 100, 100, 70, 100, 83, 89 91.3
+MOP100 en Air show : The famous Red Arrows are to provide a grand finish to the Southport Air Show . 17 100, 99, 97, 95, 75, 84, 100, 89, 84, 84, 100 91.5454545455
+MOP100 en Or if you went into her kitchen and interfered . 9 11, 81, 51, 9, 69, 73, 88, 52, 66, 1, 78 52.6363636364
+MOP100 en Tandem's annual revenues grew by 24 per cent to $1.6 billion . 10 100, 100, 100, 100, 95, 86, 79, 58, 84, 100, 100, 79 90.0833333333
+MOP100 en I congratulate you on the unambiguity of your situation . 9 100, 93, 100, 100, 100, 91, 91, 100, 100 97.2222222222
+MOP100 en I think about G.P. holding me and caressing me . 9 100, 84, 100, 99, 100, 99, 66, 91, 100, 96, 100 94.0909090909
+MOP100 en This is not to deny , of course , that crime and violence in contemporary society is an important social reality . 19 100, 92, 84, 86, 99, 100, 95, 100, 100, 91, 100 95.1818181818
+MOP100 en But anyway ’ — her tone changed again — ‘ I'm grateful to you for your help . ’ 13 100, 97, 100, 100, 100, 86, 93, 89, 91, 91, 100 95.1818181818
+MOP100 en ‘ I thought I might go to America and help the anti-draft students around the Army camps , ’ he said . 18 67, 85, 94, 100, 91, 95, 100, 95, 100, 100 92.7
+MOP100 en ‘ Act Two — Beginners please , ’ said a tremulous voice from outside the door . 12 100, 78, 76, 79, 95, 51, 90, 100 83.625
+MOP100 en Sow seed outdoors In spring , or divide the plants In spring , and allow 60cm ( 2ft ) between plants . 17 81, 61, 43, 90, 73, 100, 1, 85 66.75
+MOP100 zh Greg Hawking is one of the rare people who drift into teaching and found themselves , they themselves are surprised , absolutely cut out the work . 24 100, 4, 19, 13, 91, 1, 100, 84, 13, 69, 1 45.0
+MOP100 zh There will be 5,733 empty houses , of which nearly 2,000 have been empty for over a year . 17 86, 100, 98, 97, 100, 100, 100, 92, 100, 100, 90, 86 95.75
+MOP100 zh They called us early into the stadium , it is hot , very hot . 12 100, 85, 58, 76, 30, 95, 73, 37, 100, 15, 80 68.0909090909
+MOP100 zh Supplement per person per night £ 135 for the first night , £ 105 extra a night ( minimum 2 persons ) . 17 61, 82, 37, 92, 94, 71, 90, 64, 100 76.7777777778
+MOP100 zh This shows that the company did not learn anything from this lesson. 12 87, 95, 100, 98, 100, 100, 32, 100, 100, 99 91.1
+MOP100 zh Debenhams left of lambswool jumper , £ 24.99 ; striped cotton shirt , £ 15.99 ; tie, £ 7.99 ; grinding washing line, £ 29.99 ; leisure Gibson shoes, £ 34.99 . 20 1, 78, 70, 1, 11, 42, 84, 14, 1, 7 30.9
+MOP100 zh Plan targets , make your PC a specified file on the hard disk is almost instantaneous keyword search . 17 5, 31, 19, 8, 17, 78, 1, 30, 16, 25, 1, 17 20.6666666667
+MOP100 zh Poison is dangerous, but few people who bathe in the sea urchin know how painful swelling when there can be unexpected trampled . 22 6, 13, 1, 4, 43, 33, 64, 89, 14, 15, 1 25.7272727273
+MOP100 zh Agreed in principle to a cessation of hostilities . 8 85, 98, 21, 85, 46, 85, 31, 100, 8, 100, 84, 77 68.3333333333
+MOP100 zh Procedures for the 16-week training allowance and travel expenses . 9 100, 8, 95, 100, 88, 100, 100, 1, 100, 12, 83, 20 67.25
+MOP100 zh Single £ 4.00 nights , continued to live night £ 16.00 8 56, 1, 38, 22, 1, 22, 47, 10, 9, 1 20.7
+MOP100 zh Although the net assets grew 35% to £ 458 million Stanhope , the city unmoved department . 14 5, 56, 9, 33, 17, 29, 64, 13, 16, 26, 6 24.9090909091
+MOP100 zh In other words, the generalist administrator called economists , statisticians, and other information, but who it is 'top' generalists . 17 12, 3, 9, 7, 34, 69, 11, 47, 27, 38, 8 24.0909090909
+MOP100 zh Martha has leaped to the top of this slot , Shell second and Glaxo third . 14 100, 91, 100, 97, 100, 99, 6, 64, 94, 84 83.5
+MOP100 zh She stood at the door of the elevator with other visitors at the hospital 's main entrance. 16 100, 38, 98, 100, 98, 100, 88, 100, 100, 100 92.2
+MOP100 zh Similar picture emerges in the female laborers between the total income distribution. 12 78, 84, 84, 19, 22, 67, 69, 69, 1, 87 58.0
+MOP100 zh EC does not care about their national health or education policies. 11 100, 93, 94, 74, 42, 100, 89, 82, 100, 100 87.4
+MOP100 zh This time there was a competitor facing children invisible window , so that children can see the chocolate each test . 19 1, 37, 1, 9, 1, 31, 23, 15, 51, 22, 8, 8, 2 16.0769230769
+MOP100 zh The second method , you can in a foreign language too is a very effective strategy. 15 65, 20, 42, 18, 15, 14, 1, 1, 91, 8, 6, 1 23.5
+MOP100 zh The level of HIV infection worldwide is expected to rise to 2000 15-20,000,000 , including at least three-quarters of the developing world . 21 59, 83, 100, 11, 26, 100, 100, 91, 85, 100, 100 77.7272727273
+MOP100 zh Laughter in his eyes sparkling as he met her belligerent stare . 11 92, 92, 20, 98, 68, 79, 68, 84, 68, 26, 29 65.8181818182
+MOP100 zh Repeat what they hear , women's rights claims something called the "" Salvador democracy"" is in danger . 15 87, 77, 95, 21, 84, 56, 62, 28, 88, 41, 23 60.1818181818
+MOP100 zh But another part of the opposition simple idea that she is someone else's wife cried out . 16 11, 10, 4, 12, 1, 13, 74, 12, 9 16.2222222222
+MOP100 zh August 1975 and December 1978 among five COS-B satellite observations 2CG342 - 02 and prepared for the tenth strongest γ -ray source . 19 16, 22, 37, 58, 37, 18, 81, 27, 11 34.1111111111
+MOP100 zh To follow Jesus as a disciple means that we also face opposition like him life. 15 1, 57, 35, 37, 1, 1, 91, 100, 18, 74, 85, 38, 100 49.0769230769
+MOP100 zh Politics in this sense , if I put you in this glass of water in an interview with reporters , it would be a political act. 24 16, 35, 1, 74, 1, 78, 33, 12, 1, 5, 18, 32, 18 24.9230769231
+MOP100 zh He turned, cold , stiff, anxious to see a young man with blond hair , short hair, worried eyes and face pock-marked . 20 67, 88, 38, 57, 61, 72, 77, 14, 100, 79 65.3
+MOP100 zh You can see the coexistence of private affluence and corporate poverty ? 11 100, 78, 56, 62, 70, 19, 80, 85, 7, 77 63.4
+MOP100 zh Villagers fight to stop the sale of the ancient common 10 73, 10, 82, 84, 96, 79, 84, 35, 95, 100, 100, 100, 100 79.8461538462
+MOP100 zh AID trip , giving her pupils in a third world poverty and fear 12 1, 11, 18, 6, 18, 32, 87, 27, 17, 4 22.1
+MOP100 zh Question can be asked Speaker ( see below ) or just throw the players who ( or just throw ) 16 7, 5, 4, 35, 19, 60, 54, 17, 8, 1 21.0
+MOP100 zh McLaren maintain their lawyers, are reticent Ferguson gregarious. 8 1, 64, 9, 32, 23, 1, 12, 84, 62, 87, 19, 1 32.9166666667
+MOP100 zh I have to peel potatoes MATEY, you have to take the evening surgery, and prepare for your guests . 18 73, 4, 38, 100, 92, 23, 13, 87, 62, 77, 90, 1 55.0
+MOP100 zh Japanese banks operating in London accounted for 28.5% of total loans , from London , in 1991 , 15% of U.S. banks , other banks 40.7%. 22 100, 1, 30, 67, 27, 99, 79, 54, 16, 95, 73 58.2727272727
+MOP100 zh Young people's knowledge of the harmful effects of smoking are quite large, those who take to quit smoking do so purely out of ignorance . 24 73, 34, 71, 9, 62, 48, 100, 89, 94, 37, 87, 69 64.4166666667
+MOP100 zh So, you work in a group photograph of the political pattern and meaning ? 13 92, 31, 1, 14, 73, 9, 1, 84, 88, 4, 1, 1 33.25
+MOP100 zh This is done to improve people's knowledge , beverages and weekly limits, and the link between alcohol consumption and health and fitness strength. 22 71, 25, 25, 47, 22, 44, 89, 2, 39, 69, 90 47.5454545455
+MOP100 zh In the previous decade, the city of London and other major cities recorded a huge population losses ; cities lost or experienced only slow growth . 24 96, 84, 21, 43, 41, 100, 83, 40, 6, 18, 88 56.3636363636
+MOP100 zh It is estimated that 65% of the transaction is the spot , the other forward transactions . 15 72, 10, 77, 100, 1, 23, 25, 74, 44, 79, 78, 1, 22 46.6153846154
+MOP100 zh Integrated tourism projects , including purchases of barley , into the laboratory , soaking, germination and malt kiln schedule . 16 18, 77, 35, 6, 12, 21, 1, 30, 71, 25, 21, 1, 7 25.0
+MOP100 zh The largest ship registration authorities , Lloyd , ship fire, killing 159 people died two years ago in the United States being sued. 21 84, 19, 59, 4, 36, 38, 1, 90, 87, 1, 15, 1 36.25
+MOP100 zh They strung between two palm trees and a net cut short a vibrant one four side volleyball. 17 9, 27, 15, 1, 81, 1, 1, 58, 1, 1 19.5
+MOP100 zh Within a few days I plan to write , noting that a reasonable ( British Standard ) day dawned . 16 97, 78, 51, 37, 100, 67, 82, 69, 91, 37, 90 72.6363636364
+MOP100 zh Ban Dayaqibo Dr. fly whisk him at the relevant time . 10 1, 9, 18, 1, 1, 35, 78, 4, 80, 11 23.8
+MOP100 zh In Stokesley , indeed, neither has a trade , nor the manufacturer , there is no noise or trade dress , and well adapted to retirement is a place . 25 94, 7, 4, 23, 24, 17, 36, 13, 10 25.3333333333
+MOP100 zh The first one is face sore , began as a red tag. 11 17, 95, 21, 1, 8, 18, 1, 34, 90, 92, 2 34.4545454545
+MOP100 zh We really struggling at this point in time , thinking, "" What are we doing , what we are ? 16 5, 74, 99, 18, 67, 75, 4, 66, 1, 12 42.1
+MOP100 zh He needed it as a duck water required . 8 2, 1, 1, 1, 64, 37, 52, 15, 1, 7 18.1
+MOP100 zh As one of the prince's choice of women , has its drawbacks. 11 1, 11, 32, 63, 67, 11, 72, 20, 35, 8 32.0
+MOP100 zh To 1925 , Whitaker has become an expert in his field , that Chapman was immediately impressed by his knowledge of football injuries. 21 84, 22, 73, 94, 41, 11, 83, 71, 25 56.0
+MOP100 ja Real friends My first was a boy called Adam probably . 10 1, 6, 1, 1, 100, 22, 15, 68, 17, 12, 32 25.0
+MOP100 ja She was carrying a brush and bucket wearing denim overalls . 10 93, 91, 88, 100, 90, 41, 79, 70, 86, 59, 100 81.5454545455
+MOP100 ja However , there is a tendency to gloss them when drawing the psychology of mainstream it . 15 9, 81, 3, 17, 1, 44, 24, 1, 32, 2 21.4
+MOP100 ja For Simulated Annealing is a probabilistic algorithm , the execution of different probeorder, will not produce the same output probe order necessarily . 21 94, 84, 24, 6, 8, 11, 100, 90, 95, 27, 2 49.1818181818
+MOP100 ja And , his price - I can his price to enormous use . 10 1, 22, 4, 1, 38, 34, 11, 22, 1 14.8888888889
+MOP100 ja In recent years , the ceiling of Michelangelo's Sistine Chapel in Rome has grown that it has been changed by the Vatican conservation team irreparably concern . 25 19, 75, 34, 1, 22, 39, 90, 57, 1, 16 35.4
+MOP100 ja In exceptional circumstances , the head of your department , does not apply to withdraw clause if there is a reasonable explanation for the failure to notify . 25 100, 9, 70, 29, 100, 100, 95, 95, 90, 14, 20, 27 62.4166666667
+MOP100 ja I often pick up artists from their accommodation , I take them to the place Middlesbrough they are being interviewed by Radio Cleveland . 22 13, 82, 18, 27, 1, 65, 82, 83, 63, 88, 26 49.8181818182
+MOP100 ja Is not taut as if to that of the youth , his muscles are bulging with effort . 16 1, 1, 19, 4, 1, 1, 86, 9, 14, 90, 5, 34 22.0833333333
+MOP100 ja A review copy is solid black , but the basic model , has a oil finish . 14 100, 89, 87, 79, 94, 42, 95, 88, 19 77.0
+MOP100 ja This exercise is essential , can not take place except for the liquid medium . 13 64, 60, 75, 74, 1, 6, 35, 69, 12, 18, 6, 1, 1 32.4615384615
+MOP100 ja ' He is going to buy a new typewriter to her , the old ones that practice , sounds like a trumpet of Candyman is she . 23 6, 8, 2, 1, 11, 91, 81, 9, 1, 1, 1 19.2727272727
+MOP100 ja We have made that will continue to use or Lowfields phone ' new east stand ' as before it ? 17 16, 1, 6, 1, 1, 24, 32, 20, 1, 17 11.9
+MOP100 ja Wearing clothes completely , Agnes entered the hall now . 8 1, 85, 63, 51, 95, 1, 6, 40 42.75
+MOP100 ja In survey after Nine school is identified for in-depth study of an LEA 3 Midland . 15 1, 1, 44, 17, 79, 1, 11, 24, 14, 1 19.3
+MOP100 ja Results - Romance of British wool - in October , is performed in one store the most prestigious of the world's largest and ( 8-18 ) . 21 1, 1, 11, 9, 71, 1, 79, 40, 11, 69, 1 26.7272727273
+MOP100 ja We are committed to equal treatment for men and women in pension firmly . 13 2, 29, 65, 34, 86, 64, 69, 100, 88, 11, 96, 14 54.8333333333
+MOP100 ja However , I think I 've had a good time she . 9 4, 1, 11, 46, 40, 59, 17, 11, 64, 1, 1 23.1818181818
+MOP100 ja We can plan it and I will come back again next weekend . ' 12 51, 89, 100, 96, 100, 100, 100, 100, 90, 100, 90 92.3636363636
+MOP100 ja These aspects of political choice , but is still less important now than in the past . 15 89, 87, 12, 24, 80, 53, 10, 28, 93, 15, 1 44.7272727273
+MOP100 ja These involve the creation and distance learning and open copy , more by electrocopying ' customize , ' a pack of material for students . 20 88, 64, 20, 13, 1, 17, 1, 1, 22, 15, 17, 30, 51, 27 26.2142857143
+MOP100 ja The course offers training in all-round basic communication theory tailored to the context of Africa in particular . 17 100, 80, 91, 100, 100, 83, 95, 100, 100 94.3333333333
+MOP100 ja The German I , and stand back you switch on , as brilliant robot impressed , it worked like a dream to do all the hard work . 24 5, 35, 11, 4, 1, 1, 1, 1, 33, 1, 16, 15, 2, 14 10.0
+MOP100 ja It had taken less than half a minute of all escape Woil and over. 14 1, 89, 22, 6, 10, 1, 70, 1, 57, 51, 10, 35 29.4166666667
+MOP100 ja The pumped up with ' , as long as there is no more resources , is going for this to happen , "" she said . 20 1, 27, 13, 1, 1, 1, 34, 1, 27, 3, 1 10.0
+MOP100 ja It was a way of thinking and behavior . 8 73, 93, 63, 82, 88, 44, 80, 67, 100, 83 77.3
+MOP100 ja It's Saturday night , and they may not come . 8 91, 100, 100, 100, 100, 97, 87, 99, 93, 100 96.7
+MOP100 ja Further information SS Langer , RSC, Burlington House , Piccadilly , London from W1V 0BN. 12 16, 24, 33, 1, 100, 96, 10, 27, 27, 19 35.3
+MOP100 ja Is short Jarisch - Herxheimer reaction to the normal ' Herxheimer ' reaction , I follow the initial dose of the treatment of syphilis in the proportion of cases . 25 16, 52, 34, 1, 38, 41, 78, 20, 1, 15 29.6
+MOP100 ja This man , was buried here in the fourth century . 9 100, 88, 99, 51, 71, 100, 16, 100, 88, 10 72.3
+MOP100 ja Like many of the assumptions of popular subject matter , this is wrong . 12 94, 58, 93, 60, 100, 91, 93, 89, 100, 100, 100 88.9090909091
+MOP100 ja All in the hotel everyone is ordered calm in the first world : chocolate swimming pool state-of-the-art , satellite TV , pillow at night . 21 4, 29, 11, 1, 16, 9, 5, 8, 17, 1, 1 9.27272727273
+MOP100 ja The tapestry of the first of Morris , is located here , design and fabric of his are everywhere . 17 13, 14, 21, 64, 75, 57, 90, 88, 70, 40, 32 51.2727272727
+MOP100 ja In the back of something , but they looked to his features as if you want carved from stone stirring gaze . 20 4, 1, 16, 5, 100, 3, 40, 1, 37, 8, 15, 4 19.5
+MOP100 ja About 20 years , women , art , the association is a synthesis of the work is progressing for the visual arts and women . 21 36, 17, 11, 16, 78, 11, 1, 40, 26, 20 25.6
+MOP100 ja The way to achieve this "" new Pentecost "" already , he knew that it was the Council within a few days of his election . 22 24, 16, 1, 19, 40, 56, 60, 68, 63, 24, 20 35.5454545455
+MOP100 ja ' Look at you , I ' travesties I do not see the Grainne , and said softly . 14 1, 4, 3, 28, 1, 32, 30, 22, 1, 1, 1 11.2727272727
+MOP100 ja Here , there are various applications of 10 for the book ; 10 20, 62, 78, 46, 54, 40, 1, 53, 84, 13 45.1
+MOP100 ja Depending on the expectations , it was associated with increased volatile weekend . 11 23, 84, 100, 26, 17, 79, 90, 49, 70, 7 54.5
+MOP100 ja ' I cried when the voice of anyone who was called was asked and I thought it was some weirdo : ' It's me ! ' 21 5, 36, 75, 41, 15, 79, 34, 10 36.875
+MOP100 ja ' I should not be , ' attendant said , but I smiled widely then . 11 12, 84, 1, 42, 29, 89, 22, 17, 100, 22, 15, 1, 34 36.0
+MOP100 ja Well ' , it is , it is not a bad idea what? 10 1, 75, 2, 9, 96, 43, 12, 7 30.625
+MOP100 ja ' We have a lock-on tail to Tweed already . 8 15, 95, 8, 40, 93, 87, 82, 1, 37, 31, 80 51.7272727273
+MOP100 ja By another scientist team , genetic spray Dr. Julia Dorin , which had been described as a development very exciting . 18 15, 88, 13, 3, 27, 100, 26, 59, 9, 1, 1 31.0909090909
+MOP100 ja ' Ash , dust dust earth , ashes to the earth ... ' 8 59, 66, 10, 17, 1, 5, 14, 38, 3, 14, 1, 1 19.0833333333
+MOP100 ja If so , they can share their knowledge with us? 9 53, 88, 100, 73, 100, 99, 24, 80, 87, 87, 100, 6 74.75
+MOP100 ja However , there is something similar to the sun . 8 95, 100, 87, 100, 100, 79, 97, 100, 100, 100 95.8
+MOP100 ja Do you can give a name to his disciples '? The ' , I asked one journalist . 14 81, 2, 26, 7, 1, 2, 1, 1, 1, 73, 12, 1, 21 17.6153846154
+MOP100 ja Before it was due to what they have left , mother of Catherine had come a day home . 17 1, 19, 8, 32, 33, 35, 42, 11, 16, 12 20.9
+MOP100 ja You wonder why - but , I mibbe to be thanks to the MA 12 1, 69, 14, 7, 15, 1, 1, 57, 86, 1, 1 23.0
+MOP100 ja Beautiful flowers and dark stripes , fast , strong interior of golden yellow and fragrant , honey , purple tinged with the plain gray on the outside , . 23 95, 84, 7, 62, 20, 22, 37, 1, 67, 22, 29 40.5454545455
+MOP100 ja I'm worried about the impact on the 600,000 people considered their findings , and are affected by the release of radiation . 20 10, 19, 63, 75, 74, 85, 37, 92, 23, 37, 32 49.7272727273
+MOP100 ja This was the need to qualify later call to the bar . 11 8, 83, 17, 31, 13, 1, 29, 29, 23, 35, 27, 18, 1 24.2307692308
+MOP100 ja They are , in a game about Kappa energetic 4-A- side and volleyball net strung between palm trees two . 18 20, 9, 74, 2, 1, 8, 43, 7, 17, 1 18.2
+MOP100 ja Both were former members leftist extremist Red Army (RAF). 8 95, 85, 59, 66, 62, 85, 14, 59, 74 66.5555555556
+MOP100 ja I do not think Chris and band and know each other well at a time . 15 1, 32, 3, 54, 47, 12, 9, 18, 41 24.1111111111
+MOP100 ja Being conscious that was thirsty at least , Shelley , drank these , and was a long afternoon it both . 17 1, 15, 29, 7, 3, 13, 1, 18, 45, 13, 11, 1, 1 12.1538461538
+MOP100 ja However, there are people you know , brilliant punch , is to ride again at some point in the future still . 19 1, 1, 6, 1, 84, 39, 18, 61, 35, 18, 29 26.6363636364
+MOP100 ja That it is one of the women elected prince has its drawbacks . 12 2, 25, 88, 4, 33, 4, 6, 40, 64, 9 27.5
+MOP100 es The figure shows how the A- measure per unit area varies with reading the radiometer . 15 1, 93, 95, 35, 79, 79, 86, 79, 82, 100, 88, 3 68.3333333333
+MOP100 es Here we have an uninterrupted view of the prospect , and what a glorious prospect is , stretching far away for miles on each side. 23 12, 86, 76, 43, 29, 10, 95, 82, 15, 39, 100, 38, 1 48.1538461538
+MOP100 es It is an act of courage to start over in a garden , and proof of insurance for own design capabilities . 20 12, 60, 22, 65, 33, 45, 40, 13, 39, 19 34.8
+MOP100 es The law of July 29, 1881 stated, "" the publication and a free press . 13 84, 72, 71, 99, 89, 73, 26, 37, 40 65.6666666667
+MOP100 es The rates specified in the program files on the hard disk of the PC to allow almost instantaneous search keywords. 20 92, 92, 41, 40, 1, 62, 87, 10, 66, 69, 72 57.4545454545
+MOP100 es For the truth is that no single agent affects our planet as much as we do. 16 100, 62, 100, 98, 86, 35, 93, 100, 100, 100 87.4
+MOP100 es The conveyors are designed to withstand accidents , and until recently the Govenrment ruled out any possibility of a radioactive leak . 20 100, 85, 100, 69, 90, 84, 100, 100 91.0
+MOP100 es C and Ku bands , 4 GHz to 6 GHz and 11 GHz to 14 GHz , respectively, are widely used . 19 97, 82, 100, 86, 100, 95, 67, 87, 100, 89, 100 91.1818181818
+MOP100 es How about learning to change things for the better and not just learn to adapt to the way things are now ? 21 97, 85, 94, 77, 90, 100, 100, 100, 97, 99, 100, 92 94.25
+MOP100 es When women were given the artificial moon for three consecutive nights once a month , their cycles became synchronized with the lunar rhythm . 22 1, 100, 91, 87, 88, 59, 74, 92, 100, 100 79.2
+MOP100 es In other words, the general manager calls for economists , statisticians , etc. information , but it is the generalist who is 'visible' . 19 94, 87, 87, 98, 26, 23, 79, 89, 100 75.8888888889
+MOP100 es The basic course provides training particularly in communication theory , especially geared to the African context . 15 100, 93, 90, 80, 79, 67, 100, 93, 63, 100, 95 87.2727272727
+MOP100 es North Harbour coach Brad Meurant said : ""Everyone helped his teammates. 9 71, 64, 97, 90, 90, 100, 84, 86, 100, 32 81.4
+MOP100 es Risk of changes in the expected rate of long-term growth of the economy. 13 91, 87, 95, 36, 94, 100, 71, 17, 100, 84, 95, 1 72.5833333333
+MOP100 es Lawyers and suitably qualified Fellows of the Institute of Legal Executives . 11 98, 88, 16, 90, 47, 1, 100, 83, 81, 100, 1 64.0909090909
+MOP100 es As Montagu ( 1976 ) has pointed out time and again , the social activity of war need not have any relation to the internal state of aggression. 25 90, 82, 100, 100, 100, 85, 86, 58, 100, 91, 100 90.1818181818
+MOP100 es Repeating what you hear , women in the just claim that something called "" Salvadoran democracy "" is in danger. 17 84, 84, 32, 30, 17, 22, 66, 1, 38, 64, 18, 77 44.4166666667
+MOP100 es The Jarisch -Herxheimer reaction usually shortened to the "" Herxheimer "" , following the initial dose of the treatment of syphilis in a proportion of cases . 22 100, 90, 64, 35, 29, 75, 55, 8, 83, 51, 18, 69 56.4166666667
+MOP100 es He looked at Athelstan , his face beaming with pride . 9 100, 86, 97, 100, 100, 100, 100, 77, 87, 100, 100 95.1818181818
+MOP100 es Among the best hotels of all first world ordered calmly pools state - of-the -art, satellite TV and chocolates on your pillow at night. 22 1, 16, 59, 26, 74, 30, 10, 1, 64, 1 28.2
+MOP100 es Both political and economic accounting of the costs and benefits of soil conservation programs to others outside the affected areas is potentially relevant . 23 94, 93, 15, 90, 100, 96, 100, 69, 91, 93, 94, 74 84.0833333333
+MOP100 es The operation eventually involve over 35,000 soldiers from at least nine countries . 12 9, 88, 37, 71, 39, 84, 40, 96, 79, 74 61.7
+MOP100 es It was originally recorded as a cot death and there was no investigation , but now there will be an investigation. 20 5, 100, 97, 81, 95, 83, 82, 87, 100, 85, 78 81.1818181818
+MOP100 es I thought it was some weird guy and when I asked who was calling the voice shouted,""It's me ! ' 18 94, 69, 96, 94, 98, 100, 8, 100 82.375
+MOP100 es He reached an agreement with two actors , gave the camera crews a little private money and turned to his aides film . 21 41, 90, 68, 81, 100, 86, 78, 94, 93, 80, 70, 37 76.5
+MOP100 es ALMOST CELIA welcomed the idea of going to work. 9 100, 97, 40, 27, 1, 64, 66, 30, 96 57.8888888889
+MOP100 es If so , could you share the knowledge with us ? 9 100, 99, 90, 100, 100, 100, 100, 100, 100 98.7777777778
+MOP100 es Questions can be asked by the President ( see below) or player who just released ( or have just thrown) 18 16, 89, 2, 22, 39, 90, 90, 98, 38, 32 51.6
+MOP100 es If you prefer an elegant finish brass , bronze fire Dream is a good option value and costs around £ 399. 19 100, 78, 72, 25, 99, 88, 7, 84 69.125
+MOP100 es Add the orange zest and juice , eggs, sugar , cornstarch and ginger. 11 100, 97, 99, 100, 96, 95, 100, 47, 100, 27, 92 86.6363636364
+MOP100 es The man ran in front of Cranston , jumping up and down . 11 100, 90, 91, 100, 100, 97, 100, 100, 100 97.5555555556
+MOP100 es R4 DON HOWE SAYS THIS TOMORROW IS ANOTHER CANDIDATE CAN TAKE U.S. in the new year . 16 1, 1, 6, 20, 37, 1, 1, 1, 9, 1 7.8
+MOP100 es It may be the detailed description and prices of the goods , details of a complaint , the ideas for a new product , or whatever . 23 100, 89, 15, 94, 100, 100, 100, 82, 84, 81, 68, 76 82.4166666667
+MOP100 es Who was Elsie and what had happened to her? 9 86, 96, 98, 100, 100, 86, 100, 100, 100, 81 94.7
+MOP100 es A slightly thicker book , The Bernese Alps important details of the region bordered by the previous book . 17 1, 18, 4, 64, 14, 64, 68, 1, 19, 15 26.8
+MOP100 es And then do not say where you have been , if they are wise . 13 100, 86, 66, 78, 39, 37, 100, 1, 39, 98, 71, 11 60.5
+MOP100 es In the seventeenth century the new Dutch Republic was the only major power to make extensive use of this method of representation. 22 97, 100, 99, 100, 96, 100, 100, 100, 100, 100 99.2
+MOP100 es So you are working on a political model of peer Photo and meaning ? 13 4, 91, 1, 74, 22, 91, 85, 78, 74, 67 58.7
+MOP100 es ' If you want to use the bathroom facilities , please . 9 16, 86, 70, 16, 72, 50, 96, 90, 100, 33, 74 63.9090909091
+MOP100 es When the Indians went hunting for both the animals and rival Indians , their firepower was mortal . 16 1, 83, 12, 7, 88, 85, 93, 33, 99, 80, 83 60.3636363636
+MOP100 es It has been estimated that 65 percent of the deals are in cash and the rest are forward deals . 19 72, 84, 99, 92, 39, 100, 69, 100, 89, 100, 100, 100, 1 80.3846153846
+MOP100 es But anyway "" - his tone changed again - "" I am grateful for your help. ' 12 100, 85, 85, 100, 96, 100, 100, 100, 100, 99, 80, 86 94.25
+MOP100 es When the bishops moved into the house 10 years ago, he had been on the market for 18 months and had become very run down. 25 87, 62, 33, 29, 84, 88, 76, 91, 95, 58, 85, 95, 3, 69 68.2142857143
+MOP100 es I thought I could go to the U.S. and help the anti - student projects around Army camps ,"" he said . 19 86, 65, 62, 100, 100, 96, 98, 87, 86, 87 86.7
+MOP100 no In the next year he had custody of Rochester Castle . 10 100, 100, 94, 100, 81, 32, 63, 12, 73, 39 69.4
+MOP100 no Although the music was animated , moving only his arms . 9 13, 74, 19, 15, 32, 4, 33, 27, 80, 3, 1 27.3636363636
+MOP100 no See how the word wrap back to the previous line . 10 8, 88, 34, 97, 96, 26, 82, 35, 5 52.3333333333
+MOP100 no There was a significant improvement in the presence of miners in Mansfield clinic , but since this was much closer to their homes . 22 94, 89, 32, 26, 28, 21, 38, 32, 87, 32, 76, 11 47.1666666667
+MOP100 no ' Goodness me , who on earth could it be? ' 8 100, 73, 100, 85, 74, 60, 88, 100, 100 86.6666666667
+MOP100 no This required movement can not take place except in a liquid medium. 12 100, 100, 65, 100, 78, 91, 81, 100, 100, 100 91.5
+MOP100 no A friend to everyone she met ... much loved and much missed. 11 71, 100, 90, 85, 64, 90, 77, 76, 83 81.7777777778
+MOP100 no ' But it was lost - the walls were built over it, the paper had dissolved. ' 14 100, 86, 95, 79, 88, 100, 43, 90, 83, 79, 77 83.6363636364
+MOP100 no Modernization and industrialization of the nineteenth century Britain changed population map. 11 4, 85, 64, 12, 24, 32, 100, 75, 1, 88 48.5
+MOP100 no The fireplace in question was put into a big thick wall that partially divided main compartment. 16 91, 66, 41, 90, 90, 32, 86, 100 74.5
+MOP100 no Julie 's husband Tim stood weeping beside the grave of St Botolph 's Church in Brampton, Northants . 15 100, 11, 51, 59, 100, 56, 93, 97, 84, 100, 100 77.3636363636
+MOP100 no For the truth is that no single agent affects our planet as much as we do. 16 100, 98, 100, 93, 57, 65, 100, 89, 98, 100, 100 90.9090909091
+MOP100 no They will report to a board of directors chaired by Sir Robert Telford , director of Marconi, a subsidiary of the ubiquitous GEC group. 23 98, 92, 98, 100, 35, 95, 83, 100, 100, 100 90.1
+MOP100 no A training allowance and travel expenses for the 16 weeks of the program . 13 16, 96, 82, 100, 89, 90, 78, 69, 37, 100, 100 77.9090909091
+MOP100 no I will come back again next weekend and we can schedule it . ' 12 100, 84, 100, 95, 100, 100, 100, 89, 100, 100, 100 97.0909090909
+MOP100 no This is more representative of the nature of R & D projects than are single date often given as a result of a PERT plan. 24 67, 91, 59, 1, 31, 35, 1, 84, 79, 91, 69, 8, 12 48.3076923077
+MOP100 no In other words generalist administrator urge the economists, statisticians , etc. for information, but it is the generalist who is ""on top"". 20 100, 84, 68, 58, 1, 100, 27, 1, 74, 33, 95, 75, 40, 83 59.9285714286
+MOP100 no Any previous wheel- pit at this site , however, could have been either demolished and rebuilt or enlarged to take the new wheel. 22 87, 79, 71, 78, 100, 82, 89, 79, 79, 22, 75 76.4545454545
+MOP100 no Along the flanks are arrays of proprioceptors which partially acts as external arteries. 13 85, 96, 41, 95, 34, 85, 67, 2, 63, 61 62.9
+MOP100 no She stood outside the elevators in the hospital's main entrance with other visitors. 13 51, 91, 75, 100, 100, 100, 100, 87, 100, 100, 100 91.2727272727
+MOP100 no A similar picture emerges in relation to the distribution of gross earnings among female manual workers . 16 100, 92, 99, 98, 74, 100, 100, 100, 51, 100, 100 92.1818181818
+MOP100 no Her Royal Highness traveled in an aircraft of the Queen's plane and was accompanied by Mrs Harry Cotterell . 18 100, 91, 65, 78, 63, 95, 100, 93, 93, 100, 100, 100, 74 88.6153846154
+MOP100 no There is no other catalog quite like OXFAM Christmas catalog. 10 95, 91, 97, 83, 100, 100, 80, 89, 58, 100, 90 89.3636363636
+MOP100 no Somewhere in the silence between them a phone began urgency , persistent ring . 12 1, 1, 15, 44, 62, 39, 84, 20, 34, 1, 7 28.0
+MOP100 no Repeat what they hear , women on the right claim that something called "" Salvadorean democracy "" is in danger. 17 86, 33, 32, 100, 37, 85, 84, 57, 35, 74, 88 64.6363636364
+MOP100 no Ideally, this would not be necessary if those submitting them has a vision for and support the work financially. 19 93, 14, 24, 58, 37, 86, 60, 85, 29, 70 55.6
+MOP100 no ' It may have something to do with Angy murder. 9 1, 37, 70, 17, 92, 91, 87, 86, 58, 33 57.2
+MOP100 no From then on , the path to the double helix clear. 10 7, 93, 8, 60, 77, 1, 1, 48, 89, 14, 37, 13 37.3333333333
+MOP100 no Questionnaire sent by mail will not be returned and refused interviews . 11 26, 17, 36, 17, 59, 61, 83, 82, 12, 81, 49 47.5454545455
+MOP100 no UI will no longer be just a claim body or a marketing arm for USL . 15 95, 87, 98, 95, 85, 84, 89, 100, 100, 100, 100 93.9090909091
+MOP100 no We may never know the exact number of deaths. 9 100, 100, 100, 100, 100, 84, 81, 84, 100, 100 94.9
+MOP100 no Some slogans and ideas from the "" Democracy Wall Movement"" of 1978-1979 was another brief consultation during these days. 18 10, 82, 18, 35, 34, 38, 1, 100, 66, 70 45.4
+MOP100 no The old Highways Yard in Rigby Road with its railway connection seemed to offer an ideal site . 17 96, 88, 100, 100, 91, 86, 95, 64, 100 91.1111111111
+MOP100 no She noticed his fingers trembled , and her anger faded , replaced instead by a wildly optimistic and hopeful. 17 90, 65, 19, 75, 31, 65, 91, 93, 61, 75, 16 61.9090909091
+MOP100 no If so, they share their knowledge with us ? 8 30, 44, 58, 79, 70, 70, 58, 89, 1, 43, 80 56.5454545455
+MOP100 no McLaren keeps his own counsel , is as reluctant as Ferguson is gregarious . 12 70, 67, 85, 90, 77, 85, 25, 69, 1, 89, 84, 85, 26 65.6153846154
+MOP100 no A path led up from where they stood , its flag stone worn and broken, progress hidden here and there with moss and weeds . 23 95, 90, 92, 90, 91, 66, 100, 28, 14, 100, 38, 95 74.9166666667
+MOP100 no Japanese banks operating in London accounted for 28.5 % of total loans from London in 1991 , U.S. banks 15% and other banks 40.7 % . 22 100, 90, 95, 17, 93, 91, 87, 100, 100 85.8888888889
+MOP100 no If the French should take them and see them directed against such noted men , they can take care of sending them to them. 23 87, 28, 25, 70, 100, 9, 33, 17, 22, 13, 35, 89 44.0
+MOP100 no Mr Tadgell , 32, rented an apartment in Australia with Joanna as she has gone from a cleaner to a waitress at the casino. 23 100, 91, 90, 80, 88, 82, 100, 90, 76, 60, 78 85.0
+MOP100 no It's not like the old days when people lived in villages and knew that great- grandad was a horse thief or whatever. 22 90, 96, 100, 97, 100, 100, 95, 63, 69, 100, 95, 100 92.0833333333
+MOP100 no After I had my tea I would go to bed . 10 100, 85, 100, 76, 100, 90, 79, 85, 92, 80 88.7
+MOP100 no Robin Child refuses absolutely to grade , and when O - levels paved the way for GCSE with all its internal courses and labeling, he rejected it . 25 11, 69, 73, 65, 95, 71, 76, 95 69.375
+MOP100 no Synergie Ultra - Gentle Eye Make -up Remover with extracts of rose , a light oil-free moisturizer with soothing properties , £ 2.99 / 200ml . 19 9, 89, 98, 1, 16, 41, 35, 81, 82, 74, 62 53.4545454545
+MOP100 no I thought I could go to America and help anti - draft students around the army camps , he said. 18 4, 100, 95, 100, 92, 90, 82, 64, 93, 90, 100 82.7272727273
+MOP100 no I do not think Chris and the band know each other well enough at the time. 16 86, 100, 22, 93, 100, 100, 83, 100, 92, 34 81.0
+MOP100 no ' Donna , I said that we should call the police . 9 100, 100, 77, 99, 100, 69, 100, 90, 22, 100, 88 85.9090909091
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diff --git a/app-3e7e4f2884c6a1fb6dfd.js.LICENSE.txt b/app-3e7e4f2884c6a1fb6dfd.js.LICENSE.txt
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index 0000000000..9308d5b9c6
--- /dev/null
+++ b/app-3e7e4f2884c6a1fb6dfd.js.LICENSE.txt
@@ -0,0 +1,4 @@
+/*!
+ * domready (c) Dustin Diaz 2014 - License MIT
+ * ie10 fix - Mikael Kristiansson 2019
+ */
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strict\";\n\nvar _interopRequireDefault = require(\"@babel/runtime/helpers/interopRequireDefault\");\n\nexports.__esModule = true;\nexports.withPrefix = withPrefix;\nexports.withAssetPrefix = withAssetPrefix;\nexports.navigateTo = exports.replace = exports.push = exports.navigate = exports.default = void 0;\n\nvar _objectWithoutPropertiesLoose2 = _interopRequireDefault(require(\"@babel/runtime/helpers/objectWithoutPropertiesLoose\"));\n\nvar _assertThisInitialized2 = _interopRequireDefault(require(\"@babel/runtime/helpers/assertThisInitialized\"));\n\nvar _inheritsLoose2 = _interopRequireDefault(require(\"@babel/runtime/helpers/inheritsLoose\"));\n\nvar _extends2 = _interopRequireDefault(require(\"@babel/runtime/helpers/extends\"));\n\nvar _propTypes = _interopRequireDefault(require(\"prop-types\"));\n\nvar _react = _interopRequireDefault(require(\"react\"));\n\nvar _router = require(\"@reach/router\");\n\nvar _utils = require(\"@reach/router/lib/utils\");\n\nvar _parsePath = require(\"./parse-path\");\n\nexports.parsePath = _parsePath.parsePath;\n\nvar isAbsolutePath = function isAbsolutePath(path) {\n return path === null || path === void 0 ? void 0 : path.startsWith(\"/\");\n};\n\nfunction withPrefix(path, prefix) {\n var _ref, _prefix;\n\n if (prefix === void 0) {\n prefix = getGlobalBasePrefix();\n }\n\n if (!isLocalLink(path)) {\n return path;\n }\n\n if (path.startsWith(\"./\") || path.startsWith(\"../\")) {\n return path;\n }\n\n var base = (_ref = (_prefix = prefix) !== null && _prefix !== void 0 ? _prefix : getGlobalPathPrefix()) !== null && _ref !== void 0 ? _ref : \"/\";\n return \"\" + ((base === null || base === void 0 ? void 0 : base.endsWith(\"/\")) ? base.slice(0, -1) : base) + (path.startsWith(\"/\") ? path : \"/\" + path);\n} // These global values are wrapped in typeof clauses to ensure the values exist.\n// This is especially problematic in unit testing of this component.\n\n\nvar getGlobalPathPrefix = function getGlobalPathPrefix() {\n return process.env.NODE_ENV !== \"production\" ? typeof __PATH_PREFIX__ !== \"undefined\" ? __PATH_PREFIX__ : undefined : __PATH_PREFIX__;\n};\n\nvar getGlobalBasePrefix = function getGlobalBasePrefix() {\n return process.env.NODE_ENV !== \"production\" ? typeof __BASE_PATH__ !== \"undefined\" ? __BASE_PATH__ : undefined : __BASE_PATH__;\n};\n\nvar isLocalLink = function isLocalLink(path) {\n return path && !path.startsWith(\"http://\") && !path.startsWith(\"https://\") && !path.startsWith(\"//\");\n};\n\nfunction withAssetPrefix(path) {\n return withPrefix(path, getGlobalPathPrefix());\n}\n\nfunction absolutify(path, current) {\n // If it's already absolute, return as-is\n if (isAbsolutePath(path)) {\n return path;\n }\n\n return (0, _utils.resolve)(path, current);\n}\n\nvar rewriteLinkPath = function rewriteLinkPath(path, relativeTo) {\n if (typeof path === \"number\") {\n return path;\n }\n\n if (!isLocalLink(path)) {\n return path;\n }\n\n return isAbsolutePath(path) ? withPrefix(path) : absolutify(path, relativeTo);\n};\n\nvar NavLinkPropTypes = {\n activeClassName: _propTypes.default.string,\n activeStyle: _propTypes.default.object,\n partiallyActive: _propTypes.default.bool\n}; // Set up IntersectionObserver\n\nvar createIntersectionObserver = function createIntersectionObserver(el, cb) {\n var io = new window.IntersectionObserver(function (entries) {\n entries.forEach(function (entry) {\n if (el === entry.target) {\n // Check if element is within viewport, remove listener, destroy observer, and run link callback.\n // MSEdge doesn't currently support isIntersecting, so also test for an intersectionRatio > 0\n if (entry.isIntersecting || entry.intersectionRatio > 0) {\n io.unobserve(el);\n io.disconnect();\n cb();\n }\n }\n });\n }); // Add element to the observer\n\n io.observe(el);\n return {\n instance: io,\n el: el\n };\n};\n\nfunction GatsbyLinkLocationWrapper(props) {\n return /*#__PURE__*/_react.default.createElement(_router.Location, null, function (_ref2) {\n var location = _ref2.location;\n return /*#__PURE__*/_react.default.createElement(GatsbyLink, (0, _extends2.default)({}, props, {\n _location: location\n }));\n });\n}\n\nvar GatsbyLink = /*#__PURE__*/function (_React$Component) {\n (0, _inheritsLoose2.default)(GatsbyLink, _React$Component);\n\n function GatsbyLink(props) {\n var _this;\n\n _this = _React$Component.call(this, props) || this; // Default to no support for IntersectionObserver\n\n _this.defaultGetProps = function (_ref3) {\n var isPartiallyCurrent = _ref3.isPartiallyCurrent,\n isCurrent = _ref3.isCurrent;\n\n if (_this.props.partiallyActive ? isPartiallyCurrent : isCurrent) {\n return {\n className: [_this.props.className, _this.props.activeClassName].filter(Boolean).join(\" \"),\n style: (0, _extends2.default)({}, _this.props.style, _this.props.activeStyle)\n };\n }\n\n return null;\n };\n\n var IOSupported = false;\n\n if (typeof window !== \"undefined\" && window.IntersectionObserver) {\n IOSupported = true;\n }\n\n _this.state = {\n IOSupported: IOSupported\n };\n _this.handleRef = _this.handleRef.bind((0, _assertThisInitialized2.default)(_this));\n return _this;\n }\n\n var _proto = GatsbyLink.prototype;\n\n _proto._prefetch = function _prefetch() {\n var currentPath = window.location.pathname; // reach router should have the correct state\n\n if (this.props._location && this.props._location.pathname) {\n currentPath = this.props._location.pathname;\n }\n\n var rewrittenPath = rewriteLinkPath(this.props.to, currentPath);\n var newPathName = (0, _parsePath.parsePath)(rewrittenPath).pathname; // Prefech is used to speed up next navigations. When you use it on the current navigation,\n // there could be a race-condition where Chrome uses the stale data instead of waiting for the network to complete\n\n if (currentPath !== newPathName) {\n ___loader.enqueue(newPathName);\n }\n };\n\n _proto.componentDidUpdate = function componentDidUpdate(prevProps, prevState) {\n // Preserve non IO functionality if no support\n if (this.props.to !== prevProps.to && !this.state.IOSupported) {\n this._prefetch();\n }\n };\n\n _proto.componentDidMount = function componentDidMount() {\n // Preserve non IO functionality if no support\n if (!this.state.IOSupported) {\n this._prefetch();\n }\n };\n\n _proto.componentWillUnmount = function componentWillUnmount() {\n if (!this.io) {\n return;\n }\n\n var _this$io = this.io,\n instance = _this$io.instance,\n el = _this$io.el;\n instance.unobserve(el);\n instance.disconnect();\n };\n\n _proto.handleRef = function handleRef(ref) {\n var _this2 = this;\n\n if (this.props.innerRef && this.props.innerRef.hasOwnProperty(\"current\")) {\n this.props.innerRef.current = ref;\n } else if (this.props.innerRef) {\n this.props.innerRef(ref);\n }\n\n if (this.state.IOSupported && ref) {\n // If IO supported and element reference found, setup Observer functionality\n this.io = createIntersectionObserver(ref, function () {\n _this2._prefetch();\n });\n }\n };\n\n _proto.render = function render() {\n var _this3 = this;\n\n var _this$props = this.props,\n to = _this$props.to,\n _this$props$getProps = _this$props.getProps,\n getProps = _this$props$getProps === void 0 ? this.defaultGetProps : _this$props$getProps,\n _onClick = _this$props.onClick,\n _onMouseEnter = _this$props.onMouseEnter,\n $activeClassName = _this$props.activeClassName,\n $activeStyle = _this$props.activeStyle,\n $innerRef = _this$props.innerRef,\n partiallyActive = _this$props.partiallyActive,\n state = _this$props.state,\n replace = _this$props.replace,\n _location = _this$props._location,\n rest = (0, _objectWithoutPropertiesLoose2.default)(_this$props, [\"to\", \"getProps\", \"onClick\", \"onMouseEnter\", \"activeClassName\", \"activeStyle\", \"innerRef\", \"partiallyActive\", \"state\", \"replace\", \"_location\"]);\n\n if (process.env.NODE_ENV !== \"production\" && !isLocalLink(to)) {\n console.warn(\"External link \" + to + \" was detected in a Link component. Use the Link component only for internal links. See: https://gatsby.dev/internal-links\");\n }\n\n var prefixedTo = rewriteLinkPath(to, _location.pathname);\n\n if (!isLocalLink(prefixedTo)) {\n return /*#__PURE__*/_react.default.createElement(\"a\", (0, _extends2.default)({\n href: prefixedTo\n }, rest));\n }\n\n return /*#__PURE__*/_react.default.createElement(_router.Link, (0, _extends2.default)({\n to: prefixedTo,\n state: state,\n getProps: getProps,\n innerRef: this.handleRef,\n onMouseEnter: function onMouseEnter(e) {\n if (_onMouseEnter) {\n _onMouseEnter(e);\n }\n\n ___loader.hovering((0, _parsePath.parsePath)(prefixedTo).pathname);\n },\n onClick: function onClick(e) {\n if (_onClick) {\n _onClick(e);\n }\n\n if (e.button === 0 && // ignore right clicks\n !_this3.props.target && // let browser handle \"target=_blank\"\n !e.defaultPrevented && // onClick prevented default\n !e.metaKey && // ignore clicks with modifier keys...\n !e.altKey && !e.ctrlKey && !e.shiftKey) {\n e.preventDefault();\n var shouldReplace = replace;\n\n var isCurrent = encodeURI(prefixedTo) === _location.pathname;\n\n if (typeof replace !== \"boolean\" && isCurrent) {\n shouldReplace = true;\n } // Make sure the necessary scripts and data are\n // loaded before continuing.\n\n\n window.___navigate(prefixedTo, {\n state: state,\n replace: shouldReplace\n });\n }\n\n return true;\n }\n }, rest));\n };\n\n return GatsbyLink;\n}(_react.default.Component);\n\nGatsbyLink.propTypes = (0, _extends2.default)({}, NavLinkPropTypes, {\n onClick: _propTypes.default.func,\n to: _propTypes.default.string.isRequired,\n replace: _propTypes.default.bool,\n state: _propTypes.default.object\n});\n\nvar showDeprecationWarning = function showDeprecationWarning(functionName, altFunctionName, version) {\n return console.warn(\"The \\\"\" + functionName + \"\\\" method is now deprecated and will be removed in Gatsby v\" + version + \". Please use \\\"\" + altFunctionName + \"\\\" instead.\");\n};\n\nvar _default = /*#__PURE__*/_react.default.forwardRef(function (props, ref) {\n return /*#__PURE__*/_react.default.createElement(GatsbyLinkLocationWrapper, (0, _extends2.default)({\n innerRef: ref\n }, props));\n});\n\nexports.default = _default;\n\nvar navigate = function navigate(to, options) {\n window.___navigate(rewriteLinkPath(to, window.location.pathname), options);\n};\n\nexports.navigate = navigate;\n\nvar push = function push(to) {\n showDeprecationWarning(\"push\", \"navigate\", 3);\n\n window.___push(rewriteLinkPath(to, window.location.pathname));\n};\n\nexports.push = push;\n\nvar replace = function replace(to) {\n showDeprecationWarning(\"replace\", \"navigate\", 3);\n\n window.___replace(rewriteLinkPath(to, window.location.pathname));\n}; // TODO: Remove navigateTo for Gatsby v3\n\n\nexports.replace = replace;\n\nvar navigateTo = function navigateTo(to) {\n showDeprecationWarning(\"navigateTo\", \"navigate\", 3);\n return push(to);\n};\n\nexports.navigateTo = navigateTo;","\"use strict\";\n\nexports.__esModule = true;\nexports.SessionStorage = void 0;\nvar STATE_KEY_PREFIX = \"@@scroll|\";\nvar GATSBY_ROUTER_SCROLL_STATE = \"___GATSBY_REACT_ROUTER_SCROLL\";\n\nvar SessionStorage = /*#__PURE__*/function () {\n function SessionStorage() {}\n\n var _proto = SessionStorage.prototype;\n\n _proto.read = function read(location, key) {\n var stateKey = this.getStateKey(location, key);\n\n try {\n var value = window.sessionStorage.getItem(stateKey);\n return value ? JSON.parse(value) : 0;\n } catch (e) {\n if (process.env.NODE_ENV !== \"production\") {\n console.warn(\"[gatsby-react-router-scroll] Unable to access sessionStorage; sessionStorage is not available.\");\n }\n\n if (window && window[GATSBY_ROUTER_SCROLL_STATE] && window[GATSBY_ROUTER_SCROLL_STATE][stateKey]) {\n return window[GATSBY_ROUTER_SCROLL_STATE][stateKey];\n }\n\n return 0;\n }\n };\n\n _proto.save = function save(location, key, value) {\n var stateKey = this.getStateKey(location, key);\n var storedValue = JSON.stringify(value);\n\n try {\n window.sessionStorage.setItem(stateKey, storedValue);\n } catch (e) {\n if (window && window[GATSBY_ROUTER_SCROLL_STATE]) {\n window[GATSBY_ROUTER_SCROLL_STATE][stateKey] = JSON.parse(storedValue);\n } else {\n window[GATSBY_ROUTER_SCROLL_STATE] = {};\n window[GATSBY_ROUTER_SCROLL_STATE][stateKey] = JSON.parse(storedValue);\n }\n\n if (process.env.NODE_ENV !== \"production\") {\n console.warn(\"[gatsby-react-router-scroll] Unable to save state in sessionStorage; sessionStorage is not available.\");\n }\n }\n };\n\n _proto.getStateKey = function getStateKey(location, key) {\n var stateKeyBase = \"\" + STATE_KEY_PREFIX + location.pathname;\n return key === null || typeof key === \"undefined\" ? stateKeyBase : stateKeyBase + \"|\" + key;\n };\n\n return SessionStorage;\n}();\n\nexports.SessionStorage = SessionStorage;","var _typeof = require(\"./typeof.js\")[\"default\"];\nfunction _getRequireWildcardCache(e) {\n if (\"function\" != typeof WeakMap) return null;\n var r = new WeakMap(),\n t = new WeakMap();\n return (_getRequireWildcardCache = function _getRequireWildcardCache(e) {\n return e ? t : r;\n })(e);\n}\nfunction _interopRequireWildcard(e, r) {\n if (!r && e && e.__esModule) return e;\n if (null === e || \"object\" != _typeof(e) && \"function\" != typeof e) return {\n \"default\": e\n };\n var t = _getRequireWildcardCache(r);\n if (t && t.has(e)) return t.get(e);\n var n = {\n __proto__: null\n },\n a = Object.defineProperty && Object.getOwnPropertyDescriptor;\n for (var u in e) if (\"default\" !== u && Object.prototype.hasOwnProperty.call(e, u)) {\n var i = a ? Object.getOwnPropertyDescriptor(e, u) : null;\n i && (i.get || i.set) ? Object.defineProperty(n, u, i) : n[u] = e[u];\n }\n return n[\"default\"] = e, t && t.set(e, n), n;\n}\nmodule.exports = _interopRequireWildcard, module.exports.__esModule = true, module.exports[\"default\"] = module.exports;","export default path => {\n if (path === undefined) {\n return path\n }\n if (path === `/`) {\n return `/`\n }\n if (path.charAt(path.length - 1) === `/`) {\n return path.slice(0, -1)\n }\n return path\n}\n","import { pick } from \"@reach/router/lib/utils\"\nimport stripPrefix from \"./strip-prefix\"\nimport normalizePagePath from \"./normalize-page-path\"\n\nconst pathCache = new Map()\nlet matchPaths = []\n\nconst trimPathname = rawPathname => {\n const pathname = decodeURIComponent(rawPathname)\n // Remove the pathPrefix from the pathname.\n const trimmedPathname = stripPrefix(pathname, __BASE_PATH__)\n // Remove any hashfragment\n .split(`#`)[0]\n // Remove search query\n .split(`?`)[0]\n\n return trimmedPathname\n}\n\nfunction absolutify(path) {\n // If it's already absolute, return as-is\n if (\n path.startsWith(`/`) ||\n path.startsWith(`https://`) ||\n path.startsWith(`http://`)\n ) {\n return path\n }\n // Calculate path relative to current location, adding a trailing slash to\n // match behavior of @reach/router\n return new URL(\n path,\n window.location.href + (window.location.href.endsWith(`/`) ? `` : `/`)\n ).pathname\n}\n\n/**\n * Set list of matchPaths\n *\n * @param {Array<{path: string, matchPath: string}>} value collection of matchPaths\n */\nexport const setMatchPaths = value => {\n matchPaths = value\n}\n\n/**\n * Return a matchpath url\n * if `match-paths.json` contains `{ \"/foo*\": \"/page1\", ...}`, then\n * `/foo?bar=far` => `/page1`\n *\n * @param {string} rawPathname A raw pathname\n * @return {string|null}\n */\nexport const findMatchPath = rawPathname => {\n const trimmedPathname = cleanPath(rawPathname)\n\n const pickPaths = matchPaths.map(({ path, matchPath }) => {\n return {\n path: matchPath,\n originalPath: path,\n }\n })\n\n const path = pick(pickPaths, trimmedPathname)\n\n if (path) {\n return normalizePagePath(path.route.originalPath)\n }\n\n return null\n}\n\n/**\n * Return a matchpath params from reach/router rules\n * if `match-paths.json` contains `{ \":bar/*foo\" }`, and the path is /baz/zaz/zoo\n * then it returns\n * { bar: baz, foo: zaz/zoo }\n *\n * @param {string} rawPathname A raw pathname\n * @return {object}\n */\nexport const grabMatchParams = rawPathname => {\n const trimmedPathname = cleanPath(rawPathname)\n\n const pickPaths = matchPaths.map(({ path, matchPath }) => {\n return {\n path: matchPath,\n originalPath: path,\n }\n })\n\n const path = pick(pickPaths, trimmedPathname)\n\n if (path) {\n return path.params\n }\n\n return {}\n}\n\n// Given a raw URL path, returns the cleaned version of it (trim off\n// `#` and query params), or if it matches an entry in\n// `match-paths.json`, its matched path is returned\n//\n// E.g. `/foo?bar=far` => `/foo`\n//\n// Or if `match-paths.json` contains `{ \"/foo*\": \"/page1\", ...}`, then\n// `/foo?bar=far` => `/page1`\nexport const findPath = rawPathname => {\n const trimmedPathname = trimPathname(absolutify(rawPathname))\n if (pathCache.has(trimmedPathname)) {\n return pathCache.get(trimmedPathname)\n }\n\n let foundPath = findMatchPath(trimmedPathname)\n\n if (!foundPath) {\n foundPath = cleanPath(rawPathname)\n }\n\n pathCache.set(trimmedPathname, foundPath)\n\n return foundPath\n}\n\n/**\n * Clean a url and converts /index.html => /\n * E.g. `/foo?bar=far` => `/foo`\n *\n * @param {string} rawPathname A raw pathname\n * @return {string}\n */\nexport const cleanPath = rawPathname => {\n const trimmedPathname = trimPathname(absolutify(rawPathname))\n\n let foundPath = trimmedPathname\n if (foundPath === `/index.html`) {\n foundPath = `/`\n }\n\n foundPath = normalizePagePath(foundPath)\n\n return foundPath\n}\n","\"use strict\";\n\nexports.__esModule = true;\nexports.useScrollRestoration = useScrollRestoration;\n\nvar _scrollHandler = require(\"./scroll-handler\");\n\nvar _react = require(\"react\");\n\nvar _router = require(\"@reach/router\");\n\nfunction useScrollRestoration(identifier) {\n var location = (0, _router.useLocation)();\n var state = (0, _react.useContext)(_scrollHandler.ScrollContext);\n var ref = (0, _react.useRef)();\n (0, _react.useLayoutEffect)(function () {\n if (ref.current) {\n var position = state.read(location, identifier);\n ref.current.scrollTo(0, position || 0);\n }\n }, []);\n return {\n ref: ref,\n onScroll: function onScroll() {\n if (ref.current) {\n state.save(location, identifier, ref.current.scrollTop);\n }\n }\n };\n}","import mitt from \"mitt\"\n\nconst emitter = mitt()\nexport default emitter\n","// \n// An event handler can take an optional event argument\n// and should not return a value\n \n \n\n// An array of all currently registered event handlers for a type\n \n \n// A map of event types and their corresponding event handlers.\n \n \n \n \n\n/** Mitt: Tiny (~200b) functional event emitter / pubsub.\n * @name mitt\n * @returns {Mitt}\n */\nfunction mitt(all ) {\n\tall = all || Object.create(null);\n\n\treturn {\n\t\t/**\n\t\t * Register an event handler for the given type.\n\t\t *\n\t\t * @param {String} type\tType of event to listen for, or `\"*\"` for all events\n\t\t * @param {Function} handler Function to call in response to given event\n\t\t * @memberOf mitt\n\t\t */\n\t\ton: function on(type , handler ) {\n\t\t\t(all[type] || (all[type] = [])).push(handler);\n\t\t},\n\n\t\t/**\n\t\t * Remove an event handler for the given type.\n\t\t *\n\t\t * @param {String} type\tType of event to unregister `handler` from, or `\"*\"`\n\t\t * @param {Function} handler Handler function to remove\n\t\t * @memberOf mitt\n\t\t */\n\t\toff: function off(type , handler ) {\n\t\t\tif (all[type]) {\n\t\t\t\tall[type].splice(all[type].indexOf(handler) >>> 0, 1);\n\t\t\t}\n\t\t},\n\n\t\t/**\n\t\t * Invoke all handlers for the given type.\n\t\t * If present, `\"*\"` handlers are invoked after type-matched handlers.\n\t\t *\n\t\t * @param {String} type The event type to invoke\n\t\t * @param {Any} [evt] Any value (object is recommended and powerful), passed to each handler\n\t\t * @memberOf mitt\n\t\t */\n\t\temit: function emit(type , evt ) {\n\t\t\t(all[type] || []).slice().map(function (handler) { handler(evt); });\n\t\t\t(all['*'] || []).slice().map(function (handler) { handler(type, evt); });\n\t\t}\n\t};\n}\n\nexport default mitt;\n//# sourceMappingURL=mitt.es.js.map\n","\"use strict\";\n\nexports.__esModule = true;\nexports.useScrollRestoration = exports.ScrollContainer = exports.ScrollContext = void 0;\n\nvar _scrollHandler = require(\"./scroll-handler\");\n\nexports.ScrollContext = _scrollHandler.ScrollHandler;\n\nvar _scrollContainer = require(\"./scroll-container\");\n\nexports.ScrollContainer = _scrollContainer.ScrollContainer;\n\nvar _useScrollRestoration = require(\"./use-scroll-restoration\");\n\nexports.useScrollRestoration = _useScrollRestoration.useScrollRestoration;","function _objectWithoutPropertiesLoose(source, excluded) {\n if (source == null) return {};\n var target = {};\n var sourceKeys = Object.keys(source);\n var key, i;\n for (i = 0; i < sourceKeys.length; i++) {\n key = sourceKeys[i];\n if (excluded.indexOf(key) >= 0) continue;\n target[key] = source[key];\n }\n return target;\n}\nmodule.exports = _objectWithoutPropertiesLoose, module.exports.__esModule = true, module.exports[\"default\"] = module.exports;","exports.polyfill = Component => Component\n","var _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; };\n\nvar getLocation = function getLocation(source) {\n var _source$location = source.location,\n search = _source$location.search,\n hash = _source$location.hash,\n href = _source$location.href,\n origin = _source$location.origin,\n protocol = _source$location.protocol,\n host = _source$location.host,\n hostname = _source$location.hostname,\n port = _source$location.port;\n var pathname = source.location.pathname;\n\n\n if (!pathname && href && canUseDOM) {\n var url = new URL(href);\n pathname = url.pathname;\n }\n\n return {\n pathname: encodeURI(decodeURI(pathname)),\n search: search,\n hash: hash,\n href: href,\n origin: origin,\n protocol: protocol,\n host: host,\n hostname: hostname,\n port: port,\n state: source.history.state,\n key: source.history.state && source.history.state.key || \"initial\"\n };\n};\n\nvar createHistory = function createHistory(source, options) {\n var listeners = [];\n var location = getLocation(source);\n var transitioning = false;\n var resolveTransition = function resolveTransition() {};\n\n return {\n get location() {\n return location;\n },\n\n get transitioning() {\n return transitioning;\n },\n\n _onTransitionComplete: function _onTransitionComplete() {\n transitioning = false;\n resolveTransition();\n },\n listen: function listen(listener) {\n listeners.push(listener);\n\n var popstateListener = function popstateListener() {\n location = getLocation(source);\n listener({ location: location, action: \"POP\" });\n };\n\n source.addEventListener(\"popstate\", popstateListener);\n\n return function () {\n source.removeEventListener(\"popstate\", popstateListener);\n listeners = listeners.filter(function (fn) {\n return fn !== listener;\n });\n };\n },\n navigate: function navigate(to) {\n var _ref = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {},\n state = _ref.state,\n _ref$replace = _ref.replace,\n replace = _ref$replace === undefined ? false : _ref$replace;\n\n if (typeof to === \"number\") {\n source.history.go(to);\n } else {\n state = _extends({}, state, { key: Date.now() + \"\" });\n // try...catch iOS Safari limits to 100 pushState calls\n try {\n if (transitioning || replace) {\n source.history.replaceState(state, null, to);\n } else {\n source.history.pushState(state, null, to);\n }\n } catch (e) {\n source.location[replace ? \"replace\" : \"assign\"](to);\n }\n }\n\n location = getLocation(source);\n transitioning = true;\n var transition = new Promise(function (res) {\n return resolveTransition = res;\n });\n listeners.forEach(function (listener) {\n return listener({ location: location, action: \"PUSH\" });\n });\n return transition;\n }\n };\n};\n\n////////////////////////////////////////////////////////////////////////////////\n// Stores history entries in memory for testing or other platforms like Native\nvar createMemorySource = function createMemorySource() {\n var initialPath = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : \"/\";\n\n var searchIndex = initialPath.indexOf(\"?\");\n var initialLocation = {\n pathname: searchIndex > -1 ? initialPath.substr(0, searchIndex) : initialPath,\n search: searchIndex > -1 ? initialPath.substr(searchIndex) : \"\"\n };\n var index = 0;\n var stack = [initialLocation];\n var states = [null];\n\n return {\n get location() {\n return stack[index];\n },\n addEventListener: function addEventListener(name, fn) {},\n removeEventListener: function removeEventListener(name, fn) {},\n\n history: {\n get entries() {\n return stack;\n },\n get index() {\n return index;\n },\n get state() {\n return states[index];\n },\n pushState: function pushState(state, _, uri) {\n var _uri$split = uri.split(\"?\"),\n pathname = _uri$split[0],\n _uri$split$ = _uri$split[1],\n search = _uri$split$ === undefined ? \"\" : _uri$split$;\n\n index++;\n stack.push({ pathname: pathname, search: search.length ? \"?\" + search : search });\n states.push(state);\n },\n replaceState: function replaceState(state, _, uri) {\n var _uri$split2 = uri.split(\"?\"),\n pathname = _uri$split2[0],\n _uri$split2$ = _uri$split2[1],\n search = _uri$split2$ === undefined ? \"\" : _uri$split2$;\n\n stack[index] = { pathname: pathname, search: search };\n states[index] = state;\n },\n go: function go(to) {\n var newIndex = index + to;\n\n if (newIndex < 0 || newIndex > states.length - 1) {\n return;\n }\n\n index = newIndex;\n }\n }\n };\n};\n\n////////////////////////////////////////////////////////////////////////////////\n// global history - uses window.history as the source if available, otherwise a\n// memory history\nvar canUseDOM = !!(typeof window !== \"undefined\" && window.document && window.document.createElement);\nvar getSource = function getSource() {\n return canUseDOM ? window : createMemorySource();\n};\n\nvar globalHistory = createHistory(getSource());\nvar navigate = globalHistory.navigate;\n\n////////////////////////////////////////////////////////////////////////////////\n\nexport { globalHistory, navigate, createHistory, createMemorySource };","\"use strict\";\n\nvar _interopRequireWildcard = require(\"@babel/runtime/helpers/interopRequireWildcard\");\n\nvar _interopRequireDefault = require(\"@babel/runtime/helpers/interopRequireDefault\");\n\nexports.__esModule = true;\nexports.ScrollHandler = exports.ScrollContext = void 0;\n\nvar _assertThisInitialized2 = _interopRequireDefault(require(\"@babel/runtime/helpers/assertThisInitialized\"));\n\nvar _inheritsLoose2 = _interopRequireDefault(require(\"@babel/runtime/helpers/inheritsLoose\"));\n\nvar React = _interopRequireWildcard(require(\"react\"));\n\nvar _propTypes = _interopRequireDefault(require(\"prop-types\"));\n\nvar _sessionStorage = require(\"./session-storage\");\n\nvar ScrollContext = /*#__PURE__*/React.createContext(new _sessionStorage.SessionStorage());\nexports.ScrollContext = ScrollContext;\nScrollContext.displayName = \"GatsbyScrollContext\";\n\nvar ScrollHandler = /*#__PURE__*/function (_React$Component) {\n (0, _inheritsLoose2.default)(ScrollHandler, _React$Component);\n\n function ScrollHandler() {\n var _this;\n\n for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n args[_key] = arguments[_key];\n }\n\n _this = _React$Component.call.apply(_React$Component, [this].concat(args)) || this;\n _this._stateStorage = new _sessionStorage.SessionStorage();\n\n _this.scrollListener = function () {\n var key = _this.props.location.key;\n\n if (key) {\n _this._stateStorage.save(_this.props.location, key, window.scrollY);\n }\n };\n\n _this.windowScroll = function (position, prevProps) {\n if (_this.shouldUpdateScroll(prevProps, _this.props)) {\n window.scrollTo(0, position);\n }\n };\n\n _this.scrollToHash = function (hash, prevProps) {\n var node = document.getElementById(hash.substring(1));\n\n if (node && _this.shouldUpdateScroll(prevProps, _this.props)) {\n node.scrollIntoView();\n }\n };\n\n _this.shouldUpdateScroll = function (prevRouterProps, routerProps) {\n var shouldUpdateScroll = _this.props.shouldUpdateScroll;\n\n if (!shouldUpdateScroll) {\n return true;\n } // Hack to allow accessing this._stateStorage.\n\n\n return shouldUpdateScroll.call((0, _assertThisInitialized2.default)(_this), prevRouterProps, routerProps);\n };\n\n return _this;\n }\n\n var _proto = ScrollHandler.prototype;\n\n _proto.componentDidMount = function componentDidMount() {\n window.addEventListener(\"scroll\", this.scrollListener);\n var scrollPosition;\n var _this$props$location = this.props.location,\n key = _this$props$location.key,\n hash = _this$props$location.hash;\n\n if (key) {\n scrollPosition = this._stateStorage.read(this.props.location, key);\n }\n\n if (scrollPosition) {\n this.windowScroll(scrollPosition, undefined);\n } else if (hash) {\n this.scrollToHash(decodeURI(hash), undefined);\n }\n };\n\n _proto.componentWillUnmount = function componentWillUnmount() {\n window.removeEventListener(\"scroll\", this.scrollListener);\n };\n\n _proto.componentDidUpdate = function componentDidUpdate(prevProps) {\n var _this$props$location2 = this.props.location,\n hash = _this$props$location2.hash,\n key = _this$props$location2.key;\n var scrollPosition;\n\n if (key) {\n scrollPosition = this._stateStorage.read(this.props.location, key);\n }\n /** There are two pieces of state: the browser url and\n * history state which keeps track of scroll position\n * Native behaviour prescribes that we ought to restore scroll position\n * when a user navigates back in their browser (this is the `POP` action)\n * Currently, reach router has a bug that prevents this at https://github.com/reach/router/issues/228\n * So we _always_ stick to the url as a source of truth — if the url\n * contains a hash, we scroll to it\n */\n\n\n if (hash) {\n this.scrollToHash(decodeURI(hash), prevProps);\n } else {\n this.windowScroll(scrollPosition, prevProps);\n }\n };\n\n _proto.render = function render() {\n return /*#__PURE__*/React.createElement(ScrollContext.Provider, {\n value: this._stateStorage\n }, this.props.children);\n };\n\n return ScrollHandler;\n}(React.Component);\n\nexports.ScrollHandler = ScrollHandler;\nScrollHandler.propTypes = {\n shouldUpdateScroll: _propTypes.default.func,\n children: _propTypes.default.element.isRequired,\n location: _propTypes.default.object.isRequired\n};","import React, { createElement } from \"react\"\nimport PropTypes from \"prop-types\"\nimport { publicLoader } from \"./loader\"\nimport { apiRunner } from \"./api-runner-browser\"\nimport { grabMatchParams } from \"./find-path\"\n\n// Renders page\nclass PageRenderer extends React.Component {\n render() {\n const props = {\n ...this.props,\n params: {\n ...grabMatchParams(this.props.location.pathname),\n ...this.props.pageResources.json.pageContext.__params,\n },\n pathContext: this.props.pageContext,\n }\n\n const [replacementElement] = apiRunner(`replaceComponentRenderer`, {\n props: this.props,\n loader: publicLoader,\n })\n\n const pageElement =\n replacementElement ||\n createElement(this.props.pageResources.component, {\n ...props,\n key: this.props.path || this.props.pageResources.page.path,\n })\n\n const wrappedPage = apiRunner(\n `wrapPageElement`,\n { element: pageElement, props },\n pageElement,\n ({ result }) => {\n return { element: result, props }\n }\n ).pop()\n\n return wrappedPage\n }\n}\n\nPageRenderer.propTypes = {\n location: PropTypes.object.isRequired,\n pageResources: PropTypes.object.isRequired,\n data: PropTypes.object,\n pageContext: PropTypes.object.isRequired,\n}\n\nexport default PageRenderer\n","import invariant from \"invariant\";\n\n////////////////////////////////////////////////////////////////////////////////\n// startsWith(string, search) - Check if `string` starts with `search`\nvar startsWith = function startsWith(string, search) {\n return string.substr(0, search.length) === search;\n};\n\n////////////////////////////////////////////////////////////////////////////////\n// pick(routes, uri)\n//\n// Ranks and picks the best route to match. Each segment gets the highest\n// amount of points, then the type of segment gets an additional amount of\n// points where\n//\n// static > dynamic > splat > root\n//\n// This way we don't have to worry about the order of our routes, let the\n// computers do it.\n//\n// A route looks like this\n//\n// { path, default, value }\n//\n// And a returned match looks like:\n//\n// { route, params, uri }\n//\n// I know, I should use TypeScript not comments for these types.\nvar pick = function pick(routes, uri) {\n var match = void 0;\n var default_ = void 0;\n\n var _uri$split = uri.split(\"?\"),\n uriPathname = _uri$split[0];\n\n var uriSegments = segmentize(uriPathname);\n var isRootUri = uriSegments[0] === \"\";\n var ranked = rankRoutes(routes);\n\n for (var i = 0, l = ranked.length; i < l; i++) {\n var missed = false;\n var route = ranked[i].route;\n\n if (route.default) {\n default_ = {\n route: route,\n params: {},\n uri: uri\n };\n continue;\n }\n\n var routeSegments = segmentize(route.path);\n var params = {};\n var max = Math.max(uriSegments.length, routeSegments.length);\n var index = 0;\n\n for (; index < max; index++) {\n var routeSegment = routeSegments[index];\n var uriSegment = uriSegments[index];\n\n if (isSplat(routeSegment)) {\n // Hit a splat, just grab the rest, and return a match\n // uri: /files/documents/work\n // route: /files/*\n var param = routeSegment.slice(1) || \"*\";\n params[param] = uriSegments.slice(index).map(decodeURIComponent).join(\"/\");\n break;\n }\n\n if (uriSegment === undefined) {\n // URI is shorter than the route, no match\n // uri: /users\n // route: /users/:userId\n missed = true;\n break;\n }\n\n var dynamicMatch = paramRe.exec(routeSegment);\n\n if (dynamicMatch && !isRootUri) {\n var matchIsNotReserved = reservedNames.indexOf(dynamicMatch[1]) === -1;\n !matchIsNotReserved ? process.env.NODE_ENV !== \"production\" ? invariant(false, \" dynamic segment \\\"\" + dynamicMatch[1] + \"\\\" is a reserved name. Please use a different name in path \\\"\" + route.path + \"\\\".\") : invariant(false) : void 0;\n var value = decodeURIComponent(uriSegment);\n params[dynamicMatch[1]] = value;\n } else if (routeSegment !== uriSegment) {\n // Current segments don't match, not dynamic, not splat, so no match\n // uri: /users/123/settings\n // route: /users/:id/profile\n missed = true;\n break;\n }\n }\n\n if (!missed) {\n match = {\n route: route,\n params: params,\n uri: \"/\" + uriSegments.slice(0, index).join(\"/\")\n };\n break;\n }\n }\n\n return match || default_ || null;\n};\n\n////////////////////////////////////////////////////////////////////////////////\n// match(path, uri) - Matches just one path to a uri, also lol\nvar match = function match(path, uri) {\n return pick([{ path: path }], uri);\n};\n\n////////////////////////////////////////////////////////////////////////////////\n// resolve(to, basepath)\n//\n// Resolves URIs as though every path is a directory, no files. Relative URIs\n// in the browser can feel awkward because not only can you be \"in a directory\"\n// you can be \"at a file\", too. For example\n//\n// browserSpecResolve('foo', '/bar/') => /bar/foo\n// browserSpecResolve('foo', '/bar') => /foo\n//\n// But on the command line of a file system, it's not as complicated, you can't\n// `cd` from a file, only directories. This way, links have to know less about\n// their current path. To go deeper you can do this:\n//\n// \n// // instead of\n// \n//\n// Just like `cd`, if you want to go deeper from the command line, you do this:\n//\n// cd deeper\n// # not\n// cd $(pwd)/deeper\n//\n// By treating every path as a directory, linking to relative paths should\n// require less contextual information and (fingers crossed) be more intuitive.\nvar resolve = function resolve(to, base) {\n // /foo/bar, /baz/qux => /foo/bar\n if (startsWith(to, \"/\")) {\n return to;\n }\n\n var _to$split = to.split(\"?\"),\n toPathname = _to$split[0],\n toQuery = _to$split[1];\n\n var _base$split = base.split(\"?\"),\n basePathname = _base$split[0];\n\n var toSegments = segmentize(toPathname);\n var baseSegments = segmentize(basePathname);\n\n // ?a=b, /users?b=c => /users?a=b\n if (toSegments[0] === \"\") {\n return addQuery(basePathname, toQuery);\n }\n\n // profile, /users/789 => /users/789/profile\n if (!startsWith(toSegments[0], \".\")) {\n var pathname = baseSegments.concat(toSegments).join(\"/\");\n return addQuery((basePathname === \"/\" ? \"\" : \"/\") + pathname, toQuery);\n }\n\n // ./ /users/123 => /users/123\n // ../ /users/123 => /users\n // ../.. /users/123 => /\n // ../../one /a/b/c/d => /a/b/one\n // .././one /a/b/c/d => /a/b/c/one\n var allSegments = baseSegments.concat(toSegments);\n var segments = [];\n for (var i = 0, l = allSegments.length; i < l; i++) {\n var segment = allSegments[i];\n if (segment === \"..\") segments.pop();else if (segment !== \".\") segments.push(segment);\n }\n\n return addQuery(\"/\" + segments.join(\"/\"), toQuery);\n};\n\n////////////////////////////////////////////////////////////////////////////////\n// insertParams(path, params)\n\nvar insertParams = function insertParams(path, params) {\n var _path$split = path.split(\"?\"),\n pathBase = _path$split[0],\n _path$split$ = _path$split[1],\n query = _path$split$ === undefined ? \"\" : _path$split$;\n\n var segments = segmentize(pathBase);\n var constructedPath = \"/\" + segments.map(function (segment) {\n var match = paramRe.exec(segment);\n return match ? params[match[1]] : segment;\n }).join(\"/\");\n var _params$location = params.location;\n _params$location = _params$location === undefined ? {} : _params$location;\n var _params$location$sear = _params$location.search,\n search = _params$location$sear === undefined ? \"\" : _params$location$sear;\n\n var searchSplit = search.split(\"?\")[1] || \"\";\n constructedPath = addQuery(constructedPath, query, searchSplit);\n return constructedPath;\n};\n\nvar validateRedirect = function validateRedirect(from, to) {\n var filter = function filter(segment) {\n return isDynamic(segment);\n };\n var fromString = segmentize(from).filter(filter).sort().join(\"/\");\n var toString = segmentize(to).filter(filter).sort().join(\"/\");\n return fromString === toString;\n};\n\n////////////////////////////////////////////////////////////////////////////////\n// Junk\nvar paramRe = /^:(.+)/;\n\nvar SEGMENT_POINTS = 4;\nvar STATIC_POINTS = 3;\nvar DYNAMIC_POINTS = 2;\nvar SPLAT_PENALTY = 1;\nvar ROOT_POINTS = 1;\n\nvar isRootSegment = function isRootSegment(segment) {\n return segment === \"\";\n};\nvar isDynamic = function isDynamic(segment) {\n return paramRe.test(segment);\n};\nvar isSplat = function isSplat(segment) {\n return segment && segment[0] === \"*\";\n};\n\nvar rankRoute = function rankRoute(route, index) {\n var score = route.default ? 0 : segmentize(route.path).reduce(function (score, segment) {\n score += SEGMENT_POINTS;\n if (isRootSegment(segment)) score += ROOT_POINTS;else if (isDynamic(segment)) score += DYNAMIC_POINTS;else if (isSplat(segment)) score -= SEGMENT_POINTS + SPLAT_PENALTY;else score += STATIC_POINTS;\n return score;\n }, 0);\n return { route: route, score: score, index: index };\n};\n\nvar rankRoutes = function rankRoutes(routes) {\n return routes.map(rankRoute).sort(function (a, b) {\n return a.score < b.score ? 1 : a.score > b.score ? -1 : a.index - b.index;\n });\n};\n\nvar segmentize = function segmentize(uri) {\n return uri\n // strip starting/ending slashes\n .replace(/(^\\/+|\\/+$)/g, \"\").split(\"/\");\n};\n\nvar addQuery = function addQuery(pathname) {\n for (var _len = arguments.length, query = Array(_len > 1 ? _len - 1 : 0), _key = 1; _key < _len; _key++) {\n query[_key - 1] = arguments[_key];\n }\n\n query = query.filter(function (q) {\n return q && q.length > 0;\n });\n return pathname + (query && query.length > 0 ? \"?\" + query.join(\"&\") : \"\");\n};\n\nvar reservedNames = [\"uri\", \"path\"];\n\n/**\n * Shallow compares two objects.\n * @param {Object} obj1 The first object to compare.\n * @param {Object} obj2 The second object to compare.\n */\nvar shallowCompare = function shallowCompare(obj1, obj2) {\n var obj1Keys = Object.keys(obj1);\n return obj1Keys.length === Object.keys(obj2).length && obj1Keys.every(function (key) {\n return obj2.hasOwnProperty(key) && obj1[key] === obj2[key];\n });\n};\n\n////////////////////////////////////////////////////////////////////////////////\nexport { startsWith, pick, match, resolve, insertParams, validateRedirect, shallowCompare };","module.exports = [{\n plugin: require('../node_modules/gatsby-remark-images/gatsby-browser.js'),\n options: {\"plugins\":[],\"maxWidth\":800,\"linkImagesToOriginal\":true,\"showCaptions\":false,\"markdownCaptions\":false,\"sizeByPixelDensity\":false,\"backgroundColor\":\"white\",\"quality\":50,\"withWebp\":false,\"tracedSVG\":false,\"loading\":\"lazy\",\"disableBgImageOnAlpha\":false,\"disableBgImage\":false},\n }]\n","/*!\n * domready (c) Dustin Diaz 2014 - License MIT\n * ie10 fix - Mikael Kristiansson 2019\n */\n!(function(name, definition) {\n if (typeof module != \"undefined\") module.exports = definition();\n else if (typeof define == \"function\" && typeof define.amd == \"object\")\n define(definition);\n else this[name] = definition();\n})(\"domready\", function() {\n var ie10 = false;\n if (navigator.appVersion.indexOf(\"MSIE 10\") !== -1) {\n ie10 = true;\n }\n\n var fns = [],\n listener,\n doc = typeof document === \"object\" && document,\n hack = ie10\n ? doc.documentElement.doScroll(\"left\")\n : doc.documentElement.doScroll,\n domContentLoaded = \"DOMContentLoaded\",\n loaded =\n doc && (hack ? /^loaded|^c/ : /^loaded|^i|^c/).test(doc.readyState);\n\n if (!loaded && doc)\n doc.addEventListener(\n domContentLoaded,\n (listener = function() {\n doc.removeEventListener(domContentLoaded, listener);\n loaded = 1;\n while ((listener = fns.shift())) listener();\n })\n );\n\n return function(fn) {\n loaded ? setTimeout(fn, 0) : fns.push(fn);\n };\n});\n","import { apiRunner } from \"./api-runner-browser\"\n\nif (\n window.location.protocol !== `https:` &&\n window.location.hostname !== `localhost`\n) {\n console.error(\n `Service workers can only be used over HTTPS, or on localhost for development`\n )\n} else if (`serviceWorker` in navigator) {\n navigator.serviceWorker\n .register(`${__BASE_PATH__}/sw.js`)\n .then(function (reg) {\n reg.addEventListener(`updatefound`, () => {\n apiRunner(`onServiceWorkerUpdateFound`, { serviceWorker: reg })\n // The updatefound event implies that reg.installing is set; see\n // https://w3c.github.io/ServiceWorker/#service-worker-registration-updatefound-event\n const installingWorker = reg.installing\n console.log(`installingWorker`, installingWorker)\n installingWorker.addEventListener(`statechange`, () => {\n switch (installingWorker.state) {\n case `installed`:\n if (navigator.serviceWorker.controller) {\n // At this point, the old content will have been purged and the fresh content will\n // have been added to the cache.\n\n // We set a flag so Gatsby Link knows to refresh the page on next navigation attempt\n window.___swUpdated = true\n // We call the onServiceWorkerUpdateReady API so users can show update prompts.\n apiRunner(`onServiceWorkerUpdateReady`, { serviceWorker: reg })\n\n // If resources failed for the current page, reload.\n if (window.___failedResources) {\n console.log(`resources failed, SW updated - reloading`)\n window.location.reload()\n }\n } else {\n // At this point, everything has been precached.\n // It's the perfect time to display a \"Content is cached for offline use.\" message.\n console.log(`Content is now available offline!`)\n\n // Post to service worker that install is complete.\n // Delay to allow time for the event listener to be added --\n // otherwise fetch is called too soon and resources aren't cached.\n apiRunner(`onServiceWorkerInstalled`, { serviceWorker: reg })\n }\n break\n\n case `redundant`:\n console.error(`The installing service worker became redundant.`)\n apiRunner(`onServiceWorkerRedundant`, { serviceWorker: reg })\n break\n\n case `activated`:\n apiRunner(`onServiceWorkerActive`, { serviceWorker: reg })\n break\n }\n })\n })\n })\n .catch(function (e) {\n console.error(`Error during service worker registration:`, e)\n })\n}\n","// prefer default export if available\nconst preferDefault = m => (m && m.default) || m\n\nexports.components = {\n \"component---src-pages-404-js\": () => import(\"./../../../src/pages/404.js\" /* webpackChunkName: \"component---src-pages-404-js\" */),\n \"component---src-pages-contact-js\": () => import(\"./../../../src/pages/contact.js\" /* webpackChunkName: \"component---src-pages-contact-js\" */),\n \"component---src-pages-event-js\": () => import(\"./../../../src/pages/event.js\" /* webpackChunkName: \"component---src-pages-event-js\" */),\n \"component---src-pages-index-js\": () => import(\"./../../../src/pages/index.js\" /* webpackChunkName: \"component---src-pages-index-js\" */),\n \"component---src-pages-news-js\": () => import(\"./../../../src/pages/news.js\" /* webpackChunkName: \"component---src-pages-news-js\" */),\n \"component---src-pages-people-js\": () => import(\"./../../../src/pages/people.js\" /* webpackChunkName: \"component---src-pages-people-js\" */),\n \"component---src-pages-phd-courses-js\": () => import(\"./../../../src/pages/phd-courses.js\" /* webpackChunkName: \"component---src-pages-phd-courses-js\" */),\n \"component---src-pages-publication-js\": () => import(\"./../../../src/pages/publication.js\" /* webpackChunkName: \"component---src-pages-publication-js\" */),\n \"component---src-pages-recruitment-js\": () => import(\"./../../../src/pages/recruitment.js\" /* webpackChunkName: \"component---src-pages-recruitment-js\" */),\n \"component---src-pages-research-js\": () => import(\"./../../../src/pages/research.js\" /* webpackChunkName: \"component---src-pages-research-js\" */),\n \"component---src-templates-conference-template-js\": () => import(\"./../../../src/templates/conferenceTemplate.js\" /* webpackChunkName: \"component---src-templates-conference-template-js\" */),\n \"component---src-templates-course-template-js\": () => import(\"./../../../src/templates/courseTemplate.js\" /* webpackChunkName: \"component---src-templates-course-template-js\" */),\n \"component---src-templates-defences-template-js\": () => import(\"./../../../src/templates/defencesTemplate.js\" /* webpackChunkName: \"component---src-templates-defences-template-js\" */),\n \"component---src-templates-markdown-template-js\": () => import(\"./../../../src/templates/markdownTemplate.js\" /* webpackChunkName: \"component---src-templates-markdown-template-js\" */),\n \"component---src-templates-news-template-js\": () => import(\"./../../../src/templates/newsTemplate.js\" /* webpackChunkName: \"component---src-templates-news-template-js\" */),\n \"component---src-templates-recruitments-template-js\": () => import(\"./../../../src/templates/recruitmentsTemplate.js\" /* webpackChunkName: \"component---src-templates-recruitments-template-js\" */),\n \"component---src-templates-seminar-template-js\": () => import(\"./../../../src/templates/seminarTemplate.js\" /* webpackChunkName: \"component---src-templates-seminar-template-js\" */),\n \"component---src-templates-staff-template-js\": () => import(\"./../../../src/templates/staffTemplate.js\" /* webpackChunkName: \"component---src-templates-staff-template-js\" */),\n \"component---src-templates-workshop-template-js\": () => import(\"./../../../src/templates/workshopTemplate.js\" /* webpackChunkName: \"component---src-templates-workshop-template-js\" */)\n}\n\n","function _assertThisInitialized(self) {\n if (self === void 0) {\n throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\");\n }\n return self;\n}\nmodule.exports = _assertThisInitialized, module.exports.__esModule = true, module.exports[\"default\"] = module.exports;","/**\n * Copyright (c) 2013-present, Facebook, Inc.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n'use strict';\n\n/**\n * Use invariant() to assert state which your program assumes to be true.\n *\n * Provide sprintf-style format (only %s is supported) and arguments\n * to provide information about what broke and what you were\n * expecting.\n *\n * The invariant message will be stripped in production, but the invariant\n * will remain to ensure logic does not differ in production.\n */\n\nvar invariant = function(condition, format, a, b, c, d, e, f) {\n if (process.env.NODE_ENV !== 'production') {\n if (format === undefined) {\n throw new Error('invariant requires an error message argument');\n }\n }\n\n if (!condition) {\n var error;\n if (format === undefined) {\n error = new Error(\n 'Minified exception occurred; use the non-minified dev environment ' +\n 'for the full error message and additional helpful warnings.'\n );\n } else {\n var args = [a, b, c, d, e, f];\n var argIndex = 0;\n error = new Error(\n format.replace(/%s/g, function() { return args[argIndex++]; })\n );\n error.name = 'Invariant Violation';\n }\n\n error.framesToPop = 1; // we don't care about invariant's own frame\n throw error;\n }\n};\n\nmodule.exports = invariant;\n","function _setPrototypeOf(o, p) {\n module.exports = _setPrototypeOf = Object.setPrototypeOf ? Object.setPrototypeOf.bind() : function _setPrototypeOf(o, p) {\n o.__proto__ = p;\n return o;\n }, module.exports.__esModule = true, module.exports[\"default\"] = module.exports;\n return _setPrototypeOf(o, p);\n}\nmodule.exports = _setPrototypeOf, module.exports.__esModule = true, module.exports[\"default\"] = module.exports;","function _interopRequireDefault(obj) {\n return obj && obj.__esModule ? obj : {\n \"default\": obj\n };\n}\nmodule.exports = _interopRequireDefault, module.exports.__esModule = true, module.exports[\"default\"] = module.exports;","// This is extracted to separate module because it's shared\n// between browser and SSR code\nexport const RouteAnnouncerProps = {\n id: `gatsby-announcer`,\n style: {\n position: `absolute`,\n top: 0,\n width: 1,\n height: 1,\n padding: 0,\n overflow: `hidden`,\n clip: `rect(0, 0, 0, 0)`,\n whiteSpace: `nowrap`,\n border: 0,\n },\n \"aria-live\": `assertive`,\n \"aria-atomic\": `true`,\n}\n","import React from \"react\"\nimport PropTypes from \"prop-types\"\nimport loader, { PageResourceStatus } from \"./loader\"\nimport redirects from \"./redirects.json\"\nimport { apiRunner } from \"./api-runner-browser\"\nimport emitter from \"./emitter\"\nimport { RouteAnnouncerProps } from \"./route-announcer-props\"\nimport { navigate as reachNavigate } from \"@reach/router\"\nimport { globalHistory } from \"@reach/router/lib/history\"\nimport { parsePath } from \"gatsby-link\"\n\n// Convert to a map for faster lookup in maybeRedirect()\n\nconst redirectMap = new Map()\nconst redirectIgnoreCaseMap = new Map()\n\nredirects.forEach(redirect => {\n if (redirect.ignoreCase) {\n redirectIgnoreCaseMap.set(redirect.fromPath, redirect)\n } else {\n redirectMap.set(redirect.fromPath, redirect)\n }\n})\n\nfunction maybeRedirect(pathname) {\n let redirect = redirectMap.get(pathname)\n if (!redirect) {\n redirect = redirectIgnoreCaseMap.get(pathname.toLowerCase())\n }\n\n if (redirect != null) {\n if (process.env.NODE_ENV !== `production`) {\n if (!loader.isPageNotFound(pathname)) {\n console.error(\n `The route \"${pathname}\" matches both a page and a redirect; this is probably not intentional.`\n )\n }\n }\n\n window.___replace(redirect.toPath)\n return true\n } else {\n return false\n }\n}\n\nconst onPreRouteUpdate = (location, prevLocation) => {\n if (!maybeRedirect(location.pathname)) {\n apiRunner(`onPreRouteUpdate`, { location, prevLocation })\n }\n}\n\nconst onRouteUpdate = (location, prevLocation) => {\n if (!maybeRedirect(location.pathname)) {\n apiRunner(`onRouteUpdate`, { location, prevLocation })\n if (\n process.env.GATSBY_EXPERIMENTAL_QUERY_ON_DEMAND &&\n process.env.GATSBY_QUERY_ON_DEMAND_LOADING_INDICATOR === `true`\n ) {\n emitter.emit(`onRouteUpdate`, { location, prevLocation })\n }\n }\n}\n\nconst navigate = (to, options = {}) => {\n // Support forward/backward navigation with numbers\n // navigate(-2) (jumps back 2 history steps)\n // navigate(2) (jumps forward 2 history steps)\n if (typeof to === `number`) {\n globalHistory.navigate(to)\n return\n }\n\n let { pathname } = parsePath(to)\n let redirect = redirectMap.get(pathname)\n if (!redirect) {\n redirect = redirectIgnoreCaseMap.get(pathname.toLowerCase())\n }\n\n // If we're redirecting, just replace the passed in pathname\n // to the one we want to redirect to.\n if (redirect) {\n to = redirect.toPath\n pathname = parsePath(to).pathname\n }\n\n // If we had a service worker update, no matter the path, reload window and\n // reset the pathname whitelist\n if (window.___swUpdated) {\n window.location = pathname\n return\n }\n\n // Start a timer to wait for a second before transitioning and showing a\n // loader in case resources aren't around yet.\n const timeoutId = setTimeout(() => {\n emitter.emit(`onDelayedLoadPageResources`, { pathname })\n apiRunner(`onRouteUpdateDelayed`, {\n location: window.location,\n })\n }, 1000)\n\n loader.loadPage(pathname).then(pageResources => {\n // If no page resources, then refresh the page\n // Do this, rather than simply `window.location.reload()`, so that\n // pressing the back/forward buttons work - otherwise when pressing\n // back, the browser will just change the URL and expect JS to handle\n // the change, which won't always work since it might not be a Gatsby\n // page.\n if (!pageResources || pageResources.status === PageResourceStatus.Error) {\n window.history.replaceState({}, ``, location.href)\n window.location = pathname\n clearTimeout(timeoutId)\n return\n }\n\n // If the loaded page has a different compilation hash to the\n // window, then a rebuild has occurred on the server. Reload.\n if (process.env.NODE_ENV === `production` && pageResources) {\n if (\n pageResources.page.webpackCompilationHash !==\n window.___webpackCompilationHash\n ) {\n // Purge plugin-offline cache\n if (\n `serviceWorker` in navigator &&\n navigator.serviceWorker.controller !== null &&\n navigator.serviceWorker.controller.state === `activated`\n ) {\n navigator.serviceWorker.controller.postMessage({\n gatsbyApi: `clearPathResources`,\n })\n }\n\n window.location = pathname\n }\n }\n reachNavigate(to, options)\n clearTimeout(timeoutId)\n })\n}\n\nfunction shouldUpdateScroll(prevRouterProps, { location }) {\n const { pathname, hash } = location\n const results = apiRunner(`shouldUpdateScroll`, {\n prevRouterProps,\n // `pathname` for backwards compatibility\n pathname,\n routerProps: { location },\n getSavedScrollPosition: args => [\n 0,\n this._stateStorage.read(args, args.key),\n ],\n })\n if (results.length > 0) {\n // Use the latest registered shouldUpdateScroll result, this allows users to override plugin's configuration\n // @see https://github.com/gatsbyjs/gatsby/issues/12038\n return results[results.length - 1]\n }\n\n if (prevRouterProps) {\n const {\n location: { pathname: oldPathname },\n } = prevRouterProps\n if (oldPathname === pathname) {\n // Scroll to element if it exists, if it doesn't, or no hash is provided,\n // scroll to top.\n return hash ? decodeURI(hash.slice(1)) : [0, 0]\n }\n }\n return true\n}\n\nfunction init() {\n // The \"scroll-behavior\" package expects the \"action\" to be on the location\n // object so let's copy it over.\n globalHistory.listen(args => {\n args.location.action = args.action\n })\n\n window.___push = to => navigate(to, { replace: false })\n window.___replace = to => navigate(to, { replace: true })\n window.___navigate = (to, options) => navigate(to, options)\n\n // Check for initial page-load redirect\n maybeRedirect(window.location.pathname)\n}\n\nclass RouteAnnouncer extends React.Component {\n constructor(props) {\n super(props)\n this.announcementRef = React.createRef()\n }\n\n componentDidUpdate(prevProps, nextProps) {\n requestAnimationFrame(() => {\n let pageName = `new page at ${this.props.location.pathname}`\n if (document.title) {\n pageName = document.title\n }\n const pageHeadings = document.querySelectorAll(`#gatsby-focus-wrapper h1`)\n if (pageHeadings && pageHeadings.length) {\n pageName = pageHeadings[0].textContent\n }\n const newAnnouncement = `Navigated to ${pageName}`\n if (this.announcementRef.current) {\n const oldAnnouncement = this.announcementRef.current.innerText\n if (oldAnnouncement !== newAnnouncement) {\n this.announcementRef.current.innerText = newAnnouncement\n }\n }\n })\n }\n\n render() {\n return \n }\n}\n\nconst compareLocationProps = (prevLocation, nextLocation) => {\n if (prevLocation.href !== nextLocation.href) {\n return true\n }\n\n if (prevLocation?.state?.key !== nextLocation?.state?.key) {\n return true\n }\n\n return false\n}\n\n// Fire on(Pre)RouteUpdate APIs\nclass RouteUpdates extends React.Component {\n constructor(props) {\n super(props)\n onPreRouteUpdate(props.location, null)\n }\n\n componentDidMount() {\n onRouteUpdate(this.props.location, null)\n }\n\n shouldComponentUpdate(prevProps) {\n if (compareLocationProps(prevProps.location, this.props.location)) {\n onPreRouteUpdate(this.props.location, prevProps.location)\n return true\n }\n return false\n }\n\n componentDidUpdate(prevProps) {\n if (compareLocationProps(prevProps.location, this.props.location)) {\n onRouteUpdate(this.props.location, prevProps.location)\n }\n }\n\n render() {\n return (\n \n {this.props.children}\n \n \n )\n }\n}\n\nRouteUpdates.propTypes = {\n location: PropTypes.object.isRequired,\n}\n\nexport { init, shouldUpdateScroll, RouteUpdates }\n","// Pulled from react-compat\n// https://github.com/developit/preact-compat/blob/7c5de00e7c85e2ffd011bf3af02899b63f699d3a/src/index.js#L349\nfunction shallowDiffers(a, b) {\n for (var i in a) {\n if (!(i in b)) return true;\n }for (var _i in b) {\n if (a[_i] !== b[_i]) return true;\n }return false;\n}\n\nexport default (function (instance, nextProps, nextState) {\n return shallowDiffers(instance.props, nextProps) || shallowDiffers(instance.state, nextState);\n});","import React from \"react\"\nimport loader, { PageResourceStatus } from \"./loader\"\nimport shallowCompare from \"shallow-compare\"\n\nclass EnsureResources extends React.Component {\n constructor(props) {\n super()\n const { location, pageResources } = props\n this.state = {\n location: { ...location },\n pageResources: pageResources || loader.loadPageSync(location.pathname),\n }\n }\n\n static getDerivedStateFromProps({ location }, prevState) {\n if (prevState.location.href !== location.href) {\n const pageResources = loader.loadPageSync(location.pathname)\n return {\n pageResources,\n location: { ...location },\n }\n }\n\n return {\n location: { ...location },\n }\n }\n\n loadResources(rawPath) {\n loader.loadPage(rawPath).then(pageResources => {\n if (pageResources && pageResources.status !== PageResourceStatus.Error) {\n this.setState({\n location: { ...window.location },\n pageResources,\n })\n } else {\n window.history.replaceState({}, ``, location.href)\n window.location = rawPath\n }\n })\n }\n\n shouldComponentUpdate(nextProps, nextState) {\n // Always return false if we're missing resources.\n if (!nextState.pageResources) {\n this.loadResources(nextProps.location.pathname)\n return false\n }\n\n if (\n process.env.BUILD_STAGE === `develop` &&\n nextState.pageResources.stale\n ) {\n this.loadResources(nextProps.location.pathname)\n return false\n }\n\n // Check if the component or json have changed.\n if (this.state.pageResources !== nextState.pageResources) {\n return true\n }\n if (\n this.state.pageResources.component !== nextState.pageResources.component\n ) {\n return true\n }\n\n if (this.state.pageResources.json !== nextState.pageResources.json) {\n return true\n }\n // Check if location has changed on a page using internal routing\n // via matchPath configuration.\n if (\n this.state.location.key !== nextState.location.key &&\n nextState.pageResources.page &&\n (nextState.pageResources.page.matchPath ||\n nextState.pageResources.page.path)\n ) {\n return true\n }\n return shallowCompare(this, nextProps, nextState)\n }\n\n render() {\n if (process.env.NODE_ENV !== `production` && !this.state.pageResources) {\n throw new Error(\n `EnsureResources was not able to find resources for path: \"${this.props.location.pathname}\"\nThis typically means that an issue occurred building components for that path.\nRun \\`gatsby clean\\` to remove any cached elements.`\n )\n }\n\n return this.props.children(this.state)\n }\n}\n\nexport default EnsureResources\n","import { apiRunner, apiRunnerAsync } from \"./api-runner-browser\"\nimport React from \"react\"\nimport ReactDOM from \"react-dom\"\nimport { Router, navigate, Location, BaseContext } from \"@reach/router\"\nimport { ScrollContext } from \"gatsby-react-router-scroll\"\nimport domReady from \"@mikaelkristiansson/domready\"\nimport { StaticQueryContext } from \"gatsby\"\nimport {\n shouldUpdateScroll,\n init as navigationInit,\n RouteUpdates,\n} from \"./navigation\"\nimport emitter from \"./emitter\"\nimport PageRenderer from \"./page-renderer\"\nimport asyncRequires from \"$virtual/async-requires\"\nimport {\n setLoader,\n ProdLoader,\n publicLoader,\n PageResourceStatus,\n getStaticQueryResults,\n} from \"./loader\"\nimport EnsureResources from \"./ensure-resources\"\nimport stripPrefix from \"./strip-prefix\"\n\n// Generated during bootstrap\nimport matchPaths from \"$virtual/match-paths.json\"\n\nconst loader = new ProdLoader(asyncRequires, matchPaths)\nsetLoader(loader)\nloader.setApiRunner(apiRunner)\n\nwindow.asyncRequires = asyncRequires\nwindow.___emitter = emitter\nwindow.___loader = publicLoader\n\nnavigationInit()\n\napiRunnerAsync(`onClientEntry`).then(() => {\n // Let plugins register a service worker. The plugin just needs\n // to return true.\n if (apiRunner(`registerServiceWorker`).length > 0) {\n require(`./register-service-worker`)\n }\n\n // In gatsby v2 if Router is used in page using matchPaths\n // paths need to contain full path.\n // For example:\n // - page have `/app/*` matchPath\n // - inside template user needs to use `/app/xyz` as path\n // Resetting `basepath`/`baseuri` keeps current behaviour\n // to not introduce breaking change.\n // Remove this in v3\n const RouteHandler = props => (\n \n \n \n )\n\n const DataContext = React.createContext({})\n\n class GatsbyRoot extends React.Component {\n render() {\n const { children } = this.props\n return (\n \n {({ location }) => (\n \n {({ pageResources, location }) => {\n const staticQueryResults = getStaticQueryResults()\n return (\n \n \n {children}\n \n \n )\n }}\n \n )}\n \n )\n }\n }\n\n class LocationHandler extends React.Component {\n render() {\n return (\n \n {({ pageResources, location }) => (\n \n \n \n \n \n \n \n )}\n \n )\n }\n }\n\n const { pagePath, location: browserLoc } = window\n\n // Explicitly call navigate if the canonical path (window.pagePath)\n // is different to the browser path (window.location.pathname). But\n // only if NONE of the following conditions hold:\n //\n // - The url matches a client side route (page.matchPath)\n // - it's a 404 page\n // - it's the offline plugin shell (/offline-plugin-app-shell-fallback/)\n if (\n pagePath &&\n __BASE_PATH__ + pagePath !== browserLoc.pathname &&\n !(\n loader.findMatchPath(stripPrefix(browserLoc.pathname, __BASE_PATH__)) ||\n pagePath === `/404.html` ||\n pagePath.match(/^\\/404\\/?$/) ||\n pagePath.match(/^\\/offline-plugin-app-shell-fallback\\/?$/)\n )\n ) {\n navigate(__BASE_PATH__ + pagePath + browserLoc.search + browserLoc.hash, {\n replace: true,\n })\n }\n\n publicLoader.loadPage(browserLoc.pathname).then(page => {\n if (!page || page.status === PageResourceStatus.Error) {\n throw new Error(\n `page resources for ${browserLoc.pathname} not found. Not rendering React`\n )\n }\n\n window.___webpackCompilationHash = page.page.webpackCompilationHash\n\n const SiteRoot = apiRunner(\n `wrapRootElement`,\n { element: },\n ,\n ({ result }) => {\n return { element: result }\n }\n ).pop()\n\n const App = () => {SiteRoot}\n\n const renderer = apiRunner(\n `replaceHydrateFunction`,\n undefined,\n ReactDOM.hydrate\n )[0]\n\n domReady(() => {\n renderer(\n ,\n typeof window !== `undefined`\n ? document.getElementById(`___gatsby`)\n : void 0,\n () => {\n apiRunner(`onInitialClientRender`)\n }\n )\n })\n })\n})\n","var setPrototypeOf = require(\"./setPrototypeOf.js\");\nfunction _inheritsLoose(subClass, superClass) {\n subClass.prototype = Object.create(superClass.prototype);\n subClass.prototype.constructor = subClass;\n setPrototypeOf(subClass, superClass);\n}\nmodule.exports = _inheritsLoose, module.exports.__esModule = true, module.exports[\"default\"] = module.exports;","import React from \"react\"\nimport PropTypes from \"prop-types\"\nimport Link, {\n withPrefix,\n withAssetPrefix,\n navigate,\n push,\n replace,\n navigateTo,\n parsePath,\n} from \"gatsby-link\"\nimport { useScrollRestoration } from \"gatsby-react-router-scroll\"\nimport PageRenderer from \"./public-page-renderer\"\nimport loader from \"./loader\"\n\nconst prefetchPathname = loader.enqueue\n\nconst StaticQueryContext = React.createContext({})\n\nfunction StaticQueryDataRenderer({ staticQueryData, data, query, render }) {\n const finalData = data\n ? data.data\n : staticQueryData[query] && staticQueryData[query].data\n\n return (\n \n {finalData && render(finalData)}\n {!finalData &&
Loading (StaticQuery)
}\n \n )\n}\n\nconst StaticQuery = props => {\n const { data, query, render, children } = props\n\n return (\n \n {staticQueryData => (\n \n )}\n \n )\n}\n\nconst useStaticQuery = query => {\n if (\n typeof React.useContext !== `function` &&\n process.env.NODE_ENV === `development`\n ) {\n throw new Error(\n `You're likely using a version of React that doesn't support Hooks\\n` +\n `Please update React and ReactDOM to 16.8.0 or later to use the useStaticQuery hook.`\n )\n }\n const context = React.useContext(StaticQueryContext)\n\n // query is a stringified number like `3303882` when wrapped with graphql, If a user forgets\n // to wrap the query in a grqphql, then casting it to a Number results in `NaN` allowing us to\n // catch the misuse of the API and give proper direction\n if (isNaN(Number(query))) {\n throw new Error(`useStaticQuery was called with a string but expects to be called using \\`graphql\\`. Try this:\n\nimport { useStaticQuery, graphql } from 'gatsby';\n\nuseStaticQuery(graphql\\`${query}\\`);\n`)\n }\n\n if (context[query]?.data) {\n return context[query].data\n } else {\n throw new Error(\n `The result of this StaticQuery could not be fetched.\\n\\n` +\n `This is likely a bug in Gatsby and if refreshing the page does not fix it, ` +\n `please open an issue in https://github.com/gatsbyjs/gatsby/issues`\n )\n }\n}\n\nStaticQuery.propTypes = {\n data: PropTypes.object,\n query: PropTypes.string.isRequired,\n render: PropTypes.func,\n children: PropTypes.func,\n}\n\nfunction graphql() {\n throw new Error(\n `It appears like Gatsby is misconfigured. Gatsby related \\`graphql\\` calls ` +\n `are supposed to only be evaluated at compile time, and then compiled away. ` +\n `Unfortunately, something went wrong and the query was left in the compiled code.\\n\\n` +\n `Unless your site has a complex or custom babel/Gatsby configuration this is likely a bug in Gatsby.`\n )\n}\n\nexport {\n Link,\n withAssetPrefix,\n withPrefix,\n graphql,\n parsePath,\n navigate,\n push, // TODO replace for v3\n replace, // TODO remove replace for v3\n navigateTo, // TODO: remove navigateTo for v3\n useScrollRestoration,\n StaticQueryContext,\n StaticQuery,\n PageRenderer,\n useStaticQuery,\n prefetchPathname,\n}\n","\"use strict\";\n\nmodule.exports = Object.assign;","var _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; };\n\nfunction _objectWithoutProperties(obj, keys) { var target = {}; for (var i in obj) { if (keys.indexOf(i) >= 0) continue; if (!Object.prototype.hasOwnProperty.call(obj, i)) continue; target[i] = obj[i]; } return target; }\n\nfunction _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError(\"Cannot call a class as a function\"); } }\n\nfunction _possibleConstructorReturn(self, call) { if (!self) { throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\"); } return call && (typeof call === \"object\" || typeof call === \"function\") ? call : self; }\n\nfunction _inherits(subClass, superClass) { if (typeof superClass !== \"function\" && superClass !== null) { throw new TypeError(\"Super expression must either be null or a function, not \" + typeof superClass); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, enumerable: false, writable: true, configurable: true } }); if (superClass) Object.setPrototypeOf ? Object.setPrototypeOf(subClass, superClass) : subClass.__proto__ = superClass; }\n\n/* eslint-disable jsx-a11y/anchor-has-content */\nimport React, { useContext } from \"react\";\nimport PropTypes from \"prop-types\";\nimport invariant from \"invariant\";\nimport createContext from \"create-react-context\";\nimport { polyfill } from \"react-lifecycles-compat\";\nimport { startsWith, pick, resolve, match, insertParams, validateRedirect, shallowCompare } from \"./lib/utils\";\nimport { globalHistory, navigate, createHistory, createMemorySource } from \"./lib/history\";\n\n////////////////////////////////////////////////////////////////////////////////\n\nvar createNamedContext = function createNamedContext(name, defaultValue) {\n var Ctx = createContext(defaultValue);\n Ctx.displayName = name;\n return Ctx;\n};\n\n////////////////////////////////////////////////////////////////////////////////\n// Location Context/Provider\nvar LocationContext = createNamedContext(\"Location\");\n\n// sets up a listener if there isn't one already so apps don't need to be\n// wrapped in some top level provider\nvar Location = function Location(_ref) {\n var children = _ref.children;\n return React.createElement(\n LocationContext.Consumer,\n null,\n function (context) {\n return context ? children(context) : React.createElement(\n LocationProvider,\n null,\n children\n );\n }\n );\n};\n\nvar LocationProvider = function (_React$Component) {\n _inherits(LocationProvider, _React$Component);\n\n function LocationProvider() {\n var _temp, _this, _ret;\n\n _classCallCheck(this, LocationProvider);\n\n for (var _len = arguments.length, args = Array(_len), _key = 0; _key < _len; _key++) {\n args[_key] = arguments[_key];\n }\n\n return _ret = (_temp = (_this = _possibleConstructorReturn(this, _React$Component.call.apply(_React$Component, [this].concat(args))), _this), _this.state = {\n context: _this.getContext(),\n refs: { unlisten: null }\n }, _temp), _possibleConstructorReturn(_this, _ret);\n }\n\n LocationProvider.prototype.getContext = function getContext() {\n var _props$history = this.props.history,\n navigate = _props$history.navigate,\n location = _props$history.location;\n\n return { navigate: navigate, location: location };\n };\n\n LocationProvider.prototype.componentDidCatch = function componentDidCatch(error, info) {\n if (isRedirect(error)) {\n var _navigate = this.props.history.navigate;\n\n _navigate(error.uri, { replace: true });\n } else {\n throw error;\n }\n };\n\n LocationProvider.prototype.componentDidUpdate = function componentDidUpdate(prevProps, prevState) {\n if (prevState.context.location !== this.state.context.location) {\n this.props.history._onTransitionComplete();\n }\n };\n\n LocationProvider.prototype.componentDidMount = function componentDidMount() {\n var _this2 = this;\n\n var refs = this.state.refs,\n history = this.props.history;\n\n history._onTransitionComplete();\n refs.unlisten = history.listen(function () {\n Promise.resolve().then(function () {\n // TODO: replace rAF with react deferred update API when it's ready https://github.com/facebook/react/issues/13306\n requestAnimationFrame(function () {\n if (!_this2.unmounted) {\n _this2.setState(function () {\n return { context: _this2.getContext() };\n });\n }\n });\n });\n });\n };\n\n LocationProvider.prototype.componentWillUnmount = function componentWillUnmount() {\n var refs = this.state.refs;\n\n this.unmounted = true;\n refs.unlisten();\n };\n\n LocationProvider.prototype.render = function render() {\n var context = this.state.context,\n children = this.props.children;\n\n return React.createElement(\n LocationContext.Provider,\n { value: context },\n typeof children === \"function\" ? children(context) : children || null\n );\n };\n\n return LocationProvider;\n}(React.Component);\n\n////////////////////////////////////////////////////////////////////////////////\n\n\nLocationProvider.defaultProps = {\n history: globalHistory\n};\nprocess.env.NODE_ENV !== \"production\" ? LocationProvider.propTypes = {\n history: PropTypes.object.isRequired\n} : void 0;\nvar ServerLocation = function ServerLocation(_ref2) {\n var url = _ref2.url,\n children = _ref2.children;\n\n var searchIndex = url.indexOf(\"?\");\n var searchExists = searchIndex > -1;\n var pathname = void 0;\n var search = \"\";\n var hash = \"\";\n\n if (searchExists) {\n pathname = url.substring(0, searchIndex);\n search = url.substring(searchIndex);\n } else {\n pathname = url;\n }\n\n return React.createElement(\n LocationContext.Provider,\n {\n value: {\n location: {\n pathname: pathname,\n search: search,\n hash: hash\n },\n navigate: function navigate() {\n throw new Error(\"You can't call navigate on the server.\");\n }\n }\n },\n children\n );\n};\n////////////////////////////////////////////////////////////////////////////////\n// Sets baseuri and basepath for nested routers and links\nvar BaseContext = createNamedContext(\"Base\", { baseuri: \"/\", basepath: \"/\" });\n\n////////////////////////////////////////////////////////////////////////////////\n// The main event, welcome to the show everybody.\nvar Router = function Router(props) {\n return React.createElement(\n BaseContext.Consumer,\n null,\n function (baseContext) {\n return React.createElement(\n Location,\n null,\n function (locationContext) {\n return React.createElement(RouterImpl, _extends({}, baseContext, locationContext, props));\n }\n );\n }\n );\n};\n\nvar RouterImpl = function (_React$PureComponent) {\n _inherits(RouterImpl, _React$PureComponent);\n\n function RouterImpl() {\n _classCallCheck(this, RouterImpl);\n\n return _possibleConstructorReturn(this, _React$PureComponent.apply(this, arguments));\n }\n\n RouterImpl.prototype.render = function render() {\n var _props = this.props,\n location = _props.location,\n _navigate2 = _props.navigate,\n basepath = _props.basepath,\n primary = _props.primary,\n children = _props.children,\n baseuri = _props.baseuri,\n _props$component = _props.component,\n component = _props$component === undefined ? \"div\" : _props$component,\n domProps = _objectWithoutProperties(_props, [\"location\", \"navigate\", \"basepath\", \"primary\", \"children\", \"baseuri\", \"component\"]);\n\n var routes = React.Children.toArray(children).reduce(function (array, child) {\n var routes = createRoute(basepath)(child);\n return array.concat(routes);\n }, []);\n var pathname = location.pathname;\n\n\n var match = pick(routes, pathname);\n\n if (match) {\n var params = match.params,\n uri = match.uri,\n route = match.route,\n element = match.route.value;\n\n // remove the /* from the end for child routes relative paths\n\n basepath = route.default ? basepath : route.path.replace(/\\*$/, \"\");\n\n var props = _extends({}, params, {\n uri: uri,\n location: location,\n navigate: function navigate(to, options) {\n return _navigate2(resolve(to, uri), options);\n }\n });\n\n var clone = React.cloneElement(element, props, element.props.children ? React.createElement(\n Router,\n { location: location, primary: primary },\n element.props.children\n ) : undefined);\n\n // using 'div' for < 16.3 support\n var FocusWrapper = primary ? FocusHandler : component;\n // don't pass any props to 'div'\n var wrapperProps = primary ? _extends({ uri: uri, location: location, component: component }, domProps) : domProps;\n\n return React.createElement(\n BaseContext.Provider,\n { value: { baseuri: uri, basepath: basepath } },\n React.createElement(\n FocusWrapper,\n wrapperProps,\n clone\n )\n );\n } else {\n // Not sure if we want this, would require index routes at every level\n // warning(\n // false,\n // `\\n\\nNothing matched:\\n\\t${\n // location.pathname\n // }\\n\\nPaths checked: \\n\\t${routes\n // .map(route => route.path)\n // .join(\n // \"\\n\\t\"\n // )}\\n\\nTo get rid of this warning, add a default NotFound component as child of Router:\n // \\n\\tlet NotFound = () =>
Not Found!
\n // \\n\\t\\n\\t \\n\\t {/* ... */}\\n\\t`\n // );\n return null;\n }\n };\n\n return RouterImpl;\n}(React.PureComponent);\n\nRouterImpl.defaultProps = {\n primary: true\n};\n\n\nvar FocusContext = createNamedContext(\"Focus\");\n\nvar FocusHandler = function FocusHandler(_ref3) {\n var uri = _ref3.uri,\n location = _ref3.location,\n component = _ref3.component,\n domProps = _objectWithoutProperties(_ref3, [\"uri\", \"location\", \"component\"]);\n\n return React.createElement(\n FocusContext.Consumer,\n null,\n function (requestFocus) {\n return React.createElement(FocusHandlerImpl, _extends({}, domProps, {\n component: component,\n requestFocus: requestFocus,\n uri: uri,\n location: location\n }));\n }\n );\n};\n\n// don't focus on initial render\nvar initialRender = true;\nvar focusHandlerCount = 0;\n\nvar FocusHandlerImpl = function (_React$Component2) {\n _inherits(FocusHandlerImpl, _React$Component2);\n\n function FocusHandlerImpl() {\n var _temp2, _this4, _ret2;\n\n _classCallCheck(this, FocusHandlerImpl);\n\n for (var _len2 = arguments.length, args = Array(_len2), _key2 = 0; _key2 < _len2; _key2++) {\n args[_key2] = arguments[_key2];\n }\n\n return _ret2 = (_temp2 = (_this4 = _possibleConstructorReturn(this, _React$Component2.call.apply(_React$Component2, [this].concat(args))), _this4), _this4.state = {}, _this4.requestFocus = function (node) {\n if (!_this4.state.shouldFocus && node) {\n node.focus();\n }\n }, _temp2), _possibleConstructorReturn(_this4, _ret2);\n }\n\n FocusHandlerImpl.getDerivedStateFromProps = function getDerivedStateFromProps(nextProps, prevState) {\n var initial = prevState.uri == null;\n if (initial) {\n return _extends({\n shouldFocus: true\n }, nextProps);\n } else {\n var myURIChanged = nextProps.uri !== prevState.uri;\n var navigatedUpToMe = prevState.location.pathname !== nextProps.location.pathname && nextProps.location.pathname === nextProps.uri;\n return _extends({\n shouldFocus: myURIChanged || navigatedUpToMe\n }, nextProps);\n }\n };\n\n FocusHandlerImpl.prototype.componentDidMount = function componentDidMount() {\n focusHandlerCount++;\n this.focus();\n };\n\n FocusHandlerImpl.prototype.componentWillUnmount = function componentWillUnmount() {\n focusHandlerCount--;\n if (focusHandlerCount === 0) {\n initialRender = true;\n }\n };\n\n FocusHandlerImpl.prototype.componentDidUpdate = function componentDidUpdate(prevProps, prevState) {\n if (prevProps.location !== this.props.location && this.state.shouldFocus) {\n this.focus();\n }\n };\n\n FocusHandlerImpl.prototype.focus = function focus() {\n if (process.env.NODE_ENV === \"test\") {\n // getting cannot read property focus of null in the tests\n // and that bit of global `initialRender` state causes problems\n // should probably figure it out!\n return;\n }\n\n var requestFocus = this.props.requestFocus;\n\n\n if (requestFocus) {\n requestFocus(this.node);\n } else {\n if (initialRender) {\n initialRender = false;\n } else if (this.node) {\n // React polyfills [autofocus] and it fires earlier than cDM,\n // so we were stealing focus away, this line prevents that.\n if (!this.node.contains(document.activeElement)) {\n this.node.focus();\n }\n }\n }\n };\n\n FocusHandlerImpl.prototype.render = function render() {\n var _this5 = this;\n\n var _props2 = this.props,\n children = _props2.children,\n style = _props2.style,\n requestFocus = _props2.requestFocus,\n _props2$component = _props2.component,\n Comp = _props2$component === undefined ? \"div\" : _props2$component,\n uri = _props2.uri,\n location = _props2.location,\n domProps = _objectWithoutProperties(_props2, [\"children\", \"style\", \"requestFocus\", \"component\", \"uri\", \"location\"]);\n\n return React.createElement(\n Comp,\n _extends({\n style: _extends({ outline: \"none\" }, style),\n tabIndex: \"-1\",\n ref: function ref(n) {\n return _this5.node = n;\n }\n }, domProps),\n React.createElement(\n FocusContext.Provider,\n { value: this.requestFocus },\n this.props.children\n )\n );\n };\n\n return FocusHandlerImpl;\n}(React.Component);\n\npolyfill(FocusHandlerImpl);\n\nvar k = function k() {};\n\n////////////////////////////////////////////////////////////////////////////////\nvar forwardRef = React.forwardRef;\n\nif (typeof forwardRef === \"undefined\") {\n forwardRef = function forwardRef(C) {\n return C;\n };\n}\n\nvar Link = forwardRef(function (_ref4, ref) {\n var innerRef = _ref4.innerRef,\n props = _objectWithoutProperties(_ref4, [\"innerRef\"]);\n\n return React.createElement(\n BaseContext.Consumer,\n null,\n function (_ref5) {\n var basepath = _ref5.basepath,\n baseuri = _ref5.baseuri;\n return React.createElement(\n Location,\n null,\n function (_ref6) {\n var location = _ref6.location,\n navigate = _ref6.navigate;\n\n var to = props.to,\n state = props.state,\n replace = props.replace,\n _props$getProps = props.getProps,\n getProps = _props$getProps === undefined ? k : _props$getProps,\n anchorProps = _objectWithoutProperties(props, [\"to\", \"state\", \"replace\", \"getProps\"]);\n\n var href = resolve(to, baseuri);\n var encodedHref = encodeURI(href);\n var isCurrent = location.pathname === encodedHref;\n var isPartiallyCurrent = startsWith(location.pathname, encodedHref);\n\n return React.createElement(\"a\", _extends({\n ref: ref || innerRef,\n \"aria-current\": isCurrent ? \"page\" : undefined\n }, anchorProps, getProps({ isCurrent: isCurrent, isPartiallyCurrent: isPartiallyCurrent, href: href, location: location }), {\n href: href,\n onClick: function onClick(event) {\n if (anchorProps.onClick) anchorProps.onClick(event);\n if (shouldNavigate(event)) {\n event.preventDefault();\n var shouldReplace = replace;\n if (typeof replace !== \"boolean\" && isCurrent) {\n var _location$state = _extends({}, location.state),\n key = _location$state.key,\n restState = _objectWithoutProperties(_location$state, [\"key\"]);\n\n shouldReplace = shallowCompare(_extends({}, state), restState);\n }\n navigate(href, {\n state: state,\n replace: shouldReplace\n });\n }\n }\n }));\n }\n );\n }\n );\n});\n\nLink.displayName = \"Link\";\n\nprocess.env.NODE_ENV !== \"production\" ? Link.propTypes = {\n to: PropTypes.string.isRequired\n} : void 0;\n\n////////////////////////////////////////////////////////////////////////////////\nfunction RedirectRequest(uri) {\n this.uri = uri;\n}\n\nvar isRedirect = function isRedirect(o) {\n return o instanceof RedirectRequest;\n};\n\nvar redirectTo = function redirectTo(to) {\n throw new RedirectRequest(to);\n};\n\nvar RedirectImpl = function (_React$Component3) {\n _inherits(RedirectImpl, _React$Component3);\n\n function RedirectImpl() {\n _classCallCheck(this, RedirectImpl);\n\n return _possibleConstructorReturn(this, _React$Component3.apply(this, arguments));\n }\n\n // Support React < 16 with this hook\n RedirectImpl.prototype.componentDidMount = function componentDidMount() {\n var _props3 = this.props,\n navigate = _props3.navigate,\n to = _props3.to,\n from = _props3.from,\n _props3$replace = _props3.replace,\n replace = _props3$replace === undefined ? true : _props3$replace,\n state = _props3.state,\n noThrow = _props3.noThrow,\n baseuri = _props3.baseuri,\n props = _objectWithoutProperties(_props3, [\"navigate\", \"to\", \"from\", \"replace\", \"state\", \"noThrow\", \"baseuri\"]);\n\n Promise.resolve().then(function () {\n var resolvedTo = resolve(to, baseuri);\n navigate(insertParams(resolvedTo, props), { replace: replace, state: state });\n });\n };\n\n RedirectImpl.prototype.render = function render() {\n var _props4 = this.props,\n navigate = _props4.navigate,\n to = _props4.to,\n from = _props4.from,\n replace = _props4.replace,\n state = _props4.state,\n noThrow = _props4.noThrow,\n baseuri = _props4.baseuri,\n props = _objectWithoutProperties(_props4, [\"navigate\", \"to\", \"from\", \"replace\", \"state\", \"noThrow\", \"baseuri\"]);\n\n var resolvedTo = resolve(to, baseuri);\n if (!noThrow) redirectTo(insertParams(resolvedTo, props));\n return null;\n };\n\n return RedirectImpl;\n}(React.Component);\n\nvar Redirect = function Redirect(props) {\n return React.createElement(\n BaseContext.Consumer,\n null,\n function (_ref7) {\n var baseuri = _ref7.baseuri;\n return React.createElement(\n Location,\n null,\n function (locationContext) {\n return React.createElement(RedirectImpl, _extends({}, locationContext, { baseuri: baseuri }, props));\n }\n );\n }\n );\n};\n\nprocess.env.NODE_ENV !== \"production\" ? Redirect.propTypes = {\n from: PropTypes.string,\n to: PropTypes.string.isRequired\n} : void 0;\n\n////////////////////////////////////////////////////////////////////////////////\nvar Match = function Match(_ref8) {\n var path = _ref8.path,\n children = _ref8.children;\n return React.createElement(\n BaseContext.Consumer,\n null,\n function (_ref9) {\n var baseuri = _ref9.baseuri;\n return React.createElement(\n Location,\n null,\n function (_ref10) {\n var navigate = _ref10.navigate,\n location = _ref10.location;\n\n var resolvedPath = resolve(path, baseuri);\n var result = match(resolvedPath, location.pathname);\n return children({\n navigate: navigate,\n location: location,\n match: result ? _extends({}, result.params, {\n uri: result.uri,\n path: path\n }) : null\n });\n }\n );\n }\n );\n};\n\n////////////////////////////////////////////////////////////////////////////////\n// Hooks\n\nvar useLocation = function useLocation() {\n var context = useContext(LocationContext);\n\n if (!context) {\n throw new Error(\"useLocation hook was used but a LocationContext.Provider was not found in the parent tree. Make sure this is used in a component that is a child of Router\");\n }\n\n return context.location;\n};\n\nvar useNavigate = function useNavigate() {\n var context = useContext(LocationContext);\n\n if (!context) {\n throw new Error(\"useNavigate hook was used but a LocationContext.Provider was not found in the parent tree. Make sure this is used in a component that is a child of Router\");\n }\n\n return context.navigate;\n};\n\nvar useParams = function useParams() {\n var context = useContext(BaseContext);\n\n if (!context) {\n throw new Error(\"useParams hook was used but a LocationContext.Provider was not found in the parent tree. Make sure this is used in a component that is a child of Router\");\n }\n\n var location = useLocation();\n\n var results = match(context.basepath, location.pathname);\n\n return results ? results.params : null;\n};\n\nvar useMatch = function useMatch(path) {\n if (!path) {\n throw new Error(\"useMatch(path: string) requires an argument of a string to match against\");\n }\n var context = useContext(BaseContext);\n\n if (!context) {\n throw new Error(\"useMatch hook was used but a LocationContext.Provider was not found in the parent tree. Make sure this is used in a component that is a child of Router\");\n }\n\n var location = useLocation();\n\n var resolvedPath = resolve(path, context.baseuri);\n var result = match(resolvedPath, location.pathname);\n return result ? _extends({}, result.params, {\n uri: result.uri,\n path: path\n }) : null;\n};\n\n////////////////////////////////////////////////////////////////////////////////\n// Junk\nvar stripSlashes = function stripSlashes(str) {\n return str.replace(/(^\\/+|\\/+$)/g, \"\");\n};\n\nvar createRoute = function createRoute(basepath) {\n return function (element) {\n if (!element) {\n return null;\n }\n\n if (element.type === React.Fragment && element.props.children) {\n return React.Children.map(element.props.children, createRoute(basepath));\n }\n !(element.props.path || element.props.default || element.type === Redirect) ? process.env.NODE_ENV !== \"production\" ? invariant(false, \": Children of must have a `path` or `default` prop, or be a ``. None found on element type `\" + element.type + \"`\") : invariant(false) : void 0;\n\n !!(element.type === Redirect && (!element.props.from || !element.props.to)) ? process.env.NODE_ENV !== \"production\" ? invariant(false, \" requires both \\\"from\\\" and \\\"to\\\" props when inside a .\") : invariant(false) : void 0;\n\n !!(element.type === Redirect && !validateRedirect(element.props.from, element.props.to)) ? process.env.NODE_ENV !== \"production\" ? invariant(false, \" has mismatched dynamic segments, ensure both paths have the exact same dynamic segments.\") : invariant(false) : void 0;\n\n if (element.props.default) {\n return { value: element, default: true };\n }\n\n var elementPath = element.type === Redirect ? element.props.from : element.props.path;\n\n var path = elementPath === \"/\" ? basepath : stripSlashes(basepath) + \"/\" + stripSlashes(elementPath);\n\n return {\n value: element,\n default: element.props.default,\n path: element.props.children ? stripSlashes(path) + \"/*\" : path\n };\n };\n};\n\nvar shouldNavigate = function shouldNavigate(event) {\n return !event.defaultPrevented && event.button === 0 && !(event.metaKey || event.altKey || event.ctrlKey || event.shiftKey);\n};\n\n////////////////////////////////////////////////////////////////////////\nexport { Link, Location, LocationProvider, Match, Redirect, Router, ServerLocation, createHistory, createMemorySource, isRedirect, navigate, redirectTo, globalHistory, match as matchPath, useLocation, useNavigate, useParams, useMatch , BaseContext };","function _typeof(o) {\n \"@babel/helpers - typeof\";\n\n return (module.exports = _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) {\n return typeof o;\n } : function (o) {\n return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o;\n }, module.exports.__esModule = true, module.exports[\"default\"] = module.exports), _typeof(o);\n}\nmodule.exports = _typeof, module.exports.__esModule = true, module.exports[\"default\"] = module.exports;","/**\n * Remove a prefix from a string. Return the input string if the given prefix\n * isn't found.\n */\n\nexport default function stripPrefix(str, prefix = ``) {\n if (!prefix) {\n return str\n }\n\n if (str === prefix) {\n return `/`\n }\n\n if (str.startsWith(`${prefix}/`)) {\n return str.slice(prefix.length)\n }\n\n return str\n}\n","\"use strict\";\n\nexports.__esModule = true;\nexports.parsePath = parsePath;\n\nfunction parsePath(path) {\n var pathname = path || \"/\";\n var search = \"\";\n var hash = \"\";\n var hashIndex = pathname.indexOf(\"#\");\n\n if (hashIndex !== -1) {\n hash = pathname.substr(hashIndex);\n pathname = pathname.substr(0, hashIndex);\n }\n\n var searchIndex = pathname.indexOf(\"?\");\n\n if (searchIndex !== -1) {\n search = pathname.substr(searchIndex);\n pathname = pathname.substr(0, searchIndex);\n }\n\n return {\n pathname: pathname,\n search: search === \"?\" ? \"\" : search,\n hash: hash === \"#\" ? \"\" : hash\n };\n}","export default function _setPrototypeOf(o, p) {\n _setPrototypeOf = Object.setPrototypeOf ? Object.setPrototypeOf.bind() : function _setPrototypeOf(o, p) {\n o.__proto__ = p;\n return o;\n };\n return _setPrototypeOf(o, p);\n}","import setPrototypeOf from \"./setPrototypeOf.js\";\nexport default function _inheritsLoose(subClass, superClass) {\n subClass.prototype = Object.create(superClass.prototype);\n subClass.prototype.constructor = subClass;\n setPrototypeOf(subClass, superClass);\n}","export default function _arrayLikeToArray(arr, len) {\n if (len == null || len > arr.length) len = arr.length;\n for (var i = 0, arr2 = new Array(len); i < len; i++) arr2[i] = arr[i];\n return arr2;\n}","import arrayWithoutHoles from \"./arrayWithoutHoles.js\";\nimport iterableToArray from \"./iterableToArray.js\";\nimport unsupportedIterableToArray from \"./unsupportedIterableToArray.js\";\nimport nonIterableSpread from \"./nonIterableSpread.js\";\nexport default function _toConsumableArray(arr) {\n return arrayWithoutHoles(arr) || iterableToArray(arr) || unsupportedIterableToArray(arr) || nonIterableSpread();\n}","import arrayLikeToArray from \"./arrayLikeToArray.js\";\nexport default function _arrayWithoutHoles(arr) {\n if (Array.isArray(arr)) return arrayLikeToArray(arr);\n}","export default function _iterableToArray(iter) {\n if (typeof Symbol !== \"undefined\" && iter[Symbol.iterator] != null || iter[\"@@iterator\"] != null) return Array.from(iter);\n}","import arrayLikeToArray from \"./arrayLikeToArray.js\";\nexport default function _unsupportedIterableToArray(o, minLen) {\n if (!o) return;\n if (typeof o === \"string\") return arrayLikeToArray(o, minLen);\n var n = Object.prototype.toString.call(o).slice(8, -1);\n if (n === \"Object\" && o.constructor) n = o.constructor.name;\n if (n === \"Map\" || n === \"Set\") return Array.from(o);\n if (n === \"Arguments\" || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)) return arrayLikeToArray(o, minLen);\n}","export default function _nonIterableSpread() {\n throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\");\n}","const support = function (feature) {\n if (typeof document === `undefined`) {\n return false\n }\n const fakeLink = document.createElement(`link`)\n try {\n if (fakeLink.relList && typeof fakeLink.relList.supports === `function`) {\n return fakeLink.relList.supports(feature)\n }\n } catch (err) {\n return false\n }\n return false\n}\n\nconst linkPrefetchStrategy = function (url, options) {\n return new Promise((resolve, reject) => {\n if (typeof document === `undefined`) {\n reject()\n return\n }\n\n const link = document.createElement(`link`)\n link.setAttribute(`rel`, `prefetch`)\n link.setAttribute(`href`, url)\n\n Object.keys(options).forEach(key => {\n link.setAttribute(key, options[key])\n })\n\n link.onload = resolve\n link.onerror = reject\n\n const parentElement =\n document.getElementsByTagName(`head`)[0] ||\n document.getElementsByName(`script`)[0].parentNode\n parentElement.appendChild(link)\n })\n}\n\nconst xhrPrefetchStrategy = function (url) {\n return new Promise((resolve, reject) => {\n const req = new XMLHttpRequest()\n req.open(`GET`, url, true)\n\n req.onload = () => {\n if (req.status === 200) {\n resolve()\n } else {\n reject()\n }\n }\n\n req.send(null)\n })\n}\n\nconst supportedPrefetchStrategy = support(`prefetch`)\n ? linkPrefetchStrategy\n : xhrPrefetchStrategy\n\nconst preFetched = {}\n\nconst prefetch = function (url, options) {\n return new Promise(resolve => {\n if (preFetched[url]) {\n resolve()\n return\n }\n\n supportedPrefetchStrategy(url, options)\n .then(() => {\n resolve()\n preFetched[url] = true\n })\n .catch(() => {}) // 404s are logged to the console anyway\n })\n}\n\nexport default prefetch\n","import prefetchHelper from \"./prefetch\"\nimport emitter from \"./emitter\"\nimport { setMatchPaths, findPath, findMatchPath } from \"./find-path\"\n\n/**\n * Available resource loading statuses\n */\nexport const PageResourceStatus = {\n /**\n * At least one of critical resources failed to load\n */\n Error: `error`,\n /**\n * Resources loaded successfully\n */\n Success: `success`,\n}\n\nconst preferDefault = m => (m && m.default) || m\n\nconst stripSurroundingSlashes = s => {\n s = s[0] === `/` ? s.slice(1) : s\n s = s.endsWith(`/`) ? s.slice(0, -1) : s\n return s\n}\n\nconst createPageDataUrl = path => {\n const fixedPath = path === `/` ? `index` : stripSurroundingSlashes(path)\n return `${__PATH_PREFIX__}/page-data/${fixedPath}/page-data.json`\n}\n\nfunction doFetch(url, method = `GET`) {\n return new Promise((resolve, reject) => {\n const req = new XMLHttpRequest()\n req.open(method, url, true)\n req.onreadystatechange = () => {\n if (req.readyState == 4) {\n resolve(req)\n }\n }\n req.send(null)\n })\n}\n\nconst doesConnectionSupportPrefetch = () => {\n if (\n `connection` in navigator &&\n typeof navigator.connection !== `undefined`\n ) {\n if ((navigator.connection.effectiveType || ``).includes(`2g`)) {\n return false\n }\n if (navigator.connection.saveData) {\n return false\n }\n }\n return true\n}\n\nconst toPageResources = (pageData, component = null) => {\n const page = {\n componentChunkName: pageData.componentChunkName,\n path: pageData.path,\n webpackCompilationHash: pageData.webpackCompilationHash,\n matchPath: pageData.matchPath,\n staticQueryHashes: pageData.staticQueryHashes,\n }\n\n return {\n component,\n json: pageData.result,\n page,\n }\n}\n\nexport class BaseLoader {\n constructor(loadComponent, matchPaths) {\n // Map of pagePath -> Page. Where Page is an object with: {\n // status: PageResourceStatus.Success || PageResourceStatus.Error,\n // payload: PageResources, // undefined if PageResourceStatus.Error\n // }\n // PageResources is {\n // component,\n // json: pageData.result,\n // page: {\n // componentChunkName,\n // path,\n // webpackCompilationHash,\n // staticQueryHashes\n // },\n // staticQueryResults\n // }\n this.pageDb = new Map()\n this.inFlightDb = new Map()\n this.staticQueryDb = {}\n this.pageDataDb = new Map()\n this.prefetchTriggered = new Set()\n this.prefetchCompleted = new Set()\n this.loadComponent = loadComponent\n setMatchPaths(matchPaths)\n }\n\n inFlightNetworkRequests = new Map()\n\n memoizedGet(url) {\n let inFlightPromise = this.inFlightNetworkRequests.get(url)\n\n if (!inFlightPromise) {\n inFlightPromise = doFetch(url, `GET`)\n this.inFlightNetworkRequests.set(url, inFlightPromise)\n }\n\n // Prefer duplication with then + catch over .finally to prevent problems in ie11 + firefox\n return inFlightPromise\n .then(response => {\n this.inFlightNetworkRequests.delete(url)\n return response\n })\n .catch(err => {\n this.inFlightNetworkRequests.delete(url)\n throw err\n })\n }\n\n setApiRunner(apiRunner) {\n this.apiRunner = apiRunner\n this.prefetchDisabled = apiRunner(`disableCorePrefetching`).some(a => a)\n }\n\n fetchPageDataJson(loadObj) {\n const { pagePath, retries = 0 } = loadObj\n const url = createPageDataUrl(pagePath)\n return this.memoizedGet(url).then(req => {\n const { status, responseText } = req\n\n // Handle 200\n if (status === 200) {\n try {\n const jsonPayload = JSON.parse(responseText)\n if (jsonPayload.path === undefined) {\n throw new Error(`not a valid pageData response`)\n }\n\n return Object.assign(loadObj, {\n status: PageResourceStatus.Success,\n payload: jsonPayload,\n })\n } catch (err) {\n // continue regardless of error\n }\n }\n\n // Handle 404\n if (status === 404 || status === 200) {\n // If the request was for a 404 page and it doesn't exist, we're done\n if (pagePath === `/404.html`) {\n return Object.assign(loadObj, {\n status: PageResourceStatus.Error,\n })\n }\n\n // Need some code here to cache the 404 request. In case\n // multiple loadPageDataJsons result in 404s\n return this.fetchPageDataJson(\n Object.assign(loadObj, { pagePath: `/404.html`, notFound: true })\n )\n }\n\n // handle 500 response (Unrecoverable)\n if (status === 500) {\n return Object.assign(loadObj, {\n status: PageResourceStatus.Error,\n })\n }\n\n // Handle everything else, including status === 0, and 503s. Should retry\n if (retries < 3) {\n return this.fetchPageDataJson(\n Object.assign(loadObj, { retries: retries + 1 })\n )\n }\n\n // Retried 3 times already, result is an error.\n return Object.assign(loadObj, {\n status: PageResourceStatus.Error,\n })\n })\n }\n\n loadPageDataJson(rawPath) {\n const pagePath = findPath(rawPath)\n if (this.pageDataDb.has(pagePath)) {\n const pageData = this.pageDataDb.get(pagePath)\n if (process.env.BUILD_STAGE !== `develop` || !pageData.stale) {\n return Promise.resolve(pageData)\n }\n }\n\n return this.fetchPageDataJson({ pagePath }).then(pageData => {\n this.pageDataDb.set(pagePath, pageData)\n\n return pageData\n })\n }\n\n findMatchPath(rawPath) {\n return findMatchPath(rawPath)\n }\n\n // TODO check all uses of this and whether they use undefined for page resources not exist\n loadPage(rawPath) {\n const pagePath = findPath(rawPath)\n if (this.pageDb.has(pagePath)) {\n const page = this.pageDb.get(pagePath)\n if (process.env.BUILD_STAGE !== `develop` || !page.payload.stale) {\n return Promise.resolve(page.payload)\n }\n }\n\n if (this.inFlightDb.has(pagePath)) {\n return this.inFlightDb.get(pagePath)\n }\n\n const inFlightPromise = Promise.all([\n this.loadAppData(),\n this.loadPageDataJson(pagePath),\n ]).then(allData => {\n const result = allData[1]\n if (result.status === PageResourceStatus.Error) {\n return {\n status: PageResourceStatus.Error,\n }\n }\n\n let pageData = result.payload\n const { componentChunkName, staticQueryHashes = [] } = pageData\n\n const finalResult = {}\n\n const componentChunkPromise = this.loadComponent(componentChunkName).then(\n component => {\n finalResult.createdAt = new Date()\n let pageResources\n if (!component) {\n finalResult.status = PageResourceStatus.Error\n } else {\n finalResult.status = PageResourceStatus.Success\n if (result.notFound === true) {\n finalResult.notFound = true\n }\n pageData = Object.assign(pageData, {\n webpackCompilationHash: allData[0]\n ? allData[0].webpackCompilationHash\n : ``,\n })\n pageResources = toPageResources(pageData, component)\n }\n // undefined if final result is an error\n return pageResources\n }\n )\n\n const staticQueryBatchPromise = Promise.all(\n staticQueryHashes.map(staticQueryHash => {\n // Check for cache in case this static query result has already been loaded\n if (this.staticQueryDb[staticQueryHash]) {\n const jsonPayload = this.staticQueryDb[staticQueryHash]\n return { staticQueryHash, jsonPayload }\n }\n\n return this.memoizedGet(\n `${__PATH_PREFIX__}/page-data/sq/d/${staticQueryHash}.json`\n ).then(req => {\n const jsonPayload = JSON.parse(req.responseText)\n return { staticQueryHash, jsonPayload }\n })\n })\n ).then(staticQueryResults => {\n const staticQueryResultsMap = {}\n\n staticQueryResults.forEach(({ staticQueryHash, jsonPayload }) => {\n staticQueryResultsMap[staticQueryHash] = jsonPayload\n this.staticQueryDb[staticQueryHash] = jsonPayload\n })\n\n return staticQueryResultsMap\n })\n\n return Promise.all([componentChunkPromise, staticQueryBatchPromise]).then(\n ([pageResources, staticQueryResults]) => {\n let payload\n if (pageResources) {\n payload = { ...pageResources, staticQueryResults }\n finalResult.payload = payload\n emitter.emit(`onPostLoadPageResources`, {\n page: payload,\n pageResources: payload,\n })\n }\n\n this.pageDb.set(pagePath, finalResult)\n\n return payload\n }\n )\n })\n\n inFlightPromise\n .then(response => {\n this.inFlightDb.delete(pagePath)\n })\n .catch(error => {\n this.inFlightDb.delete(pagePath)\n throw error\n })\n\n this.inFlightDb.set(pagePath, inFlightPromise)\n\n return inFlightPromise\n }\n\n // returns undefined if loading page ran into errors\n loadPageSync(rawPath) {\n const pagePath = findPath(rawPath)\n if (this.pageDb.has(pagePath)) {\n const pageData = this.pageDb.get(pagePath).payload\n return pageData\n }\n return undefined\n }\n\n shouldPrefetch(pagePath) {\n // Skip prefetching if we know user is on slow or constrained connection\n if (!doesConnectionSupportPrefetch()) {\n return false\n }\n\n // Check if the page exists.\n if (this.pageDb.has(pagePath)) {\n return false\n }\n\n return true\n }\n\n prefetch(pagePath) {\n if (!this.shouldPrefetch(pagePath)) {\n return false\n }\n\n // Tell plugins with custom prefetching logic that they should start\n // prefetching this path.\n if (!this.prefetchTriggered.has(pagePath)) {\n this.apiRunner(`onPrefetchPathname`, { pathname: pagePath })\n this.prefetchTriggered.add(pagePath)\n }\n\n // If a plugin has disabled core prefetching, stop now.\n if (this.prefetchDisabled) {\n return false\n }\n\n const realPath = findPath(pagePath)\n // Todo make doPrefetch logic cacheable\n // eslint-disable-next-line consistent-return\n this.doPrefetch(realPath).then(() => {\n if (!this.prefetchCompleted.has(pagePath)) {\n this.apiRunner(`onPostPrefetchPathname`, { pathname: pagePath })\n this.prefetchCompleted.add(pagePath)\n }\n })\n\n return true\n }\n\n doPrefetch(pagePath) {\n const pageDataUrl = createPageDataUrl(pagePath)\n return prefetchHelper(pageDataUrl, {\n crossOrigin: `anonymous`,\n as: `fetch`,\n }).then(() =>\n // This was just prefetched, so will return a response from\n // the cache instead of making another request to the server\n this.loadPageDataJson(pagePath)\n )\n }\n\n hovering(rawPath) {\n this.loadPage(rawPath)\n }\n\n getResourceURLsForPathname(rawPath) {\n const pagePath = findPath(rawPath)\n const page = this.pageDataDb.get(pagePath)\n if (page) {\n const pageResources = toPageResources(page.payload)\n\n return [\n ...createComponentUrls(pageResources.page.componentChunkName),\n createPageDataUrl(pagePath),\n ]\n } else {\n return null\n }\n }\n\n isPageNotFound(rawPath) {\n const pagePath = findPath(rawPath)\n const page = this.pageDb.get(pagePath)\n return !page || page.notFound\n }\n\n loadAppData(retries = 0) {\n return this.memoizedGet(`${__PATH_PREFIX__}/page-data/app-data.json`).then(\n req => {\n const { status, responseText } = req\n\n let appData\n\n if (status !== 200 && retries < 3) {\n // Retry 3 times incase of non-200 responses\n return this.loadAppData(retries + 1)\n }\n\n // Handle 200\n if (status === 200) {\n try {\n const jsonPayload = JSON.parse(responseText)\n if (jsonPayload.webpackCompilationHash === undefined) {\n throw new Error(`not a valid app-data response`)\n }\n\n appData = jsonPayload\n } catch (err) {\n // continue regardless of error\n }\n }\n\n return appData\n }\n )\n }\n}\n\nconst createComponentUrls = componentChunkName =>\n (window.___chunkMapping[componentChunkName] || []).map(\n chunk => __PATH_PREFIX__ + chunk\n )\n\nexport class ProdLoader extends BaseLoader {\n constructor(asyncRequires, matchPaths) {\n const loadComponent = chunkName =>\n asyncRequires.components[chunkName]\n ? asyncRequires.components[chunkName]()\n .then(preferDefault)\n // loader will handle the case when component is null\n .catch(() => null)\n : Promise.resolve()\n\n super(loadComponent, matchPaths)\n }\n\n doPrefetch(pagePath) {\n return super.doPrefetch(pagePath).then(result => {\n if (result.status !== PageResourceStatus.Success) {\n return Promise.resolve()\n }\n const pageData = result.payload\n const chunkName = pageData.componentChunkName\n const componentUrls = createComponentUrls(chunkName)\n return Promise.all(componentUrls.map(prefetchHelper)).then(() => pageData)\n })\n }\n\n loadPageDataJson(rawPath) {\n return super.loadPageDataJson(rawPath).then(data => {\n if (data.notFound) {\n // check if html file exist using HEAD request:\n // if it does we should navigate to it instead of showing 404\n return doFetch(rawPath, `HEAD`).then(req => {\n if (req.status === 200) {\n // page (.html file) actually exist (or we asked for 404 )\n // returning page resources status as errored to trigger\n // regular browser navigation to given page\n return {\n status: PageResourceStatus.Error,\n }\n }\n\n // if HEAD request wasn't 200, return notFound result\n // and show 404 page\n return data\n })\n }\n return data\n })\n }\n}\n\nlet instance\n\nexport const setLoader = _loader => {\n instance = _loader\n}\n\nexport const publicLoader = {\n // Deprecated methods. As far as we're aware, these are only used by\n // core gatsby and the offline plugin, however there's a very small\n // chance they're called by others.\n getResourcesForPathname: rawPath => {\n console.warn(\n `Warning: getResourcesForPathname is deprecated. Use loadPage instead`\n )\n return instance.i.loadPage(rawPath)\n },\n getResourcesForPathnameSync: rawPath => {\n console.warn(\n `Warning: getResourcesForPathnameSync is deprecated. Use loadPageSync instead`\n )\n return instance.i.loadPageSync(rawPath)\n },\n enqueue: rawPath => instance.prefetch(rawPath),\n\n // Real methods\n getResourceURLsForPathname: rawPath =>\n instance.getResourceURLsForPathname(rawPath),\n loadPage: rawPath => instance.loadPage(rawPath),\n loadPageSync: rawPath => instance.loadPageSync(rawPath),\n prefetch: rawPath => instance.prefetch(rawPath),\n isPageNotFound: rawPath => instance.isPageNotFound(rawPath),\n hovering: rawPath => instance.hovering(rawPath),\n loadAppData: () => instance.loadAppData(),\n}\n\nexport default publicLoader\n\nexport function getStaticQueryResults() {\n if (instance) {\n return instance.staticQueryDb\n } else {\n return {}\n }\n}\n","\"use strict\";\n\nvar _interopRequireWildcard = require(\"@babel/runtime/helpers/interopRequireWildcard\");\n\nvar _interopRequireDefault = require(\"@babel/runtime/helpers/interopRequireDefault\");\n\nexports.__esModule = true;\nexports.ScrollContainer = void 0;\n\nvar _extends2 = _interopRequireDefault(require(\"@babel/runtime/helpers/extends\"));\n\nvar _inheritsLoose2 = _interopRequireDefault(require(\"@babel/runtime/helpers/inheritsLoose\"));\n\nvar React = _interopRequireWildcard(require(\"react\"));\n\nvar _reactDom = _interopRequireDefault(require(\"react-dom\"));\n\nvar _propTypes = _interopRequireDefault(require(\"prop-types\"));\n\nvar _scrollHandler = require(\"./scroll-handler\");\n\nvar _router = require(\"@reach/router\");\n\n// TODO: In Gatsby v3, this file should be removed.\n// We are deprecating this in V2 in favor of useScrollRestoration\nvar propTypes = {\n scrollKey: _propTypes.default.string.isRequired,\n shouldUpdateScroll: _propTypes.default.func,\n children: _propTypes.default.element.isRequired\n};\nvar hasNotWarnedDeprecation = true;\n\nvar ScrollContainerImplementation = /*#__PURE__*/function (_React$Component) {\n (0, _inheritsLoose2.default)(ScrollContainerImplementation, _React$Component);\n\n function ScrollContainerImplementation(props) {\n var _this;\n\n _this = _React$Component.call(this, props) || this;\n\n if (process.env.NODE_ENV !== \"production\" && hasNotWarnedDeprecation) {\n hasNotWarnedDeprecation = false;\n console.log(\"Deprecation Warning:\\n\\n Gatsby is deprecated in Gatsby v2 and will be removed in Gatsby v3.\\n Update to the React hook alternative useScrollRestoration, like this:.\\n \\n ```\\n import React from 'react';\\n import { useScrollRestoration } from 'gatsby-react-router-scroll';\\n\\n function Component() {\\n const scrollRestoration = useScrollRestoration('\" + _this.props.scrollKey + \"');\\n\\n return
\n )\n\n for (var i = (current_page - 1); i <= (current_page + 1); i++) {\n if (i >= number_of_pages)\n continue\n if (current_page == i) {\n items.push(\n
\n\t The Centre for Linguistic Theory and Studies in Probability (CLASP) focuses its research on the application of probabilistic and information theoretic methods to the analysis of natural language.\n\t CLASP is concerned both with understanding the cognitive foundations of language and developing efficient language technology. We work at the interface of computational linguistics/natural language processing, theoretical linguistics, and cognitive science.\n\t
\n\t
\n\t CLASP is located in Gothenburg, Sweden at the University of Gothenburg. We are part of the Department of Philosophy, Linguistics and Theory of Science (FLoV).\n\t
CLASP is funded by a 10 year grant from the Swedish Research Council (2015-2025). The funding from the Swedish Research Council and GU grant allows recruitment of prof. Shalom Lappin, a senior lecturer, a researcher/project coordinator, 12 PhD and 9 postdoctoral research positions. The funding also provides means for workshops, conferences and visits of guest researchers to Gothenburg. CLASP will bring together researchers in theoretical linguistics, computational linguistics, logic, AI, cognitive psychology, and robotics.
\n \n \n \n )\n}\n\nfunction formatDate(date) {\n var d = new Date(date),\n month = '' + (d.getMonth() + 1),\n day = '' + d.getDate(),\n year = d.getFullYear();\n\n if (month.length < 2) \n month = '0' + month;\n if (day.length < 2) \n day = '0' + day;\n\n return [year, month, day].join('-');\n}\n\nexport const query = graphql`\n {\n directors: allMarkdownRemark(filter: {fields: {slug: {regex: \"/^/people//\"}}, frontmatter: {role: {eq: 0}}}) {\n people: edges {\n person: node {\n fields {\n slug\n }\n frontmatter {\n title\n name\n profileImage {\n publicURL\n }\n }\n excerpt\n }\n }\n totalCount\n }\n associate_directors: allMarkdownRemark(filter: {fields: {slug: {regex: \"/^/people//\"}}, frontmatter: {role: {eq: 1}}}) {\n people: edges {\n person: node {\n fields {\n slug\n }\n frontmatter {\n title\n name\n profileImage {\n publicURL\n }\n }\n excerpt\n }\n }\n totalCount\n }\n administrators: allMarkdownRemark(filter: {fields: {slug: {regex: \"/^/people//\"}}, frontmatter: {role: {eq: 2}}}) {\n people: edges {\n person: node {\n fields {\n slug\n }\n frontmatter {\n title\n name\n profileImage {\n publicURL\n }\n }\n excerpt\n }\n }\n totalCount\n }\n latest_news: allMarkdownRemark(filter: {fields: {slug: {regex: \"/^/news//\"}}, frontmatter: {expired: {in: false}, date: {}}}, sort: {fields: frontmatter___date, order: ASC}, limit: 5) {\n news: edges {\n news_entry: node {\n fields {\n slug\n }\n frontmatter {\n presented_by\n title\n type\n date(formatString: \"MMMM DD, YYYY\")\n expired\n bannerImage {\n publicURL\n }\n }\n excerpt\n }\n }\n totalCount\n }\n }\n`\n","'use strict';\n\nif (process.env.NODE_ENV === 'production') {\n module.exports = require('./cjs/react-is.production.min.js');\n} else {\n module.exports = require('./cjs/react-is.development.js');\n}","/*!\n Copyright (c) 2017 Jed Watson.\n Licensed under the MIT License (MIT), see\n http://jedwatson.github.io/classnames\n*/\n/* global define */\n\n(function () {\n 'use strict';\n\n var hasOwn = {}.hasOwnProperty;\n function classNames() {\n var classes = [];\n for (var i = 0; i < arguments.length; i++) {\n var arg = arguments[i];\n if (!arg) continue;\n var argType = typeof arg;\n if (argType === 'string' || argType === 'number') {\n classes.push(arg);\n } else if (Array.isArray(arg) && arg.length) {\n var inner = classNames.apply(null, arg);\n if (inner) {\n classes.push(inner);\n }\n } else if (argType === 'object') {\n for (var key in arg) {\n if (hasOwn.call(arg, key) && arg[key]) {\n classes.push(key);\n }\n }\n }\n }\n return classes.join(' ');\n }\n if (typeof module !== 'undefined' && module.exports) {\n classNames.default = classNames;\n module.exports = classNames;\n } else if (typeof define === 'function' && typeof define.amd === 'object' && define.amd) {\n // register as 'classnames', consistent with npm package name\n define('classnames', [], function () {\n return classNames;\n });\n } else {\n window.classNames = classNames;\n }\n})();","import _inheritsLoose from '@babel/runtime/helpers/esm/inheritsLoose';\nimport React from 'react';\nimport PropTypes from 'prop-types';\nimport { createMemoryHistory, createLocation, locationsAreEqual, createPath } from 'history';\nimport warning from 'tiny-warning';\nimport invariant from 'tiny-invariant';\nimport _extends from '@babel/runtime/helpers/esm/extends';\nimport pathToRegexp from 'path-to-regexp';\nimport { isValidElementType } from 'react-is';\nimport _objectWithoutPropertiesLoose from '@babel/runtime/helpers/esm/objectWithoutPropertiesLoose';\nimport hoistStatics from 'hoist-non-react-statics';\nvar MAX_SIGNED_31_BIT_INT = 1073741823;\nvar commonjsGlobal = typeof globalThis !== \"undefined\" // 'global proper'\n?\n// eslint-disable-next-line no-undef\nglobalThis : typeof window !== \"undefined\" ? window // Browser\n: typeof global !== \"undefined\" ? global // node.js\n: {};\nfunction getUniqueId() {\n var key = \"__global_unique_id__\";\n return commonjsGlobal[key] = (commonjsGlobal[key] || 0) + 1;\n} // Inlined Object.is polyfill.\n// https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Object/is\n\nfunction objectIs(x, y) {\n if (x === y) {\n return x !== 0 || 1 / x === 1 / y;\n } else {\n // eslint-disable-next-line no-self-compare\n return x !== x && y !== y;\n }\n}\nfunction createEventEmitter(value) {\n var handlers = [];\n return {\n on: function on(handler) {\n handlers.push(handler);\n },\n off: function off(handler) {\n handlers = handlers.filter(function (h) {\n return h !== handler;\n });\n },\n get: function get() {\n return value;\n },\n set: function set(newValue, changedBits) {\n value = newValue;\n handlers.forEach(function (handler) {\n return handler(value, changedBits);\n });\n }\n };\n}\nfunction onlyChild(children) {\n return Array.isArray(children) ? children[0] : children;\n}\nfunction createReactContext(defaultValue, calculateChangedBits) {\n var _Provider$childContex, _Consumer$contextType;\n var contextProp = \"__create-react-context-\" + getUniqueId() + \"__\";\n var Provider = /*#__PURE__*/function (_React$Component) {\n _inheritsLoose(Provider, _React$Component);\n function Provider() {\n var _this;\n for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n args[_key] = arguments[_key];\n }\n _this = _React$Component.call.apply(_React$Component, [this].concat(args)) || this;\n _this.emitter = createEventEmitter(_this.props.value);\n return _this;\n }\n var _proto = Provider.prototype;\n _proto.getChildContext = function getChildContext() {\n var _ref;\n return _ref = {}, _ref[contextProp] = this.emitter, _ref;\n };\n _proto.componentWillReceiveProps = function componentWillReceiveProps(nextProps) {\n if (this.props.value !== nextProps.value) {\n var oldValue = this.props.value;\n var newValue = nextProps.value;\n var changedBits;\n if (objectIs(oldValue, newValue)) {\n changedBits = 0; // No change\n } else {\n changedBits = typeof calculateChangedBits === \"function\" ? calculateChangedBits(oldValue, newValue) : MAX_SIGNED_31_BIT_INT;\n if (process.env.NODE_ENV !== \"production\") {\n process.env.NODE_ENV !== \"production\" ? warning((changedBits & MAX_SIGNED_31_BIT_INT) === changedBits, \"calculateChangedBits: Expected the return value to be a \" + \"31-bit integer. Instead received: \" + changedBits) : void 0;\n }\n changedBits |= 0;\n if (changedBits !== 0) {\n this.emitter.set(nextProps.value, changedBits);\n }\n }\n }\n };\n _proto.render = function render() {\n return this.props.children;\n };\n return Provider;\n }(React.Component);\n Provider.childContextTypes = (_Provider$childContex = {}, _Provider$childContex[contextProp] = PropTypes.object.isRequired, _Provider$childContex);\n var Consumer = /*#__PURE__*/function (_React$Component2) {\n _inheritsLoose(Consumer, _React$Component2);\n function Consumer() {\n var _this2;\n for (var _len2 = arguments.length, args = new Array(_len2), _key2 = 0; _key2 < _len2; _key2++) {\n args[_key2] = arguments[_key2];\n }\n _this2 = _React$Component2.call.apply(_React$Component2, [this].concat(args)) || this;\n _this2.observedBits = void 0;\n _this2.state = {\n value: _this2.getValue()\n };\n _this2.onUpdate = function (newValue, changedBits) {\n var observedBits = _this2.observedBits | 0;\n if ((observedBits & changedBits) !== 0) {\n _this2.setState({\n value: _this2.getValue()\n });\n }\n };\n return _this2;\n }\n var _proto2 = Consumer.prototype;\n _proto2.componentWillReceiveProps = function componentWillReceiveProps(nextProps) {\n var observedBits = nextProps.observedBits;\n this.observedBits = observedBits === undefined || observedBits === null ? MAX_SIGNED_31_BIT_INT // Subscribe to all changes by default\n : observedBits;\n };\n _proto2.componentDidMount = function componentDidMount() {\n if (this.context[contextProp]) {\n this.context[contextProp].on(this.onUpdate);\n }\n var observedBits = this.props.observedBits;\n this.observedBits = observedBits === undefined || observedBits === null ? MAX_SIGNED_31_BIT_INT // Subscribe to all changes by default\n : observedBits;\n };\n _proto2.componentWillUnmount = function componentWillUnmount() {\n if (this.context[contextProp]) {\n this.context[contextProp].off(this.onUpdate);\n }\n };\n _proto2.getValue = function getValue() {\n if (this.context[contextProp]) {\n return this.context[contextProp].get();\n } else {\n return defaultValue;\n }\n };\n _proto2.render = function render() {\n return onlyChild(this.props.children)(this.state.value);\n };\n return Consumer;\n }(React.Component);\n Consumer.contextTypes = (_Consumer$contextType = {}, _Consumer$contextType[contextProp] = PropTypes.object, _Consumer$contextType);\n return {\n Provider: Provider,\n Consumer: Consumer\n };\n}\n\n// MIT License\nvar createContext = React.createContext || createReactContext;\n\n// TODO: Replace with React.createContext once we can assume React 16+\n\nvar createNamedContext = function createNamedContext(name) {\n var context = createContext();\n context.displayName = name;\n return context;\n};\nvar historyContext = /*#__PURE__*/createNamedContext(\"Router-History\");\nvar context = /*#__PURE__*/createNamedContext(\"Router\");\n\n/**\n * The public API for putting history on context.\n */\n\nvar Router = /*#__PURE__*/function (_React$Component) {\n _inheritsLoose(Router, _React$Component);\n Router.computeRootMatch = function computeRootMatch(pathname) {\n return {\n path: \"/\",\n url: \"/\",\n params: {},\n isExact: pathname === \"/\"\n };\n };\n function Router(props) {\n var _this;\n _this = _React$Component.call(this, props) || this;\n _this.state = {\n location: props.history.location\n }; // This is a bit of a hack. We have to start listening for location\n // changes here in the constructor in case there are any s\n // on the initial render. If there are, they will replace/push when\n // they mount and since cDM fires in children before parents, we may\n // get a new location before the is mounted.\n\n _this._isMounted = false;\n _this._pendingLocation = null;\n if (!props.staticContext) {\n _this.unlisten = props.history.listen(function (location) {\n _this._pendingLocation = location;\n });\n }\n return _this;\n }\n var _proto = Router.prototype;\n _proto.componentDidMount = function componentDidMount() {\n var _this2 = this;\n this._isMounted = true;\n if (this.unlisten) {\n // Any pre-mount location changes have been captured at\n // this point, so unregister the listener.\n this.unlisten();\n }\n if (!this.props.staticContext) {\n this.unlisten = this.props.history.listen(function (location) {\n if (_this2._isMounted) {\n _this2.setState({\n location: location\n });\n }\n });\n }\n if (this._pendingLocation) {\n this.setState({\n location: this._pendingLocation\n });\n }\n };\n _proto.componentWillUnmount = function componentWillUnmount() {\n if (this.unlisten) {\n this.unlisten();\n this._isMounted = false;\n this._pendingLocation = null;\n }\n };\n _proto.render = function render() {\n return /*#__PURE__*/React.createElement(context.Provider, {\n value: {\n history: this.props.history,\n location: this.state.location,\n match: Router.computeRootMatch(this.state.location.pathname),\n staticContext: this.props.staticContext\n }\n }, /*#__PURE__*/React.createElement(historyContext.Provider, {\n children: this.props.children || null,\n value: this.props.history\n }));\n };\n return Router;\n}(React.Component);\nif (process.env.NODE_ENV !== \"production\") {\n Router.prototype.componentDidUpdate = function (prevProps) {\n process.env.NODE_ENV !== \"production\" ? warning(prevProps.history === this.props.history, \"You cannot change \") : void 0;\n };\n}\n\n/**\n * The public API for a that stores location in memory.\n */\n\nvar MemoryRouter = /*#__PURE__*/function (_React$Component) {\n _inheritsLoose(MemoryRouter, _React$Component);\n function MemoryRouter() {\n var _this;\n for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n args[_key] = arguments[_key];\n }\n _this = _React$Component.call.apply(_React$Component, [this].concat(args)) || this;\n _this.history = createMemoryHistory(_this.props);\n return _this;\n }\n var _proto = MemoryRouter.prototype;\n _proto.render = function render() {\n return /*#__PURE__*/React.createElement(Router, {\n history: this.history,\n children: this.props.children\n });\n };\n return MemoryRouter;\n}(React.Component);\nif (process.env.NODE_ENV !== \"production\") {\n MemoryRouter.prototype.componentDidMount = function () {\n process.env.NODE_ENV !== \"production\" ? warning(!this.props.history, \" ignores the history prop. To use a custom history, \" + \"use `import { Router }` instead of `import { MemoryRouter as Router }`.\") : void 0;\n };\n}\nvar Lifecycle = /*#__PURE__*/function (_React$Component) {\n _inheritsLoose(Lifecycle, _React$Component);\n function Lifecycle() {\n return _React$Component.apply(this, arguments) || this;\n }\n var _proto = Lifecycle.prototype;\n _proto.componentDidMount = function componentDidMount() {\n if (this.props.onMount) this.props.onMount.call(this, this);\n };\n _proto.componentDidUpdate = function componentDidUpdate(prevProps) {\n if (this.props.onUpdate) this.props.onUpdate.call(this, this, prevProps);\n };\n _proto.componentWillUnmount = function componentWillUnmount() {\n if (this.props.onUnmount) this.props.onUnmount.call(this, this);\n };\n _proto.render = function render() {\n return null;\n };\n return Lifecycle;\n}(React.Component);\n\n/**\n * The public API for prompting the user before navigating away from a screen.\n */\n\nfunction Prompt(_ref) {\n var message = _ref.message,\n _ref$when = _ref.when,\n when = _ref$when === void 0 ? true : _ref$when;\n return /*#__PURE__*/React.createElement(context.Consumer, null, function (context) {\n !context ? process.env.NODE_ENV !== \"production\" ? invariant(false, \"You should not use outside a \") : invariant(false) : void 0;\n if (!when || context.staticContext) return null;\n var method = context.history.block;\n return /*#__PURE__*/React.createElement(Lifecycle, {\n onMount: function onMount(self) {\n self.release = method(message);\n },\n onUpdate: function onUpdate(self, prevProps) {\n if (prevProps.message !== message) {\n self.release();\n self.release = method(message);\n }\n },\n onUnmount: function onUnmount(self) {\n self.release();\n },\n message: message\n });\n });\n}\nif (process.env.NODE_ENV !== \"production\") {\n var messageType = PropTypes.oneOfType([PropTypes.func, PropTypes.string]);\n}\nvar cache = {};\nvar cacheLimit = 10000;\nvar cacheCount = 0;\nfunction compilePath(path) {\n if (cache[path]) return cache[path];\n var generator = pathToRegexp.compile(path);\n if (cacheCount < cacheLimit) {\n cache[path] = generator;\n cacheCount++;\n }\n return generator;\n}\n/**\n * Public API for generating a URL pathname from a path and parameters.\n */\n\nfunction generatePath(path, params) {\n if (path === void 0) {\n path = \"/\";\n }\n if (params === void 0) {\n params = {};\n }\n return path === \"/\" ? path : compilePath(path)(params, {\n pretty: true\n });\n}\n\n/**\n * The public API for navigating programmatically with a component.\n */\n\nfunction Redirect(_ref) {\n var computedMatch = _ref.computedMatch,\n to = _ref.to,\n _ref$push = _ref.push,\n push = _ref$push === void 0 ? false : _ref$push;\n return /*#__PURE__*/React.createElement(context.Consumer, null, function (context) {\n !context ? process.env.NODE_ENV !== \"production\" ? invariant(false, \"You should not use outside a \") : invariant(false) : void 0;\n var history = context.history,\n staticContext = context.staticContext;\n var method = push ? history.push : history.replace;\n var location = createLocation(computedMatch ? typeof to === \"string\" ? generatePath(to, computedMatch.params) : _extends({}, to, {\n pathname: generatePath(to.pathname, computedMatch.params)\n }) : to); // When rendering in a static context,\n // set the new location immediately.\n\n if (staticContext) {\n method(location);\n return null;\n }\n return /*#__PURE__*/React.createElement(Lifecycle, {\n onMount: function onMount() {\n method(location);\n },\n onUpdate: function onUpdate(self, prevProps) {\n var prevLocation = createLocation(prevProps.to);\n if (!locationsAreEqual(prevLocation, _extends({}, location, {\n key: prevLocation.key\n }))) {\n method(location);\n }\n },\n to: to\n });\n });\n}\nif (process.env.NODE_ENV !== \"production\") {}\nvar cache$1 = {};\nvar cacheLimit$1 = 10000;\nvar cacheCount$1 = 0;\nfunction compilePath$1(path, options) {\n var cacheKey = \"\" + options.end + options.strict + options.sensitive;\n var pathCache = cache$1[cacheKey] || (cache$1[cacheKey] = {});\n if (pathCache[path]) return pathCache[path];\n var keys = [];\n var regexp = pathToRegexp(path, keys, options);\n var result = {\n regexp: regexp,\n keys: keys\n };\n if (cacheCount$1 < cacheLimit$1) {\n pathCache[path] = result;\n cacheCount$1++;\n }\n return result;\n}\n/**\n * Public API for matching a URL pathname to a path.\n */\n\nfunction matchPath(pathname, options) {\n if (options === void 0) {\n options = {};\n }\n if (typeof options === \"string\" || Array.isArray(options)) {\n options = {\n path: options\n };\n }\n var _options = options,\n path = _options.path,\n _options$exact = _options.exact,\n exact = _options$exact === void 0 ? false : _options$exact,\n _options$strict = _options.strict,\n strict = _options$strict === void 0 ? false : _options$strict,\n _options$sensitive = _options.sensitive,\n sensitive = _options$sensitive === void 0 ? false : _options$sensitive;\n var paths = [].concat(path);\n return paths.reduce(function (matched, path) {\n if (!path && path !== \"\") return null;\n if (matched) return matched;\n var _compilePath = compilePath$1(path, {\n end: exact,\n strict: strict,\n sensitive: sensitive\n }),\n regexp = _compilePath.regexp,\n keys = _compilePath.keys;\n var match = regexp.exec(pathname);\n if (!match) return null;\n var url = match[0],\n values = match.slice(1);\n var isExact = pathname === url;\n if (exact && !isExact) return null;\n return {\n path: path,\n // the path used to match\n url: path === \"/\" && url === \"\" ? \"/\" : url,\n // the matched portion of the URL\n isExact: isExact,\n // whether or not we matched exactly\n params: keys.reduce(function (memo, key, index) {\n memo[key.name] = values[index];\n return memo;\n }, {})\n };\n }, null);\n}\nfunction isEmptyChildren(children) {\n return React.Children.count(children) === 0;\n}\nfunction evalChildrenDev(children, props, path) {\n var value = children(props);\n process.env.NODE_ENV !== \"production\" ? warning(value !== undefined, \"You returned `undefined` from the `children` function of \" + (\", but you \") + \"should have returned a React element or `null`\") : void 0;\n return value || null;\n}\n/**\n * The public API for matching a single path and rendering.\n */\n\nvar Route = /*#__PURE__*/function (_React$Component) {\n _inheritsLoose(Route, _React$Component);\n function Route() {\n return _React$Component.apply(this, arguments) || this;\n }\n var _proto = Route.prototype;\n _proto.render = function render() {\n var _this = this;\n return /*#__PURE__*/React.createElement(context.Consumer, null, function (context$1) {\n !context$1 ? process.env.NODE_ENV !== \"production\" ? invariant(false, \"You should not use outside a \") : invariant(false) : void 0;\n var location = _this.props.location || context$1.location;\n var match = _this.props.computedMatch ? _this.props.computedMatch // already computed the match for us\n : _this.props.path ? matchPath(location.pathname, _this.props) : context$1.match;\n var props = _extends({}, context$1, {\n location: location,\n match: match\n });\n var _this$props = _this.props,\n children = _this$props.children,\n component = _this$props.component,\n render = _this$props.render; // Preact uses an empty array as children by\n // default, so use null if that's the case.\n\n if (Array.isArray(children) && isEmptyChildren(children)) {\n children = null;\n }\n return /*#__PURE__*/React.createElement(context.Provider, {\n value: props\n }, props.match ? children ? typeof children === \"function\" ? process.env.NODE_ENV !== \"production\" ? evalChildrenDev(children, props, _this.props.path) : children(props) : children : component ? /*#__PURE__*/React.createElement(component, props) : render ? render(props) : null : typeof children === \"function\" ? process.env.NODE_ENV !== \"production\" ? evalChildrenDev(children, props, _this.props.path) : children(props) : null);\n });\n };\n return Route;\n}(React.Component);\nif (process.env.NODE_ENV !== \"production\") {\n Route.prototype.componentDidMount = function () {\n process.env.NODE_ENV !== \"production\" ? warning(!(this.props.children && !isEmptyChildren(this.props.children) && this.props.component), \"You should not use and in the same route; will be ignored\") : void 0;\n process.env.NODE_ENV !== \"production\" ? warning(!(this.props.children && !isEmptyChildren(this.props.children) && this.props.render), \"You should not use and in the same route; will be ignored\") : void 0;\n process.env.NODE_ENV !== \"production\" ? warning(!(this.props.component && this.props.render), \"You should not use and in the same route; will be ignored\") : void 0;\n };\n Route.prototype.componentDidUpdate = function (prevProps) {\n process.env.NODE_ENV !== \"production\" ? warning(!(this.props.location && !prevProps.location), ' elements should not change from uncontrolled to controlled (or vice versa). You initially used no \"location\" prop and then provided one on a subsequent render.') : void 0;\n process.env.NODE_ENV !== \"production\" ? warning(!(!this.props.location && prevProps.location), ' elements should not change from controlled to uncontrolled (or vice versa). You provided a \"location\" prop initially but omitted it on a subsequent render.') : void 0;\n };\n}\nfunction addLeadingSlash(path) {\n return path.charAt(0) === \"/\" ? path : \"/\" + path;\n}\nfunction addBasename(basename, location) {\n if (!basename) return location;\n return _extends({}, location, {\n pathname: addLeadingSlash(basename) + location.pathname\n });\n}\nfunction stripBasename(basename, location) {\n if (!basename) return location;\n var base = addLeadingSlash(basename);\n if (location.pathname.indexOf(base) !== 0) return location;\n return _extends({}, location, {\n pathname: location.pathname.substr(base.length)\n });\n}\nfunction createURL(location) {\n return typeof location === \"string\" ? location : createPath(location);\n}\nfunction staticHandler(methodName) {\n return function () {\n process.env.NODE_ENV !== \"production\" ? invariant(false, \"You cannot %s with \", methodName) : invariant(false);\n };\n}\nfunction noop() {}\n/**\n * The public top-level API for a \"static\" , so-called because it\n * can't actually change the current location. Instead, it just records\n * location changes in a context object. Useful mainly in testing and\n * server-rendering scenarios.\n */\n\nvar StaticRouter = /*#__PURE__*/function (_React$Component) {\n _inheritsLoose(StaticRouter, _React$Component);\n function StaticRouter() {\n var _this;\n for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n args[_key] = arguments[_key];\n }\n _this = _React$Component.call.apply(_React$Component, [this].concat(args)) || this;\n _this.handlePush = function (location) {\n return _this.navigateTo(location, \"PUSH\");\n };\n _this.handleReplace = function (location) {\n return _this.navigateTo(location, \"REPLACE\");\n };\n _this.handleListen = function () {\n return noop;\n };\n _this.handleBlock = function () {\n return noop;\n };\n return _this;\n }\n var _proto = StaticRouter.prototype;\n _proto.navigateTo = function navigateTo(location, action) {\n var _this$props = this.props,\n _this$props$basename = _this$props.basename,\n basename = _this$props$basename === void 0 ? \"\" : _this$props$basename,\n _this$props$context = _this$props.context,\n context = _this$props$context === void 0 ? {} : _this$props$context;\n context.action = action;\n context.location = addBasename(basename, createLocation(location));\n context.url = createURL(context.location);\n };\n _proto.render = function render() {\n var _this$props2 = this.props,\n _this$props2$basename = _this$props2.basename,\n basename = _this$props2$basename === void 0 ? \"\" : _this$props2$basename,\n _this$props2$context = _this$props2.context,\n context = _this$props2$context === void 0 ? {} : _this$props2$context,\n _this$props2$location = _this$props2.location,\n location = _this$props2$location === void 0 ? \"/\" : _this$props2$location,\n rest = _objectWithoutPropertiesLoose(_this$props2, [\"basename\", \"context\", \"location\"]);\n var history = {\n createHref: function createHref(path) {\n return addLeadingSlash(basename + createURL(path));\n },\n action: \"POP\",\n location: stripBasename(basename, createLocation(location)),\n push: this.handlePush,\n replace: this.handleReplace,\n go: staticHandler(\"go\"),\n goBack: staticHandler(\"goBack\"),\n goForward: staticHandler(\"goForward\"),\n listen: this.handleListen,\n block: this.handleBlock\n };\n return /*#__PURE__*/React.createElement(Router, _extends({}, rest, {\n history: history,\n staticContext: context\n }));\n };\n return StaticRouter;\n}(React.Component);\nif (process.env.NODE_ENV !== \"production\") {\n StaticRouter.prototype.componentDidMount = function () {\n process.env.NODE_ENV !== \"production\" ? warning(!this.props.history, \" ignores the history prop. To use a custom history, \" + \"use `import { Router }` instead of `import { StaticRouter as Router }`.\") : void 0;\n };\n}\n\n/**\n * The public API for rendering the first that matches.\n */\n\nvar Switch = /*#__PURE__*/function (_React$Component) {\n _inheritsLoose(Switch, _React$Component);\n function Switch() {\n return _React$Component.apply(this, arguments) || this;\n }\n var _proto = Switch.prototype;\n _proto.render = function render() {\n var _this = this;\n return /*#__PURE__*/React.createElement(context.Consumer, null, function (context) {\n !context ? process.env.NODE_ENV !== \"production\" ? invariant(false, \"You should not use outside a \") : invariant(false) : void 0;\n var location = _this.props.location || context.location;\n var element, match; // We use React.Children.forEach instead of React.Children.toArray().find()\n // here because toArray adds keys to all child elements and we do not want\n // to trigger an unmount/remount for two s that render the same\n // component at different URLs.\n\n React.Children.forEach(_this.props.children, function (child) {\n if (match == null && /*#__PURE__*/React.isValidElement(child)) {\n element = child;\n var path = child.props.path || child.props.from;\n match = path ? matchPath(location.pathname, _extends({}, child.props, {\n path: path\n })) : context.match;\n }\n });\n return match ? /*#__PURE__*/React.cloneElement(element, {\n location: location,\n computedMatch: match\n }) : null;\n });\n };\n return Switch;\n}(React.Component);\nif (process.env.NODE_ENV !== \"production\") {\n Switch.prototype.componentDidUpdate = function (prevProps) {\n process.env.NODE_ENV !== \"production\" ? warning(!(this.props.location && !prevProps.location), ' elements should not change from uncontrolled to controlled (or vice versa). You initially used no \"location\" prop and then provided one on a subsequent render.') : void 0;\n process.env.NODE_ENV !== \"production\" ? warning(!(!this.props.location && prevProps.location), ' elements should not change from controlled to uncontrolled (or vice versa). You provided a \"location\" prop initially but omitted it on a subsequent render.') : void 0;\n };\n}\n\n/**\n * A public higher-order component to access the imperative API\n */\n\nfunction withRouter(Component) {\n var displayName = \"withRouter(\" + (Component.displayName || Component.name) + \")\";\n var C = function C(props) {\n var wrappedComponentRef = props.wrappedComponentRef,\n remainingProps = _objectWithoutPropertiesLoose(props, [\"wrappedComponentRef\"]);\n return /*#__PURE__*/React.createElement(context.Consumer, null, function (context) {\n !context ? process.env.NODE_ENV !== \"production\" ? invariant(false, \"You should not use <\" + displayName + \" /> outside a \") : invariant(false) : void 0;\n return /*#__PURE__*/React.createElement(Component, _extends({}, remainingProps, context, {\n ref: wrappedComponentRef\n }));\n });\n };\n C.displayName = displayName;\n C.WrappedComponent = Component;\n if (process.env.NODE_ENV !== \"production\") {}\n return hoistStatics(C, Component);\n}\nvar useContext = React.useContext;\nfunction useHistory() {\n if (process.env.NODE_ENV !== \"production\") {\n !(typeof useContext === \"function\") ? process.env.NODE_ENV !== \"production\" ? invariant(false, \"You must use React >= 16.8 in order to use useHistory()\") : invariant(false) : void 0;\n }\n return useContext(historyContext);\n}\nfunction useLocation() {\n if (process.env.NODE_ENV !== \"production\") {\n !(typeof useContext === \"function\") ? process.env.NODE_ENV !== \"production\" ? invariant(false, \"You must use React >= 16.8 in order to use useLocation()\") : invariant(false) : void 0;\n }\n return useContext(context).location;\n}\nfunction useParams() {\n if (process.env.NODE_ENV !== \"production\") {\n !(typeof useContext === \"function\") ? process.env.NODE_ENV !== \"production\" ? invariant(false, \"You must use React >= 16.8 in order to use useParams()\") : invariant(false) : void 0;\n }\n var match = useContext(context).match;\n return match ? match.params : {};\n}\nfunction useRouteMatch(path) {\n if (process.env.NODE_ENV !== \"production\") {\n !(typeof useContext === \"function\") ? process.env.NODE_ENV !== \"production\" ? invariant(false, \"You must use React >= 16.8 in order to use useRouteMatch()\") : invariant(false) : void 0;\n }\n var location = useLocation();\n var match = useContext(context).match;\n return path ? matchPath(location.pathname, path) : match;\n}\nif (process.env.NODE_ENV !== \"production\") {\n if (typeof window !== \"undefined\") {\n var global$1 = window;\n var key = \"__react_router_build__\";\n var buildNames = {\n cjs: \"CommonJS\",\n esm: \"ES modules\",\n umd: \"UMD\"\n };\n if (global$1[key] && global$1[key] !== \"esm\") {\n var initialBuildName = buildNames[global$1[key]];\n var secondaryBuildName = buildNames[\"esm\"]; // TODO: Add link to article that explains in detail how to avoid\n // loading 2 different builds.\n\n throw new Error(\"You are loading the \" + secondaryBuildName + \" build of React Router \" + (\"on a page that is already running the \" + initialBuildName + \" \") + \"build, so things won't work right.\");\n }\n global$1[key] = \"esm\";\n }\n}\nexport { MemoryRouter, Prompt, Redirect, Route, Router, StaticRouter, Switch, historyContext as __HistoryContext, context as __RouterContext, generatePath, matchPath, useHistory, useLocation, useParams, useRouteMatch, withRouter };","'use strict';\n\nvar define = require('define-data-property');\nvar hasDescriptors = require('has-property-descriptors')();\nvar functionsHaveConfigurableNames = require('functions-have-names').functionsHaveConfigurableNames();\nvar $TypeError = TypeError;\nmodule.exports = function setFunctionName(fn, name) {\n if (typeof fn !== 'function') {\n throw new $TypeError('`fn` is not a function');\n }\n var loose = arguments.length > 2 && !!arguments[2];\n if (!loose || functionsHaveConfigurableNames) {\n if (hasDescriptors) {\n define(fn, 'name', name, true, true);\n } else {\n define(fn, 'name', name);\n }\n }\n return fn;\n};","module.exports = extend;\nvar hasOwnProperty = Object.prototype.hasOwnProperty;\nfunction extend() {\n var target = {};\n for (var i = 0; i < arguments.length; i++) {\n var source = arguments[i];\n for (var key in source) {\n if (hasOwnProperty.call(source, key)) {\n target[key] = source[key];\n }\n }\n }\n return target;\n}","'use strict';\n\nvar origSymbol = typeof Symbol !== 'undefined' && Symbol;\nvar hasSymbolSham = require('./shams');\nmodule.exports = function hasNativeSymbols() {\n if (typeof origSymbol !== 'function') {\n return false;\n }\n if (typeof Symbol !== 'function') {\n return false;\n }\n if (typeof origSymbol('foo') !== 'symbol') {\n return false;\n }\n if (typeof Symbol('bar') !== 'symbol') {\n return false;\n }\n return hasSymbolSham();\n};","'use strict';\n\nrequire(\"core-js/modules/es.regexp.flags.js\");\nvar implementation = require('./implementation');\nvar supportsDescriptors = require('define-properties').supportsDescriptors;\nvar $gOPD = Object.getOwnPropertyDescriptor;\nmodule.exports = function getPolyfill() {\n if (supportsDescriptors && /a/mig.flags === 'gim') {\n var descriptor = $gOPD(RegExp.prototype, 'flags');\n if (descriptor && typeof descriptor.get === 'function' && typeof RegExp.prototype.dotAll === 'boolean' && typeof RegExp.prototype.hasIndices === 'boolean') {\n /* eslint getter-return: 0 */\n var calls = '';\n var o = {};\n Object.defineProperty(o, 'hasIndices', {\n get: function () {\n calls += 'd';\n }\n });\n Object.defineProperty(o, 'sticky', {\n get: function () {\n calls += 'y';\n }\n });\n if (calls === 'dy') {\n return descriptor.get;\n }\n }\n }\n return implementation;\n};","'use strict';\n\nvar GetIntrinsic = require('get-intrinsic');\nvar callBind = require('./');\nvar $indexOf = callBind(GetIntrinsic('String.prototype.indexOf'));\nmodule.exports = function callBoundIntrinsic(name, allowMissing) {\n var intrinsic = GetIntrinsic(name, !!allowMissing);\n if (typeof intrinsic === 'function' && $indexOf(name, '.prototype.') > -1) {\n return callBind(intrinsic);\n }\n return intrinsic;\n};","'use strict';\n\nvar setFunctionName = require('set-function-name');\nvar $Object = Object;\nvar $TypeError = TypeError;\nmodule.exports = setFunctionName(function flags() {\n if (this != null && this !== $Object(this)) {\n throw new $TypeError('RegExp.prototype.flags getter called on non-object');\n }\n var result = '';\n if (this.hasIndices) {\n result += 'd';\n }\n if (this.global) {\n result += 'g';\n }\n if (this.ignoreCase) {\n result += 'i';\n }\n if (this.multiline) {\n result += 'm';\n }\n if (this.dotAll) {\n result += 's';\n }\n if (this.unicode) {\n result += 'u';\n }\n if (this.unicodeSets) {\n result += 'v';\n }\n if (this.sticky) {\n result += 'y';\n }\n return result;\n}, 'get flags', true);","'use strict';\n\nvar implementation = require('./implementation');\nmodule.exports = function getPolyfill() {\n return typeof Object.is === 'function' ? Object.is : implementation;\n};","module.exports = function(module) {\n\tif (!module.webpackPolyfill) {\n\t\tmodule.deprecate = function() {};\n\t\tmodule.paths = [];\n\t\t// module.parent = undefined by default\n\t\tif (!module.children) module.children = [];\n\t\tObject.defineProperty(module, \"loaded\", {\n\t\t\tenumerable: true,\n\t\t\tget: function() {\n\t\t\t\treturn module.l;\n\t\t\t}\n\t\t});\n\t\tObject.defineProperty(module, \"id\", {\n\t\t\tenumerable: true,\n\t\t\tget: function() {\n\t\t\t\treturn module.i;\n\t\t\t}\n\t\t});\n\t\tmodule.webpackPolyfill = 1;\n\t}\n\treturn module;\n};\n","'use strict';\n\nvar GetIntrinsic = require('get-intrinsic');\nvar $defineProperty = GetIntrinsic('%Object.defineProperty%', true);\nvar hasPropertyDescriptors = function hasPropertyDescriptors() {\n if ($defineProperty) {\n try {\n $defineProperty({}, 'a', {\n value: 1\n });\n return true;\n } catch (e) {\n // IE 8 has a broken defineProperty\n return false;\n }\n }\n return false;\n};\nhasPropertyDescriptors.hasArrayLengthDefineBug = function hasArrayLengthDefineBug() {\n // node v0.6 has a bug where array lengths can be Set but not Defined\n if (!hasPropertyDescriptors()) {\n return null;\n }\n try {\n return $defineProperty([], 'length', {\n value: 1\n }).length !== 1;\n } catch (e) {\n // In Firefox 4-22, defining length on an array throws an exception.\n return true;\n }\n};\nmodule.exports = hasPropertyDescriptors;","//! moment.js\n\n;\n(function (global, factory) {\n typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() : typeof define === 'function' && define.amd ? define(factory) : global.moment = factory();\n})(this, function () {\n 'use strict';\n\n var hookCallback;\n function hooks() {\n return hookCallback.apply(null, arguments);\n }\n\n // This is done to register the method called with moment()\n // without creating circular dependencies.\n function setHookCallback(callback) {\n hookCallback = callback;\n }\n function isArray(input) {\n return input instanceof Array || Object.prototype.toString.call(input) === '[object Array]';\n }\n function isObject(input) {\n // IE8 will treat undefined and null as object if it wasn't for\n // input != null\n return input != null && Object.prototype.toString.call(input) === '[object Object]';\n }\n function isObjectEmpty(obj) {\n if (Object.getOwnPropertyNames) {\n return Object.getOwnPropertyNames(obj).length === 0;\n } else {\n var k;\n for (k in obj) {\n if (obj.hasOwnProperty(k)) {\n return false;\n }\n }\n return true;\n }\n }\n function isUndefined(input) {\n return input === void 0;\n }\n function isNumber(input) {\n return typeof input === 'number' || Object.prototype.toString.call(input) === '[object Number]';\n }\n function isDate(input) {\n return input instanceof Date || Object.prototype.toString.call(input) === '[object Date]';\n }\n function map(arr, fn) {\n var res = [],\n i;\n for (i = 0; i < arr.length; ++i) {\n res.push(fn(arr[i], i));\n }\n return res;\n }\n function hasOwnProp(a, b) {\n return Object.prototype.hasOwnProperty.call(a, b);\n }\n function extend(a, b) {\n for (var i in b) {\n if (hasOwnProp(b, i)) {\n a[i] = b[i];\n }\n }\n if (hasOwnProp(b, 'toString')) {\n a.toString = b.toString;\n }\n if (hasOwnProp(b, 'valueOf')) {\n a.valueOf = b.valueOf;\n }\n return a;\n }\n function createUTC(input, format, locale, strict) {\n return createLocalOrUTC(input, format, locale, strict, true).utc();\n }\n function defaultParsingFlags() {\n // We need to deep clone this object.\n return {\n empty: false,\n unusedTokens: [],\n unusedInput: [],\n overflow: -2,\n charsLeftOver: 0,\n nullInput: false,\n invalidMonth: null,\n invalidFormat: false,\n userInvalidated: false,\n iso: false,\n parsedDateParts: [],\n meridiem: null,\n rfc2822: false,\n weekdayMismatch: false\n };\n }\n function getParsingFlags(m) {\n if (m._pf == null) {\n m._pf = defaultParsingFlags();\n }\n return m._pf;\n }\n var some;\n if (Array.prototype.some) {\n some = Array.prototype.some;\n } else {\n some = function (fun) {\n var t = Object(this);\n var len = t.length >>> 0;\n for (var i = 0; i < len; i++) {\n if (i in t && fun.call(this, t[i], i, t)) {\n return true;\n }\n }\n return false;\n };\n }\n function isValid(m) {\n if (m._isValid == null) {\n var flags = getParsingFlags(m);\n var parsedParts = some.call(flags.parsedDateParts, function (i) {\n return i != null;\n });\n var isNowValid = !isNaN(m._d.getTime()) && flags.overflow < 0 && !flags.empty && !flags.invalidMonth && !flags.invalidWeekday && !flags.weekdayMismatch && !flags.nullInput && !flags.invalidFormat && !flags.userInvalidated && (!flags.meridiem || flags.meridiem && parsedParts);\n if (m._strict) {\n isNowValid = isNowValid && flags.charsLeftOver === 0 && flags.unusedTokens.length === 0 && flags.bigHour === undefined;\n }\n if (Object.isFrozen == null || !Object.isFrozen(m)) {\n m._isValid = isNowValid;\n } else {\n return isNowValid;\n }\n }\n return m._isValid;\n }\n function createInvalid(flags) {\n var m = createUTC(NaN);\n if (flags != null) {\n extend(getParsingFlags(m), flags);\n } else {\n getParsingFlags(m).userInvalidated = true;\n }\n return m;\n }\n\n // Plugins that add properties should also add the key here (null value),\n // so we can properly clone ourselves.\n var momentProperties = hooks.momentProperties = [];\n function copyConfig(to, from) {\n var i, prop, val;\n if (!isUndefined(from._isAMomentObject)) {\n to._isAMomentObject = from._isAMomentObject;\n }\n if (!isUndefined(from._i)) {\n to._i = from._i;\n }\n if (!isUndefined(from._f)) {\n to._f = from._f;\n }\n if (!isUndefined(from._l)) {\n to._l = from._l;\n }\n if (!isUndefined(from._strict)) {\n to._strict = from._strict;\n }\n if (!isUndefined(from._tzm)) {\n to._tzm = from._tzm;\n }\n if (!isUndefined(from._isUTC)) {\n to._isUTC = from._isUTC;\n }\n if (!isUndefined(from._offset)) {\n to._offset = from._offset;\n }\n if (!isUndefined(from._pf)) {\n to._pf = getParsingFlags(from);\n }\n if (!isUndefined(from._locale)) {\n to._locale = from._locale;\n }\n if (momentProperties.length > 0) {\n for (i = 0; i < momentProperties.length; i++) {\n prop = momentProperties[i];\n val = from[prop];\n if (!isUndefined(val)) {\n to[prop] = val;\n }\n }\n }\n return to;\n }\n var updateInProgress = false;\n\n // Moment prototype object\n function Moment(config) {\n copyConfig(this, config);\n this._d = new Date(config._d != null ? config._d.getTime() : NaN);\n if (!this.isValid()) {\n this._d = new Date(NaN);\n }\n // Prevent infinite loop in case updateOffset creates new moment\n // objects.\n if (updateInProgress === false) {\n updateInProgress = true;\n hooks.updateOffset(this);\n updateInProgress = false;\n }\n }\n function isMoment(obj) {\n return obj instanceof Moment || obj != null && obj._isAMomentObject != null;\n }\n function absFloor(number) {\n if (number < 0) {\n // -0 -> 0\n return Math.ceil(number) || 0;\n } else {\n return Math.floor(number);\n }\n }\n function toInt(argumentForCoercion) {\n var coercedNumber = +argumentForCoercion,\n value = 0;\n if (coercedNumber !== 0 && isFinite(coercedNumber)) {\n value = absFloor(coercedNumber);\n }\n return value;\n }\n\n // compare two arrays, return the number of differences\n function compareArrays(array1, array2, dontConvert) {\n var len = Math.min(array1.length, array2.length),\n lengthDiff = Math.abs(array1.length - array2.length),\n diffs = 0,\n i;\n for (i = 0; i < len; i++) {\n if (dontConvert && array1[i] !== array2[i] || !dontConvert && toInt(array1[i]) !== toInt(array2[i])) {\n diffs++;\n }\n }\n return diffs + lengthDiff;\n }\n function warn(msg) {\n if (hooks.suppressDeprecationWarnings === false && typeof console !== 'undefined' && console.warn) {\n console.warn('Deprecation warning: ' + msg);\n }\n }\n function deprecate(msg, fn) {\n var firstTime = true;\n return extend(function () {\n if (hooks.deprecationHandler != null) {\n hooks.deprecationHandler(null, msg);\n }\n if (firstTime) {\n var args = [];\n var arg;\n for (var i = 0; i < arguments.length; i++) {\n arg = '';\n if (typeof arguments[i] === 'object') {\n arg += '\\n[' + i + '] ';\n for (var key in arguments[0]) {\n arg += key + ': ' + arguments[0][key] + ', ';\n }\n arg = arg.slice(0, -2); // Remove trailing comma and space\n } else {\n arg = arguments[i];\n }\n args.push(arg);\n }\n warn(msg + '\\nArguments: ' + Array.prototype.slice.call(args).join('') + '\\n' + new Error().stack);\n firstTime = false;\n }\n return fn.apply(this, arguments);\n }, fn);\n }\n var deprecations = {};\n function deprecateSimple(name, msg) {\n if (hooks.deprecationHandler != null) {\n hooks.deprecationHandler(name, msg);\n }\n if (!deprecations[name]) {\n warn(msg);\n deprecations[name] = true;\n }\n }\n hooks.suppressDeprecationWarnings = false;\n hooks.deprecationHandler = null;\n function isFunction(input) {\n return input instanceof Function || Object.prototype.toString.call(input) === '[object Function]';\n }\n function set(config) {\n var prop, i;\n for (i in config) {\n prop = config[i];\n if (isFunction(prop)) {\n this[i] = prop;\n } else {\n this['_' + i] = prop;\n }\n }\n this._config = config;\n // Lenient ordinal parsing accepts just a number in addition to\n // number + (possibly) stuff coming from _dayOfMonthOrdinalParse.\n // TODO: Remove \"ordinalParse\" fallback in next major release.\n this._dayOfMonthOrdinalParseLenient = new RegExp((this._dayOfMonthOrdinalParse.source || this._ordinalParse.source) + '|' + /\\d{1,2}/.source);\n }\n function mergeConfigs(parentConfig, childConfig) {\n var res = extend({}, parentConfig),\n prop;\n for (prop in childConfig) {\n if (hasOwnProp(childConfig, prop)) {\n if (isObject(parentConfig[prop]) && isObject(childConfig[prop])) {\n res[prop] = {};\n extend(res[prop], parentConfig[prop]);\n extend(res[prop], childConfig[prop]);\n } else if (childConfig[prop] != null) {\n res[prop] = childConfig[prop];\n } else {\n delete res[prop];\n }\n }\n }\n for (prop in parentConfig) {\n if (hasOwnProp(parentConfig, prop) && !hasOwnProp(childConfig, prop) && isObject(parentConfig[prop])) {\n // make sure changes to properties don't modify parent config\n res[prop] = extend({}, res[prop]);\n }\n }\n return res;\n }\n function Locale(config) {\n if (config != null) {\n this.set(config);\n }\n }\n var keys;\n if (Object.keys) {\n keys = Object.keys;\n } else {\n keys = function (obj) {\n var i,\n res = [];\n for (i in obj) {\n if (hasOwnProp(obj, i)) {\n res.push(i);\n }\n }\n return res;\n };\n }\n var defaultCalendar = {\n sameDay: '[Today at] LT',\n nextDay: '[Tomorrow at] LT',\n nextWeek: 'dddd [at] LT',\n lastDay: '[Yesterday at] LT',\n lastWeek: '[Last] dddd [at] LT',\n sameElse: 'L'\n };\n function calendar(key, mom, now) {\n var output = this._calendar[key] || this._calendar['sameElse'];\n return isFunction(output) ? output.call(mom, now) : output;\n }\n var defaultLongDateFormat = {\n LTS: 'h:mm:ss A',\n LT: 'h:mm A',\n L: 'MM/DD/YYYY',\n LL: 'MMMM D, YYYY',\n LLL: 'MMMM D, YYYY h:mm A',\n LLLL: 'dddd, MMMM D, YYYY h:mm A'\n };\n function longDateFormat(key) {\n var format = this._longDateFormat[key],\n formatUpper = this._longDateFormat[key.toUpperCase()];\n if (format || !formatUpper) {\n return format;\n }\n this._longDateFormat[key] = formatUpper.replace(/MMMM|MM|DD|dddd/g, function (val) {\n return val.slice(1);\n });\n return this._longDateFormat[key];\n }\n var defaultInvalidDate = 'Invalid date';\n function invalidDate() {\n return this._invalidDate;\n }\n var defaultOrdinal = '%d';\n var defaultDayOfMonthOrdinalParse = /\\d{1,2}/;\n function ordinal(number) {\n return this._ordinal.replace('%d', number);\n }\n var defaultRelativeTime = {\n future: 'in %s',\n past: '%s ago',\n s: 'a few seconds',\n ss: '%d seconds',\n m: 'a minute',\n mm: '%d minutes',\n h: 'an hour',\n hh: '%d hours',\n d: 'a day',\n dd: '%d days',\n M: 'a month',\n MM: '%d months',\n y: 'a year',\n yy: '%d years'\n };\n function relativeTime(number, withoutSuffix, string, isFuture) {\n var output = this._relativeTime[string];\n return isFunction(output) ? output(number, withoutSuffix, string, isFuture) : output.replace(/%d/i, number);\n }\n function pastFuture(diff, output) {\n var format = this._relativeTime[diff > 0 ? 'future' : 'past'];\n return isFunction(format) ? format(output) : format.replace(/%s/i, output);\n }\n var aliases = {};\n function addUnitAlias(unit, shorthand) {\n var lowerCase = unit.toLowerCase();\n aliases[lowerCase] = aliases[lowerCase + 's'] = aliases[shorthand] = unit;\n }\n function normalizeUnits(units) {\n return typeof units === 'string' ? aliases[units] || aliases[units.toLowerCase()] : undefined;\n }\n function normalizeObjectUnits(inputObject) {\n var normalizedInput = {},\n normalizedProp,\n prop;\n for (prop in inputObject) {\n if (hasOwnProp(inputObject, prop)) {\n normalizedProp = normalizeUnits(prop);\n if (normalizedProp) {\n normalizedInput[normalizedProp] = inputObject[prop];\n }\n }\n }\n return normalizedInput;\n }\n var priorities = {};\n function addUnitPriority(unit, priority) {\n priorities[unit] = priority;\n }\n function getPrioritizedUnits(unitsObj) {\n var units = [];\n for (var u in unitsObj) {\n units.push({\n unit: u,\n priority: priorities[u]\n });\n }\n units.sort(function (a, b) {\n return a.priority - b.priority;\n });\n return units;\n }\n function zeroFill(number, targetLength, forceSign) {\n var absNumber = '' + Math.abs(number),\n zerosToFill = targetLength - absNumber.length,\n sign = number >= 0;\n return (sign ? forceSign ? '+' : '' : '-') + Math.pow(10, Math.max(0, zerosToFill)).toString().substr(1) + absNumber;\n }\n var formattingTokens = /(\\[[^\\[]*\\])|(\\\\)?([Hh]mm(ss)?|Mo|MM?M?M?|Do|DDDo|DD?D?D?|ddd?d?|do?|w[o|w]?|W[o|W]?|Qo?|YYYYYY|YYYYY|YYYY|YY|gg(ggg?)?|GG(GGG?)?|e|E|a|A|hh?|HH?|kk?|mm?|ss?|S{1,9}|x|X|zz?|ZZ?|.)/g;\n var localFormattingTokens = /(\\[[^\\[]*\\])|(\\\\)?(LTS|LT|LL?L?L?|l{1,4})/g;\n var formatFunctions = {};\n var formatTokenFunctions = {};\n\n // token: 'M'\n // padded: ['MM', 2]\n // ordinal: 'Mo'\n // callback: function () { this.month() + 1 }\n function addFormatToken(token, padded, ordinal, callback) {\n var func = callback;\n if (typeof callback === 'string') {\n func = function () {\n return this[callback]();\n };\n }\n if (token) {\n formatTokenFunctions[token] = func;\n }\n if (padded) {\n formatTokenFunctions[padded[0]] = function () {\n return zeroFill(func.apply(this, arguments), padded[1], padded[2]);\n };\n }\n if (ordinal) {\n formatTokenFunctions[ordinal] = function () {\n return this.localeData().ordinal(func.apply(this, arguments), token);\n };\n }\n }\n function removeFormattingTokens(input) {\n if (input.match(/\\[[\\s\\S]/)) {\n return input.replace(/^\\[|\\]$/g, '');\n }\n return input.replace(/\\\\/g, '');\n }\n function makeFormatFunction(format) {\n var array = format.match(formattingTokens),\n i,\n length;\n for (i = 0, length = array.length; i < length; i++) {\n if (formatTokenFunctions[array[i]]) {\n array[i] = formatTokenFunctions[array[i]];\n } else {\n array[i] = removeFormattingTokens(array[i]);\n }\n }\n return function (mom) {\n var output = '',\n i;\n for (i = 0; i < length; i++) {\n output += isFunction(array[i]) ? array[i].call(mom, format) : array[i];\n }\n return output;\n };\n }\n\n // format date using native date object\n function formatMoment(m, format) {\n if (!m.isValid()) {\n return m.localeData().invalidDate();\n }\n format = expandFormat(format, m.localeData());\n formatFunctions[format] = formatFunctions[format] || makeFormatFunction(format);\n return formatFunctions[format](m);\n }\n function expandFormat(format, locale) {\n var i = 5;\n function replaceLongDateFormatTokens(input) {\n return locale.longDateFormat(input) || input;\n }\n localFormattingTokens.lastIndex = 0;\n while (i >= 0 && localFormattingTokens.test(format)) {\n format = format.replace(localFormattingTokens, replaceLongDateFormatTokens);\n localFormattingTokens.lastIndex = 0;\n i -= 1;\n }\n return format;\n }\n var match1 = /\\d/; // 0 - 9\n var match2 = /\\d\\d/; // 00 - 99\n var match3 = /\\d{3}/; // 000 - 999\n var match4 = /\\d{4}/; // 0000 - 9999\n var match6 = /[+-]?\\d{6}/; // -999999 - 999999\n var match1to2 = /\\d\\d?/; // 0 - 99\n var match3to4 = /\\d\\d\\d\\d?/; // 999 - 9999\n var match5to6 = /\\d\\d\\d\\d\\d\\d?/; // 99999 - 999999\n var match1to3 = /\\d{1,3}/; // 0 - 999\n var match1to4 = /\\d{1,4}/; // 0 - 9999\n var match1to6 = /[+-]?\\d{1,6}/; // -999999 - 999999\n\n var matchUnsigned = /\\d+/; // 0 - inf\n var matchSigned = /[+-]?\\d+/; // -inf - inf\n\n var matchOffset = /Z|[+-]\\d\\d:?\\d\\d/gi; // +00:00 -00:00 +0000 -0000 or Z\n var matchShortOffset = /Z|[+-]\\d\\d(?::?\\d\\d)?/gi; // +00 -00 +00:00 -00:00 +0000 -0000 or Z\n\n var matchTimestamp = /[+-]?\\d+(\\.\\d{1,3})?/; // 123456789 123456789.123\n\n // any word (or two) characters or numbers including two/three word month in arabic.\n // includes scottish gaelic two word and hyphenated months\n var matchWord = /[0-9]{0,256}['a-z\\u00A0-\\u05FF\\u0700-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFF07\\uFF10-\\uFFEF]{1,256}|[\\u0600-\\u06FF\\/]{1,256}(\\s*?[\\u0600-\\u06FF]{1,256}){1,2}/i;\n var regexes = {};\n function addRegexToken(token, regex, strictRegex) {\n regexes[token] = isFunction(regex) ? regex : function (isStrict, localeData) {\n return isStrict && strictRegex ? strictRegex : regex;\n };\n }\n function getParseRegexForToken(token, config) {\n if (!hasOwnProp(regexes, token)) {\n return new RegExp(unescapeFormat(token));\n }\n return regexes[token](config._strict, config._locale);\n }\n\n // Code from http://stackoverflow.com/questions/3561493/is-there-a-regexp-escape-function-in-javascript\n function unescapeFormat(s) {\n return regexEscape(s.replace('\\\\', '').replace(/\\\\(\\[)|\\\\(\\])|\\[([^\\]\\[]*)\\]|\\\\(.)/g, function (matched, p1, p2, p3, p4) {\n return p1 || p2 || p3 || p4;\n }));\n }\n function regexEscape(s) {\n return s.replace(/[-\\/\\\\^$*+?.()|[\\]{}]/g, '\\\\$&');\n }\n var tokens = {};\n function addParseToken(token, callback) {\n var i,\n func = callback;\n if (typeof token === 'string') {\n token = [token];\n }\n if (isNumber(callback)) {\n func = function (input, array) {\n array[callback] = toInt(input);\n };\n }\n for (i = 0; i < token.length; i++) {\n tokens[token[i]] = func;\n }\n }\n function addWeekParseToken(token, callback) {\n addParseToken(token, function (input, array, config, token) {\n config._w = config._w || {};\n callback(input, config._w, config, token);\n });\n }\n function addTimeToArrayFromToken(token, input, config) {\n if (input != null && hasOwnProp(tokens, token)) {\n tokens[token](input, config._a, config, token);\n }\n }\n var YEAR = 0;\n var MONTH = 1;\n var DATE = 2;\n var HOUR = 3;\n var MINUTE = 4;\n var SECOND = 5;\n var MILLISECOND = 6;\n var WEEK = 7;\n var WEEKDAY = 8;\n\n // FORMATTING\n\n addFormatToken('Y', 0, 0, function () {\n var y = this.year();\n return y <= 9999 ? '' + y : '+' + y;\n });\n addFormatToken(0, ['YY', 2], 0, function () {\n return this.year() % 100;\n });\n addFormatToken(0, ['YYYY', 4], 0, 'year');\n addFormatToken(0, ['YYYYY', 5], 0, 'year');\n addFormatToken(0, ['YYYYYY', 6, true], 0, 'year');\n\n // ALIASES\n\n addUnitAlias('year', 'y');\n\n // PRIORITIES\n\n addUnitPriority('year', 1);\n\n // PARSING\n\n addRegexToken('Y', matchSigned);\n addRegexToken('YY', match1to2, match2);\n addRegexToken('YYYY', match1to4, match4);\n addRegexToken('YYYYY', match1to6, match6);\n addRegexToken('YYYYYY', match1to6, match6);\n addParseToken(['YYYYY', 'YYYYYY'], YEAR);\n addParseToken('YYYY', function (input, array) {\n array[YEAR] = input.length === 2 ? hooks.parseTwoDigitYear(input) : toInt(input);\n });\n addParseToken('YY', function (input, array) {\n array[YEAR] = hooks.parseTwoDigitYear(input);\n });\n addParseToken('Y', function (input, array) {\n array[YEAR] = parseInt(input, 10);\n });\n\n // HELPERS\n\n function daysInYear(year) {\n return isLeapYear(year) ? 366 : 365;\n }\n function isLeapYear(year) {\n return year % 4 === 0 && year % 100 !== 0 || year % 400 === 0;\n }\n\n // HOOKS\n\n hooks.parseTwoDigitYear = function (input) {\n return toInt(input) + (toInt(input) > 68 ? 1900 : 2000);\n };\n\n // MOMENTS\n\n var getSetYear = makeGetSet('FullYear', true);\n function getIsLeapYear() {\n return isLeapYear(this.year());\n }\n function makeGetSet(unit, keepTime) {\n return function (value) {\n if (value != null) {\n set$1(this, unit, value);\n hooks.updateOffset(this, keepTime);\n return this;\n } else {\n return get(this, unit);\n }\n };\n }\n function get(mom, unit) {\n return mom.isValid() ? mom._d['get' + (mom._isUTC ? 'UTC' : '') + unit]() : NaN;\n }\n function set$1(mom, unit, value) {\n if (mom.isValid() && !isNaN(value)) {\n if (unit === 'FullYear' && isLeapYear(mom.year()) && mom.month() === 1 && mom.date() === 29) {\n mom._d['set' + (mom._isUTC ? 'UTC' : '') + unit](value, mom.month(), daysInMonth(value, mom.month()));\n } else {\n mom._d['set' + (mom._isUTC ? 'UTC' : '') + unit](value);\n }\n }\n }\n\n // MOMENTS\n\n function stringGet(units) {\n units = normalizeUnits(units);\n if (isFunction(this[units])) {\n return this[units]();\n }\n return this;\n }\n function stringSet(units, value) {\n if (typeof units === 'object') {\n units = normalizeObjectUnits(units);\n var prioritized = getPrioritizedUnits(units);\n for (var i = 0; i < prioritized.length; i++) {\n this[prioritized[i].unit](units[prioritized[i].unit]);\n }\n } else {\n units = normalizeUnits(units);\n if (isFunction(this[units])) {\n return this[units](value);\n }\n }\n return this;\n }\n function mod(n, x) {\n return (n % x + x) % x;\n }\n var indexOf;\n if (Array.prototype.indexOf) {\n indexOf = Array.prototype.indexOf;\n } else {\n indexOf = function (o) {\n // I know\n var i;\n for (i = 0; i < this.length; ++i) {\n if (this[i] === o) {\n return i;\n }\n }\n return -1;\n };\n }\n function daysInMonth(year, month) {\n if (isNaN(year) || isNaN(month)) {\n return NaN;\n }\n var modMonth = mod(month, 12);\n year += (month - modMonth) / 12;\n return modMonth === 1 ? isLeapYear(year) ? 29 : 28 : 31 - modMonth % 7 % 2;\n }\n\n // FORMATTING\n\n addFormatToken('M', ['MM', 2], 'Mo', function () {\n return this.month() + 1;\n });\n addFormatToken('MMM', 0, 0, function (format) {\n return this.localeData().monthsShort(this, format);\n });\n addFormatToken('MMMM', 0, 0, function (format) {\n return this.localeData().months(this, format);\n });\n\n // ALIASES\n\n addUnitAlias('month', 'M');\n\n // PRIORITY\n\n addUnitPriority('month', 8);\n\n // PARSING\n\n addRegexToken('M', match1to2);\n addRegexToken('MM', match1to2, match2);\n addRegexToken('MMM', function (isStrict, locale) {\n return locale.monthsShortRegex(isStrict);\n });\n addRegexToken('MMMM', function (isStrict, locale) {\n return locale.monthsRegex(isStrict);\n });\n addParseToken(['M', 'MM'], function (input, array) {\n array[MONTH] = toInt(input) - 1;\n });\n addParseToken(['MMM', 'MMMM'], function (input, array, config, token) {\n var month = config._locale.monthsParse(input, token, config._strict);\n // if we didn't find a month name, mark the date as invalid.\n if (month != null) {\n array[MONTH] = month;\n } else {\n getParsingFlags(config).invalidMonth = input;\n }\n });\n\n // LOCALES\n\n var MONTHS_IN_FORMAT = /D[oD]?(\\[[^\\[\\]]*\\]|\\s)+MMMM?/;\n var defaultLocaleMonths = 'January_February_March_April_May_June_July_August_September_October_November_December'.split('_');\n function localeMonths(m, format) {\n if (!m) {\n return isArray(this._months) ? this._months : this._months['standalone'];\n }\n return isArray(this._months) ? this._months[m.month()] : this._months[(this._months.isFormat || MONTHS_IN_FORMAT).test(format) ? 'format' : 'standalone'][m.month()];\n }\n var defaultLocaleMonthsShort = 'Jan_Feb_Mar_Apr_May_Jun_Jul_Aug_Sep_Oct_Nov_Dec'.split('_');\n function localeMonthsShort(m, format) {\n if (!m) {\n return isArray(this._monthsShort) ? this._monthsShort : this._monthsShort['standalone'];\n }\n return isArray(this._monthsShort) ? this._monthsShort[m.month()] : this._monthsShort[MONTHS_IN_FORMAT.test(format) ? 'format' : 'standalone'][m.month()];\n }\n function handleStrictParse(monthName, format, strict) {\n var i,\n ii,\n mom,\n llc = monthName.toLocaleLowerCase();\n if (!this._monthsParse) {\n // this is not used\n this._monthsParse = [];\n this._longMonthsParse = [];\n this._shortMonthsParse = [];\n for (i = 0; i < 12; ++i) {\n mom = createUTC([2000, i]);\n this._shortMonthsParse[i] = this.monthsShort(mom, '').toLocaleLowerCase();\n this._longMonthsParse[i] = this.months(mom, '').toLocaleLowerCase();\n }\n }\n if (strict) {\n if (format === 'MMM') {\n ii = indexOf.call(this._shortMonthsParse, llc);\n return ii !== -1 ? ii : null;\n } else {\n ii = indexOf.call(this._longMonthsParse, llc);\n return ii !== -1 ? ii : null;\n }\n } else {\n if (format === 'MMM') {\n ii = indexOf.call(this._shortMonthsParse, llc);\n if (ii !== -1) {\n return ii;\n }\n ii = indexOf.call(this._longMonthsParse, llc);\n return ii !== -1 ? ii : null;\n } else {\n ii = indexOf.call(this._longMonthsParse, llc);\n if (ii !== -1) {\n return ii;\n }\n ii = indexOf.call(this._shortMonthsParse, llc);\n return ii !== -1 ? ii : null;\n }\n }\n }\n function localeMonthsParse(monthName, format, strict) {\n var i, mom, regex;\n if (this._monthsParseExact) {\n return handleStrictParse.call(this, monthName, format, strict);\n }\n if (!this._monthsParse) {\n this._monthsParse = [];\n this._longMonthsParse = [];\n this._shortMonthsParse = [];\n }\n\n // TODO: add sorting\n // Sorting makes sure if one month (or abbr) is a prefix of another\n // see sorting in computeMonthsParse\n for (i = 0; i < 12; i++) {\n // make the regex if we don't have it already\n mom = createUTC([2000, i]);\n if (strict && !this._longMonthsParse[i]) {\n this._longMonthsParse[i] = new RegExp('^' + this.months(mom, '').replace('.', '') + '$', 'i');\n this._shortMonthsParse[i] = new RegExp('^' + this.monthsShort(mom, '').replace('.', '') + '$', 'i');\n }\n if (!strict && !this._monthsParse[i]) {\n regex = '^' + this.months(mom, '') + '|^' + this.monthsShort(mom, '');\n this._monthsParse[i] = new RegExp(regex.replace('.', ''), 'i');\n }\n // test the regex\n if (strict && format === 'MMMM' && this._longMonthsParse[i].test(monthName)) {\n return i;\n } else if (strict && format === 'MMM' && this._shortMonthsParse[i].test(monthName)) {\n return i;\n } else if (!strict && this._monthsParse[i].test(monthName)) {\n return i;\n }\n }\n }\n\n // MOMENTS\n\n function setMonth(mom, value) {\n var dayOfMonth;\n if (!mom.isValid()) {\n // No op\n return mom;\n }\n if (typeof value === 'string') {\n if (/^\\d+$/.test(value)) {\n value = toInt(value);\n } else {\n value = mom.localeData().monthsParse(value);\n // TODO: Another silent failure?\n if (!isNumber(value)) {\n return mom;\n }\n }\n }\n dayOfMonth = Math.min(mom.date(), daysInMonth(mom.year(), value));\n mom._d['set' + (mom._isUTC ? 'UTC' : '') + 'Month'](value, dayOfMonth);\n return mom;\n }\n function getSetMonth(value) {\n if (value != null) {\n setMonth(this, value);\n hooks.updateOffset(this, true);\n return this;\n } else {\n return get(this, 'Month');\n }\n }\n function getDaysInMonth() {\n return daysInMonth(this.year(), this.month());\n }\n var defaultMonthsShortRegex = matchWord;\n function monthsShortRegex(isStrict) {\n if (this._monthsParseExact) {\n if (!hasOwnProp(this, '_monthsRegex')) {\n computeMonthsParse.call(this);\n }\n if (isStrict) {\n return this._monthsShortStrictRegex;\n } else {\n return this._monthsShortRegex;\n }\n } else {\n if (!hasOwnProp(this, '_monthsShortRegex')) {\n this._monthsShortRegex = defaultMonthsShortRegex;\n }\n return this._monthsShortStrictRegex && isStrict ? this._monthsShortStrictRegex : this._monthsShortRegex;\n }\n }\n var defaultMonthsRegex = matchWord;\n function monthsRegex(isStrict) {\n if (this._monthsParseExact) {\n if (!hasOwnProp(this, '_monthsRegex')) {\n computeMonthsParse.call(this);\n }\n if (isStrict) {\n return this._monthsStrictRegex;\n } else {\n return this._monthsRegex;\n }\n } else {\n if (!hasOwnProp(this, '_monthsRegex')) {\n this._monthsRegex = defaultMonthsRegex;\n }\n return this._monthsStrictRegex && isStrict ? this._monthsStrictRegex : this._monthsRegex;\n }\n }\n function computeMonthsParse() {\n function cmpLenRev(a, b) {\n return b.length - a.length;\n }\n var shortPieces = [],\n longPieces = [],\n mixedPieces = [],\n i,\n mom;\n for (i = 0; i < 12; i++) {\n // make the regex if we don't have it already\n mom = createUTC([2000, i]);\n shortPieces.push(this.monthsShort(mom, ''));\n longPieces.push(this.months(mom, ''));\n mixedPieces.push(this.months(mom, ''));\n mixedPieces.push(this.monthsShort(mom, ''));\n }\n // Sorting makes sure if one month (or abbr) is a prefix of another it\n // will match the longer piece.\n shortPieces.sort(cmpLenRev);\n longPieces.sort(cmpLenRev);\n mixedPieces.sort(cmpLenRev);\n for (i = 0; i < 12; i++) {\n shortPieces[i] = regexEscape(shortPieces[i]);\n longPieces[i] = regexEscape(longPieces[i]);\n }\n for (i = 0; i < 24; i++) {\n mixedPieces[i] = regexEscape(mixedPieces[i]);\n }\n this._monthsRegex = new RegExp('^(' + mixedPieces.join('|') + ')', 'i');\n this._monthsShortRegex = this._monthsRegex;\n this._monthsStrictRegex = new RegExp('^(' + longPieces.join('|') + ')', 'i');\n this._monthsShortStrictRegex = new RegExp('^(' + shortPieces.join('|') + ')', 'i');\n }\n function createDate(y, m, d, h, M, s, ms) {\n // can't just apply() to create a date:\n // https://stackoverflow.com/q/181348\n var date;\n // the date constructor remaps years 0-99 to 1900-1999\n if (y < 100 && y >= 0) {\n // preserve leap years using a full 400 year cycle, then reset\n date = new Date(y + 400, m, d, h, M, s, ms);\n if (isFinite(date.getFullYear())) {\n date.setFullYear(y);\n }\n } else {\n date = new Date(y, m, d, h, M, s, ms);\n }\n return date;\n }\n function createUTCDate(y) {\n var date;\n // the Date.UTC function remaps years 0-99 to 1900-1999\n if (y < 100 && y >= 0) {\n var args = Array.prototype.slice.call(arguments);\n // preserve leap years using a full 400 year cycle, then reset\n args[0] = y + 400;\n date = new Date(Date.UTC.apply(null, args));\n if (isFinite(date.getUTCFullYear())) {\n date.setUTCFullYear(y);\n }\n } else {\n date = new Date(Date.UTC.apply(null, arguments));\n }\n return date;\n }\n\n // start-of-first-week - start-of-year\n function firstWeekOffset(year, dow, doy) {\n var\n // first-week day -- which january is always in the first week (4 for iso, 1 for other)\n fwd = 7 + dow - doy,\n // first-week day local weekday -- which local weekday is fwd\n fwdlw = (7 + createUTCDate(year, 0, fwd).getUTCDay() - dow) % 7;\n return -fwdlw + fwd - 1;\n }\n\n // https://en.wikipedia.org/wiki/ISO_week_date#Calculating_a_date_given_the_year.2C_week_number_and_weekday\n function dayOfYearFromWeeks(year, week, weekday, dow, doy) {\n var localWeekday = (7 + weekday - dow) % 7,\n weekOffset = firstWeekOffset(year, dow, doy),\n dayOfYear = 1 + 7 * (week - 1) + localWeekday + weekOffset,\n resYear,\n resDayOfYear;\n if (dayOfYear <= 0) {\n resYear = year - 1;\n resDayOfYear = daysInYear(resYear) + dayOfYear;\n } else if (dayOfYear > daysInYear(year)) {\n resYear = year + 1;\n resDayOfYear = dayOfYear - daysInYear(year);\n } else {\n resYear = year;\n resDayOfYear = dayOfYear;\n }\n return {\n year: resYear,\n dayOfYear: resDayOfYear\n };\n }\n function weekOfYear(mom, dow, doy) {\n var weekOffset = firstWeekOffset(mom.year(), dow, doy),\n week = Math.floor((mom.dayOfYear() - weekOffset - 1) / 7) + 1,\n resWeek,\n resYear;\n if (week < 1) {\n resYear = mom.year() - 1;\n resWeek = week + weeksInYear(resYear, dow, doy);\n } else if (week > weeksInYear(mom.year(), dow, doy)) {\n resWeek = week - weeksInYear(mom.year(), dow, doy);\n resYear = mom.year() + 1;\n } else {\n resYear = mom.year();\n resWeek = week;\n }\n return {\n week: resWeek,\n year: resYear\n };\n }\n function weeksInYear(year, dow, doy) {\n var weekOffset = firstWeekOffset(year, dow, doy),\n weekOffsetNext = firstWeekOffset(year + 1, dow, doy);\n return (daysInYear(year) - weekOffset + weekOffsetNext) / 7;\n }\n\n // FORMATTING\n\n addFormatToken('w', ['ww', 2], 'wo', 'week');\n addFormatToken('W', ['WW', 2], 'Wo', 'isoWeek');\n\n // ALIASES\n\n addUnitAlias('week', 'w');\n addUnitAlias('isoWeek', 'W');\n\n // PRIORITIES\n\n addUnitPriority('week', 5);\n addUnitPriority('isoWeek', 5);\n\n // PARSING\n\n addRegexToken('w', match1to2);\n addRegexToken('ww', match1to2, match2);\n addRegexToken('W', match1to2);\n addRegexToken('WW', match1to2, match2);\n addWeekParseToken(['w', 'ww', 'W', 'WW'], function (input, week, config, token) {\n week[token.substr(0, 1)] = toInt(input);\n });\n\n // HELPERS\n\n // LOCALES\n\n function localeWeek(mom) {\n return weekOfYear(mom, this._week.dow, this._week.doy).week;\n }\n var defaultLocaleWeek = {\n dow: 0,\n // Sunday is the first day of the week.\n doy: 6 // The week that contains Jan 6th is the first week of the year.\n };\n\n function localeFirstDayOfWeek() {\n return this._week.dow;\n }\n function localeFirstDayOfYear() {\n return this._week.doy;\n }\n\n // MOMENTS\n\n function getSetWeek(input) {\n var week = this.localeData().week(this);\n return input == null ? week : this.add((input - week) * 7, 'd');\n }\n function getSetISOWeek(input) {\n var week = weekOfYear(this, 1, 4).week;\n return input == null ? week : this.add((input - week) * 7, 'd');\n }\n\n // FORMATTING\n\n addFormatToken('d', 0, 'do', 'day');\n addFormatToken('dd', 0, 0, function (format) {\n return this.localeData().weekdaysMin(this, format);\n });\n addFormatToken('ddd', 0, 0, function (format) {\n return this.localeData().weekdaysShort(this, format);\n });\n addFormatToken('dddd', 0, 0, function (format) {\n return this.localeData().weekdays(this, format);\n });\n addFormatToken('e', 0, 0, 'weekday');\n addFormatToken('E', 0, 0, 'isoWeekday');\n\n // ALIASES\n\n addUnitAlias('day', 'd');\n addUnitAlias('weekday', 'e');\n addUnitAlias('isoWeekday', 'E');\n\n // PRIORITY\n addUnitPriority('day', 11);\n addUnitPriority('weekday', 11);\n addUnitPriority('isoWeekday', 11);\n\n // PARSING\n\n addRegexToken('d', match1to2);\n addRegexToken('e', match1to2);\n addRegexToken('E', match1to2);\n addRegexToken('dd', function (isStrict, locale) {\n return locale.weekdaysMinRegex(isStrict);\n });\n addRegexToken('ddd', function (isStrict, locale) {\n return locale.weekdaysShortRegex(isStrict);\n });\n addRegexToken('dddd', function (isStrict, locale) {\n return locale.weekdaysRegex(isStrict);\n });\n addWeekParseToken(['dd', 'ddd', 'dddd'], function (input, week, config, token) {\n var weekday = config._locale.weekdaysParse(input, token, config._strict);\n // if we didn't get a weekday name, mark the date as invalid\n if (weekday != null) {\n week.d = weekday;\n } else {\n getParsingFlags(config).invalidWeekday = input;\n }\n });\n addWeekParseToken(['d', 'e', 'E'], function (input, week, config, token) {\n week[token] = toInt(input);\n });\n\n // HELPERS\n\n function parseWeekday(input, locale) {\n if (typeof input !== 'string') {\n return input;\n }\n if (!isNaN(input)) {\n return parseInt(input, 10);\n }\n input = locale.weekdaysParse(input);\n if (typeof input === 'number') {\n return input;\n }\n return null;\n }\n function parseIsoWeekday(input, locale) {\n if (typeof input === 'string') {\n return locale.weekdaysParse(input) % 7 || 7;\n }\n return isNaN(input) ? null : input;\n }\n\n // LOCALES\n function shiftWeekdays(ws, n) {\n return ws.slice(n, 7).concat(ws.slice(0, n));\n }\n var defaultLocaleWeekdays = 'Sunday_Monday_Tuesday_Wednesday_Thursday_Friday_Saturday'.split('_');\n function localeWeekdays(m, format) {\n var weekdays = isArray(this._weekdays) ? this._weekdays : this._weekdays[m && m !== true && this._weekdays.isFormat.test(format) ? 'format' : 'standalone'];\n return m === true ? shiftWeekdays(weekdays, this._week.dow) : m ? weekdays[m.day()] : weekdays;\n }\n var defaultLocaleWeekdaysShort = 'Sun_Mon_Tue_Wed_Thu_Fri_Sat'.split('_');\n function localeWeekdaysShort(m) {\n return m === true ? shiftWeekdays(this._weekdaysShort, this._week.dow) : m ? this._weekdaysShort[m.day()] : this._weekdaysShort;\n }\n var defaultLocaleWeekdaysMin = 'Su_Mo_Tu_We_Th_Fr_Sa'.split('_');\n function localeWeekdaysMin(m) {\n return m === true ? shiftWeekdays(this._weekdaysMin, this._week.dow) : m ? this._weekdaysMin[m.day()] : this._weekdaysMin;\n }\n function handleStrictParse$1(weekdayName, format, strict) {\n var i,\n ii,\n mom,\n llc = weekdayName.toLocaleLowerCase();\n if (!this._weekdaysParse) {\n this._weekdaysParse = [];\n this._shortWeekdaysParse = [];\n this._minWeekdaysParse = [];\n for (i = 0; i < 7; ++i) {\n mom = createUTC([2000, 1]).day(i);\n this._minWeekdaysParse[i] = this.weekdaysMin(mom, '').toLocaleLowerCase();\n this._shortWeekdaysParse[i] = this.weekdaysShort(mom, '').toLocaleLowerCase();\n this._weekdaysParse[i] = this.weekdays(mom, '').toLocaleLowerCase();\n }\n }\n if (strict) {\n if (format === 'dddd') {\n ii = indexOf.call(this._weekdaysParse, llc);\n return ii !== -1 ? ii : null;\n } else if (format === 'ddd') {\n ii = indexOf.call(this._shortWeekdaysParse, llc);\n return ii !== -1 ? ii : null;\n } else {\n ii = indexOf.call(this._minWeekdaysParse, llc);\n return ii !== -1 ? ii : null;\n }\n } else {\n if (format === 'dddd') {\n ii = indexOf.call(this._weekdaysParse, llc);\n if (ii !== -1) {\n return ii;\n }\n ii = indexOf.call(this._shortWeekdaysParse, llc);\n if (ii !== -1) {\n return ii;\n }\n ii = indexOf.call(this._minWeekdaysParse, llc);\n return ii !== -1 ? ii : null;\n } else if (format === 'ddd') {\n ii = indexOf.call(this._shortWeekdaysParse, llc);\n if (ii !== -1) {\n return ii;\n }\n ii = indexOf.call(this._weekdaysParse, llc);\n if (ii !== -1) {\n return ii;\n }\n ii = indexOf.call(this._minWeekdaysParse, llc);\n return ii !== -1 ? ii : null;\n } else {\n ii = indexOf.call(this._minWeekdaysParse, llc);\n if (ii !== -1) {\n return ii;\n }\n ii = indexOf.call(this._weekdaysParse, llc);\n if (ii !== -1) {\n return ii;\n }\n ii = indexOf.call(this._shortWeekdaysParse, llc);\n return ii !== -1 ? ii : null;\n }\n }\n }\n function localeWeekdaysParse(weekdayName, format, strict) {\n var i, mom, regex;\n if (this._weekdaysParseExact) {\n return handleStrictParse$1.call(this, weekdayName, format, strict);\n }\n if (!this._weekdaysParse) {\n this._weekdaysParse = [];\n this._minWeekdaysParse = [];\n this._shortWeekdaysParse = [];\n this._fullWeekdaysParse = [];\n }\n for (i = 0; i < 7; i++) {\n // make the regex if we don't have it already\n\n mom = createUTC([2000, 1]).day(i);\n if (strict && !this._fullWeekdaysParse[i]) {\n this._fullWeekdaysParse[i] = new RegExp('^' + this.weekdays(mom, '').replace('.', '\\\\.?') + '$', 'i');\n this._shortWeekdaysParse[i] = new RegExp('^' + this.weekdaysShort(mom, '').replace('.', '\\\\.?') + '$', 'i');\n this._minWeekdaysParse[i] = new RegExp('^' + this.weekdaysMin(mom, '').replace('.', '\\\\.?') + '$', 'i');\n }\n if (!this._weekdaysParse[i]) {\n regex = '^' + this.weekdays(mom, '') + '|^' + this.weekdaysShort(mom, '') + '|^' + this.weekdaysMin(mom, '');\n this._weekdaysParse[i] = new RegExp(regex.replace('.', ''), 'i');\n }\n // test the regex\n if (strict && format === 'dddd' && this._fullWeekdaysParse[i].test(weekdayName)) {\n return i;\n } else if (strict && format === 'ddd' && this._shortWeekdaysParse[i].test(weekdayName)) {\n return i;\n } else if (strict && format === 'dd' && this._minWeekdaysParse[i].test(weekdayName)) {\n return i;\n } else if (!strict && this._weekdaysParse[i].test(weekdayName)) {\n return i;\n }\n }\n }\n\n // MOMENTS\n\n function getSetDayOfWeek(input) {\n if (!this.isValid()) {\n return input != null ? this : NaN;\n }\n var day = this._isUTC ? this._d.getUTCDay() : this._d.getDay();\n if (input != null) {\n input = parseWeekday(input, this.localeData());\n return this.add(input - day, 'd');\n } else {\n return day;\n }\n }\n function getSetLocaleDayOfWeek(input) {\n if (!this.isValid()) {\n return input != null ? this : NaN;\n }\n var weekday = (this.day() + 7 - this.localeData()._week.dow) % 7;\n return input == null ? weekday : this.add(input - weekday, 'd');\n }\n function getSetISODayOfWeek(input) {\n if (!this.isValid()) {\n return input != null ? this : NaN;\n }\n\n // behaves the same as moment#day except\n // as a getter, returns 7 instead of 0 (1-7 range instead of 0-6)\n // as a setter, sunday should belong to the previous week.\n\n if (input != null) {\n var weekday = parseIsoWeekday(input, this.localeData());\n return this.day(this.day() % 7 ? weekday : weekday - 7);\n } else {\n return this.day() || 7;\n }\n }\n var defaultWeekdaysRegex = matchWord;\n function weekdaysRegex(isStrict) {\n if (this._weekdaysParseExact) {\n if (!hasOwnProp(this, '_weekdaysRegex')) {\n computeWeekdaysParse.call(this);\n }\n if (isStrict) {\n return this._weekdaysStrictRegex;\n } else {\n return this._weekdaysRegex;\n }\n } else {\n if (!hasOwnProp(this, '_weekdaysRegex')) {\n this._weekdaysRegex = defaultWeekdaysRegex;\n }\n return this._weekdaysStrictRegex && isStrict ? this._weekdaysStrictRegex : this._weekdaysRegex;\n }\n }\n var defaultWeekdaysShortRegex = matchWord;\n function weekdaysShortRegex(isStrict) {\n if (this._weekdaysParseExact) {\n if (!hasOwnProp(this, '_weekdaysRegex')) {\n computeWeekdaysParse.call(this);\n }\n if (isStrict) {\n return this._weekdaysShortStrictRegex;\n } else {\n return this._weekdaysShortRegex;\n }\n } else {\n if (!hasOwnProp(this, '_weekdaysShortRegex')) {\n this._weekdaysShortRegex = defaultWeekdaysShortRegex;\n }\n return this._weekdaysShortStrictRegex && isStrict ? this._weekdaysShortStrictRegex : this._weekdaysShortRegex;\n }\n }\n var defaultWeekdaysMinRegex = matchWord;\n function weekdaysMinRegex(isStrict) {\n if (this._weekdaysParseExact) {\n if (!hasOwnProp(this, '_weekdaysRegex')) {\n computeWeekdaysParse.call(this);\n }\n if (isStrict) {\n return this._weekdaysMinStrictRegex;\n } else {\n return this._weekdaysMinRegex;\n }\n } else {\n if (!hasOwnProp(this, '_weekdaysMinRegex')) {\n this._weekdaysMinRegex = defaultWeekdaysMinRegex;\n }\n return this._weekdaysMinStrictRegex && isStrict ? this._weekdaysMinStrictRegex : this._weekdaysMinRegex;\n }\n }\n function computeWeekdaysParse() {\n function cmpLenRev(a, b) {\n return b.length - a.length;\n }\n var minPieces = [],\n shortPieces = [],\n longPieces = [],\n mixedPieces = [],\n i,\n mom,\n minp,\n shortp,\n longp;\n for (i = 0; i < 7; i++) {\n // make the regex if we don't have it already\n mom = createUTC([2000, 1]).day(i);\n minp = this.weekdaysMin(mom, '');\n shortp = this.weekdaysShort(mom, '');\n longp = this.weekdays(mom, '');\n minPieces.push(minp);\n shortPieces.push(shortp);\n longPieces.push(longp);\n mixedPieces.push(minp);\n mixedPieces.push(shortp);\n mixedPieces.push(longp);\n }\n // Sorting makes sure if one weekday (or abbr) is a prefix of another it\n // will match the longer piece.\n minPieces.sort(cmpLenRev);\n shortPieces.sort(cmpLenRev);\n longPieces.sort(cmpLenRev);\n mixedPieces.sort(cmpLenRev);\n for (i = 0; i < 7; i++) {\n shortPieces[i] = regexEscape(shortPieces[i]);\n longPieces[i] = regexEscape(longPieces[i]);\n mixedPieces[i] = regexEscape(mixedPieces[i]);\n }\n this._weekdaysRegex = new RegExp('^(' + mixedPieces.join('|') + ')', 'i');\n this._weekdaysShortRegex = this._weekdaysRegex;\n this._weekdaysMinRegex = this._weekdaysRegex;\n this._weekdaysStrictRegex = new RegExp('^(' + longPieces.join('|') + ')', 'i');\n this._weekdaysShortStrictRegex = new RegExp('^(' + shortPieces.join('|') + ')', 'i');\n this._weekdaysMinStrictRegex = new RegExp('^(' + minPieces.join('|') + ')', 'i');\n }\n\n // FORMATTING\n\n function hFormat() {\n return this.hours() % 12 || 12;\n }\n function kFormat() {\n return this.hours() || 24;\n }\n addFormatToken('H', ['HH', 2], 0, 'hour');\n addFormatToken('h', ['hh', 2], 0, hFormat);\n addFormatToken('k', ['kk', 2], 0, kFormat);\n addFormatToken('hmm', 0, 0, function () {\n return '' + hFormat.apply(this) + zeroFill(this.minutes(), 2);\n });\n addFormatToken('hmmss', 0, 0, function () {\n return '' + hFormat.apply(this) + zeroFill(this.minutes(), 2) + zeroFill(this.seconds(), 2);\n });\n addFormatToken('Hmm', 0, 0, function () {\n return '' + this.hours() + zeroFill(this.minutes(), 2);\n });\n addFormatToken('Hmmss', 0, 0, function () {\n return '' + this.hours() + zeroFill(this.minutes(), 2) + zeroFill(this.seconds(), 2);\n });\n function meridiem(token, lowercase) {\n addFormatToken(token, 0, 0, function () {\n return this.localeData().meridiem(this.hours(), this.minutes(), lowercase);\n });\n }\n meridiem('a', true);\n meridiem('A', false);\n\n // ALIASES\n\n addUnitAlias('hour', 'h');\n\n // PRIORITY\n addUnitPriority('hour', 13);\n\n // PARSING\n\n function matchMeridiem(isStrict, locale) {\n return locale._meridiemParse;\n }\n addRegexToken('a', matchMeridiem);\n addRegexToken('A', matchMeridiem);\n addRegexToken('H', match1to2);\n addRegexToken('h', match1to2);\n addRegexToken('k', match1to2);\n addRegexToken('HH', match1to2, match2);\n addRegexToken('hh', match1to2, match2);\n addRegexToken('kk', match1to2, match2);\n addRegexToken('hmm', match3to4);\n addRegexToken('hmmss', match5to6);\n addRegexToken('Hmm', match3to4);\n addRegexToken('Hmmss', match5to6);\n addParseToken(['H', 'HH'], HOUR);\n addParseToken(['k', 'kk'], function (input, array, config) {\n var kInput = toInt(input);\n array[HOUR] = kInput === 24 ? 0 : kInput;\n });\n addParseToken(['a', 'A'], function (input, array, config) {\n config._isPm = config._locale.isPM(input);\n config._meridiem = input;\n });\n addParseToken(['h', 'hh'], function (input, array, config) {\n array[HOUR] = toInt(input);\n getParsingFlags(config).bigHour = true;\n });\n addParseToken('hmm', function (input, array, config) {\n var pos = input.length - 2;\n array[HOUR] = toInt(input.substr(0, pos));\n array[MINUTE] = toInt(input.substr(pos));\n getParsingFlags(config).bigHour = true;\n });\n addParseToken('hmmss', function (input, array, config) {\n var pos1 = input.length - 4;\n var pos2 = input.length - 2;\n array[HOUR] = toInt(input.substr(0, pos1));\n array[MINUTE] = toInt(input.substr(pos1, 2));\n array[SECOND] = toInt(input.substr(pos2));\n getParsingFlags(config).bigHour = true;\n });\n addParseToken('Hmm', function (input, array, config) {\n var pos = input.length - 2;\n array[HOUR] = toInt(input.substr(0, pos));\n array[MINUTE] = toInt(input.substr(pos));\n });\n addParseToken('Hmmss', function (input, array, config) {\n var pos1 = input.length - 4;\n var pos2 = input.length - 2;\n array[HOUR] = toInt(input.substr(0, pos1));\n array[MINUTE] = toInt(input.substr(pos1, 2));\n array[SECOND] = toInt(input.substr(pos2));\n });\n\n // LOCALES\n\n function localeIsPM(input) {\n // IE8 Quirks Mode & IE7 Standards Mode do not allow accessing strings like arrays\n // Using charAt should be more compatible.\n return (input + '').toLowerCase().charAt(0) === 'p';\n }\n var defaultLocaleMeridiemParse = /[ap]\\.?m?\\.?/i;\n function localeMeridiem(hours, minutes, isLower) {\n if (hours > 11) {\n return isLower ? 'pm' : 'PM';\n } else {\n return isLower ? 'am' : 'AM';\n }\n }\n\n // MOMENTS\n\n // Setting the hour should keep the time, because the user explicitly\n // specified which hour they want. So trying to maintain the same hour (in\n // a new timezone) makes sense. Adding/subtracting hours does not follow\n // this rule.\n var getSetHour = makeGetSet('Hours', true);\n var baseConfig = {\n calendar: defaultCalendar,\n longDateFormat: defaultLongDateFormat,\n invalidDate: defaultInvalidDate,\n ordinal: defaultOrdinal,\n dayOfMonthOrdinalParse: defaultDayOfMonthOrdinalParse,\n relativeTime: defaultRelativeTime,\n months: defaultLocaleMonths,\n monthsShort: defaultLocaleMonthsShort,\n week: defaultLocaleWeek,\n weekdays: defaultLocaleWeekdays,\n weekdaysMin: defaultLocaleWeekdaysMin,\n weekdaysShort: defaultLocaleWeekdaysShort,\n meridiemParse: defaultLocaleMeridiemParse\n };\n\n // internal storage for locale config files\n var locales = {};\n var localeFamilies = {};\n var globalLocale;\n function normalizeLocale(key) {\n return key ? key.toLowerCase().replace('_', '-') : key;\n }\n\n // pick the locale from the array\n // try ['en-au', 'en-gb'] as 'en-au', 'en-gb', 'en', as in move through the list trying each\n // substring from most specific to least, but move to the next array item if it's a more specific variant than the current root\n function chooseLocale(names) {\n var i = 0,\n j,\n next,\n locale,\n split;\n while (i < names.length) {\n split = normalizeLocale(names[i]).split('-');\n j = split.length;\n next = normalizeLocale(names[i + 1]);\n next = next ? next.split('-') : null;\n while (j > 0) {\n locale = loadLocale(split.slice(0, j).join('-'));\n if (locale) {\n return locale;\n }\n if (next && next.length >= j && compareArrays(split, next, true) >= j - 1) {\n //the next array item is better than a shallower substring of this one\n break;\n }\n j--;\n }\n i++;\n }\n return globalLocale;\n }\n function loadLocale(name) {\n var oldLocale = null;\n // TODO: Find a better way to register and load all the locales in Node\n if (!locales[name] && typeof module !== 'undefined' && module && module.exports) {\n try {\n oldLocale = globalLocale._abbr;\n var aliasedRequire = require;\n aliasedRequire('./locale/' + name);\n getSetGlobalLocale(oldLocale);\n } catch (e) {}\n }\n return locales[name];\n }\n\n // This function will load locale and then set the global locale. If\n // no arguments are passed in, it will simply return the current global\n // locale key.\n function getSetGlobalLocale(key, values) {\n var data;\n if (key) {\n if (isUndefined(values)) {\n data = getLocale(key);\n } else {\n data = defineLocale(key, values);\n }\n if (data) {\n // moment.duration._locale = moment._locale = data;\n globalLocale = data;\n } else {\n if (typeof console !== 'undefined' && console.warn) {\n //warn user if arguments are passed but the locale could not be set\n console.warn('Locale ' + key + ' not found. Did you forget to load it?');\n }\n }\n }\n return globalLocale._abbr;\n }\n function defineLocale(name, config) {\n if (config !== null) {\n var locale,\n parentConfig = baseConfig;\n config.abbr = name;\n if (locales[name] != null) {\n deprecateSimple('defineLocaleOverride', 'use moment.updateLocale(localeName, config) to change ' + 'an existing locale. moment.defineLocale(localeName, ' + 'config) should only be used for creating a new locale ' + 'See http://momentjs.com/guides/#/warnings/define-locale/ for more info.');\n parentConfig = locales[name]._config;\n } else if (config.parentLocale != null) {\n if (locales[config.parentLocale] != null) {\n parentConfig = locales[config.parentLocale]._config;\n } else {\n locale = loadLocale(config.parentLocale);\n if (locale != null) {\n parentConfig = locale._config;\n } else {\n if (!localeFamilies[config.parentLocale]) {\n localeFamilies[config.parentLocale] = [];\n }\n localeFamilies[config.parentLocale].push({\n name: name,\n config: config\n });\n return null;\n }\n }\n }\n locales[name] = new Locale(mergeConfigs(parentConfig, config));\n if (localeFamilies[name]) {\n localeFamilies[name].forEach(function (x) {\n defineLocale(x.name, x.config);\n });\n }\n\n // backwards compat for now: also set the locale\n // make sure we set the locale AFTER all child locales have been\n // created, so we won't end up with the child locale set.\n getSetGlobalLocale(name);\n return locales[name];\n } else {\n // useful for testing\n delete locales[name];\n return null;\n }\n }\n function updateLocale(name, config) {\n if (config != null) {\n var locale,\n tmpLocale,\n parentConfig = baseConfig;\n // MERGE\n tmpLocale = loadLocale(name);\n if (tmpLocale != null) {\n parentConfig = tmpLocale._config;\n }\n config = mergeConfigs(parentConfig, config);\n locale = new Locale(config);\n locale.parentLocale = locales[name];\n locales[name] = locale;\n\n // backwards compat for now: also set the locale\n getSetGlobalLocale(name);\n } else {\n // pass null for config to unupdate, useful for tests\n if (locales[name] != null) {\n if (locales[name].parentLocale != null) {\n locales[name] = locales[name].parentLocale;\n } else if (locales[name] != null) {\n delete locales[name];\n }\n }\n }\n return locales[name];\n }\n\n // returns locale data\n function getLocale(key) {\n var locale;\n if (key && key._locale && key._locale._abbr) {\n key = key._locale._abbr;\n }\n if (!key) {\n return globalLocale;\n }\n if (!isArray(key)) {\n //short-circuit everything else\n locale = loadLocale(key);\n if (locale) {\n return locale;\n }\n key = [key];\n }\n return chooseLocale(key);\n }\n function listLocales() {\n return keys(locales);\n }\n function checkOverflow(m) {\n var overflow;\n var a = m._a;\n if (a && getParsingFlags(m).overflow === -2) {\n overflow = a[MONTH] < 0 || a[MONTH] > 11 ? MONTH : a[DATE] < 1 || a[DATE] > daysInMonth(a[YEAR], a[MONTH]) ? DATE : a[HOUR] < 0 || a[HOUR] > 24 || a[HOUR] === 24 && (a[MINUTE] !== 0 || a[SECOND] !== 0 || a[MILLISECOND] !== 0) ? HOUR : a[MINUTE] < 0 || a[MINUTE] > 59 ? MINUTE : a[SECOND] < 0 || a[SECOND] > 59 ? SECOND : a[MILLISECOND] < 0 || a[MILLISECOND] > 999 ? MILLISECOND : -1;\n if (getParsingFlags(m)._overflowDayOfYear && (overflow < YEAR || overflow > DATE)) {\n overflow = DATE;\n }\n if (getParsingFlags(m)._overflowWeeks && overflow === -1) {\n overflow = WEEK;\n }\n if (getParsingFlags(m)._overflowWeekday && overflow === -1) {\n overflow = WEEKDAY;\n }\n getParsingFlags(m).overflow = overflow;\n }\n return m;\n }\n\n // Pick the first defined of two or three arguments.\n function defaults(a, b, c) {\n if (a != null) {\n return a;\n }\n if (b != null) {\n return b;\n }\n return c;\n }\n function currentDateArray(config) {\n // hooks is actually the exported moment object\n var nowValue = new Date(hooks.now());\n if (config._useUTC) {\n return [nowValue.getUTCFullYear(), nowValue.getUTCMonth(), nowValue.getUTCDate()];\n }\n return [nowValue.getFullYear(), nowValue.getMonth(), nowValue.getDate()];\n }\n\n // convert an array to a date.\n // the array should mirror the parameters below\n // note: all values past the year are optional and will default to the lowest possible value.\n // [year, month, day , hour, minute, second, millisecond]\n function configFromArray(config) {\n var i,\n date,\n input = [],\n currentDate,\n expectedWeekday,\n yearToUse;\n if (config._d) {\n return;\n }\n currentDate = currentDateArray(config);\n\n //compute day of the year from weeks and weekdays\n if (config._w && config._a[DATE] == null && config._a[MONTH] == null) {\n dayOfYearFromWeekInfo(config);\n }\n\n //if the day of the year is set, figure out what it is\n if (config._dayOfYear != null) {\n yearToUse = defaults(config._a[YEAR], currentDate[YEAR]);\n if (config._dayOfYear > daysInYear(yearToUse) || config._dayOfYear === 0) {\n getParsingFlags(config)._overflowDayOfYear = true;\n }\n date = createUTCDate(yearToUse, 0, config._dayOfYear);\n config._a[MONTH] = date.getUTCMonth();\n config._a[DATE] = date.getUTCDate();\n }\n\n // Default to current date.\n // * if no year, month, day of month are given, default to today\n // * if day of month is given, default month and year\n // * if month is given, default only year\n // * if year is given, don't default anything\n for (i = 0; i < 3 && config._a[i] == null; ++i) {\n config._a[i] = input[i] = currentDate[i];\n }\n\n // Zero out whatever was not defaulted, including time\n for (; i < 7; i++) {\n config._a[i] = input[i] = config._a[i] == null ? i === 2 ? 1 : 0 : config._a[i];\n }\n\n // Check for 24:00:00.000\n if (config._a[HOUR] === 24 && config._a[MINUTE] === 0 && config._a[SECOND] === 0 && config._a[MILLISECOND] === 0) {\n config._nextDay = true;\n config._a[HOUR] = 0;\n }\n config._d = (config._useUTC ? createUTCDate : createDate).apply(null, input);\n expectedWeekday = config._useUTC ? config._d.getUTCDay() : config._d.getDay();\n\n // Apply timezone offset from input. The actual utcOffset can be changed\n // with parseZone.\n if (config._tzm != null) {\n config._d.setUTCMinutes(config._d.getUTCMinutes() - config._tzm);\n }\n if (config._nextDay) {\n config._a[HOUR] = 24;\n }\n\n // check for mismatching day of week\n if (config._w && typeof config._w.d !== 'undefined' && config._w.d !== expectedWeekday) {\n getParsingFlags(config).weekdayMismatch = true;\n }\n }\n function dayOfYearFromWeekInfo(config) {\n var w, weekYear, week, weekday, dow, doy, temp, weekdayOverflow;\n w = config._w;\n if (w.GG != null || w.W != null || w.E != null) {\n dow = 1;\n doy = 4;\n\n // TODO: We need to take the current isoWeekYear, but that depends on\n // how we interpret now (local, utc, fixed offset). So create\n // a now version of current config (take local/utc/offset flags, and\n // create now).\n weekYear = defaults(w.GG, config._a[YEAR], weekOfYear(createLocal(), 1, 4).year);\n week = defaults(w.W, 1);\n weekday = defaults(w.E, 1);\n if (weekday < 1 || weekday > 7) {\n weekdayOverflow = true;\n }\n } else {\n dow = config._locale._week.dow;\n doy = config._locale._week.doy;\n var curWeek = weekOfYear(createLocal(), dow, doy);\n weekYear = defaults(w.gg, config._a[YEAR], curWeek.year);\n\n // Default to current week.\n week = defaults(w.w, curWeek.week);\n if (w.d != null) {\n // weekday -- low day numbers are considered next week\n weekday = w.d;\n if (weekday < 0 || weekday > 6) {\n weekdayOverflow = true;\n }\n } else if (w.e != null) {\n // local weekday -- counting starts from beginning of week\n weekday = w.e + dow;\n if (w.e < 0 || w.e > 6) {\n weekdayOverflow = true;\n }\n } else {\n // default to beginning of week\n weekday = dow;\n }\n }\n if (week < 1 || week > weeksInYear(weekYear, dow, doy)) {\n getParsingFlags(config)._overflowWeeks = true;\n } else if (weekdayOverflow != null) {\n getParsingFlags(config)._overflowWeekday = true;\n } else {\n temp = dayOfYearFromWeeks(weekYear, week, weekday, dow, doy);\n config._a[YEAR] = temp.year;\n config._dayOfYear = temp.dayOfYear;\n }\n }\n\n // iso 8601 regex\n // 0000-00-00 0000-W00 or 0000-W00-0 + T + 00 or 00:00 or 00:00:00 or 00:00:00.000 + +00:00 or +0000 or +00)\n var extendedIsoRegex = /^\\s*((?:[+-]\\d{6}|\\d{4})-(?:\\d\\d-\\d\\d|W\\d\\d-\\d|W\\d\\d|\\d\\d\\d|\\d\\d))(?:(T| )(\\d\\d(?::\\d\\d(?::\\d\\d(?:[.,]\\d+)?)?)?)([\\+\\-]\\d\\d(?::?\\d\\d)?|\\s*Z)?)?$/;\n var basicIsoRegex = /^\\s*((?:[+-]\\d{6}|\\d{4})(?:\\d\\d\\d\\d|W\\d\\d\\d|W\\d\\d|\\d\\d\\d|\\d\\d))(?:(T| )(\\d\\d(?:\\d\\d(?:\\d\\d(?:[.,]\\d+)?)?)?)([\\+\\-]\\d\\d(?::?\\d\\d)?|\\s*Z)?)?$/;\n var tzRegex = /Z|[+-]\\d\\d(?::?\\d\\d)?/;\n var isoDates = [['YYYYYY-MM-DD', /[+-]\\d{6}-\\d\\d-\\d\\d/], ['YYYY-MM-DD', /\\d{4}-\\d\\d-\\d\\d/], ['GGGG-[W]WW-E', /\\d{4}-W\\d\\d-\\d/], ['GGGG-[W]WW', /\\d{4}-W\\d\\d/, false], ['YYYY-DDD', /\\d{4}-\\d{3}/], ['YYYY-MM', /\\d{4}-\\d\\d/, false], ['YYYYYYMMDD', /[+-]\\d{10}/], ['YYYYMMDD', /\\d{8}/],\n // YYYYMM is NOT allowed by the standard\n ['GGGG[W]WWE', /\\d{4}W\\d{3}/], ['GGGG[W]WW', /\\d{4}W\\d{2}/, false], ['YYYYDDD', /\\d{7}/]];\n\n // iso time formats and regexes\n var isoTimes = [['HH:mm:ss.SSSS', /\\d\\d:\\d\\d:\\d\\d\\.\\d+/], ['HH:mm:ss,SSSS', /\\d\\d:\\d\\d:\\d\\d,\\d+/], ['HH:mm:ss', /\\d\\d:\\d\\d:\\d\\d/], ['HH:mm', /\\d\\d:\\d\\d/], ['HHmmss.SSSS', /\\d\\d\\d\\d\\d\\d\\.\\d+/], ['HHmmss,SSSS', /\\d\\d\\d\\d\\d\\d,\\d+/], ['HHmmss', /\\d\\d\\d\\d\\d\\d/], ['HHmm', /\\d\\d\\d\\d/], ['HH', /\\d\\d/]];\n var aspNetJsonRegex = /^\\/?Date\\((\\-?\\d+)/i;\n\n // date from iso format\n function configFromISO(config) {\n var i,\n l,\n string = config._i,\n match = extendedIsoRegex.exec(string) || basicIsoRegex.exec(string),\n allowTime,\n dateFormat,\n timeFormat,\n tzFormat;\n if (match) {\n getParsingFlags(config).iso = true;\n for (i = 0, l = isoDates.length; i < l; i++) {\n if (isoDates[i][1].exec(match[1])) {\n dateFormat = isoDates[i][0];\n allowTime = isoDates[i][2] !== false;\n break;\n }\n }\n if (dateFormat == null) {\n config._isValid = false;\n return;\n }\n if (match[3]) {\n for (i = 0, l = isoTimes.length; i < l; i++) {\n if (isoTimes[i][1].exec(match[3])) {\n // match[2] should be 'T' or space\n timeFormat = (match[2] || ' ') + isoTimes[i][0];\n break;\n }\n }\n if (timeFormat == null) {\n config._isValid = false;\n return;\n }\n }\n if (!allowTime && timeFormat != null) {\n config._isValid = false;\n return;\n }\n if (match[4]) {\n if (tzRegex.exec(match[4])) {\n tzFormat = 'Z';\n } else {\n config._isValid = false;\n return;\n }\n }\n config._f = dateFormat + (timeFormat || '') + (tzFormat || '');\n configFromStringAndFormat(config);\n } else {\n config._isValid = false;\n }\n }\n\n // RFC 2822 regex: For details see https://tools.ietf.org/html/rfc2822#section-3.3\n var rfc2822 = /^(?:(Mon|Tue|Wed|Thu|Fri|Sat|Sun),?\\s)?(\\d{1,2})\\s(Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)\\s(\\d{2,4})\\s(\\d\\d):(\\d\\d)(?::(\\d\\d))?\\s(?:(UT|GMT|[ECMP][SD]T)|([Zz])|([+-]\\d{4}))$/;\n function extractFromRFC2822Strings(yearStr, monthStr, dayStr, hourStr, minuteStr, secondStr) {\n var result = [untruncateYear(yearStr), defaultLocaleMonthsShort.indexOf(monthStr), parseInt(dayStr, 10), parseInt(hourStr, 10), parseInt(minuteStr, 10)];\n if (secondStr) {\n result.push(parseInt(secondStr, 10));\n }\n return result;\n }\n function untruncateYear(yearStr) {\n var year = parseInt(yearStr, 10);\n if (year <= 49) {\n return 2000 + year;\n } else if (year <= 999) {\n return 1900 + year;\n }\n return year;\n }\n function preprocessRFC2822(s) {\n // Remove comments and folding whitespace and replace multiple-spaces with a single space\n return s.replace(/\\([^)]*\\)|[\\n\\t]/g, ' ').replace(/(\\s\\s+)/g, ' ').replace(/^\\s\\s*/, '').replace(/\\s\\s*$/, '');\n }\n function checkWeekday(weekdayStr, parsedInput, config) {\n if (weekdayStr) {\n // TODO: Replace the vanilla JS Date object with an indepentent day-of-week check.\n var weekdayProvided = defaultLocaleWeekdaysShort.indexOf(weekdayStr),\n weekdayActual = new Date(parsedInput[0], parsedInput[1], parsedInput[2]).getDay();\n if (weekdayProvided !== weekdayActual) {\n getParsingFlags(config).weekdayMismatch = true;\n config._isValid = false;\n return false;\n }\n }\n return true;\n }\n var obsOffsets = {\n UT: 0,\n GMT: 0,\n EDT: -4 * 60,\n EST: -5 * 60,\n CDT: -5 * 60,\n CST: -6 * 60,\n MDT: -6 * 60,\n MST: -7 * 60,\n PDT: -7 * 60,\n PST: -8 * 60\n };\n function calculateOffset(obsOffset, militaryOffset, numOffset) {\n if (obsOffset) {\n return obsOffsets[obsOffset];\n } else if (militaryOffset) {\n // the only allowed military tz is Z\n return 0;\n } else {\n var hm = parseInt(numOffset, 10);\n var m = hm % 100,\n h = (hm - m) / 100;\n return h * 60 + m;\n }\n }\n\n // date and time from ref 2822 format\n function configFromRFC2822(config) {\n var match = rfc2822.exec(preprocessRFC2822(config._i));\n if (match) {\n var parsedArray = extractFromRFC2822Strings(match[4], match[3], match[2], match[5], match[6], match[7]);\n if (!checkWeekday(match[1], parsedArray, config)) {\n return;\n }\n config._a = parsedArray;\n config._tzm = calculateOffset(match[8], match[9], match[10]);\n config._d = createUTCDate.apply(null, config._a);\n config._d.setUTCMinutes(config._d.getUTCMinutes() - config._tzm);\n getParsingFlags(config).rfc2822 = true;\n } else {\n config._isValid = false;\n }\n }\n\n // date from iso format or fallback\n function configFromString(config) {\n var matched = aspNetJsonRegex.exec(config._i);\n if (matched !== null) {\n config._d = new Date(+matched[1]);\n return;\n }\n configFromISO(config);\n if (config._isValid === false) {\n delete config._isValid;\n } else {\n return;\n }\n configFromRFC2822(config);\n if (config._isValid === false) {\n delete config._isValid;\n } else {\n return;\n }\n\n // Final attempt, use Input Fallback\n hooks.createFromInputFallback(config);\n }\n hooks.createFromInputFallback = deprecate('value provided is not in a recognized RFC2822 or ISO format. moment construction falls back to js Date(), ' + 'which is not reliable across all browsers and versions. Non RFC2822/ISO date formats are ' + 'discouraged and will be removed in an upcoming major release. Please refer to ' + 'http://momentjs.com/guides/#/warnings/js-date/ for more info.', function (config) {\n config._d = new Date(config._i + (config._useUTC ? ' UTC' : ''));\n });\n\n // constant that refers to the ISO standard\n hooks.ISO_8601 = function () {};\n\n // constant that refers to the RFC 2822 form\n hooks.RFC_2822 = function () {};\n\n // date from string and format string\n function configFromStringAndFormat(config) {\n // TODO: Move this to another part of the creation flow to prevent circular deps\n if (config._f === hooks.ISO_8601) {\n configFromISO(config);\n return;\n }\n if (config._f === hooks.RFC_2822) {\n configFromRFC2822(config);\n return;\n }\n config._a = [];\n getParsingFlags(config).empty = true;\n\n // This array is used to make a Date, either with `new Date` or `Date.UTC`\n var string = '' + config._i,\n i,\n parsedInput,\n tokens,\n token,\n skipped,\n stringLength = string.length,\n totalParsedInputLength = 0;\n tokens = expandFormat(config._f, config._locale).match(formattingTokens) || [];\n for (i = 0; i < tokens.length; i++) {\n token = tokens[i];\n parsedInput = (string.match(getParseRegexForToken(token, config)) || [])[0];\n // console.log('token', token, 'parsedInput', parsedInput,\n // 'regex', getParseRegexForToken(token, config));\n if (parsedInput) {\n skipped = string.substr(0, string.indexOf(parsedInput));\n if (skipped.length > 0) {\n getParsingFlags(config).unusedInput.push(skipped);\n }\n string = string.slice(string.indexOf(parsedInput) + parsedInput.length);\n totalParsedInputLength += parsedInput.length;\n }\n // don't parse if it's not a known token\n if (formatTokenFunctions[token]) {\n if (parsedInput) {\n getParsingFlags(config).empty = false;\n } else {\n getParsingFlags(config).unusedTokens.push(token);\n }\n addTimeToArrayFromToken(token, parsedInput, config);\n } else if (config._strict && !parsedInput) {\n getParsingFlags(config).unusedTokens.push(token);\n }\n }\n\n // add remaining unparsed input length to the string\n getParsingFlags(config).charsLeftOver = stringLength - totalParsedInputLength;\n if (string.length > 0) {\n getParsingFlags(config).unusedInput.push(string);\n }\n\n // clear _12h flag if hour is <= 12\n if (config._a[HOUR] <= 12 && getParsingFlags(config).bigHour === true && config._a[HOUR] > 0) {\n getParsingFlags(config).bigHour = undefined;\n }\n getParsingFlags(config).parsedDateParts = config._a.slice(0);\n getParsingFlags(config).meridiem = config._meridiem;\n // handle meridiem\n config._a[HOUR] = meridiemFixWrap(config._locale, config._a[HOUR], config._meridiem);\n configFromArray(config);\n checkOverflow(config);\n }\n function meridiemFixWrap(locale, hour, meridiem) {\n var isPm;\n if (meridiem == null) {\n // nothing to do\n return hour;\n }\n if (locale.meridiemHour != null) {\n return locale.meridiemHour(hour, meridiem);\n } else if (locale.isPM != null) {\n // Fallback\n isPm = locale.isPM(meridiem);\n if (isPm && hour < 12) {\n hour += 12;\n }\n if (!isPm && hour === 12) {\n hour = 0;\n }\n return hour;\n } else {\n // this is not supposed to happen\n return hour;\n }\n }\n\n // date from string and array of format strings\n function configFromStringAndArray(config) {\n var tempConfig, bestMoment, scoreToBeat, i, currentScore;\n if (config._f.length === 0) {\n getParsingFlags(config).invalidFormat = true;\n config._d = new Date(NaN);\n return;\n }\n for (i = 0; i < config._f.length; i++) {\n currentScore = 0;\n tempConfig = copyConfig({}, config);\n if (config._useUTC != null) {\n tempConfig._useUTC = config._useUTC;\n }\n tempConfig._f = config._f[i];\n configFromStringAndFormat(tempConfig);\n if (!isValid(tempConfig)) {\n continue;\n }\n\n // if there is any input that was not parsed add a penalty for that format\n currentScore += getParsingFlags(tempConfig).charsLeftOver;\n\n //or tokens\n currentScore += getParsingFlags(tempConfig).unusedTokens.length * 10;\n getParsingFlags(tempConfig).score = currentScore;\n if (scoreToBeat == null || currentScore < scoreToBeat) {\n scoreToBeat = currentScore;\n bestMoment = tempConfig;\n }\n }\n extend(config, bestMoment || tempConfig);\n }\n function configFromObject(config) {\n if (config._d) {\n return;\n }\n var i = normalizeObjectUnits(config._i);\n config._a = map([i.year, i.month, i.day || i.date, i.hour, i.minute, i.second, i.millisecond], function (obj) {\n return obj && parseInt(obj, 10);\n });\n configFromArray(config);\n }\n function createFromConfig(config) {\n var res = new Moment(checkOverflow(prepareConfig(config)));\n if (res._nextDay) {\n // Adding is smart enough around DST\n res.add(1, 'd');\n res._nextDay = undefined;\n }\n return res;\n }\n function prepareConfig(config) {\n var input = config._i,\n format = config._f;\n config._locale = config._locale || getLocale(config._l);\n if (input === null || format === undefined && input === '') {\n return createInvalid({\n nullInput: true\n });\n }\n if (typeof input === 'string') {\n config._i = input = config._locale.preparse(input);\n }\n if (isMoment(input)) {\n return new Moment(checkOverflow(input));\n } else if (isDate(input)) {\n config._d = input;\n } else if (isArray(format)) {\n configFromStringAndArray(config);\n } else if (format) {\n configFromStringAndFormat(config);\n } else {\n configFromInput(config);\n }\n if (!isValid(config)) {\n config._d = null;\n }\n return config;\n }\n function configFromInput(config) {\n var input = config._i;\n if (isUndefined(input)) {\n config._d = new Date(hooks.now());\n } else if (isDate(input)) {\n config._d = new Date(input.valueOf());\n } else if (typeof input === 'string') {\n configFromString(config);\n } else if (isArray(input)) {\n config._a = map(input.slice(0), function (obj) {\n return parseInt(obj, 10);\n });\n configFromArray(config);\n } else if (isObject(input)) {\n configFromObject(config);\n } else if (isNumber(input)) {\n // from milliseconds\n config._d = new Date(input);\n } else {\n hooks.createFromInputFallback(config);\n }\n }\n function createLocalOrUTC(input, format, locale, strict, isUTC) {\n var c = {};\n if (locale === true || locale === false) {\n strict = locale;\n locale = undefined;\n }\n if (isObject(input) && isObjectEmpty(input) || isArray(input) && input.length === 0) {\n input = undefined;\n }\n // object construction must be done this way.\n // https://github.com/moment/moment/issues/1423\n c._isAMomentObject = true;\n c._useUTC = c._isUTC = isUTC;\n c._l = locale;\n c._i = input;\n c._f = format;\n c._strict = strict;\n return createFromConfig(c);\n }\n function createLocal(input, format, locale, strict) {\n return createLocalOrUTC(input, format, locale, strict, false);\n }\n var prototypeMin = deprecate('moment().min is deprecated, use moment.max instead. http://momentjs.com/guides/#/warnings/min-max/', function () {\n var other = createLocal.apply(null, arguments);\n if (this.isValid() && other.isValid()) {\n return other < this ? this : other;\n } else {\n return createInvalid();\n }\n });\n var prototypeMax = deprecate('moment().max is deprecated, use moment.min instead. http://momentjs.com/guides/#/warnings/min-max/', function () {\n var other = createLocal.apply(null, arguments);\n if (this.isValid() && other.isValid()) {\n return other > this ? this : other;\n } else {\n return createInvalid();\n }\n });\n\n // Pick a moment m from moments so that m[fn](other) is true for all\n // other. This relies on the function fn to be transitive.\n //\n // moments should either be an array of moment objects or an array, whose\n // first element is an array of moment objects.\n function pickBy(fn, moments) {\n var res, i;\n if (moments.length === 1 && isArray(moments[0])) {\n moments = moments[0];\n }\n if (!moments.length) {\n return createLocal();\n }\n res = moments[0];\n for (i = 1; i < moments.length; ++i) {\n if (!moments[i].isValid() || moments[i][fn](res)) {\n res = moments[i];\n }\n }\n return res;\n }\n\n // TODO: Use [].sort instead?\n function min() {\n var args = [].slice.call(arguments, 0);\n return pickBy('isBefore', args);\n }\n function max() {\n var args = [].slice.call(arguments, 0);\n return pickBy('isAfter', args);\n }\n var now = function () {\n return Date.now ? Date.now() : +new Date();\n };\n var ordering = ['year', 'quarter', 'month', 'week', 'day', 'hour', 'minute', 'second', 'millisecond'];\n function isDurationValid(m) {\n for (var key in m) {\n if (!(indexOf.call(ordering, key) !== -1 && (m[key] == null || !isNaN(m[key])))) {\n return false;\n }\n }\n var unitHasDecimal = false;\n for (var i = 0; i < ordering.length; ++i) {\n if (m[ordering[i]]) {\n if (unitHasDecimal) {\n return false; // only allow non-integers for smallest unit\n }\n\n if (parseFloat(m[ordering[i]]) !== toInt(m[ordering[i]])) {\n unitHasDecimal = true;\n }\n }\n }\n return true;\n }\n function isValid$1() {\n return this._isValid;\n }\n function createInvalid$1() {\n return createDuration(NaN);\n }\n function Duration(duration) {\n var normalizedInput = normalizeObjectUnits(duration),\n years = normalizedInput.year || 0,\n quarters = normalizedInput.quarter || 0,\n months = normalizedInput.month || 0,\n weeks = normalizedInput.week || normalizedInput.isoWeek || 0,\n days = normalizedInput.day || 0,\n hours = normalizedInput.hour || 0,\n minutes = normalizedInput.minute || 0,\n seconds = normalizedInput.second || 0,\n milliseconds = normalizedInput.millisecond || 0;\n this._isValid = isDurationValid(normalizedInput);\n\n // representation for dateAddRemove\n this._milliseconds = +milliseconds + seconds * 1e3 +\n // 1000\n minutes * 6e4 +\n // 1000 * 60\n hours * 1000 * 60 * 60; //using 1000 * 60 * 60 instead of 36e5 to avoid floating point rounding errors https://github.com/moment/moment/issues/2978\n // Because of dateAddRemove treats 24 hours as different from a\n // day when working around DST, we need to store them separately\n this._days = +days + weeks * 7;\n // It is impossible to translate months into days without knowing\n // which months you are are talking about, so we have to store\n // it separately.\n this._months = +months + quarters * 3 + years * 12;\n this._data = {};\n this._locale = getLocale();\n this._bubble();\n }\n function isDuration(obj) {\n return obj instanceof Duration;\n }\n function absRound(number) {\n if (number < 0) {\n return Math.round(-1 * number) * -1;\n } else {\n return Math.round(number);\n }\n }\n\n // FORMATTING\n\n function offset(token, separator) {\n addFormatToken(token, 0, 0, function () {\n var offset = this.utcOffset();\n var sign = '+';\n if (offset < 0) {\n offset = -offset;\n sign = '-';\n }\n return sign + zeroFill(~~(offset / 60), 2) + separator + zeroFill(~~offset % 60, 2);\n });\n }\n offset('Z', ':');\n offset('ZZ', '');\n\n // PARSING\n\n addRegexToken('Z', matchShortOffset);\n addRegexToken('ZZ', matchShortOffset);\n addParseToken(['Z', 'ZZ'], function (input, array, config) {\n config._useUTC = true;\n config._tzm = offsetFromString(matchShortOffset, input);\n });\n\n // HELPERS\n\n // timezone chunker\n // '+10:00' > ['10', '00']\n // '-1530' > ['-15', '30']\n var chunkOffset = /([\\+\\-]|\\d\\d)/gi;\n function offsetFromString(matcher, string) {\n var matches = (string || '').match(matcher);\n if (matches === null) {\n return null;\n }\n var chunk = matches[matches.length - 1] || [];\n var parts = (chunk + '').match(chunkOffset) || ['-', 0, 0];\n var minutes = +(parts[1] * 60) + toInt(parts[2]);\n return minutes === 0 ? 0 : parts[0] === '+' ? minutes : -minutes;\n }\n\n // Return a moment from input, that is local/utc/zone equivalent to model.\n function cloneWithOffset(input, model) {\n var res, diff;\n if (model._isUTC) {\n res = model.clone();\n diff = (isMoment(input) || isDate(input) ? input.valueOf() : createLocal(input).valueOf()) - res.valueOf();\n // Use low-level api, because this fn is low-level api.\n res._d.setTime(res._d.valueOf() + diff);\n hooks.updateOffset(res, false);\n return res;\n } else {\n return createLocal(input).local();\n }\n }\n function getDateOffset(m) {\n // On Firefox.24 Date#getTimezoneOffset returns a floating point.\n // https://github.com/moment/moment/pull/1871\n return -Math.round(m._d.getTimezoneOffset() / 15) * 15;\n }\n\n // HOOKS\n\n // This function will be called whenever a moment is mutated.\n // It is intended to keep the offset in sync with the timezone.\n hooks.updateOffset = function () {};\n\n // MOMENTS\n\n // keepLocalTime = true means only change the timezone, without\n // affecting the local hour. So 5:31:26 +0300 --[utcOffset(2, true)]-->\n // 5:31:26 +0200 It is possible that 5:31:26 doesn't exist with offset\n // +0200, so we adjust the time as needed, to be valid.\n //\n // Keeping the time actually adds/subtracts (one hour)\n // from the actual represented time. That is why we call updateOffset\n // a second time. In case it wants us to change the offset again\n // _changeInProgress == true case, then we have to adjust, because\n // there is no such time in the given timezone.\n function getSetOffset(input, keepLocalTime, keepMinutes) {\n var offset = this._offset || 0,\n localAdjust;\n if (!this.isValid()) {\n return input != null ? this : NaN;\n }\n if (input != null) {\n if (typeof input === 'string') {\n input = offsetFromString(matchShortOffset, input);\n if (input === null) {\n return this;\n }\n } else if (Math.abs(input) < 16 && !keepMinutes) {\n input = input * 60;\n }\n if (!this._isUTC && keepLocalTime) {\n localAdjust = getDateOffset(this);\n }\n this._offset = input;\n this._isUTC = true;\n if (localAdjust != null) {\n this.add(localAdjust, 'm');\n }\n if (offset !== input) {\n if (!keepLocalTime || this._changeInProgress) {\n addSubtract(this, createDuration(input - offset, 'm'), 1, false);\n } else if (!this._changeInProgress) {\n this._changeInProgress = true;\n hooks.updateOffset(this, true);\n this._changeInProgress = null;\n }\n }\n return this;\n } else {\n return this._isUTC ? offset : getDateOffset(this);\n }\n }\n function getSetZone(input, keepLocalTime) {\n if (input != null) {\n if (typeof input !== 'string') {\n input = -input;\n }\n this.utcOffset(input, keepLocalTime);\n return this;\n } else {\n return -this.utcOffset();\n }\n }\n function setOffsetToUTC(keepLocalTime) {\n return this.utcOffset(0, keepLocalTime);\n }\n function setOffsetToLocal(keepLocalTime) {\n if (this._isUTC) {\n this.utcOffset(0, keepLocalTime);\n this._isUTC = false;\n if (keepLocalTime) {\n this.subtract(getDateOffset(this), 'm');\n }\n }\n return this;\n }\n function setOffsetToParsedOffset() {\n if (this._tzm != null) {\n this.utcOffset(this._tzm, false, true);\n } else if (typeof this._i === 'string') {\n var tZone = offsetFromString(matchOffset, this._i);\n if (tZone != null) {\n this.utcOffset(tZone);\n } else {\n this.utcOffset(0, true);\n }\n }\n return this;\n }\n function hasAlignedHourOffset(input) {\n if (!this.isValid()) {\n return false;\n }\n input = input ? createLocal(input).utcOffset() : 0;\n return (this.utcOffset() - input) % 60 === 0;\n }\n function isDaylightSavingTime() {\n return this.utcOffset() > this.clone().month(0).utcOffset() || this.utcOffset() > this.clone().month(5).utcOffset();\n }\n function isDaylightSavingTimeShifted() {\n if (!isUndefined(this._isDSTShifted)) {\n return this._isDSTShifted;\n }\n var c = {};\n copyConfig(c, this);\n c = prepareConfig(c);\n if (c._a) {\n var other = c._isUTC ? createUTC(c._a) : createLocal(c._a);\n this._isDSTShifted = this.isValid() && compareArrays(c._a, other.toArray()) > 0;\n } else {\n this._isDSTShifted = false;\n }\n return this._isDSTShifted;\n }\n function isLocal() {\n return this.isValid() ? !this._isUTC : false;\n }\n function isUtcOffset() {\n return this.isValid() ? this._isUTC : false;\n }\n function isUtc() {\n return this.isValid() ? this._isUTC && this._offset === 0 : false;\n }\n\n // ASP.NET json date format regex\n var aspNetRegex = /^(\\-|\\+)?(?:(\\d*)[. ])?(\\d+)\\:(\\d+)(?:\\:(\\d+)(\\.\\d*)?)?$/;\n\n // from http://docs.closure-library.googlecode.com/git/closure_goog_date_date.js.source.html\n // somewhat more in line with 4.4.3.2 2004 spec, but allows decimal anywhere\n // and further modified to allow for strings containing both week and day\n var isoRegex = /^(-|\\+)?P(?:([-+]?[0-9,.]*)Y)?(?:([-+]?[0-9,.]*)M)?(?:([-+]?[0-9,.]*)W)?(?:([-+]?[0-9,.]*)D)?(?:T(?:([-+]?[0-9,.]*)H)?(?:([-+]?[0-9,.]*)M)?(?:([-+]?[0-9,.]*)S)?)?$/;\n function createDuration(input, key) {\n var duration = input,\n // matching against regexp is expensive, do it on demand\n match = null,\n sign,\n ret,\n diffRes;\n if (isDuration(input)) {\n duration = {\n ms: input._milliseconds,\n d: input._days,\n M: input._months\n };\n } else if (isNumber(input)) {\n duration = {};\n if (key) {\n duration[key] = input;\n } else {\n duration.milliseconds = input;\n }\n } else if (!!(match = aspNetRegex.exec(input))) {\n sign = match[1] === '-' ? -1 : 1;\n duration = {\n y: 0,\n d: toInt(match[DATE]) * sign,\n h: toInt(match[HOUR]) * sign,\n m: toInt(match[MINUTE]) * sign,\n s: toInt(match[SECOND]) * sign,\n ms: toInt(absRound(match[MILLISECOND] * 1000)) * sign // the millisecond decimal point is included in the match\n };\n } else if (!!(match = isoRegex.exec(input))) {\n sign = match[1] === '-' ? -1 : 1;\n duration = {\n y: parseIso(match[2], sign),\n M: parseIso(match[3], sign),\n w: parseIso(match[4], sign),\n d: parseIso(match[5], sign),\n h: parseIso(match[6], sign),\n m: parseIso(match[7], sign),\n s: parseIso(match[8], sign)\n };\n } else if (duration == null) {\n // checks for null or undefined\n duration = {};\n } else if (typeof duration === 'object' && ('from' in duration || 'to' in duration)) {\n diffRes = momentsDifference(createLocal(duration.from), createLocal(duration.to));\n duration = {};\n duration.ms = diffRes.milliseconds;\n duration.M = diffRes.months;\n }\n ret = new Duration(duration);\n if (isDuration(input) && hasOwnProp(input, '_locale')) {\n ret._locale = input._locale;\n }\n return ret;\n }\n createDuration.fn = Duration.prototype;\n createDuration.invalid = createInvalid$1;\n function parseIso(inp, sign) {\n // We'd normally use ~~inp for this, but unfortunately it also\n // converts floats to ints.\n // inp may be undefined, so careful calling replace on it.\n var res = inp && parseFloat(inp.replace(',', '.'));\n // apply sign while we're at it\n return (isNaN(res) ? 0 : res) * sign;\n }\n function positiveMomentsDifference(base, other) {\n var res = {};\n res.months = other.month() - base.month() + (other.year() - base.year()) * 12;\n if (base.clone().add(res.months, 'M').isAfter(other)) {\n --res.months;\n }\n res.milliseconds = +other - +base.clone().add(res.months, 'M');\n return res;\n }\n function momentsDifference(base, other) {\n var res;\n if (!(base.isValid() && other.isValid())) {\n return {\n milliseconds: 0,\n months: 0\n };\n }\n other = cloneWithOffset(other, base);\n if (base.isBefore(other)) {\n res = positiveMomentsDifference(base, other);\n } else {\n res = positiveMomentsDifference(other, base);\n res.milliseconds = -res.milliseconds;\n res.months = -res.months;\n }\n return res;\n }\n\n // TODO: remove 'name' arg after deprecation is removed\n function createAdder(direction, name) {\n return function (val, period) {\n var dur, tmp;\n //invert the arguments, but complain about it\n if (period !== null && !isNaN(+period)) {\n deprecateSimple(name, 'moment().' + name + '(period, number) is deprecated. Please use moment().' + name + '(number, period). ' + 'See http://momentjs.com/guides/#/warnings/add-inverted-param/ for more info.');\n tmp = val;\n val = period;\n period = tmp;\n }\n val = typeof val === 'string' ? +val : val;\n dur = createDuration(val, period);\n addSubtract(this, dur, direction);\n return this;\n };\n }\n function addSubtract(mom, duration, isAdding, updateOffset) {\n var milliseconds = duration._milliseconds,\n days = absRound(duration._days),\n months = absRound(duration._months);\n if (!mom.isValid()) {\n // No op\n return;\n }\n updateOffset = updateOffset == null ? true : updateOffset;\n if (months) {\n setMonth(mom, get(mom, 'Month') + months * isAdding);\n }\n if (days) {\n set$1(mom, 'Date', get(mom, 'Date') + days * isAdding);\n }\n if (milliseconds) {\n mom._d.setTime(mom._d.valueOf() + milliseconds * isAdding);\n }\n if (updateOffset) {\n hooks.updateOffset(mom, days || months);\n }\n }\n var add = createAdder(1, 'add');\n var subtract = createAdder(-1, 'subtract');\n function getCalendarFormat(myMoment, now) {\n var diff = myMoment.diff(now, 'days', true);\n return diff < -6 ? 'sameElse' : diff < -1 ? 'lastWeek' : diff < 0 ? 'lastDay' : diff < 1 ? 'sameDay' : diff < 2 ? 'nextDay' : diff < 7 ? 'nextWeek' : 'sameElse';\n }\n function calendar$1(time, formats) {\n // We want to compare the start of today, vs this.\n // Getting start-of-today depends on whether we're local/utc/offset or not.\n var now = time || createLocal(),\n sod = cloneWithOffset(now, this).startOf('day'),\n format = hooks.calendarFormat(this, sod) || 'sameElse';\n var output = formats && (isFunction(formats[format]) ? formats[format].call(this, now) : formats[format]);\n return this.format(output || this.localeData().calendar(format, this, createLocal(now)));\n }\n function clone() {\n return new Moment(this);\n }\n function isAfter(input, units) {\n var localInput = isMoment(input) ? input : createLocal(input);\n if (!(this.isValid() && localInput.isValid())) {\n return false;\n }\n units = normalizeUnits(units) || 'millisecond';\n if (units === 'millisecond') {\n return this.valueOf() > localInput.valueOf();\n } else {\n return localInput.valueOf() < this.clone().startOf(units).valueOf();\n }\n }\n function isBefore(input, units) {\n var localInput = isMoment(input) ? input : createLocal(input);\n if (!(this.isValid() && localInput.isValid())) {\n return false;\n }\n units = normalizeUnits(units) || 'millisecond';\n if (units === 'millisecond') {\n return this.valueOf() < localInput.valueOf();\n } else {\n return this.clone().endOf(units).valueOf() < localInput.valueOf();\n }\n }\n function isBetween(from, to, units, inclusivity) {\n var localFrom = isMoment(from) ? from : createLocal(from),\n localTo = isMoment(to) ? to : createLocal(to);\n if (!(this.isValid() && localFrom.isValid() && localTo.isValid())) {\n return false;\n }\n inclusivity = inclusivity || '()';\n return (inclusivity[0] === '(' ? this.isAfter(localFrom, units) : !this.isBefore(localFrom, units)) && (inclusivity[1] === ')' ? this.isBefore(localTo, units) : !this.isAfter(localTo, units));\n }\n function isSame(input, units) {\n var localInput = isMoment(input) ? input : createLocal(input),\n inputMs;\n if (!(this.isValid() && localInput.isValid())) {\n return false;\n }\n units = normalizeUnits(units) || 'millisecond';\n if (units === 'millisecond') {\n return this.valueOf() === localInput.valueOf();\n } else {\n inputMs = localInput.valueOf();\n return this.clone().startOf(units).valueOf() <= inputMs && inputMs <= this.clone().endOf(units).valueOf();\n }\n }\n function isSameOrAfter(input, units) {\n return this.isSame(input, units) || this.isAfter(input, units);\n }\n function isSameOrBefore(input, units) {\n return this.isSame(input, units) || this.isBefore(input, units);\n }\n function diff(input, units, asFloat) {\n var that, zoneDelta, output;\n if (!this.isValid()) {\n return NaN;\n }\n that = cloneWithOffset(input, this);\n if (!that.isValid()) {\n return NaN;\n }\n zoneDelta = (that.utcOffset() - this.utcOffset()) * 6e4;\n units = normalizeUnits(units);\n switch (units) {\n case 'year':\n output = monthDiff(this, that) / 12;\n break;\n case 'month':\n output = monthDiff(this, that);\n break;\n case 'quarter':\n output = monthDiff(this, that) / 3;\n break;\n case 'second':\n output = (this - that) / 1e3;\n break;\n // 1000\n case 'minute':\n output = (this - that) / 6e4;\n break;\n // 1000 * 60\n case 'hour':\n output = (this - that) / 36e5;\n break;\n // 1000 * 60 * 60\n case 'day':\n output = (this - that - zoneDelta) / 864e5;\n break;\n // 1000 * 60 * 60 * 24, negate dst\n case 'week':\n output = (this - that - zoneDelta) / 6048e5;\n break;\n // 1000 * 60 * 60 * 24 * 7, negate dst\n default:\n output = this - that;\n }\n return asFloat ? output : absFloor(output);\n }\n function monthDiff(a, b) {\n // difference in months\n var wholeMonthDiff = (b.year() - a.year()) * 12 + (b.month() - a.month()),\n // b is in (anchor - 1 month, anchor + 1 month)\n anchor = a.clone().add(wholeMonthDiff, 'months'),\n anchor2,\n adjust;\n if (b - anchor < 0) {\n anchor2 = a.clone().add(wholeMonthDiff - 1, 'months');\n // linear across the month\n adjust = (b - anchor) / (anchor - anchor2);\n } else {\n anchor2 = a.clone().add(wholeMonthDiff + 1, 'months');\n // linear across the month\n adjust = (b - anchor) / (anchor2 - anchor);\n }\n\n //check for negative zero, return zero if negative zero\n return -(wholeMonthDiff + adjust) || 0;\n }\n hooks.defaultFormat = 'YYYY-MM-DDTHH:mm:ssZ';\n hooks.defaultFormatUtc = 'YYYY-MM-DDTHH:mm:ss[Z]';\n function toString() {\n return this.clone().locale('en').format('ddd MMM DD YYYY HH:mm:ss [GMT]ZZ');\n }\n function toISOString(keepOffset) {\n if (!this.isValid()) {\n return null;\n }\n var utc = keepOffset !== true;\n var m = utc ? this.clone().utc() : this;\n if (m.year() < 0 || m.year() > 9999) {\n return formatMoment(m, utc ? 'YYYYYY-MM-DD[T]HH:mm:ss.SSS[Z]' : 'YYYYYY-MM-DD[T]HH:mm:ss.SSSZ');\n }\n if (isFunction(Date.prototype.toISOString)) {\n // native implementation is ~50x faster, use it when we can\n if (utc) {\n return this.toDate().toISOString();\n } else {\n return new Date(this.valueOf() + this.utcOffset() * 60 * 1000).toISOString().replace('Z', formatMoment(m, 'Z'));\n }\n }\n return formatMoment(m, utc ? 'YYYY-MM-DD[T]HH:mm:ss.SSS[Z]' : 'YYYY-MM-DD[T]HH:mm:ss.SSSZ');\n }\n\n /**\n * Return a human readable representation of a moment that can\n * also be evaluated to get a new moment which is the same\n *\n * @link https://nodejs.org/dist/latest/docs/api/util.html#util_custom_inspect_function_on_objects\n */\n function inspect() {\n if (!this.isValid()) {\n return 'moment.invalid(/* ' + this._i + ' */)';\n }\n var func = 'moment';\n var zone = '';\n if (!this.isLocal()) {\n func = this.utcOffset() === 0 ? 'moment.utc' : 'moment.parseZone';\n zone = 'Z';\n }\n var prefix = '[' + func + '(\"]';\n var year = 0 <= this.year() && this.year() <= 9999 ? 'YYYY' : 'YYYYYY';\n var datetime = '-MM-DD[T]HH:mm:ss.SSS';\n var suffix = zone + '[\")]';\n return this.format(prefix + year + datetime + suffix);\n }\n function format(inputString) {\n if (!inputString) {\n inputString = this.isUtc() ? hooks.defaultFormatUtc : hooks.defaultFormat;\n }\n var output = formatMoment(this, inputString);\n return this.localeData().postformat(output);\n }\n function from(time, withoutSuffix) {\n if (this.isValid() && (isMoment(time) && time.isValid() || createLocal(time).isValid())) {\n return createDuration({\n to: this,\n from: time\n }).locale(this.locale()).humanize(!withoutSuffix);\n } else {\n return this.localeData().invalidDate();\n }\n }\n function fromNow(withoutSuffix) {\n return this.from(createLocal(), withoutSuffix);\n }\n function to(time, withoutSuffix) {\n if (this.isValid() && (isMoment(time) && time.isValid() || createLocal(time).isValid())) {\n return createDuration({\n from: this,\n to: time\n }).locale(this.locale()).humanize(!withoutSuffix);\n } else {\n return this.localeData().invalidDate();\n }\n }\n function toNow(withoutSuffix) {\n return this.to(createLocal(), withoutSuffix);\n }\n\n // If passed a locale key, it will set the locale for this\n // instance. Otherwise, it will return the locale configuration\n // variables for this instance.\n function locale(key) {\n var newLocaleData;\n if (key === undefined) {\n return this._locale._abbr;\n } else {\n newLocaleData = getLocale(key);\n if (newLocaleData != null) {\n this._locale = newLocaleData;\n }\n return this;\n }\n }\n var lang = deprecate('moment().lang() is deprecated. Instead, use moment().localeData() to get the language configuration. Use moment().locale() to change languages.', function (key) {\n if (key === undefined) {\n return this.localeData();\n } else {\n return this.locale(key);\n }\n });\n function localeData() {\n return this._locale;\n }\n var MS_PER_SECOND = 1000;\n var MS_PER_MINUTE = 60 * MS_PER_SECOND;\n var MS_PER_HOUR = 60 * MS_PER_MINUTE;\n var MS_PER_400_YEARS = (365 * 400 + 97) * 24 * MS_PER_HOUR;\n\n // actual modulo - handles negative numbers (for dates before 1970):\n function mod$1(dividend, divisor) {\n return (dividend % divisor + divisor) % divisor;\n }\n function localStartOfDate(y, m, d) {\n // the date constructor remaps years 0-99 to 1900-1999\n if (y < 100 && y >= 0) {\n // preserve leap years using a full 400 year cycle, then reset\n return new Date(y + 400, m, d) - MS_PER_400_YEARS;\n } else {\n return new Date(y, m, d).valueOf();\n }\n }\n function utcStartOfDate(y, m, d) {\n // Date.UTC remaps years 0-99 to 1900-1999\n if (y < 100 && y >= 0) {\n // preserve leap years using a full 400 year cycle, then reset\n return Date.UTC(y + 400, m, d) - MS_PER_400_YEARS;\n } else {\n return Date.UTC(y, m, d);\n }\n }\n function startOf(units) {\n var time;\n units = normalizeUnits(units);\n if (units === undefined || units === 'millisecond' || !this.isValid()) {\n return this;\n }\n var startOfDate = this._isUTC ? utcStartOfDate : localStartOfDate;\n switch (units) {\n case 'year':\n time = startOfDate(this.year(), 0, 1);\n break;\n case 'quarter':\n time = startOfDate(this.year(), this.month() - this.month() % 3, 1);\n break;\n case 'month':\n time = startOfDate(this.year(), this.month(), 1);\n break;\n case 'week':\n time = startOfDate(this.year(), this.month(), this.date() - this.weekday());\n break;\n case 'isoWeek':\n time = startOfDate(this.year(), this.month(), this.date() - (this.isoWeekday() - 1));\n break;\n case 'day':\n case 'date':\n time = startOfDate(this.year(), this.month(), this.date());\n break;\n case 'hour':\n time = this._d.valueOf();\n time -= mod$1(time + (this._isUTC ? 0 : this.utcOffset() * MS_PER_MINUTE), MS_PER_HOUR);\n break;\n case 'minute':\n time = this._d.valueOf();\n time -= mod$1(time, MS_PER_MINUTE);\n break;\n case 'second':\n time = this._d.valueOf();\n time -= mod$1(time, MS_PER_SECOND);\n break;\n }\n this._d.setTime(time);\n hooks.updateOffset(this, true);\n return this;\n }\n function endOf(units) {\n var time;\n units = normalizeUnits(units);\n if (units === undefined || units === 'millisecond' || !this.isValid()) {\n return this;\n }\n var startOfDate = this._isUTC ? utcStartOfDate : localStartOfDate;\n switch (units) {\n case 'year':\n time = startOfDate(this.year() + 1, 0, 1) - 1;\n break;\n case 'quarter':\n time = startOfDate(this.year(), this.month() - this.month() % 3 + 3, 1) - 1;\n break;\n case 'month':\n time = startOfDate(this.year(), this.month() + 1, 1) - 1;\n break;\n case 'week':\n time = startOfDate(this.year(), this.month(), this.date() - this.weekday() + 7) - 1;\n break;\n case 'isoWeek':\n time = startOfDate(this.year(), this.month(), this.date() - (this.isoWeekday() - 1) + 7) - 1;\n break;\n case 'day':\n case 'date':\n time = startOfDate(this.year(), this.month(), this.date() + 1) - 1;\n break;\n case 'hour':\n time = this._d.valueOf();\n time += MS_PER_HOUR - mod$1(time + (this._isUTC ? 0 : this.utcOffset() * MS_PER_MINUTE), MS_PER_HOUR) - 1;\n break;\n case 'minute':\n time = this._d.valueOf();\n time += MS_PER_MINUTE - mod$1(time, MS_PER_MINUTE) - 1;\n break;\n case 'second':\n time = this._d.valueOf();\n time += MS_PER_SECOND - mod$1(time, MS_PER_SECOND) - 1;\n break;\n }\n this._d.setTime(time);\n hooks.updateOffset(this, true);\n return this;\n }\n function valueOf() {\n return this._d.valueOf() - (this._offset || 0) * 60000;\n }\n function unix() {\n return Math.floor(this.valueOf() / 1000);\n }\n function toDate() {\n return new Date(this.valueOf());\n }\n function toArray() {\n var m = this;\n return [m.year(), m.month(), m.date(), m.hour(), m.minute(), m.second(), m.millisecond()];\n }\n function toObject() {\n var m = this;\n return {\n years: m.year(),\n months: m.month(),\n date: m.date(),\n hours: m.hours(),\n minutes: m.minutes(),\n seconds: m.seconds(),\n milliseconds: m.milliseconds()\n };\n }\n function toJSON() {\n // new Date(NaN).toJSON() === null\n return this.isValid() ? this.toISOString() : null;\n }\n function isValid$2() {\n return isValid(this);\n }\n function parsingFlags() {\n return extend({}, getParsingFlags(this));\n }\n function invalidAt() {\n return getParsingFlags(this).overflow;\n }\n function creationData() {\n return {\n input: this._i,\n format: this._f,\n locale: this._locale,\n isUTC: this._isUTC,\n strict: this._strict\n };\n }\n\n // FORMATTING\n\n addFormatToken(0, ['gg', 2], 0, function () {\n return this.weekYear() % 100;\n });\n addFormatToken(0, ['GG', 2], 0, function () {\n return this.isoWeekYear() % 100;\n });\n function addWeekYearFormatToken(token, getter) {\n addFormatToken(0, [token, token.length], 0, getter);\n }\n addWeekYearFormatToken('gggg', 'weekYear');\n addWeekYearFormatToken('ggggg', 'weekYear');\n addWeekYearFormatToken('GGGG', 'isoWeekYear');\n addWeekYearFormatToken('GGGGG', 'isoWeekYear');\n\n // ALIASES\n\n addUnitAlias('weekYear', 'gg');\n addUnitAlias('isoWeekYear', 'GG');\n\n // PRIORITY\n\n addUnitPriority('weekYear', 1);\n addUnitPriority('isoWeekYear', 1);\n\n // PARSING\n\n addRegexToken('G', matchSigned);\n addRegexToken('g', matchSigned);\n addRegexToken('GG', match1to2, match2);\n addRegexToken('gg', match1to2, match2);\n addRegexToken('GGGG', match1to4, match4);\n addRegexToken('gggg', match1to4, match4);\n addRegexToken('GGGGG', match1to6, match6);\n addRegexToken('ggggg', match1to6, match6);\n addWeekParseToken(['gggg', 'ggggg', 'GGGG', 'GGGGG'], function (input, week, config, token) {\n week[token.substr(0, 2)] = toInt(input);\n });\n addWeekParseToken(['gg', 'GG'], function (input, week, config, token) {\n week[token] = hooks.parseTwoDigitYear(input);\n });\n\n // MOMENTS\n\n function getSetWeekYear(input) {\n return getSetWeekYearHelper.call(this, input, this.week(), this.weekday(), this.localeData()._week.dow, this.localeData()._week.doy);\n }\n function getSetISOWeekYear(input) {\n return getSetWeekYearHelper.call(this, input, this.isoWeek(), this.isoWeekday(), 1, 4);\n }\n function getISOWeeksInYear() {\n return weeksInYear(this.year(), 1, 4);\n }\n function getWeeksInYear() {\n var weekInfo = this.localeData()._week;\n return weeksInYear(this.year(), weekInfo.dow, weekInfo.doy);\n }\n function getSetWeekYearHelper(input, week, weekday, dow, doy) {\n var weeksTarget;\n if (input == null) {\n return weekOfYear(this, dow, doy).year;\n } else {\n weeksTarget = weeksInYear(input, dow, doy);\n if (week > weeksTarget) {\n week = weeksTarget;\n }\n return setWeekAll.call(this, input, week, weekday, dow, doy);\n }\n }\n function setWeekAll(weekYear, week, weekday, dow, doy) {\n var dayOfYearData = dayOfYearFromWeeks(weekYear, week, weekday, dow, doy),\n date = createUTCDate(dayOfYearData.year, 0, dayOfYearData.dayOfYear);\n this.year(date.getUTCFullYear());\n this.month(date.getUTCMonth());\n this.date(date.getUTCDate());\n return this;\n }\n\n // FORMATTING\n\n addFormatToken('Q', 0, 'Qo', 'quarter');\n\n // ALIASES\n\n addUnitAlias('quarter', 'Q');\n\n // PRIORITY\n\n addUnitPriority('quarter', 7);\n\n // PARSING\n\n addRegexToken('Q', match1);\n addParseToken('Q', function (input, array) {\n array[MONTH] = (toInt(input) - 1) * 3;\n });\n\n // MOMENTS\n\n function getSetQuarter(input) {\n return input == null ? Math.ceil((this.month() + 1) / 3) : this.month((input - 1) * 3 + this.month() % 3);\n }\n\n // FORMATTING\n\n addFormatToken('D', ['DD', 2], 'Do', 'date');\n\n // ALIASES\n\n addUnitAlias('date', 'D');\n\n // PRIORITY\n addUnitPriority('date', 9);\n\n // PARSING\n\n addRegexToken('D', match1to2);\n addRegexToken('DD', match1to2, match2);\n addRegexToken('Do', function (isStrict, locale) {\n // TODO: Remove \"ordinalParse\" fallback in next major release.\n return isStrict ? locale._dayOfMonthOrdinalParse || locale._ordinalParse : locale._dayOfMonthOrdinalParseLenient;\n });\n addParseToken(['D', 'DD'], DATE);\n addParseToken('Do', function (input, array) {\n array[DATE] = toInt(input.match(match1to2)[0]);\n });\n\n // MOMENTS\n\n var getSetDayOfMonth = makeGetSet('Date', true);\n\n // FORMATTING\n\n addFormatToken('DDD', ['DDDD', 3], 'DDDo', 'dayOfYear');\n\n // ALIASES\n\n addUnitAlias('dayOfYear', 'DDD');\n\n // PRIORITY\n addUnitPriority('dayOfYear', 4);\n\n // PARSING\n\n addRegexToken('DDD', match1to3);\n addRegexToken('DDDD', match3);\n addParseToken(['DDD', 'DDDD'], function (input, array, config) {\n config._dayOfYear = toInt(input);\n });\n\n // HELPERS\n\n // MOMENTS\n\n function getSetDayOfYear(input) {\n var dayOfYear = Math.round((this.clone().startOf('day') - this.clone().startOf('year')) / 864e5) + 1;\n return input == null ? dayOfYear : this.add(input - dayOfYear, 'd');\n }\n\n // FORMATTING\n\n addFormatToken('m', ['mm', 2], 0, 'minute');\n\n // ALIASES\n\n addUnitAlias('minute', 'm');\n\n // PRIORITY\n\n addUnitPriority('minute', 14);\n\n // PARSING\n\n addRegexToken('m', match1to2);\n addRegexToken('mm', match1to2, match2);\n addParseToken(['m', 'mm'], MINUTE);\n\n // MOMENTS\n\n var getSetMinute = makeGetSet('Minutes', false);\n\n // FORMATTING\n\n addFormatToken('s', ['ss', 2], 0, 'second');\n\n // ALIASES\n\n addUnitAlias('second', 's');\n\n // PRIORITY\n\n addUnitPriority('second', 15);\n\n // PARSING\n\n addRegexToken('s', match1to2);\n addRegexToken('ss', match1to2, match2);\n addParseToken(['s', 'ss'], SECOND);\n\n // MOMENTS\n\n var getSetSecond = makeGetSet('Seconds', false);\n\n // FORMATTING\n\n addFormatToken('S', 0, 0, function () {\n return ~~(this.millisecond() / 100);\n });\n addFormatToken(0, ['SS', 2], 0, function () {\n return ~~(this.millisecond() / 10);\n });\n addFormatToken(0, ['SSS', 3], 0, 'millisecond');\n addFormatToken(0, ['SSSS', 4], 0, function () {\n return this.millisecond() * 10;\n });\n addFormatToken(0, ['SSSSS', 5], 0, function () {\n return this.millisecond() * 100;\n });\n addFormatToken(0, ['SSSSSS', 6], 0, function () {\n return this.millisecond() * 1000;\n });\n addFormatToken(0, ['SSSSSSS', 7], 0, function () {\n return this.millisecond() * 10000;\n });\n addFormatToken(0, ['SSSSSSSS', 8], 0, function () {\n return this.millisecond() * 100000;\n });\n addFormatToken(0, ['SSSSSSSSS', 9], 0, function () {\n return this.millisecond() * 1000000;\n });\n\n // ALIASES\n\n addUnitAlias('millisecond', 'ms');\n\n // PRIORITY\n\n addUnitPriority('millisecond', 16);\n\n // PARSING\n\n addRegexToken('S', match1to3, match1);\n addRegexToken('SS', match1to3, match2);\n addRegexToken('SSS', match1to3, match3);\n var token;\n for (token = 'SSSS'; token.length <= 9; token += 'S') {\n addRegexToken(token, matchUnsigned);\n }\n function parseMs(input, array) {\n array[MILLISECOND] = toInt(('0.' + input) * 1000);\n }\n for (token = 'S'; token.length <= 9; token += 'S') {\n addParseToken(token, parseMs);\n }\n // MOMENTS\n\n var getSetMillisecond = makeGetSet('Milliseconds', false);\n\n // FORMATTING\n\n addFormatToken('z', 0, 0, 'zoneAbbr');\n addFormatToken('zz', 0, 0, 'zoneName');\n\n // MOMENTS\n\n function getZoneAbbr() {\n return this._isUTC ? 'UTC' : '';\n }\n function getZoneName() {\n return this._isUTC ? 'Coordinated Universal Time' : '';\n }\n var proto = Moment.prototype;\n proto.add = add;\n proto.calendar = calendar$1;\n proto.clone = clone;\n proto.diff = diff;\n proto.endOf = endOf;\n proto.format = format;\n proto.from = from;\n proto.fromNow = fromNow;\n proto.to = to;\n proto.toNow = toNow;\n proto.get = stringGet;\n proto.invalidAt = invalidAt;\n proto.isAfter = isAfter;\n proto.isBefore = isBefore;\n proto.isBetween = isBetween;\n proto.isSame = isSame;\n proto.isSameOrAfter = isSameOrAfter;\n proto.isSameOrBefore = isSameOrBefore;\n proto.isValid = isValid$2;\n proto.lang = lang;\n proto.locale = locale;\n proto.localeData = localeData;\n proto.max = prototypeMax;\n proto.min = prototypeMin;\n proto.parsingFlags = parsingFlags;\n proto.set = stringSet;\n proto.startOf = startOf;\n proto.subtract = subtract;\n proto.toArray = toArray;\n proto.toObject = toObject;\n proto.toDate = toDate;\n proto.toISOString = toISOString;\n proto.inspect = inspect;\n proto.toJSON = toJSON;\n proto.toString = toString;\n proto.unix = unix;\n proto.valueOf = valueOf;\n proto.creationData = creationData;\n proto.year = getSetYear;\n proto.isLeapYear = getIsLeapYear;\n proto.weekYear = getSetWeekYear;\n proto.isoWeekYear = getSetISOWeekYear;\n proto.quarter = proto.quarters = getSetQuarter;\n proto.month = getSetMonth;\n proto.daysInMonth = getDaysInMonth;\n proto.week = proto.weeks = getSetWeek;\n proto.isoWeek = proto.isoWeeks = getSetISOWeek;\n proto.weeksInYear = getWeeksInYear;\n proto.isoWeeksInYear = getISOWeeksInYear;\n proto.date = getSetDayOfMonth;\n proto.day = proto.days = getSetDayOfWeek;\n proto.weekday = getSetLocaleDayOfWeek;\n proto.isoWeekday = getSetISODayOfWeek;\n proto.dayOfYear = getSetDayOfYear;\n proto.hour = proto.hours = getSetHour;\n proto.minute = proto.minutes = getSetMinute;\n proto.second = proto.seconds = getSetSecond;\n proto.millisecond = proto.milliseconds = getSetMillisecond;\n proto.utcOffset = getSetOffset;\n proto.utc = setOffsetToUTC;\n proto.local = setOffsetToLocal;\n proto.parseZone = setOffsetToParsedOffset;\n proto.hasAlignedHourOffset = hasAlignedHourOffset;\n proto.isDST = isDaylightSavingTime;\n proto.isLocal = isLocal;\n proto.isUtcOffset = isUtcOffset;\n proto.isUtc = isUtc;\n proto.isUTC = isUtc;\n proto.zoneAbbr = getZoneAbbr;\n proto.zoneName = getZoneName;\n proto.dates = deprecate('dates accessor is deprecated. Use date instead.', getSetDayOfMonth);\n proto.months = deprecate('months accessor is deprecated. Use month instead', getSetMonth);\n proto.years = deprecate('years accessor is deprecated. Use year instead', getSetYear);\n proto.zone = deprecate('moment().zone is deprecated, use moment().utcOffset instead. http://momentjs.com/guides/#/warnings/zone/', getSetZone);\n proto.isDSTShifted = deprecate('isDSTShifted is deprecated. See http://momentjs.com/guides/#/warnings/dst-shifted/ for more information', isDaylightSavingTimeShifted);\n function createUnix(input) {\n return createLocal(input * 1000);\n }\n function createInZone() {\n return createLocal.apply(null, arguments).parseZone();\n }\n function preParsePostFormat(string) {\n return string;\n }\n var proto$1 = Locale.prototype;\n proto$1.calendar = calendar;\n proto$1.longDateFormat = longDateFormat;\n proto$1.invalidDate = invalidDate;\n proto$1.ordinal = ordinal;\n proto$1.preparse = preParsePostFormat;\n proto$1.postformat = preParsePostFormat;\n proto$1.relativeTime = relativeTime;\n proto$1.pastFuture = pastFuture;\n proto$1.set = set;\n proto$1.months = localeMonths;\n proto$1.monthsShort = localeMonthsShort;\n proto$1.monthsParse = localeMonthsParse;\n proto$1.monthsRegex = monthsRegex;\n proto$1.monthsShortRegex = monthsShortRegex;\n proto$1.week = localeWeek;\n proto$1.firstDayOfYear = localeFirstDayOfYear;\n proto$1.firstDayOfWeek = localeFirstDayOfWeek;\n proto$1.weekdays = localeWeekdays;\n proto$1.weekdaysMin = localeWeekdaysMin;\n proto$1.weekdaysShort = localeWeekdaysShort;\n proto$1.weekdaysParse = localeWeekdaysParse;\n proto$1.weekdaysRegex = weekdaysRegex;\n proto$1.weekdaysShortRegex = weekdaysShortRegex;\n proto$1.weekdaysMinRegex = weekdaysMinRegex;\n proto$1.isPM = localeIsPM;\n proto$1.meridiem = localeMeridiem;\n function get$1(format, index, field, setter) {\n var locale = getLocale();\n var utc = createUTC().set(setter, index);\n return locale[field](utc, format);\n }\n function listMonthsImpl(format, index, field) {\n if (isNumber(format)) {\n index = format;\n format = undefined;\n }\n format = format || '';\n if (index != null) {\n return get$1(format, index, field, 'month');\n }\n var i;\n var out = [];\n for (i = 0; i < 12; i++) {\n out[i] = get$1(format, i, field, 'month');\n }\n return out;\n }\n\n // ()\n // (5)\n // (fmt, 5)\n // (fmt)\n // (true)\n // (true, 5)\n // (true, fmt, 5)\n // (true, fmt)\n function listWeekdaysImpl(localeSorted, format, index, field) {\n if (typeof localeSorted === 'boolean') {\n if (isNumber(format)) {\n index = format;\n format = undefined;\n }\n format = format || '';\n } else {\n format = localeSorted;\n index = format;\n localeSorted = false;\n if (isNumber(format)) {\n index = format;\n format = undefined;\n }\n format = format || '';\n }\n var locale = getLocale(),\n shift = localeSorted ? locale._week.dow : 0;\n if (index != null) {\n return get$1(format, (index + shift) % 7, field, 'day');\n }\n var i;\n var out = [];\n for (i = 0; i < 7; i++) {\n out[i] = get$1(format, (i + shift) % 7, field, 'day');\n }\n return out;\n }\n function listMonths(format, index) {\n return listMonthsImpl(format, index, 'months');\n }\n function listMonthsShort(format, index) {\n return listMonthsImpl(format, index, 'monthsShort');\n }\n function listWeekdays(localeSorted, format, index) {\n return listWeekdaysImpl(localeSorted, format, index, 'weekdays');\n }\n function listWeekdaysShort(localeSorted, format, index) {\n return listWeekdaysImpl(localeSorted, format, index, 'weekdaysShort');\n }\n function listWeekdaysMin(localeSorted, format, index) {\n return listWeekdaysImpl(localeSorted, format, index, 'weekdaysMin');\n }\n getSetGlobalLocale('en', {\n dayOfMonthOrdinalParse: /\\d{1,2}(th|st|nd|rd)/,\n ordinal: function (number) {\n var b = number % 10,\n output = toInt(number % 100 / 10) === 1 ? 'th' : b === 1 ? 'st' : b === 2 ? 'nd' : b === 3 ? 'rd' : 'th';\n return number + output;\n }\n });\n\n // Side effect imports\n\n hooks.lang = deprecate('moment.lang is deprecated. Use moment.locale instead.', getSetGlobalLocale);\n hooks.langData = deprecate('moment.langData is deprecated. Use moment.localeData instead.', getLocale);\n var mathAbs = Math.abs;\n function abs() {\n var data = this._data;\n this._milliseconds = mathAbs(this._milliseconds);\n this._days = mathAbs(this._days);\n this._months = mathAbs(this._months);\n data.milliseconds = mathAbs(data.milliseconds);\n data.seconds = mathAbs(data.seconds);\n data.minutes = mathAbs(data.minutes);\n data.hours = mathAbs(data.hours);\n data.months = mathAbs(data.months);\n data.years = mathAbs(data.years);\n return this;\n }\n function addSubtract$1(duration, input, value, direction) {\n var other = createDuration(input, value);\n duration._milliseconds += direction * other._milliseconds;\n duration._days += direction * other._days;\n duration._months += direction * other._months;\n return duration._bubble();\n }\n\n // supports only 2.0-style add(1, 's') or add(duration)\n function add$1(input, value) {\n return addSubtract$1(this, input, value, 1);\n }\n\n // supports only 2.0-style subtract(1, 's') or subtract(duration)\n function subtract$1(input, value) {\n return addSubtract$1(this, input, value, -1);\n }\n function absCeil(number) {\n if (number < 0) {\n return Math.floor(number);\n } else {\n return Math.ceil(number);\n }\n }\n function bubble() {\n var milliseconds = this._milliseconds;\n var days = this._days;\n var months = this._months;\n var data = this._data;\n var seconds, minutes, hours, years, monthsFromDays;\n\n // if we have a mix of positive and negative values, bubble down first\n // check: https://github.com/moment/moment/issues/2166\n if (!(milliseconds >= 0 && days >= 0 && months >= 0 || milliseconds <= 0 && days <= 0 && months <= 0)) {\n milliseconds += absCeil(monthsToDays(months) + days) * 864e5;\n days = 0;\n months = 0;\n }\n\n // The following code bubbles up values, see the tests for\n // examples of what that means.\n data.milliseconds = milliseconds % 1000;\n seconds = absFloor(milliseconds / 1000);\n data.seconds = seconds % 60;\n minutes = absFloor(seconds / 60);\n data.minutes = minutes % 60;\n hours = absFloor(minutes / 60);\n data.hours = hours % 24;\n days += absFloor(hours / 24);\n\n // convert days to months\n monthsFromDays = absFloor(daysToMonths(days));\n months += monthsFromDays;\n days -= absCeil(monthsToDays(monthsFromDays));\n\n // 12 months -> 1 year\n years = absFloor(months / 12);\n months %= 12;\n data.days = days;\n data.months = months;\n data.years = years;\n return this;\n }\n function daysToMonths(days) {\n // 400 years have 146097 days (taking into account leap year rules)\n // 400 years have 12 months === 4800\n return days * 4800 / 146097;\n }\n function monthsToDays(months) {\n // the reverse of daysToMonths\n return months * 146097 / 4800;\n }\n function as(units) {\n if (!this.isValid()) {\n return NaN;\n }\n var days;\n var months;\n var milliseconds = this._milliseconds;\n units = normalizeUnits(units);\n if (units === 'month' || units === 'quarter' || units === 'year') {\n days = this._days + milliseconds / 864e5;\n months = this._months + daysToMonths(days);\n switch (units) {\n case 'month':\n return months;\n case 'quarter':\n return months / 3;\n case 'year':\n return months / 12;\n }\n } else {\n // handle milliseconds separately because of floating point math errors (issue #1867)\n days = this._days + Math.round(monthsToDays(this._months));\n switch (units) {\n case 'week':\n return days / 7 + milliseconds / 6048e5;\n case 'day':\n return days + milliseconds / 864e5;\n case 'hour':\n return days * 24 + milliseconds / 36e5;\n case 'minute':\n return days * 1440 + milliseconds / 6e4;\n case 'second':\n return days * 86400 + milliseconds / 1000;\n // Math.floor prevents floating point math errors here\n case 'millisecond':\n return Math.floor(days * 864e5) + milliseconds;\n default:\n throw new Error('Unknown unit ' + units);\n }\n }\n }\n\n // TODO: Use this.as('ms')?\n function valueOf$1() {\n if (!this.isValid()) {\n return NaN;\n }\n return this._milliseconds + this._days * 864e5 + this._months % 12 * 2592e6 + toInt(this._months / 12) * 31536e6;\n }\n function makeAs(alias) {\n return function () {\n return this.as(alias);\n };\n }\n var asMilliseconds = makeAs('ms');\n var asSeconds = makeAs('s');\n var asMinutes = makeAs('m');\n var asHours = makeAs('h');\n var asDays = makeAs('d');\n var asWeeks = makeAs('w');\n var asMonths = makeAs('M');\n var asQuarters = makeAs('Q');\n var asYears = makeAs('y');\n function clone$1() {\n return createDuration(this);\n }\n function get$2(units) {\n units = normalizeUnits(units);\n return this.isValid() ? this[units + 's']() : NaN;\n }\n function makeGetter(name) {\n return function () {\n return this.isValid() ? this._data[name] : NaN;\n };\n }\n var milliseconds = makeGetter('milliseconds');\n var seconds = makeGetter('seconds');\n var minutes = makeGetter('minutes');\n var hours = makeGetter('hours');\n var days = makeGetter('days');\n var months = makeGetter('months');\n var years = makeGetter('years');\n function weeks() {\n return absFloor(this.days() / 7);\n }\n var round = Math.round;\n var thresholds = {\n ss: 44,\n // a few seconds to seconds\n s: 45,\n // seconds to minute\n m: 45,\n // minutes to hour\n h: 22,\n // hours to day\n d: 26,\n // days to month\n M: 11 // months to year\n };\n\n // helper function for moment.fn.from, moment.fn.fromNow, and moment.duration.fn.humanize\n function substituteTimeAgo(string, number, withoutSuffix, isFuture, locale) {\n return locale.relativeTime(number || 1, !!withoutSuffix, string, isFuture);\n }\n function relativeTime$1(posNegDuration, withoutSuffix, locale) {\n var duration = createDuration(posNegDuration).abs();\n var seconds = round(duration.as('s'));\n var minutes = round(duration.as('m'));\n var hours = round(duration.as('h'));\n var days = round(duration.as('d'));\n var months = round(duration.as('M'));\n var years = round(duration.as('y'));\n var a = seconds <= thresholds.ss && ['s', seconds] || seconds < thresholds.s && ['ss', seconds] || minutes <= 1 && ['m'] || minutes < thresholds.m && ['mm', minutes] || hours <= 1 && ['h'] || hours < thresholds.h && ['hh', hours] || days <= 1 && ['d'] || days < thresholds.d && ['dd', days] || months <= 1 && ['M'] || months < thresholds.M && ['MM', months] || years <= 1 && ['y'] || ['yy', years];\n a[2] = withoutSuffix;\n a[3] = +posNegDuration > 0;\n a[4] = locale;\n return substituteTimeAgo.apply(null, a);\n }\n\n // This function allows you to set the rounding function for relative time strings\n function getSetRelativeTimeRounding(roundingFunction) {\n if (roundingFunction === undefined) {\n return round;\n }\n if (typeof roundingFunction === 'function') {\n round = roundingFunction;\n return true;\n }\n return false;\n }\n\n // This function allows you to set a threshold for relative time strings\n function getSetRelativeTimeThreshold(threshold, limit) {\n if (thresholds[threshold] === undefined) {\n return false;\n }\n if (limit === undefined) {\n return thresholds[threshold];\n }\n thresholds[threshold] = limit;\n if (threshold === 's') {\n thresholds.ss = limit - 1;\n }\n return true;\n }\n function humanize(withSuffix) {\n if (!this.isValid()) {\n return this.localeData().invalidDate();\n }\n var locale = this.localeData();\n var output = relativeTime$1(this, !withSuffix, locale);\n if (withSuffix) {\n output = locale.pastFuture(+this, output);\n }\n return locale.postformat(output);\n }\n var abs$1 = Math.abs;\n function sign(x) {\n return (x > 0) - (x < 0) || +x;\n }\n function toISOString$1() {\n // for ISO strings we do not use the normal bubbling rules:\n // * milliseconds bubble up until they become hours\n // * days do not bubble at all\n // * months bubble up until they become years\n // This is because there is no context-free conversion between hours and days\n // (think of clock changes)\n // and also not between days and months (28-31 days per month)\n if (!this.isValid()) {\n return this.localeData().invalidDate();\n }\n var seconds = abs$1(this._milliseconds) / 1000;\n var days = abs$1(this._days);\n var months = abs$1(this._months);\n var minutes, hours, years;\n\n // 3600 seconds -> 60 minutes -> 1 hour\n minutes = absFloor(seconds / 60);\n hours = absFloor(minutes / 60);\n seconds %= 60;\n minutes %= 60;\n\n // 12 months -> 1 year\n years = absFloor(months / 12);\n months %= 12;\n\n // inspired by https://github.com/dordille/moment-isoduration/blob/master/moment.isoduration.js\n var Y = years;\n var M = months;\n var D = days;\n var h = hours;\n var m = minutes;\n var s = seconds ? seconds.toFixed(3).replace(/\\.?0+$/, '') : '';\n var total = this.asSeconds();\n if (!total) {\n // this is the same as C#'s (Noda) and python (isodate)...\n // but not other JS (goog.date)\n return 'P0D';\n }\n var totalSign = total < 0 ? '-' : '';\n var ymSign = sign(this._months) !== sign(total) ? '-' : '';\n var daysSign = sign(this._days) !== sign(total) ? '-' : '';\n var hmsSign = sign(this._milliseconds) !== sign(total) ? '-' : '';\n return totalSign + 'P' + (Y ? ymSign + Y + 'Y' : '') + (M ? ymSign + M + 'M' : '') + (D ? daysSign + D + 'D' : '') + (h || m || s ? 'T' : '') + (h ? hmsSign + h + 'H' : '') + (m ? hmsSign + m + 'M' : '') + (s ? hmsSign + s + 'S' : '');\n }\n var proto$2 = Duration.prototype;\n proto$2.isValid = isValid$1;\n proto$2.abs = abs;\n proto$2.add = add$1;\n proto$2.subtract = subtract$1;\n proto$2.as = as;\n proto$2.asMilliseconds = asMilliseconds;\n proto$2.asSeconds = asSeconds;\n proto$2.asMinutes = asMinutes;\n proto$2.asHours = asHours;\n proto$2.asDays = asDays;\n proto$2.asWeeks = asWeeks;\n proto$2.asMonths = asMonths;\n proto$2.asQuarters = asQuarters;\n proto$2.asYears = asYears;\n proto$2.valueOf = valueOf$1;\n proto$2._bubble = bubble;\n proto$2.clone = clone$1;\n proto$2.get = get$2;\n proto$2.milliseconds = milliseconds;\n proto$2.seconds = seconds;\n proto$2.minutes = minutes;\n proto$2.hours = hours;\n proto$2.days = days;\n proto$2.weeks = weeks;\n proto$2.months = months;\n proto$2.years = years;\n proto$2.humanize = humanize;\n proto$2.toISOString = toISOString$1;\n proto$2.toString = toISOString$1;\n proto$2.toJSON = toISOString$1;\n proto$2.locale = locale;\n proto$2.localeData = localeData;\n proto$2.toIsoString = deprecate('toIsoString() is deprecated. Please use toISOString() instead (notice the capitals)', toISOString$1);\n proto$2.lang = lang;\n\n // Side effect imports\n\n // FORMATTING\n\n addFormatToken('X', 0, 0, 'unix');\n addFormatToken('x', 0, 0, 'valueOf');\n\n // PARSING\n\n addRegexToken('x', matchSigned);\n addRegexToken('X', matchTimestamp);\n addParseToken('X', function (input, array, config) {\n config._d = new Date(parseFloat(input, 10) * 1000);\n });\n addParseToken('x', function (input, array, config) {\n config._d = new Date(toInt(input));\n });\n\n // Side effect imports\n\n hooks.version = '2.24.0';\n setHookCallback(createLocal);\n hooks.fn = proto;\n hooks.min = min;\n hooks.max = max;\n hooks.now = now;\n hooks.utc = createUTC;\n hooks.unix = createUnix;\n hooks.months = listMonths;\n hooks.isDate = isDate;\n hooks.locale = getSetGlobalLocale;\n hooks.invalid = createInvalid;\n hooks.duration = createDuration;\n hooks.isMoment = isMoment;\n hooks.weekdays = listWeekdays;\n hooks.parseZone = createInZone;\n hooks.localeData = getLocale;\n hooks.isDuration = isDuration;\n hooks.monthsShort = listMonthsShort;\n hooks.weekdaysMin = listWeekdaysMin;\n hooks.defineLocale = defineLocale;\n hooks.updateLocale = updateLocale;\n hooks.locales = listLocales;\n hooks.weekdaysShort = listWeekdaysShort;\n hooks.normalizeUnits = normalizeUnits;\n hooks.relativeTimeRounding = getSetRelativeTimeRounding;\n hooks.relativeTimeThreshold = getSetRelativeTimeThreshold;\n hooks.calendarFormat = getCalendarFormat;\n hooks.prototype = proto;\n\n // currently HTML5 input type only supports 24-hour formats\n hooks.HTML5_FMT = {\n DATETIME_LOCAL: 'YYYY-MM-DDTHH:mm',\n // \n DATETIME_LOCAL_SECONDS: 'YYYY-MM-DDTHH:mm:ss',\n // \n DATETIME_LOCAL_MS: 'YYYY-MM-DDTHH:mm:ss.SSS',\n // \n DATE: 'YYYY-MM-DD',\n // \n TIME: 'HH:mm',\n // \n TIME_SECONDS: 'HH:mm:ss',\n // \n TIME_MS: 'HH:mm:ss.SSS',\n // \n WEEK: 'GGGG-[W]WW',\n // \n MONTH: 'YYYY-MM' // \n };\n\n return hooks;\n});","'use strict';\n\n/* eslint no-invalid-this: 1 */\nvar ERROR_MESSAGE = 'Function.prototype.bind called on incompatible ';\nvar toStr = Object.prototype.toString;\nvar max = Math.max;\nvar funcType = '[object Function]';\nvar concatty = function concatty(a, b) {\n var arr = [];\n for (var i = 0; i < a.length; i += 1) {\n arr[i] = a[i];\n }\n for (var j = 0; j < b.length; j += 1) {\n arr[j + a.length] = b[j];\n }\n return arr;\n};\nvar slicy = function slicy(arrLike, offset) {\n var arr = [];\n for (var i = offset || 0, j = 0; i < arrLike.length; i += 1, j += 1) {\n arr[j] = arrLike[i];\n }\n return arr;\n};\nvar joiny = function (arr, joiner) {\n var str = '';\n for (var i = 0; i < arr.length; i += 1) {\n str += arr[i];\n if (i + 1 < arr.length) {\n str += joiner;\n }\n }\n return str;\n};\nmodule.exports = function bind(that) {\n var target = this;\n if (typeof target !== 'function' || toStr.apply(target) !== funcType) {\n throw new TypeError(ERROR_MESSAGE + target);\n }\n var args = slicy(arguments, 1);\n var bound;\n var binder = function () {\n if (this instanceof bound) {\n var result = target.apply(this, concatty(args, arguments));\n if (Object(result) === result) {\n return result;\n }\n return this;\n }\n return target.apply(that, concatty(args, arguments));\n };\n var boundLength = max(0, target.length - args.length);\n var boundArgs = [];\n for (var i = 0; i < boundLength; i++) {\n boundArgs[i] = '$' + i;\n }\n bound = Function('binder', 'return function (' + joiny(boundArgs, ',') + '){ return binder.apply(this,arguments); }')(binder);\n if (target.prototype) {\n var Empty = function Empty() {};\n Empty.prototype = target.prototype;\n bound.prototype = new Empty();\n Empty.prototype = null;\n }\n return bound;\n};","var tabbable = require('tabbable');\nvar xtend = require('xtend');\nvar activeFocusTraps = function () {\n var trapQueue = [];\n return {\n activateTrap: function (trap) {\n if (trapQueue.length > 0) {\n var activeTrap = trapQueue[trapQueue.length - 1];\n if (activeTrap !== trap) {\n activeTrap.pause();\n }\n }\n var trapIndex = trapQueue.indexOf(trap);\n if (trapIndex === -1) {\n trapQueue.push(trap);\n } else {\n // move this existing trap to the front of the queue\n trapQueue.splice(trapIndex, 1);\n trapQueue.push(trap);\n }\n },\n deactivateTrap: function (trap) {\n var trapIndex = trapQueue.indexOf(trap);\n if (trapIndex !== -1) {\n trapQueue.splice(trapIndex, 1);\n }\n if (trapQueue.length > 0) {\n trapQueue[trapQueue.length - 1].unpause();\n }\n }\n };\n}();\nfunction focusTrap(element, userOptions) {\n var doc = document;\n var container = typeof element === 'string' ? doc.querySelector(element) : element;\n var config = xtend({\n returnFocusOnDeactivate: true,\n escapeDeactivates: true\n }, userOptions);\n var state = {\n firstTabbableNode: null,\n lastTabbableNode: null,\n nodeFocusedBeforeActivation: null,\n mostRecentlyFocusedNode: null,\n active: false,\n paused: false\n };\n var trap = {\n activate: activate,\n deactivate: deactivate,\n pause: pause,\n unpause: unpause\n };\n return trap;\n function activate(activateOptions) {\n if (state.active) return;\n updateTabbableNodes();\n state.active = true;\n state.paused = false;\n state.nodeFocusedBeforeActivation = doc.activeElement;\n var onActivate = activateOptions && activateOptions.onActivate ? activateOptions.onActivate : config.onActivate;\n if (onActivate) {\n onActivate();\n }\n addListeners();\n return trap;\n }\n function deactivate(deactivateOptions) {\n if (!state.active) return;\n removeListeners();\n state.active = false;\n state.paused = false;\n activeFocusTraps.deactivateTrap(trap);\n var onDeactivate = deactivateOptions && deactivateOptions.onDeactivate !== undefined ? deactivateOptions.onDeactivate : config.onDeactivate;\n if (onDeactivate) {\n onDeactivate();\n }\n var returnFocus = deactivateOptions && deactivateOptions.returnFocus !== undefined ? deactivateOptions.returnFocus : config.returnFocusOnDeactivate;\n if (returnFocus) {\n delay(function () {\n tryFocus(state.nodeFocusedBeforeActivation);\n });\n }\n return trap;\n }\n function pause() {\n if (state.paused || !state.active) return;\n state.paused = true;\n removeListeners();\n }\n function unpause() {\n if (!state.paused || !state.active) return;\n state.paused = false;\n addListeners();\n }\n function addListeners() {\n if (!state.active) return;\n\n // There can be only one listening focus trap at a time\n activeFocusTraps.activateTrap(trap);\n updateTabbableNodes();\n\n // Delay ensures that the focused element doesn't capture the event\n // that caused the focus trap activation.\n delay(function () {\n tryFocus(getInitialFocusNode());\n });\n doc.addEventListener('focusin', checkFocusIn, true);\n doc.addEventListener('mousedown', checkPointerDown, true);\n doc.addEventListener('touchstart', checkPointerDown, true);\n doc.addEventListener('click', checkClick, true);\n doc.addEventListener('keydown', checkKey, true);\n return trap;\n }\n function removeListeners() {\n if (!state.active) return;\n doc.removeEventListener('focusin', checkFocusIn, true);\n doc.removeEventListener('mousedown', checkPointerDown, true);\n doc.removeEventListener('touchstart', checkPointerDown, true);\n doc.removeEventListener('click', checkClick, true);\n doc.removeEventListener('keydown', checkKey, true);\n return trap;\n }\n function getNodeForOption(optionName) {\n var optionValue = config[optionName];\n var node = optionValue;\n if (!optionValue) {\n return null;\n }\n if (typeof optionValue === 'string') {\n node = doc.querySelector(optionValue);\n if (!node) {\n throw new Error('`' + optionName + '` refers to no known node');\n }\n }\n if (typeof optionValue === 'function') {\n node = optionValue();\n if (!node) {\n throw new Error('`' + optionName + '` did not return a node');\n }\n }\n return node;\n }\n function getInitialFocusNode() {\n var node;\n if (getNodeForOption('initialFocus') !== null) {\n node = getNodeForOption('initialFocus');\n } else if (container.contains(doc.activeElement)) {\n node = doc.activeElement;\n } else {\n node = state.firstTabbableNode || getNodeForOption('fallbackFocus');\n }\n if (!node) {\n throw new Error(\"You can't have a focus-trap without at least one focusable element\");\n }\n return node;\n }\n\n // This needs to be done on mousedown and touchstart instead of click\n // so that it precedes the focus event.\n function checkPointerDown(e) {\n if (container.contains(e.target)) return;\n if (config.clickOutsideDeactivates) {\n deactivate({\n returnFocus: !tabbable.isFocusable(e.target)\n });\n } else {\n e.preventDefault();\n }\n }\n\n // In case focus escapes the trap for some strange reason, pull it back in.\n function checkFocusIn(e) {\n // In Firefox when you Tab out of an iframe the Document is briefly focused.\n if (container.contains(e.target) || e.target instanceof Document) {\n return;\n }\n e.stopImmediatePropagation();\n tryFocus(state.mostRecentlyFocusedNode || getInitialFocusNode());\n }\n function checkKey(e) {\n if (config.escapeDeactivates !== false && isEscapeEvent(e)) {\n e.preventDefault();\n deactivate();\n return;\n }\n if (isTabEvent(e)) {\n checkTab(e);\n return;\n }\n }\n\n // Hijack Tab events on the first and last focusable nodes of the trap,\n // in order to prevent focus from escaping. If it escapes for even a\n // moment it can end up scrolling the page and causing confusion so we\n // kind of need to capture the action at the keydown phase.\n function checkTab(e) {\n updateTabbableNodes();\n if (e.shiftKey && e.target === state.firstTabbableNode) {\n e.preventDefault();\n tryFocus(state.lastTabbableNode);\n return;\n }\n if (!e.shiftKey && e.target === state.lastTabbableNode) {\n e.preventDefault();\n tryFocus(state.firstTabbableNode);\n return;\n }\n }\n function checkClick(e) {\n if (config.clickOutsideDeactivates) return;\n if (container.contains(e.target)) return;\n e.preventDefault();\n e.stopImmediatePropagation();\n }\n function updateTabbableNodes() {\n var tabbableNodes = tabbable(container);\n state.firstTabbableNode = tabbableNodes[0] || getInitialFocusNode();\n state.lastTabbableNode = tabbableNodes[tabbableNodes.length - 1] || getInitialFocusNode();\n }\n function tryFocus(node) {\n if (node === doc.activeElement) return;\n if (!node || !node.focus) {\n tryFocus(getInitialFocusNode());\n return;\n }\n node.focus();\n state.mostRecentlyFocusedNode = node;\n if (isSelectableInput(node)) {\n node.select();\n }\n }\n}\nfunction isSelectableInput(node) {\n return node.tagName && node.tagName.toLowerCase() === 'input' && typeof node.select === 'function';\n}\nfunction isEscapeEvent(e) {\n return e.key === 'Escape' || e.key === 'Esc' || e.keyCode === 27;\n}\nfunction isTabEvent(e) {\n return e.key === 'Tab' || e.keyCode === 9;\n}\nfunction delay(fn) {\n return setTimeout(fn, 0);\n}\nmodule.exports = focusTrap;","'use strict';\n\nvar define = require('define-properties');\nvar callBind = require('call-bind');\nvar implementation = require('./implementation');\nvar getPolyfill = require('./polyfill');\nvar shim = require('./shim');\nvar polyfill = callBind(getPolyfill(), Object);\ndefine(polyfill, {\n getPolyfill: getPolyfill,\n implementation: implementation,\n shim: shim\n});\nmodule.exports = polyfill;","export default {\n disabled: false\n};","import React from 'react';\nexport default React.createContext(null);","import _objectWithoutPropertiesLoose from \"@babel/runtime/helpers/esm/objectWithoutPropertiesLoose\";\nimport _inheritsLoose from \"@babel/runtime/helpers/esm/inheritsLoose\";\nimport React from 'react';\nimport ReactDOM from 'react-dom';\nimport config from './config';\nimport { timeoutsShape } from './utils/PropTypes';\nimport TransitionGroupContext from './TransitionGroupContext';\nexport var UNMOUNTED = 'unmounted';\nexport var EXITED = 'exited';\nexport var ENTERING = 'entering';\nexport var ENTERED = 'entered';\nexport var EXITING = 'exiting';\n/**\n * The Transition component lets you describe a transition from one component\n * state to another _over time_ with a simple declarative API. Most commonly\n * it's used to animate the mounting and unmounting of a component, but can also\n * be used to describe in-place transition states as well.\n *\n * ---\n *\n * **Note**: `Transition` is a platform-agnostic base component. If you're using\n * transitions in CSS, you'll probably want to use\n * [`CSSTransition`](https://reactcommunity.org/react-transition-group/css-transition)\n * instead. It inherits all the features of `Transition`, but contains\n * additional features necessary to play nice with CSS transitions (hence the\n * name of the component).\n *\n * ---\n *\n * By default the `Transition` component does not alter the behavior of the\n * component it renders, it only tracks \"enter\" and \"exit\" states for the\n * components. It's up to you to give meaning and effect to those states. For\n * example we can add styles to a component when it enters or exits:\n *\n * ```jsx\n * import { Transition } from 'react-transition-group';\n *\n * const duration = 300;\n *\n * const defaultStyle = {\n * transition: `opacity ${duration}ms ease-in-out`,\n * opacity: 0,\n * }\n *\n * const transitionStyles = {\n * entering: { opacity: 1 },\n * entered: { opacity: 1 },\n * exiting: { opacity: 0 },\n * exited: { opacity: 0 },\n * };\n *\n * const Fade = ({ in: inProp }) => (\n * \n * {state => (\n *
\n * I'm a fade Transition!\n *
\n * )}\n * \n * );\n * ```\n *\n * There are 4 main states a Transition can be in:\n * - `'entering'`\n * - `'entered'`\n * - `'exiting'`\n * - `'exited'`\n *\n * Transition state is toggled via the `in` prop. When `true` the component\n * begins the \"Enter\" stage. During this stage, the component will shift from\n * its current transition state, to `'entering'` for the duration of the\n * transition and then to the `'entered'` stage once it's complete. Let's take\n * the following example (we'll use the\n * [useState](https://reactjs.org/docs/hooks-reference.html#usestate) hook):\n *\n * ```jsx\n * function App() {\n * const [inProp, setInProp] = useState(false);\n * return (\n *
\n )\n\n for (var i = (current_page - 1); i <= (current_page + 1); i++) {\n if (i >= number_of_pages)\n continue\n if (current_page == i) {\n items.push(\n
\n {props.headerText}\n \n \n }\n \n }\n \n \n \n \n \n \n )\n}","import React from \"react\"\nimport { graphql } from \"gatsby\"\nimport LayoutSidebarCourses from \"../components/layout/layout_courses\"\nimport { Row, Col } from \"react-bootstrap\"\n\nexport default function courseTemplate({\n data, // this prop will be injected by the GraphQL query below.\n pageContext\n}) {\n var { slug } = pageContext\n var page_title\n var page_date\n var page_html\n var sidebarData = []\n const totalCount = data.phd_course.totalCount\n if (totalCount > 0) {\n for (var i = 0; i < totalCount; i++) {\n var title = data.phd_course.phd_courses[i].phd_course_entry.frontmatter.title\n var link = data.phd_course.phd_courses[i].phd_course_entry.fields.slug\n sidebarData.push({\n \"title\": title,\n \"link\": link,\n })\n\n if (link == slug) {\n page_title = title\n page_html = data.phd_course.phd_courses[i].phd_course_entry.html\n page_date = data.phd_course.phd_courses[i].phd_course_entry.frontmatter.date\n }\n }\n return (\n \n \n
\n \n \n \n \n )\n}\n\nexport const pageQuery = graphql`\n query ($slug: String!) {\n markdownRemark(fields: {slug: {eq: $slug}}) {\n html\n frontmatter {\n presented_by\n title\n date(formatString: \"MMMM DD, YYYY\")\n bannerImage {\n publicURL\n }\n }\n fields {\n slug\n }\n }\n }\n`"],"sourceRoot":""}
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diff --git a/component---src-templates-markdown-template-js-e1e62251c1a130dcf22f.js b/component---src-templates-markdown-template-js-e1e62251c1a130dcf22f.js
new file mode 100644
index 0000000000..74e944d9a2
--- /dev/null
+++ b/component---src-templates-markdown-template-js-e1e62251c1a130dcf22f.js
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new file mode 100644
index 0000000000..bf1f5d159d
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+++ b/component---src-templates-markdown-template-js-e1e62251c1a130dcf22f.js.map
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\n {props.children}\n \n {props.showTOC &&\n
\n {props.headerText}\n \n \n }\n \n \n \n \n \n \n \n )\n}","import React from \"react\"\nimport { graphql } from \"gatsby\"\nimport Layout from \"../components/layout/layout\"\n\nexport default function StaffTemplate({\n data, // this prop will be injected by the GraphQL query below.\n}) {\n const { markdownRemark } = data // data.markdownRemark holds your post data\n const { frontmatter, html } = markdownRemark\n return (\n \n
\n
\n
{frontmatter.title}
\n
{frontmatter.date}
\n \n
\n
\n \n )\n}\n\nexport const pageQuery = graphql`\n query ($slug: String!) {\n markdownRemark(fields: {slug: {eq: $slug}}) {\n html\n frontmatter {\n title\n date\n }\n fields {\n slug\n }\n }\n }\n`"],"sourceRoot":""}
\ No newline at end of file
diff --git a/component---src-templates-news-template-js-8a86d4c69892206cfd8c.js b/component---src-templates-news-template-js-8a86d4c69892206cfd8c.js
new file mode 100644
index 0000000000..c279ce2813
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diff --git a/component---src-templates-news-template-js-8a86d4c69892206cfd8c.js.map b/component---src-templates-news-template-js-8a86d4c69892206cfd8c.js.map
new file mode 100644
index 0000000000..a82ab58002
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\n }\n \n \n \n \n \n \n )\n}"],"sourceRoot":""}
\ No newline at end of file
diff --git a/component---src-templates-seminar-template-js-c34b3cf4241c3f2a19d2.js b/component---src-templates-seminar-template-js-c34b3cf4241c3f2a19d2.js
new file mode 100644
index 0000000000..c1c03c63a7
--- /dev/null
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diff --git a/component---src-templates-workshop-template-js-ca1d0522236cd1265c0b.js b/component---src-templates-workshop-template-js-ca1d0522236cd1265c0b.js
new file mode 100644
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diff --git a/css/bootstrap.min.css b/css/bootstrap.min.css
new file mode 100644
index 0000000000..7d2a868f57
--- /dev/null
+++ b/css/bootstrap.min.css
@@ -0,0 +1,7 @@
+/*!
+ * Bootstrap v4.5.0 (https://getbootstrap.com/)
+ * Copyright 2011-2020 The Bootstrap Authors
+ * Copyright 2011-2020 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ */:root{--blue:#007bff;--indigo:#6610f2;--purple:#6f42c1;--pink:#e83e8c;--red:#dc3545;--orange:#fd7e14;--yellow:#ffc107;--green:#28a745;--teal:#20c997;--cyan:#17a2b8;--white:#fff;--gray:#6c757d;--gray-dark:#343a40;--primary:#007bff;--secondary:#6c757d;--success:#28a745;--info:#17a2b8;--warning:#ffc107;--danger:#dc3545;--light:#f8f9fa;--dark:#343a40;--breakpoint-xs:0;--breakpoint-sm:576px;--breakpoint-md:768px;--breakpoint-lg:992px;--breakpoint-xl:1200px;--font-family-sans-serif:-apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,"Helvetica Neue",Arial,"Noto Sans",sans-serif,"Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol","Noto Color Emoji";--font-family-monospace:SFMono-Regular,Menlo,Monaco,Consolas,"Liberation Mono","Courier 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#dee2e6!important}.table-dark{color:inherit}.table-dark tbody+tbody,.table-dark td,.table-dark th,.table-dark thead th{border-color:#dee2e6}.table .thead-dark th{color:inherit;border-color:#dee2e6}}
+/*# sourceMappingURL=bootstrap.min.css.map */
\ No newline at end of file
diff --git a/css/menu.css b/css/menu.css
new file mode 100644
index 0000000000..492684b3e4
--- /dev/null
+++ b/css/menu.css
@@ -0,0 +1,54 @@
+.menu-area{background: #d61a5e}
+.dropdown-menu{padding:0;margin:0;border:0 solid transition!important;border:0 solid rgba(0,0,0,.15);border-radius:0;-webkit-box-shadow:none!important;box-shadow:none!important}
+.mainmenu a, .navbar-default .navbar-nav > li > a, .mainmenu ul li a , .navbar-expand-lg .navbar-nav .nav-link{font-size:16px;text-transform:capitalize;padding:16px 15px;font-family:'Roboto',sans-serif;display: block !important;}
+/* .mainmenu .active a,.mainmenu .active a:focus,.mainmenu .active a:hover,.mainmenu li a:hover,.mainmenu li a:focus ,.navbar-default .navbar-nav>.show>a, .navbar-default .navbar-nav>.show>a:focus, .navbar-default .navbar-nav>.show>a:hover{color: #fff;background: #4CAF50;outline: 0;} */
+/*==========Sub Menu=v==========*/
+/* .mainmenu .collapse ul > li:hover > a{background: #4CAF50;} */
+/* .mainmenu .collapse ul ul > li:hover > a, .navbar-default .navbar-nav .show .dropdown-menu > li > a:focus, .navbar-default .navbar-nav .show .dropdown-menu > li > a:hover{background: #4CAF50;} */
+/* .mainmenu .collapse ul ul ul > li:hover > a{background: #4CAF50;} */
+
+ul.dropdown-menu{
+ background:#f7f7f7;
+ border: 1px black solid;
+}
+
+/* .mainmenu .collapse ul ul, .mainmenu .collapse ul ul.dropdown-menu{
+ background:#f7f7f7;
+ border: 1px black solid;
+}
+.mainmenu .collapse ul ul ul, .mainmenu .collapse ul ul ul.dropdown-menu{
+ background:#1E88E5
+ border: 1px black solid;
+}
+.mainmenu .collapse ul ul ul ul, .mainmenu .collapse ul ul ul ul.dropdown-menu{
+ background:#64B5F6
+ border: 1px black solid;
+} */
+
+/******************************Drop-down menu work on hover**********************************/
+.mainmenu{background: none;border: 0 solid;margin: 0;padding: 0;min-height:20px;width: 100%;}
+@media only screen and (min-width: 767px) {
+.mainmenu .collapse ul li:hover> ul{display:block}
+.mainmenu .collapse ul ul{position:absolute;top:100%;left:0;min-width:250px;display:none}
+/*******/
+.mainmenu .collapse ul ul li{position:relative}
+.mainmenu .collapse ul ul li:hover> ul{display:block}
+.mainmenu .collapse ul ul ul{position:absolute;top:0;left:100%;min-width:250px;display:none}
+/*******/
+.mainmenu .collapse ul ul ul li{position:relative}
+.mainmenu .collapse ul ul ul li:hover ul{display:block}
+.mainmenu .collapse ul ul ul ul{position:absolute;top:0;left:-100%;min-width:250px;display:none;z-index:1}
+
+}
+@media only screen and (max-width: 767px) {
+.navbar-nav .show .dropdown-menu .dropdown-menu > li > a{padding:16px 15px 16px 35px}
+.navbar-nav .show .dropdown-menu .dropdown-menu .dropdown-menu > li > a{padding:16px 15px 16px 45px}
+}
+
+#navbarSupportedContent a {
+ color: #808080;
+}
+
+#navbarSupportedContent a:hover {
+ color: black;
+}
\ No newline at end of file
diff --git a/css/style.css b/css/style.css
new file mode 100644
index 0000000000..6eddf66e84
--- /dev/null
+++ b/css/style.css
@@ -0,0 +1,54 @@
+p{
+ font-family: Roboto, Arial, Helvetica, sans-serif;
+}
+
+h1{font-family: Cambria, Cochin, Georgia, Times, 'Times New Roman', serif;
+}
+
+h2{
+ font-family: Cambria, Cochin, Georgia, Times, 'Times New Roman', serif;
+}
+
+h3{
+ font-family: Cambria, Cochin, Georgia, Times, 'Times New Roman', serif;
+}
+
+h4{
+ font-family: Cambria, Cochin, Georgia, Times, 'Times New Roman', serif;
+}
+
+h5{
+ font-family: Cambria, Cochin, Georgia, Times, 'Times New Roman', serif;
+}
+
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+ font-family: Cambria, Cochin, Georgia, Times, 'Times New Roman', serif;
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+ margin-top: 30px;
+ margin-bottom: 30px;
+}
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+
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+ box-shadow: 0px 1px 5px 1px rgb(216, 216, 216)
+}
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+ margin-right: 15px;
+ max-width: 90%;
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+ height: 250px;
+ width: auto;
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+ margin-bottom: 25px;
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new file mode 100644
index 0000000000..2aa71982d4
--- /dev/null
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@@ -0,0 +1,615 @@
+body {
+ padding-top: 15px;
+ padding-bottom: 0px;
+ overflow-x: hidden;
+}
+
+.event-col{
+ display:block!important;
+}
+
+
+/* header */
+
+#gu-header-logo{
+ height: 120px;
+ padding: 0;
+}
+
+#clasp-header-logo{
+ padding-left: 40px;
+}
+
+#log-size{
+ height: 70px;
+}
+/* Custom container */
+
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+ margin: 0 auto;
+ max-width: 1000px;
+}
+
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+ margin: 20px 0
+}
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+
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+
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+ border: 1px solid ;
+ background-color: #e9e7e7;
+ border-color: #c8c8c8;
+ border-radius: 3px ;
+ width: "100%";
+}
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+}
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+ border-color: #c8c8c8;
+}
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+ border-right: 0;
+
+}
+
+body>.main-menu-navbar {
+ font-size: 15px
+}
+
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+ background-color: #dbd9d9 !important;
+}
+
+
+/* Change the docs' brand */
+
+body>.navbar .brand {
+ padding-right: 0;
+ padding-left: 0;
+ margin-left: 20px;
+ float: right;
+ font-weight: bold;
+ color: #000;
+ text-shadow: 0 1px 0 rgba(255, 255, 255, .1), 0 0 30px rgba(255, 255, 255, .125);
+ -webkit-transition: all .2s linear;
+ -moz-transition: all .2s linear;
+ transition: all .2s linear;
+}
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+body>.navbar .brand:hover {
+ text-decoration: none;
+ text-shadow: 0 1px 0 rgba(255, 255, 255, .1), 0 0 30px rgba(255, 255, 255, .4);
+}
+
+
+/* Sidenav for Docs
+ -------------------------------------------------- */
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+@media screen and (max-width: 768px) {
+ .bs-docs-sidenav-hide {
+ display: none !important;
+ }
+}
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+
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+ position: relative;
+ height: 100%;
+ width: 100%;
+}
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+
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+ margin: 30px 0 0;
+ padding: 0;
+ background-color: #fff;
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+}
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+ margin: 30px 0 0;
+ z-index: 1; /* Stay on top */
+ padding: 0;
+ background-color: #fff;
+ -webkit-border-radius: 6px;
+ -moz-border-radius: 6px;
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+}
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+ position: -webkit-sticky;
+ position: sticky;
+ top: 0;
+ padding-top: 20px;
+ }
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+ background-color: #1189D9;
+ color: #fff;
+}
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+ width: 200px;
+ margin: 0 0 -1px;
+ padding: 8px 14px;
+ border: 1px solid #e5e5e5;
+}
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+ display: block;
+ width: 168px;
+ margin: 0 0 -1px;
+ padding: 8px 30px;
+ border: 1px solid #e5e5e5;
+ font-size: 12px;
+}
+
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+ -webkit-border-radius: 6px 6px 0 0;
+ -moz-border-radius: 6px 6px 0 0;
+ border-radius: 6px 6px 0 0;
+}
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+ -webkit-border-radius: 0 0 6px 6px;
+ -moz-border-radius: 0 0 6px 6px;
+ border-radius: 0 0 6px 6px;
+}
+
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+ position: relative;
+ z-index: 2;
+ padding: 9px 15px;
+ border: 0;
+ text-shadow: 0 1px 0 rgba(0, 0, 0, .15);
+ -webkit-box-shadow: inset 1px 0 0 rgba(0, 0, 0, .1), inset -1px 0 0 rgba(0, 0, 0, .1);
+ -moz-box-shadow: inset 1px 0 0 rgba(0, 0, 0, .1), inset -1px 0 0 rgba(0, 0, 0, .1);
+ box-shadow: inset 1px 0 0 rgba(0, 0, 0, .1), inset -1px 0 0 rgba(0, 0, 0, .1);
+}
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+ background-color: #f5f5f5;
+ text-decoration: none;
+}
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+ opacity: .5
+}
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+}
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+ position: absolute;
+ top: auto;
+ bottom: 270px;
+}
+
+
+/* Responsive
+ -------------------------------------------------- */
+
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+ top: 0px
+}
+
+#media {
+ margin-top: 30px
+}
+
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+ margin-left: 0;
+ margin-bottom: 56px;
+ margin-top: 30px;
+}
+
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+ margin-left: 0;
+ margin-bottom: 40px;
+}
+
+#media .lastpost_row {
+ margin-bottom: 0
+}
+
+#media .post_row .post {
+ background: #fff;
+ /*margin-left: 0;;
+ margin-right: 20px;*/
+ border-radius: 4px;
+ box-shadow: 1px 1px 2px 0px #E0E0E0;
+ height: 550px;
+}
+
+#media .post_row .last {
+ margin-right: 0
+}
+
+#media .post_row .post .img {
+ position: relative;
+ text-align: center;
+}
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+#media .post_row .post .img .date {
+ background: #E8554E;
+ position: absolute;
+ padding: 2px 5px;
+ top: 0;
+ left: 11px;
+}
+
+#media .post_row .post .img .date p {
+ color: #fff;
+ font-size: 14px;
+ font-weight: bold;
+ font-style: italic;
+ margin: 0;
+}
+
+#media .post_row .post .img img {
+ width: 90%;
+}
+
+#media .post_row .post .text {
+ margin: 18px auto 0;
+ width: 83%;
+}
+
+#media .post_row .post .text h5 {
+ margin: 0 0 8px 0;
+ font-size: 20px;
+ line-height: 23px;
+}
+
+#media .post_row .post .text h5 a {
+ color: #333
+}
+
+#media .post_row .post .text span.date {
+ color: #9F9F9F;
+ display: block;
+ margin-bottom: 12px;
+ font-style: italic;
+ font-size: 13px;
+}
+
+#media .post_row .post .text p {
+ margin: 0;
+ line-height: 21px;
+ font-size: 14px;
+}
+
+#media .post_row .post .author_box {
+ margin: 12px auto 20px;
+ border-top: 1px solid #EDEDED;
+ overflow: hidden;
+ text-align: left;
+ width: 85%;
+ padding-top: 12px;
+}
+
+#media .post_row .post .author_box h6 {
+ margin: 0 0 3px 0;
+ font-size: 13px;
+ line-height: 15px;
+ font-style: italic;
+ font-weight: normal;
+ color: #B2B2B2;
+}
+
+#media .post_row .post .author_box p {
+ color: #B2B2B2;
+ font-style: italic;
+ font-size: 13px;
+ line-height: 14px;
+ margin: 0;
+}
+
+#media .post_row .post .author_box img {
+ float: right
+}
+
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+ width: 99%;
+ text-align: center;
+ background: #fff;
+ display: none;
+ border-radius: 0px 0px 4px 4px;
+ padding: 6px 0px 2px;
+ margin: 0 auto 1px;
+}
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+ font-size: 30px;
+ font-weight: bold;
+}
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+ display: block
+}
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+}
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+}
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+ position: absolute;
+ margin: 15px auto;
+ box-shadow: 0 0 7px 0 rgba(26, 26, 26, 0.4);
+ padding: 30px 0 30px;
+ background: white;
+ border-radius: 4px;
+ margin-top: 25px;
+}
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+}
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+ border-bottom: 1px solid #ddd;
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+ padding: 45px 0px 35px 0px;
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+ /* background-color: #135e90; */
+ /* background: -moz-linear-gradient(45deg, #ffffff 0%, #fff9f9 100%);
+ background: -webkit-gradient(linear, left bottom, right top, color-stop(0%, #30393C), color-stop(100%, #30393C));
+ background: -webkit-linear-gradient(45deg, #ffffff 0%, #fbfbfb 100%);
+ background: -o-linear-gradient(45deg, #ffffff 0%, #ffffff 100%);
+ background: -ms-linear-gradient(45deg, #ffffff 0%, #ffffff 100%);
+ background: linear-gradient(45deg, #ffffff 0%, #ffffff 100%) repeat;
+ -webkit-box-shadow: inset 0 3px 7px rgba(255, 255, 255, 0.2), inset 0 -3px 7px rgba(255, 255, 255, 0.2);
+ -moz-box-shadow: inset 0 3px 7px rgba(255, 255, 255, 0.2), inset 0 -3px 7px rgba(255, 255, 255, 0.2);
+ box-shadow: inset 0 3px 7px rgba(255, 255, 255, 0.2), inset 0 -3px 7px rgba(0, 0, 0, .2); */
+}
+
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+ content: '';
+ display: block;
+ position: absolute;
+ top: 0;
+ right: 0;
+ bottom: 0;
+ left: 0;
+ opacity: .4;
+}
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+ font-size: 21px;
+ font-weight: 200;
+ line-height: 15px;
+}
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+img.float-left {
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+ margin-top: 9px;
+ margin-left: 0px;
+ margin-right: 30px;
+ margin-bottom: 12px;
+}
+
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+ float: right;
+ margin-top: 9px;
+ margin-right: 0px;
+ margin-bottom: 12px;
+ margin-left: 30px;
+}
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+ width: 142px;
+ height: 188px;
+}
+
+.caption {
+ margin: 10px;
+}
+
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+ position: relative;
+ padding-bottom: 56.25%;
+ padding-top: 60px;
+ overflow: hidden;
+}
+
+.responsive-video iframe,
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+ position: absolute;
+ top: 0;
+ left: 0;
+ width: 93.5%;
+ height: 93.5%;
+}
+
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+ margin: 10px;
+}
+
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+ margin-bottom: 20px;
+ margin-right: 40px;
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+ width: 212px;
+ height: 150px;
+}
+
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+ width: 100%;
+}
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+ margin-bottom: 20px;
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+
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+ text-decoration: none;
+}
+
+iframe.map-frame {
+ border: none;
+ overflow: hidden;
+ margin-top: 10px;
+ margin-bottom: 10px;
+ margin-left: 0px;
+ margin-right: 0px;
+ height: 550px;
+ width: 100%;
+}
+
+ul.sponsors {
+ margin-top: 40px;
+ margin-bottom: 40px;
+}
+
+#footer {
+ z-index: 10;
+ margin-top: 50px;
+ margin-bottom: 0px;
+ padding-bottom: 25px;
+ border-top-width: 8px;
+ border-top-style: solid;
+ border-top-color: #2F2F2F;
+ background-color: #000000;
+ border: 0;
+ font-size: 100%;
+ font: inherit;
+ vertical-align: baseline;
+ text-align: center;
+}
+
+#footer h3, .footer-header-type-style {
+ font-size: 19px;
+ text-transform: uppercase;
+ font-family: BebasNeueRegular;
+ color: #8DBECE;
+ border-bottom-width: 1px;
+ border-bottom-style: solid;
+ border-bottom-color: #30393C;
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+ margin-bottom: 20px;
+ margin-top: 25px;
+ font-weight: normal;
+}
+
+#footer a img {
+ margin-top: 40px;
+}
+
+#footer p,
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+ font-size: 11px;
+}
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+}
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+ margin-bottom: 25px;;
+}
\ No newline at end of file
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De=function(e){var a=e.value,t=e.onChange,n=e.entries,o=e.label,l=e.style,s=(e.barReverse,P(e,["value","onChange","entries","label","style","barReverse"]));return r.a.createElement("div",{"data-test":"datatable-select",className:"mdb-datatable-length bs-select"},r.a.createElement("label",null,o,r.a.createElement("select",E({value:a,onChange:function(e){var a=parseInt(e.target.value,10);t(a)},className:"custom-select custom-select-sm form-control form-control-sm",style:S({marginLeft:".5rem"},l)},s),n.map((function(e){return r.a.createElement("option",{key:e,value:e},e)})))))};De.propTypes={entries:i.a.arrayOf(i.a.number).isRequired,label:i.a.oneOfType([i.a.string,i.a.number,i.a.object]).isRequired,onChange:i.a.func.isRequired,value:i.a.number.isRequired,style:i.a.object};var Me=function(e){var a=e.handleEntriesChange,t=e.displayEntries,n=e.entries,o=e.entriesArr,s=e.paging,i=e.label,c=e.barReverse,d=e.className,p=e.proSelect,b=P(e,["handleEntriesChange","displayEntries","entries","entriesArr","paging","label","barReverse","className","proSelect"]),u=l()("mdb-datatable-entries",d);return r.a.createElement("div",{"data-test":"mdb-datatable-entries",className:u},s&&t&&!p&&r.a.createElement(De,E({value:n,onChange:a,entries:o,label:i,barReverse:c},b)))};Me.propTypes={displayEntries:i.a.bool.isRequired,entries:i.a.number.isRequired,entriesArr:i.a.arrayOf(i.a.number).isRequired,handleEntriesChange:i.a.func.isRequired,label:i.a.oneOfType([i.a.number,i.a.object,i.a.string]).isRequired,paging:i.a.bool.isRequired,barReverse:i.a.bool,proSelect:i.a.bool};var Fe=function(e){var a=e.value,t=e.onChange,n=e.label,o=e.barReverse,s=e.materialSearch;return r.a.createElement("div",{"data-test":"datatable-input",className:l()("mdb-datatable-filter","flex-row",o&&"text-left")},s?r.a.createElement(b.i,{hint:"Search",containerClass:"mt-0",value:a,onChange:t,type:"search",className:"form-control form-control-sm",placeholder:n||"Search"}):r.a.createElement("input",{className:"form-control form-control-sm ml-0 my-1",type:"text",placeholder:n||"Search","aria-label":"Search",value:a,onChange:t}))};Fe.propTypes={barReverse:i.a.bool,label:i.a.string,onChange:i.a.func,value:i.a.oneOfType([i.a.string,i.a.object,i.a.array,i.a.number])};var Be=function(e){var a=e.handleSearchChange,t=e.search,n=e.searching,o=e.label,l=e.barReverse,s=e.wrapperSearchStyle,i=e.wrapperSearchClasses,c=e.materialSearch,d=P(e,["handleSearchChange","search","searching","label","barReverse","wrapperSearchStyle","wrapperSearchClasses","materialSearch"]);return n&&r.a.createElement("div",{"data-test":"datatable-search",style:S({display:"flex",alignItems:"center"},s),className:i},r.a.createElement(Fe,E({value:t,onChange:a,label:o,barReverse:l,materialSearch:c},d)))};Be.propTypes={handleSearchChange:i.a.func.isRequired,search:i.a.string.isRequired,searching:i.a.bool.isRequired,barReverse:i.a.bool,label:i.a.string,materialSearch:i.a.bool};var ze=function(e){var a=e.activePage,t=e.entries,n=e.filteredRows,o=e.info,l=e.label,s=e.noRecordsFoundLabel,i=e.pages,c=l[0],d=l[1],p=l[2],b=l[3],u=n.length>0&&n[0].message===s,m=a>0?a*t+1:a+1,h=i.length-1>a?i[a].length*(a+1):n.length,g=n.length;return r.a.createElement(r.a.Fragment,null,o&&r.a.createElement("div",{"data-test":"datatable-info",className:"mdb-datatable-info d-flex align-items-center"},r.a.createElement("div",{role:"status","aria-live":"polite"},u?"".concat(c," 0 ").concat(b):"".concat(c," ").concat(m," ").concat(d," ").concat(h," ").concat(p," ").concat(g," ").concat(b))))};ze.propTypes={activePage:i.a.number.isRequired,entries:i.a.number.isRequired,filteredRows:i.a.array.isRequired,info:i.a.bool.isRequired,noRecordsFoundLabel:i.a.string.isRequired,pages:i.a.array.isRequired,label:i.a.arrayOf(i.a.string)},ze.defaultProps={label:["Showing","to","of","entries"]};var He=function(e){function a(){var e,t;k(this,a);for(var n=arguments.length,r=new Array(n),o=0;o0;)e.push(a.splice(0,n));t.setState({pGroups:e})})),N(I(t),"choosePagesGroup",(function(){var e=t.props,a=e.activePage,n=e.pagesAmount,r=t.state.pGroups,o=Math.floor(a/n);return r.length?r[o]:[]})),t}return R(a,n.Component),w(a,[{key:"componentDidMount",value:function(){this.groupPages()}},{key:"render",value:function(){var e=this.props,a=e.activePage,t=e.changeActivePage,n=e.pages,o=e.label,l=e.fullPagination,s=e.pagesNumber;return r.a.createElement("div",{"data-test":"datatable-pagination"},r.a.createElement("div",{className:"mdb-dataTables_paginate"},r.a.createElement(Pe,{className:"m-0"},l&&r.a.createElement(Ie,{disabled:a<=0},r.a.createElement(qe,{className:"page-link","aria-label":o[0],onClick:function(){return t(0)}},r.a.createElement("span",null,r.a.createElement("i",{className:"fas fa-angle-double-left"})))),r.a.createElement(Ie,{disabled:a<=0},r.a.createElement(qe,{className:"page-link","aria-label":o[0],onClick:function(){return t(a-1)}},r.a.createElement("span",null,r.a.createElement("i",{className:"fas fa-chevron-left"})))),s&&this.choosePagesGroup().map((function(e){return r.a.createElement(Ie,{key:Object.keys(e[0])[0]+e.index,active:e.index===a},r.a.createElement(qe,{className:"page-link",onClick:function(){return t(e.index)}},e.index+1,e.index===a&&r.a.createElement("span",{className:"sr-only"},"(current)")))})),r.a.createElement(Ie,{disabled:!n.length||a===n.length-1},r.a.createElement(qe,{className:"page-link","aria-label":o[1],onClick:function(){return t(a+1)}},r.a.createElement("span",null,r.a.createElement("i",{className:"fas fa-chevron-right"})))),l&&r.a.createElement(Ie,{disabled:!n.length||a===n.length-1},r.a.createElement(qe,{className:"page-link","aria-label":o[1],onClick:function(){return t(n.length-1)}},r.a.createElement("span",null,r.a.createElement("i",{className:"fas fa-angle-double-right"})))))))}}]),a}();He.propTypes={activePage:i.a.number.isRequired,changeActivePage:i.a.func.isRequired,label:i.a.arrayOf(i.a.string).isRequired,pages:i.a.array.isRequired,pagesAmount:i.a.number.isRequired,fullPagination:i.a.bool,pagesNumber:i.a.bool},Y('div.mdb-datatable div.mdb-datatable-length select,\ndiv.mdb-datatable div.mdb-datatable-length input {\n width: auto; }\n\ndiv.mdb-datatable div.mdb-datatable-length.d-flex.flex-row label {\n margin-top: 1.2rem;\n margin-right: 1rem; }\n\ndiv.mdb-datatable div.mdb-datatable-length.d-flex.flex-row .select-wrapper.mdb-select span,\ndiv.mdb-datatable div.mdb-datatable-length.d-flex.flex-row .select-wrapper.mdb-select .select-dropdown {\n margin-top: 1rem; }\n\ndiv.mdb-datatable div.mdb-datatable-length label, div.mdb-datatable div.mdb-datatable-filter label {\n font-weight: 400;\n text-align: left;\n margin-bottom: 0; }\n\ndiv.mdb-datatable div.mdb-datatable-filter {\n text-align: right; }\n div.mdb-datatable div.mdb-datatable-filter select,\n div.mdb-datatable div.mdb-datatable-filter input {\n width: auto; }\n div.mdb-datatable div.mdb-datatable-filter input {\n display: inline-block;\n margin-left: .5rem; }\n\ndiv.mdb-datatable div.mdb-datatable-info, div.mdb-datatable div.mdb-dataTables_paginate, div.mdb-datatable div.mdb-datatable-entries {\n padding-top: 1rem;\n padding-bottom: 1rem;\n font-weight: 400;\n font-size: .9rem;\n padding-left: .7rem;\n padding-right: .7rem; }\n\ndiv.mdb-datatable div.mdb-datatable-info {\n display: flex;\n justify-content: center; }\n\ndiv.mdb-datatable div.mdb-dataTables_paginate {\n margin: 0;\n text-align: right; }\n div.mdb-datatable div.mdb-dataTables_paginate ul.pagination {\n -ms-flex-pack: end;\n -webkit-justify-content: flex-end;\n justify-content: flex-end;\n -webkit-box-pack: end; }\n div.mdb-datatable div.mdb-dataTables_paginate ul.pagination .page-item.active .page-link {\n background-color: #7e7e7e; }\n div.mdb-datatable div.mdb-dataTables_paginate ul.pagination .page-item.active .page-link:focus {\n background-color: #7e7e7e; }\n div.mdb-datatable div.mdb-dataTables_paginate ul.pagination .page-item .page-link:focus {\n -webkit-box-shadow: none;\n box-shadow: none; }\n\n@media (max-width: 767px) {\n div.mdb-datatable div .mdb-datatable-length,\n div.mdb-datatable div .mdb-datatable-filter,\n div.mdb-datatable div .mdb-datatable-info,\n div.mdb-datatable div .mdb-dataTables_paginate ul.pagination {\n -ms-flex-pack: center;\n -webkit-justify-content: center;\n justify-content: center;\n text-align: center;\n -webkit-box-pack: center; } }\n\n.bs-select select {\n display: inline-block !important; }\n\ntable.mdb-dataTable thead,\ntable thead.mdb-dataTable-head {\n cursor: pointer; }\n table.mdb-dataTable thead th,\n table thead.mdb-dataTable-head th {\n font-weight: 600; }\n table.mdb-dataTable thead > tr > th.sorting_asc, table.mdb-dataTable thead > tr > th.sorting_desc, table.mdb-dataTable thead > tr > th.sorting,\n table.mdb-dataTable thead > tr > td.sorting_asc,\n table.mdb-dataTable thead > tr > td.sorting_desc,\n table.mdb-dataTable thead > tr > td.sorting,\n table thead.mdb-dataTable-head > tr > th.sorting_asc,\n table thead.mdb-dataTable-head > tr > th.sorting_desc,\n table thead.mdb-dataTable-head > tr > th.sorting,\n table thead.mdb-dataTable-head > tr > td.sorting_asc,\n table thead.mdb-dataTable-head > tr > td.sorting_desc,\n table thead.mdb-dataTable-head > tr > td.sorting {\n padding-right: 30px; }\n table.mdb-dataTable thead > tr > th:active,\n table.mdb-dataTable thead > tr > td:active,\n table thead.mdb-dataTable-head > tr > th:active,\n table thead.mdb-dataTable-head > tr > td:active {\n outline: none; }\n table.mdb-dataTable thead .sorting,\n table.mdb-dataTable thead .sorting_asc,\n table.mdb-dataTable thead .sorting_desc,\n table.mdb-dataTable thead .sorting_asc_disabled,\n table.mdb-dataTable thead .sorting_desc_disabled,\n table thead.mdb-dataTable-head .sorting,\n table thead.mdb-dataTable-head .sorting_asc,\n table thead.mdb-dataTable-head .sorting_desc,\n table thead.mdb-dataTable-head .sorting_asc_disabled,\n table thead.mdb-dataTable-head .sorting_desc_disabled {\n position: relative;\n cursor: pointer; }\n table.mdb-dataTable thead .sorting:before, table.mdb-dataTable thead .sorting:after,\n table.mdb-dataTable thead .sorting_asc:before,\n table.mdb-dataTable thead .sorting_asc:after,\n table.mdb-dataTable thead .sorting_desc:before,\n table.mdb-dataTable thead .sorting_desc:after,\n table.mdb-dataTable thead .sorting_asc_disabled:before,\n table.mdb-dataTable thead .sorting_asc_disabled:after,\n table.mdb-dataTable thead .sorting_desc_disabled:before,\n table.mdb-dataTable thead .sorting_desc_disabled:after,\n table thead.mdb-dataTable-head .sorting:before,\n table thead.mdb-dataTable-head .sorting:after,\n table thead.mdb-dataTable-head .sorting_asc:before,\n table thead.mdb-dataTable-head .sorting_asc:after,\n table thead.mdb-dataTable-head .sorting_desc:before,\n table thead.mdb-dataTable-head .sorting_desc:after,\n table thead.mdb-dataTable-head .sorting_asc_disabled:before,\n table thead.mdb-dataTable-head .sorting_asc_disabled:after,\n table thead.mdb-dataTable-head .sorting_desc_disabled:before,\n table thead.mdb-dataTable-head .sorting_desc_disabled:after {\n position: absolute;\n bottom: 1rem;\n display: block;\n opacity: 0; }\n table.mdb-dataTable thead .sorting:hover::before,\n table thead.mdb-dataTable-head .sorting:hover::before {\n opacity: 0.6; }\n table.mdb-dataTable thead .sorting:before,\n table.mdb-dataTable thead .sorting_asc:before,\n table.mdb-dataTable thead .sorting_desc:before,\n table.mdb-dataTable thead .sorting_asc_disabled:before,\n table.mdb-dataTable thead .sorting_desc_disabled:before,\n table thead.mdb-dataTable-head .sorting:before,\n table thead.mdb-dataTable-head .sorting_asc:before,\n table thead.mdb-dataTable-head .sorting_desc:before,\n table thead.mdb-dataTable-head .sorting_asc_disabled:before,\n table thead.mdb-dataTable-head .sorting_desc_disabled:before {\n left: -.4rem;\n font-family: "Font Awesome\\ 5 Free", sans-serif;\n font-size: 1rem;\n font-weight: 900;\n content: "\\f062"; }\n table.mdb-dataTable thead .sorting:after,\n table.mdb-dataTable thead .sorting_asc:after,\n table.mdb-dataTable thead .sorting_desc:after,\n table.mdb-dataTable thead .sorting_asc_disabled:after,\n table.mdb-dataTable thead .sorting_desc_disabled:after,\n table thead.mdb-dataTable-head .sorting:after,\n table thead.mdb-dataTable-head .sorting_asc:after,\n table thead.mdb-dataTable-head .sorting_desc:after,\n table thead.mdb-dataTable-head .sorting_asc_disabled:after,\n table thead.mdb-dataTable-head .sorting_desc_disabled:after {\n left: -.4rem;\n font-family: "Font Awesome\\ 5 Free", sans-serif;\n font-size: 1rem;\n font-weight: 900;\n content: "\\f063"; }\n table.mdb-dataTable thead .sorting_asc:before,\n table.mdb-dataTable thead .sorting_desc:after,\n table thead.mdb-dataTable-head .sorting_asc:before,\n table thead.mdb-dataTable-head .sorting_desc:after {\n opacity: 1; }\n table.mdb-dataTable thead .sorting_asc_disabled:before,\n table.mdb-dataTable thead .sorting_desc_disabled:after,\n table thead.mdb-dataTable-head .sorting_asc_disabled:before,\n table thead.mdb-dataTable-head .sorting_desc_disabled:after {\n opacity: 0; }\n\n.mdb-dataTable_scrollBodyHead .dataTables_scrollHeadInner,\n.mdb-dataTable_scrollBodyHead .dataTables_scrollHeadInner table {\n padding-right: 0 !important;\n margin-right: 0 !important;\n width: 100% !important; }\n\n.mdb-dataTable_scrollBodyHead .dataTables_scrollHeadInner table {\n margin-bottom: 0 !important; }\n\n.dataTables_scrollFoot .dataTables_scrollFootInner,\n.dataTables_scrollFoot .dataTables_scrollFootInner table {\n padding-right: 0 !important;\n margin-right: 0 !important;\n width: 100% !important; }\n\n.mdb-datatable table tr {\n border-bottom: 1px solid #dee2e6; }\n'),Y("table.mdb-dataTable tbody > tr.selected,\ntable.mdb-dataTable tbody > tr > .selected {\n background-color: #f5f5f5; }\n\ntable.mdb-dataTable tbody > tr:not(.selected):hover {\n background-color: rgba(245, 245, 245, 0.4); }\n\ntable.mdb-dataTable.stripe tbody > tr.odd.selected,\ntable.mdb-dataTable.stripe tbody > tr.odd > .selected, table.mdb-dataTable.display tbody > tr.odd.selected,\ntable.mdb-dataTable.display tbody > tr.odd > .selected {\n background-color: #acbad4; }\n\ntable.mdb-dataTable.hover tbody > tr.selected:hover,\ntable.mdb-dataTable.hover tbody > tr > .selected:hover, table.mdb-dataTable.display tbody > tr.selected:hover,\ntable.mdb-dataTable.display tbody > tr > .selected:hover {\n background-color: #aab7d1; }\n\ntable.mdb-dataTable.order-column tbody > tr.selected > .sorting_1,\ntable.mdb-dataTable.order-column tbody > tr.selected > .sorting_2,\ntable.mdb-dataTable.order-column tbody > tr.selected > .sorting_3, table.mdb-dataTable.display tbody > tr.selected > .sorting_1,\ntable.mdb-dataTable.display tbody > tr.selected > .sorting_2,\ntable.mdb-dataTable.display tbody > tr.selected > .sorting_3 {\n background-color: #acbad5; }\n\ntable.mdb-dataTable.order-column tbody > tr > .selected, table.mdb-dataTable.display tbody > tr > .selected {\n background-color: #acbad5; }\n\ntable.mdb-dataTable.display tbody > tr.odd.selected > .sorting_1, table.mdb-dataTable.order-column.stripe tbody > tr.odd.selected > .sorting_1 {\n background-color: #a6b4cd; }\n\ntable.mdb-dataTable.display tbody > tr.odd.selected > .sorting_2,\ntable.mdb-dataTable.order-column.stripe tbody > tr.odd.selected > .sorting_2 {\n background-color: #a8b5cf; }\n\ntable.mdb-dataTable.display tbody > tr.odd.selected > .sorting_3,\ntable.mdb-dataTable.order-column.stripe tbody > tr.odd.selected > .sorting_3 {\n background-color: #a9b7d1; }\n\ntable.mdb-dataTable.display tbody > tr.even.selected > .sorting_1,\ntable.mdb-dataTable.order-column.stripe tbody > tr.even.selected > .sorting_1 {\n background-color: #acbad5; }\n\ntable.mdb-dataTable.display tbody > tr.even.selected > .sorting_2,\ntable.mdb-dataTable.order-column.stripe tbody > tr.even.selected > .sorting_2 {\n background-color: #aebcd6; }\n\ntable.mdb-dataTable.display tbody > tr.even.selected > .sorting_3,\ntable.mdb-dataTable.order-column.stripe tbody > tr.even.selected > .sorting_3 {\n background-color: #afbdd8; }\n\ntable.mdb-dataTable.display tbody > tr.odd > .selected,\ntable.mdb-dataTable.order-column.stripe tbody > tr.odd > .selected {\n background-color: #a6b4cd; }\n\ntable.mdb-dataTable.display tbody > tr.even > .selected,\ntable.mdb-dataTable.order-column.stripe tbody > tr.even > .selected {\n background-color: #acbad5; }\n\ntable.mdb-dataTable.display tbody > tr.selected:hover > .sorting_1,\ntable.mdb-dataTable.order-column.hover tbody > tr.selected:hover > .sorting_1 {\n background-color: #a2aec7; }\n\ntable.mdb-dataTable.display tbody > tr.selected:hover > .sorting_2,\ntable.mdb-dataTable.order-column.hover tbody > tr.selected:hover > .sorting_2 {\n background-color: #a3b0c9; }\n\ntable.mdb-dataTable.display tbody > tr.selected:hover > .sorting_3,\ntable.mdb-dataTable.order-column.hover tbody > tr.selected:hover > .sorting_3 {\n background-color: #a5b2cb; }\n\ntable.mdb-dataTable.display tbody > tr:hover > .selected,\ntable.mdb-dataTable.display tbody > tr > .selected:hover, table.mdb-dataTable.order-column.hover tbody > tr:hover > .selected,\ntable.mdb-dataTable.order-column.hover tbody > tr > .selected:hover {\n background-color: #a2aec7; }\n\ntable.mdb-dataTable tbody td.select-checkbox, table.mdb-dataTable tbody td.select-checkbox-all,\ntable.mdb-dataTable tbody th.select-checkbox,\ntable.mdb-dataTable tbody th.select-checkbox-all,\ntable.mdb-dataTable thead td.select-checkbox,\ntable.mdb-dataTable thead td.select-checkbox-all,\ntable.mdb-dataTable thead th.select-checkbox,\ntable.mdb-dataTable thead th.select-checkbox-all {\n position: relative; }\n table.mdb-dataTable tbody td.select-checkbox:before, table.mdb-dataTable tbody td.select-checkbox:after, table.mdb-dataTable tbody td.select-checkbox-all:before, table.mdb-dataTable tbody td.select-checkbox-all:after,\n table.mdb-dataTable tbody th.select-checkbox:before,\n table.mdb-dataTable tbody th.select-checkbox:after,\n table.mdb-dataTable tbody th.select-checkbox-all:before,\n table.mdb-dataTable tbody th.select-checkbox-all:after,\n table.mdb-dataTable thead td.select-checkbox:before,\n table.mdb-dataTable thead td.select-checkbox:after,\n table.mdb-dataTable thead td.select-checkbox-all:before,\n table.mdb-dataTable thead td.select-checkbox-all:after,\n table.mdb-dataTable thead th.select-checkbox:before,\n table.mdb-dataTable thead th.select-checkbox:after,\n table.mdb-dataTable thead th.select-checkbox-all:before,\n table.mdb-dataTable thead th.select-checkbox-all:after {\n position: absolute;\n top: 50%;\n transform: translate(-50%, -50%);\n left: 50%;\n box-sizing: border-box;\n display: block;\n width: 20px;\n height: 20px; }\n table.mdb-dataTable tbody td.select-checkbox:hover, table.mdb-dataTable tbody td.select-checkbox-all:hover,\n table.mdb-dataTable tbody th.select-checkbox:hover,\n table.mdb-dataTable tbody th.select-checkbox-all:hover,\n table.mdb-dataTable thead td.select-checkbox:hover,\n table.mdb-dataTable thead td.select-checkbox-all:hover,\n table.mdb-dataTable thead th.select-checkbox:hover,\n table.mdb-dataTable thead th.select-checkbox-all:hover {\n cursor: pointer; }\n\ntable.mdb-dataTable tbody td.select-checkbox:before,\ntable.mdb-dataTable tbody th.select-checkbox.select-checkbox-all:before,\ntable.mdb-dataTable thead td.select-checkbox:before,\ntable.mdb-dataTable thead th.select-checkbox.select-checkbox-all:before {\n content: ' ';\n border: 2px solid #5a5a5a;\n border-radius: 3px; }\n\ntable.mdb-dataTable tr.selected td.select-checkbox:after,\ntable.mdb-dataTable tr.selected th.select-checkbox:after {\n margin-top: 0;\n text-align: center;\n font-family: 'Font Awesome\\ 5 Free', sans-serif;\n font-size: 0.9rem;\n font-weight: 600;\n content: '\\f00c';\n background-color: #a6c;\n box-shadow: 0 0 1em #5a5a5a;\n color: #fff; }\n\ndiv.mdb-datatable span.select-info, div.mdb-datatable span.select-item {\n margin-left: 0.5em; }\n\n@media screen and (max-width: 640px) {\n div.mdb-datatable span.select-info, div.mdb-datatable span.select-item {\n display: block;\n 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sa=function(e){var a,t=e.className,n=e.children,o=e.toggle,s=e.tag,i=e.closeAriaLabel,c=e.titleClass,d=P(e,["className","children","toggle","tag","closeAriaLabel","titleClass"]),p=l()("modal-header",t),b=l()("modal-title",c);return o&&(a=r.a.createElement("button",{type:"button",onClick:o,className:"close","aria-label":i},r.a.createElement("span",{"aria-hidden":"true"},String.fromCharCode(215)))),r.a.createElement("div",E({"data-test":"modal-header"},d,{className:p}),r.a.createElement(s,{className:b},n),a)};sa.propTypes={children:i.a.node,className:i.a.string,closeAriaLabel:i.a.string,tag:i.a.oneOfType([i.a.func,i.a.string]),toggle:i.a.func},sa.defaultProps={tag:"h4",closeAriaLabel:"Close"};var ia=function(e){var a=e.children,t=e.className,n=e.tag,o=e.tabs,s=e.color,i=e.classicTabs,c=e.pills,d=e.header,p=P(e,["children","className","tag","tabs","color","classicTabs","pills","header"]),b=l()("nav",o&&"md-tabs",c&&"md-pills",d&&"nav-pills 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e,a,t=this.props,n=t.expand,o=t.light,s=t.dark,i=t.sticky,c=t.fixed,d=t.scrolling,p=t.color,b=t.className,u=t.scrollingNavbarOffset,m=t.tag,h=t.double,g=t.transparent,f=P(t,["expand","light","dark","sticky","fixed","scrolling","color","className","scrollingNavbarOffset","tag","double","transparent"]),v=this.state.isCollapsed,y=l()((N(e={"navbar-light":o,"navbar-dark":s},"sticky-".concat(i),i),N(e,"fixed-".concat(c),c),N(e,"scrolling-navbar",d||u),N(e,"double-nav",h),N(e,"top-nav-collapse",v),N(e,"".concat(p),p&&g?v:p),e),"navbar",!1!==(a=n)&&(!0===a||"xs"===a?"navbar-expand":"navbar-expand-".concat(a)),b);return r.a.createElement(m,E({"data-test":"navbar"},f,{className:y,role:"navigation"}))}}]),a}();ca.propTypes={className:i.a.string,color:i.a.string,dark:i.a.bool,double:i.a.bool,expand:i.a.oneOfType([i.a.bool,i.a.string]),fixed:i.a.string,light:i.a.bool,scrolling:i.a.bool,scrollingNavbarOffset:i.a.number,sticky:i.a.string,tag:i.a.oneOfType([i.a.func,i.a.string]),transparent:i.a.bool},ca.defaultProps={tag:"nav",expand:!1,scrolling:!1};i.a.string,i.a.string;var da=function(e){var a=e.children,t=e.className,n=e.right,o=e.left,s=e.tag,i=P(e,["children","className","right","left","tag"]),c=l()("navbar-nav",n?"ml-auto":o?"mr-auto":"justify-content-around w-100",t);return r.a.createElement(s,E({"data-test":"navbar-nav"},i,{className:c}),a)};da.propTypes={children:i.a.node,className:i.a.string,left:i.a.bool,right:i.a.bool,tag:i.a.oneOfType([i.a.func,i.a.string])},da.defaultProps={tag:"ul"};var pa=function(e){var 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r.a.createElement(s,E({"data-test":"nav-item"},i,{className:c}),a)};ba.propTypes={active:i.a.bool,children:i.a.node,className:i.a.string,tag:i.a.oneOfType([i.a.func,i.a.string])},ba.defaultProps={tag:"li"};var ua=function(e){var a=_(Object(n.useState)({}),2),t=a[0],o=a[1],s=e.children,i=e.className,c=e.disabled,d=e.active,p=e.to,b=e.link,u=P(e,["children","className","disabled","active","to","link"]),m=l()("nav-link",c?"disabled":"Ripple-parent",d&&"active",i),h=function(e){if(!c){e.stopPropagation();var a={top:e.clientY,left:e.clientX,time:Date.now()};o(a)}},f=b?na:g.b;return r.a.createElement(f,E({"data-test":"nav-link",className:m,onMouseUp:h,onTouchStart:h,to:p},u),s,!c&&r.a.createElement(ae,{cursorPos:t}))};ua.propTypes={active:i.a.bool,children:i.a.node,className:i.a.string,disabled:i.a.bool,link:i.a.bool,to:i.a.string},ua.defaultProps={active:!1,className:"",disabled:!1,link:!1};var ma=function(e){function a(){var e,t;k(this,a);for(var n=arguments.length,r=new 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e.createElement(pe, {\n zoom: h,\n hover: c,\n cascade: s\n }, e.createElement(\"div\", {\n className: \"Ripple-parent\",\n onMouseDown: function (e) {\n var t = {\n top: e.clientY,\n left: e.clientX,\n time: Date.now()\n };\n o(t);\n },\n style: {\n touchAction: \"unset\"\n }\n }, y, e.createElement(de, {\n overlay: d\n }), m && e.createElement(ce, {\n cursorPos: n\n }))) : e.createElement(\"div\", null, y);\n};\nbe.propTypes = {\n cascade: s.bool,\n children: s.node,\n className: s.string,\n hover: s.bool,\n overlay: s.string,\n src: s.string,\n tag: s.oneOfType([s.func, s.string]),\n top: s.bool,\n waves: s.bool,\n zoom: s.bool\n}, be.defaultProps = {\n tag: \"img\",\n overlay: \"white-slight\",\n waves: !0,\n hover: !1,\n cascade: !1,\n zoom: !1\n};\nvar ue = function (t) {\n var a = t.children,\n r = t.className,\n n = t.muted,\n o = t.small,\n s = t.tag,\n i = _(t, [\"children\", \"className\", \"muted\", \"small\", \"tag\"]),\n c = l(\"card-text\", n && \"text-muted\", r),\n d = o ? e.createElement(\"small\", null, a) : a;\n return e.createElement(s, P({\n \"data-test\": \"card-text\"\n }, i, {\n className: c\n }), d);\n};\nue.propTypes = {\n className: s.string,\n muted: s.bool,\n small: s.bool,\n tag: s.oneOfType([s.func, s.string])\n}, ue.defaultProps = {\n tag: \"p\"\n};\nvar me = function (t) {\n var a = t.className,\n r = t.sub,\n n = t.tag,\n o = _(t, [\"className\", \"sub\", \"tag\"]),\n s = l(r ? \"card-subtitle\" : \"card-title\", a);\n return e.createElement(n, P({\n \"data-test\": \"card-title\"\n }, o, {\n className: s\n }));\n};\nme.propTypes = {\n className: s.string,\n sub: s.bool,\n tag: s.oneOfType([s.func, s.string])\n}, me.defaultProps = {\n tag: \"h4\",\n sub: !1\n};\nvar he = function (t) {\n var a = t.children,\n r = t.className,\n n = t.src,\n o = _(t, [\"children\", \"className\", \"src\"]),\n s = l(r);\n return e.createElement(d, P({\n \"data-test\": \"card-video\"\n }, o, {\n src: n,\n className: s\n }), a);\n};\nhe.propTypes = {\n src: s.string.isRequired,\n children: s.node,\n className: s.string\n};\nvar ge = function (t) {\n var a,\n r = t.className,\n n = t.direction,\n o = t.iconLeft,\n s = t.iconRight,\n i = t.multiItem,\n c = t.onClick,\n d = t.tag,\n p = t.testimonial;\n \"prev\" === n ? a = \"Previous\" : \"next\" === n && (a = \"Next\");\n var b = l(\"carousel-control-\".concat(n), r),\n u = l(\"carousel-control-\".concat(n, \"-icon\"));\n if (p) {\n var m = \"prev\" === n ? \"left\" : \"right\";\n b = l(\"carousel-control-\".concat(n), m, \"carousel-control\", r), u = l(\"icon-\".concat(n));\n }\n return i && (b = l(\"btn-floating\")), e.createElement(d, {\n \"data-test\": \"carousel-control\",\n className: b,\n \"data-slide\": n,\n onClick: c\n }, o ? e.createElement($, {\n icon: \"chevron-left\"\n }) : s ? e.createElement($, {\n icon: \"chevron-right\"\n }) : e.createElement(\"div\", null, e.createElement(\"span\", {\n className: u,\n \"aria-hidden\": \"true\"\n }), e.createElement(\"span\", {\n className: \"sr-only\"\n }, a)));\n};\nge.propTypes = {\n className: s.string,\n direction: s.string,\n iconLeft: s.bool,\n iconRight: s.bool,\n multiItem: s.bool,\n onClick: s.any,\n tag: s.oneOfType([s.func, s.string]),\n testimonial: s.bool\n}, ge.defaultProps = {\n tag: \"a\"\n};\nvar fe = function (t) {\n var a = t.active,\n r = t.alt,\n n = t.children,\n o = t.className,\n s = t.img,\n i = _(t, [\"active\", \"alt\", \"children\", \"className\", \"img\"]),\n c = l(a && \"active\", o);\n return e.createElement(\"li\", P({\n \"data-test\": \"carousel-indicator\"\n }, i, {\n className: c\n }), s && e.createElement(\"img\", {\n src: s,\n alt: r,\n className: \"img-fluid\"\n }), n);\n};\nfe.propTypes = {\n active: s.bool.isRequired,\n alt: s.string,\n children: s.node,\n className: s.string,\n img: s.string\n}, fe.defaultProps = {\n alt: \"Carousel thumbnail\",\n className: \"\",\n img: \"\"\n};\nvar ve = function (t) {\n var a = t.children,\n r = t.className,\n n = _(t, [\"children\", \"className\"]),\n o = l(\"carousel-indicators\", r);\n return e.createElement(\"ol\", P({\n \"data-test\": \"carousel-indicators\"\n }, n, {\n className: o\n }), a);\n};\nve.propTypes = {\n children: s.node,\n className: s.string\n}, ve.defaultProps = {\n className: \"\"\n};\nee(\".carousel-inner {\\r\\n position: relative;\\r\\n overflow: hidden;\\r\\n width: 100%;\\r\\n height: 100%;\\r\\n}\\r\\n\\r\\n.carousel-fade .carousel-item {\\r\\n position: absolute;\\r\\n left: 0;\\r\\n top: 0;\\r\\n width: 100%;\\r\\n height: 100%;\\r\\n display: block !important;\\r\\n opacity: 0;\\r\\n z-index: 0;\\r\\n transition: transform 0ms ease-in-out, opacity 0.8s ease-out;\\r\\n}\\r\\n\\r\\n.carousel-fade .carousel-item.active {\\r\\n position: relative;\\r\\n z-index: 1;\\r\\n opacity: 1;\\r\\n}\\r\\n\\r\\n.carousel-multi-item .carousel-item {\\r\\n display: inline-block !important;\\r\\n}\\r\\n\\r\\n.carousel .carousel-slide-item {\\r\\n transition: left 0.5s;\\r\\n}\\r\\n\\r\\n.carousel-control-prev, .carousel-control-next, .carousel-item-prev, .carousel-item-next {\\r\\n z-index: 2;\\r\\n}\\r\\n\");\nvar ye = function (t) {\n function r() {\n var t, a;\n E(this, r);\n for (var n = arguments.length, o = new Array(n), l = 0; l < n; l++) o[l] = arguments[l];\n return O(L(a = W(this, (t = M(r)).call.apply(t, [this].concat(o)))), \"state\", {\n activeItem: a.props.activeItem,\n initialLength: a.props.length,\n srcArray: [],\n swipeAvailable: !0,\n initialX: null,\n initialY: null\n }), O(L(a), \"carouselRef\", e.createRef()), O(L(a), \"clearCycleIntervalHandler\", function () {\n return clearInterval(a.cycleInterval);\n }), O(L(a), \"swipeAvailableHandler\", function () {\n return a.setState({\n swipeAvailable: !0\n });\n }), O(L(a), \"restartInterval\", function () {\n var e = a.props.interval;\n !1 !== e && (a.clearCycleIntervalHandler(), a.cycleInterval = setInterval(a.next, e));\n }), O(L(a), \"next\", function () {\n var e = a.state,\n t = e.activeItem + 1,\n r = t > e.initialLength ? 1 : t;\n a.goToIndex(r);\n }), O(L(a), \"prev\", function () {\n var e = a.state,\n t = e.activeItem,\n r = e.initialLength,\n n = t - 1,\n o = n < 1 ? r : n;\n a.goToIndex(o);\n }), O(L(a), \"goToIndex\", function (e) {\n a.setState(I({}, a.state, {\n activeItem: e\n })), a.restartInterval();\n }), O(L(a), \"startTouch\", function (e) {\n !1 !== a.props.mobileGesture && a.setState({\n initialX: e.touches[0].clientX,\n initialY: e.touches[0].clientY\n });\n }), O(L(a), \"moveTouch\", function (e) {\n a.setState({\n swipeAvailable: !1\n });\n var t = a.state,\n r = t.initialX,\n n = t.initialY;\n if (null !== r && null !== n) {\n var o = r - e.touches[0].clientX,\n l = n - e.touches[0].clientY;\n Math.abs(o) > Math.abs(l) && (o > 0 ? a.next() : a.prev()), a.setState({\n initialX: null,\n initialY: null\n });\n }\n }), a;\n }\n return B(r, a), R(r, [{\n key: \"componentDidMount\",\n value: function () {\n var e = this.props,\n t = e.interval,\n a = e.thumbnails,\n r = e.length;\n if (!1 !== t) {\n if (this.cycleInterval = setInterval(this.next, t), a) {\n var n = this.carouselRef.current.querySelectorAll(\".carousel-item img\"),\n o = Array.prototype.map.call(n, function (e) {\n return e.src;\n });\n this.setState(I({}, this.state, {\n srcArray: o\n }));\n }\n this.setState({\n initialLength: r\n });\n }\n }\n }, {\n key: \"componentDidUpdate\",\n value: function (e, t) {\n var a = this.props.length,\n r = a;\n t.initialLength !== a && this.setState({\n initialLength: r\n });\n }\n }, {\n key: \"componentWillUnmount\",\n value: function () {\n !1 !== this.props.interval && this.clearCycleIntervalHandler();\n }\n }, {\n key: \"getChildContext\",\n value: function () {\n var e = this.state;\n return {\n activeItem: e.activeItem,\n length: e.initialLength,\n slide: this.props.slide\n };\n }\n }, {\n key: \"render\",\n value: function () {\n for (var t = this, a = this.props, r = (a.activeItem, a.children), n = a.className, o = (a.interval, a.mobileGesture, a.multiItem), s = a.onHoverStop, i = a.showControls, c = a.showIndicators, d = (a.slide, a.tag), p = a.testimonial, b = a.thumbnails, u = _(a, [\"activeItem\", \"children\", \"className\", \"interval\", \"mobileGesture\", \"multiItem\", \"onHoverStop\", \"showControls\", \"showIndicators\", \"slide\", \"tag\", \"testimonial\", \"thumbnails\"]), m = this.state, h = m.initialLength, g = m.srcArray, f = m.swipeAvailable, v = l(\"carousel\", o ? \"carousel-multi-item\" : \"carousel-fade\", b ? \"carousel-thumbnails\" : \"\", p ? \"testimonial-carousel\" : \"\", n), y = [], x = function (a) {\n var r = t.state.activeItem;\n y.push(e.createElement(fe, {\n img: b ? g[a - 1] : null,\n key: a,\n active: r === a,\n onClick: function () {\n return t.goToIndex(a);\n }\n }));\n }, T = 1; T <= h; T++) x(T);\n var k = !!o,\n N = !!p;\n return e.createElement(d, P({\n \"data-test\": \"carousel\",\n ref: this.carouselRef\n }, u, {\n className: v,\n \"aria-label\": \"carousel\",\n onTouchStart: this.startTouch,\n onTouchMove: f ? this.moveTouch : null,\n onTouchEnd: this.swipeAvailableHandler,\n onMouseEnter: s ? this.clearCycleIntervalHandler : null,\n onMouseLeave: s ? this.restartInterval : null\n }), i && o && e.createElement(\"div\", {\n className: \"controls-top\"\n }, e.createElement(ge, {\n testimonial: N,\n multiItem: k,\n iconLeft: !0,\n className: \"btn-floating\",\n direction: \"prev\",\n role: \"button\",\n onClick: this.prev\n }), e.createElement(ge, {\n testimonial: N,\n multiItem: k,\n iconRight: !0,\n className: \"btn-floating\",\n direction: \"next\",\n role: \"button\",\n onClick: this.next\n })), r, i && !o && e.createElement(e.Fragment, null, e.createElement(ge, {\n testimonial: N,\n multiItem: k,\n direction: \"prev\",\n role: \"button\",\n onClick: this.prev\n }), e.createElement(ge, {\n testimonial: N,\n multiItem: k,\n direction: \"next\",\n role: \"button\",\n onClick: this.next\n })), c && e.createElement(ve, null, y));\n }\n }]), r;\n}();\nye.propTypes = {\n activeItem: s.number,\n children: s.node,\n className: s.string,\n interval: s.oneOfType([s.number, s.bool]),\n length: s.number,\n mobileGesture: s.bool,\n multiItem: s.bool,\n onHoverStop: s.bool,\n showControls: s.bool,\n showIndicators: s.bool,\n slide: s.bool,\n tag: s.oneOfType([s.func, s.string]),\n testimonial: s.bool,\n thumbnails: s.bool\n}, ye.defaultProps = {\n interval: 6e3,\n mobileGesture: !0,\n onHoverStop: !0,\n showControls: !0,\n showIndicators: !0,\n tag: \"div\"\n}, ye.childContextTypes = {\n activeItem: s.any,\n length: s.any,\n slide: s.any\n};\nvar xe = function (t) {\n var a = t.children,\n r = t.className,\n n = t.tag,\n o = _(t, [\"children\", \"className\", \"tag\"]),\n s = l(\"carousel-caption\", r);\n return e.createElement(n, P({\n \"data-test\": \"carousel-caption\"\n }, o, {\n className: s\n }), a);\n};\nxe.propTypes = {\n active: s.string,\n children: s.node,\n className: s.string,\n tag: s.oneOfType([s.func, s.string])\n}, xe.defaultProps = {\n tag: \"div\"\n};\nvar Te = function (t) {\n var a = t.active,\n r = t.children,\n n = (t.childrenCount, t.className),\n o = t.tag,\n s = _(t, [\"active\", \"children\", \"childrenCount\", \"className\", \"tag\"]),\n i = l(\"carousel-inner\", a ? \"active\" : \"\", n);\n return e.createElement(o, P({\n \"data-test\": \"carousel-inner\"\n }, s, {\n className: i\n }), r);\n};\nTe.propTypes = {\n active: s.bool,\n children: s.node,\n className: s.string,\n tag: s.oneOfType([s.func, s.string])\n}, Te.defaultProps = {\n tag: \"div\"\n};\nvar ke = function (t) {\n function r() {\n var e, t;\n E(this, r);\n for (var a = arguments.length, n = new Array(a), o = 0; o < a; o++) n[o] = arguments[o];\n return O(L(t = W(this, (e = M(r)).call.apply(e, [this].concat(n)))), \"moveForward\", function () {\n t.style = {\n position: \"absolute\",\n left: \"100%\"\n };\n }), O(L(t), \"moveBackwards\", function () {\n t.style = {\n position: \"absolute\",\n left: \"-100%\"\n };\n }), O(L(t), \"makeVisible\", function () {\n t.style = {\n left: \"0\"\n };\n }), t;\n }\n return B(r, a), R(r, [{\n key: \"render\",\n value: function () {\n var t = this.props,\n a = (t.active, t.children),\n r = t.className,\n n = t.itemId,\n o = t.tag,\n s = _(t, [\"active\", \"children\", \"className\", \"itemId\", \"tag\"]),\n i = this.context,\n c = i.slide,\n d = i.activeItem;\n n = parseInt(n, 10);\n var p = l(\"carousel-item\", {\n \"active carousel-slide-item\": c,\n active: !c && n === d\n }, r),\n b = d - n;\n return c ? b < 0 ? this.moveForward() : b > 0 ? this.moveBackwards() : this.makeVisible() : this.makeVisible(), e.createElement(o, P({\n \"data-test\": \"carousel-item\"\n }, s, {\n className: p,\n style: this.style\n }), a);\n }\n }]), r;\n}();\nke.propTypes = {\n active: s.bool,\n children: s.node,\n className: s.string,\n itemId: s.any,\n tag: s.oneOfType([s.func, s.string])\n}, ke.defaultProps = {\n tag: \"div\"\n}, ke.contextTypes = {\n activeItem: s.any,\n length: s.any,\n slide: s.any\n};\nvar Ne = function (t) {\n var a = t.onClick,\n r = t.className,\n n = t.ariaLabel,\n o = _(t, [\"onClick\", \"className\", \"ariaLabel\"]),\n l = r ? [\"close\"].concat(j(r.split(\" \"))) : [\"close\"];\n return e.createElement(\"button\", P({\n \"data-test\": \"close-button\",\n type: \"button\"\n }, o, {\n className: l.join(\" \"),\n onClick: function (e) {\n a && a(e);\n },\n \"aria-label\": n\n }), e.createElement(\"span\", {\n \"aria-hidden\": \"true\"\n }, \"×\"));\n};\nNe.defaultProps = {\n ariaLabel: \"Close\"\n}, Ne.propTypes = {\n ariaLabel: s.string,\n className: s.string,\n onClick: s.func\n};\nvar we = function (t) {\n var a = t.xs,\n r = t.sm,\n n = t.md,\n o = t.lg,\n s = t.xl,\n i = t.top,\n c = t.bottom,\n d = t.middle,\n p = t.size,\n b = t.className,\n u = t.tag,\n m = _(t, [\"xs\", \"sm\", \"md\", \"lg\", \"xl\", \"top\", \"bottom\", \"middle\", \"size\", \"className\", \"tag\"]),\n h = l(p && \"col-\".concat(p), a && \"col-xs-\".concat(a), r && \"col-sm-\".concat(r), n && \"col-md-\".concat(n), o && \"col-lg-\".concat(o), s && \"col-xl-\".concat(s), p || a || r || n || o || s ? \"\" : \"col\", i && \"align-self-start\", d && \"align-self-center\", c && \"align-self-end\", b);\n return e.createElement(u, P({\n \"data-test\": \"col\"\n }, m, {\n className: h\n }));\n};\nwe.propTypes = {\n bottom: s.bool,\n className: s.string,\n lg: s.string,\n md: s.string,\n middle: s.bool,\n size: s.string,\n sm: s.string,\n tag: s.oneOfType([s.func, s.string]),\n top: s.bool,\n xl: s.string,\n xs: s.string\n}, we.defaultProps = {\n tag: \"div\",\n xs: null,\n sm: null,\n md: null,\n lg: null,\n xl: null\n};\nvar Ce = {\n show: 350,\n hide: 350\n },\n Ee = function (t) {\n function r() {\n var e, t;\n E(this, r);\n for (var a = arguments.length, n = new Array(a), o = 0; o < a; o++) n[o] = arguments[o];\n return O(L(t = W(this, (e = M(r)).call.apply(e, [this].concat(n)))), \"state\", {\n id: t.props.id,\n collapse: \"HIDDEN\",\n height: null\n }), O(L(t), \"element\", null), O(L(t), \"setTransitionTag\", function (e, a, r) {\n t.transitionTag = setTimeout(function () {\n t.setState({\n collapse: e,\n height: null\n }, a());\n }, t.getDelay(r));\n }), O(L(t), \"openCollapse\", function () {\n var e = t.props.onOpened;\n t.setState({\n collapse: \"SHOW\"\n }, function () {\n t.setState({\n height: t.getHeight()\n }), t.setTransitionTag(\"SHOWN\", e, \"show\");\n });\n }), O(L(t), \"closeCollapse\", function () {\n var e = t.props.onClosed;\n t.setState({\n height: t.getHeight()\n }, function () {\n t.setState({\n collapse: \"HIDE\",\n height: t.getHeight()\n }, function () {\n t.setState({\n height: 0\n });\n });\n }), t.setTransitionTag(\"HIDDEN\", e, \"hide\");\n }), t;\n }\n return B(r, a), R(r, [{\n key: \"componentDidMount\",\n value: function () {\n var e = this.props.isOpen,\n t = this.state,\n a = t.collapse;\n e !== t.id && !0 !== e || \"HIDDEN\" !== a || this.openCollapse();\n }\n }, {\n key: \"componentDidUpdate\",\n value: function (e, t) {\n var a = this.props.isOpen,\n r = this.state.collapse,\n n = \"boolean\" != typeof a ? a === t.id : a;\n n && \"HIDDEN\" === r ? this.openCollapse() : n || \"SHOWN\" !== t.collapse || this.closeCollapse();\n }\n }, {\n key: \"componentWillUnmount\",\n value: function () {\n clearTimeout(this.transitionTag);\n }\n }, {\n key: \"getDelay\",\n value: function (e) {\n var t = this.props.delay;\n return \"object\" === C(t) ? isNaN(t[e]) ? Ce[e] : t[e] : t;\n }\n }, {\n key: \"getHeight\",\n value: function () {\n return this.element.scrollHeight;\n }\n }, {\n key: \"render\",\n value: function () {\n var t,\n a = this,\n r = this.props,\n n = r.navbar,\n o = r.children,\n s = r.className,\n i = (r.isOpen, r.delay, r.onOpened, r.onClosed, _(r, [\"navbar\", \"children\", \"className\", \"isOpen\", \"delay\", \"onOpened\", \"onClosed\"])),\n c = this.state,\n d = c.collapse,\n p = c.height;\n switch (d) {\n case \"SHOW\":\n t = \"collapsing\";\n break;\n case \"SHOWN\":\n t = \"collapse show\";\n break;\n case \"HIDE\":\n t = \"collapsing\";\n break;\n case \"HIDDEN\":\n t = \"collapse\";\n break;\n default:\n t = \"collapse\";\n }\n var b = l(t, !!n && \"navbar-collapse\", s),\n u = null === p ? null : {\n height: p\n };\n return e.createElement(\"div\", P({\n \"data-test\": \"collapse\"\n }, i, {\n style: I({}, i.style, {}, u),\n className: b,\n ref: function (e) {\n a.element = e;\n }\n }), o);\n }\n }]), r;\n }();\nEe.propTypes = {\n children: s.node,\n className: s.node,\n delay: s.oneOfType([s.number, s.shape({\n hide: s.number,\n show: s.number\n })]),\n id: s.string,\n isOpen: s.oneOfType([s.string, s.bool]),\n navbar: s.bool,\n onClosed: s.func,\n onOpened: s.func\n}, Ee.defaultProps = {\n isOpen: \"\",\n delay: Ce,\n onOpened: function () {},\n onClosed: function () {}\n};\nvar Se = function (t) {\n var a = t.className,\n r = t.fluid,\n n = t.size,\n o = t.tag,\n s = _(t, [\"className\", \"fluid\", \"size\", \"tag\"]),\n i = l(r ? \"container-fluid\" : n ? \"container-\".concat(n) : \"container\", a);\n return e.createElement(o, P({\n \"data-test\": \"container\"\n }, s, {\n className: i\n }));\n};\nSe.propTypes = {\n className: s.string,\n fluid: s.bool,\n size: s.oneOf([\"sm\", \"md\", \"lg\", \"xl\"]),\n tag: s.oneOfType([s.func, s.string])\n}, Se.defaultProps = {\n tag: \"div\",\n fluid: !1\n};\nvar Re = function (t) {\n var a = t.color,\n r = t.columns,\n n = t.handleSort,\n o = t.scrollX,\n s = t.scrollY,\n i = t.sortable,\n c = t.sorted,\n d = t.textWhite,\n p = l(a && (\"dark\" !== a && \"light\" !== a ? a : \"thead-\".concat(a)), d && \"text-white\");\n return e.createElement(e.Fragment, null, (s || o) && e.createElement(\"colgroup\", null, r.map(function (t) {\n return e.createElement(\"col\", {\n key: t.field,\n style: {\n width: \"\".concat(t.width, \"px\") || \"auto\",\n minWidth: \"\".concat(t.width, \"px\") || \"auto\"\n }\n });\n })), e.createElement(\"thead\", {\n \"data-test\": \"datatable-head\",\n className: p || void 0\n }, e.createElement(\"tr\", null, r.map(function (t) {\n return e.createElement(\"th\", P({\n onClick: function () {\n return i && n(t.field, t.sort);\n },\n key: t.field,\n className: l(t.hasOwnProperty(\"minimal\") ? 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null : \"colspan\" !== t ? n.message ? 0 === a && e.createElement(\"td\", {\n key: a,\n colSpan: n.colspan\n }, n.message) : \"colspan\" !== r[a + 1] && null !== n[t] && e.createElement(\"td\", {\n key: a\n }, n[t]) || e.createElement(\"td\", {\n key: a\n }) : e.createElement(\"td\", {\n key: a,\n colSpan: n.colspan\n }, n[r[a - 1]]);\n };\n return e.createElement(\"tbody\", P({\n \"data-test\": \"table-body\"\n }, i, {\n className: c || void 0\n }), o && o.map(function (t, a) {\n return e.createElement(\"tr\", {\n onClick: t.hasOwnProperty(\"clickEvent\") ? t.clickEvent : void 0,\n key: a\n }, n ? n.map(function (e, a, r) {\n var n = e.field;\n return d(n, a, r, t);\n }) : Object.keys(t).map(function (e, a, r) {\n return d(e, a, r, t);\n }));\n }), a);\n};\nPe.propTypes = {\n children: s.node,\n color: s.string,\n rows: s.arrayOf(s.object),\n textWhite: s.bool\n}, Pe.defaultProps = {\n textWhite: !1\n};\nvar De = function (t) {\n var a,\n r = t.children,\n n = t.color,\n o = t.columns,\n s = t.textWhite,\n i = _(t, [\"children\", \"color\", \"columns\", \"textWhite\"]),\n c = \"dark\" === n || \"light\" === n,\n d = l((O(a = {\n \"text-white\": s\n }, \"thead-\".concat(n), n && c), O(a, \"\".concat(n), n && !c), a));\n return e.createElement(\"thead\", P({\n \"data-test\": \"table-foot\"\n }, i, {\n className: d || void 0\n }), o && e.createElement(\"tr\", null, o.map(function (t) {\n return e.createElement(\"th\", {\n key: t.field,\n className: t.hasOwnProperty(\"minimal\") ? 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\"\".concat(s.map(function (e) {\n return e.width;\n }).reduce(function (e, t) {\n return e + t;\n }, 0), \"px\") : \"auto\";\n return e.createElement(\"div\", {\n \"data-test\": \"datatable-table-scroll\",\n className: \"col-sm-12\"\n }, e.createElement(\"div\", {\n className: \"dataTables_scroll\"\n }, e.createElement(\"div\", {\n className: \"dataTables_scrollHead\",\n style: {\n overflow: \"hidden\"\n }\n }, e.createElement(\"div\", {\n className: \"dataTables_scrollHeadInner\",\n style: {\n position: \"relative\",\n transform: \"translateX(-\".concat(D, \"px)\"),\n boxSizing: \"content-box\",\n paddingRight: T ? \"15px\" : null,\n minWidth: B\n }\n }, e.createElement(Oe, P({\n autoWidth: a,\n bordered: r,\n borderless: n,\n btn: o,\n dark: i,\n fixed: c,\n hover: b,\n responsive: m,\n responsiveSm: f,\n responsiveMd: g,\n responsiveLg: h,\n responsiveXl: v,\n small: k,\n striped: C,\n className: \"dataTable\"\n }, I), e.createElement(Re, {\n color: R,\n textWhite: O,\n columns: s,\n handleSort: d,\n scrollX: x,\n scrollY: T,\n sortable: N,\n sorted: w\n })))), e.createElement(\"div\", {\n className: \"dataTable_scrollBody\",\n style: {\n overflow: \"auto\"\n },\n onScroll: p\n }, e.createElement(Oe, P({\n style: {\n minWidth: B\n },\n autoWidth: a,\n bordered: r,\n borderless: n,\n btn: o,\n dark: i,\n fixed: c,\n hover: b,\n maxHeight: u,\n responsive: m,\n responsiveSm: f,\n responsiveMd: g,\n responsiveLg: h,\n responsiveXl: v,\n scrollY: T,\n small: k,\n striped: C,\n className: \"dataTable\"\n }, I), e.createElement(\"colgroup\", null, s.map(function (t) {\n return e.createElement(\"col\", {\n key: t.field,\n style: {\n width: \"\".concat(t.width, \"px\") || \"auto\",\n minWidth: \"\".concat(t.width, \"px\") || \"auto\"\n }\n });\n })), e.createElement(Pe, {\n color: E,\n textWhite: S,\n rows: y,\n columns: s\n }), l))));\n};\nBe.propTypes = {\n autoWidth: s.bool.isRequired,\n bordered: s.bool.isRequired,\n borderless: s.bool.isRequired,\n btn: s.bool.isRequired,\n dark: s.bool.isRequired,\n fixed: s.bool.isRequired,\n handleSort: s.func.isRequired,\n handleTableBodyScroll: s.func.isRequired,\n hover: s.bool.isRequired,\n responsive: s.bool.isRequired,\n responsiveLg: s.bool.isRequired,\n responsiveMd: s.bool.isRequired,\n responsiveSm: s.bool.isRequired,\n responsiveXl: s.bool.isRequired,\n small: s.bool.isRequired,\n sortable: s.bool.isRequired,\n sorted: s.bool.isRequired,\n striped: s.bool.isRequired,\n tbodyColor: s.string.isRequired,\n tbodyTextWhite: s.bool.isRequired,\n theadColor: s.string.isRequired,\n theadTextWhite: s.bool.isRequired,\n translateScrollHead: s.number.isRequired,\n children: s.node,\n columns: s.arrayOf(s.object),\n maxHeight: s.string,\n rows: s.arrayOf(s.object),\n scrollX: s.bool,\n scrollY: s.bool\n};\nvar Me = function (t) {\n var a = t.value,\n r = t.onChange,\n n = t.entries,\n o = t.label;\n t.barReverse;\n return e.createElement(\"div\", {\n \"data-test\": \"datatable-select\",\n className: \"dataTables_length bs-select\"\n }, e.createElement(\"label\", null, o, e.createElement(\"select\", {\n value: a,\n onChange: function (e) {\n var t = parseInt(e.target.value, 10);\n r(t);\n },\n className: \"custom-select custom-select-sm form-control form-control-sm\",\n style: {\n marginLeft: \".5rem\"\n }\n }, n.map(function (t) {\n return e.createElement(\"option\", {\n key: t,\n value: t\n }, t);\n }))));\n};\nMe.propTypes = {\n entries: s.arrayOf(s.number).isRequired,\n label: s.oneOfType([s.string, s.number, s.object]).isRequired,\n onChange: s.func.isRequired,\n value: s.number.isRequired\n};\nvar qe = function (t) {\n var a = t.handleEntriesChange,\n r = t.displayEntries,\n n = t.entries,\n o = t.entriesArr,\n l = t.paging,\n s = t.label,\n i = t.barReverse,\n c = t.proSelect,\n d = _(t, [\"handleEntriesChange\", \"displayEntries\", \"entries\", \"entriesArr\", \"paging\", \"label\", \"barReverse\", \"proSelect\"]);\n return e.createElement(\"div\", {\n \"data-test\": \"datatable-entries\",\n className: \"col-sm-12 col-md-6\",\n style: {\n display: \"flex\",\n alignItems: \"center\",\n justifyContent: i && \"flex-end\"\n }\n }, l && r && !c && e.createElement(Me, P({\n value: n,\n onChange: a,\n entries: o,\n label: s,\n barReverse: i\n }, d)));\n};\nqe.propTypes = {\n displayEntries: s.bool.isRequired,\n entries: s.number.isRequired,\n entriesArr: s.arrayOf(s.number).isRequired,\n handleEntriesChange: s.func.isRequired,\n label: s.oneOfType([s.number, s.object, s.string]).isRequired,\n paging: s.bool.isRequired,\n barReverse: s.bool,\n proSelect: s.bool\n};\nvar _e = function (t) {\n var a = t.value,\n r = t.onChange,\n n = t.label,\n o = t.barReverse,\n s = t.materialSearch;\n return e.createElement(\"div\", {\n \"data-test\": \"datatable-input\",\n className: l(\"mdb-datatable-filter\", \"flex-row\", o && \"text-left\")\n }, s ? e.createElement(p, {\n hint: \"Search\",\n containerClass: \"mt-0\",\n value: a,\n onChange: r,\n type: \"search\",\n className: \"form-control form-control-sm\",\n placeholder: n || \"Search\"\n }) : e.createElement(\"input\", {\n className: \"form-control form-control-sm ml-0 my-1\",\n type: \"text\",\n placeholder: n || \"Search\",\n \"aria-label\": \"Search\",\n value: a,\n onChange: r\n }));\n};\n_e.propTypes = {\n barReverse: s.bool,\n label: s.string,\n materialSearch: s.bool,\n onChange: s.func,\n value: s.string\n};\nvar Le = function (t) {\n var a = t.handleSearchChange,\n r = t.search,\n n = t.searching,\n o = t.label,\n s = t.barReverse,\n i = t.wrapperSearchStyle,\n c = t.wrapperSearchClasses,\n d = t.materialSearch,\n p = _(t, [\"handleSearchChange\", \"search\", \"searching\", \"label\", \"barReverse\", \"wrapperSearchStyle\", \"wrapperSearchClasses\", \"materialSearch\"]),\n b = l(\"col-sm-12 col-md-6\", c);\n return n && e.createElement(\"div\", {\n \"data-test\": \"datatable-search\",\n style: I({\n display: \"flex\",\n alignItems: \"center\",\n justifyContent: s ? \"flex-start\" : \"flex-end\"\n }, i),\n className: b\n }, e.createElement(_e, P({\n value: r,\n onChange: a,\n label: o,\n barReverse: s,\n materialSearch: d\n }, p)));\n};\nLe.propTypes = {\n handleSearchChange: s.func.isRequired,\n search: s.string.isRequired,\n searching: s.bool.isRequired,\n barReverse: s.bool,\n label: s.string,\n materialSearch: s.bool\n};\nvar We = function (t) {\n var a = t.activePage,\n r = t.entries,\n n = t.filteredRows,\n o = t.info,\n l = t.label,\n s = t.noRecordsFoundLabel,\n i = t.pages,\n c = l[0],\n d = l[1],\n p = l[2],\n b = l[3],\n u = n.length > 0 && n[0].message === s,\n m = a > 0 ? a * r + 1 : a + 1,\n h = i.length - 1 > a ? i[a].length * (a + 1) : n.length,\n g = n.length;\n return e.createElement(\"div\", {\n \"data-test\": \"datatable-info\",\n className: \"col-sm-12 col-md-5\"\n }, o && e.createElement(\"div\", {\n className: \"dataTables_info\",\n role: \"status\",\n \"aria-live\": \"polite\"\n }, u ? \"\".concat(c, \" 0 \").concat(b) : \"\".concat(c, \" \").concat(m, \" \").concat(d, \" \").concat(h, \" \").concat(p, \" \").concat(g, \" \").concat(b)));\n};\nWe.propTypes = {\n activePage: s.number.isRequired,\n entries: s.number.isRequired,\n filteredRows: s.array.isRequired,\n info: s.bool.isRequired,\n noRecordsFoundLabel: s.string.isRequired,\n pages: s.array.isRequired,\n label: s.arrayOf(s.string)\n}, We.defaultProps = {\n label: [\"Showing\", \"to\", \"of\", \"entries\"]\n};\nvar Ae = function (t) {\n var a,\n r = t.children,\n n = t.circle,\n o = t.className,\n s = t.color,\n i = t.tag,\n c = t.size,\n d = _(t, [\"children\", \"circle\", \"className\", \"color\", \"tag\", \"size\"]),\n p = l((O(a = {\n \"pagination-circle\": n\n }, \"pg-\".concat(s), s), O(a, \"pagination-\".concat(c), c), a), \"pagination\", o);\n return e.createElement(i, P({\n \"data-test\": \"pagination\"\n }, d, {\n className: p\n }), r);\n};\nAe.propTypes = {\n children: s.node,\n circle: s.bool,\n className: s.string,\n color: s.string,\n size: s.oneOf([\"lg\", \"sm\"]),\n tag: s.oneOfType([s.func, s.string])\n}, Ae.defaultProps = {\n circle: !1,\n className: \"\",\n color: \"\",\n tag: \"ul\"\n};\nvar je = function (t) {\n var a = t.active,\n r = t.className,\n n = t.children,\n o = t.disabled,\n s = t.tag,\n i = _(t, [\"active\", \"className\", \"children\", \"disabled\", \"tag\"]),\n c = l({\n disabled: o,\n active: a\n }, \"page-item\", r);\n return e.createElement(s, P({\n \"data-test\": \"page-item\"\n }, i, {\n className: c\n }), n);\n};\nje.propTypes = {\n active: s.bool,\n children: s.node,\n className: s.string,\n disabled: s.bool,\n tag: s.oneOfType([s.func, s.string])\n}, je.defaultProps = {\n active: !1,\n className: \"\",\n disabled: !1,\n tag: \"li\"\n};\nvar Fe = function (t) {\n var a = t.children,\n r = t.className,\n n = t.tag,\n o = _(t, [\"children\", \"className\", \"tag\"]),\n s = l(\"page-link\", r);\n return e.createElement(n, P({\n \"data-test\": \"page-link\"\n }, o, {\n className: s\n }), a);\n};\nFe.propTypes = {\n children: s.node,\n className: s.string,\n tag: s.oneOfType([s.func, s.string])\n}, Fe.defaultProps = {\n tag: \"a\"\n};\nvar He = function (t) {\n function r() {\n var e, t;\n E(this, r);\n for (var a = arguments.length, n = new Array(a), o = 0; o < a; o++) n[o] = arguments[o];\n return O(L(t = W(this, (e = M(r)).call.apply(e, [this].concat(n)))), \"state\", {\n pages: t.props.pages,\n pGroups: []\n }), O(L(t), \"componentDidUpdate\", function (e) {\n var a = t.props.pages;\n e.pages !== a && t.setState({\n pages: a\n }, function () {\n return t.groupPages();\n });\n }), O(L(t), \"pagesIndexify\", function () {\n var e = j(t.state.pages);\n return e.forEach(function (e, t) {\n return e.index = t;\n }), e;\n }), O(L(t), \"groupPages\", function () {\n for (var e = [], a = t.pagesIndexify(), r = t.props.pagesAmount; a.length > 0;) e.push(a.splice(0, r));\n t.setState({\n pGroups: e\n });\n }), O(L(t), \"choosePagesGroup\", function () {\n var e = t.props,\n a = e.activePage,\n r = e.pagesAmount,\n n = t.state.pGroups,\n o = Math.floor(a / r);\n return n.length ? n[o] : [];\n }), t;\n }\n return B(r, a), R(r, [{\n key: \"componentDidMount\",\n value: function () {\n this.groupPages();\n }\n }, {\n key: \"render\",\n value: function () {\n var t = this.props,\n a = t.activePage,\n r = t.changeActivePage,\n n = t.pages,\n o = t.label;\n return e.createElement(\"div\", {\n \"data-test\": \"datatable-pagination\",\n className: \"col-sm-12 col-md-7\"\n }, e.createElement(\"div\", {\n className: \"dataTables_paginate\"\n }, e.createElement(Ae, null, e.createElement(je, {\n disabled: a <= 0\n }, e.createElement(Fe, {\n className: \"page-link\",\n \"aria-label\": o[0],\n onClick: function () {\n return r(a - 1);\n }\n }, e.createElement(\"span\", null, o[0]))), this.choosePagesGroup().map(function (t) {\n return e.createElement(je, {\n key: Object.keys(t[0])[0] + t.index,\n active: t.index === a\n }, e.createElement(Fe, {\n className: \"page-link\",\n onClick: function () {\n return r(t.index);\n }\n }, t.index + 1, t.index === a && e.createElement(\"span\", {\n className: \"sr-only\"\n }, \"(current)\")));\n }), e.createElement(je, {\n disabled: !n.length || a === n.length - 1\n }, e.createElement(Fe, {\n className: \"page-link\",\n \"aria-label\": o[1],\n onClick: function () {\n return r(a + 1);\n }\n }, e.createElement(\"span\", null, o[1]))))));\n }\n }]), r;\n}();\nHe.propTypes = {\n activePage: s.number.isRequired,\n changeActivePage: s.func.isRequired,\n label: s.arrayOf(s.string).isRequired,\n pages: s.array.isRequired,\n pagesAmount: s.number.isRequired\n};\nvar ze = function (t) {\n function r() {\n var e, t;\n E(this, r);\n for (var a = arguments.length, n = new Array(a), o = 0; o < a; o++) n[o] = arguments[o];\n return O(L(t = W(this, (e = M(r)).call.apply(e, [this].concat(n)))), \"state\", {\n activePage: 0,\n columns: t.props.data.columns || [],\n entries: t.props.entries,\n filteredRows: t.props.data.rows || [],\n filterOptions: [],\n order: t.props.order || [],\n pages: [],\n rows: t.props.data.rows || [],\n search: \"\",\n searchSelect: \"\",\n sorted: !1,\n translateScrollHead: 0,\n unsearchable: []\n }), O(L(t), \"setData\", function () {\n var e = arguments.length > 0 && void 0 !== arguments[0] ? arguments[0] : [],\n a = arguments.length > 1 && void 0 !== arguments[1] ? arguments[1] : [],\n r = arguments.length > 2 ? arguments[2] : void 0;\n t.setState(function () {\n return {\n columns: a,\n rows: e,\n filteredRows: t.props.disableRetreatAfterSorting ? t.filterRows() : e\n };\n }, r && \"function\" == typeof r && function () {\n return r();\n });\n }), O(L(t), \"setUnsearchable\", function (e) {\n var a = [];\n e.forEach(function (e) {\n void 0 !== e.searchable && !1 === e.searchable && a.push(e.field);\n }), t.setState({\n unsearchable: a\n });\n }), O(L(t), \"fetchData\", function (e, a) {\n fetch(e).then(function (e) {\n return e.json();\n }).then(function (e) {\n return t.setData(e.rows, e.columns, a ? t.paginateRows : null);\n }).catch(function (e) {\n return console.log(e);\n });\n }), O(L(t), \"pagesAmount\", function () {\n return Math.ceil(t.state.filteredRows.length / t.state.entries);\n }), O(L(t), \"paginateRowsInitialy\", function () {\n for (var e = t.state, a = e.rows, r = e.entries, n = e.pages, o = t.pagesAmount(), l = 1; l <= o; l++) {\n var s = l * r;\n n.push(a.slice(s - r, s));\n }\n }), O(L(t), \"handleEntriesChange\", function (e) {\n t.setState({\n entries: Array.isArray(e) ? e[0] : e\n }, function () {\n return t.paginateRows();\n });\n }), O(L(t), \"handleSearchChange\", function (e) {\n t.setState({\n search: e.target.value\n }, function () {\n return t.filterRows();\n }, t.props.onSearch && \"function\" == typeof t.props.onSearch && t.props.onSearch(e.target.value));\n }), O(L(t), \"checkFieldValue\", function (e, t) {\n return e[t] && \"string\" != typeof e[t] ? e[t].props.searchvalue : e[t];\n }), O(L(t), \"checkField\", function (e, a, r, n) {\n var o = [t.checkFieldValue(a, e), t.checkFieldValue(r, e)],\n l = o[0] > o[1] ? -1 : 1;\n return \"asc\" === n && (l *= -1), l;\n }), O(L(t), \"sort\", function (e, a, r, n) {\n e.sort(function (e, o) {\n return a && a.includes(r) ? t.checkField(r, e, o, n) : \"asc\" === n ? e[r] < o[r] ? -1 : 1 : e[r] > o[r] ? -1 : 1;\n });\n }), O(L(t), \"handleSort\", function (e, a) {\n var r = t.props.onSort;\n \"disabled\" !== a && (t.setState(function (r) {\n var n = t.props.sortRows,\n o = r.rows,\n l = r.columns,\n s = \"desc\" === a ? \"desc\" : \"asc\";\n return t.sort(o, n, e, s), l.forEach(function (t) {\n \"disabled\" !== t.sort && (t.sort = t.field === e ? \"desc\" === t.sort ? \"asc\" : \"desc\" : \"\");\n }), {\n rows: o,\n columns: l,\n sorted: !0\n };\n }, function () {\n return t.filterRows();\n }), r && \"function\" == typeof r && r({\n column: e,\n direction: \"desc\" === a ? \"desc\" : \"asc\"\n }));\n }), O(L(t), \"filterRows\", function () {\n var e = arguments.length > 0 && void 0 !== arguments[0] ? arguments[0] : t.state.search,\n a = t.state.unsearchable,\n r = t.props,\n n = r.sortRows,\n o = r.noRecordsFoundLabel;\n t.setState(function (r) {\n var l = r.rows.filter(function (t) {\n for (var r in t) if (!(a.length && a.includes(r) || \"function\" == typeof t[r])) {\n var o = \"\";\n if (n && \"string\" != typeof t[r] ? (l = void 0, l = [], function e(t) {\n return \"object\" === C(t) ? t.props.children && Array.from(t.props.children).map(function (t) {\n return e(t);\n }) : l.push(t);\n }(t[r]), o = l.join(\"\")) : t[r] && (o = t[r].toString()), o.toLowerCase().includes(e.toLowerCase())) return !0;\n }\n var l;\n return !1;\n });\n 0 === l.length && l.push({\n message: o,\n colspan: r.columns.length\n });\n var s = {};\n return t.props.disableRetreatAfterSorting ? s = {\n filteredRows: l,\n activePage: r.activePage = r.activePage < r.pages.length || 0 === r.activePage ? r.activePage : r.pages.length - 1\n } : t.props.disableRetreatAfterSorting || (s = {\n filteredRows: l,\n activePage: 0\n }), s;\n }, function () {\n return t.paginateRows();\n });\n }), O(L(t), \"paginateRows\", function () {\n var e = t.pagesAmount();\n t.setState(function (a) {\n var r = a.pages,\n n = a.entries,\n o = a.filteredRows,\n l = a.activePage,\n s = t.props,\n i = s.paging,\n c = s.disableRetreatAfterSorting;\n if (r = [], i) {\n for (var d = 1; d <= e; d++) {\n var p = d * n;\n r.push(o.slice(p - n, p));\n }\n c || (l = l < r.length || 0 === l ? l : r.length - 1);\n } else r.push(o), l = 0;\n return {\n pages: r,\n filteredRows: o,\n activePage: l\n };\n });\n }), O(L(t), \"changeActivePage\", function (e) {\n var a = t.props.onPageChange;\n t.setState({\n activePage: e\n }), a && \"function\" == typeof a && a({\n activePage: e + 1,\n pagesAmount: t.pagesAmount()\n });\n }), O(L(t), \"handleTableBodyScroll\", function (e) {\n t.setState({\n translateScrollHead: e.target.scrollLeft\n });\n }), t;\n }\n return B(r, a), R(r, [{\n key: \"componentDidMount\",\n value: function () {\n var e = this.props,\n t = e.data,\n a = e.paging,\n r = this.state,\n n = r.order,\n o = r.columns,\n l = r.pages,\n s = r.rows;\n \"string\" == typeof t && this.fetchData(t, this.paginateRows), n.length > 0 ? this.handleSort(n[0], n[1]) : this.handleSort(), this.setUnsearchable(o), a ? this.paginateRowsInitialy() : l.push(s);\n }\n }, {\n key: \"componentDidUpdate\",\n value: function (e, t) {\n var a = this.state.columns,\n r = this.props.data;\n e.data !== r && (\"string\" == typeof r ? this.fetchData(r) : this.setData(r.rows, r.columns, this.paginateRows), this.setUnsearchable(a), this.filterRows());\n }\n }, {\n key: \"render\",\n value: function () {\n var t = this.props,\n a = t.autoWidth,\n r = t.barReverse,\n n = t.bordered,\n o = t.borderless,\n s = t.btn,\n i = (t.children, t.className),\n c = t.dark,\n d = (t.data, t.disableRetreatAfterSorting, t.displayEntries),\n p = t.entriesLabel,\n b = t.entriesOptions,\n u = (t.exportToCSV, t.filter, t.fixed),\n m = t.hover,\n h = t.info,\n g = t.infoLabel,\n f = t.maxHeight,\n v = t.noBottomColumns,\n y = t.noRecordsFoundLabel,\n x = (t.onPageChange, t.onSearch, t.onSort, t.order, t.pagesAmount),\n T = t.paginationLabel,\n k = t.paging,\n N = t.responsive,\n w = t.responsiveLg,\n C = t.responsiveMd,\n E = t.responsiveSm,\n S = t.responsiveXl,\n R = t.scrollX,\n O = t.scrollY,\n D = t.searching,\n I = t.searchLabel,\n B = t.small,\n M = t.sortable,\n q = (t.sortRows, t.striped),\n L = t.tbodyColor,\n W = t.tbodyTextWhite,\n A = t.theadColor,\n j = t.materialSearch,\n F = t.theadTextWhite,\n H = t.proSelect,\n z = _(t, [\"autoWidth\", \"barReverse\", \"bordered\", \"borderless\", \"btn\", \"children\", \"className\", \"dark\", \"data\", \"disableRetreatAfterSorting\", \"displayEntries\", \"entriesLabel\", \"entriesOptions\", \"exportToCSV\", \"filter\", \"fixed\", \"hover\", \"info\", \"infoLabel\", \"maxHeight\", \"noBottomColumns\", \"noRecordsFoundLabel\", \"onPageChange\", \"onSearch\", \"onSort\", \"order\", \"pagesAmount\", \"paginationLabel\", \"paging\", \"responsive\", \"responsiveLg\", \"responsiveMd\", \"responsiveSm\", \"responsiveXl\", \"scrollX\", \"scrollY\", \"searching\", \"searchLabel\", \"small\", \"sortable\", \"sortRows\", \"striped\", \"tbodyColor\", \"tbodyTextWhite\", \"theadColor\", \"materialSearch\", \"theadTextWhite\", \"proSelect\"]),\n V = this.state,\n X = V.columns,\n Y = V.entries,\n U = V.filteredRows,\n G = (V.filterOptions, V.pages),\n J = V.activePage,\n K = V.search,\n Q = V.sorted,\n Z = V.translateScrollHead,\n $ = l(\"dataTables_wrapper dt-bootstrap4\", i);\n return e.createElement(\"div\", {\n \"data-test\": \"datatable\",\n className: $\n }, e.createElement(\"div\", {\n className: \"row\"\n }, r ? e.createElement(e.Fragment, null, e.createElement(Le, {\n handleSearchChange: this.handleSearchChange,\n search: K,\n searching: D,\n label: I,\n barReverse: r,\n materialSearch: j\n }), e.createElement(qe, {\n paging: k,\n displayEntries: d,\n entries: Y,\n handleEntriesChange: this.handleEntriesChange,\n entriesArr: b,\n label: p,\n barReverse: r,\n proSelect: H\n })) : e.createElement(e.Fragment, null, e.createElement(qe, {\n paging: k,\n displayEntries: d,\n entries: Y,\n handleEntriesChange: this.handleEntriesChange,\n entriesArr: b,\n label: p,\n barReverse: r,\n proSelect: H\n }), e.createElement(Le, {\n handleSearchChange: this.handleSearchChange,\n search: K,\n searching: D,\n label: I,\n barReverse: r,\n materialSearch: j\n }))), !O && !R && e.createElement(\"div\", {\n className: \"row\"\n }, e.createElement(Ie, P({\n autoWidth: a,\n bordered: n,\n borderless: o,\n btn: s,\n dark: c,\n fixed: u,\n hover: m,\n noBottomColumns: v,\n noRecordsFoundLabel: y,\n responsive: N,\n responsiveSm: E,\n responsiveMd: C,\n responsiveLg: w,\n responsiveXl: S,\n small: B,\n striped: q,\n theadColor: A,\n theadTextWhite: F,\n columns: X,\n handleSort: this.handleSort,\n sortable: M,\n tbodyColor: L,\n tbodyTextWhite: W,\n rows: G[J],\n sorted: Q\n }, z))), (O || R) && e.createElement(\"div\", {\n className: \"row\"\n }, e.createElement(Be, P({\n autoWidth: a,\n bordered: n,\n borderless: o,\n btn: s,\n dark: c,\n fixed: u,\n handleTableBodyScroll: this.handleTableBodyScroll,\n hover: m,\n maxHeight: f,\n responsive: N,\n responsiveSm: E,\n responsiveMd: C,\n responsiveLg: w,\n responsiveXl: S,\n scrollX: R,\n scrollY: O,\n small: B,\n striped: q,\n theadColor: A,\n theadTextWhite: F,\n columns: X,\n handleSort: this.handleSort,\n sortable: M,\n sorted: Q,\n tbodyColor: L,\n tbodyTextWhite: W,\n rows: G[J],\n translateScrollHead: Z\n }, z))), k && e.createElement(\"div\", {\n className: \"row\"\n }, e.createElement(We, {\n activePage: J,\n entries: Y,\n filteredRows: U,\n info: h,\n pages: G,\n label: g,\n noRecordsFoundLabel: y\n }), e.createElement(He, {\n activePage: J,\n changeActivePage: this.changeActivePage,\n pages: G,\n pagesAmount: x,\n label: T\n })));\n }\n }]), r;\n}();\nze.propTypes = {\n autoWidth: s.bool,\n barReverse: s.bool,\n bordered: s.bool,\n borderless: s.bool,\n btn: s.bool,\n children: s.node,\n className: s.string,\n dark: s.bool,\n data: s.oneOfType([s.object, s.string]),\n disableRetreatAfterSorting: s.bool,\n displayEntries: s.bool,\n entries: s.number,\n entriesLabel: s.oneOfType([s.string, s.number, s.object]),\n entriesOptions: s.arrayOf(s.number),\n exportToCSV: s.bool,\n filter: s.string,\n fixed: s.bool,\n hover: s.bool,\n info: s.bool,\n infoLabel: s.oneOfType([s.array, s.object, s.string]),\n materialSearch: s.bool,\n maxHeight: s.string,\n noBottomColumns: s.bool,\n noRecordsFoundLabel: s.string,\n onPageChange: s.func,\n onSearch: s.func,\n onSort: s.func,\n order: s.arrayOf(s.string),\n pagesAmount: s.number,\n paginationLabel: s.arrayOf(s.string),\n paging: s.bool,\n proSelect: s.bool,\n responsive: s.bool,\n responsiveLg: s.bool,\n responsiveMd: s.bool,\n responsiveSm: s.bool,\n responsiveXl: s.bool,\n scrollX: s.bool,\n scrollY: s.bool,\n searching: s.bool,\n searchLabel: s.string,\n small: s.bool,\n sortable: s.bool,\n sortRows: s.arrayOf(s.string),\n striped: s.bool,\n tbodyColor: s.string,\n tbodyTextWhite: s.bool,\n theadColor: s.string,\n theadTextWhite: s.bool\n}, ze.defaultProps = {\n autoWidth: !1,\n barReverse: !1,\n bordered: !1,\n borderless: !1,\n btn: !1,\n dark: !1,\n data: {\n columns: [],\n rows: []\n },\n disableRetreatAfterSorting: !1,\n displayEntries: !0,\n entries: 10,\n entriesLabel: \"Show entries\",\n entriesOptions: [10, 20, 50, 100],\n exportToCSV: !1,\n fixed: !1,\n hover: !1,\n info: !0,\n infoLabel: [\"Showing\", \"to\", \"of\", \"entries\"],\n noRecordsFoundLabel: \"No matching records found\",\n noBottomColumns: !1,\n order: [],\n pagesAmount: 8,\n paging: !0,\n paginationLabel: [\"Previous\", \"Next\"],\n responsive: !1,\n responsiveSm: !1,\n responsiveMd: !1,\n responsiveLg: !1,\n responsiveXl: !1,\n searching: !0,\n searchLabel: \"Search\",\n scrollX: !1,\n scrollY: !1,\n sortable: !0,\n small: !1,\n striped: !1,\n theadColor: \"\",\n theadTextWhite: !1,\n tbodyColor: \"\",\n tbodyTextWhite: !1,\n proSelect: !1,\n materialSearch: !1\n};\nvar Ve = function (t) {\n var a = t.color,\n r = t.columns,\n n = t.handleSort,\n o = t.scrollX,\n s = t.scrollY,\n i = t.sortable,\n c = t.sorted,\n d = t.textWhite,\n p = l(\"mdb-dataTable-head\", a && (\"dark\" !== a && \"light\" !== a ? a : \"thead-\".concat(a)), d && \"text-white\");\n return e.createElement(e.Fragment, null, (s || o) && e.createElement(\"colgroup\", null, r.map(function (t) {\n return e.createElement(\"col\", {\n key: t.field,\n style: {\n width: \"\".concat(t.width, \"px\") || \"auto\",\n minWidth: \"\".concat(t.width, \"px\") || \"auto\"\n }\n });\n })), e.createElement(\"thead\", {\n \"data-test\": \"datatable-head\",\n className: p || void 0\n }, e.createElement(\"tr\", null, r.map(function (t) {\n return e.createElement(\"th\", P({\n onClick: function () {\n return i && n(t.field, t.sort);\n },\n key: t.field,\n className: l(t.hasOwnProperty(\"minimal\") ? \"th-\".concat(t.minimal) : null, i && \"disabled\" !== t.sort && (c && t.sort ? \"sorting_\".concat(\"asc\" === t.sort ? \"desc\" : \"asc\") : \"sorting\"))\n }, t.attributes), t.label);\n }))));\n};\nVe.propTypes = {\n sorted: s.bool.isRequired,\n color: s.string,\n columns: s.arrayOf(s.object),\n handleSort: s.func,\n scrollX: s.bool,\n scrollY: s.bool,\n sortable: s.bool,\n textWhite: s.bool\n}, Ve.defaultProps = {\n scrollX: !1,\n scrollY: !1,\n sortable: !0,\n textWhite: !1\n};\nvar Xe = function (t) {\n var a = t.autoWidth,\n r = t.bordered,\n n = t.borderless,\n o = t.btn,\n l = t.children,\n s = t.columns,\n i = t.dark,\n c = t.fixed,\n d = t.handleSort,\n p = t.hover,\n b = t.noBottomColumns,\n u = (t.noRecordsFoundLabel, t.responsive),\n m = t.responsiveLg,\n h = t.responsiveMd,\n g = t.responsiveSm,\n f = t.responsiveXl,\n v = t.rows,\n y = t.small,\n x = t.sortable,\n T = t.sorted,\n k = t.striped,\n N = t.tbodyColor,\n w = t.tbodyTextWhite,\n C = t.theadColor,\n E = t.theadTextWhite,\n S = (t.checkbox, _(t, [\"autoWidth\", \"bordered\", \"borderless\", \"btn\", \"children\", \"columns\", \"dark\", \"fixed\", \"handleSort\", \"hover\", \"noBottomColumns\", \"noRecordsFoundLabel\", \"responsive\", \"responsiveLg\", \"responsiveMd\", \"responsiveSm\", \"responsiveXl\", \"rows\", \"small\", \"sortable\", \"sorted\", \"striped\", \"tbodyColor\", \"tbodyTextWhite\", \"theadColor\", \"theadTextWhite\", \"checkbox\"]));\n return e.createElement(\"div\", {\n \"data-test\": \"mdb-datatable-table\",\n className: \"col-sm-12\"\n }, e.createElement(Oe, P({\n autoWidth: a,\n bordered: r,\n borderless: n,\n btn: o,\n dark: i,\n fixed: c,\n hover: p,\n responsive: u,\n responsiveSm: g,\n responsiveMd: h,\n responsiveLg: m,\n responsiveXl: f,\n small: y,\n striped: k,\n className: \"mdb-dataTable\"\n }, S), e.createElement(Ve, {\n color: C,\n textWhite: E,\n columns: s,\n handleSort: d,\n sortable: x,\n sorted: T\n }), e.createElement(Pe, {\n color: N,\n textWhite: w,\n rows: v,\n columns: s\n }), !b && e.createElement(De, {\n color: C,\n textWhite: E,\n columns: s\n }), l));\n};\nXe.propTypes = {\n autoWidth: s.bool.isRequired,\n bordered: s.bool.isRequired,\n borderless: s.bool.isRequired,\n btn: s.bool.isRequired,\n dark: s.bool.isRequired,\n fixed: s.bool.isRequired,\n handleSort: s.func.isRequired,\n hover: s.bool.isRequired,\n responsive: s.bool.isRequired,\n responsiveLg: s.bool.isRequired,\n responsiveMd: s.bool.isRequired,\n responsiveSm: s.bool.isRequired,\n responsiveXl: s.bool.isRequired,\n small: s.bool.isRequired,\n sortable: s.bool.isRequired,\n sorted: s.bool.isRequired,\n striped: s.bool.isRequired,\n tbodyColor: s.string.isRequired,\n tbodyTextWhite: s.bool.isRequired,\n theadColor: s.string.isRequired,\n theadTextWhite: s.bool.isRequired,\n children: s.node,\n columns: s.arrayOf(s.object),\n noBottomColumns: s.bool,\n rows: s.arrayOf(s.object)\n};\nvar Ye = function (t) {\n var a = t.autoWidth,\n r = t.bordered,\n n = t.borderless,\n o = t.btn,\n l = t.children,\n s = t.columns,\n i = t.dark,\n c = t.fixed,\n d = t.handleSort,\n p = t.handleTableBodyScroll,\n b = t.hover,\n u = t.maxHeight,\n m = t.responsive,\n h = t.responsiveLg,\n g = t.responsiveMd,\n f = t.responsiveSm,\n v = t.responsiveXl,\n y = t.rows,\n x = t.scrollX,\n T = t.scrollY,\n k = t.small,\n N = t.sortable,\n w = t.sorted,\n C = t.striped,\n E = t.tbodyColor,\n S = t.tbodyTextWhite,\n R = t.theadColor,\n O = t.theadTextWhite,\n D = t.translateScrollHead,\n I = _(t, [\"autoWidth\", \"bordered\", \"borderless\", \"btn\", \"children\", \"columns\", \"dark\", \"fixed\", \"handleSort\", \"handleTableBodyScroll\", \"hover\", \"maxHeight\", \"responsive\", \"responsiveLg\", \"responsiveMd\", \"responsiveSm\", \"responsiveXl\", \"rows\", \"scrollX\", \"scrollY\", \"small\", \"sortable\", \"sorted\", \"striped\", \"tbodyColor\", \"tbodyTextWhite\", \"theadColor\", \"theadTextWhite\", \"translateScrollHead\"]),\n B = x ? \"\".concat(s.map(function (e) {\n return e.width;\n }).reduce(function (e, t) {\n return e + t;\n }, 0), \"px\") : \"auto\";\n return e.createElement(\"div\", {\n \"data-test\": \"datatable-table-scroll\",\n className: \"col-sm-12\"\n }, e.createElement(\"div\", {\n className: \"dataTables_scroll\"\n }, e.createElement(\"div\", {\n className: \"dataTables_scrollHead\",\n style: {\n overflow: \"hidden\"\n }\n }, e.createElement(\"div\", {\n className: \"dataTables_scrollHeadInner\",\n style: {\n position: \"relative\",\n transform: \"translateX(-\".concat(D, \"px)\"),\n boxSizing: \"content-box\",\n paddingRight: T ? \"15px\" : null,\n minWidth: B\n }\n }, e.createElement(Oe, P({\n autoWidth: a,\n bordered: r,\n borderless: n,\n btn: o,\n dark: i,\n fixed: c,\n hover: b,\n responsive: m,\n responsiveSm: f,\n responsiveMd: g,\n responsiveLg: h,\n responsiveXl: v,\n small: k,\n striped: C,\n className: \"dataTable\"\n }, I), e.createElement(Ve, {\n color: R,\n textWhite: O,\n columns: s,\n handleSort: d,\n scrollX: x,\n scrollY: T,\n sortable: N,\n sorted: w\n })))), e.createElement(\"div\", {\n className: \"mdb-dataTable_scrollBody\",\n style: {\n overflow: \"auto\"\n },\n onScroll: p\n }, e.createElement(Oe, P({\n style: {\n minWidth: B\n },\n autoWidth: a,\n bordered: r,\n borderless: n,\n btn: o,\n dark: i,\n fixed: c,\n hover: b,\n maxHeight: u,\n responsive: m,\n responsiveSm: f,\n responsiveMd: g,\n responsiveLg: h,\n responsiveXl: v,\n scrollY: T,\n small: k,\n striped: C,\n className: \"mdb-dataTable\"\n }, I), e.createElement(\"colgroup\", null, s.map(function (t) {\n return e.createElement(\"col\", {\n key: t.field,\n style: {\n width: \"\".concat(t.width, \"px\") || \"auto\",\n minWidth: \"\".concat(t.width, \"px\") || \"auto\"\n }\n });\n })), e.createElement(Pe, {\n color: E,\n textWhite: S,\n rows: y,\n columns: s\n }), l))));\n};\nYe.propTypes = {\n autoWidth: s.bool.isRequired,\n bordered: s.bool.isRequired,\n borderless: s.bool.isRequired,\n btn: s.bool.isRequired,\n dark: s.bool.isRequired,\n fixed: s.bool.isRequired,\n handleSort: s.func.isRequired,\n handleTableBodyScroll: s.func.isRequired,\n hover: s.bool.isRequired,\n responsive: s.bool.isRequired,\n responsiveLg: s.bool.isRequired,\n responsiveMd: s.bool.isRequired,\n responsiveSm: s.bool.isRequired,\n responsiveXl: s.bool.isRequired,\n small: s.bool.isRequired,\n sortable: s.bool.isRequired,\n sorted: s.bool.isRequired,\n striped: s.bool.isRequired,\n tbodyColor: s.string.isRequired,\n tbodyTextWhite: s.bool.isRequired,\n theadColor: s.string.isRequired,\n theadTextWhite: s.bool.isRequired,\n translateScrollHead: s.number.isRequired,\n children: s.node,\n columns: s.arrayOf(s.object),\n maxHeight: s.string,\n rows: s.arrayOf(s.object),\n scrollX: s.bool,\n scrollY: s.bool\n};\nvar Ue = function (t) {\n var a = t.value,\n r = t.onChange,\n n = t.entries,\n o = t.label,\n l = t.style,\n s = (t.barReverse, _(t, [\"value\", \"onChange\", \"entries\", \"label\", \"style\", \"barReverse\"]));\n return e.createElement(\"div\", {\n \"data-test\": \"datatable-select\",\n className: \"mdb-datatable-length bs-select\"\n }, e.createElement(\"label\", null, o, e.createElement(\"select\", P({\n value: a,\n onChange: function (e) {\n var t = parseInt(e.target.value, 10);\n r(t);\n },\n className: \"custom-select custom-select-sm form-control form-control-sm\",\n style: I({\n marginLeft: \".5rem\"\n }, l)\n }, s), n.map(function (t) {\n return e.createElement(\"option\", {\n key: t,\n value: t\n }, t);\n }))));\n};\nUe.propTypes = {\n entries: s.arrayOf(s.number).isRequired,\n label: s.oneOfType([s.string, s.number, s.object]).isRequired,\n onChange: s.func.isRequired,\n value: s.number.isRequired,\n style: s.object\n};\nvar Ge = function (t) {\n var a = t.handleEntriesChange,\n r = t.displayEntries,\n n = t.entries,\n o = t.entriesArr,\n s = t.paging,\n i = t.label,\n c = t.barReverse,\n d = t.className,\n p = t.proSelect,\n b = _(t, [\"handleEntriesChange\", \"displayEntries\", \"entries\", \"entriesArr\", \"paging\", \"label\", \"barReverse\", \"className\", \"proSelect\"]),\n u = l(\"mdb-datatable-entries\", d);\n return e.createElement(\"div\", {\n \"data-test\": \"mdb-datatable-entries\",\n className: u\n }, s && r && !p && e.createElement(Ue, P({\n value: n,\n onChange: a,\n entries: o,\n label: i,\n barReverse: c\n }, b)));\n};\nGe.propTypes = {\n displayEntries: s.bool.isRequired,\n entries: s.number.isRequired,\n entriesArr: s.arrayOf(s.number).isRequired,\n handleEntriesChange: s.func.isRequired,\n label: s.oneOfType([s.number, s.object, s.string]).isRequired,\n paging: s.bool.isRequired,\n barReverse: s.bool,\n proSelect: s.bool\n};\nvar Je = function (t) {\n var a = t.value,\n r = t.onChange,\n n = t.label,\n o = t.barReverse,\n s = t.materialSearch;\n return e.createElement(\"div\", {\n \"data-test\": \"datatable-input\",\n className: l(\"mdb-datatable-filter\", \"flex-row\", o && \"text-left\")\n }, s ? e.createElement(p, {\n hint: \"Search\",\n containerClass: \"mt-0\",\n value: a,\n onChange: r,\n type: \"search\",\n className: \"form-control form-control-sm\",\n placeholder: n || \"Search\"\n }) : e.createElement(\"input\", {\n className: \"form-control form-control-sm ml-0 my-1\",\n type: \"text\",\n placeholder: n || \"Search\",\n \"aria-label\": \"Search\",\n value: a,\n onChange: r\n }));\n};\nJe.propTypes = {\n barReverse: s.bool,\n label: s.string,\n onChange: s.func,\n value: s.oneOfType([s.string, s.object, s.array, s.number])\n};\nvar Ke = function (t) {\n var a = t.handleSearchChange,\n r = t.search,\n n = t.searching,\n o = t.label,\n l = t.barReverse,\n s = t.wrapperSearchStyle,\n i = t.wrapperSearchClasses,\n c = t.materialSearch,\n d = _(t, [\"handleSearchChange\", \"search\", \"searching\", \"label\", \"barReverse\", \"wrapperSearchStyle\", \"wrapperSearchClasses\", \"materialSearch\"]);\n return n && e.createElement(\"div\", {\n \"data-test\": \"datatable-search\",\n style: I({\n display: \"flex\",\n alignItems: \"center\"\n }, s),\n className: i\n }, e.createElement(Je, P({\n value: r,\n onChange: a,\n label: o,\n barReverse: l,\n materialSearch: c\n }, d)));\n};\nKe.propTypes = {\n handleSearchChange: s.func.isRequired,\n search: s.string.isRequired,\n searching: s.bool.isRequired,\n barReverse: s.bool,\n label: s.string,\n materialSearch: s.bool\n};\nvar Qe = function (t) {\n var a = t.activePage,\n r = t.entries,\n n = t.filteredRows,\n o = t.info,\n l = t.label,\n s = t.noRecordsFoundLabel,\n i = t.pages,\n c = l[0],\n d = l[1],\n p = l[2],\n b = l[3],\n u = n.length > 0 && n[0].message === s,\n m = a > 0 ? a * r + 1 : a + 1,\n h = i.length - 1 > a ? i[a].length * (a + 1) : n.length,\n g = n.length;\n return e.createElement(e.Fragment, null, o && e.createElement(\"div\", {\n \"data-test\": \"datatable-info\",\n className: \"mdb-datatable-info d-flex align-items-center\"\n }, e.createElement(\"div\", {\n role: \"status\",\n \"aria-live\": \"polite\"\n }, u ? \"\".concat(c, \" 0 \").concat(b) : \"\".concat(c, \" \").concat(m, \" \").concat(d, \" \").concat(h, \" \").concat(p, \" \").concat(g, \" \").concat(b))));\n};\nQe.propTypes = {\n activePage: s.number.isRequired,\n entries: s.number.isRequired,\n filteredRows: s.array.isRequired,\n info: s.bool.isRequired,\n noRecordsFoundLabel: s.string.isRequired,\n pages: s.array.isRequired,\n label: s.arrayOf(s.string)\n}, Qe.defaultProps = {\n label: [\"Showing\", \"to\", \"of\", \"entries\"]\n};\nvar Ze = function (t) {\n function r() {\n var e, t;\n E(this, r);\n for (var a = arguments.length, n = new Array(a), o = 0; o < a; o++) n[o] = arguments[o];\n return O(L(t = W(this, (e = M(r)).call.apply(e, [this].concat(n)))), \"state\", {\n pages: t.props.pages,\n pGroups: []\n }), O(L(t), \"componentDidUpdate\", function (e) {\n var a = t.props.pages;\n e.pages !== a && t.setState({\n pages: a\n }, function () {\n return t.groupPages();\n });\n }), O(L(t), \"pagesIndexify\", function () {\n var e = j(t.state.pages);\n return e.forEach(function (e, t) {\n return e.index = t;\n }), e;\n }), O(L(t), \"groupPages\", function () {\n for (var e = [], a = t.pagesIndexify(), r = t.props.pagesAmount; a.length > 0;) e.push(a.splice(0, r));\n t.setState({\n pGroups: e\n });\n }), O(L(t), \"choosePagesGroup\", function () {\n var e = t.props,\n a = e.activePage,\n r = e.pagesAmount,\n n = t.state.pGroups,\n o = Math.floor(a / r);\n return n.length ? n[o] : [];\n }), t;\n }\n return B(r, a), R(r, [{\n key: \"componentDidMount\",\n value: function () {\n this.groupPages();\n }\n }, {\n key: \"render\",\n value: function () {\n var t = this.props,\n a = t.activePage,\n r = t.changeActivePage,\n n = t.pages,\n o = t.label,\n l = t.fullPagination,\n s = t.pagesNumber;\n return e.createElement(\"div\", {\n \"data-test\": \"datatable-pagination\"\n }, e.createElement(\"div\", {\n className: \"mdb-dataTables_paginate\"\n }, e.createElement(Ae, {\n className: \"m-0\"\n }, l && e.createElement(je, {\n disabled: a <= 0\n }, e.createElement(Fe, {\n className: \"page-link\",\n \"aria-label\": o[0],\n onClick: function () {\n return r(0);\n }\n }, e.createElement(\"span\", null, e.createElement(\"i\", {\n className: \"fas fa-angle-double-left\"\n })))), e.createElement(je, {\n disabled: a <= 0\n }, e.createElement(Fe, {\n className: \"page-link\",\n \"aria-label\": o[0],\n onClick: function () {\n return r(a - 1);\n }\n }, e.createElement(\"span\", null, e.createElement(\"i\", {\n className: \"fas fa-chevron-left\"\n })))), s && this.choosePagesGroup().map(function (t) {\n return e.createElement(je, {\n key: Object.keys(t[0])[0] + t.index,\n active: t.index === a\n }, e.createElement(Fe, {\n className: \"page-link\",\n onClick: function () {\n return r(t.index);\n }\n }, t.index + 1, t.index === a && e.createElement(\"span\", {\n className: \"sr-only\"\n }, \"(current)\")));\n }), e.createElement(je, {\n disabled: !n.length || a === n.length - 1\n }, e.createElement(Fe, {\n className: \"page-link\",\n \"aria-label\": o[1],\n onClick: function () {\n return r(a + 1);\n }\n }, e.createElement(\"span\", null, e.createElement(\"i\", {\n className: \"fas fa-chevron-right\"\n })))), l && e.createElement(je, {\n disabled: !n.length || a === n.length - 1\n }, e.createElement(Fe, {\n className: \"page-link\",\n \"aria-label\": o[1],\n onClick: function () {\n return r(n.length - 1);\n }\n }, e.createElement(\"span\", null, e.createElement(\"i\", {\n className: \"fas fa-angle-double-right\"\n })))))));\n }\n }]), r;\n}();\nZe.propTypes = {\n activePage: s.number.isRequired,\n changeActivePage: s.func.isRequired,\n label: s.arrayOf(s.string).isRequired,\n pages: s.array.isRequired,\n pagesAmount: s.number.isRequired,\n fullPagination: s.bool,\n pagesNumber: s.bool\n};\nee('div.mdb-datatable div.mdb-datatable-length select,\\ndiv.mdb-datatable div.mdb-datatable-length input {\\n width: auto; }\\n\\ndiv.mdb-datatable div.mdb-datatable-length.d-flex.flex-row label {\\n margin-top: 1.2rem;\\n margin-right: 1rem; }\\n\\ndiv.mdb-datatable div.mdb-datatable-length.d-flex.flex-row .select-wrapper.mdb-select span,\\ndiv.mdb-datatable div.mdb-datatable-length.d-flex.flex-row .select-wrapper.mdb-select .select-dropdown {\\n margin-top: 1rem; }\\n\\ndiv.mdb-datatable div.mdb-datatable-length label, div.mdb-datatable div.mdb-datatable-filter label {\\n font-weight: 400;\\n text-align: left;\\n margin-bottom: 0; }\\n\\ndiv.mdb-datatable div.mdb-datatable-filter {\\n text-align: right; }\\n div.mdb-datatable div.mdb-datatable-filter select,\\n div.mdb-datatable div.mdb-datatable-filter input {\\n width: auto; }\\n div.mdb-datatable div.mdb-datatable-filter input {\\n display: inline-block;\\n margin-left: .5rem; }\\n\\ndiv.mdb-datatable div.mdb-datatable-info, div.mdb-datatable div.mdb-dataTables_paginate, div.mdb-datatable div.mdb-datatable-entries {\\n padding-top: 1rem;\\n padding-bottom: 1rem;\\n font-weight: 400;\\n font-size: .9rem;\\n padding-left: .7rem;\\n padding-right: .7rem; }\\n\\ndiv.mdb-datatable div.mdb-datatable-info {\\n display: flex;\\n justify-content: center; }\\n\\ndiv.mdb-datatable div.mdb-dataTables_paginate {\\n margin: 0;\\n text-align: right; }\\n div.mdb-datatable div.mdb-dataTables_paginate ul.pagination {\\n -ms-flex-pack: end;\\n -webkit-justify-content: flex-end;\\n justify-content: flex-end;\\n -webkit-box-pack: end; }\\n div.mdb-datatable div.mdb-dataTables_paginate ul.pagination .page-item.active .page-link {\\n background-color: #7e7e7e; }\\n div.mdb-datatable div.mdb-dataTables_paginate ul.pagination .page-item.active .page-link:focus {\\n background-color: #7e7e7e; }\\n div.mdb-datatable div.mdb-dataTables_paginate ul.pagination .page-item .page-link:focus {\\n -webkit-box-shadow: none;\\n box-shadow: none; }\\n\\n@media (max-width: 767px) {\\n div.mdb-datatable div .mdb-datatable-length,\\n div.mdb-datatable div .mdb-datatable-filter,\\n div.mdb-datatable div .mdb-datatable-info,\\n div.mdb-datatable div .mdb-dataTables_paginate ul.pagination {\\n -ms-flex-pack: center;\\n -webkit-justify-content: center;\\n justify-content: center;\\n text-align: center;\\n -webkit-box-pack: center; } }\\n\\n.bs-select select {\\n display: inline-block !important; }\\n\\ntable.mdb-dataTable thead,\\ntable thead.mdb-dataTable-head {\\n cursor: pointer; }\\n table.mdb-dataTable thead th,\\n table thead.mdb-dataTable-head th {\\n font-weight: 600; }\\n table.mdb-dataTable thead > tr > th.sorting_asc, table.mdb-dataTable thead > tr > th.sorting_desc, table.mdb-dataTable thead > tr > th.sorting,\\n table.mdb-dataTable thead > tr > td.sorting_asc,\\n table.mdb-dataTable thead > tr > td.sorting_desc,\\n table.mdb-dataTable thead > tr > td.sorting,\\n table thead.mdb-dataTable-head > tr > th.sorting_asc,\\n table thead.mdb-dataTable-head > tr > th.sorting_desc,\\n table thead.mdb-dataTable-head > tr > th.sorting,\\n table thead.mdb-dataTable-head > tr > td.sorting_asc,\\n table thead.mdb-dataTable-head > tr > td.sorting_desc,\\n table thead.mdb-dataTable-head > tr > td.sorting {\\n padding-right: 30px; }\\n table.mdb-dataTable thead > tr > th:active,\\n table.mdb-dataTable thead > tr > td:active,\\n table thead.mdb-dataTable-head > tr > th:active,\\n table thead.mdb-dataTable-head > tr > td:active {\\n outline: none; }\\n table.mdb-dataTable thead .sorting,\\n table.mdb-dataTable thead .sorting_asc,\\n table.mdb-dataTable thead .sorting_desc,\\n table.mdb-dataTable thead .sorting_asc_disabled,\\n table.mdb-dataTable thead .sorting_desc_disabled,\\n table thead.mdb-dataTable-head .sorting,\\n table thead.mdb-dataTable-head .sorting_asc,\\n table thead.mdb-dataTable-head .sorting_desc,\\n table thead.mdb-dataTable-head .sorting_asc_disabled,\\n table thead.mdb-dataTable-head .sorting_desc_disabled {\\n position: relative;\\n cursor: pointer; }\\n table.mdb-dataTable thead .sorting:before, table.mdb-dataTable thead .sorting:after,\\n table.mdb-dataTable thead .sorting_asc:before,\\n table.mdb-dataTable thead .sorting_asc:after,\\n table.mdb-dataTable thead .sorting_desc:before,\\n table.mdb-dataTable thead .sorting_desc:after,\\n table.mdb-dataTable thead .sorting_asc_disabled:before,\\n table.mdb-dataTable thead .sorting_asc_disabled:after,\\n table.mdb-dataTable thead .sorting_desc_disabled:before,\\n table.mdb-dataTable thead .sorting_desc_disabled:after,\\n table thead.mdb-dataTable-head .sorting:before,\\n table thead.mdb-dataTable-head .sorting:after,\\n table thead.mdb-dataTable-head .sorting_asc:before,\\n table thead.mdb-dataTable-head .sorting_asc:after,\\n table thead.mdb-dataTable-head .sorting_desc:before,\\n table thead.mdb-dataTable-head .sorting_desc:after,\\n table thead.mdb-dataTable-head .sorting_asc_disabled:before,\\n table thead.mdb-dataTable-head .sorting_asc_disabled:after,\\n table thead.mdb-dataTable-head .sorting_desc_disabled:before,\\n table thead.mdb-dataTable-head .sorting_desc_disabled:after {\\n position: absolute;\\n bottom: 1rem;\\n display: block;\\n opacity: 0; }\\n table.mdb-dataTable thead .sorting:hover::before,\\n table thead.mdb-dataTable-head .sorting:hover::before {\\n opacity: 0.6; }\\n table.mdb-dataTable thead .sorting:before,\\n table.mdb-dataTable thead .sorting_asc:before,\\n table.mdb-dataTable thead .sorting_desc:before,\\n table.mdb-dataTable thead .sorting_asc_disabled:before,\\n table.mdb-dataTable thead .sorting_desc_disabled:before,\\n table thead.mdb-dataTable-head .sorting:before,\\n table thead.mdb-dataTable-head .sorting_asc:before,\\n table thead.mdb-dataTable-head .sorting_desc:before,\\n table thead.mdb-dataTable-head .sorting_asc_disabled:before,\\n table thead.mdb-dataTable-head .sorting_desc_disabled:before {\\n left: -.4rem;\\n font-family: \"Font Awesome\\\\ 5 Free\", sans-serif;\\n font-size: 1rem;\\n font-weight: 900;\\n content: \"\\\\f062\"; }\\n table.mdb-dataTable thead .sorting:after,\\n table.mdb-dataTable thead .sorting_asc:after,\\n table.mdb-dataTable thead .sorting_desc:after,\\n table.mdb-dataTable thead .sorting_asc_disabled:after,\\n table.mdb-dataTable thead .sorting_desc_disabled:after,\\n table thead.mdb-dataTable-head .sorting:after,\\n table thead.mdb-dataTable-head .sorting_asc:after,\\n table thead.mdb-dataTable-head .sorting_desc:after,\\n table thead.mdb-dataTable-head .sorting_asc_disabled:after,\\n table thead.mdb-dataTable-head .sorting_desc_disabled:after {\\n left: -.4rem;\\n font-family: \"Font Awesome\\\\ 5 Free\", sans-serif;\\n font-size: 1rem;\\n font-weight: 900;\\n content: \"\\\\f063\"; }\\n table.mdb-dataTable thead .sorting_asc:before,\\n table.mdb-dataTable thead .sorting_desc:after,\\n table thead.mdb-dataTable-head .sorting_asc:before,\\n table thead.mdb-dataTable-head .sorting_desc:after {\\n opacity: 1; }\\n table.mdb-dataTable thead .sorting_asc_disabled:before,\\n table.mdb-dataTable thead .sorting_desc_disabled:after,\\n table thead.mdb-dataTable-head .sorting_asc_disabled:before,\\n table thead.mdb-dataTable-head .sorting_desc_disabled:after {\\n opacity: 0; }\\n\\n.mdb-dataTable_scrollBodyHead .dataTables_scrollHeadInner,\\n.mdb-dataTable_scrollBodyHead .dataTables_scrollHeadInner table {\\n padding-right: 0 !important;\\n margin-right: 0 !important;\\n width: 100% !important; }\\n\\n.mdb-dataTable_scrollBodyHead .dataTables_scrollHeadInner table {\\n margin-bottom: 0 !important; }\\n\\n.dataTables_scrollFoot .dataTables_scrollFootInner,\\n.dataTables_scrollFoot .dataTables_scrollFootInner table {\\n padding-right: 0 !important;\\n margin-right: 0 !important;\\n width: 100% !important; }\\n\\n.mdb-datatable table tr {\\n border-bottom: 1px solid #dee2e6; }\\n');\nee(\"table.mdb-dataTable tbody > tr.selected,\\ntable.mdb-dataTable tbody > tr > .selected {\\n background-color: #f5f5f5; }\\n\\ntable.mdb-dataTable tbody > tr:not(.selected):hover {\\n background-color: rgba(245, 245, 245, 0.4); }\\n\\ntable.mdb-dataTable.stripe tbody > tr.odd.selected,\\ntable.mdb-dataTable.stripe tbody > tr.odd > .selected, table.mdb-dataTable.display tbody > tr.odd.selected,\\ntable.mdb-dataTable.display tbody > tr.odd > .selected {\\n background-color: #acbad4; }\\n\\ntable.mdb-dataTable.hover tbody > tr.selected:hover,\\ntable.mdb-dataTable.hover tbody > tr > .selected:hover, table.mdb-dataTable.display tbody > tr.selected:hover,\\ntable.mdb-dataTable.display tbody > tr > .selected:hover {\\n background-color: #aab7d1; }\\n\\ntable.mdb-dataTable.order-column tbody > tr.selected > .sorting_1,\\ntable.mdb-dataTable.order-column tbody > tr.selected > .sorting_2,\\ntable.mdb-dataTable.order-column tbody > tr.selected > .sorting_3, table.mdb-dataTable.display tbody > tr.selected > .sorting_1,\\ntable.mdb-dataTable.display tbody > tr.selected > .sorting_2,\\ntable.mdb-dataTable.display tbody > tr.selected > .sorting_3 {\\n background-color: #acbad5; }\\n\\ntable.mdb-dataTable.order-column tbody > tr > .selected, table.mdb-dataTable.display tbody > tr > .selected {\\n background-color: #acbad5; }\\n\\ntable.mdb-dataTable.display tbody > tr.odd.selected > .sorting_1, table.mdb-dataTable.order-column.stripe tbody > tr.odd.selected > .sorting_1 {\\n background-color: #a6b4cd; }\\n\\ntable.mdb-dataTable.display tbody > tr.odd.selected > .sorting_2,\\ntable.mdb-dataTable.order-column.stripe tbody > tr.odd.selected > .sorting_2 {\\n background-color: #a8b5cf; }\\n\\ntable.mdb-dataTable.display tbody > tr.odd.selected > .sorting_3,\\ntable.mdb-dataTable.order-column.stripe tbody > tr.odd.selected > .sorting_3 {\\n background-color: #a9b7d1; }\\n\\ntable.mdb-dataTable.display tbody > tr.even.selected > .sorting_1,\\ntable.mdb-dataTable.order-column.stripe tbody > tr.even.selected > .sorting_1 {\\n background-color: #acbad5; }\\n\\ntable.mdb-dataTable.display tbody > tr.even.selected > .sorting_2,\\ntable.mdb-dataTable.order-column.stripe tbody > tr.even.selected > .sorting_2 {\\n background-color: #aebcd6; }\\n\\ntable.mdb-dataTable.display tbody > tr.even.selected > .sorting_3,\\ntable.mdb-dataTable.order-column.stripe tbody > tr.even.selected > .sorting_3 {\\n background-color: #afbdd8; }\\n\\ntable.mdb-dataTable.display tbody > tr.odd > .selected,\\ntable.mdb-dataTable.order-column.stripe tbody > tr.odd > .selected {\\n background-color: #a6b4cd; }\\n\\ntable.mdb-dataTable.display tbody > tr.even > .selected,\\ntable.mdb-dataTable.order-column.stripe tbody > tr.even > .selected {\\n background-color: #acbad5; }\\n\\ntable.mdb-dataTable.display tbody > tr.selected:hover > .sorting_1,\\ntable.mdb-dataTable.order-column.hover tbody > tr.selected:hover > .sorting_1 {\\n background-color: #a2aec7; }\\n\\ntable.mdb-dataTable.display tbody > tr.selected:hover > .sorting_2,\\ntable.mdb-dataTable.order-column.hover tbody > tr.selected:hover > .sorting_2 {\\n background-color: #a3b0c9; }\\n\\ntable.mdb-dataTable.display tbody > tr.selected:hover > .sorting_3,\\ntable.mdb-dataTable.order-column.hover tbody > tr.selected:hover > .sorting_3 {\\n background-color: #a5b2cb; }\\n\\ntable.mdb-dataTable.display tbody > tr:hover > .selected,\\ntable.mdb-dataTable.display tbody > tr > .selected:hover, table.mdb-dataTable.order-column.hover tbody > tr:hover > .selected,\\ntable.mdb-dataTable.order-column.hover tbody > tr > .selected:hover {\\n background-color: #a2aec7; }\\n\\ntable.mdb-dataTable tbody td.select-checkbox, table.mdb-dataTable tbody td.select-checkbox-all,\\ntable.mdb-dataTable tbody th.select-checkbox,\\ntable.mdb-dataTable tbody th.select-checkbox-all,\\ntable.mdb-dataTable thead td.select-checkbox,\\ntable.mdb-dataTable thead td.select-checkbox-all,\\ntable.mdb-dataTable thead th.select-checkbox,\\ntable.mdb-dataTable thead th.select-checkbox-all {\\n position: relative; }\\n table.mdb-dataTable tbody td.select-checkbox:before, table.mdb-dataTable tbody td.select-checkbox:after, table.mdb-dataTable tbody td.select-checkbox-all:before, table.mdb-dataTable tbody td.select-checkbox-all:after,\\n table.mdb-dataTable tbody th.select-checkbox:before,\\n table.mdb-dataTable tbody th.select-checkbox:after,\\n table.mdb-dataTable tbody th.select-checkbox-all:before,\\n table.mdb-dataTable tbody th.select-checkbox-all:after,\\n table.mdb-dataTable thead td.select-checkbox:before,\\n table.mdb-dataTable thead td.select-checkbox:after,\\n table.mdb-dataTable thead td.select-checkbox-all:before,\\n table.mdb-dataTable thead td.select-checkbox-all:after,\\n table.mdb-dataTable thead th.select-checkbox:before,\\n table.mdb-dataTable thead th.select-checkbox:after,\\n table.mdb-dataTable thead th.select-checkbox-all:before,\\n table.mdb-dataTable thead th.select-checkbox-all:after {\\n position: absolute;\\n top: 50%;\\n transform: translate(-50%, -50%);\\n left: 50%;\\n box-sizing: border-box;\\n display: block;\\n width: 20px;\\n height: 20px; }\\n table.mdb-dataTable tbody td.select-checkbox:hover, table.mdb-dataTable tbody td.select-checkbox-all:hover,\\n table.mdb-dataTable tbody th.select-checkbox:hover,\\n table.mdb-dataTable tbody th.select-checkbox-all:hover,\\n table.mdb-dataTable thead td.select-checkbox:hover,\\n table.mdb-dataTable thead td.select-checkbox-all:hover,\\n table.mdb-dataTable thead th.select-checkbox:hover,\\n table.mdb-dataTable thead th.select-checkbox-all:hover {\\n cursor: pointer; }\\n\\ntable.mdb-dataTable tbody td.select-checkbox:before,\\ntable.mdb-dataTable tbody th.select-checkbox.select-checkbox-all:before,\\ntable.mdb-dataTable thead td.select-checkbox:before,\\ntable.mdb-dataTable thead th.select-checkbox.select-checkbox-all:before {\\n content: ' ';\\n border: 2px solid #5a5a5a;\\n border-radius: 3px; }\\n\\ntable.mdb-dataTable tr.selected td.select-checkbox:after,\\ntable.mdb-dataTable tr.selected th.select-checkbox:after {\\n margin-top: 0;\\n text-align: center;\\n font-family: 'Font Awesome\\\\ 5 Free', sans-serif;\\n font-size: 0.9rem;\\n font-weight: 600;\\n content: '\\\\f00c';\\n background-color: #a6c;\\n box-shadow: 0 0 1em #5a5a5a;\\n color: #fff; }\\n\\ndiv.mdb-datatable span.select-info, div.mdb-datatable span.select-item {\\n margin-left: 0.5em; }\\n\\n@media screen and (max-width: 640px) {\\n div.mdb-datatable span.select-info, div.mdb-datatable span.select-item {\\n display: block;\\n margin-left: 0; } }\\n\");\nvar $e = function (t) {\n function r() {\n var t, a;\n E(this, r);\n for (var n = arguments.length, o = new Array(n), l = 0; l < n; l++) o[l] = arguments[l];\n return O(L(a = W(this, (t = M(r)).call.apply(t, [this].concat(o)))), \"state\", {\n activePage: 0,\n columns: a.props.data.columns || [],\n entries: a.props.entries,\n filteredRows: a.props.data.rows || [],\n filterOptions: [],\n order: a.props.order || [],\n pages: [],\n rows: a.props.data.rows || [],\n search: \"\",\n searchSelect: \"\",\n sorted: !1,\n translateScrollHead: 0,\n unsearchable: [],\n headCheckBox: !1,\n disableHeadCheckbox: !1\n }), O(L(a), \"handleCheckBoxChange\", function (e, t) {\n var r = a.props,\n n = r.getValueCheckBox,\n o = r.multipleCheckboxes,\n l = r.getValueCheckboxes,\n s = a.state,\n i = s.columns,\n c = j(s.rows).map(function (e, a) {\n return t === a ? I({}, e, {\n checked: !e.checked\n }) : o ? I({}, e) : I({}, e, {\n checked: !1\n });\n }),\n d = c.filter(function (e) {\n return !0 === e.checked;\n });\n a.setData(c, i, a.paginateRows), a.setState({\n filteredRows: c\n }, function () {\n a.filterRows();\n }), n && n(c[t]), l && l(d);\n }), O(L(a), \"handleAllCheckBoxes\", function () {\n var e = a.props.getValueAllCheckBoxes,\n t = a.state,\n r = t.rows,\n n = t.headCheckBox,\n o = t.columns,\n l = j(r).map(function (e) {\n var t = e.checked;\n return I({}, e, !t && !n || t && !n ? {\n checked: !0\n } : {\n checked: !1\n });\n });\n a.setData(l, o, a.paginateRows), a.setState({\n headCheckBox: !n,\n filteredRows: l\n }, function () {\n a.filterRows();\n }), e && e(l);\n }), O(L(a), \"setData\", function () {\n var e = arguments.length > 0 && void 0 !== arguments[0] ? arguments[0] : [],\n t = arguments.length > 1 && void 0 !== arguments[1] ? arguments[1] : [],\n r = arguments.length > 2 ? arguments[2] : void 0;\n a.setState(function () {\n return {\n columns: t,\n rows: e,\n filteredRows: a.props.disableRetreatAfterSorting ? a.filterRows() : e\n };\n }, r && \"function\" == typeof r && function () {\n return r();\n });\n }), O(L(a), \"setUnsearchable\", function (e) {\n var t = [];\n e.forEach(function (e) {\n void 0 !== e.searchable && !1 === e.searchable && t.push(e.field);\n }), a.setState({\n unsearchable: t\n });\n }), O(L(a), \"fetchData\", function (e, t) {\n fetch(e).then(function (e) {\n return e.json();\n }).then(function (e) {\n return a.setData(e.rows, e.columns, t ? a.paginateRows : null);\n }).catch(function (e) {\n return console.log(e);\n });\n }), O(L(a), \"pagesAmount\", function () {\n return Math.ceil(a.state.filteredRows.length / a.state.entries);\n }), O(L(a), \"paginateRowsInitialy\", function () {\n for (var e = a.state, t = e.rows, r = e.entries, n = e.pages, o = a.pagesAmount(), l = 1; l <= o; l++) {\n var s = l * r;\n n.push(t.slice(s - r, s));\n }\n }), O(L(a), \"handleEntriesChange\", function (e) {\n a.setState({\n entries: Array.isArray(e) ? e[0] : e\n }, function () {\n return a.paginateRows();\n });\n }), O(L(a), \"handleSearchChange\", function (e) {\n a.setState({\n search: e.target.value\n }, function () {\n return a.filterRows();\n }, a.props.onSearch && \"function\" == typeof a.props.onSearch && a.props.onSearch(e.target.value));\n }), O(L(a), \"checkFieldValue\", function (e, t) {\n return e[t] && \"string\" != typeof e[t] ? e[t].props.searchvalue : e[t];\n }), O(L(a), \"checkField\", function (e, t, r, n) {\n var o = [a.checkFieldValue(t, e), a.checkFieldValue(r, e)],\n l = o[0] > o[1] ? -1 : 1;\n return \"asc\" === n && (l *= -1), l;\n }), O(L(a), \"sort\", function (e, t, r, n) {\n e.sort(function (e, o) {\n return t && t.includes(r) ? a.checkField(r, e, o, n) : \"asc\" === n ? e[r] < o[r] ? -1 : 1 : e[r] > o[r] ? -1 : 1;\n });\n }), O(L(a), \"handleSort\", function (e, t) {\n var r = a.props,\n n = r.onSort,\n o = r.sortRows;\n \"disabled\" !== t && (a.setState(function (r) {\n var n = r.rows,\n l = r.columns,\n s = j(n),\n i = \"desc\" === t ? \"desc\" : \"asc\";\n return a.sort(s, o, e, i), j(l).forEach(function (t) {\n \"disabled\" !== t.sort && (t.sort = t.field === e ? \"desc\" === t.sort ? \"asc\" : \"desc\" : \"\");\n }), {\n rows: s,\n columns: l,\n sorted: !0\n };\n }, function () {\n return a.filterRows();\n }), n && \"function\" == typeof n && n({\n column: e,\n direction: \"desc\" === t ? \"desc\" : \"asc\"\n }));\n }), O(L(a), \"filterRows\", function () {\n var e = arguments.length > 0 && void 0 !== arguments[0] ? arguments[0] : a.state.search,\n t = a.state.unsearchable,\n r = a.props,\n n = r.sortRows,\n o = r.noRecordsFoundLabel,\n l = r.disableRetreatAfterSorting,\n s = r.checkbox;\n a.setState(function (a) {\n var r = a.rows.filter(function (a) {\n for (var r in a) if (!(t.length && t.includes(r) || \"function\" == typeof a[r])) {\n var o = \"\";\n if (n && \"string\" != typeof a[r] ? (l = void 0, l = [], function e(t) {\n return \"object\" === C(t) ? t.props.children && Array.from(t.props.children).map(function (t) {\n return e(t);\n }) : l.push(t);\n }(a[r]), o = l.join(\"\")) : a[r] && (o = a[r].toString()), o.toLowerCase().includes(e.toLowerCase())) return !0;\n }\n var l;\n return !1;\n });\n return 0 === r.length && r.push({\n message: o,\n colspan: a.columns.length,\n disabled: !0\n }), l || s ? {\n filteredRows: r,\n activePage: a.activePage = a.activePage < a.pages.length || 0 === a.activePage ? a.activePage : a.pages.length - 1\n } : {\n filteredRows: r,\n activePage: 0\n };\n }, function () {\n return a.paginateRows();\n });\n }), O(L(a), \"paginateRows\", function () {\n var e = a.pagesAmount();\n a.setState(function (t) {\n var r = t.pages,\n n = t.entries,\n o = t.filteredRows,\n l = t.activePage,\n s = a.props,\n i = s.paging,\n c = s.disableRetreatAfterSorting,\n d = s.checkbox;\n if (r = [], i) {\n for (var p = 1; p <= e; p++) {\n var b = p * n;\n r.push(o.slice(b - n, b));\n }\n c && !d || (l = l < r.length || 0 === l ? l : r.length - 1);\n } else r.push(o), l = 0;\n return {\n pages: r,\n filteredRows: o,\n activePage: l\n };\n });\n }), O(L(a), \"changeActivePage\", function (e) {\n var t = a.props.onPageChange;\n a.setState({\n activePage: e\n }), t && \"function\" == typeof t && t({\n activePage: e + 1,\n pagesAmount: a.pagesAmount()\n });\n }), O(L(a), \"handleTableBodyScroll\", function (e) {\n a.setState({\n translateScrollHead: e.target.scrollLeft\n });\n }), O(L(a), \"appendSearchDepend\", function () {\n var t = a.props,\n r = t.barReverse,\n n = t.searching,\n o = t.searchLabel,\n l = t.searchBottom,\n s = t.entries,\n i = t.paging,\n c = t.displayEntries,\n d = t.entriesLabel,\n p = t.entriesOptions,\n b = t.pagingTop,\n u = t.searchTop,\n m = t.materialSearch,\n h = a.state.search;\n return e.createElement(\"div\", {\n className: \"row\".concat(r ? \" flex-row-reverse\" : \"\", \" \").concat(l ? \"ml-3\" : \"ml-1\", \" justify-content-between\")\n }, e.createElement(Ke, {\n handleSearchChange: a.handleSearchChange,\n search: h,\n searching: n,\n label: o,\n barReverse: r,\n wrapperSearchClasses: \"\".concat(r && \"mr-3\"),\n materialSearch: m\n }), u && b && e.createElement(Ge, {\n paging: i,\n displayEntries: c,\n entries: s,\n handleEntriesChange: a.handleEntriesChange,\n entriesArr: p,\n label: d,\n barReverse: r,\n className: \"\".concat(!r && \"mr-2\")\n }));\n }), a;\n }\n return B(r, a), R(r, [{\n key: \"componentDidMount\",\n value: function () {\n var t = this,\n a = this.props,\n r = a.data,\n n = a.paging,\n o = a.checkbox,\n l = a.checkboxFirstColumn,\n s = a.filledCheckboxes,\n i = a.multipleCheckboxes,\n c = a.headCheckboxID,\n d = a.proCheckboxes,\n b = this.state,\n u = b.order,\n m = b.columns,\n h = b.pages,\n g = b.rows,\n f = b.headCheckBox,\n v = b.disableHeadCheckbox;\n if (\"string\" == typeof r && this.fetchData(r, this.paginateRows), o) {\n var y = {\n label: i ? d ? e.createElement(p, {\n type: \"checkbox\",\n onChange: this.handleAllCheckBoxes,\n id: c,\n checked: !!f,\n value: f,\n \"aria-checked\": f,\n filled: s\n }) : e.createElement(\"div\", {\n className: \"custom-control custom-checkbox text-center\"\n }, e.createElement(\"input\", {\n type: \"checkbox\",\n className: \"custom-control-input\",\n onChange: this.handleAllCheckBoxes,\n id: c,\n checked: !!f,\n value: f,\n \"aria-checked\": f\n }), e.createElement(\"label\", {\n className: \"custom-control-label\",\n htmlFor: c\n })) : \"\",\n field: \"checkbox\",\n sort: \"disabled\",\n width: 150\n };\n l ? this.setState(function (e) {\n return {\n columns: [].concat(j(e.columns), [y])\n };\n }) : this.setState(function (e) {\n return {\n columns: [y].concat(j(e.columns))\n };\n });\n var x = j(g).map(function (a, r) {\n return I({}, a, {\n checked: !1,\n checkbox: d ? e.createElement(p, {\n type: \"checkbox\",\n onChange: t.handleAllCheckBoxes,\n id: c,\n checked: !!f,\n value: f,\n \"aria-checked\": f,\n filled: s,\n disabled: v\n }) : e.createElement(\"div\", {\n className: \"custom-control custom-checkbox text-center\"\n }, e.createElement(\"input\", {\n type: \"checkbox\",\n className: \"custom-control-input\",\n onChange: t.handleAllCheckBoxes,\n id: c,\n checked: !!f,\n value: f,\n \"aria-checked\": f,\n disabled: v\n }), e.createElement(\"label\", {\n className: \"custom-control-label\",\n htmlFor: c\n }))\n });\n });\n this.setState({\n rows: x\n });\n }\n u.length > 0 ? this.handleSort(u[0], u[1]) : this.handleSort(), this.setUnsearchable(m), n ? this.paginateRowsInitialy() : h.push(g);\n }\n }, {\n key: \"componentDidUpdate\",\n value: function (t, a) {\n var r = this,\n n = this.state,\n o = n.columns,\n l = n.rows,\n s = n.activePage,\n i = n.headCheckBox,\n c = n.disableHeadCheckbox,\n d = n.filteredRows,\n b = this.props,\n u = b.data,\n m = b.checkbox,\n h = b.filledCheckboxes,\n g = b.multipleCheckboxes,\n f = b.headCheckboxID,\n v = b.bodyCheckboxID,\n y = b.proCheckboxes;\n if (m && (g && a.filteredRows !== d && (d[0].disabled ? this.setState({\n disableHeadCheckbox: !0\n }) : this.setState({\n disableHeadCheckbox: !1\n })), a.rows !== l)) {\n if (g) {\n var x = j(l).filter(function (e) {\n return e.checked;\n }),\n T = j(o).map(function (t) {\n return \"checkbox\" !== t.field ? I({}, t) : I({}, t, {\n label: y ? e.createElement(p, {\n type: \"checkbox\",\n onChange: function (e) {\n return r.handleAllCheckBoxes(e);\n },\n id: f,\n checked: !!i,\n value: i,\n \"aria-checked\": i,\n filled: h,\n disabled: c\n }) : e.createElement(\"div\", {\n className: \"custom-control custom-checkbox text-center\"\n }, e.createElement(\"input\", {\n type: \"checkbox\",\n className: \"custom-control-input\",\n onChange: function (e) {\n return r.handleAllCheckBoxes(e);\n },\n id: f,\n checked: !!i,\n value: i,\n \"aria-checked\": i,\n disabled: c\n }), e.createElement(\"label\", {\n className: \"custom-control-label\",\n htmlFor: f\n }))\n });\n });\n this.setData(l, T, this.paginateRows), this.setState({\n headCheckBox: !1\n }, function () {\n r.filterRows();\n }), x.length === l.length ? this.setState({\n headCheckBox: !0\n }) : this.setState({\n headCheckBox: !1\n });\n }\n for (var k = 0; k < l.length; k++) if (a.rows[k].checked !== l[k].checked) {\n var N = j(l).map(function (t, a) {\n var n = t.checked;\n return I({}, t, {\n checkbox: y ? e.createElement(p, {\n type: \"checkbox\",\n onChange: function (e) {\n return r.handleCheckBoxChange(t, a);\n },\n id: v + a,\n checked: n,\n value: n,\n \"aria-checked\": n,\n filled: h\n }) : e.createElement(\"div\", {\n className: \"custom-control custom-checkbox text-center\"\n }, e.createElement(\"input\", {\n type: \"checkbox\",\n className: \"custom-control-input\",\n onChange: function (e) {\n return r.handleCheckBoxChange(t, a);\n },\n id: v + a,\n checked: n,\n value: n,\n \"aria-checked\": n\n }), e.createElement(\"label\", {\n className: \"custom-control-label\",\n htmlFor: v + a\n }))\n });\n });\n this.setData(N, o);\n }\n }\n a.activePage !== s && this.changeActivePage(s), t.data !== u && (\"string\" == typeof u ? this.fetchData(u) : this.setData(u.rows, u.columns, this.paginateRows), this.setUnsearchable(o), this.filterRows());\n }\n }, {\n key: \"render\",\n value: function () {\n var t = this.props,\n a = t.autoWidth,\n r = t.barReverse,\n n = t.bordered,\n o = t.borderless,\n s = t.btn,\n i = (t.checkboxFirstColumn, t.children, t.className),\n c = t.dark,\n d = (t.data, t.disableRetreatAfterSorting, t.displayEntries),\n p = t.entriesLabel,\n b = t.entriesOptions,\n u = (t.exportToCSV, t.filledCheckboxes, t.filter, t.fixed),\n m = t.fullPagination,\n h = (t.getValueAllCheckBoxes, t.getValueCheckBox, t.getValueCheckboxes, t.hover),\n g = t.info,\n f = t.infoLabel,\n v = t.maxHeight,\n y = t.noBottomColumns,\n x = t.noRecordsFoundLabel,\n T = (t.onPageChange, t.onSearch, t.onSort, t.order, t.pagesAmount),\n k = t.paginationLabel,\n N = t.paging,\n w = (t.proCheckboxes, t.responsive),\n C = t.responsiveLg,\n E = t.responsiveMd,\n S = t.responsiveSm,\n R = t.responsiveXl,\n O = t.scrollX,\n D = t.scrollY,\n I = t.searchBottom,\n B = (t.searching, t.searchLabel, t.searchTop),\n M = t.small,\n q = (t.multipleCheckboxes, t.bodyCheckboxID, t.headCheckboxID, t.sortable),\n L = (t.sortRows, t.striped),\n W = t.tbodyColor,\n A = t.tbodyTextWhite,\n j = t.theadColor,\n F = t.theadTextWhite,\n H = t.proSelect,\n z = t.pagingTop,\n V = (t.materialSearch, _(t, [\"autoWidth\", \"barReverse\", \"bordered\", \"borderless\", \"btn\", \"checkboxFirstColumn\", \"children\", \"className\", \"dark\", \"data\", \"disableRetreatAfterSorting\", \"displayEntries\", \"entriesLabel\", \"entriesOptions\", \"exportToCSV\", \"filledCheckboxes\", \"filter\", \"fixed\", \"fullPagination\", \"getValueAllCheckBoxes\", \"getValueCheckBox\", \"getValueCheckboxes\", \"hover\", \"info\", \"infoLabel\", \"maxHeight\", \"noBottomColumns\", \"noRecordsFoundLabel\", \"onPageChange\", \"onSearch\", \"onSort\", \"order\", \"pagesAmount\", \"paginationLabel\", \"paging\", \"proCheckboxes\", \"responsive\", \"responsiveLg\", \"responsiveMd\", \"responsiveSm\", \"responsiveXl\", \"scrollX\", \"scrollY\", \"searchBottom\", \"searching\", \"searchLabel\", \"searchTop\", \"small\", \"multipleCheckboxes\", \"bodyCheckboxID\", \"headCheckboxID\", \"sortable\", \"sortRows\", \"striped\", \"tbodyColor\", \"tbodyTextWhite\", \"theadColor\", \"theadTextWhite\", \"proSelect\", \"pagingTop\", \"materialSearch\"])),\n X = this.state,\n Y = X.columns,\n U = X.entries,\n G = X.filteredRows,\n J = (X.filterOptions, X.pages),\n K = X.activePage,\n Q = X.sorted,\n Z = X.translateScrollHead,\n $ = l(\"mdb-datatable dt-bootstrap4\", i);\n return e.createElement(\"div\", {\n \"data-test\": \"datatable\",\n className: $\n }, B && !I && this.appendSearchDepend(), !D && !O && e.createElement(\"div\", {\n className: \"row\"\n }, e.createElement(Xe, P({\n autoWidth: a,\n bordered: n,\n borderless: o,\n btn: s,\n dark: c,\n fixed: u,\n hover: h,\n noBottomColumns: y,\n noRecordsFoundLabel: x,\n responsive: w,\n responsiveSm: S,\n responsiveMd: E,\n responsiveLg: C,\n responsiveXl: R,\n small: M,\n striped: L,\n theadColor: j,\n theadTextWhite: F,\n columns: Y,\n handleSort: this.handleSort,\n sortable: q,\n tbodyColor: W,\n tbodyTextWhite: A,\n rows: J[K],\n sorted: Q\n }, V))), (D || O) && e.createElement(\"div\", {\n className: \"row\"\n }, e.createElement(Ye, P({\n autoWidth: a,\n bordered: n,\n borderless: o,\n btn: s,\n dark: c,\n fixed: u,\n handleTableBodyScroll: this.handleTableBodyScroll,\n hover: h,\n maxHeight: v,\n responsive: w,\n responsiveSm: S,\n responsiveMd: E,\n responsiveLg: C,\n responsiveXl: R,\n scrollX: O,\n scrollY: D,\n small: M,\n striped: L,\n theadColor: j,\n theadTextWhite: F,\n columns: Y,\n handleSort: this.handleSort,\n sortable: q,\n sorted: Q,\n tbodyColor: W,\n tbodyTextWhite: A,\n rows: J[K],\n translateScrollHead: Z\n }, V))), e.createElement(\"div\", {\n className: \"row\"\n }, e.createElement(\"div\", {\n className: \"d-flex w-100 justify-content-\".concat(I ? \"between\" : \"end\")\n }, I && !B && this.appendSearchDepend(), e.createElement(\"div\", {\n className: \"d-flex align-items-center justify-content-end\"\n }, N ? z ? \"\" : e.createElement(Ge, {\n paging: N,\n displayEntries: d,\n entries: U,\n handleEntriesChange: this.handleEntriesChange,\n entriesArr: b,\n label: p,\n barReverse: r,\n proSelect: H\n }) : \"\", e.createElement(Qe, {\n activePage: K,\n entries: U,\n filteredRows: G,\n info: g,\n pages: J,\n label: f,\n noRecordsFoundLabel: x\n }), e.createElement(Ze, {\n activePage: K,\n changeActivePage: this.changeActivePage,\n pages: J,\n pagesAmount: T,\n label: k,\n fullPagination: m\n })))));\n }\n }]), r;\n}();\n$e.propTypes = {\n autoWidth: s.bool,\n barReverse: s.bool,\n bordered: s.bool,\n borderless: s.bool,\n btn: s.bool,\n children: s.node,\n className: s.string,\n dark: s.bool,\n data: s.oneOfType([s.object, s.string]),\n disableRetreatAfterSorting: s.bool,\n displayEntries: s.bool,\n entries: s.number,\n entriesLabel: s.oneOfType([s.string, s.number, s.object]),\n entriesOptions: s.arrayOf(s.number),\n exportToCSV: s.bool,\n filledCheckboxes: s.bool,\n filter: s.string,\n fixed: s.bool,\n fullPagination: s.bool,\n headCheckboxID: s.string,\n hover: s.bool,\n info: s.bool,\n infoLabel: s.oneOfType([s.array, s.object, s.string]),\n materialSearch: s.bool,\n maxHeight: s.string,\n noBottomColumns: s.bool,\n noRecordsFoundLabel: s.string,\n onPageChange: s.func,\n onSearch: s.func,\n onSort: s.func,\n order: s.arrayOf(s.string),\n pagesAmount: s.number,\n paginationLabel: s.arrayOf(s.string),\n paging: s.bool,\n responsive: s.bool,\n responsiveLg: s.bool,\n responsiveMd: s.bool,\n responsiveSm: s.bool,\n responsiveXl: s.bool,\n scrollX: s.bool,\n scrollY: s.bool,\n searching: s.bool,\n searchLabel: s.string,\n small: s.bool,\n sortable: s.bool,\n sortRows: s.arrayOf(s.string),\n striped: s.bool,\n tbodyColor: s.string,\n tbodyTextWhite: s.bool,\n theadColor: s.string,\n theadTextWhite: s.bool\n}, $e.defaultProps = {\n autoWidth: !1,\n barReverse: !1,\n bordered: !1,\n borderless: !0,\n btn: !1,\n dark: !1,\n data: {\n columns: [],\n rows: []\n },\n disableRetreatAfterSorting: !1,\n displayEntries: !0,\n entries: 10,\n entriesLabel: \"Rows per page:\",\n entriesOptions: [10, 20, 50, 100],\n exportToCSV: !1,\n filledCheckboxes: !1,\n fixed: !1,\n hover: !1,\n info: !0,\n infoLabel: [\"\", \"-\", \"of\", \"\"],\n noBottomColumns: !0,\n noRecordsFoundLabel: \"No matching records found\",\n order: [],\n pagesAmount: 8,\n paginationLabel: [\"Prev\", \"Next\"],\n paging: !0,\n responsive: !1,\n responsiveLg: !1,\n responsiveMd: !1,\n responsiveSm: !1,\n responsiveXl: !1,\n scrollX: !1,\n scrollY: !1,\n searchBottom: !0,\n searching: !0,\n searchLabel: \"Search\",\n searchTop: !1,\n small: !1,\n sortable: !0,\n striped: !1,\n theadColor: \"\",\n theadTextWhite: !1,\n tbodyColor: \"\",\n tbodyTextWhite: !1,\n headCheckboxID: \"checkbox-id\",\n proCheckboxes: !1,\n fullPagination: !1,\n proSelect: !1,\n materialSearch: !1\n};\nvar et = function (t) {\n function r() {\n var e, t;\n E(this, r);\n for (var a = arguments.length, n = new Array(a), o = 0; o < a; o++) n[o] = arguments[o];\n return O(L(t = W(this, (e = M(r)).call.apply(e, [this].concat(n)))), \"state\", {\n isOpen: !1\n }), O(L(t), \"getContainer\", function () {\n return c.findDOMNode(L(t));\n }), O(L(t), \"addEvents\", function () {\n [\"click\", \"touchstart\", \"keyup\"].forEach(function (e) {\n return document.addEventListener(e, t.handleDocumentClick, !0);\n });\n }), O(L(t), \"removeEvents\", function () {\n [\"click\", \"touchstart\", \"keyup\"].forEach(function (e) {\n return document.removeEventListener(e, t.handleDocumentClick, !0);\n });\n }), O(L(t), \"handleDocumentClick\", function (e) {\n var a = e.which,\n r = e.type,\n n = e.target,\n o = a === G,\n l = \"keyup\" === r;\n if (!(3 === a || l && !o)) {\n var s = t.getContainer();\n (!s.contains(n) || s === n || l && !o) && t.toggle();\n }\n }), O(L(t), \"handleFocus\", function (e, t) {\n var a = J,\n r = K,\n n = e.which,\n o = e.target,\n l = n === a,\n s = n === r,\n i = j(t).findIndex(function (e) {\n return e === o;\n });\n l && i > 0 && (i -= 1), s && i < t.length - 1 && (i += 1), i < 0 && (i = 0), t[i].focus();\n }), O(L(t), \"handleKeyDown\", function (e) {\n var a = t.state.isOpen,\n r = t.props.disabled,\n n = e.which,\n o = e.target,\n l = n === U,\n s = n === Y;\n if (!(![Y, J, K, U].includes(n) || /button/i.test(o.tagName) && l || /input|textarea/i.test(o.tagName) || (e.preventDefault(), r))) {\n var i = t.getContainer();\n if (l && a && i !== o && o.click(), s || !a) return t.toggle(), void i.children[0].focus();\n var c = i.querySelectorAll(\".dropdown-menu .dropdown-item:not(.disabled)\");\n c.length && t.handleFocus(e, c);\n }\n }), O(L(t), \"toggle\", function () {\n var e = t.state.isOpen;\n t.setState({\n isOpen: !e\n });\n }), t;\n }\n return B(r, a), R(r, [{\n key: \"getChildContext\",\n value: function () {\n var e = this.state.isOpen,\n t = this.props;\n return {\n isOpen: e,\n dropup: t.dropup,\n dropright: t.dropright,\n dropleft: t.dropleft,\n toggle: this.toggle\n };\n }\n }, {\n key: \"componentDidMount\",\n value: function () {\n this.handleEventsBinding();\n }\n }, {\n key: \"componentWillUnmount\",\n value: function () {\n this.removeEvents();\n }\n }, {\n key: \"componentDidUpdate\",\n value: function () {\n this.handleEventsBinding();\n }\n }, {\n key: \"handleEventsBinding\",\n value: function () {\n this.state.isOpen ? this.addEvents() : this.removeEvents();\n }\n }, {\n key: \"render\",\n value: function () {\n var t,\n a = X(this.props, [\"toggle\", \"disabled\"]),\n r = a.className,\n n = a.children,\n o = a.dropup,\n s = a.group,\n i = a.size,\n c = a.dropright,\n d = a.dropleft,\n p = this.state.isOpen,\n b = l((O(t = {\n \"btn-group\": s\n }, \"btn-group-\".concat(i), !!i), O(t, \"dropdown\", !s), O(t, \"show\", p), O(t, \"dropup\", o), O(t, \"dropright\", c), O(t, \"dropleft\", d), t), r);\n return e.createElement(f, null, e.createElement(\"div\", {\n \"data-test\": \"dropdown\",\n className: b,\n onKeyDown: this.handleKeyDown\n }, n));\n }\n }]), r;\n}();\net.propTypes = {\n children: s.node,\n className: s.string,\n disabled: s.bool,\n dropleft: s.bool,\n dropright: s.bool,\n dropup: s.bool,\n group: s.bool,\n size: s.string,\n tag: s.string,\n toggle: s.func\n}, et.defaultProps = {\n dropleft: !1,\n dropright: !1,\n dropup: !1,\n tag: \"div\"\n}, et.childContextTypes = {\n dropleft: s.bool.isRequired,\n dropright: s.bool.isRequired,\n dropup: s.bool.isRequired,\n isOpen: s.bool.isRequired,\n toggle: s.func.isRequired\n};\nvar tt = function (t) {\n function r() {\n var e, t;\n E(this, r);\n for (var a = arguments.length, n = new Array(a), o = 0; o < a; o++) n[o] = arguments[o];\n return O(L(t = W(this, (e = M(r)).call.apply(e, [this].concat(n)))), \"onClick\", function (e) {\n var a = t.props,\n r = a.disabled,\n n = a.header,\n o = a.divider,\n l = a.onClick,\n s = a.toggle;\n r || n || o ? e.preventDefault() : (l && l(e), s && t.context.toggle(e));\n }), O(L(t), \"getTabIndex\", function () {\n var e = t.props,\n a = e.disabled,\n r = e.header,\n n = e.divider;\n return a || r || n ? \"-1\" : \"0\";\n }), t;\n }\n return B(r, a), R(r, [{\n key: \"render\",\n value: function () {\n var t = this.getTabIndex(),\n a = X(this.props, [\"toggle\"]),\n r = a.className,\n n = a.divider,\n o = a.tag,\n s = a.header,\n i = a.href,\n c = a.active,\n d = a.disabled,\n p = _(a, [\"className\", \"divider\", \"tag\", \"header\", \"href\", \"active\", \"disabled\"]),\n b = this.props.toggle,\n u = l({\n active: c,\n disabled: d,\n \"dropdown-item\": !n && !s,\n \"dropdown-header\": s,\n \"dropdown-divider\": n\n }, r);\n \"button\" === o && (s ? o = \"h6\" : n ? o = \"div\" : i && (o = \"a\"));\n var m = \"button\" === o && (p.onClick || b) ? \"button\" : void 0;\n return e.createElement(o, P({\n \"data-test\": \"dropdown-item\",\n type: m\n }, p, {\n tabIndex: t,\n className: u,\n onClick: this.onClick,\n href: i\n }));\n }\n }]), r;\n}();\ntt.propTypes = {\n active: s.bool,\n children: s.node,\n className: s.string,\n disabled: s.bool,\n divider: s.bool,\n header: s.bool,\n onClick: s.func,\n tag: s.oneOfType([s.func, s.string]),\n toggle: s.bool\n}, tt.defaultProps = {\n tag: \"button\",\n toggle: !0\n}, tt.contextTypes = {\n toggle: s.func\n};\nvar at = function (t) {\n var a = t.tag,\n r = t.tabIndex,\n n = t.role,\n o = t.attributes,\n l = t.aria,\n s = t.d_key,\n i = t.children;\n return e.createElement(a, P({\n \"data-test\": \"dropdown-menu-component\",\n tabIndex: r,\n role: n\n }, o, {\n \"aria-hidden\": l,\n key: s\n }), i);\n};\nat.propTypes = {\n aria: s.bool.isRequired,\n attributes: s.object.isRequired,\n children: s.node.isRequired,\n d_key: s.string.isRequired,\n role: s.string.isRequired,\n tabIndex: s.string.isRequired,\n tag: s.any.isRequired\n};\nee(\".dropup .dropdown-menu {\\r\\n top: auto !important;\\r\\n bottom: 100% !important;\\r\\n transform: translate3d(5px, 5px, 0px) !important;\\r\\n}\\r\\n\\r\\n.dropdown-menu-right {\\r\\n left: 0 !important;\\r\\n right: auto !important;\\r\\n}\\r\\n\");\nvar rt = function (t) {\n function r() {\n return E(this, r), W(this, M(r).apply(this, arguments));\n }\n return B(r, a), R(r, [{\n key: \"render\",\n value: function () {\n var t,\n a = this.props,\n r = a.basic,\n n = a.children,\n o = a.className,\n s = a.color,\n i = a.flip,\n c = a.modifiers,\n d = a.right,\n p = a.tag,\n b = _(a, [\"basic\", \"children\", \"className\", \"color\", \"flip\", \"modifiers\", \"right\", \"tag\"]),\n u = this.context,\n m = u.isOpen,\n h = u.dropup,\n g = u.dropright,\n f = u.dropleft,\n y = l((O(t = {\n \"dropdown-menu-right\": d\n }, \"dropdown-\".concat(s), s), O(t, \"show\", m), O(t, \"basic\", r), t), \"dropdown-menu\", o),\n x = p;\n if (m) {\n var T = h ? \"top\" : g ? \"right\" : f ? \"left\" : \"bottom\",\n k = d ? \"end\" : \"start\";\n b.placement = \"\".concat(T, \"-\").concat(k), b.component = p;\n }\n return e.createElement(v, {\n modifiers: c || !i && {\n flip: {\n enabled: !1\n }\n },\n eventsEnabled: !0,\n positionFixed: !1,\n placement: b.placement,\n \"data-test\": \"dropdown-menu\"\n }, function (t) {\n var a = t.placement,\n r = t.ref,\n o = t.style;\n return e.createElement(x, {\n ref: r,\n style: o,\n \"data-placement\": a,\n className: y\n }, e.createElement(at, {\n isOpen: m,\n tag: x,\n tabIndex: \"-1\",\n role: \"menu\",\n attributes: b,\n aria: !m,\n d_key: \"dropDownMenu\",\n color: s\n }, n));\n });\n }\n }]), r;\n}();\nrt.propTypes = {\n children: s.node.isRequired,\n basic: s.bool,\n className: s.string,\n flip: s.bool,\n modifiers: s.object,\n right: s.bool,\n tag: s.string\n}, rt.defaultProps = {\n basic: !1,\n className: \"\",\n flip: !0,\n right: !1,\n tag: \"div\",\n color: !1\n}, rt.contextTypes = {\n isOpen: s.bool.isRequired,\n dropup: s.bool.isRequired,\n dropright: s.bool.isRequired,\n dropleft: s.bool.isRequired,\n color: s.oneOfType([s.oneOf([\"primary\", \"default\", \"secondary\", \"success\", \"dark\", \"danger\", \"info\", \"warning\", \"ins\"]), s.bool])\n};\nvar nt = function (a) {\n var r,\n n = A(t({}), 2),\n o = n[0],\n s = n[1],\n i = function (e) {\n e.stopPropagation();\n var t = {\n top: e.clientY,\n left: e.clientX,\n time: Date.now()\n };\n s(t);\n },\n c = a.action,\n d = a.active,\n p = a.block,\n b = a.children,\n u = a.circle,\n m = a.className,\n h = a.color,\n g = a.disabled,\n f = a.download,\n v = a.flat,\n y = a.gradient,\n x = a.innerRef,\n T = a.outline,\n k = a.role,\n N = a.rounded,\n w = a.size,\n C = a.social,\n E = a.tag,\n S = a.target,\n R = a.type,\n D = _(a, [\"action\", \"active\", \"block\", \"children\", \"circle\", \"className\", \"color\", \"disabled\", \"download\", \"flat\", \"gradient\", \"innerRef\", \"outline\", \"role\", \"rounded\", \"size\", \"social\", \"tag\", \"target\", \"type\"]),\n I = l(\"\" !== h && \"btn-\".concat(h), h && T && \"btn-outline-\".concat(h), \"btn\", \"Ripple-parent\", y && \"\".concat(y, \"-gradient\"), (O(r = {\n active: d,\n \"btn-circle\": u,\n \"btn-block\": p,\n \"btn-action\": c\n }, \"btn-\".concat(C), C), O(r, \"btn-\".concat(w), w), O(r, \"disabled\", g), r), m);\n return D.href && \"button\" === E && (E = \"a\"), e.createElement(E, P({\n \"data-test\": \"button\",\n type: \"button\" !== E || R ? R : \"button\",\n target: S,\n role: \"a\" !== E || k ? k : \"button\",\n className: I,\n ref: x,\n onMouseUp: i,\n onTouchStart: i\n }, D, {\n download: f,\n disabled: g\n }), b, !g && e.createElement(ce, {\n cursorPos: o,\n outline: T,\n flat: v || N\n }));\n};\nnt.defaultProps = {\n color: \"default\",\n tag: \"button\"\n}, nt.propTypes = {\n action: s.bool,\n active: s.bool,\n block: s.bool,\n children: s.node,\n circle: s.bool,\n className: s.string,\n color: s.string,\n disabled: s.bool,\n download: s.string,\n flat: s.bool,\n innerRef: s.oneOfType([s.func, s.string]),\n onClick: s.func,\n role: s.string,\n size: s.string,\n social: s.string,\n tag: s.string,\n target: s.string,\n type: s.string\n};\nvar ot = function (t) {\n function a() {\n var e, t;\n E(this, a);\n for (var r = arguments.length, n = new Array(r), o = 0; o < r; o++) n[o] = arguments[o];\n return O(L(t = W(this, (e = M(a)).call.apply(e, [this].concat(n)))), \"onClick\", function (e) {\n var a = t.props,\n r = a.disabled,\n n = a.nav,\n o = a.tag,\n l = a.onClick,\n s = t.context.toggle;\n r ? e.preventDefault() : (n && !o && e.preventDefault(), l && l(e), s(e));\n }), t;\n }\n return B(a, e.Component), R(a, [{\n key: \"render\",\n value: function () {\n var t = this,\n a = this.props,\n r = a.className,\n n = a.color,\n o = a.caret,\n s = a.nav,\n i = a.tag,\n c = _(a, [\"className\", \"color\", \"caret\", \"nav\", \"tag\"]),\n d = this.context.isOpen,\n p = c[\"aria-label\"] || \"Toggle Dropdown\",\n b = l({\n \"dropdown-toggle\": o,\n \"nav-link\": s\n }, r),\n u = c.children || e.createElement(\"span\", {\n className: \"sr-only\"\n }, p),\n m = i;\n return s && !i ? (m = \"a\", c.href = \"#\") : i || (m = nt, c.color = n), e.createElement(y, {\n \"data-test\": \"dropdown-toggle\"\n }, function (a) {\n var r = a.ref;\n return i || s ? e.createElement(m, P({}, c, {\n className: b,\n onClick: t.onClick,\n \"aria-expanded\": d,\n ref: r\n }), u) : e.createElement(m, P({}, c, {\n className: b,\n onClick: t.onClick,\n \"aria-expanded\": d,\n innerRef: r\n }), u);\n });\n }\n }]), a;\n}();\not.propTypes = {\n \"aria-haspopup\": s.bool,\n caret: s.bool,\n children: s.node,\n className: s.string,\n color: s.string,\n disabled: s.bool,\n nav: s.bool,\n onClick: s.func,\n tag: s.oneOfType([s.func, s.string])\n}, ot.defaultProps = {\n \"aria-haspopup\": !0,\n color: \"secondary\"\n}, ot.contextTypes = {\n isOpen: s.bool.isRequired,\n toggle: s.func.isRequired\n};\nvar lt = function (t) {\n var a = t.color,\n r = t.className,\n n = t.tag,\n o = _(t, [\"color\", \"className\", \"tag\"]),\n s = l(\"edge-header\", a, r);\n return e.createElement(n, P({\n \"data-test\": \"edgeHeader\"\n }, o, {\n className: s\n }));\n};\nlt.propTypes = {\n className: s.string,\n color: s.string,\n tag: s.oneOfType([s.func, s.string])\n}, lt.defaultProps = {\n color: \"deep-purple\",\n tag: \"div\"\n};\nvar st = function (t) {\n var a = t.color,\n r = t.children,\n n = t.className,\n o = t.tag,\n s = _(t, [\"color\", \"children\", \"className\", \"tag\"]),\n i = l(\"page-footer\", a && a, n);\n return e.createElement(o, P({\n \"data-test\": \"footer\"\n }, s, {\n className: i\n }), r);\n};\nst.propTypes = {\n children: s.node,\n className: s.string,\n color: s.string,\n tag: s.oneOfType([s.func, s.string])\n}, st.defaultProps = {\n tag: \"footer\"\n};\nvar it = function (a) {\n var r = A(t({}), 2),\n n = r[0],\n o = r[1],\n s = function (e) {\n var t = {\n top: e.clientY,\n left: e.clientX,\n time: Date.now()\n };\n o(t);\n },\n i = a.className,\n c = a.waves,\n d = a.children,\n p = _(a, [\"className\", \"waves\", \"children\"]),\n b = l(\"form-inline\", c && \"Ripple-parent\", i);\n return e.createElement(\"form\", P({\n \"data-test\": \"form-inline\"\n }, p, {\n className: b,\n onMouseDown: s,\n onTouchStart: s\n }), d, c && e.createElement(ce, {\n cursorPos: n\n }));\n};\nit.propTypes = {\n children: s.node,\n className: s.string,\n waves: s.bool\n};\nvar ct = function (t) {\n var a = t.className,\n r = t.tag,\n n = _(t, [\"className\", \"tag\"]),\n o = l(\"container free-bird\", a);\n return e.createElement(r, P({\n \"data-test\": \"freebird\"\n }, n, {\n className: o\n }));\n};\nct.propTypes = {\n className: s.string,\n tag: s.oneOfType([s.func, s.string])\n}, ct.defaultProps = {\n tag: \"div\"\n};\nee(\".hamburger-button__checkbox {\\r\\n display: none;\\r\\n}\\r\\n\\r\\n.hamburger-button__button {\\r\\n background-color: transparent;\\r\\n height: 100%;\\r\\n width: 100%;\\r\\n text-align: center;\\r\\n cursor: pointer;\\r\\n top: -5px;\\r\\n}\\r\\n\\r\\nlabel.hamburger-button__button {\\r\\n margin-bottom: 0;\\r\\n}\\r\\n\\r\\n#nav-icon1 {\\r\\n width: 1.5em;\\r\\n height: 1.5em;\\r\\n position: relative;\\r\\n -webkit-transform: rotate(0deg);\\r\\n -moz-transform: rotate(0deg);\\r\\n -o-transform: rotate(0deg);\\r\\n transform: rotate(0deg);\\r\\n -webkit-transition: .5s ease-in-out;\\r\\n -moz-transition: .5s ease-in-out;\\r\\n -o-transition: .5s ease-in-out;\\r\\n transition: .5s ease-in-out;\\r\\n cursor: pointer;\\r\\n}\\r\\n\\r\\n#nav-icon1 span {\\r\\n display: block;\\r\\n position: absolute;\\r\\n height: 3px;\\r\\n width: 100%;\\r\\n border-radius: 1px;\\r\\n background-color: #fff;\\r\\n opacity: 1;\\r\\n left: 0;\\r\\n -webkit-transform: rotate(0deg);\\r\\n -moz-transform: rotate(0deg);\\r\\n -o-transform: rotate(0deg);\\r\\n transform: rotate(0deg);\\r\\n -webkit-transition: .25s ease-in-out;\\r\\n -moz-transition: .25s ease-in-out;\\r\\n -o-transition: .25s ease-in-out;\\r\\n transition: .25s ease-in-out;\\r\\n}\\r\\n\\r\\n#nav-icon1 span:nth-child(1) {\\r\\n top: 5px;\\r\\n}\\r\\n\\r\\n#nav-icon1 span:nth-child(2) {\\r\\n top: 16px;\\r\\n}\\r\\n\\r\\n#nav-icon1 span:nth-child(3) {\\r\\n top: 27px;\\r\\n}\\r\\n\\r\\n.hamburger-button__checkbox:checked+#nav-icon1 span:nth-child(1) {\\r\\n top: 16px;\\r\\n -webkit-transform: rotate(135deg);\\r\\n -moz-transform: rotate(135deg);\\r\\n -o-transform: rotate(135deg);\\r\\n transform: rotate(135deg);\\r\\n}\\r\\n\\r\\n.hamburger-button__checkbox:checked+#nav-icon1 span:nth-child(2) {\\r\\n opacity: 0;\\r\\n left: -60px;\\r\\n}\\r\\n\\r\\n.hamburger-button__checkbox:checked+#nav-icon1 span:nth-child(3) {\\r\\n top: 16px;\\r\\n -webkit-transform: rotate(-135deg);\\r\\n -moz-transform: rotate(-135deg);\\r\\n -o-transform: rotate(-135deg);\\r\\n transform: rotate(-135deg);\\r\\n}\\r\\n\");\nvar dt = function (t) {\n var a = t.id,\n r = t.color,\n n = t.className,\n o = t.isOpen,\n s = t.onClick,\n i = l(\"hamburger-button__button\", n);\n return e.createElement(e.Fragment, null, e.createElement(\"input\", {\n \"data-test\": \"hamburger-toggler\",\n type: \"checkbox\",\n defaultChecked: o || !1,\n onChange: s,\n className: \"hamburger-button__checkbox\",\n id: a\n }), e.createElement(\"label\", {\n id: \"nav-icon1\",\n className: i,\n htmlFor: a\n }, e.createElement(\"span\", {\n style: {\n background: r\n }\n }), e.createElement(\"span\", {\n style: {\n background: r\n }\n }), e.createElement(\"span\", {\n style: {\n background: r\n }\n })));\n};\ndt.propTypes = {\n className: s.string,\n color: s.string,\n id: s.string\n};\nvar pt = function (t) {\n function r() {\n var e, t;\n E(this, r);\n for (var a = arguments.length, n = new Array(a), o = 0; o < a; o++) n[o] = arguments[o];\n return O(L(t = W(this, (e = M(r)).call.apply(e, [this].concat(n)))), \"state\", {\n stateWidth: \"\",\n stateHeight: \"\",\n ratio: \"\"\n }), O(L(t), \"componentDidMount\", function () {\n var e = t.props.ratio,\n a = t.props,\n r = a.width,\n n = a.height,\n o = 9 / 16;\n if (e) {\n var l = e.split(\"by\")[0] / e.split(\"by\")[1];\n \"number\" == typeof o && (o = l);\n }\n r && n || (r ? n = r * o : n && (r = n * (1 / o)), t.setState(I({}, t.state, {\n width: r,\n height: n,\n ratio: e\n })));\n }), t;\n }\n return B(r, a), R(r, [{\n key: \"render\",\n value: function () {\n var t = this.props,\n a = t.allowFullScreen,\n r = t.className,\n n = t.id,\n o = t.name,\n s = t.onMouseOver,\n i = t.onMouseOut,\n c = t.onLoad,\n d = t.sandbox,\n p = t.src,\n b = t.style,\n u = t.title,\n m = void 0 === u ? \"\" : u,\n h = t.ratio,\n g = t.height,\n f = t.width,\n v = this.state,\n y = v.stateWidth,\n x = v.stateHeight,\n T = l(\"embed-responsive-item\", r),\n k = l(!(g || f) && \"embed-responsive\", h ? \"embed-responsive-\".concat(h) : \"embed-responsive-16by9\"),\n N = {\n src: p,\n id: n || !1,\n frameBorder: \"0\",\n target: \"_parent\",\n allowFullScreen: a || !0,\n height: x || \"100%\",\n name: o || void 0,\n width: y || \"100%\",\n onLoad: c || void 0,\n onMouseOver: s || void 0,\n onMouseOut: i || void 0,\n sandbox: d || void 0,\n style: b || void 0\n };\n return N = Q(N), e.createElement(\"div\", {\n \"data-test\": \"iframe\",\n className: k\n }, e.createElement(\"iframe\", P({\n title: m,\n className: T\n }, N)));\n }\n }]), r;\n}();\npt.propTypes = {\n src: s.string.isRequired,\n allowFullScreen: s.bool,\n className: s.string,\n height: s.number,\n id: s.string,\n name: s.string,\n onLoad: s.func,\n onMouseOut: s.func,\n onMouseOver: s.func,\n ratio: s.string,\n sandbox: s.string,\n styles: s.object,\n title: s.string,\n width: s.number\n};\nvar bt = function (t) {\n function a() {\n var t, r;\n E(this, a);\n for (var n = arguments.length, o = new Array(n), l = 0; l < n; l++) o[l] = arguments[l];\n return O(L(r = W(this, (t = M(a)).call.apply(t, [this].concat(o)))), \"state\", {\n innerValue: r.props.value || r.props.valueDefault,\n isFocused: !1,\n isPristine: !0\n }), O(L(r), \"inputElementRef\", e.createRef()), O(L(r), \"onBlur\", function (e) {\n e.stopPropagation();\n var t = r.props.onBlur;\n r.setState({\n isFocused: !1\n }), t && t(e);\n }), O(L(r), \"onFocus\", function (e) {\n e.stopPropagation();\n var t = r.props.onFocus;\n r.setState({\n isFocused: !0\n }), t && t(e);\n }), O(L(r), \"onChange\", function (e) {\n e.stopPropagation();\n var t = r.props,\n a = t.type,\n n = t.onChange,\n o = t.getValue,\n l = e.target,\n s = l.value,\n i = l.checked;\n \"checkbox\" !== a && \"radio\" !== a ? (r.setState({\n innerValue: s,\n isPristine: !1\n }), o && o(s)) : o && o(i), n && n(e);\n }), O(L(r), \"onInput\", function (e) {\n e.stopPropagation();\n var t = r.props,\n a = t.type,\n n = t.onInput;\n \"checkbox\" !== a && \"radio\" !== a && r.setState({\n innerValue: e.target.value,\n isPristine: !1\n }), n && n(e);\n }), O(L(r), \"setFocus\", function () {\n r.inputElementRef.current.focus();\n }), r;\n }\n return B(a, e.Component), R(a, [{\n key: \"componentDidMount\",\n value: function () {\n var e = this,\n t = this.props,\n a = t.inputRef,\n r = t.focused,\n n = t.indeterminate,\n o = t.selectInnerRef;\n a && a(this.inputElementRef.current), o && o(this.inputElementRef), !0 === r && this.setState({\n isFocused: r\n }, function () {\n e.setFocus();\n }), n && (this.inputElementRef.current.indeterminate = !0);\n }\n }, {\n key: \"render\",\n value: function () {\n var t = this,\n a = this.props,\n r = a.background,\n n = a.children,\n o = a.className,\n s = a.containerClass,\n i = a.dataTest,\n c = a.disabled,\n d = a.error,\n p = a.filled,\n b = (a.focused, a.gap),\n u = (a.getValue, a.group),\n m = a.hint,\n h = a.icon,\n g = a.iconBrand,\n f = a.iconClass,\n v = a.iconLight,\n y = a.iconRegular,\n x = a.iconSize,\n T = a.id,\n k = (a.indeterminate, a.inputRef, a.isControlled),\n N = (a.selectInnerRef, a.noTag),\n w = a.outline,\n C = a.label,\n E = a.labelClass,\n S = a.labelId,\n R = a.labelStyles,\n O = a.onIconClick,\n D = a.onIconMouseEnter,\n I = a.onIconMouseLeave,\n B = a.size,\n M = a.success,\n q = a.tag,\n L = a.type,\n W = a.validate,\n A = (a.value, a.valueDefault, _(a, [\"background\", \"children\", \"className\", \"containerClass\", \"dataTest\", \"disabled\", \"error\", \"filled\", \"focused\", \"gap\", \"getValue\", \"group\", \"hint\", \"icon\", \"iconBrand\", \"iconClass\", \"iconLight\", \"iconRegular\", \"iconSize\", \"id\", \"indeterminate\", \"inputRef\", \"isControlled\", \"selectInnerRef\", \"noTag\", \"outline\", \"label\", \"labelClass\", \"labelId\", \"labelStyles\", \"onIconClick\", \"onIconMouseEnter\", \"onIconMouseLeave\", \"size\", \"success\", \"tag\", \"type\", \"validate\", \"value\", \"valueDefault\"])),\n j = this.state,\n F = j.innerValue,\n H = j.isFocused,\n z = (!!F || !!m || H || 0 === F) && \"checkbox\" !== L && \"radio\" !== L,\n V = \"\",\n X = \"\";\n \"textarea\" === L ? (X = w ? \"form-control\" : \"md-textarea form-control\", V = \"textarea\") : (X = \"form-control\", V = \"input\", A.type = L), A.disabled = c;\n var Y = l(X, !!B && \"form-control-\".concat(B), !!W && \"validate\", !!p && \"filled-in\", !!b && \"with-gap\", \"checkbox\" === L && !b && \"form-check-input\", \"radio\" === L && \"form-check-input\", o),\n U = l(\"checkbox\" === L || \"radio\" === L ? \"boolean\" == typeof C && C ? \"d-flex\" : \"form-check\" : \"md-form\", !!u && \"form-group\", !!B && \"form-\".concat(B), w && \"md-outline\", r && \"md-bg\", s),\n G = l(!(!z || !H) && \"active\", f, \"prefix\"),\n J = l(!!(z && !k || m) && \"active\", !!c && \"disabled\", \"checkbox\" === L && \"form-check-label\", \"radio\" === L && \"form-check-label\", E),\n K = function () {\n return e.createElement(e.Fragment, null, h && e.createElement($, {\n icon: h,\n size: x,\n brand: g,\n light: v,\n regular: y,\n className: G,\n onClick: O || t.setFocus,\n onMouseEnter: D,\n onMouseLeave: I\n }), e.createElement(V, P({\n \"data-test\": i\n }, A, {\n className: Y,\n id: T,\n placeholder: m,\n ref: t.inputElementRef,\n value: F,\n onBlur: t.onBlur,\n onChange: t.onChange,\n onInput: t.onInput,\n onFocus: t.onFocus,\n \"aria-disabled\": c\n })), C && e.createElement(\"label\", {\n className: J,\n htmlFor: T,\n \"data-error\": d,\n \"data-success\": M,\n id: S,\n onClick: t.setFocus,\n style: R,\n \"aria-labelledby\": S\n }, C), n);\n };\n return N ? K() : e.createElement(q, {\n className: U\n }, K());\n }\n }], [{\n key: \"getDerivedStateFromProps\",\n value: function (e, t) {\n return e.value !== t.value ? {\n innerValue: e.value\n } : null;\n }\n }]), a;\n}();\nbt.propTypes = {\n children: s.node,\n className: s.string,\n containerClass: s.string,\n dataTest: s.string,\n disabled: s.bool,\n error: s.string,\n filled: s.bool,\n focused: s.oneOfType([s.bool, s.string]),\n gap: s.bool,\n getValue: s.func,\n group: s.bool,\n hint: s.string,\n icon: s.string,\n iconBrand: s.bool,\n iconClass: s.string,\n iconLight: s.bool,\n iconRegular: s.bool,\n iconSize: s.string,\n id: s.string,\n indeterminate: s.bool,\n inputRef: s.oneOfType([s.object, s.func]),\n isControlled: s.bool,\n label: s.oneOfType([s.string, s.number, s.object, s.bool]),\n labelClass: s.string,\n labelId: s.string,\n labelStyles: s.object,\n noTag: s.bool,\n onBlur: s.func,\n onChange: s.func,\n onFocus: s.func,\n onIconClick: s.func,\n onIconMouseEnter: s.func,\n onIconMouseLeave: s.func,\n onInput: s.func,\n outline: s.bool,\n size: s.string,\n success: s.string,\n tag: s.oneOfType([s.func, s.string]),\n type: s.string,\n validate: s.bool,\n value: s.oneOfType([s.number, s.string, s.bool]),\n valueDefault: s.oneOfType([s.number, s.string])\n}, bt.defaultProps = {\n className: \"\",\n containerClass: \"\",\n dataTest: \"input\",\n disabled: !1,\n error: \"\",\n filled: !1,\n gap: !1,\n group: !1,\n hint: void 0,\n icon: \"\",\n iconBrand: !1,\n focused: !1,\n indeterminate: !1,\n iconClass: \"\",\n iconLight: !1,\n onIconMouseEnter: function () {},\n onIconMouseLeave: function () {},\n iconRegular: !1,\n iconSize: void 0,\n id: void 0,\n isControlled: !1,\n noTag: !1,\n outline: !1,\n label: \" \",\n labelClass: \"\",\n labelId: \"\",\n size: \"\",\n success: \"\",\n tag: \"div\",\n type: \"text\",\n validate: !1,\n valueDefault: \"\"\n};\nvar ut = function (t) {\n var a = t.append,\n r = t.appendClassName,\n n = t.ariaLabel,\n o = t.children,\n s = t.className,\n i = t.containerClassName,\n c = t.containerId,\n d = t.hint,\n p = t.id,\n b = t.inputs,\n u = (t.inputTag, t.label),\n m = t.labelClassName,\n h = t.material,\n g = t.prepend,\n f = t.prependClassName,\n v = t.size,\n y = t.tag,\n x = t.textClassName,\n T = t.type,\n k = t.value,\n N = t.valueDefault,\n w = t.getValue,\n C = t.onChange,\n E = _(t, [\"append\", \"appendClassName\", \"ariaLabel\", \"children\", \"className\", \"containerClassName\", \"containerId\", \"hint\", \"id\", \"inputs\", \"inputTag\", \"label\", \"labelClassName\", \"material\", \"prepend\", \"prependClassName\", \"size\", \"tag\", \"textClassName\", \"type\", \"value\", \"valueDefault\", \"getValue\", \"onChange\"]),\n S = l(\"input-group\", h && \"md-form\", v && \"input-group-\".concat(v), i),\n R = l(s),\n O = l(\"input-group-prepend\", f),\n D = l(\"input-group-append\", r),\n I = l(\"input-group-text\", h && \"md-addon\", x);\n return e.createElement(e.Fragment, null, u && e.createElement(\"label\", {\n htmlFor: p,\n className: m\n }, u), e.createElement(y, P({\n \"data-test\": \"input-group\"\n }, E, {\n className: S,\n id: c\n }), g && e.createElement(\"div\", {\n className: O\n }, \"string\" == typeof g ? e.createElement(\"span\", {\n className: I\n }, g) : g), b || e.createElement(bt, {\n noTag: !0,\n type: T,\n className: R,\n id: p,\n value: k,\n valueDefault: N,\n hint: d,\n \"aria-label\": n,\n onChange: function (e) {\n e.persist(), C && C(e), w && w(e.target.value);\n }\n }), a && e.createElement(\"div\", {\n className: D\n }, \"string\" == typeof a ? e.createElement(\"span\", {\n className: I\n }, a) : a), o));\n};\nut.propTypes = {\n append: s.oneOfType([s.node, s.string]),\n appendClassNames: s.string,\n ariaLabel: s.string,\n children: s.node,\n className: s.string,\n containerClassName: s.string,\n containerId: s.string,\n getValue: s.func,\n hint: s.string,\n id: s.string,\n inputs: s.node,\n label: s.string,\n labelClassName: s.string,\n material: s.bool,\n onChange: s.func,\n prepend: s.any,\n prependClassName: s.string,\n size: s.string,\n tag: s.oneOfType([s.func, s.string]),\n textClassName: s.string,\n type: s.string,\n value: s.string,\n valueDefault: s.string\n}, ut.defaultProps = {\n tag: \"div\",\n type: \"text\"\n};\nvar mt = function (t) {\n var a = t.className,\n r = (t.getValue, _(t, [\"className\", \"getValue\"])),\n n = l(\"form-control\", a);\n return e.createElement(x, P({\n \"data-test\": \"input-numeric\"\n }, r, {\n onChange: function (e) {\n t.getValue && t.getValue(e);\n },\n className: n\n }));\n};\nmt.propTypes = {\n className: s.string,\n getValue: s.func\n};\nvar ht = function (t) {\n var a = t.className,\n r = t.children,\n n = t.fluid,\n o = _(t, [\"className\", \"children\", \"fluid\"]),\n s = l(\"jumbotron\", !!n && \"jumbotron-fluid\", a);\n return e.createElement(\"div\", P({\n \"data-test\": \"jumbotron\"\n }, o, {\n className: s\n }), r);\n};\nht.propTypes = {\n children: s.node,\n className: s.string,\n fluid: s.bool\n};\nvar gt = function (a) {\n var r = A(t({}), 2),\n n = r[0],\n o = r[1],\n s = a.active,\n i = a.children,\n c = a.className,\n d = a.disabled,\n p = (a.link, a.to),\n b = _(a, [\"active\", \"children\", \"className\", \"disabled\", \"link\", \"to\"]),\n u = l(\"nav-link\", d ? \"disabled\" : \"Ripple-parent\", s && \"active\", c),\n m = function (e) {\n if (!d) {\n e.stopPropagation();\n var t = {\n top: e.clientY,\n left: e.clientX,\n time: Date.now()\n };\n o(t);\n }\n };\n return e.createElement(T, P({\n \"data-test\": \"link-router\",\n className: u,\n onMouseUp: m,\n onTouchStart: m,\n to: p\n }, b), i, !d && e.createElement(ce, {\n cursorPos: n\n }));\n};\ngt.propTypes = {\n active: s.bool,\n children: s.node,\n className: s.string,\n disabled: s.bool,\n to: s.string\n}, gt.defaultProps = {\n active: !1,\n className: \"\",\n disabled: !1\n};\nvar ft = function (t) {\n var a = t.children,\n r = t.className,\n n = t.tag,\n o = _(t, [\"children\", \"className\", \"tag\"]),\n s = l(\"list-group\", r);\n return e.createElement(n, P({\n \"data-test\": \"list-group\"\n }, o, {\n className: s\n }), a);\n};\nft.propTypes = {\n children: s.node,\n className: s.string,\n tag: s.oneOfType([s.func, s.string])\n}, ft.defaultProps = {\n tag: \"ul\"\n};\nvar vt = function (t) {\n var a,\n r = t.active,\n n = t.children,\n o = t.className,\n s = t.color,\n i = t.disabled,\n c = t.hover,\n d = (t.success, t.info, t.warning, t.danger, t.tag),\n p = _(t, [\"active\", \"children\", \"className\", \"color\", \"disabled\", \"hover\", \"success\", \"info\", \"warning\", \"danger\", \"tag\"]),\n b = l(\"list-group-item\", o, (O(a = {\n active: r,\n disabled: i\n }, \"list-group-item-\".concat(s), \" color\"), O(a, \"list-group-item-action\", c), a));\n return p.href && \"li\" === d && (d = \"a\"), e.createElement(d, P({\n \"data-test\": \"list-group-item\"\n }, p, {\n className: b\n }), n);\n};\nvt.propTypes = {\n active: s.bool,\n children: s.node,\n className: s.string,\n color: s.oneOf([\"primary\", \"secondary\", \"success\", \"danger\", \"warning\", \"info\", \"light\", \"dark\"]),\n danger: s.bool,\n disabled: s.bool,\n hover: s.bool,\n info: s.bool,\n success: s.bool,\n tag: s.oneOfType([s.func, s.string]),\n warning: s.bool\n}, vt.defaultProps = {\n tag: \"li\"\n};\nvar yt = function (t) {\n var a,\n r = t.body,\n n = t.bottom,\n o = t.className,\n s = t.heading,\n i = t.left,\n c = t.list,\n d = t.middle,\n p = t.object,\n b = t.right,\n u = t.round,\n m = t.thumbnail,\n h = t.figure,\n g = t.figImg,\n f = t.figCap,\n v = t.figCapRight,\n y = t.figCapLeft,\n x = t.tag,\n T = t.top,\n k = _(t, [\"body\", \"bottom\", \"className\", \"heading\", \"left\", \"list\", \"middle\", \"object\", \"right\", \"round\", \"thumbnail\", \"figure\", \"figImg\", \"figCap\", \"figCapRight\", \"figCapLeft\", \"tag\", \"top\"]);\n a = s ? \"h4\" : i || b ? \"a\" : p || g ? \"img\" : c ? \"ul\" : h ? \"figure\" : f || v || y ? \"figcaption\" : \"div\";\n var N = x || a,\n w = l({\n \"media-body\": r,\n \"mt-0\": s,\n \"media-left\": i,\n \"media-right\": b,\n \"align-self-start\": T,\n \"align-self-center\": d,\n \"align-self-end\": n,\n \"media-object\": p,\n \"img-thumbnail\": m,\n \"media-list\": c,\n figure: h,\n \"figure-img\": g,\n \"figure-caption text-center\": f,\n \"figure-caption text-right\": v,\n \"figure-caption text-left\": y,\n \"rounded-circle z-depth-1-half\": u\n }, !(r || s || i || b || T || n || d || p || c || f || v || v || g || h) && \"media\", o);\n return e.createElement(N, P({\n \"data-test\": \"media\"\n }, k, {\n className: w\n }));\n};\nyt.propTypes = {\n body: s.bool,\n bottom: s.bool,\n children: s.node,\n className: s.string,\n figCap: s.bool,\n figCapLeft: s.bool,\n figCapRight: s.bool,\n figImg: s.bool,\n figure: s.bool,\n heading: s.bool,\n left: s.bool,\n list: s.bool,\n middle: s.bool,\n object: s.bool,\n right: s.bool,\n round: s.bool,\n tag: s.oneOfType([s.func, s.string]),\n thumbnail: s.bool,\n top: s.bool\n};\nee(\".overflow-y-scroll {\\r\\n overflow-y: scroll !important;\\r\\n}\\r\\n\");\nvar xt = function (t) {\n function r() {\n var t, a;\n E(this, r);\n for (var n = arguments.length, o = new Array(n), l = 0; l < n; l++) o[l] = arguments[l];\n return O(L(a = W(this, (t = M(r)).call.apply(t, [this].concat(o)))), \"state\", {\n initialIsOpen: a.props.isOpen || !1\n }), O(L(a), \"modalContent\", e.createRef()), O(L(a), \"componentDidMount\", function () {\n document.body.classList.add(\"modal-open\");\n }), O(L(a), \"componentWillUnmount\", function () {\n document.body.classList.remove(\"modal-open\");\n }), O(L(a), \"componentDidUpdate\", function (e, t) {\n var r = a.props,\n n = r.isOpen,\n o = r.overflowScroll ? \"overflow-y-scroll\" : \"overflow-hidden\";\n t.initialIsOpen !== n && a.setState({\n initialIsOpen: n\n }, function () {\n n ? document.body.classList.add(o) : document.body.classList.remove(o);\n });\n }), O(L(a), \"handleOnEntered\", function (e, t) {\n \"backdrop\" === e && !1 === a.props.fade || (t.classList.add(\"show\"), a.props.autoFocus && t.focus(), \"modal\" === e && a.props.showModal && a.props.showModal());\n }), O(L(a), \"handleOnExit\", function (e, t) {\n \"backdrop\" === e && !1 === a.props.fade || (t.classList.remove(\"show\"), \"modal\" === e && a.props.hideModal && a.props.hideModal());\n }), O(L(a), \"handleOnExited\", function () {\n a.props.hiddenModal && a.props.hiddenModal();\n }), O(L(a), \"handleBackdropClick\", function (e) {\n !a.props.backdrop || e.target.closest('[role=\"dialog\"]') && !e.target.classList.contains(\"modal\") || e.clientX > e.target.clientWidth || e.clientY > e.target.clientHeight || a.modalContent.contains(e.target) || a.props.disableBackdrop || a.props.toggle();\n }), O(L(a), \"handleEscape\", function (e) {\n a.props.keyboard && 27 === e.keyCode && (e.preventDefault(), a.props.toggle());\n }), a;\n }\n return B(r, a), R(r, [{\n key: \"render\",\n value: function () {\n var t,\n a = this,\n r = this.props,\n n = r.animation,\n o = r.backdrop,\n s = r.backdropClassName,\n c = r.backdropTransitionTimeout,\n d = r.cascading,\n p = r.centered,\n b = r.children,\n u = r.className,\n m = r.contentClassName,\n h = r.disableFocusTrap,\n g = r.fade,\n f = r.frame,\n v = r.fullHeight,\n y = r.id,\n x = r.inline,\n T = (r.isOpen, r.keyboard, r.modalStyle),\n k = r.modalStylesWithoutBackdrop,\n w = r.modalTransitionTimeout,\n C = r.noClickableBodyWithoutBackdrop,\n E = (r.overflowScroll, r.position),\n S = r.role,\n R = r.side,\n D = r.size,\n B = r.tabIndex,\n M = (r.toggle, r.wrapClassName),\n q = r.wrapperStyles,\n L = (r.zIndex, _(r, [\"animation\", \"backdrop\", \"backdropClassName\", \"backdropTransitionTimeout\", \"cascading\", \"centered\", \"children\", \"className\", \"contentClassName\", \"disableFocusTrap\", \"fade\", \"frame\", \"fullHeight\", \"id\", \"inline\", \"isOpen\", \"keyboard\", \"modalStyle\", \"modalStylesWithoutBackdrop\", \"modalTransitionTimeout\", \"noClickableBodyWithoutBackdrop\", \"overflowScroll\", \"position\", \"role\", \"side\", \"size\", \"tabIndex\", \"toggle\", \"wrapClassName\", \"wrapperStyles\", \"zIndex\"])),\n W = this.state.initialIsOpen,\n A = g ? w : 0,\n j = g ? c : 0,\n F = I({\n position: \"fixed\"\n }, \"bottom-right\" === E ? {\n top: \"auto\",\n bottom: 10,\n right: 10,\n left: \"auto\"\n } : \"bottom-left\" === E ? {\n top: \"auto\",\n bottom: 10,\n right: \"auto\",\n left: 10\n } : \"top-right\" === E ? {\n top: 10,\n bottom: \"auto\",\n right: 10,\n left: \"auto\"\n } : \"top-left\" === E ? {\n top: 10,\n bottom: \"auto\",\n right: \"auto\",\n left: 10\n } : \"right\" === E ? {\n right: 0\n } : \"left\" === E ? {\n left: 0\n } : \"bottom\" === E ? {\n bottom: 0\n } : \"top\" === E ? {\n top: 0\n } : {\n top: 0,\n bottom: 0,\n right: 0,\n left: 0\n }, {}, k),\n H = !o && W && !C,\n z = l((O(t = {\n \"cascading-modal\": d,\n \"modal-side\": R,\n \"modal-full-height\": v,\n \"modal-frame\": f,\n \"modal-dialog-centered\": p\n }, \"modal-\".concat(D), D), O(t, \"modal-\".concat(E), E), O(t, \"modal-notify white-text modal-\".concat(T), T), t), \"modal-dialog\", u),\n V = E.split(\"-\"),\n X = l({\n modal: !x,\n fade: g,\n top: g && !n && !E,\n animation: g && n\n }, g && E && E && V.length > 1 ? V[1] : V[0], M),\n Y = l(\"modal-backdrop\", g ? \"fade\" : \"show\", s),\n U = l(\"modal-content\", m),\n G = Q(I({\n style: {\n display: \"block\",\n position: H && \"fixed\",\n width: H && 0\n },\n id: y,\n tabIndex: B,\n role: S,\n \"aria-hidden\": \"true\"\n }, L)),\n J = H ? F : {},\n K = e.createElement(\"div\", P({\n \"data-test\": \"modal\",\n onKeyUp: this.handleEscape,\n className: X,\n style: q\n }, G), e.createElement(\"div\", {\n style: J,\n className: z,\n role: \"document\"\n }, e.createElement(\"div\", {\n ref: function (e) {\n return a.modalContent = e;\n },\n className: U\n }, b)));\n return e.createElement(e.Fragment, null, o && e.createElement(i, {\n timeout: j,\n in: W,\n appear: W,\n mountOnEnter: !0,\n unmountOnExit: !0,\n onEntered: function (e) {\n return a.handleOnEntered(\"backdrop\", e);\n },\n onExit: function (e) {\n return a.handleOnExit(\"backdrop\", e);\n },\n onExited: this.handleOnExited\n }, e.createElement(\"div\", {\n className: Y\n })), e.createElement(i, {\n timeout: A,\n in: W,\n appear: W,\n mountOnEnter: !0,\n unmountOnExit: !0,\n onMouseDown: function (e) {\n return a.handleBackdropClick(e);\n },\n onEntered: function (e) {\n return a.handleOnEntered(\"modal\", e);\n },\n onExit: function (e) {\n return a.handleOnExit(\"modal\", e);\n }\n }, h ? K : e.createElement(N, null, K)));\n }\n }]), r;\n}();\nxt.defaultProps = {\n autoFocus: !0,\n backdrop: !0,\n backdropTransitionTimeout: 150,\n disableBackdrop: !1,\n disableFocusTrap: !0,\n fade: !0,\n isOpen: !1,\n keyboard: !0,\n modalTransitionTimeout: 300,\n overflowScroll: !0,\n position: \"\",\n role: \"dialog\",\n tabIndex: \"-1\",\n zIndex: 1050,\n noClickableBodyWithoutBackdrop: !1\n}, xt.propTypes = {\n animation: s.string,\n autoFocus: s.bool,\n backdrop: s.bool,\n backdropClassName: s.string,\n backdropTransitionTimeout: s.number,\n cascading: s.bool,\n centered: s.bool,\n children: s.node,\n className: s.string,\n contentClassName: s.string,\n disableBackdrop: s.bool,\n disableFocusTrap: s.bool,\n fade: s.bool,\n frame: s.bool,\n fullHeight: s.bool,\n hiddenModal: s.func,\n hideModal: s.func,\n id: s.string,\n inline: s.bool,\n isOpen: s.bool,\n keyboard: s.bool,\n modalClassName: s.string,\n modalStyle: s.string,\n modalStylesWithoutBackdrop: s.object,\n modalTransitionTimeout: s.number,\n noClickableBodyWithoutBackdrop: s.bool,\n overflowScroll: s.bool,\n position: s.string,\n role: s.string,\n showModal: s.func,\n side: s.bool,\n size: s.string,\n tabIndex: s.string,\n toggle: s.func,\n wrapClassName: s.string,\n wrapperStyles: s.object,\n zIndex: s.oneOfType([s.number, s.string])\n};\nvar Tt = function (t) {\n var a = t.className,\n r = t.children,\n n = _(t, [\"className\", \"children\"]),\n o = l(\"modal-body\", a);\n return e.createElement(\"div\", P({\n \"data-test\": \"modal-body\"\n }, n, {\n className: o\n }), r);\n};\nTt.propTypes = {\n children: s.node,\n className: s.string\n};\nvar kt = function (t) {\n var a = t.className,\n r = t.children,\n n = t.center,\n o = t.start,\n s = t.end,\n i = t.around,\n c = t.between,\n d = _(t, [\"className\", \"children\", \"center\", \"start\", \"end\", \"around\", \"between\"]),\n p = l(\"modal-footer\", a, {\n \"justify-content-start\": o,\n \"justify-content-end\": s,\n \"justify-content-center\": n,\n \"justify-content-between\": c,\n \"justify-content-around\": i\n });\n return e.createElement(\"div\", P({\n \"data-test\": \"modal-footer\"\n }, d, {\n className: p\n }), r);\n};\nkt.propTypes = {\n children: s.node,\n className: s.string\n};\nvar Nt = function (t) {\n var a,\n r = t.className,\n n = t.children,\n o = t.toggle,\n s = t.tag,\n i = t.closeAriaLabel,\n c = t.titleClass,\n d = _(t, [\"className\", \"children\", \"toggle\", \"tag\", \"closeAriaLabel\", \"titleClass\"]),\n p = l(\"modal-header\", r),\n b = l(\"modal-title\", c);\n return o && (a = e.createElement(\"button\", {\n type: \"button\",\n onClick: o,\n className: \"close\",\n \"aria-label\": i\n }, e.createElement(\"span\", {\n \"aria-hidden\": \"true\"\n }, String.fromCharCode(215)))), e.createElement(\"div\", P({\n \"data-test\": \"modal-header\"\n }, d, {\n className: p\n }), e.createElement(s, {\n className: b\n }, n), a);\n};\nNt.propTypes = {\n children: s.node,\n className: s.string,\n closeAriaLabel: s.string,\n tag: s.oneOfType([s.func, s.string]),\n toggle: s.func\n}, Nt.defaultProps = {\n tag: \"h4\",\n closeAriaLabel: \"Close\"\n};\nvar wt = function (t) {\n var a = t.children,\n r = t.className,\n n = t.tag,\n o = t.tabs,\n s = t.color,\n i = t.classicTabs,\n c = t.pills,\n d = t.header,\n p = _(t, [\"children\", \"className\", \"tag\", \"tabs\", \"color\", \"classicTabs\", \"pills\", \"header\"]),\n b = l(\"nav\", o && \"md-tabs\", c && \"md-pills\", d && \"nav-pills card-header-pills\", !(!s || o || i || c) && s, !(!c || !s) && \"pills-\".concat(s), !(!o && !i || !s) && \"tabs-\".concat(s), r);\n return e.createElement(n, P({\n \"data-test\": \"nav\"\n }, p, {\n className: b\n }), a);\n};\nwt.propTypes = {\n children: s.node,\n classicTabs: s.bool,\n className: s.string,\n color: s.string,\n header: s.bool,\n pills: s.bool,\n tabs: s.bool,\n tag: s.oneOfType([s.func, s.string])\n}, wt.defaultProps = {\n tag: \"ul\",\n classicTabs: !1,\n pills: !1,\n tabs: !1,\n header: !1\n};\nvar Ct = function (t) {\n function r() {\n var e, t;\n E(this, r);\n for (var a = arguments.length, n = new Array(a), o = 0; o < a; o++) n[o] = arguments[o];\n return O(L(t = W(this, (e = M(r)).call.apply(e, [this].concat(n)))), \"state\", {\n isCollapsed: !1\n }), O(L(t), \"handleScroll\", function () {\n var e = t.props.scrollingNavbarOffset || 50;\n window.pageYOffset > e ? t.setState({\n isCollapsed: !0\n }) : t.setState({\n isCollapsed: !1\n });\n }), t;\n }\n return B(r, a), R(r, [{\n key: \"componentDidMount\",\n value: function () {\n var e = this.props,\n t = e.scrolling,\n a = e.scrollingNavbarOffset;\n (t || a) && window.addEventListener(\"scroll\", this.handleScroll);\n }\n }, {\n key: \"componentWillUnmount\",\n value: function () {\n var e = this.props,\n t = e.scrolling,\n a = e.scrollingNavbarOffset;\n (t || a) && window.removeEventListener(\"scroll\", this.handleScroll);\n }\n }, {\n key: \"render\",\n value: function () {\n var t,\n a = this.props,\n r = a.expand,\n n = a.light,\n o = a.dark,\n s = a.sticky,\n i = a.fixed,\n c = a.scrolling,\n d = a.color,\n p = a.className,\n b = a.scrollingNavbarOffset,\n u = a.tag,\n m = a.double,\n h = a.transparent,\n g = _(a, [\"expand\", \"light\", \"dark\", \"sticky\", \"fixed\", \"scrolling\", \"color\", \"className\", \"scrollingNavbarOffset\", \"tag\", \"double\", \"transparent\"]),\n f = this.state.isCollapsed,\n v = l((O(t = {\n \"navbar-light\": n,\n \"navbar-dark\": o\n }, \"sticky-\".concat(s), s), O(t, \"fixed-\".concat(i), i), O(t, \"scrolling-navbar\", c || b), O(t, \"double-nav\", m), O(t, \"top-nav-collapse\", f), O(t, \"\".concat(d), d && h ? f : d), t), \"navbar\", function (e) {\n return !1 !== e && (!0 === e || \"xs\" === e ? \"navbar-expand\" : \"navbar-expand-\".concat(e));\n }(r), p);\n return e.createElement(u, P({\n \"data-test\": \"navbar\"\n }, g, {\n className: v,\n role: \"navigation\"\n }));\n }\n }]), r;\n}();\nCt.propTypes = {\n className: s.string,\n color: s.string,\n dark: s.bool,\n double: s.bool,\n expand: s.oneOfType([s.bool, s.string]),\n fixed: s.string,\n light: s.bool,\n scrolling: s.bool,\n scrollingNavbarOffset: s.number,\n sticky: s.string,\n tag: s.oneOfType([s.func, s.string]),\n transparent: s.bool\n}, Ct.defaultProps = {\n tag: \"nav\",\n expand: !1,\n scrolling: !1\n};\nvar Et = function (t) {\n var a = t.className,\n r = t.href,\n n = _(t, [\"className\", \"href\"]),\n o = l(\"navbar-brand\", a);\n return r ? e.createElement(k, P({\n \"data-test\": \"navbar-brand\",\n to: r\n }, n, {\n className: o\n })) : e.createElement(\"div\", P({\n \"data-test\": \"navbar-brand\"\n }, n, {\n className: o\n }));\n};\nEt.propTypes = {\n className: s.string,\n href: s.string\n};\nvar St = function (t) {\n var a = t.children,\n r = t.className,\n n = t.right,\n o = t.left,\n s = t.tag,\n i = _(t, [\"children\", \"className\", \"right\", \"left\", \"tag\"]),\n c = l(\"navbar-nav\", n ? \"ml-auto\" : o ? \"mr-auto\" : \"justify-content-around w-100\", r);\n return e.createElement(s, P({\n \"data-test\": \"navbar-nav\"\n }, i, {\n className: c\n }), a);\n};\nSt.propTypes = {\n children: s.node,\n className: s.string,\n left: s.bool,\n right: s.bool,\n tag: s.oneOfType([s.func, s.string])\n}, St.defaultProps = {\n tag: \"ul\"\n};\nvar Rt = function (t) {\n var a = t.right,\n r = t.left,\n n = t.children,\n o = t.className,\n s = t.tag,\n i = t.image,\n c = _(t, [\"right\", \"left\", \"children\", \"className\", \"tag\", \"image\"]),\n d = l({\n \"navbar-toggler-right\": a,\n \"navbar-toggler-left\": r\n }, \"navbar-toggler\", o);\n return e.createElement(s, P({\n \"data-test\": \"navbar-toggler\"\n }, c, {\n className: d\n }), n || (i ? e.createElement(\"span\", {\n className: \"navbar-toggler-icon\",\n style: {\n backgroundImage: 'url(\"'.concat(i, '\")')\n }\n }) : e.createElement(\"span\", {\n className: \"navbar-toggler-icon\"\n })));\n};\nRt.propTypes = {\n children: s.node,\n className: s.string,\n image: s.string,\n left: s.bool,\n right: s.bool,\n tag: s.oneOfType([s.func, s.string]),\n type: s.string\n}, Rt.defaultProps = {\n tag: \"button\",\n type: \"button\"\n};\nvar Ot = function (t) {\n var a = t.children,\n r = t.className,\n n = t.active,\n o = t.text,\n s = t.tag,\n i = _(t, [\"children\", \"className\", \"active\", \"text\", \"tag\"]),\n c = l(\"nav-item\", n && \"active\", o && \"navbar-text\", r);\n return e.createElement(s, P({\n \"data-test\": \"nav-item\"\n }, i, {\n className: c\n }), a);\n};\nOt.propTypes = {\n active: s.bool,\n children: s.node,\n className: s.string,\n tag: s.oneOfType([s.func, s.string])\n}, Ot.defaultProps = {\n tag: \"li\"\n};\nvar Pt = function (a) {\n var r = A(t({}), 2),\n n = r[0],\n o = r[1],\n s = a.children,\n i = a.className,\n c = a.disabled,\n d = a.active,\n p = a.to,\n b = a.link,\n u = _(a, [\"children\", \"className\", \"disabled\", \"active\", \"to\", \"link\"]),\n m = l(\"nav-link\", c ? \"disabled\" : \"Ripple-parent\", d && \"active\", i),\n h = function (e) {\n if (!c) {\n e.stopPropagation();\n var t = {\n top: e.clientY,\n left: e.clientX,\n time: Date.now()\n };\n o(t);\n }\n },\n g = b ? gt : k;\n return e.createElement(g, P({\n \"data-test\": \"nav-link\",\n className: m,\n onMouseUp: h,\n onTouchStart: h,\n to: p\n }, u), s, !c && e.createElement(ce, {\n cursorPos: n\n }));\n};\nPt.propTypes = {\n active: s.bool,\n children: s.node,\n className: s.string,\n disabled: s.bool,\n link: s.bool,\n to: s.string\n}, Pt.defaultProps = {\n active: !1,\n className: \"\",\n disabled: !1,\n link: !1\n};\nvar Dt = function (t) {\n function a() {\n var e, t;\n E(this, a);\n for (var r = arguments.length, n = new Array(r), o = 0; o < r; o++) n[o] = arguments[o];\n return O(L(t = W(this, (e = M(a)).call.apply(e, [this].concat(n)))), \"state\", {\n componentState: t.props.show ? \"show\" : \"hide\"\n }), O(L(t), \"hide\", function () {\n var e = arguments.length > 0 && void 0 !== arguments[0] ? arguments[0] : 0;\n \"object\" === C(e) && (e = 0), setTimeout(function () {\n t.setState({\n componentState: \"\"\n }, function () {\n setTimeout(function () {\n t.setState({\n componentState: \"hide\"\n });\n }, 150);\n });\n }, e);\n }), t;\n }\n return B(a, e.Component), R(a, [{\n key: \"componentDidMount\",\n value: function () {\n var e = this.props.autohide;\n e > 0 && this.hide(e);\n }\n }, {\n key: \"render\",\n value: function () {\n var t = this.props,\n a = t.tag,\n r = t.className,\n n = (t.show, t.fade),\n o = t.message,\n s = t.bodyClassName,\n i = t.icon,\n c = t.iconClassName,\n d = t.title,\n p = t.titleClassName,\n b = t.text,\n u = t.closeClassName,\n m = _(t, [\"tag\", \"className\", \"show\", \"fade\", \"message\", \"bodyClassName\", \"icon\", \"iconClassName\", \"title\", \"titleClassName\", \"text\", \"closeClassName\"]),\n h = this.state.componentState,\n g = l(\"toast\", n && \"fade\", h, r),\n f = l(\"toast-header\", p),\n v = l(\"mr-2\", c),\n y = l(\"toast-body\", s),\n x = l(\"ml-2\", \"mb-1\", u);\n return e.createElement(a, P({\n \"data-test\": \"notification\"\n }, m, {\n className: g\n }), e.createElement(\"div\", {\n className: f\n }, e.createElement($, {\n icon: i,\n className: v,\n size: \"lg\"\n }), e.createElement(\"strong\", {\n className: \"mr-auto\"\n }, d), e.createElement(\"small\", null, b), e.createElement(Ne, {\n className: x,\n onClick: this.hide\n })), e.createElement(\"div\", {\n className: y\n }, o));\n }\n }]), a;\n}();\nDt.propTypes = {\n autohide: s.number,\n bodyClassName: s.string,\n bodyColor: s.string,\n className: s.string,\n closeClassName: s.string,\n fade: s.bool,\n iconClassName: s.string,\n message: s.string,\n show: s.bool,\n tag: s.oneOfType([s.func, s.string]),\n text: s.string,\n title: s.string,\n titleClassName: s.string,\n titleColor: s.string\n}, Dt.defaultProps = {\n icon: \"square\",\n tag: \"div\",\n closeClassName: \"text-dark\"\n};\nee('.popover {\\r\\n width: auto;\\r\\n background-color: white;\\r\\n color: #97999b;\\r\\n text-align: center;\\r\\n display: inline-block;\\r\\n border-radius: 3px;\\r\\n position: absolute;\\r\\n font-size: 0.83em;\\r\\n font-weight: normal;\\r\\n border: 1px rgb(0, 0, 0) solid;\\r\\n /* z-index: 200000; */\\r\\n z-index: 10;\\r\\n /* max-width: initial; */\\r\\n max-width: 274px;\\r\\n text-align: start;\\r\\n background-color: #fff;\\r\\n border: 1px solid rgba(0, 0, 0, 0.2);\\r\\n border-radius: 0.3rem;\\r\\n opacity: 0;\\r\\n transition: opacity 0.3s, visibility 0.3s;\\r\\n visibility: hidden;\\r\\n}\\r\\n\\r\\n.show.popover {\\r\\n z-index: 999;\\r\\n opacity: 1;\\r\\n visibility: visible;\\r\\n}\\r\\n\\r\\n.popover-body {\\r\\n color: #6c6e71;\\r\\n}\\r\\n\\r\\n.popover .popover_arrow {\\r\\n width: 0;\\r\\n height: 0;\\r\\n border-style: solid;\\r\\n position: absolute;\\r\\n margin: 6px;\\r\\n color: transparent;\\r\\n}\\r\\n\\r\\n.popover[x-placement^=\"top\"] {\\r\\n margin-bottom: 15px;\\r\\n}\\r\\n\\r\\n.popover[x-placement^=\"top\"] .popover_arrow {\\r\\n border-width: 8px 8px 0 8px;\\r\\n border-color: #d6d6d6 transparent transparent transparent;\\r\\n bottom: -8px;\\r\\n margin-bottom: 0;\\r\\n}\\r\\n\\r\\n.popover[x-placement^=\"top\"] .popover_arrow::before {\\r\\n content: \"\";\\r\\n display: inline-block;\\r\\n position: absolute;\\r\\n left: -8px;\\r\\n bottom: 1.5px;\\r\\n border: solid;\\r\\n border-width: 8px 8px 0 8px;\\r\\n border-color: white transparent transparent transparent;\\r\\n}\\r\\n\\r\\n.popover[x-placement^=\"bottom\"] {\\r\\n margin-top: 15px;\\r\\n}\\r\\n\\r\\n.popover[x-placement^=\"bottom\"] .popover_arrow {\\r\\n border-width: 0 8px 8px 8px;\\r\\n border-color: transparent transparent #d6d6d6 transparent;\\r\\n top: -8px;\\r\\n margin-top: 0;\\r\\n}\\r\\n\\r\\n.popover[x-placement^=\"bottom\"] .popover_arrow::before {\\r\\n content: \"\";\\r\\n display: inline-block;\\r\\n position: absolute;\\r\\n left: -8px;\\r\\n top: 1.45px;\\r\\n border: solid;\\r\\n border-width: 0 8px 8px 8px;\\r\\n border-color: transparent transparent white transparent;\\r\\n}\\r\\n\\r\\n.popover[x-placement^=\"right\"] {\\r\\n margin-left: 15px;\\r\\n}\\r\\n\\r\\n.popover[x-placement^=\"right\"] .popover_arrow {\\r\\n border-width: 8px 8px 8px 0;\\r\\n border-color: transparent #d6d6d6 transparent transparent;\\r\\n left: -8px;\\r\\n margin-left: 0;\\r\\n}\\r\\n\\r\\n.popover[x-placement^=\"right\"] .popover_arrow::before {\\r\\n content: \"\";\\r\\n display: inline-block;\\r\\n position: absolute;\\r\\n top: -8px;\\r\\n left: 1.45px;\\r\\n border: solid;\\r\\n border-width: 8px 8px 8px 0;\\r\\n border-color: transparent white transparent transparent;\\r\\n}\\r\\n\\r\\n.popover[x-placement^=\"left\"] {\\r\\n margin-right: 15px;\\r\\n}\\r\\n\\r\\n.popover[x-placement^=\"left\"] .popover_arrow {\\r\\n border-width: 8px 0 8px 8px;\\r\\n border-color: transparent transparent transparent #d6d6d6;\\r\\n right: -8px;\\r\\n margin-right: 0;\\r\\n}\\r\\n\\r\\n.popover[x-placement^=\"left\"] .popover_arrow::before {\\r\\n content: \"\";\\r\\n display: inline-block;\\r\\n position: absolute;\\r\\n top: -8px;\\r\\n right: 1.45px;\\r\\n border: solid;\\r\\n border-width: 8px 0 8px 8px;\\r\\n border-color: transparent transparent transparent white;\\r\\n}\\r\\n\\r\\n.tooltip {\\r\\n width: auto;\\r\\n background-color: black;\\r\\n color: white;\\r\\n text-align: center;\\r\\n display: inline-block;\\r\\n border-radius: 3px;\\r\\n position: absolute;\\r\\n /* font-size: 0.83em; */\\r\\n font-weight: normal;\\r\\n border: 1px rgb(0, 0, 0) solid;\\r\\n /* z-index: 200000; */\\r\\n z-index: 15;\\r\\n /* max-width: initial; */\\r\\n max-width: 274px;\\r\\n text-align: start;\\r\\n border: 1px solid rgba(0, 0, 0, 0.2);\\r\\n border-radius: 0.3rem;\\r\\n opacity: 0;\\r\\n transition: opacity 0.3s, visibility 0.3s;\\r\\n visibility: hidden;\\r\\n}\\r\\n\\r\\n.tooltip-inner {\\r\\n display: block;\\r\\n}\\r\\n\\r\\n.show.tooltip {\\r\\n z-index: 999;\\r\\n\\r\\n opacity: 1;\\r\\n visibility: visible;\\r\\n}\\r\\n\\r\\n.tooltip .popover_arrow {\\r\\n width: 0;\\r\\n height: 0;\\r\\n border-style: solid;\\r\\n position: absolute;\\r\\n margin: 6px;\\r\\n color: transparent;\\r\\n}\\r\\n\\r\\n.tooltip[x-placement^=\"top\"],\\r\\n.show[x-placement^=\"top\"]:not(.tooltip) {\\r\\n margin-bottom: 5px;\\r\\n}\\r\\n\\r\\n.tooltip[x-placement^=\"top\"] .popover_arrow {\\r\\n border-width: 6px 6px 0 6px;\\r\\n border-color: #131313 transparent transparent transparent;\\r\\n bottom: -6px;\\r\\n margin-bottom: 0;\\r\\n}\\r\\n\\r\\n.tooltip[x-placement^=\"top\"] .popover_arrow::before {\\r\\n content: \"\";\\r\\n display: inline-block;\\r\\n position: absolute;\\r\\n left: -6px;\\r\\n bottom: 1.5px;\\r\\n border: solid;\\r\\n border-width: 6px 6px 0 6px;\\r\\n border-color: black transparent transparent transparent;\\r\\n}\\r\\n\\r\\n.tooltip[x-placement^=\"bottom\"],\\r\\n.show[x-placement^=\"bottom\"]:not(.tooltip) {\\r\\n margin-top: 5px;\\r\\n}\\r\\n\\r\\n.tooltip[x-placement^=\"bottom\"] .popover_arrow {\\r\\n border-width: 0 6px 6px 6px;\\r\\n border-color: transparent transparent #131313 transparent;\\r\\n top: -6px;\\r\\n margin-top: 0;\\r\\n}\\r\\n\\r\\n.tooltip[x-placement^=\"bottom\"] .popover_arrow::before {\\r\\n content: \"\";\\r\\n display: inline-block;\\r\\n position: absolute;\\r\\n left: -6px;\\r\\n top: 1.45px;\\r\\n border: solid;\\r\\n border-width: 0 6px 6px 6px;\\r\\n border-color: transparent transparent black transparent;\\r\\n}\\r\\n\\r\\n.tooltip[x-placement^=\"right\"],\\r\\n.show[x-placement^=\"right\"]:not(.tooltip) {\\r\\n margin-left: 5px;\\r\\n}\\r\\n\\r\\n.tooltip[x-placement^=\"right\"] .popover_arrow {\\r\\n border-width: 6px 6px 6px 0;\\r\\n border-color: transparent #131313 transparent transparent;\\r\\n left: -6px;\\r\\n margin-left: 0;\\r\\n}\\r\\n\\r\\n.tooltip[x-placement^=\"right\"] .popover_arrow::before {\\r\\n content: \"\";\\r\\n display: inline-block;\\r\\n position: absolute;\\r\\n top: -6px;\\r\\n left: 1.45px;\\r\\n border: solid;\\r\\n border-width: 6px 6px 6px 0;\\r\\n border-color: transparent black transparent transparent;\\r\\n}\\r\\n\\r\\n.tooltip[x-placement^=\"left\"],\\r\\n.show[x-placement^=\"left\"]:not(.tooltip) {\\r\\n margin-right: 5px;\\r\\n}\\r\\n\\r\\n.tooltip[x-placement^=\"left\"] .popover_arrow {\\r\\n border-width: 6px 0 6px 6px;\\r\\n border-color: transparent transparent transparent #131313;\\r\\n right: -6px;\\r\\n margin-right: 0;\\r\\n}\\r\\n\\r\\n.tooltip[x-placement^=\"left\"] .popover_arrow::before {\\r\\n content: \"\";\\r\\n display: inline-block;\\r\\n position: absolute;\\r\\n top: -6px;\\r\\n right: 1.45px;\\r\\n border: solid;\\r\\n border-width: 6px 0 6px 6px;\\r\\n border-color: transparent transparent transparent black;\\r\\n}\\r\\n');\nvar It = function (t) {\n function a() {\n var t, r;\n E(this, a);\n for (var n = arguments.length, o = new Array(n), l = 0; l < n; l++) o[l] = arguments[l];\n return O(L(r = W(this, (t = M(a)).call.apply(t, [this].concat(o)))), \"state\", {\n popperJS: null,\n visible: r.props.isVisible,\n showPopper: r.props.isVisible\n }), O(L(r), \"popoverWrapperRef\", e.createRef()), O(L(r), \"referenceElm\", e.createRef()), O(L(r), \"setPopperJS\", function () {\n var e = r.state,\n t = e.showPopper,\n a = e.popperJS;\n t && (a ? a.scheduleUpdate() : r.createPopper(), setTimeout(function () {\n return clearInterval(r.timer);\n }, 1e3));\n }), O(L(r), \"createPopper\", function () {\n var e = r.props,\n t = e.placement,\n a = e.modifiers,\n n = r.state.popperJS;\n r.referenceElm && r.popoverWrapperRef && r.setState({\n popperJS: new w(r.referenceElm, r.popoverWrapperRef, I({\n placement: t\n }, a), function () {\n return setTimeout(function () {\n n.scheduleUpdate();\n }, 10);\n })\n });\n }), O(L(r), \"doToggle\", function (e) {\n r.setState({\n showPopper: e && !0\n }, function () {\n var t = r.state,\n a = t.showPopper,\n n = t.visible;\n a && r.setState({\n visible: void 0 !== e ? e : !n\n }, function () {\n r.createPopper(), r.state.popperJS.scheduleUpdate();\n });\n });\n }), O(L(r), \"handleClick\", function (e) {\n var t = e.target,\n a = r.state.showPopper;\n if (r.popoverWrapperRef && a) {\n if (r.popoverWrapperRef.contains(t) || r.referenceElm.contains(t) || t === r.referenceElm) return;\n r.doToggle(!1);\n }\n }), r;\n }\n return B(a, e.Component), R(a, [{\n key: \"componentDidUpdate\",\n value: function (e, t) {\n var a = this.state.showPopper,\n r = this.props,\n n = r.isVisible,\n o = r.onChange;\n this.setPopperJS(), e.isVisible !== n && n !== a && a !== e.showPopper && this.setState({\n showPopper: n\n }), o && a !== t.showPopper && o(a), a && t.showPopper !== a && this.createPopper();\n }\n }, {\n key: \"componentDidMount\",\n value: function () {\n var e = this;\n this.timer = setInterval(function () {\n return e.setPopperJS();\n }, 3), document.addEventListener(\"click\", this.handleClick);\n }\n }, {\n key: \"render\",\n value: function () {\n var t = this,\n a = this.props,\n r = a.children,\n n = a.className,\n o = a.clickable,\n s = a.domElement,\n i = a.email,\n c = a.id,\n d = (a.isVisible, a.material),\n p = (a.modifiers, a.placement, a.popover),\n b = a.sm,\n u = (a.style, a.onChange, a.tag),\n m = _(a, [\"children\", \"className\", \"clickable\", \"domElement\", \"email\", \"id\", \"isVisible\", \"material\", \"modifiers\", \"placement\", \"popover\", \"sm\", \"style\", \"onChange\", \"tag\"]),\n h = this.state,\n g = h.visible,\n f = h.showPopper,\n v = r[1],\n y = r[0],\n x = l(g && \"show\", p ? \"popover\" : !d && !i && \"tooltip px-2\", n),\n T = l((d || i) && \"tooltip-inner\", d && (b ? \"md-inner\" : \"md-inner-main\"), i && (b ? \"md-inner\" : \"md-inner-email\"));\n return e.createElement(e.Fragment, null, s ? e.createElement(y.type, P({}, y.props, {\n onMouseEnter: function () {\n return !o && t.doToggle(!0);\n },\n onMouseLeave: function () {\n return !o && !p && setTimeout(function () {\n return t.doToggle(!1);\n }, 0);\n },\n onTouchStart: function () {\n return !o && t.doToggle(!0);\n },\n onTouchEnd: function () {\n return !o && !p && t.doToggle(!1);\n },\n onMouseDown: function () {\n return o && t.doToggle(!f);\n },\n onMouseUp: function () {\n return setTimeout(function () {\n return t.setPopperJS();\n }, 0);\n },\n ref: function (e) {\n return t.referenceElm = e;\n },\n \"data-popper\": c\n })) : e.createElement(y.type, P({}, y.props, {\n onMouseEnter: function () {\n return !o && t.doToggle(!0);\n },\n onMouseLeave: function () {\n return !o && !p && setTimeout(function () {\n return t.doToggle(!1);\n }, 0);\n },\n onTouchStart: function () {\n return !o && t.doToggle(!0);\n },\n onTouchEnd: function () {\n return !o && !p && t.doToggle(!1);\n },\n onMouseDown: function () {\n o && t.doToggle(!f), setTimeout(function () {\n return t.setPopperJS();\n }, 100);\n },\n onMouseUp: function () {\n return setTimeout(function () {\n return t.setPopperJS();\n }, 0);\n },\n innerRef: function (e) {\n return t.referenceElm = e;\n },\n \"data-popper\": c\n })), f && e.createElement(u, P({\n ref: function (e) {\n return t.popoverWrapperRef = e;\n },\n className: x,\n \"data-popper\": c\n }, m), e.createElement(v.type, {\n className: l(T, v.props.className)\n }, v.props.children), e.createElement(\"span\", {\n \"x-arrow\": \"\",\n className: l(\"popover_arrow\")\n })));\n }\n }]), a;\n}();\nIt.propTypes = {\n children: s.node,\n clickable: s.bool,\n domElement: s.bool,\n email: s.bool,\n id: s.string,\n isVisible: s.bool,\n material: s.bool,\n modifiers: s.object,\n placement: s.string,\n popover: s.bool,\n sm: s.bool,\n style: s.objectOf(s.string),\n tag: s.string\n}, It.defaultProps = {\n clickable: !1,\n domElement: !1,\n id: \"popper\",\n isVisible: !1,\n placement: \"top\",\n popover: !1,\n style: {\n display: \"inline-block\"\n },\n tag: \"div\"\n};\nvar Bt = function (t) {\n var a = t.attributes,\n r = t.children,\n n = t.className,\n o = t.tag,\n s = l(\"popover-body\", n);\n return e.createElement(o, P({\n \"data-test\": \"popover-body\"\n }, a, {\n className: s\n }), r);\n};\nBt.propTypes = {\n children: s.node,\n className: s.string,\n tag: s.oneOfType([s.func, s.string])\n}, Bt.defaultProps = {\n tag: \"div\"\n};\nvar Mt = function (t) {\n var a = t.attributes,\n r = t.children,\n n = t.className,\n o = t.tag,\n s = l(\"popover-header\", n);\n return e.createElement(o, P({\n \"data-test\": \"popover-header\"\n }, a, {\n className: s\n }), r);\n};\nMt.propTypes = {\n children: s.node,\n className: s.string,\n tag: s.oneOfType([s.func, s.string])\n}, Mt.defaultProps = {\n className: \"\",\n tag: \"h3\"\n};\nvar qt = function (t) {\n var a = t.animated,\n r = t.barClassName,\n n = t.children,\n o = t.className,\n s = t.color,\n i = t.height,\n c = t.material,\n d = t.max,\n p = t.min,\n b = t.preloader,\n u = t.striped,\n m = t.value,\n h = t.wrapperStyle,\n g = _(t, [\"animated\", \"barClassName\", \"children\", \"className\", \"color\", \"height\", \"material\", \"max\", \"min\", \"preloader\", \"striped\", \"value\", \"wrapperStyle\"]),\n f = (m - p) / (d - p) * 100,\n v = l(\"progress\", c && \"md-progress\", b && \"\".concat(s ? \"\".concat(s, \"-color\") : \"primary-color\", \"-dark\"), o),\n y = l(b ? \"indeterminate\" : \"progress-bar\", r || null, a ? \"progress-bar-animated\" : null, s ? \"bg-\".concat(s) : null, u || a ? \"progress-bar-striped\" : null),\n x = i || n && \"1rem\",\n T = I({}, h, {\n height: x\n });\n return e.createElement(\"div\", P({\n \"data-test\": \"progress\"\n }, g, {\n className: v,\n style: T\n }), e.createElement(\"div\", {\n className: y,\n style: {\n width: \"\".concat(f, \"%\"),\n height: x\n },\n role: \"progressbar\",\n \"aria-valuenow\": m,\n \"aria-valuemin\": p,\n \"aria-valuemax\": d\n }, 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C);\n };\n }, []), r(function () {\n s(a.data);\n }, [a.data]), r(function () {\n var e = o.findIndex(function (e) {\n return e.choosed;\n });\n -1 !== e && v({\n title: o[e].tooltip,\n index: e\n });\n }, [o]), r(function () {\n if (a.getValue) {\n var e = f.title,\n t = f.index;\n t = null !== t ? t + 1 : t, a.getValue({\n title: e,\n value: t\n });\n }\n }, [f, a]);\n var E = function () {\n d(null);\n },\n S = function () {\n T(\"\"), w(null);\n },\n R = function (e) {\n T(e.target.value);\n },\n O = a.tag,\n D = a.containerClassName,\n I = a.iconClassName,\n B = a.iconFaces,\n M = a.iconSize,\n q = a.iconRegular,\n L = a.fillClassName,\n W = a.fillColors,\n j = (a.getValue, a.feedback),\n F = a.submitHandler,\n H = _(a, [\"tag\", \"containerClassName\", \"iconClassName\", \"iconFaces\", \"iconSize\", \"iconRegular\", \"fillClassName\", \"fillColors\", \"getValue\", \"feedback\", \"submitHandler\"]),\n z = l(\"mdb-rating\", \"d-flex\", \"justify-content-start\", 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O : D, e.createElement(\"span\", null, e.createElement($, {\n className: C,\n fab: m,\n fal: h,\n far: g,\n icon: f\n }), y)), S || E);\n};\nXt.propTypes = {\n children: s.object,\n className: s.string,\n disabled: s.bool,\n disabledClassName: s.string,\n fab: s.bool,\n fal: s.bool,\n far: s.bool,\n icon: s.string,\n opened: s.bool,\n tag: s.string,\n title: s.any\n}, Xt.defaultProps = {\n disabled: !1,\n fab: !1,\n fal: !1,\n far: !1,\n icon: \"folder-open\",\n opened: !1,\n tag: \"li\"\n}, Xt.contextTypes = {\n theme: s.string\n};\nee(\".note-dark {\\r\\n background-color: #000;\\r\\n color: #fff;\\r\\n border-color: #58595a;\\r\\n}\\r\\n\\r\\n.note-default {\\r\\n background-color: rgb(164, 243, 235);\\r\\n border-color: #00695c;\\r\\n}\\r\\n\\r\\n.note-elegant {\\r\\n background-color: #2E2E2E;\\r\\n border-color: #212121;\\r\\n color: #fff;\\r\\n}\\r\\n\\r\\n.note-stylish {\\r\\n background-color: #4B515D;\\r\\n border-color: #3E4551;\\r\\n color: #fff;\\r\\n}\\r\\n\\r\\n.note-unique {\\r\\n background-color: #3F729B;\\r\\n border-color: #1C2331;\\r\\n color: #fff;\\r\\n}\\r\\n\\r\\n.note-special {\\r\\n background-color: #37474F;\\r\\n border-color: #263238;\\r\\n color: #fff;\\r\\n}\\r\\n\");\nvar Yt = function (t) {\n function a() {\n return E(this, a), W(this, M(a).apply(this, arguments));\n }\n return B(a, e.Component), R(a, [{\n key: \"render\",\n value: function () {\n var t = this.props,\n a = t.className,\n r = t.tag,\n n = t.children,\n o = t.variant,\n s = t.blockquote,\n i = t.bqColor,\n c = (t.bqTitle, t.bqFooter, t.bqText, t.listUnStyled),\n d = t.listInLine,\n p = t.colorText,\n b = t.text,\n u = t.note,\n m = t.noteColor,\n h = t.noteTitle,\n g = _(t, [\"className\", \"tag\", \"children\", \"variant\", \"blockquote\", \"bqColor\", \"bqTitle\", \"bqFooter\", \"bqText\", \"listUnStyled\", \"listInLine\", \"colorText\", \"text\", \"note\", \"noteColor\", \"noteTitle\"]),\n f = l(o && o, p && \"\".concat(p.toLowerCase(), \"-text\"), b && \"text-\".concat(b), a),\n v = l(\"blockquote\", i && \"bq-\".concat(i), a),\n y = l(\"note\", m && \"note-\".concat(m), a),\n x = \"\" !== f ? 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diff --git a/event/index.html b/event/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Not found
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+
The Centre for Linguistic Theory and Studies in Probability
(Dis)embodiment Conference
On: 15 Sep, 2022
Duration: 2 days
Location: Hybrid (Gothenburg University, room J335 and online)
(Dis)embodiment is a conference organized by the Centre for Linguistic Theory and Studies in Probability (CLASP), https://www.gu.se/en/clasp at the Department of Philosophy, Linguistics and Theory of Science (FLoV). It is sponsored by SIGSEM http://sigsem.org, the ACL special interest group on semantics. The conference will be held between September 15 to September 16.
+
(Dis)embodiment will bring together researchers from various areas looking to answer the question of the role of grounding and embodiment in modelling human language tasks and behaviour -- or limits thereof. The conference is open to viewpoints from machine learning, computational linguistics, theoretical linguistics and philosophy, cognitive science and psycholinguistics, as well as artificial intelligence ethics and policy. We hope to see technical contributions and the full spectrum of reasoned debate. For more info visit: https://sites.google.com/view/disembodiment/home.
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+
The Centre for Linguistic Theory and Studies in Probability
Location: Wallenberg Conference Centre (Gothenburg)
The Centre for Linguistic Theory and Studies in Probability (CLASP) at the University of Gothenburg and the AI Competence for Sweden Initiative are organizing an one day workshop on AI and Natural Language. The aim of the workshop will be to present cutting edge research in Natural Language Processing and Computational Linguistics and bring together researchers and industrial partners mainly from Sweden and the Nordic countries, in order to discuss issues of mutual interest related to AI and Natural Language. The workshop is going to take place on the 5th of November 2019 at the Wallenberg Conference Centre in Gothenburg.
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+
The Centre for Linguistic Theory and Studies in Probability
13th International Conference on Computational Semantics (IWCS2019)
Location: Wallenberg Conference Center (Gothenburg)
The 13th International Conference on Computational Semantics (IWCS 2019) will be held at the University of Gothenburg, Sweden on the 23-27th May 2019. For more info visit the conference's official website
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+
The Centre for Linguistic Theory and Studies in Probability
Conference on Logic and Machine Learning in Natural Language (LaML)
We are very happy to announce the first official conference organized by CLASP, Logic and Machine Learning in Natural Language (LaML). The conference hopes to bring together researchers working in both logical and machine learning/deep learning approaches to Computational Linguistics. We aim at initiating a discussion with the two sets of researchers that have been largely unconnected up to now. The conference will take place on June the 12th-14th 2017 in Gothenburg, Sweden. For more information please take a look here.
+
Call for Papers
+
Conference on Logic and Machine Learning in Natural Language (LaML)
+
+
Conference dates: June 12-14, 2017
+
Venue: Wallenberg Conference Centre, University of Gothenburg
+
Organised by CLASP, University of Gothenburg
+
+
The past two decades have seen impressive progress in a variety of areas of AI, particularly NLP, through the application of machine learning methods to a wide range of tasks. With the intensive use of deep learning methods in recent years this work has produced significant improvements in the coverage and accuracy of NLP systems in such domains as speech recognition, topic identification, semantic interpretation, and image description generation.
+
While deep learning is opening up exciting new approaches to longstanding, difficult problems in computational linguistics, it also raises important foundational questions. Specifically, we do not have a clear formal understanding of why multi-level recursive deep neural networks achieve the success in learning and classification that they are delivering. It is also not obvious whether they should displace more traditional, logically driven methods, or be combined with them. Finally, we need to explore the extent, if any, to which both logical models and machine learning methods offer insights into the cognitive foundations of natural language.
+
The Conference on Logic and Machine Learning in Natural Language will address these questions and related issues. It will feature invited talks by leading researchers in both fields, and high level contributed papers selected through open competition and rigorous review. Our aim is to initiated a genuine dialogue between these two approaches, where they have traditionally remained separate and in competition.
+
The conference proceedings will be published online, with an ISSN, on the CLASP website. Authors will retain the copyright of their papers and be free to publish them elsewhere, with acknowledgement.
+
Registration is free and participation is open. We warmly invite everyone to attend.
+
Invited Speakers:
+
+
Marco Baroni, Trento
+
Alexander Clark, King’s College London
+
Devdatt Dubhashi, Chalmers
+
Katrin Erk, University of Texas, Austin
+
Joakim Nivre, Uppsala
+
Aarne Ranta, Gothenburg
+
Mehrnoosh Sadrzadeh, Queen Mary University of London
We anticipate accepting 17 papers for oral presentation, and up to 20 papers for poster presentation.
+
Important dates:
+
+
Deadline for submission: April 4, 2017
+
Extended deadline for submission: April 14, 2017
+
Notification of authors: April 27, 2017
+
Camera ready papers due: May 9, 2017
+
+
The LaML Programme Committee:
+
+
Marco Baroni, Trento
+
Islam Beltagy, University of Texas, Austin
+
Jean-Philippe Bernardy, Gothenburg
+
Gemma Boleda, Universitat Pompeu Fabra
+
Stergios Chatzikyriakidis, Gothenburg
+
Alexander Clark, King’s College London
+
Robin Cooper, Gothenburg
+
Simon Dobnik, Gothenburg
+
Devdatt Dubhashi, Chalmers
+
Katrin Erk, University of Texas, Austin
+
Julian Hough, Bielefeld
+
Christine Howes, Gothenburg
+
John D. Kelleher, Dublin Institute of Technology
+
Shalom Lappin, Gothenburg
+
Staffan Larsson, Gothenburg
+
Julian Michael, Washington
+
Joakim Nivre, Uppsala
+
Stephan Oepen, Oslo
+
Barbara Plank, Groningen
+
Matthew Purver, Queen Mary University of London
+
Aarne Ranta, Gothenburg
+
Mehrnoosh Sadrzadeh, Queen Mary University of London
+
Anders Søgaard, Copenhagen
+
Charalambos Themistocleous, Gothenburg
+
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diff --git a/events/conferences/Learning with Small Data (LSD)/index.html b/events/conferences/Learning with Small Data (LSD)/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Learning with Small Data is a conference organized by the Centre for Linguistic Theory and Studies in Probability (CLASP), https://www.gu.se/en/clasp at the Department of Philosophy, Linguistics and Theory of Science (FLoV). The conference will be held between September 11 to September 12.
+
There is now an acute need for intensive research on the possibility of effective learning with small data. Our 2023 conference, LSD, is devoted to work on this problem, with application to computational linguistics.
+
Why is there this need? Current deep learning systems require large amounts of data in order to yield optimal results. Neural language models are now trained on many billions of parameters, with data sets that are terabytes in size. Despite this, they have achieved remarkable success across a wide range of tasks in Natural Language Processing, and in AI generally. But these systems have a number of limitations which require closer attention:
+
First, the models take a long time to pretrain, and they are difficult to modify. As a result, much research in NLP is shaped by what one can achieve with large transformers. This has marginalised important computational learning questions for which they are not well suited.
+
Second, because of the heavy resources required to develop them, they have become the preserve of tech companies. Researchers at most universities and smaller centres are now positioned as consumers of these systems, limited to fine tuning them for experimental work on downstream tasks.
+
Third, the complexity, size, and mode of computation of transformers has rendered the way in which they acquire the generalisations extracted from data largely opaque. This has made it difficult to understand precisely why they succeed, or fail, where they do.
+
Finally, comparison with human learning and representation has become increasingly difficult, given the large disparity in accessible data and learning time between transformers and humans. Therefore, the cognitive interest of deep learning has receded.
+
These reasons alone are sufficient to motivate us at CLASP to bring fellow researchers together for an organized discussion. We welcome original contributions in all areas of NLP and related domains of AI that address aspects of this issue.
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diff --git a/events/conferences/ReInAct2021/index.html b/events/conferences/ReInAct2021/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Reasoning and Interaction Conference
On: 04 Oct, 2021
Duration: 2 days
Location: Hybrid (Gothenburg University and online)
Reasoning and Interaction (ReInAct) is a conference organized by the Centre for Linguistic Theory and Studies in Probability (CLASP), https://www.gu.se/en/clasp at the Department of Philosophy, Linguistics and Theory of Science (FLoV), https://www.gu.se/flov/english. It is sponsored by SIGSEM http://sigsem.org, the ACL special interest group on semantics. The ReInAct conference proceedings will be published online in the ACL Anthology for 2021 as a SIGSEM workshop event. The conference will also include a shared task on Natural Language Inference in Dialogue.
+
ReInAct will bring together researchers interested in computationally relevant approaches to reasoning and interaction in natural language. ReInAct is open to Machine Learning, Symbolic and Experimental approaches, as well as combinations of these. For more info visit: https://sites.google.com/view/reinact2021/home
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diff --git a/events/conferences/SSDL2018/index.html b/events/conferences/SSDL2018/index.html
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@@ -0,0 +1,59 @@
+
The Centre for Linguistic Theory and Studies in Probability
Swedish Symposium on Deep Learning 2018
On: 05 Sep, 2018
Duration: 2 days
Location: Wallenberg Conference Center (Gothenburg)
The 2nd Swedish Symposium on Deep Learning will be held at Chalmers
+University of Technology, 5-6 September, 2018.
+
The premier event in Sweden bringing together top researchers in Deep
+Learning across academia and industry. This year there will be thematic
+sessions on Vision, Natural Language Technologies and Health
+Engineering, three of the most high impact areas for Deep Learning
+today.
Organised by Chalmers Area of Advance Information and Communication
+Technology, Chalmers Department of Computer Science and Engineering, and
+CLASP at University of Gothenburg. For more info, have a look
+here.
+
+
Location: Wallenberg Conference Center, Medicinaregatan 20, Gothenburg
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+
The Centre for Linguistic Theory and Studies in Probability
Workshop on Dialogue and Perception 2018
On: 14 Jun, 2018
Duration: 2 days
Location: Wallenberg Conference Centre (Gothenburg)
Accommodation and other useful information
+
Accomodation
+
We have negotiated a special rate with the following hotel:
+
+
Hotel Gothia Towers. Book a room by
+email or call at 031-7508810. State
+the following: Booking code: C/GOTE 130618.grp. NB! Only 6 available
+rooms, between the 13-15th June, bookable until 30/5!
+
+
Other hotel suggestions:
+Hotel Lorensberg
+Berzeliigatan 15
+Phone: 031 -81 06 00
+E-mail: info@hotel-lorensberg.se
+www.hotel-lorensberg.se
Gothia Towers is located a 15 minute walk from the train station -
+Gothenburg
+Centralstation.
+From the Gothenburg Centralstation you can also take trams number 2
+(direction: Krokslätt) or 4 (direction: Mölndal) and get off at tram
+stop Korsvägen/Svenska Mässan.
+
Airport
+
Landvetter Airport is located 20km from Gothenburg. The airport shuttle
+service to Gothenburg city departs about every 15 minutes and is very
+convenient. For schedule and ticket information, see
+here. Get off at bus stop
+Korsvägen/Svenska Mässan for Gothia Towers or Nils Ericson Terminalen (Göteborg C) for Gothenburg city.
+
Taxi
+
The journey from the airport to the city takes 30 minutes. We recommend
+Taxi Göteborg: +46 (0)31-650 000.
+If you are going directly to the workshop venue the address is
+Medicinaregatan 20A. If you are going to Gothia Towers the address is
+Mässans gata 24.
+
Workshop Venue
+
The workshop will take place at the Wallenberg Conference
+Centre.
+The Wallenberg Conference Centre is located at Medicinareberget, just
+above Sahlgrenska Hospital. The facility is handicap-accessible and
+environmentally certified.
+
Getting to the Wallenberg Centre
+
From Gothia Towers: There are several tram options i.e. tram no. 6, 8
+and 13. Get on the tram at Korsvägen outside the hotel and stop
+at Medicinaregatan. The trip will take about 8 minutes. Then it
+is approximately 5 minutes walk to the conference centre. Follow
+Medicinaregatan, pass the allotment gardens, continue half way up the
+hill until you reach the conference centre to your right. See
+here
+for a map of the journey.
+
We recommend the app Västtrafik To Go,
+a simple way to purchase tickets with your mobile phone. Other ways to purchase tickets can be found here.
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+
The Centre for Linguistic Theory and Studies in Probability
Workshop on Dialogue and Perception 2018
On: 14 Jun, 2018
Duration: 2 days
Location: Wallenberg Conference Centre (Gothenburg)
Call for papers
+
We invite anonymous papers of between 2-4 pages of content and up to one
+additional page for references, following the ACL style guidelines. The
+conference proceedings will be published online, with an ISSN, on the
+CLASP website. Authors will have the opportunity to extend their papers
+for the post-proceedings and will retain the copyright of their papers
+and be free to publish them elsewhere, with acknowledgement.
+
Registration is free and participation is open. We warmly invite
+everyone to attend. In order to secure your place please register here
+(available soon).
1. Deadline for submission: 2: April 26, 2018 (Submission 1: April 4,
+2018)
+
2. Notification of acceptance: 2: May 14, 2018 (Submission 1: April 20,
+2018)
+
3. Camera ready papers due: 2: May 31, 2018 (Submission 1: May 2, 2018)
+
4. Workshop date: June 14-15, 2018
+
Invited Speakers (confirmed so far):
+
Jacob Andreas, University of California, Berkeley
+
Laura Carlson, University of Notre Dame
+
Mary Ellen Foster, University of Glasgow
+
Pat Healey, Queen Mary University of London
+
John D. Kelleher, Dublin Institute of Technology, Ireland
+
Ruth Kempson, King's College, London
+
Per Linell, University of Gothenburg
+
Gabriel Skantze, KTH Royal Institute of Technology, Stockholm
+
Programme co-chairs:
+
Christine Howes, CLASP
+
Simon Dobnik, CLASP
+
Programme Committee (confirmed so far):
+
Ellen Breitholtz - University of Gothenburg
+
Joyce Chai - Michigan State University
+
Simon Dobnik - University of Gothenburg (Programme co-chair)
+
Arash Eshghi - Heriot Watt University, Edinburgh
+
Kallirroi Georgila - University of Southern California
+
Jennifer Gerwing - Akershus University Hospital, Oslo
+
Jonathan Ginzburg - Universite Paris-Diderot, Paris 7
+
Eleni Gregoromichelaki - Heinrich Heine University, Dusseldorf
+
Judith Holler - Max Planck
+
Christine Howes - University of Gothenburg (Programme co-chair)
+
John Kelleher - Dublin Institute of Technology
+
Nikhil Krishnaswamy - Brandeis University
+
Staffan Larsson - University of Gothenburg
+
Greg Mills - Groningen University
+
James Pustejovsky - Brandeis University
+
David Schlangen - Bielefeld University
+
Candy Sidner - Worcester Polytechnic Institute
+
Matthew Stone - Rutgers
+
lelka van der Sluis - University of Groningen
+
Diedrich Wolter - University of Bamberg
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@@ -0,0 +1,71 @@
+
The Centre for Linguistic Theory and Studies in Probability
Workshop on Dialogue and Perception 2018
On: 14 Jun, 2018
Duration: 2 days
Location: Wallenberg Conference Centre (Gothenburg)
The study of dialogue investigates how natural language is used in interaction between interlocutors and how coordination and successful communication is achieved. Dialogue is multimodal, situated and embodied, with non-linguistic factors such as attention, eye gaze and gesture critical to understanding communication. However, studies on dialogue and computational models such as dialogue systems have often taken for granted that we align our perceptual representations, which are taken to be part of common ground (grounding in dialogue, Clark, 1996). They have also typically remained silent about how we integrate information from different sources and modalities and the different contribution of each of these. These assumptions are unsustainable when we consider interactions between agents with obviously different perceptual capabilities, as in the case in dialogues between humans and artificial agents, such as avatars or robots.
+
Contrarily, studies of perception have focussed on how an agent interacts with and interprets the information from their perceptual environment. There is significant research on how language is grounded in perception, how words are connected to perceptual representations and agent's actions and therefore assigned meaning (grounding in action and perception, Harnad, 1990). In the last decade there has been impressive progress on integrated computational approaches to language, action, and perception, especially with the introduction of deep learning methods in the field of image descriptions that use end-to-end training from data. However, these have a limited integration to the dynamics of dialogue and often fail to take into account the incremental and context sensitive nature of language and the environment.
+
The aim of this workshop is to initiate a genuine dialogue between these related areas and to examine different approaches from computational, linguistic and psychological perspectives and how these can inform each other. It will feature invited talks by leading researchers in these areas, and high level contributed papers, presented as posters, selected through open competition and rigorous review.
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+
The Centre for Linguistic Theory and Studies in Probability
Workshop on Dialogue and Perception 2018
On: 14 Jun, 2018
Duration: 2 days
Location: Wallenberg Conference Centre (Gothenburg)
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+
The Centre for Linguistic Theory and Studies in Probability
Workshop on Dialogue and Perception 2018
On: 14 Jun, 2018
Duration: 2 days
Location: Wallenberg Conference Centre (Gothenburg)
Thursday 14th of June
+09:00 - 09:45 Registration + coffee
+Posters for Poster Session 1 are put up
+09:45 - 10:00 Introductory remarks
+10:00 - 12:00 Session 1 -- Interaction; Chair: Stergios
+Chatzikyriakidis
+10:00 - 10:45: Ruth
+Kempson
+10:45 - 11.30: Gabriel
+Skantze
+11:30 - 12:00: Discussion
+12:00 - 13:00 Lunch
+13:00 - 14:00 Poster Session 1 (which flows into)
+14:00 - 14:30 Coffee break
+14:30 - 16:30 Session 2 -- Sociality; Chair: Ellen Breitholtz
+14:30 - 15:15: Per
+Linell
+15:15 - 16:00: Mary Ellen
+Foster
+16:00 - 16:30: Discussion
+16:30 - 17:00 Concluding remarks
+17:30 - A tram tour of Gothenburg followed by a workshop dinner\
+
Posters for Poster Session 1
+
1. Ellen Breitholtz and Robin Cooper. Relating coordination in
+non-linguistic games and dialogue games
+
2. Anna Jia Gander and Pierre Gander. Perceiving understanding through
+unimodal and multimodal micro-feedback in dialogue
+
3. Staffan Larsson. Perceptual semantics and dialogue processing
+
4. Mary Lavelle, Gabriel Reedy, Thomas Simpson and Janet E Anderson. The
+challenge of challenging others: Negotiation of performance feedback in
+interprofessional clinical teams
+
5. Chiara Mazzocconi, Vladislav Maraev, Christine Howes and Jonathan
+Ginzburg. Analysis of laughables: a preliminary perception study
+
6. Ilya Utekhin. Learning to Talk with Robots: Turn-Taking in
+Children's Talk to Artificial Partner\
+
Friday 15th of June
+09:30 - 10:00 Coffee
+Posters for Poster Session 2 are put up
+10:00 - 12:00 Session 3 -- Context and Structure; Chair:
+Aleksandre Maskharashvili
+10:00 - 10:45: Patrick
+Healey
+10:45 - 11:30: Jacob
+Andreas
+11:30 - 12:00: Discussion
+12:00 - 13:00 Lunch
+13:00 - 14:00 Poster Session 2 (that flows into)
+14:00 - 14:30 Coffee break
+14:30 - 16:30 Session 4 -- Spatial Language; Chair: Rasmus Blanck
+14:30 - 15:15: Laura
+Carlson
+15:15 - 16:00: John
+Kelleher
+16:00 - 16:30: Discussion
+16:30 - 17:00 Concluding remarks
+
17:30 - ... (Drinks at a nearby bar followed by a dinner (at self
+cost))\
+
Posters for Poster Session 2
+
1. Diane Bouchacourt and Marco Baroni. Understanding inner
+representations of perceptual data in grounded multi-agent simulations
+
2. Julian Hough, Lorenzo Jamone, David Schlangen, Guillaume Walck and
+Robert Haschke. Towards a Types-As-Classifiers Approach to Dialogue
+Processing in Human-Robot Interaction
+
3. Mary Lavelle, Christine Howes, Patrick Gt Healey and Rosemarie
+McCabe. Are we having a laugh? Analysis of Conversational Laughter in
+Schizophrenia
+
4. Robert Ross and Kavita Thomas. Perception & Perspective: An Analysis
+of Discourse and Situational Factors in Reference Frame Selection
+
5. Yanchao Yu, Arash Eshghi and Oliver Lemon. An Incremental Dialogue
+System for Learning Visually Grounded Word Meanings (demonstration
+system)
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+
The Centre for Linguistic Theory and Studies in Probability
Workshop on Dialogue and Perception 2018
On: 14 Jun, 2018
Duration: 2 days
Location: Wallenberg Conference Centre (Gothenburg)
Registration
+
Registration is free and participation is open. We warmly invite
+everyone to attend. In order to secure your place please register
+here.
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+
The Centre for Linguistic Theory and Studies in Probability
Gothenburg-Stockholm Workshop on Proof Theory, Model Theory, and Probability in Natural Language
On: 07 Feb, 2018
Duration: 1 day
Location: Room L100, Lennart Torstenssonsgatan 6 (Gothenburg)
The Gothenburg-Stockholm Workshop on Proof Theory, Model Theory, and Probability in Natural Language is organized by CLASP, FLoV, University of Gothenburg. It will take place at Room L100, Lennart Torstenssonsgatan 6 on February 7, 2018. The workshop program is as follows:
+
(important note: due to unforeseen circumstances, Per Martin-Löf will not be able to give his talk. The program will start a bit later as shown below)
+
10:00-11:00: Peter Pagin, University of Stockholm
+
Compositionality, Computability, and Complexity
+
The standard argument for the claim that natural languages have a compositional semantics proceed from the need of hearers to compute the meaning of novel complex expressions. But computability does not entail compositionality. Is there a reason for believing that natural languages have a semantics that is both computable and compositional? Yes, for it turns out that keeping the complexity of semantic interpretation low requires a compositional semantics. We shall look at the notionof a recursive semantic function, and provide a framework for estimating the time complexity of semantics by means of term rewriting systems.
+
11:00-11:30: Fika
+
11:30-12:30: Dag Westerståhl, University of Stockholm
+
Making Exceptions (joint work with Stanley Peters)
+
We present a novel account of the semantics of “except", in phrases of the form "Det N except NP". The account is based on careful analysis of the notions of generalization and exceptions to generalizations. It improves on earlier analyses, in particular von Fintel (1993), Moltmann (1995), and Peters and Westerståhl (2006), as regards both simplicity and empirical correctness. And it covers universal as well as non-universal generalizations with exceptions; the ubiquity of the latter was first observed by García-Álvarez (2003).
+
12:30-13:30: lunch (light sandwich lunch on site)
+
13:30-14:10: Thierry Coquand, Chalmers University of Technology
+
Sheaf Models of Type Theory
+
Sheaf/Beth models have been essential for the meta-theory of higher order logic (Church’s simple theory of types). In this talk, we explore a formulation of this notion of models for dependent type theory. We explain the main difficulty, which is how to model the notion of universes, and why the situation is there more complex than for presheaf/Kripke models. We then mention three potential applications: consistency with Brouwer’s fan theorem, extension of type theory with a type of indiscernable atoms, and finally an extension of type theory with probabilistic proofs/programs.
+
14:10-14:50: Aarne Ranta University of Gothenburg
+
Concept Alignment for Compositional Translation
+
Translation between natural languages is not compositional in a naive word-to-word sense. But many problems can be solved by using higher-level concepts, implementable as abstract syntax constructors in type theory together together with compositional linearization functions in Grammatical Framework (GF). The question then arises: what are these constructors for a given set of languages? A whole spectrum of possibilities suggests itself: word senses (as in WordNet), multiword phrases (as in statistical machine translation), predication frames (as in FrameNet), syntactic deep structures (as in GF Resource Grammar Library), and lexico-syntactic constructions (as in Construction Grammar). The talk will study the problem in the light of experiences for building a cross-lingual lexicon of concepts in the General Data Protection Regulation (GDPR) in five languages. We have identified over 3000 concepts of varying complexity. A lot of manual work has been needed in the process, but some ideas have emerged toward a computational approach that can suggest concept alignments by automated analysis.
+
14:50-15:10: fika
+
15:10-15:50: Staffan Larsson, Robin Cooper, Simon Dobnik, and Shalom Lappin, University of Gothenburg,
+
Bayesian Classification and Learning in ProbTTR
+
We presented a probabilistic type theory in Cooper et. al. (2014 and 2015), which extends Cooper's Type Theory with Records (Cooper 2012). This theory, Probabilistic Type Theory with Records (ProbTTR), assigns probability values, rather than Boolean truth-values, to type judgements. In this paper we suggest a way of incorporating a Bayesian inference, classification and learning theory into ProbTTR.
+
15:50-16:30: Jean Phililppe Bernardy, University of Gothenburg
+
A fuzzy type-theory and elementary remarks about probabilistic logics
+
In this talk I will present a simple extension to type theory which makes it suitable for fuzzy reasoning. The idea is to associate weights with propositions and propagate them suitably in the typing rules. This weight-propagation has been proposed earlier to accommodate linear-style variants of type theory (McBride 2016). The variant presented here is essentially a relaxation. If time allows I will also make some remarks about probabilistic logics, outlining certain constraints that they should obey. The hop is to highlight certain difficulties that one might face when devising a probabilistic logic.
+
16:30-17:00: fika
+
17:00-18:30: Discussion of Workshop topics
+
19:00: Dinner for Workshop participants
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+
The Centre for Linguistic Theory and Studies in Probability
Language and Probability: The CLASP Inauguration Workshop
The Centre for Linguistic Theory and Studies in Probability (CLASP) at the Department of Philosophy, Linguistics and Theory of Science, University of Gothenburg hosted a one-day workshop to inaugurate the Centre on Thursday 27th August 2015 at Gothia Towers.
+
The workshop focused on core areas of CLASP's research mission. It featured short talks by representatives from the university, the Swedish Research Council, CLASP researchers, and members of CLASP's international Scientific Advisory Committee.
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+
The Centre for Linguistic Theory and Studies in Probability
Language and Probability: The CLASP Inauguration Workshop
09:00 - 09:30 Introducing CLASP (Shalom Lappin, Christina Thomsen Thörnqvist (Prefekt, FLOV), Margareta Hallberg (Dean, Faculty of Arts), Grants and Innovation Office representative)
+
09:30 - 10:00 Coffee break
+
10:00 - 10:30 Shalom Lappin, King's College London and University of Gothenburg: A Probabilistic View of Grammaticality Joint work with Jey Han Lau and Alexander Clark, King's College London
+
10:30 - 11:00 Alex Clark, King's College London: Learning Syntactic Structure: Weak Learning, Strong Learning and Canonical Grammars
+
11:00 - 11:15 Break
+
11:15 - 11:45 Aarne Ranta, Chalmers University of Technology: What are grammars good for?
+
11:45 - 12:15 Joakim Nivre, Uppsala University: Towards a Universal Grammar for Natural Language Processing
+
12:15 - 13:00 Lunch
+
13:00 - 13:30 Charalambos Themistocleous, University of Gothenburg and Princeton University: Learning Linguistic Categories from Acoustic Structure: Towards a Speech Time Frequency Model
+
13:30 - 14:00 Lars Borin, University of Gothenburg: Multi-word expressions - eels in sheep’s clothing?
+
14:00 - 14:15 Break
+
14:15 - 14:45 Devdatt Dubhashi, Chalmers University of Technology: Distributed representations in NLP
+
14:45 - 15:15 Chris Howes and Ellen Breitholtz, University of Gothenburg: Incremental Reasoning in Dialogue (IncReD), work with Robin Cooper
+
15:15 - 15:45 Coffee break
+
15:45 - 16:15 Staffan Larsson, University of Gothenburg: Vagueness and Learning in Probabilistic TTR, work with Raquel Fernandez
+
16:15 - 16:45 Katrin Erk, University of Texas at Austin: Semantics as a Heterogeneous Mess, and How to Reason Over It
+
16:45 - 17:00 Break
+
17:00 - 17:30 Simon Dobnik, University of Gothenburg: On Interfacing Language, Spatial Perception, Dialogue, and Cognition
+
17:30 - 18:00 Stergios Chatzikyriakidis, University of Gothenburg: Modern Type Theoretical Semantics, Inference and Probability Theory
+
18:00 - 18:15 Robin Cooper, University of Gothenburg: Final remarks
+
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+
The Centre for Linguistic Theory and Studies in Probability
Language and Probability: The CLASP Inauguration Workshop
There is no registration fee, and everyone is welcome. However, places are limited due to the size of the room. Please register at http://goo.gl/forms/vvRDbdOh9k to insure your participation. If you are travelling from outside Gothenburg, please refer to the local information for goDIAL.
+
For questions and further information, contact Simon Dobnik.
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+
The Centre for Linguistic Theory and Studies in Probability
Language and Probability: The CLASP Inauguration Workshop
Stegios Chatzikyriakidis, University of Gothenburg, CLASP member
+
Alexander Clark, King's College London, CLASP Scientific Advisory
+Committee
+
Simon Dobnik, University of Gothenburg, CLASP member
+
Devdatt Dubhashi, Chalmers University of Technology
+
Katrin Erk, University of Texas at Austin, CLASP Scientific Advisory
+Committee
+
Grants and Innovation Office representative, University of
+Gothenburg
+
Margareta Hallberg, Dean, Faculty of Arts
+
Chris Howes, University of Gothenburg
+
Shalom Lappin, University of Gothenburg and King's College London,
+CLASP Director
+
Staffan Larsson, University of Gothenburg, CLASP member
+
Joakim Nivre, Uppsala University, CLASP Scientific Advisory
+Committee
+
Aarne Ranta, Chalmers University of Technology
+
Charalambos Themistocleous, University of Gothenburg and Princeton
+University, CLASP member
+
Christina Thomsen Thörnqvist, Prefekt, FLOV
+
+
Abstracts
+
Lars Borin, University of Gothenburg: Multi-word expressions - eels in sheep's clothing?
+
Multi-word expressions (MWEs) have attracted much attention in NLP over
+the last decade or so, and in general linguistics, the interest in
+phraseology - which includes the linguistic study of MWEs - goes back
+much further. However, the broad comparative approach characteristic of
+research in linguistic typology seems not to have played any role in any
+of this work so far. On the contrary, comparative studies of MWEs in NLP
+(or phraseology in linguistics) have generally been contrastive rather
+than typological in scope, i.e., they deal with (a convenience sample
+of) a few languages, rather than with a systematic typological sample
+representative of the world's linguistic diversity, with the result that
+no unitary cross-linguistically valid notion of MWE can be found in the
+literature. Approaching MWEs from a broad cross-linguistic perspective
+raises a number of intriguing theoretical and methodological questions,
+for linguistics and NLP alike. In fact, closer connections between NLP
+work on MWEs and linguistic research on lexical and semantic typology
+could have an important role to play for developing new research
+directions in both fields.
+
Stergios Chatzikyriakidis, University of Gothenburg: Modern Type Theoretical Semantics, Inference and Probability Theory
+
In this talk I report on-going work on the use of Modern Type Theories
+(MTTs), i.e. type theories within the tradition of Martin Löf (1974,
+1981), in the study of linguistic semantics. In particular, I exemplify
+the use of Luo's type theory with coercive sub-typing and show its
+applicability for a wide range of semantic phenomena, including
+adjectival/adverbial modification, co-predication and belief
+intensionality among others. I will then argue that the proof-theoretic
+nature of MTTs has the further advantage that these can be further
+implemented into reasoning engines in order to perform reasoning tasks.
+In particular, this proof-theoretic aspect has been the main reason that
+a number of proof-assistants implement variants of MTTs. One such
+proof-assistant, Coq, will be used as a way to show the applicability of
+MTTs in dealing with Natural Language Inference (NLI). Lastly, I will
+discuss the issue of introducing probabilities into type theory. In
+particular, I want to focus on the problems that such endeavour might
+face and discuss possibilities on how such an extension of MTTs can be
+at least initiated.
+
Alex Clark, King's College London: Learning Syntactic Structure: Weak Learning, Strong Learning and Canonical Grammars
+
The origin of syntactic structure has been a difficult problem for
+theoretical linguistics for many decades. One standard assumption is
+that it must be bootstrapped in some way from some external source of
+information, typically some hierarchically structured semantic
+representation. We will explore a radical alternative to this view: that
+distributional patterns in the raw data may suffice. Under some
+circumstances formal languages will have a unique canonical grammar
+which can form the basis for a learning algorithm which recovers a
+reasonable notion of syntactic structure: this approach relies on
+identifying irreducible elements of an algebraic structure - the
+syntactic concept lattice - canonically associated with every formal
+language.
+
Simon Dobnik, University of Gothenburg: On Interfacing Language, Spatial Perception, Dialogue, and Cognition
+
I will give an overview of our work on building computational models of
+meaning of spatial descriptions in dialogue interaction such as "the
+chair is to the left of the table" or "turn right at the next
+crossroad" which include both linguistic and perceptual
+representations, for example those used in computer vision and robotics.
+As such models interface perceptional and conceptual domains they
+invariably require an application of statistical models and machine
+learning. Physical sciences have developed ways in which space can be
+described with high degree of accuracy, for example by measuring
+distances and angles. Such measures can be represented on a continuous
+scale of real numbers. However, humans refer to space quite differently:
+they use reference to discrete units such as points, regions and volumes
+and they also take into account what they know about the world and the
+objects, for example the dynamic kinematic routines between them.
+Spatial descriptions are also notoriously underspecified and vague and
+they have to be interpreted against appropriate perceptual and discourse
+contexts. In my ongoing work with Robin Cooper, Shalom Lappin and
+Staffan Larsson on Type Theory with Records (TTR) I have tried to give
+this practical experience theoretical foundations by exploring how such
+models relate to linguistic theory, in particular to formal semantics,
+and use the models as a test-bed for theory development.
+
Devdatt Dubhashi, Chalmers University of Technology: Distributed representations in NLP
+
Distributed representations such as Google's word2vec and Stanford's
+GloVe which have emerged out of the Deep Learning research community,
+have been shown to be capture deep semantic information and thus
+constitute powerful and highly scalable data driven frameworks for NLP.
+We show examples from work of our research group of how they can be used
+for word sense induction and automatic document summarisation and how
+they can be extended to capture time dynamics of language change.
+
Katrin Erk, University of Texas at Austin: Semantics as a Heterogeneous Mess, and How to Reason Over It
+
Many phenomena in lexical semantics seem to involve gradedness. Synonymy
+is a case at hand: Instead of absolute synonymy, we find near-synonymy
+of words that are often substitutable but still differ in nuances of
+meaning. Polysemy also seems to come in degrees, with different uses of
+a word differing in their perceived similarity. We use distributional
+models to describe degrees of similarity of word instances, and combine
+them with logical form representations of sentence meaning. In this
+talk, we show how to use Markov Logic Networks (MLNs) to perform
+probabilistic inference over logical form with weighted distributional
+inference rules for the task of Recognising Textual Entailment (RTE). We
+also speculate how a human agent could make use of distributional
+information and integrate it with everything else they know through a
+probabilistic framework. We argue that if semantics is a heterogeneous
+mess (which seems likely), it is important to find the right
+probabilistic framework for reasoning over it.
+
Chris Howes, University of Gothenburg: Incremental Reasoning in Dialogue (IncReD), work with Ellen Breitholtz and Robin Cooper
+
In this talk, we will outline our grant proposal 'IncReD' (Incremental
+Reasoning in Dialogue). This project aims to extend insights on
+incrementality in language processing beyond the utterance level.
+Reasoning - which often plays the role of providing coherence and
+structure in larger chunks of language - is also incremental in the
+sense that we tend to form hypotheses regarding the arguments of our
+conversational partners before these arguments are fully explicit. In
+this sense incrementality in reasoning is analogous to syntactic and
+semantic incrementality. We aim to combine insights from a variety of
+fields (e.g. Artificial Intelligence, Formal Linguistics,
+Psycholinguistics, Philosophy) and use corpus methods, state of the art
+experimental techniques (e.g. the Dialogue Experimental Toolkit (DiET))
+and formal models from syntactic, semantic and pragmatic domains (e.g.
+Dynamic Syntax (DS) and Type Theory with Records (TTR)) to develop a
+model of dialogue that accounts for a range of dialogue phenomena
+including reasoning. Specifically we intend to investigate: (1) What
+types of reasoning do people use in dialogue? What resources does this
+reasoning rely on and how are these resources accessed incrementally?
+(2) What happens in a dialogue (linguistically and interactionally) when
+there is a mismatch in the resources for reasoning between participants?
+What factors influence the arguments a person uses when conflicting
+resources are available? (3) How can this incremental human reasoning
+ability be formally modelled?
+
Shalom Lappin, King's College London and University of Gothenburg: A Probabilistic View of Grammaticality Joint work with Jey Han Lau and Alexander Clark, King's College London
+
The question of whether grammatical competence should be represented by
+a formal grammar that provides a binary membership condition for the set
+of well-formed sentences (and their associated structures) in a
+language, or as a probabilistic system for determining relative values
+of grammatical acceptability has been a central issue in computational
+linguistics and cognitive science over the past two decades. In this
+talk I will present experimental evidence that speakers' judgements of
+grammatical acceptability are intrinsically gradient. I will show that
+unsupervised language models, augmented with grammatical scoring
+functions, can predict these judgements with an encouraging degree of
+accuracy over distinct domains and different languages. These results
+provide motivation for the view that grammatical competence is a
+probabilistic system. They also raise interesting questions about the
+nature of the language acquisition process. One of the main concerns of
+the talk will be to clarify the relationship between grammatical
+acceptability and probability. This work was done within the framework
+of my Economic and Social Research Council of the UK project Statistical
+Models of Grammaticality (SMOG).
+
Staffan Larsson, University of Gothenburg: Vagueness and Learning in Probabilistic TTR, work with Raquel Fernandez
+
We present a formal account of the meaning of vague scalar adjectives
+such as "tall" formulated in probabilistic Type Theory with Records.
+Our approach makes precise how perceptual information can be integrated
+into the meaning representation of these predicates; how an agent
+evaluates whether an entity counts as tall; and how the proposed
+semantics can be learned and dynamically updated through experience.
+
Joakim Nivre, Uppsala University: Towards a Universal Grammar for Natural Language Processing
+
Universal Dependencies is a recent initiative to develop
+cross-linguistically consistent tree-bank annotation for many languages,
+with the goal of facilitating multilingual parser development,
+cross-lingual learning, and parsing research from a language typology
+perspective. In this talk, I outline the motivation behind the
+initiative and explain how the basic design principles follow from these
+requirements. I then discuss the different components of the annotation
+standard, including principles for word segmentation, morphological
+annotation, and syntactic annotation. I conclude with some thoughts on
+the challenges that lie ahead.
+
Aarne Ranta, Chalmers University of Technology: What are grammars good for?
+
In formal language theory, a language is a set of strings and a grammar
+is an inductive definition of this set. It generates all and only the
+valid strings of the language. In linguistics, generative grammars have
+similarly aimed at defining all and only the valid sentences of natural
+languages - in other words, the notion of grammaticality. One objection
+to this idea is that grammaticality in natural language is not a binary
+notion but a gradient one. Does this imply that grammars are useless and
+should be replaced by probabilistic models of language?
+
In our view, not. We should just abandon the idea that the purpose of
+grammars is to define grammaticality. Grammars should rather be seen as
+ways of structuring data. Even statistical language models need
+grammars, often just very simple ones, For instance, a grammar might
+have the sequences of strings as its only structure. But we want to show
+how richer grammatical structures - often together with statistics - are
+a useful model that can for instance compensate for sparse data. We will
+also discuss the wide-spread beliefs that hand-written grammars cannot
+be robust and that they require too much work to be useful in practice.
+
Charalambos Themistocleous, University of Gothenburg and Princeton University: Learning Linguistic Categories from Acoustic Structure: Towards a Speech Time Frequency Model
+
[Linguistic information is hard-coded in speech signal. By analysing
+specific acoustic properties, such as vowel formants and fundamental
+frequency, acoustic models of speech production aim to elicit this
+information. I summarise evidence from my research on speech processing
+and argue that these acoustic models provide only incomplete spectral
+description and under-represent interactions between acoustic
+properties. Consequently, they do not do justice to the complex
+linguistic information encoded in speech. I then propose a model for
+speech processing based on parameterised resonant signal elements and an
+algorithm that analyses vowel samples based on the proposed model. The
+algorithm provides a rich description of any given segmented vowel
+sample by using a large number of resonant elements with parameters that
+are chosen to accurately capture the time-frequency structure of the
+vowel. The parameters are then used to calculate probabilities. An
+application of the model successfully classifies vowels, stress, and
+speech variety. This model is an improvement over methods that only use
+a small number of formants to describe vowels, has the potential to be
+used in automatic speech recognition, and is promising for use in
+applications of forensic linguistics, and speech pathology. Finally, I
+discuss an ongoing work that aims to extend the model for the analysis of
+prosody.
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+
The Centre for Linguistic Theory and Studies in Probability
Language and Probability: The CLASP Inauguration Workshop
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+
The Centre for Linguistic Theory and Studies in Probability
Studies in Language Structure using Deep Learning
Presented by: Adam Ek
Date: September 08, 2023
Cordially welcome to the public defence of Adam Ek's doctoral thesis on Friday 8 September, at 10:15 in room J222, Faculty of Humanities. The title is "Studies in Language Structure using Deep Learning".
+
Doctoral candidate: Adam Ek, University of Gothenburg
+
Supervisor: Jean-Phillipe Bernardy, University of Gothenburg
+Assistant supervisor: Stergios Chatzikiriakidis, University of Gothenburg
+
Opponent: Assistant Professor Lasha Abzianidze, Utrecht University
+
Committee:
+Professor, Stephen Clark, Head of ArtificiaI Intelligence, Quantinuum
+Docent Sara Stymne, Uppsala universitet
+Associate Professor Johannes Bjerva, Aalborg universitet
+
Chair: Associate Professor Asad Basheer Sayeed, Göteborgs universitet
+
Date: 2023-09-08
+
Title: Studies in Language Structure using Deep Learning
+
Abstract: This thesis deals with the discovery, prediction, and utilization of structural patterns in language using deep learning techniques. The thesis is divided into two sections. The first section gives an introduction to the tools used and the structures in language we are interested in. The second part presents six papers addressing the research questions. The first three papers deals with discovering and predicting patterns. In the first paper, we explore methods of composing word embeddings to predict morphological features. The second paper explores the possibility of using vector norms to approximate syntactic complexity. The third paper deals with predicting the depths of nested structures. The remaining three papers deal with using structures in language to make semantic predictions. The fourth paper explores using dependency trees to predict semantic predicate-argument structures using a rule-based system. The fifth paper explores modeling linguistic acceptability using syntactic and semantic labels. The sixth paper deals with exploring how punctuation affects natural language inference.
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diff --git a/events/defences/Public defence of Bill Noble's doctoral thesis/index.html b/events/defences/Public defence of Bill Noble's doctoral thesis/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Public defence of William Noble's doctoral thesis
Presented by: William Noble
Date: April 20, 2023
Cordially welcome to the public defence of William Noble's doctoral thesis on Thursday 20 April, at 13:15 in room J222, Faculty of Humanities. The title is "Semantic change in interaction: Studies on the dynamics of lexical meaning".
+
Doctoral candidate: William Noble, University of Gothenburg
+
Supervisor: Staffan Larsson, University of Gothenburg
+Assistant supervisor: Asad Sayeed, University of Gothenburg
+
Opponent: Associate professor Casey Kennington, Boise State University
+
Committee:
+Professor Hana Filip, Heinrich Heine Universität, Düsseldorf
+Associate Professor, Jakub Szymanik, University of Trento
+Docent Dana Dannells, Göteborgs universitet
+
Chair: Professor Eleni Gregoromichelaki, Göteborgs universitet
+
Date: 2023-04-20
+
Title: Semantic change in interaction: Studies on the dynamics of lexical meaning
+
Abstract: This compilation thesis investigates how word meanings change. In
+particular, it's concerned semantic change at the levels of
+interaction and the speech community. To this end, the compiled
+studies employ methods from both formal and computational semantics.
+
The first study presents a model for, and companion annotation study of,
+word meaning negotiation, a conversational routine in which the
+meaning of a word becomes an explicit topic of conversation. The next
+two studies introduce and apply classification systems, a model of
+communal conceptual resources for ordering and talking about a
+particular domain. We use a formalization thereof to model how
+genus-differentia definitions can be used in interaction to update
+lexical knowledge of perceptual categories. The next study considers a
+related phenomenon, perceptual category description, but this time
+from a computational perspective. By modeling a short interaction
+between two neural networks, we investigate how different ways of
+representing perceptual categories affect linguistic grounding.
+Following that, we turn to the dynamics of social meaning, particularly
+the meaning of implicit conversational assumptions called topoi, with
+a focus on situations of involving uncertainty about the speaker's
+social identity. The final two studies of the thesis shift the focus
+from particular interactions to the level of the community. First, we
+investigate linguistic variation using community conditioned language
+models to learn vector representations for a collection of online
+communities. These language-based representations are found to correlate
+with community representations based on community membership alone.
+Finally, we use diachronic distributional word vectors to study
+short-term semantic shift in online communities. We find that semantic
+change has a significant yet nuanced relationship with the social
+structure of the community.
+Altogether, the compilation offers two main insights. First, semantic plasticity is directly related to the complexity of the lexical semantic system. Words exhibit both perceptual and inferential meaning potential, each of which play a role in conveying and learning new words. Monolithic representations of word meaning belie a structured flexibility that guides how words can be used, while providing opportunities for innovation. It is this flexibility that is often the site of new conventionalized meanings. Second, semantic change is rooted in the interactive practices of the community. Communities sustain the communicative norms that govern how linguistic interaction takes place. These norms provide a framework for negotiating meaning. They also comprise the social and semiotic context that supports semantic innovation and change.
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diff --git a/events/defences/Public defence of Mehdi Ghanimifard's doctoral thesis/index.html b/events/defences/Public defence of Mehdi Ghanimifard's doctoral thesis/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Public defence of Mehdi Ghanimifard's doctoral thesis
Presented by: Mehdi Ghanimifard
Date: May 18, 2020
Cordially welcome to the public defence of Mehdi Ghanimifard's doctoral thesis that he will defend on Wednesday 27 May, at 15.15 online via Zoom. The title is Why the pond is not outside the frog? Grounding in contextual representations by neural language models. The proceedings can also be followed via link in room J335 at Humanisten.
+
Doctoral candidate: Mehdi Ghanimifard, University of Gothenburg
+
Supervisor: Simon Dobnik, University of Gothenburg
+Assistant supervisor: Staffan Larsson, University of Gothenburg
+
Opponent: Parisa Kordjamshidi, Michigan State University
+
Committee:
+Raffaella Bernardi, University of Trento
+David Schlangen, University of Potsdam
+Devdatt Dubashi, Chalmers University of Technology
+Joakim Nivre, Uppsala University (replacement)
+
Chair: Lena Eriksson, University of Gothenburg
+
Date: 2020-05-27
+The proceedings can also be followed via link in room J335, Humanisten
+Title: Why the pond is not outside the frog? Grounding in contextual representations by neural language models
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diff --git a/events/defences/Public defence of Vladislav Maraev's doctoral thesis/index.html b/events/defences/Public defence of Vladislav Maraev's doctoral thesis/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Public defence of Vladislav Maraev's doctoral thesis
Presented by: Vladislav Maraev
Date: August 29, 2022
Cordially welcome to the public defence of Vladislav Maraev's doctoral thesis on Monday 29 August, at 15:15 in room J439, Humanisten. The proceedings can also be followed online, Zoom link: https://gu-se.zoom.us/j/66086973989#success The title is "Who is laughing now? Laughter-infused dialogue systems".
+
Doctoral candidate: Vladislav Maraev, University of Gothenburg
+
Supervisor: Christine Howes, University of Gothenburg
+Assistant supervisor: (1) Staffan Larsson, University of Gothenburg, (2) Jonathan Ginzburg, Université de Paris
+
Opponent: Professor Matthew Stone, Rutgers School of Arts and Sciences
+
Committee:
+Professor Gabriel Skantze, Kungliga tekniska högskolan, Stockholm
+Doktor Magdalena Rychlowska, Queen’s University, Belfast
+Professor Alexandra Weilenmann, University of Gothenburg
+
Chair: Doktor Ellen Breitholtz, University of Gothenburg
+
Date: 2022-08-29
+
Title: Who is laughing now? Laughter-infused dialogue systems
+
Abstract: T
+his thesis paves the way for including laughter in spoken dialogue systems in a domain-general and linguistically valid way using computational linguistics tools and methods. The thesis is concerned with three main areas.
+
The first area is the placement of laughter in relation to speech and other behaviours. We show that convolutional and recurrent neural networks can effectively predict laughs from dialogue transcripts, whereas human perforance in this task is significantly worse. Such prediction models allow dialogue systems to predict user laughter and, if needed, put system laughter in an appropriate place. Furthermore, we look at laughter placement in relation to gaze and show that laughter, performing different pragmatic functions, is related to different gaze patterns. These findings provide important implications for embodied conversational agents and social robots in regard to multimodal behaviour realisation and coordination.
+
The second area is concerned with interaction between laughter and the communicative intent of a user and system, as well as with the context in which the given intent occurs. We lay the groundwork for the central component of a spoken dialogue system by implementing a dialogue manager in a theoretically informed way using a proof-theoretic model based on linear logic. Our dialogue manager is then extended to support laughter functioning as feedback or a signal accompanying system feedback, and an answer to polar questions. Additionally, we look at how laughter can modify or form a dialogue act, and how laughter can improve Transformer-based deep learning models in the task of dialogue act recognition.
+
The third area is humour. Humour is intuitively related to laughter and some laughs highlight social norm violations and ironic statements, which bring laughter and humour closer together, even though humour is not necessary for laughter. We look at how humour is related to reasoning about social conventions and other learned and accommodated implicit assumptions, and how humour can be modelled in relation to creativity, implying situational and conversational creativity for artificial agents.
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diff --git a/events/defences/Public defence of Wafia Adouane's doctoral thesis/index.html b/events/defences/Public defence of Wafia Adouane's doctoral thesis/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Public defence of Wafia Adouane's doctoral thesis
Presented by: Wafia Adouane
Date: September 02, 2020
Cordially welcome to the public defence of Wafia Adouane's doctoral thesis on Wednesday 2 September, at 17:00 online via Zoom. The title is Natural Language Processing for Low-resourced Code-switched Colloquial Languages – The Case of Algerian Language. To reduce the risk of spreading the Corona virus, the public is kindly asked to attend via streaming.
+Audience can also join in Lilla Hörsalen (C350) at Humanisten, but only a limited number.
+
Doctoral candidate: Wafia Adouane, University of Gothenburg
+
Supervisor: Jean-Philippe Bernardy, University of Gothenburg
+Assistant supervisor: Shalom Lappin, University of Gothenburg
+
Opponent: Professor Mona Diab, George Washington University
+
Committee:
+Assistant Professor Muhammad Abdul-Mageed, University of British Columbia
+Associate Professor Barbara Plank, University of Copenhagen
+Assistant Professor Eleni Gregoromichelaki, Heinrich-Heine-Universität Düsseldorf
+
Chair: Professor Staffan Larsson, University of Gothenburg
+
Date: 2020-09-02
+The proceedings can also be followed via link in Lilla Hörsalen (C350) at Humanisten, but only a limited number
+Title: Natural Language Processing for Low-resourced Code-switched Colloquial Languages – The Case of Algerian Language
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diff --git "a/events/defences/Public defense of Chatrine Qwaider\302\264s doctoral thesis/index.html" "b/events/defences/Public defense of Chatrine Qwaider\302\264s doctoral thesis/index.html"
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+
The Centre for Linguistic Theory and Studies in Probability
Public defence of Chatrine Qwaider´s doctoral thesis
Presented by: Chatrine Qwaider
Date: May 25, 2022
Cordially welcome to the public defence of Chatrine Qwaider´s doctoral thesis on Wednesday May 25, at 15:00 in room J439, Humanisten. The title is "Resources and Applications for Dialectal Arabic: The case of Levantine".
+
Doctoral candidate: Chatrine Qwaider, University of Gothenburg
+
Supervisor: Stergios Chatzikyriakidis, University of Gothenburg
+Assistant supervisor: Simon Dobnik, University of Gothenburg
+
Opponent: Doktor Muhammad Abdul-Mageed, University of British Columbia
+
Examining committee:
+Professor Mona Diab, George Washington University
+Docent Yves Scherrer, Helsingfors universitet
+Docent Peter Ljunglöf, Göteborgs universitet
+
Chair: Docent Christine Howes, Göteborgs universitet
+
Date: 2022-05-25
+
Title: Resources and Applications for Dialectal Arabic: the Case of Levantine
+
Abstract:
+This is a thesis about the computational study of Dialectal Arabic (DA). In particular, the thesis studies DA, with a special emphasis on Levantine Arabic, and develops tools and resources for the computational study of Dialectal Arabic Natural Language Processing (DANLP). It investigates the creation of fine-grained resources that can be used for a variety of computational tasks, and a number of effective models that can deal with the complexity of fine-grained dialectal data. Dialect Identification (DI), as well as Sentiment Analysis (SA) are the Natural Language Processing (NLP) tasks investigated in this thesis.
+
In the first part (Study 1 and Study 2), I study the DI task on both coarse-grained and fine-grained levels. For this reason, I build the first annotated Levantine (SHAMI) Dialect Corpus (SDC). Furthermore, I explore the ability of n-gram language models, Machine Learning (ML) algorithms and ensemble learning techniques to classify and detect 26 Arabic varieties. In the second part, I conduct a linguistic study to measure the lexical distance between MSA and DA, and between the dialects themselves. This is done to check whether transferring knowledge from one variety to another is possible. In the third part, studies 4,5 and 6, I explore Arabic Sentiment Analysis (SA). I investigate the idea of knowledge transfer between MSA and the dialects using SA as a case study. Furthermore, I implement various models such as the pre-trained language model BERT, Deep Learning (DL), ML and feature engineering approaches to detect the sentimental polarity of DA data. I introduce two valuable resources for this task, one focusing on Levantine sentiment (Shami-Senti), and the other for DA in general (AT- SAD). I exploit different ways of annotation, e.g. human, lexicon-based and automatic distant supervision annotation. The last study is about choosing the best model for DI and SA. I exploit well known models and approaches using various kinds of DA resources.
+
The thesis contributes to the field of DANLP in a number of ways. The introduced valuable resources can be seen as a stepping stone for a deeper investigation and understanding of issues in DANLP. They are also reliable and can be used by researchers to address different NLP tasks. The cross- dialectal linguistic studies will open up prospects for researchers to finetune models and transfer knowledge among Arabic varieties. A big part of the contribution lies in designing DI and SA models. I implement several ML models that use feature engineering approaches and N-gram language models to identify the dialect or detect the sentiment. For DI, I design and implement an ensemble learning model that is able to handle fine-grained dialects. Additionally, I exploit the usage of DL models on different SA dialectal datasets and achieve competitive results. For both tasks, I exploit the recent pre-trained language models and perform a comparison to choose the best model. I also implement a semi-supervised approach for automatic labelling and annotating data with the help of self-training techniques to improve the performance of the dataset. These models will help researchers dive deeper into DANLP and create practical and industrial systems.
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diff --git a/events/seminars/2016-02-22/Jan-van-Eijck-Modelling/index.html b/events/seminars/2016-02-22/Jan-van-Eijck-Modelling/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
(joint work with Fengkui Ju, Beijing Normal University, Beijing, China)
+
We use propositional dynamic logic and ideas about propositional controlfrom the agency literature to construct a simple model of how legalrelations interact with actions that change the world, and with actionsthat change the legal relations.
+
This work is relevant for attempts to construct restricted fragments of natural language for legal reasoning that could be used in the creation of (more) formal versions of legal documents suitable for `legal knowledge bases'.
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diff --git a/events/seminars/2016-03-09/Stergios-Chatzikyriakidis-Modern/index.html b/events/seminars/2016-03-09/Stergios-Chatzikyriakidis-Modern/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Modern Type Theoretical Semantics: Reasoning Using Proof-Assistants
In this talk, I will discuss the use of Modern Type Theoretical Semantics (MTTs) , i.e. type theories within the tradition of Martin Löf (1974, 1981), for reasoning about natural language semantics. I will first present a brief introduction of the features that make MTTs an attractive formal language to interpret NL semantics to. In particular, I will discuss a number of issues that have been successfully dealt with using MTTs like adjectival/adverbial modification, copredication and intensionality among other things.
+
Then, I will argue that the proof-theoretic nature of MTTs, i.e. the fact that they are proof-theoretically specified, in combination with their expresiveness makes them fit to perform reasoning tasks. This proof-theoretic aspect of MTTs has been the main reason that a number of proof-assistants implement variants of MTTs. One such proof-assistant, Coq, will be used as a way to show the applicability of MTTs in dealing with Natural Language Inference (NLI).
+
Firstly, I will show how NL semantics can be implemented in Coq and then I will present how one can use Coq in order to reason with these semantics. I will draw examples from the FraCas test suite platform in order to show the predictions the implemented semantics make as regards inference. I will then discuss issues like coverage and proof-automation and a number of ideas for future work, like extracting type ontologies from GWAP lexical networks and creating a parser/translator that will translate between English (or any other language) and the syntax of Coq.
+
I will end the talk by discussing the potential use of Coq implementing other semantic frameworks, like Montague Semantics, Davidsonian semantics and eventually a discussion on how Coq can be used with TTR (or even ProbTTR).
+
Lecturer:
+
Stergios Chatzikyriakidis is a researcher and research coordinator of CLASP.
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diff --git a/events/seminars/2016-03-11/John-Kelleher-Attention/index.html b/events/seminars/2016-03-11/John-Kelleher-Attention/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Attention Models in Deep Learning for Machine Translation
Abstract: In the last number of years deep learning models have made a significant impact across a range of fields. Machine Translation is one such area of research. The development of the encoder-decoder architecture and its extension to include an attention mechanism has led to deep learning models achieving state of the art MT results for a number of langauge pairs.
+
However, an open question in deep learning for MT is what is the best attention mechanism to use. This talk will begin by reviewing the current state of the art in deep learning for MT. The second half of the talk will present a novel attention based encoder-decoder architecture for MT. This novel architecture is the result of collaborative research between John Kelleher, Giancarlo Salton, and Robert J. Ross.
+
Lecturer: John Kelleher is a lecturer in the School of Computing at the Dublin Institute of Technology and a researcher at the Adapt research center. He currently supervises research projects in a number of areas including machine translation, activity recognition and discovery, dialogue systems, computational models of spatial language, and music transcription.
+
For the last number of years the majority of his research has used a machine learning methodology, and in 2015 he published a textbook on machine learning with MIT Press. John's collaborators on this research are Giancarlo Salton, who is a PhD student at the Dublin Institute of Technology, and Robert Ross who is a senior lecturer in the School of Computing at the Dublin Institute of Technology.
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diff --git a/events/seminars/2016-03-16/Graeme-Hirst-Who/index.html b/events/seminars/2016-03-16/Graeme-Hirst-Who/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Who decides what a text means? (And what the answer implies for computational linguistics)
Writer-based and reader-based views of text-meaning are reflected by the respective questions "What is the author trying to tell me?" and "What does this text mean to me personally?" Contemporary computational linguistics, however, generally takes neither view; applications do not attempt to answer either question.
+
Instead, a text is regarded as an object that is independent of, or detached from, its author or provenance, and as an object that has the same meaning for all readers. This is not adequate, however, for the further development of sophisticated NLP applications for intelligence gathering and question answering, let alone interactive dialog systems.
+
I will review the history of text-meaning in computational linguistics, discuss different views of text-meaning from the perspective of the needs of computational text analysis, and then extend the analysis to include discourse as well -in particular, the collaborative or negotiated construction of meaning and repair of misunderstanding.
+
Lecturer:Graeme Hirst's research interests cover a range of topics in applied computational linguistics and natural language processing, including lexical semantics, the resolution of ambiguity in text, the analysis of authors' styles in literature and other text (including plagiarism detection and the detection of online sexual predators), identifying markers of Alzheimer's disease in language, and the automatic analysis of arguments and discourse (especially in political and parliamentary texts).
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diff --git a/events/seminars/2016-04-07/Staffan-Larsson-Bayesian/index.html b/events/seminars/2016-04-07/Staffan-Larsson-Bayesian/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
There is a fair amount of evidence indicating that language acquisition in general crucially relies on probabilistic learning. It is not clear how a reasonable account of semantic learning could be constructed on the basis of the categorical type systems that either classical or revised semantic theories assume. We present probabilistic TTR (Cooper et al 2014) that makes explicit the assumption, common to most probability theories used in AI, that probability is distributed over situation types, rather than over sets of worlds. Improving on and going beyond Cooper et al (2014), we formulate elementary Bayesian classifiers (which can be modelled as two-layer Bayesian networks) in probabilistic TTR and use these to illustrate how our type theory serves as an interface between perceptual judgement, semantic interpretation, and semantic leaning. We also show how this account can be extended to cover general Bayesian nets.
+
Lecturer:
+
Staffan Larsson is a professor of computational linguistics at CLASP.
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diff --git a/events/seminars/2016-04-27/Zhaohui-Luo-MTT-semantics/index.html b/events/seminars/2016-04-27/Zhaohui-Luo-MTT-semantics/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
MTT-semantics Is Both Model-theoretic and Proof-theoretic
In this talk, after briefly introducing the formal semantics in modern type theories (MTT-semantics), I shall argue that it is both model-theoretic and proof-theoretic. This is due to the unique features of MTTs: they contain rich type structures that provide powerful representational means (e.g., to represent collections as types) and, at the same time, are specified proof-theoretically as rule-based systems whose sentences (judgements) can be understood inferentially.
+
Considered in this way, MTTs arguably have promising advantages when employed as foundational languages for formal semantics, both theoretically and practically.
+
Lecturer:
+
Zhaohui Luo is a Professor of Computer Science at Royal Holloway, University of London.
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diff --git a/events/seminars/2016-05-04 (2)/Shay-Cohen-Latent-Variable/index.html b/events/seminars/2016-05-04 (2)/Shay-Cohen-Latent-Variable/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Latent-Variable Grammars and Natural Language Semantics
Probabilistic grammars are an important model family in natural language processing. They are used in the modeling of many problems, mostly prominently in syntax and semantics. Latent-variable grammars are an extension of vanilla probabilistic grammars, introducing latent variables that inject additional information into the grammar by using learning algorithms in the incomplete data setting.
+
In this talk, I will discuss work aimed at the development of (four) theoretically-motivated algorithms for the estimation of latent-variable grammars. I will discuss how we applied them to syntactic parsing, and more semantically-oriented problems such as machine translation, conversation modeling in online forums and question answering.
+
Lecturer:Shay Cohen is a Chancellor's Fellow at the Institute for Language, Cognition and Computation, University of Edinburgh.
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diff --git a/events/seminars/2016-05-04/Shay-Cohen-Latent-Variable/index.html b/events/seminars/2016-05-04/Shay-Cohen-Latent-Variable/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Latent-Variable Grammars and Natural Language Semantics
Probabilistic grammars are an important model family in natural language processing. They are used in the modeling of many problems, mostly prominently in syntax and semantics. Latent-variable grammars are an extension of vanilla probabilistic grammars, introducing latent variables that inject additional information into the grammar by using learning algorithms in the incomplete data setting.
+
In this talk, I will discuss work aimed at the development of (four) theoretically-motivated algorithms for the estimation of latent-variable grammars. I will discuss how we applied them to syntactic parsing, and more semantically-oriented problems such as machine translation, conversation modeling in online forums and question answering.
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Lecturer:Shay Cohen is a Chancellor's Fellow at the Institute for Language, Cognition and Computation, University of Edinburgh.
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diff --git a/events/seminars/2016-05-12/Simon-Dobnik-Model/index.html b/events/seminars/2016-05-12/Simon-Dobnik-Model/index.html
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The Centre for Linguistic Theory and Studies in Probability
A Model for Attention-Driven Judgements in Type Theory with Records
Joint work with John D. Kelleher, Dublin Institute of Technology, Ireland
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Type Theory with Records (TTR) has been proposed as a formal representational framework and a semantic model for embodied agents participating in situated dialogues (Dobnik et al., 2014). Although TTR has many potential advantages as a semantic model for embodied agents, one problem it faces is the combinatorial explosion of types that is implicit in the framework due to the fact that new types can be created dynamically by composing existing types.
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A consequence of this combinatorial explosion is that the agent is left with an intractable problem of deciding which types to assign to perceptual data. The term judgement is the technical term used in TTR to describe the assignment of a type to perceptual data that in practice would be implemented as a sensory classification.
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This paper makes 3 contributions to the discussion on the applicability of TTR to embodied agents. First, it highlights the problem of the combinatorial explosion of type assignment in TTR. Second, it presents a judgement control mechanism, based on the Load Theory of selective attention and cognitive control (Lavie et al., 2004), that addresses this problem. Third, it presents a computational framework, based on POMDPs (Kaelbling et al., 1998), that offers a basis for future practical experimentation on the feasibility of the proposed approach.
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Lecturer:
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Simon Dobnik is Senior Lecturer at the University of Gothenburg
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diff --git a/events/seminars/2016-06-16/Carla-Umbach-Ad-hoc/index.html b/events/seminars/2016-06-16/Carla-Umbach-Ad-hoc/index.html
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The Centre for Linguistic Theory and Studies in Probability
Abstract:The talk focuses on demonstratives of manner, quality and/or degree, like German "so", Polish "tak", and English "such" (mqd demonstratives). These demonstratives modify (some or all of) verbal, nominal and degree expressions. They can be used deictically and anaphorically, and may also occur as correlatives in equative comparison constructions. The example in (1) shows German "so" used deictically.
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(1) a. (speaker pointing to someone dancing): So tanzt Anna auch. 'Anna dances like this, too.' -- manner b. (speaker pointing to a table): So einen Tisch hat Anna auch. 'Anna has such a table / a table like this, too.' -- quality c. (speaker pointing to a person): So groß ist Anna auch. 'Anna is this tall, too.' -- degree
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A semantic interpretation of mqd demonstratives will be proposed starting from the intuition that there is a deictic component and a similarity component involved ¿ in all of (1a-c), the meaning of "so" can be paraphrased by "like this". The basic idea is that mqd demonstratives generate a class of items similar to the target of the pointing gesture, e.g., in (1b) a class of tables similar to the table the speaker points at. This interpretation accounts for fact that mqd demonstratives are directly referential differing from regular demonstratives only in expressing similarity instead of identity. Moreover, it accounts for their cross-categorical distribution.
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The suggested analysis is compatible with Carlson's (1980) interpretation of English "such" as a kind- referring expression. In the case of quality and of manner similarity classes will be shown to behave like kinds, although they need not be previously given but are instead ad-hoc generated. In the case of degree, however, it will be argued (contra Anderson and Morzycki 2015) that the resulting similarity class does not establish a kind. In (1c) for example, the class of persons similar in height to the one pointed at does not exhibit kind-like behavior. The similarity interpretation of mqd demonstratives includes three major research topics:
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(i) the implementation of the similarity relation, which is done with the help of multidimensional attribute spaces (ii) the ad-hoc generation of kinds by similarity, which is shown experimentally to be restricted to particular features of comparison, and (iii) the interpretation of equative comparison constructions based on similarity classes.
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In the talk, the focus will be on the second topic.
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Anderson, C., and M. Morzycki (2015) Degrees as kinds. Natural Language and Linguistic Theory. Carlson, G. (1980) Reference to kinds in English. New York and London: Garland. Gust, H. & C.Umbach (2015) Making use of similarity in referential semantics. In H. Christiansen, I. Stojanovic, G. Papadopoulos (eds.) 9th Conference on Modeling and Using Context, Context 2015, LNCS Springer. Umbach, C., & H. Gust (2014) Similarity Demonstratives. Lingua 149, 74-93.
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diff --git a/events/seminars/2016-09-06/Ted-Gibson-Language/index.html b/events/seminars/2016-09-06/Ted-Gibson-Language/index.html
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The Centre for Linguistic Theory and Studies in Probability
Traditional linguistic models of syntax and language processing have assumed an error-free process of language transmission. But we know that this is not the case: people often make errors in both language production and comprehension. This has important ramifications for both models of language processing and language evolution. I first show that language comprehension appears to function as a noisy channel process, in line with communication theory. Given si, the intended sentence, and sp, the perceived sentence we propose that people maximize P(si | sp ), which is equivalent to maximizing the product of the prior P(si) and the likely noise processes P(si → sp ). I show how this simple formulation can explain a wide range of language processing phenomena, such as people’s interpretations of simple sentences, some aphasic language comprehension effects, and the P600 in the ERP literature. Finally, I discuss how thinking of language as communication in this way can explain aspects of the origin of word order, most notably that most human languages are SOV with case-marking, or SVO without case-marking.
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Readings:
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Gibson, E., Bergen, L. & Piantadosi, S. (2013). The rational integration of noisy evidence and prior semantic expectations in sentence interpretation. Proceedings of the National Academy of Sciences, 110(20): 8051-8056. doi: 10.1073/pnas.1216438110. http://tedlab.mit.edu/tedlab_website/researchpapers/Gibson_et_al_2013_PNAS
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diff --git a/events/seminars/2016-09-08/Ev-Fedorenko-human/index.html b/events/seminars/2016-09-08/Ev-Fedorenko-human/index.html
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The Centre for Linguistic Theory and Studies in Probability
The human language network within the broader architecture of the human mind and brain
Although many animal species have the ability to generate complex thoughts, only humans can share such thoughts with one another, via language. My research aims to understand i) the system that supports our linguistic abilities, including its neural implementation, and ii) the relationship between the language system and the rest of the human cognitive arsenal. I use behavioral, fMRI, and genotyping methods in healthy adults and children, intracranial recordings from the cortical surface in patients undergoing pre- or intra-surgical mapping (ECoG), and studies of individuals with developmental and acquired damage.
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I will begin by introducing the "language network", a set of interconnected brain regions that support language comprehension and production. With a focus on the subset of this network dedicated to high-level linguistic processing, I will then consider the relationship between language and non-linguistic cognition. Based on data from fMRI studies and investigations of patients with severe aphasia, I will argue that the language network is functionally selective for language processing over a wide range of non-linguistic processes that have been previously argued to share computational demands with language, including arithmetic, executive functions, music, and action/gesture observation. This network plausibly stores our linguistic knowledge, which can be used for both interpreting and generating linguistic utterances. Time permitting, I will speculate on the relationship between the language network and other networks, including, critically, the domain-general executive system, and the system that supports social cognition.
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diff --git a/events/seminars/2016-09-12/Ted-Gibson-Information/index.html b/events/seminars/2016-09-12/Ted-Gibson-Information/index.html
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The Centre for Linguistic Theory and Studies in Probability
Information processing and cross-linguistic universals
Finding explanations for the observed variation in human languages is the primary goal of linguistics, and promises to shed light on the nature of human cognition. One particularly attractive set of explanations is functional in nature, holding that language universals are grounded in the known properties of human information processing. The idea is that grammars of languages have evolved so that language users can communicate using sentences that are relatively easy to produce and comprehend. In this talk, I summarize results from explorations in two linguistic domains, from an information-processing point of view.
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First, I consider communication-based origins of lexicons of human languages. Chomsky has famously argued that this is a flawed hypothesis, because of the existence of such phenomena as ambiguity. Contrary to Chomsky, we show that ambiguity out of context is not only not a problem for an information-theoretic approach to language, it is a feature. Furthermore, word lengths are optimized on average according to predictability in context, as would be expected under an information theoretic analysis. We then apply this simple information-theoretic idea to a well-studied semantic domain: words for colors. And finally, I show that all the world's languages that we can currently analyze minimize syntactic dependency lengths to some degree, as would be expected under information processing considerations.
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diff --git a/events/seminars/2016-09-13/Ev-Fedorenko-internal/index.html b/events/seminars/2016-09-13/Ev-Fedorenko-internal/index.html
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The Centre for Linguistic Theory and Studies in Probability
A set of brain regions on the lateral surfaces of left frontal, temporal, and parietal cortices robustly respond during language comprehension and production. Although we now have strong evidence that this language network is spatially and functionally distinct from brain networks that support other high-level cognitive functions, the internal structure of the language network remains poorly understood. Deciphering the language network's architecture includes i) identifying its component parts, and ii) understanding the division of labor among those components in space and time. I will first present evidence that all language regions closely track linguistic input. I will then argue that some of the traditional "cuts" that have been proposed in the literature (e.g., based on the size of the linguistic units, based on the distinction between storage and computation, or based on syntactic category) do not seem to be supported by the available evidence. Even aspects of language that have long been argued to preferentially, or selectively, rely on a specific region within the language network (e.g., syntactic processing being localized to parts of Broca¿s area) appear to be distributed across the network. Further, the very same regions that are sensitive to syntactic structure in language show sensitivity to lexical and phonological manipulations. This distributed nature of language processing is in line with much current theorizing in linguistics and the available behavioral psycholinguistic data that show sensitivity to contingencies spanning sound-, word- and phrase-level structure. Time permitting, I will talk about recent work on decoding single word meanings and more complex meanings from the neural activity in the language network, and speculate that the organizing principles of the language network may have to do with meaning.
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diff --git a/events/seminars/2016-10-18/Matthew-Stone-Bayesian/index.html b/events/seminars/2016-10-18/Matthew-Stone-Bayesian/index.html
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The Centre for Linguistic Theory and Studies in Probability
Natural language meanings allow speakers to encode important real-world distinctions, but corpora of grounded language use also reveal that speakers categorize the world in different ways and describe situations with different terminology. To learn meanings from data, we therefore need to link underlying representations of meaning to models of speaker judgment and speaker choice. This paper describes a new approach to this problem: we model variability through uncertainty in categorization boundaries and distributions over preferred vocabulary. We apply the approach to a large data set of color descriptions, where statistical evaluation documents its accuracy. The results are available as a Lexicon of Uncertain Color Standards (LUX), which supports future efforts in grounded language understanding and generation by probabilistically mapping 829 English color descriptions to potentially context-sensitive regions in HSV color space.
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joint work with Brian McMahan.
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diff --git a/events/seminars/2016-11-02/Ruth-Kempson-Language:/index.html b/events/seminars/2016-11-02/Ruth-Kempson-Language:/index.html
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The Centre for Linguistic Theory and Studies in Probability
Language: The Tool for Interaction -- Surfing Uncertainty Together
With established recognition of the endemic context-relativity of language, it is now generally accepted that both parsing and production involve incremental context-relative decisions, requiring the concepts of both evolving contents and evolving contexts. Researchers across semantics, pragmatics, psycholinguistics, and computational linguistics are duly turning to the challenge of modelling language in terms that are compatible with such incrementality. Yet formal models of language remain largely grounded in the static terms of licensing sentential string- interpretation pairings reflecting only concepts such as compositionality, with little or no reflection of a time-linear process of information growth.
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In this talk, I start by showing why linguists cannot avoid the challenge of defining grammar formalisms to reflect the dynamics of conversational dialogue, and how in order to achieve this, every aspect of linguistic knowledge needs to be recast as procedures for on-line incremental and predictive word-by-word understanding/production. I shall then briefly sketch the action-based Dynamic Syntax (DS) system to demonstrate its explanatory potential, by modelling what have been taken as canonical exemplars of semantic-independent syntactic processes, which in DS are all expressed in terms of incremental parsing/generation actions. I will show in passing how the resulting system, despite the lack of any conventional notion of syntax, nonetheless has the power to express both universal structural constraints and yet cross-language variability. Part of this will include the Directed Acyclic Graph characterisation of context as developing in lockstep with the evolving yet revisable content, demonstrating the system-internal potential for self/other-correction. The dynamics of conversational dialogue interactions will then emerge as the immediate consequence of this perspective on language; and I will briefly illustrate how this potential for interaction underpins all types of language-internal licensing constraint: syntactic, semantic, morphosyntactic and phonological.
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I shall then turn to setting this perspective within the Predictive Processing (PP) model of cognition (Clark 2016), whose architectural properties the DS concept of language matches almost point by point. Like perception in the PP model, the DS grammar is a "fundamentally action-oriented" set of procedures, grounded in predictive processing resources shared by speakers (action) and hearers (perception) alike and "executed using the same basic computational strategy" leading to effects of interactive coordination without any need to invoke mind-reading or propositional inference. The result is that linguistic processing, perception, action, and thought are predicted to be "continuously intermingled" yielding representational updates "tailored to good enough online controls rather than aiming for rich mirroring". Instead, such updates are accomplished due to a strong version of affordance competition since the brain ¿continuously computes multiple probabilistically inflected possibilities for action¿ in a cost-effect balancing dynamic, with possibilities progressively winnowed down, allowing for possible revision, to yield at least one output in any successful outcome. To this set of characteristics (Clark 2016 p. 251), we have only to add the potential for interaction which such a language system predicts as default, and a wholly different perspective on language evolution opens up. Language can now be seen as an emergent and evolving system with manifest potential for consolidating cross-individual interactions, hence group effects, without ever having to invoke high-level inferences as external, "designer"-imposed motivation for such consolidation, this a dynamic for which language change already provides robust motivation.
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diff --git a/events/seminars/2016-11-14/Jean-Philippe-Bernandy-Efficient/index.html b/events/seminars/2016-11-14/Jean-Philippe-Bernandy-Efficient/index.html
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The Centre for Linguistic Theory and Studies in Probability
Efficient Parallel and Incremental Parsing of Practical Context-Free Languages
We present a divide-and-conquer algorithm for parsing context-free languages efficiently. Our algorithm is an instance of Valiant's (1975), who reduced the problem of parsing to matrix multiplications. We show that, while the conquer step of Valiant's is O(n3), it improves to O(log2 n) under certain conditions satisfied by many useful inputs.
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One observes that inputs written by humans generally satisfy those conditions. Thus, there appears to be a link between the ability for a computer to efficiently parse an input in parallel and the ability for a human to comprehend such an input.
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diff --git a/events/seminars/2016-11-30/Peter-Sutton-probabilistic,/index.html b/events/seminars/2016-11-30/Peter-Sutton-probabilistic,/index.html
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The Centre for Linguistic Theory and Studies in Probability
A probabilistic, mereological account of the mass/count distinction
In this paper, we attempt to answer the vexing question why it should be the case that only certain types of noun meanings exhibit mass/count variation in the lexicalization of their semantic properties, while others do not. This question has so far remained unanswered, or been set aside. We will do so by focusing on the role of context-sensitivity (already highlighted in recent theories of the mass/count distinction), and argue that it gives rise to a conflict between two pressures that influence the encoding of noun meanings as mass or count, one stemming from learnability constraints (reliability) and the other from constraints on informativeness (individuation). This will also lead us to identifying four semantic classes of nouns, and to showing why variation in mass/count encoding is, on our account, to be expected to occur widely in just two of them. Context-sensitivity forces a choice between prioritizing individuation, which aligns with count lexicalization, and prioritizing consistency, which aligns with mass lexicalization.
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diff --git a/events/seminars/2017-02-01/Mathieu-Lafourcade-Games/index.html b/events/seminars/2017-02-01/Mathieu-Lafourcade-Games/index.html
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The Centre for Linguistic Theory and Studies in Probability
Human-based computation is an approach where some steps of a computation is outsourced to humans. Games with a purpose (GWAPs) are games aiming at resolving puzzled or collecting data, where humans still outperform machines.
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The JeuxDeMots (JDM) projects is a web-based associative GWAP where people are invited to play on various lexical and semantic relations between terms. The aim of this project is to build a large lexico-semantic network, with various relations types and word refinements (word usages).
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Text semantic analysis is the main application for exploiting this resource, however the use as a tool for providing help in the case of the "tip of the tongue" phenomenon is also fruitful. This presentation will present the principles behind the JDM project, as well has the results achieved so far (around 1 million terms for 67 million relations). The following aspects will be discussed: the interaction between the various games of the JDM environment, some inference mechanisms of relations and rules, word polarity and sentiments, and some ethical aspects. Some specific aspects of the JDM lexical network are detailed, such as : refinements, aggregated terms, inhibitory relations and relation annotations.
M. Lafourcade, A. Joubert (2015) TOTAKI: A Help for Lexical Access on the TOT Problem. In Gala, N., Rapp, R. et Bel-Enguix, G. éds. (2015), Language Production, Cognition, and the Lexicon. Festschrift in honor of Michael Zock. Series Text, Speech and Language Technology XI. Dordrecht, Springer. 586 p. 140 illus. ISBN: 978-3-319-08042-0. (pp. 95-112)
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diff --git a/events/seminars/2017-02-20/Asad-Sayeed-Semantic/index.html b/events/seminars/2017-02-20/Asad-Sayeed-Semantic/index.html
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The Centre for Linguistic Theory and Studies in Probability
While general knowledge of the world plays a role in language use, language processing in humans is also guided by formal intuitions about linguistic representation. In this talk, I discuss research results in finding the boundaries between world knowledge and formalism-driven intuitions and situate them in the context of a larger research program in computational psycholinguistics.
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The first result focuses on the semantics of predicates and their arguments and how they are interpreted by the human processor. English-speaking human raters judge doctors as more appropriate givers of advice than recipients and lunches as much more appropriate objects of "eat" than subjects. One of my recent projects resulted in the development of vector-space and neural network models of predicate-argument relations that model that succeed in achieving high correlations with human ratings.
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The second result is about the interaction of world knowledge with higher order semantics. English-speakers tend to judge that the sentence "every child climbed a tree" refers to more than one tree, while "every jeweller appraised a diamond" is comparatively more likely to refer to a single diamond, based on their knowledge of trees and diamonds. Recent experimental results in the literature are ambivalent on the extent to which formal structure affects the power of world knowledge to influence these judgements. In response to this, I describe a recent judgement study I conducted using German scrambling that suggests a significant effect of formal representation on the plural interpretation of an object argument given a universally-quantified subject.
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Both of these research efforts reveal underlying questions about the influence of world knowledge on linguistic representations and suggest ways to answer them.
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diff --git a/events/seminars/2017-03-01/Kristina-Liefke-Relating/index.html b/events/seminars/2017-03-01/Kristina-Liefke-Relating/index.html
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The Centre for Linguistic Theory and Studies in Probability
Relating Theories of Formal Semantics: established methods and surprising results
Formal semantics comprises a plethora of theories which interpret natural language through the use of di¿erent ontological primitives (e.g. possible worlds, situations, individual concepts, unanalyzable propositions). The ontological relations between these theories are, today, still largely unexplored. In particular, it remains unclear whether the basic objects of some of these theories can be coded in terms of objects from other theories (s.t. phenomena which are modeled by one theory can also be modeled by the other theories) or whether some of these theories can even be reduced to ontologically poor(er) theories (e.g. extensional semantics) which do not contain ¿special¿ objects like possible worlds.
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This talk surveys my recent work on ontological reduction relations between formal semantic theories. This work shows that, more than preserving the modeling success of the reduced theory, some reductions even improve upon the theory's modeling adequacy or widen the theory's modeling scope. My talk illustrates this observation by two examples: (i) the relation between Montague-/possible world-style intensional semantics and extensional semantics (cf. Liefke and Sanders 2016), and (ii) the relation between intensional semantics and situationbased single-type semantics (cf. Liefke and Werning, in revision). The first relation established through the use of associates from higher-order recursion theory.
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diff --git a/events/seminars/2017-03-20/Hannes-Rieser-Process/index.html b/events/seminars/2017-03-20/Hannes-Rieser-Process/index.html
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The Centre for Linguistic Theory and Studies in Probability
A Process Algebra Account of Speech-Gesture Interaction
The talk is based on extensive corpus work dealing with the interaction of gesture and speech in natural route-description dialogues. The issue discussed is how non-regimented gesture and speech processes can be modelled in a formal system. The main argument in the talk is that this cannot be achieved in structural paradigms currently in use. The proposal is to turn instead to process algebras in the tradition of Milner's pi-calculus. The special algebra discussed in the talk is a newly developed hybrid lambda-psi calculus which can transport typed lambda-expressions over communicating input-output channels. Central for the account is the notion of agent: Agents encode speech information, gesture information or both. They can put information on channels and send it to other channels or take information from others and combine it with the information they have. Speech-gesture interaction is conceptualised via channel interactions of this sort. Interactions are allowed, postponed or blocked using a typing system. Successful communication among agents leads to a multi-modal meaning representation serving as logical form.
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Bibliography: Rieser, H. (2014). Gesture and Speech as Autonomous Communicating Processes. Talk at the Stuttgart Workshop on "Embodied meaning goes public". Stuttgart University, December 2014 Rieser, H. (2015). When Hands Talk to Mouth. Gesture and Speech as Autonomous Communicating Processes. Proceedings of Semdial 2015, Gothenburg Rieser, H. (2017). A Process Algebra Account of Speech-Gesture Interaction. Preliminary version. Ms, Bielefeld University
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diff --git a/events/seminars/2017-03-22/Eleni-Gregoromichelaki-Ad/index.html b/events/seminars/2017-03-22/Eleni-Gregoromichelaki-Ad/index.html
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The Centre for Linguistic Theory and Studies in Probability
Ad hoc grammatical categorisation in Dynamic Syntax
The view of NLs as codes mediating a mapping between "expressions" and the world is abandoned to give way to a view where utterances are seen as actions aimed to locally and incrementally alter the affordances of the context. Such actions employ perceptual stimuli composed not only of "words" and "syntax" but also elements like visual marks, gestures, sounds, etc. Any such stimuli can participate in the domain-general processes that constitute the "grammar", whose function is the dynamic categorisation of various perceptual inputs and their integration in the process of generating the next action steps. Given these assumptions, a challenge that arises is how to account for the reification of such processes as exemplified in apparent metarepresentational practices like quotation, reporting, citation etc. It is argued that even such phenomena can receive adequate and natural explanations through a grammar that allows for the ad hoc creation of occasion-specific content through reflexive mechanisms.
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diff --git a/events/seminars/2017-05-02/Herbert-H.-Clark-On/index.html b/events/seminars/2017-05-02/Herbert-H.-Clark-On/index.html
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The Centre for Linguistic Theory and Studies in Probability
On the rational basis of communication
Presented by: Herbert H. Clark
Duration: 2 hours
On: 02 May, 2017
Location: Gothenburg
Communication is often said to be a rational behavior. As Grice (1975) put it, "Talking [is] a special case or variety of purposive, indeed rational behavior." But what does it mean for a behavior to be rational? I will contrast two notions of rationality as they have been applied to language use, one cooperative (à la Grice) and the other interactive, and argue that both are legitimate. I will show how the interactive model, based on one type of rationality, accounts for a wide range of phenomena that are complementary for those accounted for in a Gricean cooperative model.
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diff --git a/events/seminars/2017-05-04/Herbert-Clark-Performing/index.html b/events/seminars/2017-05-04/Herbert-Clark-Performing/index.html
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The Centre for Linguistic Theory and Studies in Probability
Performing depictions in everyday discourse
Presented by: Herbert Clark
Duration: 2 hours
On: 04 May, 2017
Location: Gothenburg
Depicting is a basic method of communication on a par with describing and pointing (or indicating). The idea is that people use their hands, arms, head, face, eyes, voice, and body, with and without props, to stage physical scenes for others, generally as composite parts of utterances along with describing and pointing. Performing depictions, I will show, is inherently interactive, and people choose depictions to communicate things they could not do with language or pointing.
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diff --git a/events/seminars/2017-05-05 (2)/Eve-Clark-Language/index.html b/events/seminars/2017-05-05 (2)/Eve-Clark-Language/index.html
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The Centre for Linguistic Theory and Studies in Probability
Children acquire language as they interact with adults from infancy onwards. Adults-parents and caretakers-are 'expert speakers' and they guide children's earliest steps in interaction, from gaze, to smiles, to reaching, to attempting to communicate. Although very young children can communicate some things early on by pointing and reaching, or by pushing things away, the nonverbal options here are limited in scope. Language offers a lot more. But to acquire language, children need extensive exposure in interaction. In this talk, I will review some of the evidence for how children manage the complex feat of acquiring the basics of a language and how to use it, by around age four- but just the basics. The process of acquiring a language, for all the things we can learn to do with language, lasts a good deal longer.
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The Centre for Linguistic Theory and Studies in Probability
Language as (Graded) Expertise
Presented by: Eve Clark
Duration: 2 hours
On: 05 May, 2017
Location: Gothenburg
Just as in the acquisition of other forms of expertise, learning a first language depends on three essential ingredients: exposure, practice, and feedback. Young children are exposed to the community language; they practice it in interaction with more expert speakers from around the age of 1, and they receive feedback on their practice. Fior example, adults check up on their errors with reformulations in the shape of side-sequences and embedded corrections. Adults also offer feedback on appropriate usage, ratifying the information being added to common ground. Finally, in L1 acquisition, children are learning just what one can and can't do with language, as they learn to understand and produce it. In L2 acquisition, learners typically receive much less exposure in interactive settings, receive less feedback timed to pinpoint specific errors, and have less opportunity for practice in truly interactive settings.
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diff --git a/events/seminars/2017-05-10/David-Schlangen-Learning/index.html b/events/seminars/2017-05-10/David-Schlangen-Learning/index.html
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The Centre for Linguistic Theory and Studies in Probability
Learning and Maintaining a Lexicon for Situated Interaction
Presented by: David Schlangen
Duration: 2 hours
On: 10 May, 2017
Location: Gothenburg
If, when asked to "point at the mug", a physically unimpaired person seems unable to identify a potential referent that is standing in front of them, we might hesitate to ascribe knowledge of the meaning of the word "mug" to them, whatever else they may be able to tell us about mugs(e.g., "wooden mugs were produced probably from the oldest time, but most of them have not survived intact.", or "mugs are similar to cups"). And yet computational models of word meaning are good at the latter (e.g., by simply linking to knowledge repositories like wikipedia, where the previous sentence about wooden mugs was taken from), and fail at theformer.
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In this talk, I will present our recent work at learning a lexicon for referential interaction, where the referential aspects of word meaning are modelled through perceptual classifiers taking real images as input. I show that this representation complements other computational meaning representations such as those derived from distributional patterns, as well as decompositional or attribute-based representations. The lexicon is learned through (observation of) interaction, and is maintained and defended in interaction.
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diff --git a/events/seminars/2017-05-29/Judith-Holler-On/index.html b/events/seminars/2017-05-29/Judith-Holler-On/index.html
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The Centre for Linguistic Theory and Studies in Probability
On the pragmatics of face-to-face communication: the role of the body in social cognition and social interaction
Coordination is at the heart of human conversation. In order to interact with one another through talk, we must coordinate at many levels, first and foremost at the level of our mental states, intentions and conversational contributions. In this talk, I will present findings on the pragmatics of multi-modal communication from both production and comprehension studies. In terms of production, I will, firstly, throw light on how co-speech gestures are used in the coordination of meaning to allow interactants to arrive at a shared understanding of the things they talk about, and, secondly, on how gesture and gaze are employed in the coordination of speaking turns in spontaneous conversation, with special reference to the psycholinguistic and cognitive challenges that turn-taking poses. In terms of comprehension, I will focus on communicative intentions and the interplay of ostensive and semantic multi-modal signals in triadic communication contexts. My talk will bring these different findings together to make the argument for richer research paradigms that capture more of the complexities and sociality of face-to-face conversational interaction. Advancing the field of multi-modal communication in this way will allow us to more fully understand the psycholinguistic processes that underlie human language use and language comprehension.
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diff --git a/events/seminars/2017-09-13/Sharid-Loaiciga-What/index.html b/events/seminars/2017-09-13/Sharid-Loaiciga-What/index.html
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The Centre for Linguistic Theory and Studies in Probability
What is it? Disambiguating the different readings of the pronoun 'it'
Machine translation of pronouns is problematic for different reasons. Languages differ in their pronoun systems, creating mismatches in features like gender, number, case, formality, animacy and overtness. Another reason is functional ambiguity. Some pronouns have the same surface form but different functions. In this talk, I will address the problem of predicting one of three functions of the English pronoun 'it': anaphoric (e.g., 'The party ended late. It was fun.'), event reference (e.g., 'He can't speak Finnish. It annoys me.') and pleonastic (e.g., 'It's been raining all day.').
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I will present experiments using a maximum entropy classifier (MaxEnt) trained on gold-standard data and self-training experiments with a recurrent neural network classifier (RNN) trained on silver standard data, annotated using the MaxEnt classifier. I will show an analysis demonstrating that these models, rather than one being better than the other, have different strengths. I will also present an example of the integration of source pronoun function into an n-gram language model used for target pronoun translation prediction.
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The it-disambiguation task is valuable for MT but also for the field of coreference resolution. Standard coreference resolution systems focus on identifying nominal-referential instances, de facto grouping together and discarding the event and pleonastic categories. Linguistically, however, event instances are also referential. I will finish the talk by brainstorming some ideas about how to integrate my work into this field.
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diff --git a/events/seminars/2017-10-25/Aleksandre-Maskharashvili-Abstract/index.html b/events/seminars/2017-10-25/Aleksandre-Maskharashvili-Abstract/index.html
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The Centre for Linguistic Theory and Studies in Probability
An Abstract Categorial Grammar Approach to the Discourse Modeling
Various theories have been proposed in order to analyze a discourse in terms of rhetorical (discourse) relations. The main assumption in those theories is that every meaningful piece of a felicitous discourse is related to some piece of that discourse with a rhetorical relation. This gives rise to a notion of a rhetorical (discourse) structure. In order to analyze a discourse, both from the parsing and structural points of view, formal grammars of discourse, D-STAG and D-LTAG, were proposed. They build their discourse grammars on top of sentence-level grammars. Discourse connectives are main lexical means for expressing rhetorical relations. They play a similar role in discourse grammars as words do in sentence-level grammars. A discourse connective may appear inside a clause (a clause-medial position) or in front of a clause (a clause-initial position). The grammars of D-STAG and D-LTAG are capable of modeling cases where discourse connectives occupy only clause-initial positions. To process discourses where a discourse connective appears at a clause-medial position, D-STAG and D-LTAG make use of preprocessing of a discourse, which involves moving connectives from clause-medial positions to clause-initial ones. Afterwards, the grammars of D-STAG and D-LTAG can be employed to parse the discourse and simultaneously construct its rhetorical structure. Thus, D-STAG and D-LTAG, each makes use of a two-step process to analyze a discourse. We develop a single-step, purely grammatical approach for analyzing a discourse. Our framework is Abstract Categorial Grammars (ACGs). Our encoding falls into the class of second-order ACGs, which guarantees that the tasks of discourse parsing and generation are of polynomial complexity. In addition, our encoding puts together the discourse-level and sentence-level grammars within a single grammar. This makes our approach beneficial for reducing problems related to ambiguity that arise in the case of treating the discourse-level and sentence-level grammars separately.
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diff --git a/events/seminars/2017-11-17/Maxime-Amblard-Formal/index.html b/events/seminars/2017-11-17/Maxime-Amblard-Formal/index.html
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The Centre for Linguistic Theory and Studies in Probability
This talk will present the project SLAM (Schizophrenia and Language - Analyse and Modelling). Since 2011, we build and analyse a corpus of interviews of patient with schizophrenia, in french. Schizophrenia is well-known among mental illnesses for the severity of the thought disorders it involves, and for their widespread and spectacular manifestations ranging from deviant social behavior to delusion, not to mention affective and sensory distortions. The goal of the SLAM project is twofold: (i) to discuss how the concepts of rationality and logicality may apply to conversational contexts in which one of the speakers is a patient with schizophrenia, and (ii) to use logical framework to model specific manifestations, namely disorders in conversational speech.
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Our data are taken from transcriptions of real conversations between a psychologist and a patient with schizophrenia. Data collection and selection relied on theoretical hypotheses from psychiatry and psychopathology. Confronted with such a pathological conversation, any "ordinary" speaker intuitively feels that there are some incoherencies or discontinuities. We use a DRT (Kamp and Reyle 1993) like semantics in order to propose an interpretation model for such incongruities.
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On our recent works, we focus on the extension of compositional semantics based on TTDL (de Groote 2006), a lambda-calculus with continuations. One of our research project is to develop TTDL for Dialogue, in the same perspective as TTR (Cooper and Ginzburg 2002, Cooper 2004, Cooper and Ranta 2008). (Another one is the french translation of the Fracas resource, but it is not directly rely to SLAM)
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The talk will present the SLAM corpus and project, and then (briefly) sketch the on-going works.
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diff --git a/events/seminars/2017-12-13/Rasmus-Blanck-Rough/index.html b/events/seminars/2017-12-13/Rasmus-Blanck-Rough/index.html
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The Centre for Linguistic Theory and Studies in Probability
Rough sets were introduced by Pawlak in 1982, as a generalisation of classical set theory. A rough set is characterised by its upper and lower approximation, respectively, the objects that might belong to the set, and the objects that surely belong to the set. Although this approach has some similarities with fuzzy set theory, the perceived fuzziness of rough sets does not come from an underlying fuzzy logic, making rough sets a little less fuzzy than fuzzy sets.
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In this talk, I will entertain the possibility that rough sets can be used to model degree modifiers. After an introduction to rough set theory, I will briefly discuss its relation to fuzzy set theory, and point out some possible advantages of rough sets. Finally, I will reintroduce some fuzziness by generalising to probabilistic rough sets.
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diff --git a/events/seminars/2018-03-08 (2)/Dag-Haug-Glue/index.html b/events/seminars/2018-03-08 (2)/Dag-Haug-Glue/index.html
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The Centre for Linguistic Theory and Studies in Probability
In this talk I explore the use of techniques from Glue semantics for composing meaning representations based on Universal Dependencies (UD) syntactic structures. The UD tree is rewritten as meaning constructors consisting of a lambda term over DRSs and a linear logic formula that guides the semantic composition. Unlike many other frameworks, Glue semantics does not presuppose a one-to-one mapping from syntax to semantics, which is useful when dealing with highly underspecified syntactic representations of the UD kind.
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diff --git a/events/seminars/2018-03-08/Stephan-Oepen-Holes/index.html b/events/seminars/2018-03-08/Stephan-Oepen-Holes/index.html
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The Centre for Linguistic Theory and Studies in Probability
Holes in Meaning Construction with Minimal Recursion Semantics
In joint work with Dan Flickinger, we provide a semi-formal review of the meaning construction process in the English Resource Grammar (ERG), which derives underspecified logical-form meaning representations for a broad range of lexical classes and syntactico-semantic constructions in English. We critically revise and extend the proposal for an MRS algebra by Copestake et al. (2001;ACL) and speculate about the applicability of ERG-style meaning construction to the more coarse-grained syntactic analyses of enhanced Universal Dependencies.
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diff --git a/events/seminars/2018-03-12/Sam-Bowman-Two/index.html b/events/seminars/2018-03-12/Sam-Bowman-Two/index.html
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The Centre for Linguistic Theory and Studies in Probability
Two Early Efforts toward Using Deep Learning in Syntax and Semantics
This talk will present two ongoing projects that aim to lay the groundwork to use results from artificial neural networks research in NLP to inform research on core linguistic questions. The first project (based partially on WIlliams et al. 2017) concerns latent tree learning: efforts to discover the optimal tree structures for use in guiding semantic composition for applied language understanding tasks. The second concerns the evaluation of simple neural network models on the classic linguistic acceptability judgments task. This project (in progress, with Alex Warstadt) builds on Lau, Clark, and Lappin '16, and introduces a new dataset of expert acceptability judgments and a new suite of semi-supervised learning experiments with neural networks.
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ReferencesWilliams, Adina, Andrew Drozdov, and Samuel R. Bowman. "Learning to parse from a semantic objective: It works. Is it syntax?." arXiv preprint arXiv:1709.01121 (2017).
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Lau, Jey Han, Alexander Clark, and Shalom Lappin. "Grammaticality, acceptability, and probability: a probabilistic view of linguistic knowledge." Cognitive Science 41.5 (2017): 1202-1241.
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diff --git a/events/seminars/2018-03-15/Sam-Bowman-Sentence/index.html b/events/seminars/2018-03-15/Sam-Bowman-Sentence/index.html
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The Centre for Linguistic Theory and Studies in Probability
Sentence Understanding with Neural Networks and Natural Language Inference
Artificial neural networks now represent the state of the art in most large-scale applied language understanding tasks. This talk presents a few methods and results, organized around the task of recognizing textual entailment, which measure the degree to which these models can or do learn something resembling compositional semantics. I discuss experiments on artificial data and on a hand-built million-example corpus of natural data (SNLI/MultiNLI), and report encouraging results.
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ReferencesBowman, Samuel R., Christopher Potts, and Christopher D. Manning. "Recursive neural networks can learn logical semantics." arXiv preprint arXiv:1406.1827 (2014).
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diff --git a/events/seminars/2018-05-14/Richard-Sproat-computational/index.html b/events/seminars/2018-05-14/Richard-Sproat-computational/index.html
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The Centre for Linguistic Theory and Studies in Probability
This paper reports on a computational simulation of the evolution of early writing systems from pre-linguistic symbol systems, something for which there is poor evidence in the archaeological record. The simulation starts with a completely concept-based set of symbols, and then spreads those symbols and combinations of these to morphemes of artificially generated languages based on semantic and phonetic similarity.
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While the simulation is crude, it is able to account for the observation that the development of writing systems ex nihilo seems to be facilitated in languages that have largely monosyllabic morphemes, or that have abundant ablauting processes. We are also able to model what appears to be two possible lines of development in early writing whereby symbols are associated to the sounds of all morphemes linked to a concept (as seems to have been the case in Sumerian), versus just one morpheme linked to a concept (as seems to have been the case in Chinese). Finally, the model is able to offer an account of the apparent rapid development of writing in Mesopotamia that obviates the need to posit a conscious invention of writing, as proposed by Jean-Jacques Glassner. The proposed model thus opens a new approach to thinking about the emergence of writing and its properties, something that, as noted above, has scant direct archaeological evidence.
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The software is released open-source on GitHub.
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diff --git a/events/seminars/2018-05-16/Richard-Sproat-Induction/index.html b/events/seminars/2018-05-16/Richard-Sproat-Induction/index.html
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The Centre for Linguistic Theory and Studies in Probability
Induction of Finite-State Covering Grammars for Text Normalization (joint work with Kyle Gorman)
In this talk I will introduce our work on applying neural methods to the problem of text normalization. Though the performance of the system overall is good, it is prone to what we term "silly errors", where for example, "2mA" is read as "two million liters". We have found that finite-state covering grammars are useful for mitigating such errors, and I will discuss induction of such covering grammars from data. I start with presenting our work on inducing grammars for number names (123 verbalized as one hundred (and) twenty three). This work draws inspiration from the (small) linguistics literature on number names, and our method allows one to train finite-state transducers with small amounts of data (a few hundred examples). I will compare the performance with that of an RNN trained on orders of magnitude more data. I will then report on our ongoing work on inducing grammars for a wider range of text normalization problems.
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diff --git a/events/seminars/2018-10-03/Rasmus-Blanck-Compositional/index.html b/events/seminars/2018-10-03/Rasmus-Blanck-Compositional/index.html
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The Centre for Linguistic Theory and Studies in Probability
A Compositional Bayesian Semantics for Natural Language
We propose a compositional Bayesian semantics that interprets declarative sentences in a natural language by assigning them probability conditions. These are conditional probabilities that estimate the likelihood that a competent speaker would endorse an assertion, given certain hypotheses. Our semantics is implemented in a functional programming language. It estimates the marginal probability of a sentence through Markov Chain Monte Carlo (MCMC) sampling of objects in vector space models satisfying specified hypotheses. We apply our semantics to examples with several predicates and generalised quantifiers, including higher-order quantifiers. It captures the vagueness of predication (both gradable and non-gradable), without positing a precise boundary for classifier application. We present a basic account of semantic learning based on our semantic system. We compare our proposal to other current theories of probabilistic semantics, and we show that it offers several important advantages over these accounts.
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diff --git a/events/seminars/2018-10-10/Mehdi-Ghanimifard-Spatial/index.html b/events/seminars/2018-10-10/Mehdi-Ghanimifard-Spatial/index.html
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The Centre for Linguistic Theory and Studies in Probability
Understanding and generating spatial descriptions requires, among other things, knowledge about how objects are related geometrically. The wide usage of neural language models in different areas, including in generation of scene descriptions, motivates our study how spatial geometric knowledge is encoded in them. We first examine how spatial descriptions are attended by state of the art model of attention in CNNs. We argue that adaptive attention is good at predicting what the objects are but less good on how they relate geometrically. Then we explore different models of encoding explicit spatial information in an end-to-end scene description model. We summarize with the implications of this work for improving image captioning system.
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diff --git a/events/seminars/2018-10-17/Vlad-Maraev-Towards/index.html b/events/seminars/2018-10-17/Vlad-Maraev-Towards/index.html
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The Centre for Linguistic Theory and Studies in Probability
Towards KoS/TTR-based proof-theoretic dialogue management (joint work with: Jonathan Ginzburg (Université Paris Diderot), Staffan Larsson, Ye Tian (Amazon Research), Jean-Philippe Bernardy)
This paper presents the first attempt to implement a dialogue manager based on the KoS framework for dialogue context and interaction. We utilise our own proof-theoretic implementation of Type Theory with Records (TTR) and implement a basis dialogue that involves mutual greeting. We emphasize the importance of findings in dialogue theory for designing dialogue systems which we illustrate by sketching an account for question-answer relevance.
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diff --git a/events/seminars/2018-10-22/Marco-Baroni-Tabula/index.html b/events/seminars/2018-10-22/Marco-Baroni-Tabula/index.html
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The Centre for Linguistic Theory and Studies in Probability
Tabula nearly rasa: Probing the linguistic knowledge of character-level neural language models trained on unsegmented text (work in collaboration with Michael Hahn)
As recurrent neural networks (RNNs) have recently reached striking performance levels in a variety of natural language processing tasks, there has been a revival of interest in whether these generic sequence processing devices are effectively capturing linguistic knowledge. Nearly all studies of this sort, however, initialize the RNNs with a vocabulaty of known words, and feed them tokenized input during training. We are instead running an extensive, multi-lingual (English/German/Italian) study of the linguistic knowledge induced by RNNs trained at the character level on input data with whitespace removed. Our networks, thus, face a tougher and more cognitively realistic task, having to discover all the levels of the linguistic hierarchy from scratch. Our current results show that these "near tabula rasa" RNNs are implicitly encoding a surprising amount of phonological, lexical, morphological, syntactic and semantic information, opening the doors to intriguing speculations about the degree of prior knowledge that is necessary for succesful language learning.
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diff --git a/events/seminars/2018-10-24/Marco-Baroni-Systematic/index.html b/events/seminars/2018-10-24/Marco-Baroni-Systematic/index.html
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The Centre for Linguistic Theory and Studies in Probability
Systematic compositionality in recurrent neural networks (and, if time allows, humans) (joint work with Brenden Lake, João Loula, Adam Liska, Germán Kruszewski, Tal Linzen)
Recurrent neural networks (RNNs) are remarkably general learning systems that, given appropriate training examples, can handle complex sequential processing tasks, such as those frequently encountered in language and reasoning. However, RNNs are remarkably sample-heavy, typically requiring hundreds of thousands of examples to master tasks that humans can solve after just a few exposures. The first set of experiments I will present shows that modern RNNs, just like their nineties ancestors, have problems with systematic compositionality, that is, the ability to extract general rules from the training data, and combine them to process new examples. As systematic compositionality allows very fast generalization to unseen cases, lack of compositional learning might be one root of RNNs training data thirst. I will next present a study where RNNs must solve an apparently simple task where correct generalization relies on function composition. The results suggest that a large random search in RNN space finds a small portion of models that converged to a (limited) compositional solution. Finally, if time allows, I will present ongoing work in which we study the compositional abilities of human subjects, trying to uncover the priors that subtend their generalization skills.
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diff --git a/events/seminars/2018-10-31/Bill-Noble-Measuring/index.html b/events/seminars/2018-10-31/Bill-Noble-Measuring/index.html
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The Centre for Linguistic Theory and Studies in Probability
Measuring linguistic style alignment: Social and psychological perspectives
In conversation, speakers tend to adapt their speech to be more similar to that of their interlocutor. Such alignment is observed across various linguistic phenomena. In this talk, we will consider linguistic style alignment and some ways to measure it. We will also explore whether lingistic style alignment is sensitive to social factors, such as social network centrality, or if it can be explained by automatic psychological priming alone.
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diff --git a/events/seminars/2018-11-14/Patrick-Blackburn-clarification/index.html b/events/seminars/2018-11-14/Patrick-Blackburn-clarification/index.html
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The Centre for Linguistic Theory and Studies in Probability
The clarification potential of instructions: Predicting clarification requests
Presented by: Patrick Blackburn
Duration: 2 hours
On: 14 Nov, 2018
Location: Gothenburg
Slides
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The hypothesis motivating this talk is that conversational implicatures are an important source of clarification requests, and in this talk I will do two main things. First, I will motivate the hypothesis in theoretical, practical and empirical terms and formulate it as a concrete Clarification Potential Principle: implicatures may become explicit as fourth-level clarification requests. Second, I will present a framework for generating the clarification potential of an instruction by inferring its conversational implicatures with respect to a particular context. I will discuss the evaluation of the framework, illustrate its performance using a human-human corpus of situated conversations, and argue that much of the inference required can be handled using classical planning.
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This talk is based on joint work with Luciana Benotti of Logic, Interaction and Intelligent Systems Group, Universidad Nacional de Córdoba, Argentina.
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Many of the main ideas can be found in the paper: Modeling the clarification potential of instructions: Predicting clarification requests and other reactions, by Luciana Benotti and Patrick Blackburn, Computer Speech & Language 45: 536-551 (2017)
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diff --git a/events/seminars/2018-11-20/Ielka-van-der-Sluis-PAT/index.html b/events/seminars/2018-11-20/Ielka-van-der-Sluis-PAT/index.html
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The Centre for Linguistic Theory and Studies in Probability
The PAT project: Annotation and Evaluation of Pictures and Text
In this talk I will present the PAT project in which we investigate the use, effects and optimisation of documents that contain pictures and text (PAT). While the benefit of including pictures has been established, the design of pictures, text, and picture-text relation(s) has not been researched in a systematic manner. PAT aims to gain an in-depth understanding of their characteristics to augment existing theories on cognitive processing of multimodal presentations. Resulting models will be validated by implementing them in natural language generation algorithms and comparing their output to human-authored presentations.
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The PAT project launches a methodical investigation of multimodal instructions (MIs) used in first-aid practices to help people in need. Currently, there are no guidelines for the design of MIs that effectively instruct people to operate an AED, place a victim in a recovery position, remove ticks etc. The huge variations in pictorial and verbal means employed in these instructions demonstrate the urgency to obtain validated guidelines based on empirical evidence collected from readers and users. Investigating multimodality in these MIs allows us to evaluate the effectiveness of combining pictures and text in a practical context focussing on e.g. attention, comprehension, recall, user judgements, and task performance.
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The PAT project makes use of a annotated corpus of MIs and a workbench that has been developed for the annotation and retrieval of the MIs. The MIs are first-aid instructions that appear in Het Oranje Kruisboekje and variations of these instructions from other sources, like hospitals, health and safety organisations and the internet.
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In the PAT project approaches from Information Design Research and Computational Linguistics employing corpus collection and analysis, (automatic) annotation, experimentation, and natural language generation are combined. The project will deliver theoretical results in terms of empirically validated models for effective MIs. Results of practical value include new annotated multimodal corpora, implemented taggers to automatically annotate potentially effective properties of MIs, algorithms to automatically generate effective text-picture combinations and authoring guidelines to produce good quality instructions.
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diff --git a/events/seminars/2018-11-21/Bartosz-Wieckowski-Intuitionistic/index.html b/events/seminars/2018-11-21/Bartosz-Wieckowski-Intuitionistic/index.html
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The Centre for Linguistic Theory and Studies in Probability
Intuitionistic multi-agent subatomic natural deduction for belief and knowledge
In this talk, we will consider a natural deduction system which aims at the proof-theoretic analysis of reasoning with complex multi-agent belief (resp. knowledge) constructions (involving, e.g., forms of reciprocating or universal belief, or intentional identity). Making use of a normalization result for the system, we shall propose a proof-theoretic semantics for the intensional operators for intuitionistic belief and knowledge which explains their meaning entirely by appeal to the structure of derivations. Since the system enjoys the subexpression property, a refinement of the subformula property, it is fully analytic. We will also compare this approach to the logic and semantics of belief and knowledge with other intuitionistic approaches.
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diff --git "a/events/seminars/2018-11-28/Devdatt-Dubhashi,-Mikael-K\303\245geb\303\244ck-and-Asad-Sayeed-Learning/index.html" "b/events/seminars/2018-11-28/Devdatt-Dubhashi,-Mikael-K\303\245geb\303\244ck-and-Asad-Sayeed-Learning/index.html"
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The Centre for Linguistic Theory and Studies in Probability
Learning (a language) to Communicate Efficiently
Presented by: Devdatt Dubhashi, Mikael Kågebäck and Asad Sayeed
Although languages vary enormously, there are nevertheless universal tendencies in word meanings, such that similar or identical meanings often appear in unrelated languages. A major question is how to account for such semantic universals and variation of the lexicon in a principled and unified way. An influential approach to this question proposes that word meanings may reflect adaptation to pressure for efficient communication -- this principle holds that languages are under pressure to be simultaneously informative (so as to support effective communication) and simple (so as to minimize cognitive load). We offer computational support for this principle in the domain of color words i.e, how languages partition the semantic space of colours by linguistic terms. Our framework uses reinforcement learning for automated agents to generate partitions that are efficient and consistent with those found in many languages in the World Colour Survey. We argue that our framework provides a flexible and powerful tool to address similar fundamental questions about universals in other domains as well.
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diff --git a/events/seminars/2018-12-03/Zhaohui-Luo-Universes/index.html b/events/seminars/2018-12-03/Zhaohui-Luo-Universes/index.html
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The Centre for Linguistic Theory and Studies in Probability
In type theory, a universe is a type of types. Universes play important roles when modern type theories (MTTs) are employed as foundational languages for linguistic semantics. In this talk, I'll report work on two kinds of universes in the study of MTT-semantics. The first kind may be called linguistic universes which include CN, the universe of common nouns, and LType, the universe employed in the study of coordination. It is shown how they are introduced and used in semantic studies and, in particular, their usefulness is reflected in how they facilitate \Pi-polymorphism in various semantic formalisations.
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I shall then study logical universes. In order to formulate MTT-semantics adequately, proof irrelevance needs to be enforced in the underlying type theory. For example, in type theory UTT, this is possible because there is the universe Prop of all logical propositions. However, in Martin-Löf's type theory, this is impossible because types and propositions are identified in MLTT. I propose that the extension of MLTT with h-logic, as developed in the HoTT project, can be used adequately as a foundational language for MTT-semantics, since there is a built-in notion of proof irrelevance in h-logic.
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diff --git a/events/seminars/2018-12-05/Zhaohui-Luo-Dependent/index.html b/events/seminars/2018-12-05/Zhaohui-Luo-Dependent/index.html
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The Centre for Linguistic Theory and Studies in Probability
This talk studies how dependent types can be employed for a refined treatment of event types, offering a nice improvement to Davidson's event semantics. We consider dependent event types indexed by thematic roles (DETs) and illustrate how, in the presence of refined event types, subtyping plays an essential role in semantic interpretations.
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Two applications of DETs are studied. The first shows that DETs give a natural solution to an incompatibility problem (sometimes called event quantification problem) in combining event semantics with the traditional compositional semantics. The second concerns selectional restriction: it is shown that DETs offer flexible but nice treatments of selectional restriction in the MTT-semantic setting with events.
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diff --git a/events/seminars/2018-12-12/Andy-Luecking-Turning/index.html b/events/seminars/2018-12-12/Andy-Luecking-Turning/index.html
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The Centre for Linguistic Theory and Studies in Probability
Some expressions seem to be more context-sensitive than others, namely indexical and demonstrative ones. Both kinds of expressions have a conspicuous commonality, however: they tend to co-occur or even are replaced by a non-verbal act such as a hand-and-arm gesture. Indicating can be achieved by pointing, demonstrating by an iconic gesture. Taking gestures semantically serious, it is claimed, entails modifications in the linguistic theorising on how context can turn into meaning. Based on experimental results, it is -- contrary to standard Kaplanian claims -- argued that pointing gestures do not give rise to direct reference, but rather serve a descriptive, locative function. This reconsideration of reference has repercussions on the standard two-stage view on deferred reference, which are discussed and tentatively solved. A semantic account to iconic gestures is derived from event metaphysics, leading to "locomotor propositions" consisting of a situation-semantic judgment involving a gesture event and a semantic type. Combining co-speech gestures with plural noun phrases (NPs) also runs into difficulties: NPs standardly modelled as generalised quantifiers do not provide discourse referents (DRs) as requires for multimodal integration. Accordingly and finally, a theory of quantified noun phrases is presented, that provides the required DRs and in this sense is "referentially transparent".
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diff --git a/events/seminars/2018-12-19/Riza-Batista-Detecting/index.html b/events/seminars/2018-12-19/Riza-Batista-Detecting/index.html
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The Centre for Linguistic Theory and Studies in Probability
Detecting semantic similarity between human-articulated statements and Quranic verses
As the book of religious teachings of Islam, the Quran is frequently cited on many platforms, e.g., on social media, in web sites, and in public speeches or interviews. As such, the Quran has become susceptible to misinterpretation ---intentional or otherwise---in human-articulated statements citing Quranic verses. This can also be attributed to the fact that Quranic verses have a high level of linguistic sophistication. For example, metaphors are often used in the Quran, especially as a means for persuasion. In our work, we seek to determine how close a human-articulated statement is to its cited Quranic verse. To this end, we are developing an approach based on the measurement of semantic similarity between any given pair of texts: a human-articulated statement and a verse from what is considered as a gold standard English version of the Quran. Specifically, we are automatically detecting metaphors in the statements, with the aim of assessing whether they are correct translations. As a supporting resource for development and evaluation, we are leveraging a manually annotated corpus consisting of 300 pairs of statements and verses.
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diff --git a/events/seminars/2019-02-06/Vlad-Maraev,-Predicting/index.html b/events/seminars/2019-02-06/Vlad-Maraev,-Predicting/index.html
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The Centre for Linguistic Theory and Studies in Probability
In this talk, we address the task of predicting spaces in interaction where laughter can occur. We introduce the new task of predicting actual laughs in dialogue and address it with various deep learning models, namely recurrent neural network (RNN), convolution neural network (CNN) and combinations of these. We also attempt to evaluate human performance for this task via an Amazon Mechanical Turk (AMT) experiment. The main finding of the present work is that deep learning models outperform untrained humans in this task.
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diff --git a/events/seminars/2019-02-13/Kathrein-Abu-Kwaik,-Lexical/index.html b/events/seminars/2019-02-13/Kathrein-Abu-Kwaik,-Lexical/index.html
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The Centre for Linguistic Theory and Studies in Probability
We conduct a computational cross dialectal lexical distance study to measure the similarities and differences between the Arabic dialects and the MSA. We exploit several methods from Natural Language Processing (NLP) and Information Retrieval (IR) like Vector Space Model (VSM), Latent Semantic Indexing (LSI) and Hellinger Distance (HD), and apply them on different Arabic dialectal corpora. We measure the overlap among all the dialects and compute the frequencies of the most frequent words in every dialect. The results are informative and indicate that Levantine dialects are very similar to each other and furthermore, that Palestinian appears to be the closest to MSA.
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diff --git a/events/seminars/2019-02-27/Heather-Burnett,-Conceptual/index.html b/events/seminars/2019-02-27/Heather-Burnett,-Conceptual/index.html
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The Centre for Linguistic Theory and Studies in Probability
A Conceptual Spaces Model of Socially Conditioned Language Change
Presented by: Heather Burnett,
Duration: 2 hours
On: 27 Feb, 2019
Location: Gothenburg
Since the mid 1990s, the development of mathematical and computational models of language variation and change, such as (Clark and Roberts, 1993; Niyogi and Berwick, 1997; Yang, 2000; Yang, 2002; Kauhanen and Walkden, 2018) among others, has yielded enormous advances in our understanding of the cognitive processes that underly these phenomena. However, although it has been observed since at least (Labov, 1963) that many (if not most) linguistic changes are socially conditioned, formal models have been almost exclusively focused on the grammatical and/or psychological aspects of change, neglecting its social aspects. On the other hand, many non-mathematically oriented approaches in sociolinguistics and linguistic anthropology (see (Bucholtz and Hall, 2005; Bucholtz and Hall, 2008) for an overview) have stressed the role that social meaning, ideologies and identity construction play in language use, and they have developed articulated theories of how meaning and ideological structure mediate the relation between social change and language change. The goal of this paper is to outline a model which brings together insights from identity-oriented theories of language change and unites them with formal theories of language use and understanding. More specifically, we use (Gärdenfors, 2000; Gärdenfors, 2014)¿s Conceptual Spaces framework to formalize speaker/listener ideological change and use epistemic game theory, particularly signaling games with an iterated best response solution concept, such as the Rational Speech Act model (RSA) (Franke, 2009; Frank and Goodman, 2012; Burnett, 2017) to formalize the link between ideology, linguistic meaning and language use. We then show how this new framework can be used to shed light on the mechanisms underlying socially-motivated change in French grammatical gender.
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Lecturer: Heather Burnett (LFF, CNRS Université Paris Diderot) (joint work with Oliver Bonami)
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diff --git a/events/seminars/2019-03-08/Aarne-Talman,-Neural/index.html b/events/seminars/2019-03-08/Aarne-Talman,-Neural/index.html
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The Centre for Linguistic Theory and Studies in Probability
Neural Network of NLI Fail to Capture the General Notion of Inference
Natural language inference (NLI), the task of determining if a sentence is entailed by one or more given sentences, has been a very popular line of research in the NLP community. Due to the popularity and recent advances in neaural network, architectures, significant progress has been made in NLI research, especially with the introduction of various pre-trained contextual language models, like ELMo and BERT. However, there are number of concerns also raised about the current NLI research mostly due to the shortcomings of the current NLI datasets.
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In my talk, I will introduce the neural network approaches used in NLI and describe our sentence representation architecture, Hierarchical BiLSTMs (HBMP), which has been successful in many NLI tasks. I will give an overview of some of the criticism and negative results in NLI and show how in our most recent experiments even the pre-trained language models fail to generalize across different NLI datasets.
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diff --git a/events/seminars/2019-03-20/Oliver-Bott,-Incremental/index.html b/events/seminars/2019-03-20/Oliver-Bott,-Incremental/index.html
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The Centre for Linguistic Theory and Studies in Probability
This talk is about the incremental construction of the semantic representation. I will first briefly introduce an incremental semantic theory that can deal with incremental construal of scope readings in an event semantic framework. The main part of this talk, however, will be about processing evidence for or rather against such a fully incremental theory.
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In a running eye-tracking study, we (joint work with Fabian Schlotterbeck) investigate the time course of linear scope construal in sentences with a quantifier and negation. Semantic complexity is manipulated by comparing monotone increasing(UE) and monotone decreasing (DE) quantifiers (cf. Deschamps et al. 2015) in interaction with the presence or absence of sentence negation. An offline pretest confirmed that the sentences were interpreted as intended and a first eye-tracking experiment established clear processing differences between negated and non-negated scope disambiguated sentences with DE vs. UE quantifiers. DE quantifiers incurred overall more processing costs than UE quantifiers, and these processing costs interacted with the presence or absence of negation in the expected direction.
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(1-a) Mehr als die Hälfte der Studenten hat (nicht in der Mensa gegessen¿More than half of the students has (not)in the mensa eaten¿¿More than half of the students did (not) eat in the mensa¿¿
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(1-b) Weniger als die Hälfte der Studenten hat (nicht) in der Mensa gegessen¿Fewer than half of the students has (not) in the mensa eaten¿¿Fewer than half of the students did (not) eat in the mensa¿ ¿
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A second eye-tracking experiment tested sentences such as (1-a/b) with the main verb occurring only after the negation with sentences with the verb aß (ate) in verb second position before the negation. The verb position was manipulated to investigate whether effects of quantificational complexity could show up even before the verbal predicate was encountered (cf. Bott & Schlotterbeck, 2015 for the same logic). To our surprise, effects of semantic complexity only showed up at the very end of the sentences and during rereading.
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A third running eye-tracking experiment tests our materials embedded in larger discourse contexts establishing the Question Under Discussion (QUD): "What proportion of the students did or did not eat in the mensa, respectively?" Tian et al. (2016) proposed that non-incremental effects observed for processing negation may be due to the timing of QUD accommodation. Besides this contextual embedding the sentences were changed into cleft constructions (lit. transl. from German: It were less/more than half of the students, that (not) in the mensa have eaten). First results indicate: Even though the effects occurred earlier than in our previous experiments, complexity effects due to monotonicity still seem to only emerge after having read a complete minimal sentence including the verb. Furthermore, finding qualitatively the same pattern of effects suggests that semantic complexity is clearly at issue in sentences with DE quantifiers and negation beyond effects related to QUD accommodation.
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To summerize, the results of the present study on the time course of scope interpretation reveal essentially non-incremental effects. The processing of quantifier scope thus seems to depend on a larger domain than just the scopal operators themselves. Corroborating the conclusion drawn in Bott & Schlotterbeck (2015), quantifiers seem to be interpreted with respect to scope only after having encountered a complete minimal sentence. If time allows, I will contrast the non-incremental processing of scope information with results from experiments showing highly incremental, predictive processing of quantificational restriction. Taken together, our experiments suggest a qualitatively different time course of interpreting the scope and the restrictor argument during online semantic processing.
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diff --git a/events/seminars/2019-03-27/Jey-Han-Lau,-Deep-speare:/index.html b/events/seminars/2019-03-27/Jey-Han-Lau,-Deep-speare:/index.html
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The Centre for Linguistic Theory and Studies in Probability
Deep-speare: A joint neural model of poetic language, meter and rhyme
In this talk, I will present a paper on poetry generation that was published in ACL2018. In the paper we propose a joint architecture that captures language, rhyme and meter for sonnet modelling. We assess the quality of generated poems using crowd and expert judgements. We found that the stress and rhyme models perform very well, as generated poems are largely indistinguishable from human-written poems. Expert evaluation, however, reveals that a vanilla language model captures meter implicitly, and that machine-generated poems still underperform in terms of readability and emotion. Our research shows the importance expert evaluation for poetry generation, and that future research should look beyond rhyme/meter and focus on poetic language.
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diff --git a/events/seminars/2019-03-29/Jey-Han-Lau,-Early/index.html b/events/seminars/2019-03-29/Jey-Han-Lau,-Early/index.html
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The Centre for Linguistic Theory and Studies in Probability
Rumours can spread quickly through social media, and malicious ones can bring about significant economical and social impact. In this talk I'll present an on-going work on rumour detection; particularly, we are interested in understanding how early we can detect them. Although there are numerous studies on rumour detection, few are concerned with the timing of the detection. A successfully-detected malicious rumour can still cause significant damage if it isn't detected in a timely manner, and so timing is crucial. To address this, we present a novel methodology for early rumour detection. Our model treats social media posts (e.g. tweets) as a data stream and integrates reinforcement learning to learn the number minimum number of posts required before we classify an event as a rumour. Experiments on Twitter and Weibo demonstrate that our model identifies rumours earlier than state-of-the-art systems while maintaining a comparable accuracy.
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diff --git a/events/seminars/2019-04-10/Massimo-Poesio,-Disagreements/index.html b/events/seminars/2019-04-10/Massimo-Poesio,-Disagreements/index.html
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The Centre for Linguistic Theory and Studies in Probability
The assumption that natural language expressions have a single, discrete and clearly identifiable meaning in a given context, successfully challenged in lexical semantics by the rise of distributional models, nevertheless still underlies much work in computational linguistics, including work based on distributed representations. In this talk, I will first of all present the evidence that convinced us that the assumption that a single interpretation can always be assigned to anaphoric expression is no more than a convenient idealization. I will then discuss recent work on the DALI project that aims to develop a new model of interpretation that abandons this assumption for the case of anaphoric interpretation/coreference. I will present the recently released Phrase Detectives 2.1 corpus, containing around 2 million crowdsourced judgements for more than 100,000 markable, an average of 20 judgements per markable; the Mention Pair Annotation (MPA) Bayesian inference model developed to aggregate these judgements; and the results of a preliminary analysis of disagreements in the corpus suggesting that between 10& % and 30% of marbles in the corpus appear to be genuinely ambiguous.
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Joint work with Jon Chamberlain, Silviu Paun, Alexandra Uma, Juntago Yu, Derya Cokal, Janosch Haber, Richard Bartle and Udo Kruschwitz.
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diff --git "a/events/seminars/2019-04-17/Thomas-H\303\266rberg,-Expectation-based/index.html" "b/events/seminars/2019-04-17/Thomas-H\303\266rberg,-Expectation-based/index.html"
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The Centre for Linguistic Theory and Studies in Probability
Expectation-based processing of grammatical functions in Swedish
Much research indicate that language processing is expectation-based, drawing on statistical patterns in the input (e.g., MacDonald 2013). In this talk, I present evidence for this idea from experimental and corpus-based studies on the comprehension and production of grammatical functions (GFs) in Swedish transitive sentences. The preferred word order in such sentences is SVO. However, Swedish also allows for OVS word ordering, with the object placed sentence-initially and the subject post-verbally. Since the NP argument GFs of such sentences may not be correctly determined from the sentence constituent order (i.e., NPs and verb), they are potentially ambiguous. They can therefore be costly to comprehend when the initial NP lacks case marking. In such cases, comprehenders need to revise their initial sentence interpretation as subject-initial upon encountering the disambiguating post-verbal subject NP (Hörberg et al. 2013).
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However, corpus-based and typological research shows that GFs correlate with prominence-based (e.g., animacy and definiteness) and verb-semantic (e.g., volitionality) information, both in the frequency distributions in language use within individual languages (e.g., Bouma 2008), and the grammatical encoding of GFs across languages (e.g., Aissen 2003), creating complex statistical regularities in the distribution of prominence-based, morphosyntactic and verb-semantic properties. These properties and their interplay may be utilized during encoding and decoding of GFs in production and comprehension in order to overcome potential ambiguity problems.
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I will present results from a corpus study of written Swedish investigating the distribution of these properties in subject-initial, object-initial and passive sentences. I will argue that writers tend to balance their use of these properties in order to avoid GF ambiguities. In particular, writers less frequently use OVS sentences when other morphosyntactic or animacy-based information about GFs are unavailible (Hörberg 2018). In such cases, writers more frequently use the unambiguous passive construction.
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I will then present an expectation-based model of processing difficulty during incremental GF assignment in Swedish transitive sentences, based upon the statistical regularities observed in the corpus data (Hörberg 2016). Processing difficulty is quantified as the on-line change in the expectation of a particular GF assignment (subject- or object-initial) upon encountering the properties of a constituent (e.g., NP2) with respect to the previously encountered properties (e.g., NP1 and verb(s)) in terms of Bayesian surprise.
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I will finally provide empirical evidence for this expectation-based model on the basis of a self-paced reading experiment, testing some of the most prominent model predictions. Here, by-region reading times converged with the region-specific Bayesian surprise predicted by the model. For example, NP2 reading times in ambiguous OVS sentences were mitigated when NP1 animacy and its interaction with verb class bias towards an object-initial word order.
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These findings provide evidence for the expectation-based account in that they indicate that language users are sensitive to statistical regularities in their language during both production and comprehension of GFs. During production, writers seem to balance their use of morphosyntactic and prominence-based cues to GFs in a manner that accommodatescomprehension. During comprehension, incremental GF assignment draws upon statistical regularities in the distribution of morphosyntactic, prominence-based and verb-semantic properties.
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diff --git a/events/seminars/2019-05-09/Stergios-Chatzikyriakidis,-To/index.html b/events/seminars/2019-05-09/Stergios-Chatzikyriakidis,-To/index.html
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The Centre for Linguistic Theory and Studies in Probability
To infer or not to infer: Natural Language Inference and Computational Semantics
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diff --git a/events/seminars/2019-05-28/Annie-Zaenen-WOPIS:/index.html b/events/seminars/2019-05-28/Annie-Zaenen-WOPIS:/index.html
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The Centre for Linguistic Theory and Studies in Probability
WOPIS: Remarks on Word Order, Prosody and Information Structure: the prefield in Swedish (and Dutch)
The talk is part of a very new project with Elisabet Engdahl and Filippa Lindahl. I will present some preliminary data on what one can find in first position in Swedish declarative main clauses and compare the situation in Swedish with that in Dutch. I discuss how relevant the notions of topic and focus are in the light of these data.
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diff --git a/events/seminars/2019-05-29 (2)/Larry-Moss-Monotonicity/index.html b/events/seminars/2019-05-29 (2)/Larry-Moss-Monotonicity/index.html
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The Centre for Linguistic Theory and Studies in Probability
Monotonicity in Natural Language Inference: An Update on Theory and Practice
This talk reports on results in the last two years related to monotonicity in NLI. The starting point of this line of work was the suggestion by Johan van Benthem in the 1980's that one could combine the syntactic approach of categorial grammar (CG) with the semantic idea of monotonicity. Later, I set his ideas on a firmer footing and adapted them from (plain) CG to Mark Steedman's Combinatory CG (CCG). The move to CCG enables us to try the ideas on datasets of current interest, such as FraCaS and SICK, and to compare performance with tools coming from machine learning, such as BERT.
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The talk will show that one can do a certain amount of automated NLI using parse trees and polarity algorithms. It is hard to precisely say what that 'certain amount' comes to, but we have some quantitative data on the matter. The talk details comparisons both with other systems that use logic in some form or other, and also with systems that use deep learning alone.
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This is joint work with a number of people, especially Hai Hu.
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diff --git a/events/seminars/2019-05-29/Lauri-Karttunen-Training/index.html b/events/seminars/2019-05-29/Lauri-Karttunen-Training/index.html
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The Centre for Linguistic Theory and Studies in Probability
Training a Neural Model to Reason with Implicatives
Implicative constructions, such as manage to and waste a chance, possess an underlying semantic property that we call the signature of the construction. Implicatives are ubiquitous and the compositionality of their signatures make them an important object of study for Natural Language Understanding. To this end, we introduced the Stanford Corpus of Implicatives (SCI). Drawing inspiration from other Natural Language Inference (NLI) corpora, SCI contains a set of triplets premise, hypothesis, and label. The label indicates the semantic relation between the premise and the hypothesis: entailment, contradiction or neither. The mission of SCI is two-fold: first, to provide a systematic coverage of the large set of implicative constructions in English; and second, to allow for the exploration of a new family of meta-learner models that strive for modular and compositional learning by taking advantage of the existence of the signatures. In particular, we introduced a new meta-learning model, the recursive routing networks (RRN), that efficiently learn to specialize to the fine-grained inferential signatures from the SCI corpus. We review the ability to generalize from seen constructions to similar unseen constructions, with special attention to meta-level properties of the implicatives.
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Lauri Karttunen This is joint work with Ignacio Cases, building on our NAACL - 2019 presentation.
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diff --git a/events/seminars/2019-09-09/Matthew-Marge-Towards/index.html b/events/seminars/2019-09-09/Matthew-Marge-Towards/index.html
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The Centre for Linguistic Theory and Studies in Probability
Robots can be more effective teammates with people if they can engage in natural language dialogue. In this talk, I will address one fundamental research problem to achieving this goal: understanding how people will talk to robots in collaborative tasks, and how robots could respond in natural language to maintain an effective dialogue that stays on track. The unique contribution of this research is the adoption of a multi-phased approach to building spoken dialogue systems that starts with exploratory data collection of human-robot dialogue with a human ¿wizard¿ standing in for the robot¿s language processing behind the scenes, and ends with training a dialogue system that automates away the wizard.With the ultimate goal of an autonomous conversational robot in mind, I will focus on the initial experiments that aim to collect computationally tractable human-robot dialogue without sacrificing naturalness. I will show how this approach can efficiently collect dialogue in the navigation domain, and in a form suitable for training a conversational robot. I will also present a novel annotation scheme for dialogue semantics and structure that captures the types of instructions that people gave to the robot, showing that over time these can change as people better assess the robot's capabilities. Finally, I¿ll place this research effort in the broader context of enabling better teaming between people and robots.This is joint work with colleagues at ARL and at the USC Institute for Creative Technologies.
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diff --git a/events/seminars/2019-10-16/Jean-Philippe-Bernardy-Logic/index.html b/events/seminars/2019-10-16/Jean-Philippe-Bernardy-Logic/index.html
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The Centre for Linguistic Theory and Studies in Probability
A Logic with Measurable Spaces for Natural Language Semantics
Joint work withRasmus BlanckAleksandre Maskharashvili
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The ability of humans to reason under uncertainty has reflectionswithin natural language where we find various lexico-syntacticconstructions which allow us to express uncertain information.Moreover, we are able draw conclusions - make inferences underuncertainty. To give an adequate account to this crucial aspect of natural language, it has been long argued for employing probabilistic tools in defining semantics of natural language. In this abstract we address this issue by proposing a Logic with Measurable Spaces (LMS). We argue that LMS is suitable to represent the semantics of a number of important natural language phenomena. LMS draws inspiration from several sources. It is aims at being decidable (like descriptive logics). It features Sigma spaces (like Martin-Löf type-theory). It internalises the notion of the cardinality (in fact, here, measures) of spaces and ratiosthereof, allowing to capture the notion of event probability.
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diff --git a/events/seminars/2019-10-30/Colin-Zwanziger-Propositional/index.html b/events/seminars/2019-10-30/Colin-Zwanziger-Propositional/index.html
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The Centre for Linguistic Theory and Studies in Probability
Propositional Attitude Operators via Homotopy Type Theory
Since it interprets propositions by sets of possible worlds, the intensional logic of Montague (1973) does not distinguish propositions which are true in the same possible worlds. Because of this, the system does not satisfactorily interpret propositional attitude verbs (believe, know, etc.), a fact which has motivated the development of 'hyperintensional' logics.
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I will discuss a hyperintensional system which naturally incorporates the intensional logic of Montague with the usual notions of homotopy type theory (HoTT). This system is based on a fragment of Shulman (2018). From HoTT, we inherit two notions of equality, ¿ and =, which we think of as expressing intensional and extensional equalities, respectively. From Montague, we inherit a syntax for intensional operators, which for us will, however, mean operators which respect intensional but not (necessarily) extensional equality. These are used to interpret propositional attitude operators.
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This approach is in the tradition of other linguistically-motivated systems with two notions of equality (Thomason 1980, Fox and Lappin 2008). Some advantages are that it allows a treatment of de re belief, and inherits a nice model theory from HoTT.
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diff --git a/events/seminars/2019-12-04/Shalom-Lappin-Modelling/index.html b/events/seminars/2019-12-04/Shalom-Lappin-Modelling/index.html
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The Centre for Linguistic Theory and Studies in Probability
Modelling the Effect of Context on Sentence Acceptability
Joint work with Jey Han Lau, The University of Melbourne; Carlos Armendariz, Queen Mary University of London; Matthew Purver, Queen Mary University of London; and Chang Shu,University of Nottingham Ningbo China
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We study the influence of context on sentence acceptability. First we compare the acceptability ratings of sentences judged in isolation, with a relevant context, and with an irrelevant context. Our results show that context induces a cognitive load for humans, which compresses the distribution of ratings. Moreover, in relevant contexts we observe a discourse coherence effect which uniformly raises acceptability. Next, we test unidirectional and bidirectional language models in their ability to predict acceptability ratings. The bidirectional models show very promising results, with the best model achieving a new state-of-the-art for unsupervised acceptability prediction. The two sets of experiments provide insights into the cognitive aspects of sentence processing, and central issues in the computational modelling of text and discourse.
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diff --git a/events/seminars/2020-01-29/Shiri-Lev-Ari-Language/index.html b/events/seminars/2020-01-29/Shiri-Lev-Ari-Language/index.html
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The Centre for Linguistic Theory and Studies in Probability
Language evolution and change from a social networks perspective
Languages exhibit great variability in their structures. In this talk I will show that some of the cross-linguistic differences could be accounted for by languages¿ adaptation to their social environment. I will demonstrate how properties of the community structure, such as its size and interconnectivity, influence how information travels, and consequently the structure of the grammar and vocabulary that the community develops. I will further show how network structure dynamics interact with cognitive biases in a manner that affects linguistic stability and the likely agents of change.
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diff --git a/events/seminars/2020-02-10/Lasha-Abzianidze-Parallel/index.html b/events/seminars/2020-02-10/Lasha-Abzianidze-Parallel/index.html
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The Centre for Linguistic Theory and Studies in Probability
The Parallel Meaning Bank: a corpus of translations annotated with formal meaning representations
(joint work with Johan Bos, Kilian Evang, Hessel Haagsma, and Rik van Noord)The Parallel Meaning Bank (PMB) is a large collection of bitexts annotated with Discourse Representation Structures. Two main principles underlying the PMB are (i) a meaning-preserving property of translations and (ii) compositionality of meaning. The meaning-preserving principle drives formal meaning representations of translations to the same representation. At the same time, the compositionality principle reduces modelling of phrase semantics to modelling of lexical semantics. While the modelling of lexical semantics is still a challenge, the shift to the lexical level enables us to project formal meaning representations from a pivot language to other languages. This is a very attractive idea, but it faces enormous challenges. How did we deal with them? In the presentation, I will describe the annotation layers of the PMB, a pipeline of NLP tools, and its online annotation environment.
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diff --git a/events/seminars/2020-02-12/Lasha-Abzianidze-Natural/index.html b/events/seminars/2020-02-12/Lasha-Abzianidze-Natural/index.html
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The Centre for Linguistic Theory and Studies in Probability
Natural theorem proving for natural language: theory and application
If we assume Montague's belief that there is ¿no important theoretical difference between natural languages and the artificial languages of logicians¿, then there should exist a proof system for natural languages too, like it is for various logics. But is such a natural proof system sensible? In my talk, I will present a version of a natural proof system that is specially designed to account for natural language inference (NLI) in a systematic way. The proof system, called the Natural Tableau, is based on a semantic tableau method and operates on terms of higher-order logic, which represent a more natural way of modelling linguistic semantics. A Natural Tableau-based theorem prover is able to model both shallow and logical reasoning, demonstrated on standard NLI benchmarks. The prover can also tackle the problem of knowledge sparsity with supervised knowledge induction.
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diff --git a/events/seminars/2020-02-20/Desmond-Elliott-Compositional/index.html b/events/seminars/2020-02-20/Desmond-Elliott-Compositional/index.html
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The Centre for Linguistic Theory and Studies in Probability
Image captioning models are usually evaluated on their ability to describe a held-out set of images, not on their ability to generalize to unseen concepts. We study the problem of compositional generalization, which measures how well a model composes unseen combinations of concepts when describing images. State-of-the-art image captioning models show poor generalization performance on this task. We propose a multi-task model to address the poor performance, that combines caption generation and image--sentence ranking, and uses a decoding mechanism that re-ranks the captions according their similarity to the image. This model is substantially better at generalizing to unseen combinations of concepts compared to state-of-the-art captioning models.
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diff --git a/events/seminars/2020-02-21/Mehdi-Ghanimifard---Final-seminar-Why/index.html b/events/seminars/2020-02-21/Mehdi-Ghanimifard---Final-seminar-Why/index.html
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The Centre for Linguistic Theory and Studies in Probability
Why the pond is not outside the frog? Grounding in contextual representations by neural language models
In this thesis, to build a multi-modal system for language generation and understanding, we study grounded neural language models. Literature in psychology informs us that spatial cognition involves different aspects of knowledge that include visual perception and human interaction with the world. This makes spatial descriptions a compelling case for the study of how spatial language is grounded in different kinds of knowledge. In six studies, we investigate what and how neural language models (NLM) encode spatial knowledge.
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In the first study, we ask if the language model has a systematic generalisation to learn the grounding on the unseen composition of representations. Then in the second study, we show the potentials in using uni-modal knowledge for detecting metaphors in adjective-nouns compositions. In the third study, we explore the traces of functional-geometric distinction of spatial relations in uni-modal NLM. This distinction is essential since the knowledge about object-specific relations are not grounded in the visible situation. Following that, in the fourth study, we inspect representations of spatial relations in a uni-modal NLM to understand how they capture the concept of space from the corpus. The predictability of grounding spatial relations from contextual embeddings is vital for the evaluation of grounding in multi-modal language models. In the fifth study, we try to evaluate the degree of grounding in language and vision with adaptive attentions. In the sixth study, we use adaptive attention to understand if and how additional bounding box geometric information could improve the generation of relational image descriptions.
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The primary argument of the thesis is that spatial expressions in natural language are not always grounded in direct interpretations of the locations. In a joint model of vision and language, the neural language model provides spatial knowledge that is contextualising the knowledge from visual repre-sentations about locations. The knowledge in the language model comes from locative expressions in the dataset used for the training task and is also shaped by the aspects of the model design.
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diff --git a/events/seminars/2020-02-26/Vladislav-Maraev-and-Bill-Noble-effect/index.html b/events/seminars/2020-02-26/Vladislav-Maraev-and-Bill-Noble-effect/index.html
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The Centre for Linguistic Theory and Studies in Probability
The effect of laughter on dialogue act recognition
We investigate how useful BERT is for dialogue act recognition. We analyse benefit of BERT's pre-training procedure and the importance of fine-tuning in the dialogue setting. To confirm that the model learns to represent dialogical features, we look at how it uses laughter, a phenomenon specific to dialogue, and analyse where laughter is most helpful for dialogue act recognition.
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diff --git a/events/seminars/2020-03-04/Elin-McCready-Dogwhistles:/index.html b/events/seminars/2020-03-04/Elin-McCready-Dogwhistles:/index.html
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The Centre for Linguistic Theory and Studies in Probability
In political speech, it is often strategically important to signal one's ideology to a subset of listeners, especially when that ideology may be controversial. The term "dogwhistle" refers to a kind of coded message sent which sends one message to all listeners and an additional message to a class of `savvy' interpreters; this kind of messaging is prevalent in political discourse. This talk describes an approach to dogwhistles which takes them to send coded messages in a way dependent on recognition of the speaker's political ideology. After laying out some criteria for an account of dogwhistles, a game-theoretic account is proposed and then extended to a general notion of communicative trust.
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diff --git a/events/seminars/2020-03-11/Adam-Ek-Enhanced/index.html b/events/seminars/2020-03-11/Adam-Ek-Enhanced/index.html
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The Centre for Linguistic Theory and Studies in Probability
In this talk I introduce the framework “Enhanced Universal Dependencies”, an add-on to standard universal dependency annotations focusing on highlighting semantic relationships between words in a sentence. In the talk on-going work is presented, aimed at parsing enhanced universal dependencies in 16 languages using an encoder-decoder framework with attention.
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diff --git a/events/seminars/2020-04-01/Chatrine-Qwaider-Deep/index.html b/events/seminars/2020-04-01/Chatrine-Qwaider-Deep/index.html
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The Centre for Linguistic Theory and Studies in Probability
Deep Learning for Arabic Computational Linguistics (Sentiment Analysis as case study)
The Seminar is part of Reading course on applying deep learning for Arabic Computational Linguistics. I present an overview of relevant literature on employing deep learning architectures for different Arabic NLP tasks like Language Identification , Sentiment Analysis, Entity Recognition and so on. However, Dialectal Arabic faces a number of challenges when it comes to NLP, resulting in weak performance systems and models. One of the reasons for this is that we try to first build models for Modern Standard Arabic and later use the models to predict the Dialectal Arabic, something which does not work well. In this talk, I pick Sentiment Analysis as a case study in order to show the power of deep learning for Dialectal Arabic. A mixed LSTM and CNN network is presented for SA, giving reasonable results. We also experiment with fine tuning the pertained language model BERT in order to build a classification model for Dialectal SA on it. Lastly, we compare both the traditional DL and BERT results.
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diff --git a/events/seminars/2020-04-15/Asad-Sayeed-and-Yuval-Marton-Data/index.html b/events/seminars/2020-04-15/Asad-Sayeed-and-Yuval-Marton-Data/index.html
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The Centre for Linguistic Theory and Studies in Probability
Data requirements for thematic fit modeling
Presented by: Asad Sayeed and Yuval Marton
Duration: 2 hours
On: 15 Apr, 2020
Location: Gothenburg
Asad Sayeed and Yuval Marton's presentation slidesThematic fit is the extent to which a given noun fits a given semantic role that is associated with a given verb. For example, "knife" fits better as an instrument for the verb "cut" than does "towel". Previous work (Hong, Sayeed, and Demberg, 2018; Sayeed, Shkadzko, and Demberg,2018) modeled human thematic fit judgements through a neural network approach that involved a very large automatically-annotated corpus. Received wisdom in the machine learning era is that more data with poorer-quality annotation is cheaper and more effective than a smaller amount of higher-quality annotation (Petrov et al., 2010).
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Calling into question the wide applicability of this received wisdom, we replace some automatic annotation layers in the Sayeed et al. dataset with annotations derived from a better SRL tool, parser, and morphological analyzer. We obtained higher correlations with human-collected thematic fit judgements by training our models on dramatically less data with higher annotation quality. We therefore call for more nuanced judgment in automatic annotation design decisions in the NLP community.
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Joint work between Yuval Marton (University of Washington; Bloomberg LP) and Asad Sayeed (University of Gothenburg).
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diff --git a/events/seminars/2020-04-22/Herbert-Lange-Learning/index.html b/events/seminars/2020-04-22/Herbert-Lange-Learning/index.html
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The Centre for Linguistic Theory and Studies in Probability
Learning Domain-Specific Grammars from Example Sentences
For domain-specific applications computational grammars can be a useful resources. One challenge is that the domain experts and the grammar engineers usually are two separate parties. To bridge between the two, we present a method to learn a domain-specific grammar from a wide-coverage grammar using natural language example sentences.
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We model the learning process as a constraint optimization problem and show that we can learn subgrammars from positive examples. Furthermore we show how negative examples can be included to allow for an iterative learning process and how the quality of the grammar can be improved by merging grammar rules.
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diff --git a/events/seminars/2020-04-29/Gemma-Boleda-Distributional/index.html b/events/seminars/2020-04-29/Gemma-Boleda-Distributional/index.html
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The Centre for Linguistic Theory and Studies in Probability
Distributional semantics provides multi-dimensional, graded, empirically induced word representations that successfully capture many aspects of meaning in natural languages, as shown in a large body of work in computational linguistics; yet, its impact in theoretical linguistics has so far been limited. In this talk, I will present methods and results in distributional semantics that are of relevance for theoretical linguistics, in three areas: semantic change, polysemy and composition, and the grammar-semantics interface (specifically, the interface of semantics with syntax, on the one hand, and with derivational morphology, on the other). Talk based on the following paper: Boleda, G. 2020. Distributional Semantics and Linguistic Theory. Annual Review of Linguistics, Vol. 6: 213-23. [Pre-print version]
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diff --git a/events/seminars/2020-05-13/Wlodek-Zadrozny-Towards/index.html b/events/seminars/2020-05-13/Wlodek-Zadrozny-Towards/index.html
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The Centre for Linguistic Theory and Studies in Probability
Towards Co-Inductive Models for Natural Language Semantics
In this talk we are proposing adding coinduction to the computational apparatus of semantics. This, we argue, will provide a basis for a more realistic, computationally sound, and scalable model of natural language understanding. Given that the bottom up, inductively constructed, semantic structures are brittle, and seemingly incapable of representing longer sentences or realistic dialogues, semantics is in the need of a new foundation. Coinduction, which uses top down constraints, has been successfully used in the design of operating systems and programming languages. Moreover, implicitly it has been present in text mining, machine translation, and in some attempts to model intensionality and modalities. So, there is scattered evidence it works. Since coinduction and induction can coexist, they can provide a common language and a conceptual model for research in NL understanding. We will end listing a few problems amenable to the use of coinduction, and proposing other, more challenging measures of success.
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diff --git a/events/seminars/2020-05-28/Milena-Rabovsky-Modeling/index.html b/events/seminars/2020-05-28/Milena-Rabovsky-Modeling/index.html
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The Centre for Linguistic Theory and Studies in Probability
Modeling the N400 brain potential as change in a probabilistic representation of meaning
The N400 component of the event-related brain potential has aroused much interest because it is thought to provide an online measure of meaning processing in the brain. However, the underlying process remains incompletely understood and actively debated. In the talk, I will present a computationally explicit account of this process and the emerging representation of sentence meaning. We simulate N400 amplitudes as the change induced by an incoming stimulus in an implicit and probabilistic representation of meaning captured by the hidden unit activation pattern in a neural network model of sentence comprehension, and we propose that the process underlying the N400 also drives implicit learning in the network. The model provides a unified account of 16 distinct findings from the N400 literature.
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diff --git a/events/seminars/2020-10-07/Vidya-Somashekarappa/index.html b/events/seminars/2020-10-07/Vidya-Somashekarappa/index.html
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The Centre for Linguistic Theory and Studies in Probability
What's your occipital lobe looking at? Gaze patterns and non-verbal cue detection
In this talk, I will discuss the topic of gaze prediction and my annotation effort to produce a data source that can help with automated dialogue systems. Specifically, dialogue systems need a way to distinguish between social and referential gaze in order to react more naturally to the cues given by human users. I will present an annotation scheme as well as an analysis of collected data for dyadic conversations that reveal gaze behaviour patterns that are significant to the question of the role of gaze in interaction.
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Temporal patterns of non-verbal behaviour cue detection and interpretation in a given scenario are natural for humans and mostly an unconscious process, but identifying them is difficult for a robot or avatar. Research has shown that from birth on, humans prefer to look at faces that engage in reciprocated gaze, and that healthy babies show enhanced neural processing of direct eye gaze. Eye movements have been shown in many domains to have significant effects on decision-making. Machines that can sense and respond to these in a meaningful way are welcomed by the users because of the efficient interaction and bonding experience. Unsurprisingly, eye contact is closely linked to our emotions and consequently affects our behaviors.
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The ultimate goal of this research project is to understand higher level behaviours, such as attention and eye gaze during conversation and how these findings are synthesized and can be utilized in the domains of Human–Robot Interaction and Human–Computer Interaction.
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diff --git a/events/seminars/2020-10-28/Julian-Grove/index.html b/events/seminars/2020-10-28/Julian-Grove/index.html
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The Centre for Linguistic Theory and Studies in Probability
Within the last two decades, research into the multifaceted nature of linguistic meaning from the perspective of dynamic semantics has gained insight from the theoretical-computer-science notion of computational side effect. The side effects of a computer program may include, for example, reading or writing to the environment, computing non-deterministically, accepting input, or producing output. Theories of side effects have provided useful design patterns in linguistic semantics that allow traditional tools, like the simply typed lambda-calculus, to deal with otherwise unruly dynamic phenomena like indefiniteness, binding, anaphora, and presupposition, as well as apparently non-compositional phenomena, like quantification, in a systematic, elegant, and compositional way.
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More recently, the theory of algebraic effects has provided an approach to side effects in programming languages that allows very different notions of effect (for example, input/output and non-determinism) to be combined in a relatively seamless way. In this talk, I will show how algebraic effects may be used to combine analyses of linguistic side effects, focusing on anaphora and quantification. The approach lends itself to a simple encoding using traditional tools, as well as fairly conservative analyses of the individual phenomena at play. In addition, it leads to some interesting empirical predictions about how quantification and anaphora interact.
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diff --git a/events/seminars/2020-11-04/Emil-Carlsson-and-Devdatt Dubhashi/index.html b/events/seminars/2020-11-04/Emil-Carlsson-and-Devdatt Dubhashi/index.html
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The Centre for Linguistic Theory and Studies in Probability
Human languages differ qualitatively in their numeral systems. At one extreme, some languages have a small set of number terms, which denote approximate or inexact numerosities; at the other extreme, many languages have forms for exact numerosities over a very large range, through a recursively defined counting system. Why do numeral systems vary as they do? An influential proposal has suggested that this arises from a functional need for efficient communication and framed it in an information-theoretic setting. Here we adopt a machine learning perspective and show that a simple reinforcement learning mechanism produces numeral systems with properties very similar to human systems of similar complexity.
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diff --git a/events/seminars/2020-11-11/Adam-Ek/index.html b/events/seminars/2020-11-11/Adam-Ek/index.html
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The Centre for Linguistic Theory and Studies in Probability
Composing Byte-Pair Encodings for Morphological Sequence Classification
In this talk I'll present research regarding composing sub-word representations, specifically representations obtained for byte-pair tokens by a large language model, into word representations. In our paper, we evaluate four different methods of obtaining word representations for morphological sequence classification, that is, the task of assigning grammatical features to words. Our experiments reveal that using an RNN to compute word representations is consistently more effective than the other three methods across a sample of eight languages with different typology and varying number of byte-pair tokens per word.
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diff --git a/events/seminars/2020-11-18/Ellie-Pavlick/index.html b/events/seminars/2020-11-18/Ellie-Pavlick/index.html
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The Centre for Linguistic Theory and Studies in Probability
You can lead a horse to water...: Representing vs. Using Features in Neural NLP
A wave of recent work has sought to understand how pretrained language models work. Such analyses have resulted in two seemingly contradictory sets of results. On one hand, work based on "probing classifiers" generally suggests that SOTA language models contain rich information about linguistic structure (e.g., parts of speech, syntax, semantic roles). On the other hand, work which measures performance on linguistic "challenge sets" shows that models consistently fail to use this information when making predictions. In this talk, I will present a series of results that attempt to bridge this gap. Our recent experiments suggest that the disconnect is not due to catastrophic forgetting nor is it (entirely) explained by insufficient training data. Rather, it is best explained in terms of how "accessible" features are to the model following pretraining, where "accessibility" can be quantified using an information-theoretic interpretation of probing classifiers.
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diff --git a/events/seminars/2020-12-02/Eleni-Gregoromichelaki/index.html b/events/seminars/2020-12-02/Eleni-Gregoromichelaki/index.html
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The Centre for Linguistic Theory and Studies in Probability
The ability to predict action sequences on the basis of perception and past experience is essential for autonomous agents exhibiting intelligent behaviour in unstructured environments. I present a view of syntactic processing as sensorimotor skills developed to grasp reliable actionperception regularities. Under this view, natural language elements like words and syntactic structures can be subsumed in models of affordances, properties of social settings [Heft, 1989] relative to (groups of) human agents who can explore or exploit them to gain access to these settings. I will present the formal architecture of a syntactic model (DS, Kempson et al. [2001]) that provides a way of capturing (joint) linguistic and physical actions by relying on the goaldirected, predictive nature of cognition.
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Since linguistic phenomena also show that there is continuity between low-level “syntactic” and conceptual mechanisms, I will address various ways to unify DS with TTR (Cooper [2012], in prep) under a single formalism. In my view, TTR types, like syntactic DS types, can also be modelled as affordances, namely, real features of the sociocultural environment that are, nevertheless, defined relative to agents’ abilities and preferences. Standard TTR types are then abstract, higher level goal macrostates, referring to a (potentially) infinite set of low-level state graphs probabilistically accessible to agents in a particular context. From this point of view, judgements are not assignments of type labels to entities but, instead, the pursuance of affordances, action policies, in interactions.
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diff --git a/events/seminars/2020-12-09/Daisuke-Bekki/index.html b/events/seminars/2020-12-09/Daisuke-Bekki/index.html
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The Centre for Linguistic Theory and Studies in Probability
A hybrid approach toward Natural Language Understanding
In this talk, I will introduce and discuss our recent development of the natural language understanding (NLU) system under a "hybrid approach" between formal linguistics and machine learning, one of the alternative approaches to fully-neural NLU. I will mainly focus on the end-to-end RTE system "ccg2lambda", which we developed in 2015, that integrates CCG parsers, formal semantics, higher-order theorem provers, and machine learning. I will also discuss some extensions of ccg2lambda to the tasks such as visual-textual entailment and semantic textual similarity.
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diff --git a/events/seminars/2021-01-20/Olof-Mogren/index.html b/events/seminars/2021-01-20/Olof-Mogren/index.html
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The Centre for Linguistic Theory and Studies in Probability
Learned continuous embeddings for language units was some of the first trembling steps of making neural networks useful for natural language processing (NLP), and promised a future with semantically rich representations for downstream solutions. NLP has now seen some of the progress that previously happened in image processing: the availability of increased computing power and the development of algorithms have allowed people to train larger models that perform better than ever. Such models also make it possible to use transfer learning for language tasks, thus leveraging large widely available datasets.
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In 2016, Bolukbasi, et.al., presented their paper "Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings", shedding lights on some of the gender bias that was available in trained word embeddings at the time. Datasets obviously encode the social bias that surrounds us, and models trained on that data may expose the bias in their decisions. Similarly, learned representations may encode sensitive details about individuals in the datasets; allowing the disclosure of such information through distributed models or their outputs. All of these aspects are crucial in many application areas, not the least in the processing of medical texts.
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Some solutions have been proposed to limit the expression of social bias in NLP systems. These include techniques such as data augmentation, representation calibration, and adversarial learning. Similar approaches may also be relevant for privacy and disentangled representations. In this talk, we'll discuss some of these issues, and go through some of the solutions that have been proposed recently to limit bias and to enhance privacy in various settings.
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diff --git a/events/seminars/2021-01-27/Bill-Noble/index.html b/events/seminars/2021-01-27/Bill-Noble/index.html
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The Centre for Linguistic Theory and Studies in Probability
Distributional semantics for lexical variation and change
Word representations based on the distributional hypothesis are useful in a wide range of natural language prediction tasks. They have also been used extensively to study long-term lexical semantic change. In this talk, I will discuss the use of distributional semantics to study more short-term semantic change, as well as variation between speech
+communities. I will present results from two recent studies and compare the merits of using word vectors from a diachronic Skip-Gram model versus conditional neural language models.
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diff --git a/events/seminars/2021-02-03/Axel-Almquist/index.html b/events/seminars/2021-02-03/Axel-Almquist/index.html
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The Centre for Linguistic Theory and Studies in Probability
Argument Mining is a complex task, and to solve it, one has to create solutions that deal with several different subtasks. Existing research is comprised of a few end-to-end attempts as well as combinations of solutions to one or more of the subtasks. To determine which is the best end-to-end solution, one must combine models solving individual or combinations of subtasks with one another. As I set out, I found myself with code in different languages and different code bases. I saw an opportunity to unify the existing research into a single Python framework not only to create a better setting for experiments but also to make research in Argument Mining easier and more accessible.
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This tool includes preprocessing, feature extraction, deep learning training setup, SOTA models, visualisations, experiment and model logging, and other features.
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In this seminar, I will introduce you to Argument Mining, its challenges and my framework for Argument Mining; HotAm.
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diff --git a/events/seminars/2021-02-10/Marianna-Apidianaki/index.html b/events/seminars/2021-02-10/Marianna-Apidianaki/index.html
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The Centre for Linguistic Theory and Studies in Probability
What does BERT know about words? Unveiling hidden lexical semantic properties
Presented by: Marianna Apidianaki
Duration: 2 hours
On: 10 Feb, 2021
Location: Gothenburg
Given the high performance of pre-trained language models on natural language understanding tasks, an important strand of work has focused on the linguistic knowledge encoded inside the models, mainly addressing structure-related aspects. In our work, we explore the knowledge BERT encodes about lexical semantics. We specifically probe BERT representations for lexical polysemy detection, scalar adjective ranking and noun property prediction. We perform intrinsic evaluations against hand-crafted data, and test the extracted representations on the tasks of indirect question-answering and in-context lexical entailment. We show that the model encodes rich information about polysemy and adjective intensity, acquired through pre-training, but has only marginal knowledge of noun properties and their prevalence.
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The presented work has been performed in collaboration with my PhD student, Aina Garí Soler (University Paris-Saclay), in the frame of the MULTISEM ANR project.
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diff --git a/events/seminars/2021-02-24/Vlad-Maraev/index.html b/events/seminars/2021-02-24/Vlad-Maraev/index.html
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The Centre for Linguistic Theory and Studies in Probability
Dialogue management with linear logic: the role of metavariables in questions and clarifications
In this paper, we study the formalisation of a dialogue management system using proof-search on top of a linear logic. We argue that linear logic is the natural formalism to implement information-state dialogue management. We give particular attention to modelling question-answering sequences, including clarification requests, and argue that metavariables, arising from unification in the proof search, play a decisive role in providing a natural formalisation.
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We show that our framework is not only well suited from a theoretical perspective, but it is also suitable for implementation which we exemplify with a small scale implementation.
+
(joint work with Jean-Philippe Bernardy and Jonathan Ginzburg)
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diff --git a/events/seminars/2021-03-10/Nikolai-Ilinykh/index.html b/events/seminars/2021-03-10/Nikolai-Ilinykh/index.html
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The Centre for Linguistic Theory and Studies in Probability
When an Image Tells a Story: The Role of Visual and Semantic Information for Generating Paragraph Descriptions
Generating multi-sentence image descriptions is a challenging task, which requires a good model to produce coherent and accurate paragraphs, describing salient objects in the image. We argue that multiple sources of information are beneficial when describing visual scenes with long sequences. These include (i) perceptual information and (ii) semantic (language) information about how to describe what is in the image. We also compare the effects of using two different pooling mechanisms on either a single modality or their combination. We demonstrate that the model which utilises both visual and language inputs can be used to generate accurate and diverse paragraphs when combined with a particular pooling mechanism. The results of our automatic and human evaluation show that learning to embed semantic information along with visual stimuli into the paragraph generation model is not trivial, raising a variety of proposals for future experiments.
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diff --git a/events/seminars/2021-03-24/Julia-Hockenmaier/index.html b/events/seminars/2021-03-24/Julia-Hockenmaier/index.html
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The Centre for Linguistic Theory and Studies in Probability
Collaborative Construction and Communication with Minecraft
Virtual gaming platforms such as Minecraft allow us to study situated natural language generation and understanding tasks for agents that operate in complex 3D environments. In this talk, I will present work done by my group on defining a collaborative Blocks World construction task in Minecraft. In this task, one player (the Architect) needs to instruct another (the Builder) via a chat interface to construct a given target structure that only the Architect is shown. Although humans easily complete this task (often after lengthy back-and-forth dialogue), creating agents for each of this role poses a number of challenges for current NLP technologies. To understand these challenges, I will describe the dataset we have collected for this task, as well as the models that we have developed for both roles.
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diff --git a/events/seminars/2021-03-31/Giulia-Perugia/index.html b/events/seminars/2021-03-31/Giulia-Perugia/index.html
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The Centre for Linguistic Theory and Studies in Probability
Gaze, Personality, and the Uncanny Valley: Implicit Cues of Uncanny feelings and Interaction Strategies to Overcome them
In this talk, I will give an overview of two studies that I have recently published in Frontiers in Robotics and AI and Computers in Human Behavior with colleagues of Uppsala University and the University of Potsdam. Both the studies revolve around a geography-themed Rapid Dialogue Game (RDG), the map game, in which a human and a robot are tasked with identifying as many countries as possible on the world map in a given time of 10 minutes. In the Frontiers in Robotics and AI paper, we presented a study in which we explored how people's perceptions of a Furhat robot and engagement with it and the map game could be assessed through implicit and continuous measurement techniques, such as gaze, over repeated interactions. We involved participants in three interaction sessions with multiple days of zero exposure in between. Each interaction session consisted of 10 minutes of play with the map game and two short social chats with Furhat before and after the game. Furhat’s facial texture was varied so as to make the robot’s face look humanlike, mechanical, or a morph between the humanlike and the mechanical. We measured participants' gaze patterns with a wearable eye-tracker and gauged their perception of the robot and engagement with it and the joint task using questionnaires. The study results disclosed that aversion of gaze in a social chat is an indicator of a robot's uncanniness and that the more people gaze at the robot in a joint task, the worse they perform. Furthermore, the analyses of gaze patterns in repeated interactions showed that people's mutual gaze in a social chat develops congruently with their perceptions of the robot over time. These are key findings for the HRI community as they entail that gaze behavior can be used as an implicit measure of people's perception of robots in a social chat and of their engagement and task performance in a joint task.
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In the Computers in Human Behavior paper, we presented a study in which participants played the map game with a Furhat robot displaying one of two personalities, which corresponded to two different interaction strategies. The robot was either optimistic and encouraging or impatient and provocative. We performed the study in a science museum and recruited participants among the visitors. The study's goal was to understand whether a robot's interaction strategy, in this case, the robot's personality, could weaken initial uncanny feelings due to the robot's appearance (humanlike or a morph between a humanlike and a mechanical appearance). Our findings suggest that giving participants the time to interact with a robot that is rated high on agreeableness, emotional stability, and conscientiousness can indeed lower initial perceptions of uncanniness. This study has important implications for the design of dialogue systems as the robot's utterances that contributed to the perception of the robot's personalities were completely authored and evaluated by crowd-workers on Amazon Mechanical Turk (AMT).
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• Perugia, G., Paetzel-Prüsmann, M., Madelene Alanenpää, & Castellano, G. (2021). I Can See it in Your Eyes: Gaze as an Implicit Cue of Uncanniness and Task Performance in Repeated Interactions with Robots. Frontiers in Robotics and AI. DOI: 10.3389/frobt.2021.645956
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• Paetzel-Prüsmann, M., Perugia, G., & Castellano, G. (2021). The Influence of Robot Personality on the Development of Uncanny Feelings. Computers in Human Behavior, 106756. DOI: 10.1016/j.chb.2021.106756
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diff --git a/events/seminars/2021-04-07/Nick-Chater/index.html b/events/seminars/2021-04-07/Nick-Chater/index.html
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The Centre for Linguistic Theory and Studies in Probability
Virtual bargaining: The hidden logic of joint action and communication
People can communicate successfully with almost any signal. A nod, gesture or a look can, in context, successfully convey a message without any prior agreement between the sender and receiver. This talk describes experiments in which the astonishing flexibility of human communication is illustrated. For example, subtle changes in the communicative setup and cause people to spontaneously reverse the meaning of a simple signal, without any prior agreement. Successful communication seems to require that people must agree, somehow or other, the mapping between signals and message. How is this possible? We argue that communication, and joint action more generally, requires that such agreements are reached by a process of “virtual bargaining,” which is surprisingly sophisticated.
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diff --git a/events/seminars/2021-04-14/Robin-Cooper/index.html b/events/seminars/2021-04-14/Robin-Cooper/index.html
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The Centre for Linguistic Theory and Studies in Probability
Types and probability: Implementing probabilistic TTR
Pyttr is an attempt to implement TTR in a way that will be useful for agents like robots which are observing and negotiating a changing environment. Two key aspects of this are: Dynamic processing -- witnesses can be added to types during computation (meant to be useful for agents observing new objects and making judgements about their types) and witness conditions can be added to a type during computation (meant to be useful for agents engaging in a learning process and refining the definition of a type on the fly). Types as an interface to an extra-typetheoretical world -- witness conditions for types can call on arbitrary external modules which need not be implemented in pyttr, for example, classifiers created by standard machine-learning techniques.
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In non-probabilistic pyttr, objects which have been judged to be witnesses for a type are stored in a witness cache for that type. In probabilistic pyttr objects which have been judged for a type are stored in the witness cache paired together with a probability interval, [n,m], indicating that the object is judged to be of the type with minimum probability n and maximum probability m. One interesting consequence of this is that we can store a negative judgement of an object (i.e. paired with the interval [0,0]). Also "Don't know" results ([0,1]) can be returned (since all probabilities are between 0 and 1).
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In the talk I will go through some of the examples in the probttr notebook cited above and discuss some of the questions that this approach raises -- to which I suspect the audience may have different answers than those which I have assumed in the implementation...
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diff --git a/events/seminars/2021-04-28/Mark-Steedman/index.html b/events/seminars/2021-04-28/Mark-Steedman/index.html
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The Centre for Linguistic Theory and Studies in Probability
Any theory of natural language consists of two modules: the grammar, which defines the semantics, and the model, which deals with the large amount of ambiguity inherent in natural languages concerning which meaning is in play. Even in linguistics, there is always a question as to the appropriate division of responsibility between the two for any phenomenon under discussion (although this question is not always acknowledged).
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In the case of semantic parsing, the mapping of strings of the language onto meaning representations, it has recently become clear that sequence-to-sequence models in which the entire responsibility lies with a neuro-computational machine-learned language model trained on paired strings and structured meaning representations such as treebank trees or dependency graphs can perform as well as rule-based parsing trained on comparable amounts of labeled data. The most data-efficient semantic parsers of this kind use the data to "fine-tune" language models based on contextualized word-embeddings, in which words are associated with vectors in a dimensionally-reduced space which preserve the Euclidean character of the original sparse high-dimensional associative matrix, trained over vast amounts of text.
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This triumph of the model in semantic parsing raises the question of whether the embeddings that are so effective in disambiguating words for that purpose might also take the place of word-meanings, with linear-algebraic operations such as vector addition and multiplication providing compositionality in semantic representation.
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In particular, it has recently been suggested that sequence-to-sequence transduction can be applied to logical inference, to capture relations of entailment between propositions representing relations over tuples of entities, such as that if Google bought YouTube, then Google owns YouTube.
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The talk will compare two distributional approaches to such inference. One is an unsupervised approach, under which entailment between relations like buying and owning is detected by parsing large volumes of text to detect subsumption between distributions of counts of tuples of entities standing in those relations, to build an entailment graph in which the nodes are relations. The other approach is supervised, based on pretrained embeddings, and uses corpora of entailing and nonentailing pairs to fine-tune the embeddings for entailment deduction, using much the same sequence-to-sequence alignment that is used in semantic parsing and neural machine translation.
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The talk will argue that the two approaches are complementary, in that the language model-based approach can be used to detect paraphrase, or bidirectional entailment, thereby increasing recall, but will conclude that there is no evidence that it can distinguish directional entailments. It will argue that this deficiency is inherent in the embeddings themselves, which are associative, rather than semantic.
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diff --git a/events/seminars/2021-05-12/Staffan-Larsson/index.html b/events/seminars/2021-05-12/Staffan-Larsson/index.html
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The Centre for Linguistic Theory and Studies in Probability
Bayesian inference and learning in Probabilistic Type Theory with Records
We propose a probabilistic account of semantic inference, classification and learning formulated in terms of probabilistic type theory with records (ProbTTR), building on Cooper et al. (2014, 2015). We suggest probabilistic type theoretic formulations of Naive Bayes Classifiers and Bayesian Networks. A central element of these constructions is a type-theoretic version of a random variable. We illustrate this account with a simple language game combining probabilistic classification of perceptual input with probabilistic (semantic) inference and learning. We also show how two alternative accounts of learning in this context can be cast in ProbTTR. (This is work that has been presented in earlier stages to CLASP but it is still in progress, in collaboration with Robin Cooper and Jean-Philippe Bernardy).
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diff --git "a/events/seminars/2021-05-19/J\303\266rg-Tiedemann/index.html" "b/events/seminars/2021-05-19/J\303\266rg-Tiedemann/index.html"
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The Centre for Linguistic Theory and Studies in Probability
What's in a translation model? Analyzing neural seq2seq models and the representations they learn
Neural sequence-to-sequence architectures are powerful models for various NLP tasks, machine translation being one of them. We are interested in exploring the representations that are learned by such models when trained on large and diverse multilingual data sets. It is still an open question what kind of linguistic properties are covered and how they are encoded in complex architectures such as a multi-layered transformer architecture, the current state-of-the-art in machine translation and many other tasks. Our main questions include the influence of multilinguality on linguistic abstraction, the traces of specific syntactic and semantic patterns in language representations and the differences of embeddings spaces trained with different objectives. In the talk I will discuss a few of our recent studies as part of the ERC project "Found in Translation" and the additional questions that they raise.
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diff --git a/events/seminars/2021-05-26/Moa-Johansson/index.html b/events/seminars/2021-05-26/Moa-Johansson/index.html
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The Centre for Linguistic Theory and Studies in Probability
Bias and Methods of AI technology studying Political Science
In this talk I will describe cross disciplinary project involving computer scientists and political scientists, funded by WASP-HS. Political scientists have an increasing interest in using AI methods in their research. In particular, the “text-as-data” paradigm is growing and require knowledge about techniques from machine learning, data science and natural language processing. Various sources of data is used, from short informal twitter posts, to transcripts of speeches or written parliamentary motions. Furthermore, the language of the country of study will influence the choice of AI techniques. For instance, a lot more data is available for English than for smaller languages, which means that powerful but data-hungry deep neural network methods might not always be the first choice.
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In our project, we have chosen to initially focus on written motions from the Swedish parliament, after also exploring transcripts of speeches from the US Senate. I will briefly describe some preliminary results where we compare the word embeddings resulting from training machine learning models on data from different parties. Is there a difference in how opposing parties use language about controversial issues which is reflected in word embeddings? Can this hint at differences in policy and ideology?
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This project is joint work between political scientists at Karlstad University (Annika Fredén and Pasko Kisic Merino) and computer scientists at Chalmers (Moa Johansson and Denitsa Saynova).
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diff --git a/events/seminars/2021-06-02/Richard-Johansson/index.html b/events/seminars/2021-06-02/Richard-Johansson/index.html
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The Centre for Linguistic Theory and Studies in Probability
Interpreting and Grounding Pre-trained Representations for Natural Language Processing
Presented by: Richard Johansson and Lovisa Hagström
Building computers that understand human language is one of the central goals in artificial intelligence. A recent breakthrough on the way towards this goal is the development of neural models that learn deep contextualized representations of language. However, while these models have substantially advanced the state of the art in NLP for a wide range of tasks, our understanding of the learned representations and our repertoire of techniques for integrating them with other knowledge representations and modalities remain limited.
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This talk will give an introduction to the project "Interpreting and Grounding Pre-trained Representations for Natural Language Processing", where we will develop new models that explore synergies between language representations and modalities of different types as well as analysis methods to investigate properties of learned representations. The project is funded by WASP and is a collaboration between Chalmers, Linköping University, and Recorded Future. We will give a high-level introduction to the overall goals of the project and then highlight some recent work where we investigate the effects of multimodal training of language models.
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The Centre for Linguistic Theory and Studies in Probability
Exploring Reasoning Capabilities of NLP systems using Recognizing Textual Entailment
Presented by: Adam Poliak
Duration: 2 hours
On: 09 Jun, 2021
Location: Gothenburg
Natural Language Processing (NLP) is the field of building machines that humans can seamlessly interact with through spoken and written language. As NLP systems become more ubiquitous in our daily lives through technologies like Google Translate and Apple’s Siri, it is important to develop methods that provide insight into understanding the reasoning capabilities of these systems. I will cover my work on developing diagnostic test-suites composed of fine-grained semantic phenomena. With remaining time, I will highlight some recent work in the community applying RTE as an evaluation method to downstream NLP models.
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The Centre for Linguistic Theory and Studies in Probability
Annotating Anaphoric Phenomena in Situated Dialog
Presented by: Sharid Loáiciga
Duration: 2 hours
On: 25 Aug, 2021
Location: Gothenburg
In recent years several corpora have been developed for vision and language tasks. However, there is still significant room for corpora that increase the complexity of both visual and linguistic domains and which capture different varieties. In this talk, I will present work extending the ARRAU (Uryupina et al., 2020) annotation scheme to account for the situated dialog genre. This annotation scheme covers a broad range of referential phenomena and is compatible with the textual task of coreference resolution. I will mention some of the open questions regarding the semantics of reference and annotation, but also the opportunities that such annotation offers.
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The Centre for Linguistic Theory and Studies in Probability
A space is worth a thousand words: A new spectral analysis method to evaluate vector space similarity
Presented by: Haim Dubossarsky from the University of Cambridge
Duration: 2 hours
On: 20 Oct, 2021
Location: Gothenburg
Abstract: “Vector-based models represent the meaning of words as numeric vectors, based on the words’ co-occurrence usage statistics as reflected in natural texts. These representations are ubiquitous in everyday language technology applications, and are also the object of scientific inquiry in computational linguistic, social sciences, and other data-driven research domains. Despite significant differences in the architecture of different models (e.g., whether they are static or contextualized word embeddings), all models can be thought of as implementing the distributional hypothesis. Perhaps due to the original theoretical framing of this hypothesis (“You shall know a word by the company it keeps”), word vectors are typically analyzed as separate units, and their potential interactions are thus overlooked. This unnecessarily limits the potential that lies in these representations for both scientific research and language technology applications.
+
I will present a novel framework that analyzes the entire vector space of a language, rather than focusing on individual vectors. Indeed, when the entire semantic space spanned by these vector representations is analyzed using spectral analysis, new information and language related features emerge. I will present results from cross-lingual transfer learning tasks, which are particularly suitable for the testing of the current framework, since performance in these tasks is impacted by the similarity between the languages at hand (i.e. the assumption of isomorphism between vector spaces). I will present a large-scale study focused on the correlations between similarity scores that were developed and computed for vector spaces and task performance, covering thousands of language pairs and four different tasks: Automatic bilingual lexicon induction (BLI), syntactic parsing, Part-Of-Speech tagging and Machine Translation. I will further introduce several similarity-isomorphism measures between two vector spaces, based on the relevant statistics of their individual spectra. I will empirically show that: (a) similarity scores derived from such spectral isomorphism measures are strongly associated with performance observed in different cross-lingual tasks; (b) these spectral-based measures consistently outperform previous standard isomorphism measures which are computed at the word level, while being computationally more tractable and easier to interpret; (c) these novel similarity-isomorphism measures capture complementary information to linguistic distance measures, and the combination of measures from the two types of measures yields even better results. Overall, these findings make an inroad to a new type of analysis, and demonstrate that richer and unique information lies beyond simple word level analysis.”
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The Centre for Linguistic Theory and Studies in Probability
Contextualized embeddings for semantics: some steps along the way
Presented by: Katrin Erk from the University of Texas
Duration: 2 hours
On: 27 Oct, 2021
Location: Gothenburg
Abstract: Word vectors, more recently called embeddings, capture regularities about a word's observed context items. In their most recent incarnation, contextualized word embeddings -- vectors for words in context -- are learned in contextualized language models. These embeddings could maybe become a great resource for lexical semantics, and a building block for structured sentence semantics. But in order to get there, we need to figure out how best to use contextualized embeddings for characterizing lexical meaning, and understand what kind of lexical meaning they provide, which theory of lexical meaning they best match. In this talk, I will discuss some recent steps that we have taken in this direction. There are several proposals in the
+recent literature for how best to use contextualized embeddings for lexical semantics -- intriguingly with conflicting findings. In our own proposal, we proposed computing multi-prototype representations from contextualized embeddings. With this representation, we can recover the old distinction of word similarity (as in dog-cat) versus word relatedness (as in dog-kennel) at different layers of embeddings from BERT, a contextualized language model. Taking a closer look at those multi-prototype embeddings, we see that they often match typical scenes or stories connected to a word, rather than different denotations. We argue that embeddings reflect a human perspective on the world as expressed in the way that humans use words: what humans find important, useful, and useless, what judgments they make, and what stories they like to tell using the words -- similar to Fillmore's Semantics of Understanding. This "story bias" is not new in contextualized embeddings, rather it has been observed, again and again, in bits and pieces, even with count-based vectors, and it is instructive to put all the pieces of evidence together. We argue that this "story bias" is not a flaw, not noise, but worth studying in its own right.
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The Centre for Linguistic Theory and Studies in Probability
Probabilistic compositional semantics, purely
Presented by: Julian Grove, University of Gothenburg
Abstract: This talk showcases some work currently being done with Jean-Philippe Bernardy. We provide a general framework for the integration of formal semantics based on the simply typed λ-calculus with probabilistic reasoning. The framework is conservative, in the sense that it relies only on typed λ-calculus itself and is thus compatible with many logical systems already in use. The framework is also presented modularly, in that it regards probabilistic effects (i.e., sampling and marginalization) as /side effects/, using continuations. We show how our framework may be used to build probabilistic programs compositionally within higher-order logic and then illustrate its use on some applications (semantic learning/inference).
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The Centre for Linguistic Theory and Studies in Probability
How language understanding unfolds in minds and machines
Presented by: Roger Levy, MIT
Duration: 2 hours
On: 17 Nov, 2021
Location: Gothenburg and Online
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The Centre for Linguistic Theory and Studies in Probability
Two New Insights into Beam Search
Presented by: Ryan Cotterell, University of Zürich
Duration: 2 hours
On: 24 Nov, 2021
Location: Gothenburg and Online
Abstract: “As a simple search heuristic, beam search has been used to decode models developed by the NLP community for decades. Indeed, it is noteworthy that beam search is one of the few NLP algorithms that has stood the test of time: It has remained a cornerstone of NLP systems since the 1970s (Reddy, 1977). As such, beam search became the natural choice for decoding neural probabilistic text generators—whose design makes evaluating the full search space impossible While there is no formal guarantee that beam search will return—or even approximate—the highest-scoring candidate under a model, it has repeatedly proven its merit in practice and, thus, has largely been tolerated—even embraced—as NLP’s go-to search heuristic. This talk further embraces beam search. We discuss two novel formal insights into beam search. In the first act, we discuss an algorithmic advance that allows beam search to be prioritized, i.e. it returns the best hypothesis (modulo the beam size) first. Our algorithmic extension yields a Dijkstra-ified beam search that provably emulates standard beam search. In the second act, we draw a connection between the uniform information density hypothesis from cognitive science and beam search’s efficacy as a search heuristic. We offer a linguistic reason why beam search may work so well in practice even though, as an approximation to the argmax, it may be arbitrarily bad. The work described in this talk is described in publications at TACL (20200 and EMNLP (2020) and won an honorable mention for best paper at the latter.”
+
Bio:
+Ryan Cotterell completed his undergraduate degree at Johns Hopkins University in Cognitive Science (with focal areas in Linguistics and Computational Methods) under the tutelage of Colin Wilson. He was then recruited by Jason Eisner to do a Ph.D. in Computer Science at Johns Hopkins University where he was a member of the Center for Language and Speech Processing. He is currently a tenure-track assistant professor at ETH Zürich in the Department of Computer Science where he is a member of the Institut für maschinelles Lernen. He was previously a Lecturer at the Computer Laboratory at the University of Cambridge in the United Kingdom where he is still affiliated. He has also done research stints at Google AI, Facebook AI Research and the Ludwig Maximilian University of Munich.
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The Centre for Linguistic Theory and Studies in Probability
Abstract Wikipedia and Vastly Multilingual Natural Language Generation
Presented by: Aarne Ranta, University of Gothenburg & Chalmers
Duration: 2 hours
On: 08 Dec, 2021
Location: Gothenburg and Online
Abstract: "Abstract Wikipedia is an initiative from the Wikimedia Foundation to generate Wikipedia articles from an abstract (i.e. language-neutral) source in multiple languages. The goal has been set to 20 million articles in over 300 languages, guaranteed to be in synchrony with up-to-date information and thereby with each other. This is by far the largest Natural Language Generation (NLG) project of all times. Grammatical Framework (GF), with 40 languages and specialized domains such as science, law, and e-commerce, is orders of magnitude smaller. Nevertheless, GF has served as inspiration for Abstract Wikipedia, and pilot projects have started to scale it up to the task. Research in both NLG techniques, language resources, processing algorithms, and interaction with human authors is needed. This talk will outline a possible way to build up Abstract Wikipedia by starting with simple text-robot-like techniques and proceeding to more sophisticated NLG."
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The Centre for Linguistic Theory and Studies in Probability
Interactive Task Learning From Corrective Feedback
Presented by: Mattias Appelgren, University of Edinburgh
Duration: 2 hours
On: 15 Dec, 2021
Location: Gothenburg and Online
Abstract:
+
The current approach to AI uses large datasets and fixed domains where systems learn to perform a single desired task to a very high level. However, each system is designed only for that limited task, which means that moving into new areas is costly and AI is only really feasible in domains with enough. However, the world is extremely complex with constraints constantly shifting and large variation between. For this reason Interactive Task Learning (ITL) is starting to be studied with the aim to build systems that are deployed not with a set of fixed skills, but deployed with the ability to learn new tasks through interactions with human users who aren’t experts in AI. To achieve this goal we need to develop methods of interaction which are natural for humans to perform and build systems that can learn from these natural modes of. In this talk I will present my PhD work on this topic where I look at how a teacher might use verbal corrective feedback to teach the agent about a task. We utilise concepts from formal semantics and pragmatics to reason about how the agent’s knowledge should change given the teacher’s utterance. In particular, we use the concept of coherence to place constraints on a probabilistic model for inferring what the world state is and what the teacher intended to convey with its correction. I present experiments testing our hypothesis which is that verbal corrections allow an agent to learn faster than it would if it just learns from the word “no” and we show that the learning is facilitated by the constraints imposed by coherence.
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The Centre for Linguistic Theory and Studies in Probability
Abstract: Are you a researcher (postgrad or staff) working with large data sets, critical discourse analysis, and/or use tools to analyse and interpret your data? Have you encountered limits of visualising your results?
+Digital Humanities, Social Sciences, and Natural Language Processing (NLP) all use computational methods for corpus research but face similar problems when critically interpreting and subsequently visualising their empirical data.
+In this presentation, I will start by taking you through some of the online tools and software that you can use to visualise your corpus.
+The second part of the talk will be a step-by-step Python-3 tutorial for those who want an easy start to getting data from Twitter and applying some common techniques in NLP, Text Analysis, Machine Learning, Topic Modelling, and Corpus Linguistics.
+The Python tutorial will be made available on GitHub so you can practice those in your spare time.
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The Centre for Linguistic Theory and Studies in Probability
Unitary Matrices are Composable and Learnable Word Embeddings
Presented by: Jean-Philippe Bernardy and Shalom Lappin from University of Gothenburg
Duration: 2 hours
On: 26 Jan, 2022
Location: Online
Abstract: “Unitary-evolution recurrent neural networks (URN) were previously introduced to address the problem of exploding and vanishing gradients, but have several other advantages. In this talk I will focus on the word embeddings that they learn. These are unitary matrices (unitary embeddings for short). Because of the absence of activation functions, the behaviour of the network is amenable to analysis using the methods of linear algebra. In particular unitary embeddings can be composed by multiplication. We develop and train a variant of the URN for two NLP-relevant tasks, and we achieve state of the art results on both. Our experiments show that they are able to track long distance dependencies, without additional storage or processing devices.”
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The Centre for Linguistic Theory and Studies in Probability
On the Interplay between Language and Vision in Transformers: How Much of a "Multi-Modal Learning" Do We Observe?
Presented by: Nikolai Ilinykh from University of Gothenburg
Abstract: "In this talk, I will present and discuss the results from our recently published journal article on how language can affect the structure of visual representations captured in multi-modal transformer (https://doi.org/10.3389/frai.2021.767971). This study examined learned self-attention patterns and focused on how two modalities affect each other's representations. In particular, these patterns captured various object-level relations (e.g., part-of vs whole) in different layers. Plus, we demonstrate the grounding of objects in text in deeper layers. Also, we observe a strong priming signal from language modality that eventually shapes and determines learned attention. In addition, we show that these findings echo several studies from cognitive science on how the human brain processes visual information. Our experiments demonstrate that knowledge captured by a multi-modal transformer can be not only interpreted but also linked with how humans structure the visual world around them. Thus, the question is: do such structures occur randomly or due to an actual learning process, and why do we observe so many similarities with the hierarchical visual processing performed by humans?"
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The Centre for Linguistic Theory and Studies in Probability
Grounded language learning, from sounds and images to meaning
Presented by: Afra Alishahi from Tilburg University
Duration: 2 hours
On: 09 Feb, 2022
Location: Online
Abstract: "In this talk, I will present and discuss the results from our recently published journal article on how language can affect the structure of visual representations captured in multi-modal transformer (https://doi.org/10.3389/frai.2021.767971). This study examined learned self-attention patterns and focused on how two modalities affect each other's representations. In particular, these patterns captured various object-level relations (e.g., part-of vs whole) in different layers. Plus, we demonstrate the grounding of objects in text in deeper layers. Also, we observe a strong priming signal from language modality that eventually shapes and determines learned attention. In addition, we show that these findings echo several studies from cognitive science on how the human brain processes visual information. Our experiments demonstrate that knowledge captured by a multi-modal transformer can be not only interpreted but also linked with how humans structure the visual world around them. Thus, the question is: do such structures occur randomly or due to an actual learning process, and why do we observe so many similarities with the hierarchical visual processing performed by humans?"
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The Centre for Linguistic Theory and Studies in Probability
Causal analysis of the syntactic representations of Transformers
Presented by: Tal Linzen from New York University
Duration: 2 hours
On: 16 Feb, 2022
Location: Gothenburg and Online
Abstract:
+
The success of artificial neural networks in language processing tasks has underscored the need to understand how they accomplish their behavior, and, in particular, how their internal vector representations support that behavior. The probing paradigm, which has often been invoked to address this question, relies on the (typically implicit) assumption that if a classifier can decode a particular piece of information from the model's intermediate representation, then that information plays a role in shaping the model's behavior. This assumption is not necessarily justified. Using the test case of everyone's favorite syntactic phenomenon - English subject-verb number agreement - I will present an approach that provides much stronger evidence for the causal role of the encoding of a particular linguistic feature in the model's behavior. This approach, which we refer to as AlterRep, modifies the internal representation in question such that it encodes the opposite value of that feature; e.g., if BERT originally encoded a particular word as occurring inside a relative clause, we modify the representation to encode that it is not inside the relative clause. I will show that the conclusions of this method diverge from those of the probing method. Finally, I will present a method based on causal mediation analysis that makes it possible to draw causal conclusions by applying counterfactual interventions to the inputs, contrasting with AlterRep which intervenes on the model's internal representations.
+
Bio:
+
Tal Linzen is an Assistant Professor of Linguistics and Data Science at New York University. Before moving to NYU in 2020, he was a faculty member at Johns Hopkins University, a postdoctoral researcher at the École Normale Supérieure in Paris, and a PhD student at NYU. At NYU, Tal directs the Computational Psycholinguistics Lab, which develops computational models of human language comprehension and acquisition, as well as methods for interpreting and evaluating neural network models for language technologies.
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The Centre for Linguistic Theory and Studies in Probability
The happiness of readers. Fractal scaling of sentiment dynamics and the assessment of literary quality.
Presented by: Yuri Bizzoni from Aarhus University
Duration: 2 hours
On: 02 Mar, 2022
Location: Gothenburg and Online
Abstract
+
I will present the main research question and hypothesis of the new project FabulaNet. FabulaNet revolves around the complex question of what determines literary quality and reader appreciation and aims at testing some aesthetic hypotheses with computational means: mainly, the possibility that the fractal properties of narrative texts' sentimental arcs might be contributing to our appreciation of literary stories. After discussing the theoretic and technical premises of the project I will relate early findings from our pilot studies, and I will present the directions we are interested in exploring this year. I will finally discuss the risks and limitations of the study and I will gladly take criticisms and ideas.
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The Centre for Linguistic Theory and Studies in Probability
Reinforcing Spirals and Online Conflict
Presented by: Gregor Rettenegger from University of Gothenburg
Duration: 2 hours
On: 09 Mar, 2022
Location: Gothenburg and Online
Abstract: Slater’s (2007, 2015) Reinforcing Spirals Model has gotten a lot of attention in communication research in recent years. The basic idea is that people that share beliefs flock into groups that have similar media use patterns and form homogeneous groups on social media. This behavior is likely to strengthen their group-defining beliefs, and social identities over time, creating a (sometimes) vicious cycle where beliefs lead to media use patterns, that in return reinforce those beliefs (and so on) over time. In the online sphere, people often rely on group or social identities to communicate to others who they are and what matters to them. One particularly promising way to express belonging to and increase one’s status in a social group is by attacking a supposedly evil outgroup (Tajfel et al., 1979; Klein et al., 2007). My Ph.D. project is located at the intersection of these concepts and aims at better understanding how media content, online homogeneity, and intergroup conflict drive polarization between social groups. Ultimately, I also aim to provide some insights into how online encounters between hostile groups might be designed or streamlined in a way that mitigates their polarizing effect.
+
Literature:
+Klein, O., Spears, R., & Reicher, S. (2007). Social identity performance: Extending the strategic side of SIDE. Personality and Social Psychology Review, 11(1), 28-45.
+
Slater, M. D. (2007). Reinforcing spirals: The mutual influence of media selectivity and media effects and their impact on individual behavior and social identity. Communication theory, 17(3), 281-303.
+
Slater, M. D. (2015). Reinforcing spirals model: Conceptualizing the relationship between media content exposure and the development and maintenance of attitudes. Media Psychology, 18(3), 370-395.
+
Tajfel, H., Turner, J. C., Austin, W. G., & Worchel, S. (1979). An integrative theory of intergroup conflict. Organizational identity: A reader, 56(65), 9780203505984-16.
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The Centre for Linguistic Theory and Studies in Probability
Modeling Dialogue through the Question-Answer relationship
Presented by: Maria Boritchev
Duration: 2 hours
On: 16 Mar, 2022
Location: Gothenburg and Online
Abstract:
+Formal studies of discourse raise numerous interrogations on the nature and the definition of the way consecutive sentences coherently combine with one another. Language is intrinsically dynamic: in its semantics in context (e.g. use of references) and in the interaction (e.g. connections between dialogue acts). The shift from discourse to dialogue brings forward even more specific issues among which the ones related to questions and answers articulation. In order to address these issues, we start by focusing on questions from a semantic point of view by investigating real-life data.
+There are numerous existing formalisms and frameworks for formal semantics of declarative sentences and discourse; dialogue is broadly studied from a linguistic and Natural Language Processing point of view. The goal of the work presented in this talk is to bring classical formal semantics theories to use in a setting oriented towards real-life dialogue. We produce models of dialogue and in particular of the articulation of questions and answers by mingling Neo-Davidsonian Event Semantics (NDES, as presented in Champollion, 2017) with Inquisitive Semantics (IS, Ciardelli et al, 2017) in a compositional and dynamic way through the use of Continuation Style Dynamic Semantics (CSDS, de Groote, 2006, extended in Lebedeva, 2012). Our model is rooted in a syntax-semantics interface implementation called Abstract Categorial Grammars (ACG, de Groote, 2001).
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The Centre for Linguistic Theory and Studies in Probability
How do words get in order? the role of speaker-hearer interaction in languages of South Africa
Presented by: Eva-Marie Bloom Ström
Duration: 2 hours
On: 23 Mar, 2022
Location: Gothenburg and Online
Abstract:
+
Referred to as verum focus since Höhle (1992), the emphasis on the expression of truth of a proposition is realized in in a variety of ways in languages. For example, German is analyzed as having a verum operator, realized as non-contrastive focus on the verb or the complementizer, while English and Spanish use lexical insertions (Gutzmann and Castroviejo Miró 2011):
+
+
Cross-linguistic examples (Gutzmann and Castroviejo Miró 2011: 144)
+
+
A: I wonder whether Carl has finished his book.
+
B1: Karl HAT sein Buch beendet.
+
B2: Carl did finish his book.
+
B3: Carlos sí acabó su libro.
+
The Bantu languages are known for their high word order flexibility. Different word orders interact with subject vs. expletive agreement, object agreement vs. lack thereof, as well as marking on the noun. The use of the different word orders relates to information structure (Downing and Hyman 2015). However, the finer details of discourse organization are still to be determined. And, the factors characterizing the marking of verum are unexplored for the Bantu languages. What we do know, is that focus is typically not marked through prosodic prominence in these languages (Kanerva 1990, Zerbian 2007).
+In my most recent VR-project, on which I will start this year, the aim is to investigate the role of different word orders in relation to information structure, and specifically also to answer the question of how verum is expressed. In this talk, I will present the background to this as well as preliminary findings. The project focuses on the Nguni subgroup of Bantu languages (Zulu, Xhosa, Ndebele). For Xhosa, there is an existing corpus developed during previous projects, containing a variety of e.g. conversations, procedural texts (e.g. explaining how to build a house) and narratives (Bloom Ström 2018).
+A secondary aim or output of the project is to digitize this small but unique collection of spoken Xhosa, with data from around the Eastern Cape; to bring this corpus online and make it searchable and available to a wider audience. As there are audio and video recordings, this aim comes with specific technical challenges which are still to be tackled.
+
References:
+
Bloom Ström, Eva-Marie. 2018. Linguistic and sociolinguistic aspects of variation in the Eastern Cape: complexities of Xhosa language use. Studia Orientalia Electronica 6:90-120.
+
Downing, Laura J. and Larry M. Hyman. 2015. Information structure in Bantu. In Caroline Féry and Shinichiro Ishihara (eds): The Oxford Handbook of Information Structure. Oxford handbooks online: Oxford University Press.
+
Gutzmann, Daniel and Elena Castroviejo Miró. 2011. The dimensions of verum. Empirical issues in syntax and semantics 8:143-165.
+
Höhle, Tilman. 1992. ‘Über Verum-Fokus im Deutschen’. In J. Jacobs (ed.) Informationsstruktur und Grammatik, 112-142. Germany: Westdeutscher Verlag Opladen.
+
Kanerva, Jonni M. 1990. Focus and phrasing in Chichewa phonology. New York: Garland Publishing.
+
Zerbian, Sabine. 2007. Investigating prosodic focus marking in Northern Sotho. In Katharina Hartmann, Enoch Aboh and Malte Zimmermann (eds): Focus Strategies in African Languages: The Interaction of Focus and Grammar in Niger-Congo and Afro-Asiatic, 55-79. Berlin: Mouton de Gruyter.
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The Centre for Linguistic Theory and Studies in Probability
Unnatural Language Semantics
Presented by: Shane Steinert-Threlkeld from the University of Washington
Unnatural language semantics is the study of the meaning of words and expressions in languages that are very unlike natural languages. In this talk, I will present several case studies about how unnatural language semantics can inform us about the structure of natural languages. In particular, I will explain and present several case studies of two methods of explaining semantic universals (shared properties of meaning across the languages of the world): one arguing that such universals arise due to learnability, and another due to optimally trading-off the competing pressures of simplicity and informativeness. The talk will conclude with some discussion about the relative merits of the two explanations, other avenues where unnatural language semantics can be helpful, and some other projects in my lab.
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The Centre for Linguistic Theory and Studies in Probability
Abstract:
+There has been an increased interest in developing general-purpose foundation models across different domains, such as language, vision, and multimodal. The appeal of this approach is pre-training models on large datasets once, and then adopting them to various tasks using a smaller supervised dataset. Moreover, these models achieve impressive results on a range of benchmarks, often performing better than task-specific models. In this talk, I will argue that we need better evaluation pipelines to better understand the shortcomings and strengths of pre-trained models. In particular, I will talk about: (1) the necessity of directly measuring real-world performance (as opposed to relying on benchmark performance), (2) the importance of strong baselines, and (3) how to design probing dataset to measure certain capabilities of our models. I will focus on commonsense reasoning and verb understanding as two challenging domains for our existing pretrained models.
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The Centre for Linguistic Theory and Studies in Probability
Dependency Parsing and Information Extraction in Low-Resource Scenarios
Presented by: Barbara Plank from IT University of Copenhagen
“The recent success of Natural Language Processing is driven by advances in modelling paired with strong language model encoders. However, for many application scenarios like low-resource languages and specific application domains we do not have access to labeled resources and even unlabelled data might be scarce. In this talk, I will present some of our recent work on how to transfer models to low-resource languages and language variants with the use of incidental (or fortuitous) learning signals such as genre paired with data selection for cross-lingual dependency parsing. I will further discuss some insights from our recent study on segment embeddings in multilingual BERT models, and on-going work on information extraction for computational job market analysis.”
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The Centre for Linguistic Theory and Studies in Probability
Grounded Language Learning through Interaction
Presented by: Bill Noble and Nikolai Ilinykh from University of Gothenburg
“One proposal for perceptually grounded representations of meaning is to identify perceptual meaning with perceptual classification. However, perceptual meaning need not be grounded directly in first-hand experience. If someone who doesn't know the meaning of raven is told that a raven is a large black corvid, they may get some idea of how to identify ravens, even if they have never seen one. In this scenario, an agent grounds the novel concept through linguistic communication with another agent. Successful grounding of the novel concept, in this case, requires (i) perceptual knowledge of related categories and (ii) an ability to connect a description of the unseen category with that knowledge. In this talk, we propose a novel machine learning task based on this scenario. We present preliminary language generation and understanding model architectures and measure their joint performance on zero-shot visual classification.”
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The Centre for Linguistic Theory and Studies in Probability
Is more better? Is better always better? Where’s the learning?
+The baffling case of computational thematic fit
Presented by: Yuval Marton from University of Washington
Modeling thematic fit (a verb–argument compositional semantics task) currently requires a very large burden of labeled data, and yet the results are mediocre. How can we improve, given the limitations of the current text-based approach and evaluation datasets? Can we improve the (labeled) data? Can we learn from peeking into the model and the learned representation?
+
To examine the labeled data direction, we modify the training dataset. The training dataset used by the previous state-of-the-art is a linguistically machine-annotated large corpus, which, due to its size, consists of outputs from mediocre but fast taggers. We replace these annotation layers with output from higher-quality, more modern taggers. We compare the old and new corpus versions’ impact on verb–argument fit modeling tasks, using a high-performing neural approach similar to the previous state-of-the-art. We discover that higher annotation quality dramatically reduces our data requirement while demonstrating better supervised predicate-argument classification.
+
But in applying the model to psycholinguistic tasks (thematic fit) outside the training objective, we see clear gains at scale, but only in one of two thematic fit estimation tasks, and no clear gains on the other. We also see that quality improves with training size, but perhaps plateauing or even declining in one task. Baffling. No less baffling is that random word embeddings perform as well as pre-trained embeddings. Why? We explore what settings allow for this and examine where most of the learning is encoded: the word embeddings, the semantic role embeddings, or “the network” (model). We find nuanced answers, depending on the task and its relation to the training objective. We replicate previous studies while modifying certain role representation details, and set a new state-of-the-art in event modeling, using a fraction of the data. We also make the new corpus version public.
+
And leave you baffled.
+
Bio:
+
Yuval Marton, PhD, is a computational linguist and artificial intelligence (AI) expert, active in both the industry (IBM, Microsoft, and most recently in the finance industry: Morgan Stanley and Bloomberg) and academia (affiliate professor at University of Washington; industry mentor at Columbia University, UCSC and UMass). Dr. Marton’s experience spans lexical semantics, paraphrasing, semantic role labeling, parsing, statistical machine translation, information retrieval (search engine result ranking, “big data”), and dialog systems (a.k.a. personal digital assistants or chatbots). He has been particularly interested in adapting machine learning (including deep learning) methods for natural language processing and understanding (NLP/NLU) – and using linguistically informed design to make such methods more effective and informative. More recently he has been interested also in technical mentoring for best practices in data science, and in increasing awareness to various forms of bias in NLP/AI, and how to develop and use these disruptive technologies ethically, given their substantial potential social impact for good or bad. Dr. Marton co-organized several NLP workshops, mostly in top-tier conferences such as ACL; served as the publication chair of several NLP conferences (EMNLP and *SEM); and delivered a tutorial session: “On-Demand Distributional Paraphrasing” at the NAACL-HLT conference. He received his Ph.D. in Linguistics from University of Maryland in 2009, concentrating on computational linguistics, with a Neuroscience and Cognitive Science (NACS) Program Certificate. He received his Masters in Computer Science from NYU/Poly in 2004.
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The Centre for Linguistic Theory and Studies in Probability
Biomedical speech signal processing: concepts, algorithms, and contemporary challenges
Presented by: Athanasios Tsanas from University of Edinburgh
Speech signal analysis finds application in diverse settings, and biomedical speech signal analysis has been gaining increasing momentum in the last 15-20 years. In this talk, I will focus on signal processing algorithms to quantify these potentially useful characteristics, and draw on different examples from my research work. These include information fusion approaches to better estimate fundamental frequency in speech, capitalizing on novel approaches to extract clinically useful information from speech signals, and combining speech signal processing with machine learning techniques to develop robust, automated decision support tools assisting experts on their day-to-day praxis in the context of medical applications and forensic applications. I will highlight contemporary challenges and areas for further development including discussing our work on the Parkinson’s Voice Initiative where we collected more than 19,000 phonations from people across 7 countries.
Thanasis studied Engineering and completed a DPhil (PhD) in Applied Mathematics at the University of Oxford (2012). He worked at the University of Oxford as a Research Fellow in Biomedical Engineering and Applied Mathematics (2012-2016), Stipendiary Lecturer in Engineering Science (2014-2016), and Lecturer in Statistical Research Methods (2016-2019). He is currently an Associate Professor in Data Science at the Usher Institute, Edinburgh Medical School, University of Edinburgh. He is Co-founder of the NHS Digital Academy leadership programme, where he leads the development and delivery of 'Clinical Decision Support and Actionable Data Analytics'. He received the Andrew Goudie award (top PhD student across all disciplines, St. Cross College, University of Oxford, 2011), the EPSRC Doctoral Prize award (2012), the young scientist award (MAVEBA, 2013), the EPSRC Statistics and Machine Learning award (2015), the BIOSTEC/Biosignals best paper award (2021), and won a ‘Best reviewer’ award from the IEEE Journal of Biomedical Health Informatics (2015) and an ‘Outstanding Reviewer’ award from the journal Computers in Biology and Medicine. He sits on the Editorial Boards of JMIR Mental Health, JMIR mHealth and uHealth, and Frontiers in Neurology. He is a Senior Member of IEEE, a Fellow of the Higher Education Academy, and a Fellow of the Royal Society of Medicine.
+
Indicative publications where I will draw material for the talk
+
A. Tsanas, S. Arora: Data-driven subtyping of Parkinson’s using acoustic analysis of sustained vowels and cluster analysis: findings in the Parkinson’s voice initiative study, Springer Nature Computer Science (accepted), 2022
+
S. Arora, A. Tsanas: Assessing Parkinson’s disease at scale using telephone-recorded speech: insights from the Parkinson’s voice initiative, Diagnostics, Vol. 11(1); e1892, 2021
+
S. Arora, C. Lo, M. Hu, A. Tsanas: Smartphone speech testing for symptom assessment in rapid eye movement sleep behavior disorder and Parkinson’s disease, IEEE Access, Vol. 9, pp. 44813-44824, 2021
+
A. Tsanas, M.A. Little, L.O. Ramig: Remote assessment of Parkinson’s disease symptom severity using the simulated cellular mobile telephone network, IEEE Access, Vol. 9, pp. 11024-11036, 2021
+
S. Arora, L. Baghai-Ravary, A. Tsanas: Developing a large scale population screening tool for the assessment of Parkinson’s disease using telephone-quality speech, Journal of Acoustical Society of America, Vol. 145(5), 2871-2884, 2019
+
A. Tsanas, M. Zañartu, M.A. Little, C. Fox, L.O. Ramig, G.D. Clifford: Robust fundamental frequency estimation in sustained vowels: detailed algorithmic comparisons and information fusion with adaptive Kalman filtering, Journal of the Acoustical Society of America, Vol. 135, pp. 2885-2901, 2014
+
A. Tsanas, M.A. Little, C. Fox, L.O. Ramig: Objective automatic assessment of rehabilitative speech treatment in Parkinson’s disease, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 22, pp. 181-190, 2014
+
A. Tsanas, M.A. Little, P.E. McSharry, J. Spielman, L.O. Ramig: Novel speech signal processing algorithms for high-accuracy classification of Parkinson’s disease, IEEE Transactions on Biomedical Engineering, Vol. 59, pp. 1264-1271, 2012
+
A. Tsanas: Accurate telemonitoring of Parkinson’s disease symptom severity using nonlinear speech signal processing and statistical machine learning, Ph.D. thesis, Oxford Centre for Industrial and Applied Mathematics, University of Oxford, 2012
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The Centre for Linguistic Theory and Studies in Probability
Dogwhistles: Masking, Vigilance, and Unmasking
Presented by: Elin McCready from Aoyama Gakuin University
Dogwhistles are coded signals used todisguise one's social persona from some listeners while revealing it to others,usually those who are sympathetic with it. This talk sketches a theory ofdogwhistles set in a game-theoretic context and considers two aspects ofdogwhistle interpretation and use: how searching for them can lead tohypervigilance and consequent disruptions in social cohesion, and in what kindsof circumstances speakers choose to abandon dogwhistling for direct signalingof their personas, arguing that both these phenomena are intertwined.
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The Centre for Linguistic Theory and Studies in Probability
Pragmatic Reasoning in Structured Signaling Games
Presented by: Emil Carlsson and Devdatt Dubhashi from Chalmers University
In this work we introduce a structured signaling game, an extension of the classical signaling game with a similarity structure between meanings in the context, along with a variant of the Rational Speech Act (RSA) framework which we call structured-RSA (sRSA) for pragmatic reasoning in structured domains. We explore the behavior of the sRSA in the domain of color and show that pragmatic agents using sRSA on top of semantic representations, derived from the World Color Survey, attain efficiency very close to the information theoretic limit after only 1 or 2 levels of recursion. We also explore the interaction between pragmatic reasoning and learning in multi-agent reinforcement learning framework. Our results illustrate that artificial agents using sRSA develop communication closer to the information theoretic frontier compared to agents using RSA and just reinforcement learning. We also find that the ambiguity of the semantic representation increases as the pragmatic agents are allowed to perform deeper reasoning about each other during learning.
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The Centre for Linguistic Theory and Studies in Probability
Conversational AI between hype and hope – A case for data- and human-centric approaches
Presented by: Alessandra Zarcone from University of Applied Sciences, Augsburg
The recent advancements in language modeling and conversational AI have been accompanied by the promise of a dramatic impact on the adoption of language technologies. Small and medium businesses are not immune to this hype, but often (1) lack the in-house expertise to develop user-centered design and (2) do not have enough (representative) data for training their machine learning modules, nor resources to collect it.
+
The NLP community has cared about data “before it was cool”. However, in the broader and more variegated community of ML/AI practitioners, the most relevant aspects of data are size of training data and the popularity of benchmark datasets (“the Kaggle game", Manning 2015). Users are also not typically part of the picture, and even less so are crowdworkers, whose humanity is hidden inside a metaphorical “mechanical Turk”. A scarce attention to data and users thus also has ethical consequences on how data is obtained and what data is used for.
+
I will present some recent work in conversational AI which is largely motivated by the need for a more user- and data-centered perspective. I argue that this perspective is a missing link when transferring technologies outside academia and into industrial use cases.
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The Centre for Linguistic Theory and Studies in Probability
A gentle introduction to argument mining
Presented by: Anna Lindahl, Arianna Masciolini, Ricardo Muñoz Sánchez and Stian Rødven-Eide from University of Gothenburg
Duration: 2 hours
On: 21 Oct, 2022
Location: Gothenburg and Online
Abstract
+
Following a PhD course on Argument Mining -- the process of automatically identifying and classifying arguments -- we present the essence of what we have learned. This seminar will provide an overview of the most common ways to approach this task, through annotation, finding claims, support and attack, and establishing the argument structure. No prior knowledge will be necessary to enjoy our talk.
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The Centre for Linguistic Theory and Studies in Probability
How Should Models of Language Meaning Learn?
Presented by: Casey Kennington from Boise State University
Distributional, grounded, and formal computational theories of how language is acquired, represented, and used are, it turns out, quite useful in many ways. Many aspects of language can be learned from just looking at a lot of text in a certain way, as evidenced by language models. Vision and language can come together to add world knowledge through grounded learning. Formal logics are useful for many things including inference. Are we at the point where computational models really "understand" natural language, and, if not, is more data and bigger models all we need? In my talk, I make an appeal to what is known about how human children learn language and how the progression of language learning matters for holistic language understanding.
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The Centre for Linguistic Theory and Studies in Probability
Entity tracking in pre-trained language models
Presented by: Sebastian Schuster from Saarland University
Understanding longer narratives or participating in conversations requires tracking of entities that have been mentioned and tracking how their properties change over the course of a discourse. In my talk, I will present two studies which assess the ability of large-scale pre-trained language models such as GPT-2/3 or T5 to track discourse entities.
+
I first consider the interactions between indefinite noun phrases and sentential operators and embedding verbs. For example, while 'a dog' in 'Arthur owns a dog' introduces an entity of a discourse, the sentence 'Arthur doesn't own a dog' does not due to the presence of negation. I adapt the psycholinguistic assessment of language models paradigm to higher-level linguistic phenomena and introduce an English evaluation suite that targets the knowledge of the interactions between sentential operators and indefinite NPs. I use this evaluation suite for a fine-grained investigation of the entity tracking abilities of the Transformer-based models GPT-2 and GPT-3.
+
In the second part of my talk, I'll focus on the extent to which the Transformer-based model T5 tracks updates to different entities as a discourse unfolds. I'll present a series of behavioral experiments that probe whether the model can systematically parse an initial state description and then track changes made to entities in subsequent sentences.
+
I'll conclude with a brief discussion of the implications for the learnability of meaning from large corpora, and ideas for how to improve entity tracking abilities in language models.
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The Centre for Linguistic Theory and Studies in Probability
Nucleus Composition in Transition-Based Dependency Parsing
Presented by: Joakim Nivre from Uppsala University and RISE Research Institutes of Sweden
Dependency-based approaches to syntactic analysis assume that syntactic structure can be analyzed in terms of binary asymmetric dependency relations holding between elementary syntactic units. Computational models for dependency parsing almost universally assume that an elementary syntactic unit is a word, while the influential theory of Lucien Tesnière instead posits a more abstract notion of nucleus, which may be realized as one or more words. In this article, we investigate the effect of enriching computational parsing models with a concept of nucleus inspired by Tesnière. We begin by reviewing how the concept of nucleus can be defined in the framework of Universal Dependencies, which has become the de facto standard for training and evaluating supervised dependency parsers, and explaining how composition functions can be used to make neural transition-based dependency parsers aware of the nuclei thus defined. We then perform an extensive experimental study, using data from 20 languages to assess the impact of nucleus composition across languages with different typological characteristics, and employing a variety of analytical tools including ablation, linear mixed-effects models, diagnostic classifiers and dimensionality reduction. The analysis reveals that nucleus composition gives small but consistent improvements in parsing accuracy for most languages, and that the improvement mainly concerns the analysis of main predicates, nominal dependents, clausal dependents and coordination structures. Significant factors explaining the rate of improvement across languages include entropy in coordination structures and frequency of certain function words, in particular determiners. Analysis using dimensionality reduction and diagnostic classifiers suggests that nucleus composition increases the similarity of vectors representing nuclei of the same syntactic type.
+
Joint work with Ali Basirat, Luise Dürlich and Adam Moss.
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The Centre for Linguistic Theory and Studies in Probability
Dendrophilia squared
Presented by: Alexander Clark from University of Gothenburg
Fitch (2014) suggests that at the heart of syntactic cognition is 'dendrophilia': "a propensity by our species to infer tree structures from sequential data". This is an appealing idea but raises two issues. First, how precisely does this happen, and which tree structures should they infer, given the indeterminacy of the tree structures given the observed sequences? Secondly, trees are notoriously inadequate for syntax: a majority of syntactic theory is concerned with deviations from hierarchical structure --- described variously as movement, displacement, internal merge and so on.
+
In this talk I will try to answer these questions using two ideas. First I use Roger's notion of multidimensional trees (Rogers, 2003) as syntactic structures, generalising the relation between a string considered as a 1-d structure and a tree considered as a 2-d structure to higher dimensions.
+Secondly I take a model for learning tree structures from sequential data with PCFGs, (Clark and Fijalkow, 2020) and show that it can be extended to learning 3d-trees from 2d-trees (Clark, 2021) and above if needed. By applying this model of dendrophilia twice we can then, in principle, learn these highly structured 3d trees from strings.
+
I then relate this to discussions of "well-nestedness" in grammar formalisms, and the extent to which this can account for observed syntactic structures in natural language corpora.
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The Centre for Linguistic Theory and Studies in Probability
Probing and Explaining Neural Language Models
Presented by: Marco Kuhlmann from University of Linköping
The impressive performance of neural language models such as GPT-3, PaLM and FLAN raises the question of to what extent these models have ‘learned’ language and how to reason with it. This talk will summarise recent work addressing this question along two lines of research: probing and explaining. Probing neural language models aims at finding evidence of learned linguistic structure by empirically testing hypotheses about the learned representations on diagnostic tasks. While this approach has generated interesting insights, we have shown that it comes with several methodological issues, including uncertainty about the suitability and validity of performance measures and the lack of suitable baselines [1–3]. Recent work has studied architectures augmented with the capability to generate free-text rationales that explain model output to investigate the reasoning capabilities of neural language models on tasks such as natural language inference and commonsense question answering. We have compared explanations by a generation-only model to those generated by a self-rationalizing model and found that, while the former score higher in terms of validity, factual correctness, and similarity to gold explanations, they are not more useful for downstream classification [4]. Our work raises important questions about the limitations of current methods for analysing neural language models and points to avenues for future work.
+
[1] Jenny Kunz and Marco Kuhlmann. Classifier Probes May Just Learn from Linear Context Features. COLING 2020 [2] Jenny Kunz and Marco Kuhlmann. Test Harder Than You Train: Probing with Extrapolation Splits. BlackboxNLP 2021 [3] Jenny Kunz and Marco Kuhlmann. Where Does Linguistic Information Emerge in Neural Language Models? Measuring Gains and Contributions Across Layers. COLING 2022 [4] Jenny Kunz, Martin Jirénius, Oskar Holmström, and Marco Kuhlmann. Human Ratings Do Not Reflect Downstream Utility: A Study of Free-Text Explanations for Model Predictions. Accepted to BlackboxNLP 2022.
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The Centre for Linguistic Theory and Studies in Probability
The Informative Speech Act: Linguistic Disambiguation on the basis of Epistemic Probability of Interpretations
Presented by: Jean-Philippe Bernardy from University of Gothenburg
In a series of influential papers, Lassiter and Goodman have proposed to use a variant of the rational speech act model to account for semantic learning of linguistic parameters of lexical items. In this talk, I propose a reformulation of the Lassiter-Goodman model in information-theoretic terms. This reformulation sets the stage not only for a critique of the model, but shows that semantic learning can be given a direct epistemic account for linguistic disambiguation, doing away with RSA. I will conclude the talk with a comparison of the two models.
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The Centre for Linguistic Theory and Studies in Probability
CamemBERT must die! (jk,lol) or "Beyond Sesame street-based naming schemes: Camembert vs CharacterBert, a study on the performance robustness of large monolingual language models and their character-based counterparts".
Presented by: Djamé Seddah from Université Paris-Sorbonne (Paris 4)
As cliché as it sounds, pretrained language models are now ubiquitous in Natural Language Processing, the most prominent ones being arguably Bert (Delvin et al, 2018). Many works have shown that Bert-based models are able to capture meaningful syntactic information using nothing else than raw data for training (eg. Jawahar et al, 2019) and this ability is probably one of the reasons of its success.
+
Anyway, until November 2019 and the release of CamemBERT, most available models were trained on English data or on the concatenation of data in multiple languages. In this talk, I’ll present the results of a work that investigates the feasibility of training monolingual Transformer-based language models for other languages, taking French as an example and evaluating our language models on part-of-speech tagging, dependency parsing, named entity recognition and natural language inference tasks. We show that the use of web crawled data is preferable to the use of Wikipedia data. Our best performing model established the state of the art in all four downstream tasks. More surprisingly, we show that a relatively small web crawled dataset (a few gigabytes) leads to results that are as good as those obtained using two magnitudes larger datasets.
+
Important questions still remain though: What to do in case of dialects with high variabilities in scarce resource scenarios? I’ll present a first round of results using a CharacterBERT model trained on very little data and evaluated on noisy French user-generated content and dialectal north-African Arabic written in Latin script (Arabizi), as commonly found in social media. Our experiments show that those models exhibit strong performance when facing noisy-content but so do “classical” Bert-based models trained on literally 100x more data. This questions the usefulness of those characterBert models in relatively resource-rich scenarios, even when facing very noisy text.
+
Joint work with Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, Yoann Dupont, Laurent Romary, Éric Villemonte de la Clergerie, and Benoît Sagot for the CamemBert part. With Arij Riabi for the CharacterBert experiments and Ganesh Jawahar for the Bertology parts.
+
Bio
+
Djamé Seddah is a tenured associate professor (Maître de Conférence) in CS at the Sorbonne University, currently on a long-term teaching leave at Inria Paris. His interests cover all parts of NLP, mainly syntactic analysis, wide coverage parsing, syntax-semantic interface, etc. Those days he's involved into the processing of noisy user generated content through treebanking, machine translation and parsing, focusing on context-aware models. More and more involved into contextual neural language models for under-resourced languages.
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The Centre for Linguistic Theory and Studies in Probability
Linguistic Creativity and Computational Modeling of Language
Presented by: Sina Zarrieß from University of Bielefeld
Many areas and theories in linguistics are concerned with regularities and conventions in language and interaction, essentially focussing on modeling language as a system. Yet, actual language data is often full of deviations from these regularities. When using language as a tool for interaction, speakers seem to have the ability to go beyond the conventions of the community they belong to and still be communicatively successful. In this talk, I will report on some recent attempts in linguistics (also in Bielefeld) to integrate creative aspects of language use with traditional approaches to language and to put linguistic creativity at the forefront of linguistic research. I will discuss how these ideas may relate to computational approaches in language and dialogue modeling and why they may constitute an interesting challenge for today's heavily data-driven frameworks. Last but not least, I will present recent and ongoing experiments on language generation and modeling that could be used to study linguistic creativity in computational settings.
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The Centre for Linguistic Theory and Studies in Probability
Discontinuous Constituency and BERT: Case Studies of Dutch
Presented by: G.J. (Gijs) Wijnholds from University of Utrecht
Large-scale language models like GPT-3 and BERT are considered stochastic parrots: they make reference to form but not to meaning. Yet, such models allow for high-performing fine-tuned models in NLP, begging the question of the how much linguistic information we can extract from them. In this talk, I discuss recent case studies in which we set out to quantify the syntactic capacity of BERT in the evaluation regime of non-context free patterns, as occurring in Dutch. We devised test suites based on a mildly context-sensitive formalism, from which we derive grammars that capture the linguistic phenomena of control verb nesting and verb raising, and other verb cluster formations. The grammars, paired with a small lexicon, provide us with a large collection of naturalistic utterances annotated with verb-subject pairings, that serve as the evaluation test bed for an attention-based span selection probe. Our results, backed by extensive analysis, suggest that the models investigated fail in the implicit acquisition of the dependencies examined. If time permits, we compare the two different strategies for generating test cases, and look into future extensions of this work.
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The Centre for Linguistic Theory and Studies in Probability
Computational Linguistic Approaches to Digital Conversations: the Case of Intensifiers
Presented by: Tatjana Scheffler from Ruhr-University Bochum
Abstract
+Intensifiers (really, so, very) are a frequent phenomenon typical of informal speech. In sociolinguistic studies, they have been shown to be highly variable and undergo constant innovation. They are also a common occurrence in casual conversations online. In this talk, I present recent research targeting medium specific, register specific, and individual variation in the use of intensifiers in German as a case study. I use a large Twitter data set as well as a new corpus of blog posts and tweets from the same authors to investigate the role of semantic differences between intensifiers, as well as the medium, register, and individual author properties to model intensifier choice. I argue that intensifiers share a core meaning component, but differ mainly in 'expressivity', a non at issue contribution that (roughly) indicates the level of emotional involvement of the author. I use information theoretic measures (surprisal) to model this expressive component. Based on this model, I test the predictions of the Uniform Information Density hypothesis to explain the existence of 'stacks' of more than one intensifier in the same phrase as well as their order. Finally, I present results on the automatic detection of intensifiers in text using ML classifiers, opening up a potential avenue to study linguistic creativity with computational means.
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The Centre for Linguistic Theory and Studies in Probability
Artificial Intelligence to Accelerate Language Documentation
Presented by: Rolando Coto Solano from Dartmouth College
Abstract
+Artificial intelligence techniques are available for large languages such as English, but they can help us dramatically accelerate our documention work even in languages with very few resources. In this talk we will focus on breaking the transcription bottleneck by discussing how speech recognition can facilitate the task of transcription. We will also look at techniques such as automated parsing and machine translation which can be helpful when compiling corpora. We will also look at the impact that technologies can have in language revitalization, and how even simple tools like predictive keyboards can help in this work. The talk will focus on examples from the languages Bribri from Costa Rica and Cook Islands Māori from Polynesia.
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The Centre for Linguistic Theory and Studies in Probability
Deep learning and severely under-resourced languages: How much can the model actually learn?
Presented by: Rolando Coto Solano from Dartmouth College
Abstract
+How do deep learning models behave when faced with truly low-resource languages? We will attempt to define what a "low-resource" language is, and we will look at examples of learning techniques such as cross-lingual approaches that do help in the learning of dramatically small datasets. By exploring speech recognition, parsing and machine translation, we will look at algorithms that work and algorithms that break under such conditions. We will also discuss the many differences in the nature of low-resource data, and how people go looking for data in the wrong places. Finally, we will discuss techniques such as attention vector analysis that can help us probe into what models can be learning in such data-limited scenarios. We will provide examples from the languages Bribri from Costa Rica and Cook Islands Māori from Polynesia.
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The Centre for Linguistic Theory and Studies in Probability
Understanding and Modelling Pronouns in Translation: Resources, Methods, Challenges and Insights
Presented by: Christian Hardmeier from IT University of Copenhagen
Abstract
+The difficulty of pronoun translation is typically illustrated with examples of anaphoric pronouns requiring gender agreement in the target language. However, pronoun translation is more complex than that. In this talk, I present our efforts to understand and model the generation and interpretation of pronouns in translation. A core resource is the ParCorFull corpus, a multilingual parallel dataset with a rich annotation of coreferential phenomena going beyond simple anaphoric references. ParCorFull has found a range of applications to the cross-lingual study of texts, to machine translation evaluation, leading to insights into translation processes, but also uncovering challenges due to how corpus annotation resolves ambiguity, potentially creating conflicts in a parallel data. Additional insights can be gained from studies of pronoun generation and interpretation we've conducted with human participants, highlighting the variance of typical patterns across five European languages. I also present our work on modelling pronoun translation in the context of cross-lingual coreference resolution and neural machine translation with the help of cross-lingual mention attention, resulting in consistent, but rather modest performance gains. If time permits, I may also talk a bit about our more recent work on evidential deep learning for uncertainty estimation.
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The Centre for Linguistic Theory and Studies in Probability
NLP beyond English: Do we need to think more about linguistics?
Presented by: Marcel Bollmann from Linköping University
Abstract
+From analysis of 16th-century text collections to machine translation for Creole languages: there are a lot of challenging application scenarios for NLP outside the “mainstream” English-language tasks. Yet many new NLP technologies are developed first and foremost for English, with “multilinguality” being achieved as a by-product of throwing more data at a model. Will this be the way forward? Are there still benefits in thinking about how we represent language for deep learning models, such as subword tokenization or incorporating linguistic structure?
+
In this talk, I will probably have more questions than answers, but will provide some perspectives from my own work on these topics — from failed attempts at building machine translation models for indigenous American languages to investigations of morphology and subword tokenization — with the overarching themes of: How good are we already at NLP beyond English? Is there value in thinking more about linguistics when building NLP models?
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The Centre for Linguistic Theory and Studies in Probability
Scaling up a joint model of word meaning and sentence meaning: Situation Description Systems and the Visual Genome
Presented by: Katrin Erk from University of Texas at Austin
Abstract
+How can a fine-grained representation of word meaning be integrated with a formal representation of sentence meaning? More specifically, how can such a representation address uncertainty and gradience? There are a number of approaches that address this question, including McNally (2015). Emerson (2016,2018,2020), Bernardy et al (2018, 2019), Sadrzadeh and Muskens (2018). Erk and Herbelot (2023). In this talk, we build on our own recent approach, Situation Description Systems (Erk and Herbelot 2023). Situation Description Systems describe meaning as both intensional and conceptual; the conceptual representation is a probabilistic graphical model representing dependencies between the underlying concepts of words in the sentence. So far, the approach was only toy-size, and could not be applied at scale. In this talk, we present a scaled-up variant of Situation Description Systems that uses a sizable lexicon derived from the Visual Genome database of annotated images. Concepts are represented by embeddings computed from labels in the image annotations.
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The Centre for Linguistic Theory and Studies in Probability
Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences
Presented by: Asad Sayeed from University of Gothenburg and Xudong Hong from Saarland University
Duration: 2 hours
On: 26 May, 2023
Location: Online
Abstract
+Current work on image-based story generation suffers from the fact that the existing image sequence collections do not have coherent plots behind them. We improve visual story generation by producing a new image-grounded dataset, Visual Writing Prompts (VWP). VWP contains almost 2K selected sequences of movie shots, each including 5-10 images. The image sequences are aligned with a total of 12K stories which were collected via crowdsourcing given the image sequences and a set of grounded characters from the corresponding image sequence. Our new image sequence collection and filtering process has allowed us to obtain stories that are more coherent and more diverse compared to previous work. We also propose a character-based story generation model driven by coherence as a strong baseline. Evaluations show that our generated stories are more coherent, visually grounded, and more diverse than stories generated with the current state-of-the-art model. Our code, image features, annotations and collected stories are available at https://vwprompt.github.io/.
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The Centre for Linguistic Theory and Studies in Probability
Informativity in cooperative communication
Presented by: Hannah Rohde from University of Edinburgh
Abstract
+In studying meaning in communication, a question arises as to which meanings are favored by interlocutors. While a range of candidate meanings may be possible and even plausible, how do speakers select which meanings to communicate and how do listeners make guesses as to the most probable meaning when trying to recover what a speaker intends or when anticipating what a speaker will say next?
+
In this talk, I compare two hypotheses for ranking candidate meanings that a speaker might contribute to a discourse. Under one account, listeners' guesses simply reflect the probability that different meanings hold true: Speakers are taken to generate sentences that describe the world they see and listeners come to expect sentences about the typical situations speakers find themselves in. A second account combines this component with a component capturing the likelihood that a speaker, knowing some meaning to be true, would select that meaning as one worth conveying to a listener in an utterance. I present a series of psycholinguistic studies measuring listeners' awareness of speakers' production likelihoods. For example, although bananas are prototypically yellow, speakers rarely mention this yellowness in their utterances. In an eye-tracking study measuring anticipatory looking, listeners who hear a speaker use an ambiguous color adjective are found to anticipate subsequent mention of an object for which that color is less typical in the real world. Similarly, in a study on comprehenders' guesses of what a speaker will say next, participants are shown to disprefer upcoming material that describes situation-typical outcomes. Further studies target properties of the speaker and show that the more aware comprehenders are of the speaker as an intentional knowledgeable communicator, the more informative they expect the speaker's contribution to be and the more inferences they draw from the speaker's content selection. This work raises questions about the ways in which learners (humans, machines) acquire information about the world if their linguistic input favors the description of real-world-atypical content.
+
The findings highlight the importance of establishing not only which meanings are possible and how they are derived, but also which meanings are probable as likely contributions to coherent discourse, despite -- or perhaps as a result of -- denoting non-typical situations.
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The Centre for Linguistic Theory and Studies in Probability
Hybrid Recurrent Architectures for Quantum-Classical NLP
Presented by: Stephen Clark, Head of ArtificiaI Intelligence, Quantinuum
Abstract
+In this talk I will describe various recurrent architectures based around Parameterised Quantum Circuits (PQCs). A PQC is applied at each time step to produce a quantum state, and each application of the PQC is determined by an angle encoding of the corresponding word (via its classical word embedding). The quantum state can then be measured in order to produce a classical output. All the parameters of the hybrid model can be learned end-to-end using classical optimisers applied to some NLP task, in this case a standard sentiment analysis dataset. The models are trained and tested in simulation, with the potential to be run on real quantum hardware. Our experiments demonstrate encouraging performance compared to a classical RNN baseline.
+
Bio: Prior to joining Quantinuum as Head of AI, Stephen Clark spent 18 years working at UK universities, first as a postdoctoral researcher at the University of Edinburgh, then as a member of Faculty at the Universities of Oxford and Cambridge, including 4 years as a Tutorial Fellow at Keble College, Oxford. He has also been an Honorary Professor at Queen Mary University of London. From 2016 to 2021 he was a Senior Research Scientist at DeepMind in London. Stephen Clark holds an undergraduate degree in Philosophy from the University of Cambridge (Gonville and Caius College) and a PhD in Computer Science and Artificial Intelligence from the University of Sussex. Much of his research has been concerned with the syntactic and semantic analysis of text, which he currently investigates in the context of quantum computing.
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The Centre for Linguistic Theory and Studies in Probability
Counterfactual reasoning capabilities of GPT: Preliminary findings
Presented by: Alexander Berman from University of Gothenburg
Abstract
+Recently, there has been a large interest in large language models (LLMs) such as GPT and their ability to engage in human-like dialogue and use commonsense reasoning. We experimentally investigate a specific aspect of these abilities, namely counterfactual explanations. The capacity to reason counterfactually and provide relevant explanations is particularly important when using AI to assist high-stake decisions and assessments such as credit approval or medical diagnostics. For example, if a loan applicant is denied credit, a counterfactual explanation conveys the conditions under which the credit would have been granted. By injecting a decision-making algorithm into the model's prompt and systematically probing and annotating responses for carefully chosen inputs, we study potential patterns in GPT's selection of counterfactual examples. Preliminary results indicate that when GPT 3.5 provides counterfactual explanations, it does not consider causal relations between variables in a way that one would expect from a model with strong commonsense reasoning capabilities. We discuss potential implications of these results for real-world applications and future research.
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The Centre for Linguistic Theory and Studies in Probability
Causal abstraction for faithful, human-interpretable model explanations
Presented by: Christopher Potts from Stanford University
Abstract:
+Explaining why a modern AI model makes the predictions it does has emerged as one of the most important questions in AI. In this era of ever-widening impact, the field has rightly turned its attention to questions of trust, safety, reliability, and bias mitigation for the models we deploy, and seriously addressing these questions will require us to understand whether and how these models represent and use human-interpretable concepts. In this talk, I'll report on our recent efforts to achieve these explanations using a family of techniques called causal abstraction. In causal abstraction analysis, one assesses the extent to which an interpretable high-level model (say, a computer program) is a faithful proxy for a lower-level model (say, a neural network). Such analyses have already revealed a great deal about how models solve complex tasks. In particular, we are seeing that the best present-day large language models often induce interpretable, quasi-symbolic solutions that enable them to do well on hard, out-of-domain generalization tasks. This is encouraging, but it should be said that we are far from having the comprehensive understanding we need to offer even tightly circumscribed guarantees of safety and trust.
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The Centre for Linguistic Theory and Studies in Probability
Workshop on Dialogue and Perception 2018
Cordinated by: The Tenth Scandinavian Logic Symposium
Duration: 2 days
On: 2018-06-14T00:00:00.000Z
Location: Wallenberg Conference Centre, University of Gothenburg
The study of dialogue investigates how natural language is used in interaction between interlocutors and how coordination and successful communication is achieved. Dialogue is multimodal, situated and embodied, with non-linguistic factors such as attention, eye gaze and gesture critical to understanding communication. However, studies on dialogue and computational models such as dialogue systems have often taken for granted that we align our perceptual representations, which are taken to be part of common ground (grounding in dialogue, Clark, 1996). They have also typically remained silent about how we integrate information from different sources and modalities and the different contribution of each of these. These assumptions are unsustainable when we consider interactions between agents with obviously different perceptual capabilities, as in the case in dialogues between humans and artificial agents, such as avatars or robots.
+
Contrarily, studies of perception have focussed on how an agent interacts with and interprets the information from their perceptual environment. There is significant research on how language is grounded in perception, how words are connected to perceptual representations and agent's actions and therefore assigned meaning (grounding in action and perception, Harnad, 1990). In the last decade there has been impressive progress on integrated computational approaches to language, action, and perception, especially with the introduction of deep learning methods in the field of image descriptions that use end-to-end training from data. However, these have a limited integration to the dynamics of dialogue and often fail to take into account the incremental and context sensitive nature of language and the environment.
+
The aim of this workshop is to initiate a genuine dialogue between these related areas and to examine different approaches from computational, linguistic and psychological perspectives and how these can inform each other. It will feature invited talks by leading researchers in these areas, and high level contributed papers, presented as posters, selected through open competition and rigorous review.
The Centre for Linguistic Theory and Studies in Probability (CLASP) focuses its research on the application of probabilistic and information theoretic methods to the analysis of natural language. CLASP is concerned both with understanding the cognitive foundations of language and developing efficient language technology. We work at the interface of computational linguistics/natural language processing, theoretical linguistics, and cognitive science.
CLASP is located in Gothenburg, Sweden at the University of Gothenburg. We are part of the Department of Philosophy, Linguistics and Theory of Science (FLoV).
News
Research Seminar
On: October 25, 2023
Presented by: Claire Gardent from LORIA, CNRS and Université de Lorraine
I am the administrator of CLASP - a project within the Department of Philosophy, Linguistics and Theory of Science (FLoV). My tasks involve…
Funded By
CLASP is funded by a 10 year grant from the Swedish Research Council (2015-2025). The funding from the Swedish Research Council and GU grant allows recruitment of prof. Shalom Lappin, a senior lecturer, a researcher/project coordinator, 12 PhD and 9 postdoctoral research positions. The funding also provides means for workshops, conferences and visits of guest researchers to Gothenburg. CLASP will bring together researchers in theoretical linguistics, computational linguistics, logic, AI, cognitive psychology, and robotics.
Soon, chat bots will be able to laugh at your jokes. They also know when you’re going to laugh – even before you are aware of this. This has been shown in a new thesis that investigated the gaze patterns linked to laughter.
+
‘Dialogue system’ refers to technologies such as chat bots or conversation agents that people can talk to. These systems use large amounts of data, machine learning and natural language processing to be able to imitate human interactions, and recognise speech and text inputs.
+
Things like rhetorical questions have long been a challenge in the field of computational linguistics when working with dialogue systems. Now a research group at the University of Gothenburg has discovered that laughter can be a key for dialogue systems to better understand intentions.
+
“Our studies have laid the foundation for integrating laughter into spoken dialogue systems,” says Vladislav Maraev.
+
He has just defended his thesis Who is laughing now? Laughter-infused dialogue systems and is part of the research group at CLASP, Centre for Linguistic Theory and Studies in Probability, at the University of Gothenburg.
+
“The thesis shows that neural networks are effective in predicting laughter from dialogue transcripts. In addition, we gave the same task to people, and it turned out that neural networks were much better at it than untrained people. This suggests that people don’t know why they laugh at particular junctures – even though their laughter follows consistent patterns.
+
Related to gaze patterns
+For a dialogue system involving an avatar or an embodied conversation agent for example, it is important to learn how laughter is linked to other behaviours to be able to put system laughter in appropriate places with the aid of AI. The researchers therefore examined how laughter relates to gaze patterns when people interact with each other.
+
“We showed that the function of laughter is related to different gaze patterns, in particular that gaze can signal the onset and end of laughter. Another finding is that different types of laughter are accompanied by different gaze patterns in the person laughing as well as the person with whom they are interacting.
+
These findings suggest that future conversation agents should not handle all laughter in the same way.
+
“They should be sensitive to precise coordination between laughter and gaze, which is entirely dependent on the type of laughter involved ," says Vladislav Maraev.
+
The thesis also studies how laughter affects the interpretation of a user's communicative intentions. An example is rhetorical questions, which on the surface look like a question but where the intention is not to ask a question at all, and therefore no response is needed.
+
For computational linguistics applications (computer programs used to analyse, understand and generate natural language) it has long been a challenge to understand figurative meanings.
+
“We discovered that it is useful to use laughter for this purpose. It was fascinating to see that laughter helps to clarify meaning when the system is required to understand the user’s intention. This was true of both literal and figurative interpretations of utterances. We showed that laughter alone can reveal the communicative intention,” says Vladislav Maraev.
+
Humour as an interactive phenomenon
+By drawing parallels between laughter and what is called ‘grounding’ in communication contexts – that is, signals that show that everyone in a conversation is on board with it, for example, by uttering an ‘mhm’ – the researchers looked at laughter that was used to respond in the negative to questions. This gave them an insight into the possibility of including knowledge of laughter in machine learning.
+
“This contribution to the research is an example of how laughter can be used in dialogue systems and shows the potential for expanding the research to other types of laughter, such as when it used as positive feedback on a joke.
+
Another goal of the studies in the thesis was to bridge the gap between laughter and humour. Although humour is not a prerequisite for laughter, it is closely connected, and Vladislav Maraev stresses the importance of analysing humour as an interactive phenomenon and how it is linked to laughter.
+
“We proposed a theory that we believe is the first to take an interactive approach to humour. We investigated how humour is related to reasoning about social conventions and other learned and implied assumptions and explained our theory on the basis of foundations that are external to existing theories of humour and used in discussions of other linguistic and interactive phenomena.
+
The thesis Who is laughing now? Laughter-infused dialogue systems was publicly defended on 29 August at the Faculty of Humanities, University of Gothenburg.
Vladislav Maraev, phone: +46(0)31-786 2936, e mail: vladislav.maraev@gu.se
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The Centre for Linguistic Theory and Studies in Probability
Learning with Small Data (LSD) Conference
Date: September 11, 2023
Learning with Small Data is a conference organized by the Centre for Linguistic Theory and Studies in Probability (CLASP), https://www.gu.se/en/clasp at the Department of Philosophy, Linguistics and Theory of Science (FLoV). The conference will be held between September 11 to September 12.
+
There is now an acute need for intensive research on the possibility of effective learning with small data. Our 2023 conference, LSD, is devoted to work on this problem, with application to computational linguistics.
+
Why is there this need? Current deep learning systems require large amounts of data in order to yield optimal results. Neural language models are now trained on many billions of parameters, with data sets that are terabytes in size. Despite this, they have achieved remarkable success across a wide range of tasks in Natural Language Processing, and in AI generally. But these systems have a number of limitations which require closer attention:
+
First, the models take a long time to pretrain, and they are difficult to modify. As a result, much research in NLP is shaped by what one can achieve with large transformers. This has marginalised important computational learning questions for which they are not well suited.
+
Second, because of the heavy resources required to develop them, they have become the preserve of tech companies. Researchers at most universities and smaller centres are now positioned as consumers of these systems, limited to fine tuning them for experimental work on downstream tasks.
+
Third, the complexity, size, and mode of computation of transformers has rendered the way in which they acquire the generalisations extracted from data largely opaque. This has made it difficult to understand precisely why they succeed, or fail, where they do.
+
Finally, comparison with human learning and representation has become increasingly difficult, given the large disparity in accessible data and learning time between transformers and humans. Therefore, the cognitive interest of deep learning has receded.
+
These reasons alone are sufficient to motivate us at CLASP to bring fellow researchers together for an organized discussion. We welcome original contributions in all areas of NLP and related domains of AI that address aspects of this issue.
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The Centre for Linguistic Theory and Studies in Probability
Studies in Language Structure using Deep Learning
Presented by: Adam Ek
Date: September 08, 2023
Cordially welcome to the public defence of Adam Ek's doctoral thesis on Friday 8 September, at 10:15 in room J222, Faculty of Humanities. The title is "Studies in Language Structure using Deep Learning".
+
Doctoral candidate: Adam Ek, University of Gothenburg
+
Supervisor: Jean-Phillipe Bernardy, University of Gothenburg
+Assistant supervisor: Stergios Chatzikiriakidis, University of Gothenburg
+
Opponent: Assistant Professor Lasha Abzianidze, Utrecht University
+
Committee:
+Professor, Stephen Clark, Head of ArtificiaI Intelligence, Quantinuum
+Docent Sara Stymne, Uppsala universitet
+Associate Professor Johannes Bjerva, Aalborg universitet
+
Chair: Associate Professor Asad Basheer Sayeed, Göteborgs universitet
+
Date: 2023-09-08
+
Title: Studies in Language Structure using Deep Learning
+
Abstract: This thesis deals with the discovery, prediction, and utilization of structural patterns in language using deep learning techniques. The thesis is divided into two sections. The first section gives an introduction to the tools used and the structures in language we are interested in. The second part presents six papers addressing the research questions. The first three papers deals with discovering and predicting patterns. In the first paper, we explore methods of composing word embeddings to predict morphological features. The second paper explores the possibility of using vector norms to approximate syntactic complexity. The third paper deals with predicting the depths of nested structures. The remaining three papers deal with using structures in language to make semantic predictions. The fourth paper explores using dependency trees to predict semantic predicate-argument structures using a rule-based system. The fifth paper explores modeling linguistic acceptability using syntactic and semantic labels. The sixth paper deals with exploring how punctuation affects natural language inference.
+
Full text:
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The Centre for Linguistic Theory and Studies in Probability
Public defence of William Noble's doctoral thesis
Presented by: William Noble
Date: April 20, 2023
Cordially welcome to the public defence of William Noble's doctoral thesis on Thursday 20 April, at 13:15 in room J222, Renströmsgatan 6, Faculty of Humanities, or via Zoom: https://gu-se.zoom.us/j/61309889826. The title is "Semantic change in interaction: Studies on the dynamics of lexical meaning".
+
Doctoral candidate: William Noble, University of Gothenburg
+
Supervisor: Staffan Larsson, University of Gothenburg
+Assistant supervisor: Asad Sayeed, University of Gothenburg
+
Opponent: Associate professor Casey Kennington, Boise State University
+
Committee:
+Professor Hana Filip, Heinrich Heine Universität, Düsseldorf
+Associate Professor, Jakub Szymanik, University of Trento
+Docent Dana Dannells, Göteborgs universitet
+
Chair: Professor Eleni Gregoromichelaki, Göteborgs universitet
+
Date: 2023-04-20
+
Title: Semantic change in interaction: Studies on the dynamics of lexical meaning
+
Abstract: This compilation thesis investigates how word meanings change. In
+particular, it's concerned semantic change at the levels of
+interaction and the speech community. To this end, the compiled
+studies employ methods from both formal and computational semantics.
+
The first study presents a model for, and companion annotation study of,
+word meaning negotiation, a conversational routine in which the
+meaning of a word becomes an explicit topic of conversation. The next
+two studies introduce and apply classification systems, a model of
+communal conceptual resources for ordering and talking about a
+particular domain. We use a formalization thereof to model how
+genus-differentia definitions can be used in interaction to update
+lexical knowledge of perceptual categories. The next study considers a
+related phenomenon, perceptual category description, but this time
+from a computational perspective. By modeling a short interaction
+between two neural networks, we investigate how different ways of
+representing perceptual categories affect linguistic grounding.
+Following that, we turn to the dynamics of social meaning, particularly
+the meaning of implicit conversational assumptions called topoi, with
+a focus on situations of involving uncertainty about the speaker's
+social identity. The final two studies of the thesis shift the focus
+from particular interactions to the level of the community. First, we
+investigate linguistic variation using community conditioned language
+models to learn vector representations for a collection of online
+communities. These language-based representations are found to correlate
+with community representations based on community membership alone.
+Finally, we use diachronic distributional word vectors to study
+short-term semantic shift in online communities. We find that semantic
+change has a significant yet nuanced relationship with the social
+structure of the community.
+Altogether, the compilation offers two main insights. First, semantic plasticity is directly related to the complexity of the lexical semantic system. Words exhibit both perceptual and inferential meaning potential, each of which play a role in conveying and learning new words. Monolithic representations of word meaning belie a structured flexibility that guides how words can be used, while providing opportunities for innovation. It is this flexibility that is often the site of new conventionalized meanings. Second, semantic change is rooted in the interactive practices of the community. Communities sustain the communicative norms that govern how linguistic interaction takes place. These norms provide a framework for negotiating meaning. They also comprise the social and semiotic context that supports semantic innovation and change.
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diff --git a/news/Seminar by Alessandra Zarcone/index.html b/news/Seminar by Alessandra Zarcone/index.html
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The Centre for Linguistic Theory and Studies in Probability
Conversational AI between hype and hope – A case for data- and human-centric approaches
Presented by: Alessandra Zarcone from University of Applied Sciences, Augsburg
Date: June 15, 2022
Abstract:
+
The recent advancements in language modeling and conversational AI have been accompanied by the promise of a dramatic impact on the adoption of language technologies. Small and medium businesses are not immune to this hype, but often (1) lack the in-house expertise to develop user-centered design and (2) do not have enough (representative) data for training their machine learning modules, nor resources to collect it.
+
The NLP community has cared about data “before it was cool”. However, in the broader and more variegated community of ML/AI practitioners, the most relevant aspects of data are size of training data and the popularity of benchmark datasets (“the Kaggle game", Manning 2015). Users are also not typically part of the picture, and even less so are crowdworkers, whose humanity is hidden inside a metaphorical “mechanical Turk”. A scarce attention to data and users thus also has ethical consequences on how data is obtained and what data is used for.
+
I will present some recent work in conversational AI which is largely motivated by the need for a more user- and data-centered perspective. I argue that this perspective is a missing link when transferring technologies outside academia and into industrial use cases.
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diff --git a/news/Seminar by Alessandro Lenci/index.html b/news/Seminar by Alessandro Lenci/index.html
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The Centre for Linguistic Theory and Studies in Probability
Presented by: Alessandro Lenci from Università di Pisa
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diff --git a/news/Seminar by Alex Warstadt/index.html b/news/Seminar by Alex Warstadt/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
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diff --git a/news/Seminar by Alexander Berman/index.html b/news/Seminar by Alexander Berman/index.html
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The Centre for Linguistic Theory and Studies in Probability
Counterfactual reasoning capabilities of GPT: Preliminary findings
Presented by: Alexander Berman from University of Gothenburg
Date: September 27, 2023
Abstract: Recently, there has been a large interest in large language models (LLMs) such as GPT and their ability to engage in human-like dialogue and use commonsense reasoning. We experimentally investigate a specific aspect of these abilities, namely counterfactual explanations. The capacity to reason counterfactually and provide relevant explanations is particularly important when using AI to assist high-stake decisions and assessments such as credit approval or medical diagnostics. For example, if a loan applicant is denied credit, a counterfactual explanation conveys the conditions under which the credit would have been granted. By injecting a decision-making algorithm into the model's prompt and systematically probing and annotating responses for carefully chosen inputs, we study potential patterns in GPT's selection of counterfactual examples. Preliminary results indicate that when GPT 3.5 provides counterfactual explanations, it does not consider causal relations between variables in a way that one would expect from a model with strong commonsense reasoning capabilities. We discuss potential implications of these results for real-world applications and future research.
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diff --git a/news/Seminar by Alexander Clark/index.html b/news/Seminar by Alexander Clark/index.html
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The Centre for Linguistic Theory and Studies in Probability
Dendrophilia squared
Presented by: Alexander Clark from University of Gothenburg
Date: November 25, 2022
Abstract
+
Fitch (2014) suggests that at the heart of syntactic cognition is 'dendrophilia': "a propensity by our species to infer tree structures from sequential data". This is an appealing idea but raises two issues. First, how precisely does this happen, and which tree structures should they infer, given the indeterminacy of the tree structures given the observed sequences?
+Secondly, trees are notoriously inadequate for syntax: a majority of syntactic theory is concerned with deviations from hierarchical structure --- described variously as movement, displacement, internal merge and so on.
+
In this talk I will try to answer these questions using two ideas.
+First I use Roger's notion of multidimensional trees (Rogers, 2003) as syntactic structures, generalising the relation between a string considered as a 1-d structure and a tree considered as a 2-d structure to higher dimensions.
+Secondly I take a model for learning tree structures from sequential data with PCFGs, (Clark and Fijalkow, 2020) and show that it can be extended to learning 3d-trees from 2d-trees (Clark, 2021) and above if needed.
+By applying this model of dendrophilia twice we can then, in principle, learn these highly structured 3d trees from strings.
+
I then relate this to discussions of "well-nestedness" in grammar formalisms, and the extent to which this can account for observed syntactic structures in natural language corpora.
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diff --git "a/news/Seminar by Anna Lindahl, Arianna Masciolini, Ricardo Mu\303\261oz S\303\241nchez och Stian R\303\270dven-Eide/index.html" "b/news/Seminar by Anna Lindahl, Arianna Masciolini, Ricardo Mu\303\261oz S\303\241nchez och Stian R\303\270dven-Eide/index.html"
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+
The Centre for Linguistic Theory and Studies in Probability
A gentle introduction to argument mining
Presented by: Anna Lindahl, Arianna Masciolini, Ricardo Muñoz Sánchez and Stian Rødven-Eide from University of Gothenburg
Date: October 21, 2022
Abstract:
+Following a PhD course on Argument Mining -- the process of automatically identifying and classifying arguments -- we present the essence of what we have learned. This seminar will provide an overview of the most common ways to approach this task, through annotation, finding claims, support and attack, and establishing the argument structure. No prior knowledge will be necessary to enjoy our talk.
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diff --git a/news/Seminar by Asad Sayeed and Xudong Hong/index.html b/news/Seminar by Asad Sayeed and Xudong Hong/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences
Presented by: Asad Sayeed from University of Gothenburg and Xudong Hong from Saarland University
Date: May 26, 2023
Abstract:
+Current work on image-based story generation suffers from the fact that the existing image sequence collections do not have coherent plots behind them. We improve visual story generation by producing a new image-grounded dataset, Visual Writing Prompts (VWP). VWP contains almost 2K selected sequences of movie shots, each including 5-10 images. The image sequences are aligned with a total of 12K stories which were collected via crowdsourcing given the image sequences and a set of grounded characters from the corresponding image sequence. Our new image sequence collection and filtering process has allowed us to obtain stories that are more coherent and more diverse compared to previous work. We also propose a character-based story generation model driven by coherence as a strong baseline. Evaluations show that our generated stories are more coherent, visually grounded, and more diverse than stories generated with the current state-of-the-art model. Our code, image features, annotations and collected stories are available at https://vwprompt.github.io/.
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diff --git a/news/Seminar by Casey Kennington/index.html b/news/Seminar by Casey Kennington/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
How Should Models of Language Meaning Learn?
Presented by: Casey Kennington from Boise State University
Date: October 28, 2022
Abstract: Distributional, grounded, and formal computational theories of how language is acquired, represented, and used are, it turns out, quite useful in many ways. Many aspects of language can be learned from just looking at a lot of text in a certain way, as evidenced by language models. Vision and language can come together to add world knowledge through grounded learning. Formal logics are useful for many things including inference. Are we at the point where computational models really "understand" natural language, and, if not, is more data and bigger models all we need? In my talk, I make an appeal to what is known about how human children learn language and how the progression of language learning matters for holistic language understanding.
+
Bio: Casey Kennington is an Associate Professor in the Department of Computer Science at Boise State University, U.S.A. He earned his PhD at Bielefeld University, and masters degrees at Saarland University and Nancy 2 University. His research is in the field of spoken dialogue systems, primarily on robotic platforms.
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diff --git a/news/Seminar by Christian Hardmeier/index.html b/news/Seminar by Christian Hardmeier/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Understanding and Modelling Pronouns in Translation: Resources, Methods, Challenges and Insights
Presented by: Christian Hardmeier from IT University of Copenhagen
Date: April 14, 2023
Abstract: The difficulty of pronoun translation is typically illustrated with examples of
+anaphoric pronouns requiring gender agreement in the target language. However,
+pronoun translation is more complex than that. In this talk, I present our
+efforts to understand and model the generation and interpretation of pronouns in
+translation. A core resource is the ParCorFull corpus, a multilingual parallel
+dataset with a rich annotation of coreferential phenomena going beyond simple
+anaphoric references. ParCorFull has found a range of applications to the
+cross-lingual study of texts, to machine translation evaluation, leading to
+insights into translation processes, but also uncovering challenges due to how
+corpus annotation resolves ambiguity, potentially creating conflicts in a
+parallel data. Additional insights can be gained from studies of pronoun
+generation and interpretation we've conducted with human participants,
+highlighting the variance of typical patterns across five European languages. I
+also present our work on modelling pronoun translation in the context of
+cross-lingual coreference resolution and neural machine translation with the
+help of cross-lingual mention attention, resulting in consistent, but rather
+modest performance gains. If time permits, I may also talk a bit about our
+more recent work on evidential deep learning for uncertainty estimation.
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diff --git a/news/Seminar by Christopher Potts/index.html b/news/Seminar by Christopher Potts/index.html
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The Centre for Linguistic Theory and Studies in Probability
Causal abstraction for faithful, human-interpretable model explanations
Presented by: Christopher Potts from Stanford University
Date: October 11, 2023
Abstract: Explaining why a modern AI model makes the predictions it does has emerged as one of the most important questions in AI. In this era of ever-widening impact, the field has rightly turned its attention to questions of trust, safety, reliability, and bias mitigation for the models we deploy, and seriously addressing these questions will require us to understand whether and how these models represent and use human-interpretable concepts. In this talk, I'll report on our recent efforts to achieve these explanations using a family of techniques called causal abstraction. In causal abstraction analysis, one assesses the extent to which an interpretable high-level model (say, a computer program) is a faithful proxy for a lower-level model (say, a neural network). Such analyses have already revealed a great deal about how models solve complex tasks. In particular, we are seeing that the best present-day large language models often induce interpretable, quasi-symbolic solutions that enable them to do well on hard, out-of-domain generalization tasks. This is encouraging, but it should be said that we are far from having the comprehensive understanding we need to offer even tightly circumscribed guarantees of safety and trust.
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diff --git a/news/Seminar by Claire Gardent/index.html b/news/Seminar by Claire Gardent/index.html
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The Centre for Linguistic Theory and Studies in Probability
Simplifying Documents
Presented by: Claire Gardent from LORIA, CNRS and Université de Lorraine
Date: October 25, 2023
Abstract:
+To date, most work on simplification has focused on sentences. Early attempts at document simplification merely applied these approaches iteratively over the sentences of a document. However, this fails to coherently preserve the discourse structure, leading to suboptimal output quality. In this talk, I will highlight the challenges involved in simplifying documents and argue that both the context and the internal structure of the sentences to be simplified need to be modelled. We will explore various models which exploit document context within the simplification process itself, either by iterating over larger text units or by extending the system architecture to attend over a high-level representation of document context. I will further discuss the performance and efficiency tradeoffs of these system variants making suggestions of when each should be preferred.
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diff --git a/news/Seminar by Djame Seddah/index.html b/news/Seminar by Djame Seddah/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
CamemBERT must die! (jk,lol) or "Beyond Sesame street-based naming schemes: Camembert vs CharacterBert, a study on the performance robustness of large monolingual language models and their character-based counterparts".
Presented by: Djamé Seddah from Université Paris-Sorbonne (Paris 4)
Date: January 27, 2023
Abstract: As cliché as it sounds, pretrained language models are now ubiquitous in Natural Language Processing, the most prominent ones being arguably Bert (Delvin et al, 2018). Many works have shown that Bert-based models are able to capture meaningful syntactic information using nothing else than raw data for training (eg. Jawahar et al, 2019) and this ability is probably one of the reasons of its success.
+
Anyway, until November 2019 and the release of CamemBERT, most available models were trained on English data or on the concatenation of data in multiple languages. In this talk, I’ll present the results of a work that investigates the feasibility of training monolingual Transformer-based language models for other languages, taking French as an example and evaluating our language models on part-of-speech tagging, dependency parsing, named entity recognition and natural language inference tasks. We show that the use of web crawled data is preferable to the use of Wikipedia data. Our best performing model established the state of the art in all four downstream tasks. More surprisingly, we show that a relatively small web crawled dataset (a few gigabytes) leads to results that are as good as those obtained using two magnitudes larger datasets.
+
Important questions still remain though: What to do in case of dialects with high variabilities in scarce resource scenarios? I’ll present a first round of results using a CharacterBERT model trained on very little data and evaluated on noisy French user-generated content and dialectal north-African Arabic written in Latin script (Arabizi), as commonly found in social media. Our experiments show that those models exhibit strong performance when facing noisy-content but so do “classical” Bert-based models trained on literally 100x more data. This questions the usefulness of those characterBert models in relatively resource-rich scenarios, even when facing very noisy text.
+
Presented by Djamé Seddah, joint work with Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, Yoann Dupont, Laurent Romary, Éric Villemonte de la Clergerie, and Benoît Sagot for the CamemBert part. With Arij Riabi for the CharacterBert experiments and Ganesh Jawahar for the Bertology parts.
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diff --git a/news/Seminar by Emil Carlsson/index.html b/news/Seminar by Emil Carlsson/index.html
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The Centre for Linguistic Theory and Studies in Probability
Pragmatic Reasoning in Structured Signaling Games
Presented by: Emil Carlsson and Devdatt Dubhashi from Chalmers University
Date: June 08, 2022
Abstract:
+
In this work we introduce a structured signaling game, an extension of the classical signaling game with a similarity structure between meanings in the context, along with a variant of the Rational Speech Act (RSA) framework which we call structured-RSA (sRSA) for pragmatic reasoning in structured domains. We explore the behavior of the sRSA in the domain of color and show that pragmatic agents using sRSA on top of semantic representations, derived from the World Color Survey, attain efficiency very close to the information theoretic limit after only 1 or 2 levels of recursion. We also explore the interaction between pragmatic reasoning and learning in multi-agent reinforcement learning framework. Our results illustrate that artificial agents using sRSA develop communication closer to the information theoretic frontier compared to agents using RSA and just reinforcement learning. We also find that the ambiguity of the semantic representation increases as the pragmatic agents are allowed to perform deeper reasoning about each other during learning.
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diff --git a/news/Seminar by G.J. (Gijs) Wijnholds/index.html b/news/Seminar by G.J. (Gijs) Wijnholds/index.html
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The Centre for Linguistic Theory and Studies in Probability
Discontinuous Constituency and BERT: Case Studies of Dutch
Presented by: G.J. (Gijs) Wijnholds from University of Utrecht
Date: February 17, 2023
Abstract: Large-scale language models like GPT-3 and BERT are considered stochastic parrots: they make reference to form but not to meaning. Yet, such models allow for high-performing fine-tuned models in NLP, begging the question of the how much linguistic information we can extract from them. In this talk, I discuss recent case studies in which we set out to quantify the syntactic capacity of BERT in the evaluation regime of non-context free patterns, as occurring in Dutch. We devised test suites based on a mildly context-sensitive formalism, from which we derive grammars that capture the linguistic phenomena of control verb nesting and verb raising, and other verb cluster formations. The grammars, paired with a small lexicon, provide us with a large collection of naturalistic utterances annotated with verb-subject pairings, that serve as the evaluation test bed for an attention-based span selection probe. Our results, backed by extensive analysis, suggest that the models investigated fail in the implicit acquisition of the dependencies examined. If time permits, we compare the two different strategies for generating test cases, and look into future extensions of this work.
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diff --git a/news/Seminar by Guy Edward Toh Emerson/index.html b/news/Seminar by Guy Edward Toh Emerson/index.html
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The Centre for Linguistic Theory and Studies in Probability
Presented by: Guy Edward Toh Emerson from University of Cambridge
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diff --git a/news/Seminar by Hannah Rohde/index.html b/news/Seminar by Hannah Rohde/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Informativity in cooperative communication
Presented by: Hannah Rohde from University of Edinburgh
Date: June 02, 2023
Abstract: In studying meaning in communication, a question arises as to which meanings are favored by interlocutors. While a range of candidate meanings may be possible and even plausible, how do speakers select which meanings to communicate and how do listeners make guesses as to the most probable meaning when trying to recover what a speaker intends or when anticipating what a speaker will say next?
+
In this talk, I compare two hypotheses for ranking candidate meanings that a speaker might contribute to a discourse. Under one account, listeners' guesses simply reflect the probability that different meanings hold true: Speakers are taken to generate sentences that describe the world they see and listeners come to expect sentences about the typical situations speakers find themselves in. A second account combines this component with a component capturing the likelihood that a speaker, knowing some meaning to be true, would select that meaning as one worth conveying to a listener in an utterance. I present a series of psycholinguistic studies measuring listeners' awareness of speakers' production likelihoods. For example, although bananas are prototypically yellow, speakers rarely mention this yellowness in their utterances. In an eye-tracking study measuring anticipatory looking, listeners who hear a speaker use an ambiguous color adjective are found to anticipate subsequent mention of an object for which that color is less typical in the real world. Similarly, in a study on comprehenders' guesses of what a speaker will say next, participants are shown to disprefer upcoming material that describes situation-typical outcomes. Further studies target properties of the speaker and show that the more aware comprehenders are of the speaker as an intentional knowledgeable communicator, the more informative they expect the speaker's contribution to be and the more inferences they draw from the speaker's content selection. This work raises questions about the ways in which learners (humans, machines) acquire information about the world if their linguistic input favors the description of real-world-atypical content.
+
The findings highlight the importance of establishing not only which meanings are possible and how they are derived, but also which meanings are probable as likely contributions to coherent discourse, despite -- or perhaps as a result of -- denoting non-typical situations.
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diff --git a/news/Seminar by Jean-Philippe Bernardy/index.html b/news/Seminar by Jean-Philippe Bernardy/index.html
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The Centre for Linguistic Theory and Studies in Probability
The Informative Speech Act: Linguistic Disambiguation on the basis of Epistemic Probability of Interpretations
Presented by: Jean-Philippe Bernardy from University of Gothenburg
Date: January 20, 2023
Abstract: In a series of influential papers, Lassiter and Goodman have proposed to use a variant of the rational speech act model to account for semantic learning of linguistic parameters of lexical items. In this talk, I propose a reformulation of the Lassiter-Goodman model in information-theoretic terms. This reformulation sets the stage not only for a critique of the model, but shows that semantic learning can be given a direct epistemic account for linguistic disambiguation, doing away with RSA. I will conclude the talk with a comparison of the two models.
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diff --git a/news/Seminar by Joakim Nivre/index.html b/news/Seminar by Joakim Nivre/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Nucleus Composition in Transition-Based Dependency Parsing
Presented by: Joakim Nivre from Uppsala University and RISE Research Institutes of Sweden
Date: November 18, 2022
Abstract: Dependency-based approaches to syntactic analysis assume that syntactic structure can be analyzed in terms of binary asymmetric dependency relations holding between elementary syntactic units. Computational models for dependency parsing almost universally assume that an elementary syntactic unit is a word, while the influential theory of Lucien Tesnière instead posits a more abstract notion of nucleus, which may be realized as one or more words. In this article, we investigate the effect of enriching computational parsing models with a concept of nucleus inspired by Tesnière. We begin by reviewing how the concept of nucleus can be defined in the framework of Universal Dependencies, which has become the de facto standard for training and evaluating supervised dependency parsers, and explaining how composition functions can be used to make neural transition-based dependency parsers aware of the nuclei thus defined. We then perform an extensive experimental study, using data from 20 languages to assess the impact of nucleus composition across languages with different typological characteristics, and employing a variety of analytical tools including ablation, linear mixed-effects models, diagnostic classifiers and dimensionality reduction. The analysis reveals that nucleus composition gives small but consistent improvements in parsing accuracy for most languages, and that the improvement mainly concerns the analysis of main predicates, nominal dependents, clausal dependents and coordination structures. Significant factors explaining the rate of improvement across languages include entropy in coordination structures and frequency of certain function words, in particular determiners. Analysis using dimensionality reduction and diagnostic classifiers suggests that nucleus composition increases the similarity of vectors representing nuclei of the same syntactic type.
+
Joint work with Ali Basirat, Luise Dürlich and Adam Moss.
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diff --git a/news/Seminar by Katrin Erk/index.html b/news/Seminar by Katrin Erk/index.html
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The Centre for Linguistic Theory and Studies in Probability
Scaling up a joint model of word meaning and sentence meaning: Situation Description Systems and the Visual Genome
Presented by: Katrin Erk from University of Texas at Austin
Date: May 12, 2023
Abstract: How can a fine-grained representation of word meaning be integrated with a formal representation of sentence meaning? More specifically, how can such a representation address uncertainty and gradience? There are a number of approaches that address this question, including McNally (2015). Emerson (2016,2018,2020), Bernardy et al (2018, 2019), Sadrzadeh and Muskens (2018). Erk and Herbelot (2023). In this talk, we build on our own recent approach, Situation Description Systems (Erk and Herbelot 2023). Situation Description Systems describe meaning as both intensional and conceptual; the conceptual representation is a probabilistic graphical model representing dependencies between the underlying concepts of words in the sentence. So far, the approach was only toy-size, and could not be applied at scale. In this talk, we present a scaled-up variant of Situation Description Systems that uses a sizable lexicon derived from the Visual Genome database of annotated images. Concepts are represented by embeddings computed from labels in the image annotations.
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diff --git a/news/Seminar by Marcel Bollmann/index.html b/news/Seminar by Marcel Bollmann/index.html
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The Centre for Linguistic Theory and Studies in Probability
NLP beyond English: Do we need to think more about linguistics?
Presented by: Marcel Bollmann from Linköping University
Date: May 05, 2023
Abstract: From analysis of 16th-century text collections to machine translation for Creole languages: there are a lot of challenging application scenarios for NLP outside the “mainstream” English-language tasks. Yet many new NLP technologies are developed first and foremost for English, with “multilinguality” being achieved as a by-product of throwing more data at a model. Will this be the way forward? Are there still benefits in thinking about how we represent language for deep learning models, such as subword tokenization or incorporating linguistic structure?
+
In this talk, I will probably have more questions than answers, but will provide some perspectives from my own work on these topics — from failed attempts at building machine translation models for indigenous American languages to investigations of morphology and subword tokenization — with the overarching themes of: How good are we already at NLP beyond English? Is there value in thinking more about linguistics when building NLP models?
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The Centre for Linguistic Theory and Studies in Probability
Probing and Explaining Neural Language Models
Presented by: Marco Kuhlmann from University of Linköping
Date: December 02, 2022
Abstract: The impressive performance of neural language models such as GPT-3, PaLM and FLAN raises the question of to what extent these models have ‘learned’ language and how to reason with it. This talk will summarise recent work addressing this question along two lines of research: probing and explaining. Probing neural language models aims at finding evidence of learned linguistic structure by empirically testing hypotheses about the learned representations on diagnostic tasks. While this approach has generated interesting insights, we have shown that it comes with several methodological issues, including uncertainty about the suitability and validity of performance measures and the lack of suitable baselines [1–3]. Recent work has studied architectures augmented with the capability to generate free-text rationales that explain model output to investigate the reasoning capabilities of neural language models on tasks such as natural language inference and commonsense question answering. We have compared explanations by a generation-only model to those generated by a self-rationalizing model and found that, while the former score higher in terms of validity, factual correctness, and similarity to gold explanations, they are not more useful for downstream classification [4]. Our work raises important questions about the limitations of current methods for analysing neural language models and points to avenues for future work.
+
[1] Jenny Kunz and Marco Kuhlmann. Classifier Probes May Just Learn from Linear Context Features. COLING 2020
+[2] Jenny Kunz and Marco Kuhlmann. Test Harder Than You Train: Probing with Extrapolation Splits. BlackboxNLP 2021
+[3] Jenny Kunz and Marco Kuhlmann. Where Does Linguistic Information Emerge in Neural Language Models? Measuring Gains and Contributions Across Layers. COLING 2022
+[4] Jenny Kunz, Martin Jirénius, Oskar Holmström, and Marco Kuhlmann. Human Ratings Do Not Reflect Downstream Utility: A Study of Free-Text Explanations for Model Predictions. Accepted to BlackboxNLP 2022
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diff --git a/news/Seminar by Morten H. Christiansen/index.html b/news/Seminar by Morten H. Christiansen/index.html
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The Centre for Linguistic Theory and Studies in Probability
Presented by: Morten H. Christiansen from Cornell University
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diff --git a/news/Seminar by Nina Tahmasebi and the Change is Key! team/index.html b/news/Seminar by Nina Tahmasebi and the Change is Key! team/index.html
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The Centre for Linguistic Theory and Studies in Probability
Ongoing research in the Change is Key! program
Presented by: Nina Tahmasebi and the Change is Key! team from University of Gothenburg
Date: November 01, 2023
Nina Tahmasebi and the Change is Key! team will introduce the Change is Key! program and some of our ongoing research. We will present the humanities and social science research questions that we will answer with the help of computational models of meaning and meaning change. In addition we will present ongoing work on word sense induction and modeling, semantic change across multiple time periods, and our work on large language models and their fit to historical data.
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diff --git a/news/Seminar by Noortje J. Venhuizen/index.html b/news/Seminar by Noortje J. Venhuizen/index.html
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The Centre for Linguistic Theory and Studies in Probability
Presented by: Noortje J. Venhuizen from Tilburg University
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diff --git a/news/Seminar by Rolando Coto Solano/index.html b/news/Seminar by Rolando Coto Solano/index.html
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The Centre for Linguistic Theory and Studies in Probability
Artificial Intelligence to Accelerate Language Documentation
Presented by: Rolando Coto Solano from Dartmouth College
Date: March 21, 2023
Abstract: Artificial intelligence techniques are available for large languages such as English, but they can help us dramatically accelerate our documention work even in languages with very few resources. In this talk we will focus on breaking the transcription bottleneck by discussing how speech recognition can facilitate the task of transcription. We will also look at techniques such as automated parsing and machine translation which can be helpful when compiling corpora. We will also look at the impact that technologies can have in language revitalization, and how even simple tools like predictive keyboards can help in this work. The talk will focus on examples from the languages Bribri from Costa Rica and Cook Islands Māori from Polynesia.
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The Centre for Linguistic Theory and Studies in Probability
Deep learning and severely under-resourced languages: How much can the model actually learn?
Presented by: Rolando Coto Solano from Dartmouth College
Date: March 23, 2023
Abstract: How do deep learning models behave when faced with truly low-resource languages? We will attempt to define what a "low-resource" language is, and we will look at examples of learning techniques such as cross-lingual approaches that do help in the learning of dramatically small datasets. By exploring speech recognition, parsing and machine translation, we will look at algorithms that work and algorithms that break under such conditions. We will also discuss the many differences in the nature of low-resource data, and how people go looking for data in the wrong places. Finally, we will discuss techniques such as attention vector analysis that can help us probe into what models can be learning in such data-limited scenarios. We will provide examples from the languages Bribri from Costa Rica and Cook Islands Māori from Polynesia.
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diff --git a/news/Seminar by Sebastian Schuster/index.html b/news/Seminar by Sebastian Schuster/index.html
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The Centre for Linguistic Theory and Studies in Probability
Entity tracking in pre-trained language models
Presented by: Sebastian Schuster from Saarland University
Date: November 04, 2022
Abstract:
+Understanding longer narratives or participating in conversations requires tracking of entities that have been mentioned and tracking how their properties change over the course of a discourse. In my talk, I will present two studies which assess the ability of large-scale pre-trained language models such as GPT-2/3 or T5 to track discourse entities.
+
I first consider the interactions between indefinite noun phrases and sentential operators and embedding verbs. For example, while 'a dog' in 'Arthur owns a dog' introduces an entity of a discourse, the sentence 'Arthur doesn't own a dog' does not due to the presence of negation. I adapt the psycholinguistic assessment of language models paradigm to higher-level linguistic phenomena and introduce an English evaluation suite that targets the knowledge of the interactions between sentential operators and indefinite NPs. I use this evaluation suite for a fine-grained investigation of the entity tracking abilities of the Transformer-based models GPT-2 and GPT-3.
+
In the second part of my talk, I'll focus on the extent to which the Transformer-based model T5 tracks updates to different entities as a discourse unfolds. I'll present a series of behavioral experiments that probe whether the model can systematically parse an initial state description and then track changes made to entities in subsequent sentences.
+
I'll conclude with a brief discussion of the implications for the learnability of meaning from large corpora, and ideas for how to improve entity tracking abilities in language models.
+
Bio:
+Sebastian Schuster is currently a Postdoctoral Researcher at Saarland University as part of Vera Demberg’s group. His research focuses on developing and evaluating models of pragmatic language understanding. He was previously a Postdoctoral Fellow at the Center of Data Science and the Department of Linguistics at NYU, and he holds an MS degree in Computer Science and a PhD in Linguistics from Stanford University, and a BS in Computer Science from the University of Vienna.
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diff --git "a/news/Seminar by Sina Zarrie\303\237 /index.html" "b/news/Seminar by Sina Zarrie\303\237 /index.html"
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The Centre for Linguistic Theory and Studies in Probability
Linguistic Creativity and Computational Modeling of Language
Presented by: Sina Zarrieß from University of Bielefeld
Date: February 10, 2023
Abstract: Many areas and theories in linguistics are concerned with regularities and conventions in language and interaction, essentially focussing on modeling language as a system. Yet, actual language data is often full of deviations from these regularities. When using language as a tool for interaction, speakers seem to have the ability to go beyond the conventions of the community they belong to and still be communicatively successful. In this talk, I will report on some recent attempts in linguistics (also in Bielefeld) to integrate creative aspects of language use with traditional approaches to language and to put linguistic creativity at the forefront of linguistic research. I will discuss how these ideas may relate to computational approaches in language and dialogue modeling and why they may constitute an interesting challenge for today's heavily data-driven frameworks. Last but not least, I will present recent and ongoing experiments on language generation and modeling that could be used to study linguistic creativity in computational settings.
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diff --git a/news/Seminar by Staffan Larsson/index.html b/news/Seminar by Staffan Larsson/index.html
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The Centre for Linguistic Theory and Studies in Probability
TTR at the SPA: Relating type-theoretical semantics to neural semantic pointers
Presented by: Staffan Larsson from University of Gothenburg
Date: November 15, 2023
Abstract:
+The goal of the work presented here is to provide a hybrid of formal and neural semantics for natural language. To this end, we consider how the kind of formal semantic objects used in TTR (a theory of types with records, Cooper, 2023) might be related to the vector representations used in Eliasmith (2013). An advantage of doing this is that it would immediately give us a neural representation for TTR objects as Eliasmith relates vectors to neural activity in his semantic pointer architecture (SPA). This would be an alternative using convolution to the suggestions made by Cooper (2019a) based on the phasing of neural activity. The project seems potentially hopeful since all complex TTR objects are constructed from labelled sets (essentially sets of ordered pairs consisting of labels and values) which might be seen as corresponding to the representation of structured objects which Eliasmith achieves using superposition and circular convolution.
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diff --git a/news/Seminar by Stephen Clark/index.html b/news/Seminar by Stephen Clark/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Hybrid Recurrent Architectures for Quantum-Classical NLP
Presented by: Stephen Clark, Head of ArtificiaI Intelligence, Quantinuum
Date: September 06, 2023
Abstract: In this talk I will describe various recurrent architectures based around Parameterised Quantum Circuits (PQCs). A PQC is applied at each time step to produce a quantum state, and each application of the PQC is determined by an angle encoding of the corresponding word (via its classical word embedding). The quantum state can then be measured in order to produce a classical output. All the parameters of the hybrid model can be learned end-to-end using classical optimisers applied to some NLP task, in this case a standard sentiment analysis dataset. The models are trained and tested in simulation, with the potential to be run on real quantum hardware. Our experiments demonstrate encouraging performance compared to a classical RNN baseline.
+
Bio:
+Prior to joining Quantinuum as Head of AI, Stephen Clark spent 18 years working at UK universities, first as a postdoctoral researcher at the University of Edinburgh, then as a member of Faculty at the Universities of Oxford and Cambridge, including 4 years as a Tutorial Fellow at Keble College, Oxford. He has also been an Honorary Professor at Queen Mary University of London. From 2016 to 2021 he was a Senior Research Scientist at DeepMind in London. Stephen Clark holds an undergraduate degree in Philosophy from the University of Cambridge (Gonville and Caius College) and a PhD in Computer Science and Artificial Intelligence from the University of Sussex. Much of his research has been concerned with the syntactic and semantic analysis of text, which he currently investigates in the context of quantum computing.
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diff --git a/news/Seminar by Tatjana Scheffler/index.html b/news/Seminar by Tatjana Scheffler/index.html
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The Centre for Linguistic Theory and Studies in Probability
Computational Linguistic Approaches to Digital Conversations: the Case of Intensifiers
Presented by: Tatjana Scheffler from Ruhr-University Bochum
Date: March 17, 2023
Abstract: Intensifiers (really, so, very) are a frequent phenomenon typical of informal speech. In sociolinguistic studies, they have been shown to be highly variable and undergo constant innovation. They are also a common occurrence in casual conversations online. In this talk, I present recent research targeting medium specific, register specific, and individual variation in the use of intensifiers in German as a case study. I use a large Twitter data set as well as a new corpus of blog posts and tweets from the same authors to investigate the role of semantic differences between intensifiers, as well as the medium, register, and individual author properties to model intensifier choice. I argue that intensifiers share a core meaning component, but differ mainly in 'expressivity', a non at issue contribution that (roughly) indicates the level of emotional involvement of the author. I use information theoretic measures (surprisal) to model this expressive component. Based on this model, I test the predictions of the Uniform Information Density hypothesis to explain the existence of 'stacks' of more than one intensifier in the same phrase as well as their order. Finally, I present results on the automatic detection of intensifiers in text using ML classifiers, opening up a potential avenue to study linguistic creativity with computational means.
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diff --git a/news/Seminar by Valerio Basile/index.html b/news/Seminar by Valerio Basile/index.html
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The Centre for Linguistic Theory and Studies in Probability
Presented by: Valerio Basile from University of Turin
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The Centre for Linguistic Theory and Studies in Probability
2023
Research Seminar
On: October 25, 2023
Presented by: Claire Gardent from LORIA, CNRS and Université de Lorraine
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In this…"}},{"seminar":{"fields":{"slug":"/events/seminars/2023-09-27/"},"frontmatter":{"title":"Counterfactual reasoning capabilities of GPT: Preliminary findings","date":"27 Sep, 2023","time":"00:00","lecturer":"Alexander Berman from University of Gothenburg","venue":"Gothenburg and online","duration":"2 hours","slides":{"publicURL":"/static/9f0ccce5084030e82d670dcd39664216/Alexander Berman 27.9.2023.pdf"}},"excerpt":"Abstract\nRecently, there has been a large interest in large language models (LLMs) such as GPT and their ability to engage in human-like…"}},{"seminar":{"fields":{"slug":"/events/seminars/2023-09-06/"},"frontmatter":{"title":"Hybrid Recurrent Architectures for Quantum-Classical NLP","date":"06 Sep, 2023","time":"00:00","lecturer":"Stephen Clark, Head of ArtificiaI Intelligence, Quantinuum","venue":"Gothenburg and online","duration":"2 hours","slides":{"publicURL":"/static/6b776cd2b04d1e6cc07d7c24bc1369c2/Stephen Clark 6.9.2023.pdf"}},"excerpt":"Abstract\nIn this talk I will describe various recurrent architectures based around Parameterised Quantum Circuits (PQCs). 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More…"}},{"seminar":{"fields":{"slug":"/events/seminars/2023-05-05/"},"frontmatter":{"title":"NLP beyond English: Do we need to think more about linguistics?","date":"05 May, 2023","time":"00:00","lecturer":"Marcel Bollmann from Linköping University","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/e6b615d96a3fc1f5de410349a4a93c67/Marcel Bollmann 5.5.2023.pdf"}},"excerpt":"Abstract\nFrom analysis of 16th-century text collections to machine translation for Creole languages: there are a lot of challenging…"}},{"seminar":{"fields":{"slug":"/events/seminars/2023-04-14/"},"frontmatter":{"title":"Understanding and Modelling Pronouns in Translation: Resources, Methods, Challenges and Insights","date":"14 Apr, 2023","time":"00:00","lecturer":"Christian Hardmeier from IT University of Copenhagen","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/527d058e013733b62cdad350cd2ef104/Christian Hardmeier 14.4.2023.pdf"}},"excerpt":"Abstract\nThe difficulty of pronoun translation is typically illustrated with examples of anaphoric pronouns requiring gender agreement in…"}},{"seminar":{"fields":{"slug":"/events/seminars/2023-03-23/"},"frontmatter":{"title":"Deep learning and severely under-resourced languages: How much can the model actually learn?","date":"23 Mar, 2023","time":"00:00","lecturer":"Rolando Coto Solano from Dartmouth College","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/b19f4eee32dcd496b2bb58a94d07f2b7/Rolando Coto Solano 23.3.2023.pdf"}},"excerpt":"Abstract\nHow do deep learning models behave when faced with truly low-resource languages? 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(Gijs) Wijnholds 17.2.2023.pdf"}},"excerpt":"Abstract Large-scale language models like GPT-3 and BERT are considered stochastic parrots: they make reference to form but not to meaning…"}},{"seminar":{"fields":{"slug":"/events/seminars/2023-02-10/"},"frontmatter":{"title":"Linguistic Creativity and Computational Modeling of Language","date":"10 Feb, 2023","time":"00:00","lecturer":"Sina Zarrieß from University of Bielefeld","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/eb6f67a244c5c994b84555b08708bc28/Sina Zarrieß 10.2.2023.pdf"}},"excerpt":"Abstract Many areas and theories in linguistics are concerned with regularities and conventions in language and interaction, essentially…"}},{"seminar":{"fields":{"slug":"/events/seminars/2023-01-27/"},"frontmatter":{"title":"CamemBERT must die! (jk,lol) or \"Beyond Sesame street-based naming schemes: Camembert vs CharacterBert, a study on the performance robustness of large monolingual language models and their character-based counterparts\".","date":"27 Jan, 2023","time":"00:00","lecturer":"Djamé Seddah from Université Paris-Sorbonne (Paris 4)","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/0a7c06562ab2d0ce6ba7eb67d3948911/Djamé Seddah 27.1.2023.pdf"}},"excerpt":"Abstract As cliché as it sounds, pretrained language models are now ubiquitous in Natural Language Processing, the most prominent ones being…"}},{"seminar":{"fields":{"slug":"/events/seminars/2023-01-20/"},"frontmatter":{"title":"The Informative Speech Act: Linguistic Disambiguation on the basis of Epistemic Probability of Interpretations","date":"20 Jan, 2023","time":"00:00","lecturer":"Jean-Philippe Bernardy from University of Gothenburg","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/b1941af260665dd291849c8feae00e33/Jean-Philippe Bernardy 20.1.2023.pdf"}},"excerpt":"Abstract In a series of influential papers, Lassiter and Goodman have proposed to use a variant of the rational speech act model to account…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-12-02/"},"frontmatter":{"title":"Probing and Explaining Neural Language Models","date":"02 Dec, 2022","time":"00:00","lecturer":"Marco Kuhlmann from University of Linköping","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/4967aae05633c2bffdc69383daade4be/Marco Kuhlmann 2.12.2022.pdf"}},"excerpt":"Abstract The impressive performance of neural language models such as GPT-3, PaLM and FLAN raises the question of to what extent these…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-11-25/"},"frontmatter":{"title":"Dendrophilia squared","date":"25 Nov, 2022","time":"00:00","lecturer":"Alexander Clark from University of Gothenburg","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/bf462e7a7d2e5249e8eea950c3245b1f/Alexander Clark 25.11.2022.pdf"}},"excerpt":"Abstract Fitch (2014) suggests that at the heart of syntactic cognition is 'dendrophilia': \"a propensity by our species to infer tree…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-11-18/"},"frontmatter":{"title":"Nucleus Composition in Transition-Based Dependency Parsing","date":"18 Nov, 2022","time":"00:00","lecturer":"Joakim Nivre from Uppsala University and RISE Research Institutes of Sweden","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/5b5e020da4828f4cff94be036332c68f/Joakim Nivre 18.11.2022.pdf"}},"excerpt":"Abstract Dependency-based approaches to syntactic analysis assume that syntactic structure can be analyzed in terms of binary asymmetric…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-11-04/"},"frontmatter":{"title":"Entity tracking in pre-trained language models","date":"04 Nov, 2022","time":"00:00","lecturer":"Sebastian Schuster from Saarland University","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/539efaf9aea3905dfe2821728b9b7156/Sebastian Schuster 4.11.2022.pdf"}},"excerpt":"Abstract Understanding longer narratives or participating in conversations requires tracking of entities that have been mentioned and…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-10-28/"},"frontmatter":{"title":"How Should Models of Language Meaning Learn?","date":"28 Oct, 2022","time":"00:00","lecturer":"Casey Kennington from Boise State University","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/4a3dcac66f8d8d5c70183e37ea51a24d/Casey Kennington 28.10.2022.pdf"}},"excerpt":"Abstract Distributional, grounded, and formal computational theories of how language is acquired, represented, and used are, it turns out…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-10-21/"},"frontmatter":{"title":"A gentle introduction to argument mining","date":"21 Oct, 2022","time":"00:00","lecturer":"Anna Lindahl, Arianna Masciolini, Ricardo Muñoz Sánchez and Stian Rødven-Eide from University of Gothenburg","venue":"Gothenburg and Online","duration":"2 hours","slides":null},"excerpt":"Abstract Following a PhD course on Argument Mining -- the process of automatically identifying and classifying arguments -- we present the…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-06-15/"},"frontmatter":{"title":"Conversational AI between hype and hope – A case for data- and human-centric approaches","date":"15 Jun, 2022","time":"00:00","lecturer":"Alessandra Zarcone from University of Applied Sciences, Augsburg","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/0d5a2ca45c0a4692eb48e0ee0c97bc6b/Alessandra Zarcone 15.6.2022.pdf"}},"excerpt":"Abstract The recent advancements in language modeling and conversational AI have been accompanied by the promise of a dramatic impact on the…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-06-08/"},"frontmatter":{"title":"Pragmatic Reasoning in Structured Signaling Games","date":"08 Jun, 2022","time":"00:00","lecturer":"Emil Carlsson and Devdatt Dubhashi from Chalmers University","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/138039b7b4014cfd8a97f13556b46fd7/Emil Carlsson Devdatt Dubhashi 8.6.2022.pdf"}},"excerpt":"Abstract In this work we introduce a structured signaling game, an extension of the classical signaling game with a similarity structure…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-06-01/"},"frontmatter":{"title":"Dogwhistles: Masking, Vigilance, and Unmasking","date":"01 Jun, 2022","time":"00:00","lecturer":"Elin McCready from Aoyama Gakuin University","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/ad4f2030e6c5186b77db19909d3e6eef/Elin McCready 1.6.2022.pdf"}},"excerpt":"Abstract Dogwhistles are coded signals used todisguise one's social persona from some listeners while revealing it to others,usually those…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-05-18/"},"frontmatter":{"title":"Biomedical speech signal processing: concepts, algorithms, and contemporary challenges","date":"18 May, 2022","time":"00:00","lecturer":"Athanasios Tsanas from University of Edinburgh","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/187c23c5d8c3c45e9e6e88ab21200541/Athanasios Tsanas 18.5.2022.pdf"}},"excerpt":"Abstract Speech signal analysis finds application in diverse settings, and biomedical speech signal analysis has been gaining increasing…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-05-11/"},"frontmatter":{"title":"Is more better? Is better always better? Where’s the learning?\nThe baffling case of computational thematic fit","date":"11 May, 2022","time":"00:00","lecturer":"Yuval Marton from University of Washington","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/15687f11fdb6e2fb403409fc218ee1b1/Yuval Marton 11.5.2022.pdf"}},"excerpt":"Abstract: Modeling thematic fit (a verb–argument compositional semantics task) currently requires a very large burden of labeled data, and…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-05-04/"},"frontmatter":{"title":"Grounded Language Learning through Interaction","date":"04 May, 2022","time":"00:00","lecturer":"Bill Noble and Nikolai Ilinykh from University of Gothenburg","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/1d462e222a9b3f17333e160c6356e332/Bill Noble Nikolai Ilinykh 4.5.2022.pdf"}},"excerpt":"Abstract: “One proposal for perceptually grounded representations of meaning is to identify perceptual meaning with perceptual…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-04-20/"},"frontmatter":{"title":"Dependency Parsing and Information Extraction in Low-Resource Scenarios","date":"20 Apr, 2022","time":"00:00","lecturer":"Barbara Plank from IT University of Copenhagen","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/279d2c52cce0e8654c50778c2b81433b/Barbara Plank 20.4.2022.pdf"}},"excerpt":"Abstract: “The recent success of Natural Language Processing is driven by advances in modelling paired with strong language model encoders…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-04-06/"},"frontmatter":{"title":"On Evaluating Neural Representations","date":"06 Apr, 2022","time":"00:00","lecturer":"Aida Nematzadeh from Deep Mind","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/b666c9695d7f51a4ed7a2a7cfe4c18b7/Evaluating_Representations@CLASP_2022.pdf"}},"excerpt":"Abstract:\nThere has been an increased interest in developing general-purpose foundation models across different domains, such as language…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-03-30/"},"frontmatter":{"title":"Unnatural Language Semantics","date":"30 Mar, 2022","time":"00:00","lecturer":"Shane Steinert-Threlkeld from the University of Washington","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/951dfcd6d280ce7416e79e206c291358/clasp.pdf"}},"excerpt":"Abstract: Unnatural language semantics is the study of the meaning of words and expressions in languages that are very unlike natural…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-03-23/"},"frontmatter":{"title":"How do words get in order? the role of speaker-hearer interaction in languages of South Africa","date":"23 Mar, 2022","time":"00:00","lecturer":"Eva-Marie Bloom Ström","venue":"Gothenburg and Online","duration":"2 hours","slides":null},"excerpt":"Abstract: Referred to as verum focus since Höhle (1992), the emphasis on the expression of truth of a proposition is realized in in a…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-03-16/"},"frontmatter":{"title":"Modeling Dialogue through the Question-Answer relationship","date":"16 Mar, 2022","time":"00:00","lecturer":"Maria Boritchev","venue":"Gothenburg and Online","duration":"2 hours","slides":null},"excerpt":"Abstract:\nFormal studies of discourse raise numerous interrogations on the nature and the definition of the way consecutive sentences…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-03-09/"},"frontmatter":{"title":"Reinforcing Spirals and Online Conflict","date":"09 Mar, 2022","time":"00:00","lecturer":"Gregor Rettenegger from University of Gothenburg","venue":"Gothenburg and Online","duration":"2 hours","slides":null},"excerpt":"Abstract: Slater’s (2007, 2015) Reinforcing Spirals Model has gotten a lot of attention in communication research in recent years. The basic…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-03-02/"},"frontmatter":{"title":"The happiness of readers. Fractal scaling of sentiment dynamics and the assessment of literary quality.","date":"02 Mar, 2022","time":"00:00","lecturer":"Yuri Bizzoni from Aarhus University","venue":"Gothenburg and Online","duration":"2 hours","slides":null},"excerpt":"Abstract I will present the main research question and hypothesis of the new project FabulaNet. FabulaNet revolves around the complex…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-02-16/"},"frontmatter":{"title":"Causal analysis of the syntactic representations of Transformers","date":"16 Feb, 2022","time":"00:00","lecturer":"Tal Linzen from New York University","venue":"Gothenburg and Online","duration":"2 hours","slides":null},"excerpt":"Abstract: The success of artificial neural networks in language processing tasks has underscored the need to understand how they accomplish…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-02-09/"},"frontmatter":{"title":"Grounded language learning, from sounds and images to meaning","date":"09 Feb, 2022","time":"00:00","lecturer":"Afra Alishahi from Tilburg University","venue":"Online","duration":"2 hours","slides":null},"excerpt":"Abstract: \"In this talk, I will present and discuss the results from our recently published journal article on how language can affect the…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-02-02/"},"frontmatter":{"title":"On the Interplay between Language and Vision in Transformers: How Much of a \"Multi-Modal Learning\" Do We Observe?","date":"02 Feb, 2022","time":"00:00","lecturer":"Nikolai Ilinykh from University of Gothenburg","venue":"Online","duration":"2 hours","slides":{"publicURL":"/static/1d272d9e22434d5ad0b362eb7832c0b7/clasp-talk-nikolai-020222.pdf"}},"excerpt":"Abstract: \"In this talk, I will present and discuss the results from our recently published journal article on how language can affect the…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-01-26/"},"frontmatter":{"title":"Unitary Matrices are Composable and Learnable Word Embeddings","date":"26 Jan, 2022","time":"00:00","lecturer":"Jean-Philippe Bernardy and Shalom Lappin from University of Gothenburg","venue":"Online","duration":"2 hours","slides":null},"excerpt":"Abstract: “Unitary-evolution recurrent neural networks (URN) were previously introduced to address the problem of exploding and vanishing…"}},{"seminar":{"fields":{"slug":"/events/seminars/2022-01-13/"},"frontmatter":{"title":"Visualise my Corpus","date":"13 Jan, 2022","time":"00:00","lecturer":"Mo El-Haj, Lancaster University","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/ba68411e27b124128b8a3594c36c0bb9/visualise_my _corpus.pdf"}},"excerpt":"Abstract: Are you a researcher (postgrad or staff) working with large data sets, critical discourse analysis, and/or use tools to analyse…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-12-15/"},"frontmatter":{"title":"Interactive Task Learning From Corrective Feedback","date":"15 Dec, 2021","time":"00:00","lecturer":"Mattias Appelgren, University of Edinburgh","venue":"Gothenburg and Online","duration":"2 hours","slides":null},"excerpt":"Abstract: The current approach to AI uses large datasets and fixed domains where systems learn to perform a single desired task to a very…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-12-08/"},"frontmatter":{"title":"Abstract Wikipedia and Vastly Multilingual Natural Language Generation","date":"08 Dec, 2021","time":"00:00","lecturer":"Aarne Ranta, University of Gothenburg & Chalmers","venue":"Gothenburg and Online","duration":"2 hours","slides":null},"excerpt":"Abstract: \"Abstract Wikipedia is an initiative from the Wikimedia Foundation to generate Wikipedia articles from an abstract (i.e. language…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-11-24/"},"frontmatter":{"title":"Two New Insights into Beam Search","date":"24 Nov, 2021","time":"00:00","lecturer":"Ryan Cotterell, University of Zürich","venue":"Gothenburg and Online","duration":"2 hours","slides":null},"excerpt":"Abstract: “As a simple search heuristic, beam search has been used to decode models developed by the NLP community for decades. Indeed, it…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-11-17/"},"frontmatter":{"title":"How language understanding unfolds in minds and machines","date":"17 Nov, 2021","time":"00:00","lecturer":"Roger Levy, MIT","venue":"Gothenburg and Online","duration":"2 hours","slides":null},"excerpt":""}},{"seminar":{"fields":{"slug":"/events/seminars/2021-11-10/"},"frontmatter":{"title":"Probabilistic compositional semantics, purely","date":"10 Nov, 2021","time":"00:00","lecturer":"Julian Grove, University of Gothenburg","venue":"Gothenburg and Online","duration":"2 hours","slides":{"publicURL":"/static/219666bb5e88278bc8ad5de71279d352/claspnov10.pdf"}},"excerpt":"Abstract: This talk showcases some work currently being done with Jean-Philippe Bernardy. We provide a general framework for the integration…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-10-27/"},"frontmatter":{"title":"Contextualized embeddings for semantics: some steps along the way","date":"27 Oct, 2021","time":"00:00","lecturer":"Katrin Erk from the University of Texas","venue":"Gothenburg","duration":"2 hours","slides":null},"excerpt":"Abstract: Word vectors, more recently called embeddings, capture regularities about a word's observed context items. In their most recent…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-10-20/"},"frontmatter":{"title":"A space is worth a thousand words: A new spectral analysis method to evaluate vector space similarity","date":"20 Oct, 2021","time":"00:00","lecturer":"Haim Dubossarsky from the University of Cambridge","venue":"Gothenburg","duration":"2 hours","slides":null},"excerpt":"Abstract: “Vector-based models represent the meaning of words as numeric vectors, based on the words’ co-occurrence usage statistics as…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-08-25/"},"frontmatter":{"title":"Annotating Anaphoric Phenomena in Situated Dialog","date":"25 Aug, 2021","time":"00:00","lecturer":"Sharid Loáiciga","venue":"Gothenburg","duration":"2 hours","slides":null},"excerpt":"In recent years several corpora have been developed for vision and language tasks. However, there is still significant room for corpora that…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-06-09/"},"frontmatter":{"title":"Exploring Reasoning Capabilities of NLP systems using Recognizing Textual Entailment","date":"09 Jun, 2021","time":"00:00","lecturer":"Adam Poliak","venue":"Gothenburg","duration":"2 hours","slides":null},"excerpt":"Natural Language Processing (NLP) is the field of building machines that humans can seamlessly interact with through spoken and written…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-06-02/Richard-Johansson/"},"frontmatter":{"title":"Interpreting and Grounding Pre-trained Representations for Natural Language Processing","date":"02 Jun, 2021","time":"00:00","lecturer":"Richard Johansson and Lovisa Hagström","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/729ff32f73ab776975db43b36bb91c8e/CLASP_RJ_LH.pdf"}},"excerpt":"Building computers that understand human language is one of the central goals in artificial intelligence. A recent breakthrough on the way…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-05-26/Moa-Johansson/"},"frontmatter":{"title":"Bias and Methods of AI technology studying Political Science","date":"26 May, 2021","time":"00:00","lecturer":"Moa Johansson","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/6951bf8af4cabbd5404a312e0c45c6d2/CLASP-seminar-20210527.pdf"}},"excerpt":"In this talk I will describe cross disciplinary project involving computer scientists and political scientists, funded by WASP-HS. Political…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-05-19/Jörg-Tiedemann/"},"frontmatter":{"title":"What's in a translation model? Analyzing neural seq2seq models and the representations they learn","date":"19 May, 2021","time":"00:00","lecturer":"Jörg Tiedemann","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/6f930a826e60ba8fe03b1c7249bdba30/CLASP-FoTran.pdf"}},"excerpt":"Neural sequence-to-sequence architectures are powerful models for various NLP tasks, machine translation being one of them. We are…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-05-12/Staffan-Larsson/"},"frontmatter":{"title":"Bayesian inference and learning in Probabilistic Type Theory with Records","date":"12 May, 2021","time":"00:00","lecturer":"Staffan Larsson","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/18e62b108dff787801e9cc86478a9242/ProbTTR_IWCS(6).pdf"}},"excerpt":"We propose a probabilistic account of semantic inference, classification and learning formulated in terms of probabilistic type theory with…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-04-28/Mark-Steedman/"},"frontmatter":{"title":"Why we still need Grammars for NLP","date":"28 Apr, 2021","time":"00:00","lecturer":"Mark Steedman","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/882beee1a2ec38f51f8e7b7c45105415/gothenburg21.pdf"}},"excerpt":"Any theory of natural language consists of two modules: the grammar, which defines the semantics, and the model, which deals with the large…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-04-14/Robin-Cooper/"},"frontmatter":{"title":"Types and probability: Implementing probabilistic TTR","date":"14 Apr, 2021","time":"00:00","lecturer":"Robin Cooper","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/4ffedeca424dd6774b00ff6ce8268a06/typprob-slides.pdf"}},"excerpt":"This talk is a report on work in progress on implementing probabilistic TTR (https://www.aclweb.org/anthology/2015.lilt-10.4/) as an…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-04-07/Nick-Chater/"},"frontmatter":{"title":"Virtual bargaining: The hidden logic of joint action and communication","date":"07 Apr, 2021","time":"00:00","lecturer":"Nick Chater","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/f4ea898d5683a5ec95ad8841da35046f/Virtual-Bargaining.pdf"}},"excerpt":"People can communicate successfully with almost any signal. A nod, gesture or a look can, in context, successfully convey a message without…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-03-31/Giulia-Perugia/"},"frontmatter":{"title":"Gaze, Personality, and the Uncanny Valley: Implicit Cues of Uncanny feelings and Interaction Strategies to Overcome them","date":"31 Mar, 2021","time":"00:00","lecturer":"Giulia Perugia","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/6cb0535e962f007e411bc4307e5914c3/presentation_GU_2021_03_31_GP.pdf"}},"excerpt":"In this talk, I will give an overview of two studies that I have recently published in Frontiers in Robotics and AI and Computers in Human…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-03-24/Julia-Hockenmaier/"},"frontmatter":{"title":"Collaborative Construction and Communication with Minecraft","date":"24 Mar, 2021","time":"00:00","lecturer":"Julia Hockenmaier","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/4b4fef3e35a0b37b7a3400b8f26c05b9/HockenmaierMinecraftNEW.pdf"}},"excerpt":"Virtual gaming platforms such as Minecraft allow us to study situated natural language generation and understanding tasks for agents that…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-03-10/Nikolai-Ilinykh/"},"frontmatter":{"title":"When an Image Tells a Story: The Role of Visual and Semantic Information for Generating Paragraph Descriptions","date":"10 Mar, 2021","time":"00:00","lecturer":"Nikolai Ilinykh","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/fcc4c266245c300af4d09a015728e10c/clasp_seminar.pdf"}},"excerpt":"Generating multi-sentence image descriptions is a challenging task, which requires a good model to produce coherent and accurate paragraphs…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-02-24/Vlad-Maraev/"},"frontmatter":{"title":"Dialogue management with linear logic: the role of metavariables in questions and clarifications","date":"24 Feb, 2021","time":"00:00","lecturer":"Vlad Maraev","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/3767b185ae03e494dd7d2efc72f0bded/slides-tal.pdf"}},"excerpt":"In this paper, we study the formalisation of a dialogue management system using proof-search on top of a linear logic. We argue that linear…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-02-10/Marianna-Apidianaki/"},"frontmatter":{"title":"What does BERT know about words? Unveiling hidden lexical semantic properties","date":"10 Feb, 2021","time":"00:00","lecturer":"Marianna Apidianaki","venue":"Gothenburg","duration":"2 hours","slides":null},"excerpt":"Given the high performance of pre-trained language models on natural language understanding tasks, an important strand of work has focused…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-02-03/Axel-Almquist/"},"frontmatter":{"title":"HotAM: an Argument Mining Framework","date":"03 Feb, 2021","time":"00:00","lecturer":"Axel Almquist","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/bc297d41827c21131560eea3f130c803/HotAM-presentation-slides.pdf"}},"excerpt":"Argument Mining is a complex task, and to solve it, one has to create solutions that deal with several different subtasks. Existing research…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-01-27/Bill-Noble/"},"frontmatter":{"title":"Distributional semantics for lexical variation and change","date":"27 Jan, 2021","time":"00:00","lecturer":"Bill Noble","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/5d64f9eeefe243e13b866fadc748ef4d/dist-variation-and-change-slides.pdf"}},"excerpt":"Word representations based on the distributional hypothesis are useful in a wide range of natural language prediction tasks. They have also…"}},{"seminar":{"fields":{"slug":"/events/seminars/2021-01-20/Olof-Mogren/"},"frontmatter":{"title":"Learned representations and what they encode","date":"20 Jan, 2021","time":"00:00","lecturer":"Olof Mogren","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/282da6763eb7a418da43fe2ec7ec2a9a/mogren-clasp-seminar-2021-01(1).pdf"}},"excerpt":"Learned continuous embeddings for language units was some of the first trembling steps of making neural networks useful for natural language…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-12-09/Daisuke-Bekki/"},"frontmatter":{"title":"A hybrid approach toward Natural Language Understanding","date":"09 Dec, 2020","time":"00:00","lecturer":"Daisuke Bekki","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/a7204beb0b21542ef2f348e0e5465b44/Daisuke Bekki 9.12.pdf"}},"excerpt":"In this talk, I will introduce and discuss our recent development of the natural language understanding (NLU) system under a \"hybrid…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-12-02/Eleni-Gregoromichelaki/"},"frontmatter":{"title":"Affordances for syntax and semantics","date":"02 Dec, 2020","time":"00:00","lecturer":"Eleni Gregoromichelaki","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/1b1d67efa0506b9017a49e96da5af4c7/Eleni Gregoromichelaki 2.12.pdf"}},"excerpt":"The ability to predict action sequences on the basis of perception and past experience is essential for autonomous agents exhibiting…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-11-18/Ellie-Pavlick/"},"frontmatter":{"title":"You can lead a horse to water...: Representing vs. Using Features in Neural NLP","date":"18 Nov, 2020","time":"00:00","lecturer":"Ellie Pavlick","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/9948f0b4bfc479548d1168d4c09b41e5/Ellie Pavlick 18.11.pdf"}},"excerpt":"A wave of recent work has sought to understand how pretrained language models work. Such analyses have resulted in two seemingly…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-11-11/Adam-Ek/"},"frontmatter":{"title":"Composing Byte-Pair Encodings for Morphological Sequence Classification","date":"11 Nov, 2020","time":"00:00","lecturer":"Adam Ek","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/de44a7f6d0e0dd73ca35689252b7df39/Adam Ek 11.11.pdf"}},"excerpt":"In this talk I'll present research regarding composing sub-word representations, specifically representations obtained for byte-pair tokens…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-11-04/Emil-Carlsson-and-Devdatt Dubhashi/"},"frontmatter":{"title":"Learning numeral systems by interaction","date":"04 Nov, 2020","time":"00:00","lecturer":"Emil Carlsson and Devdatt Dubhashi ","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/a6ad2af99169bbcb82ccba96a72f184b/Emil Carlsson and Devdatt Dubhashi 4.11.pdf"}},"excerpt":"Human languages differ qualitatively in their numeral systems. At one extreme, some languages have a small set of number terms, which denote…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-10-28/Julian-Grove/"},"frontmatter":{"title":"Algebraic effects in Montague semantics","date":"28 Oct, 2020","time":"00:00","lecturer":"Julian Grove","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/7f5e0f84bf767fb6b4b5c3a9664519c0/Julian Grove 28.10.pdf"}},"excerpt":"Within the last two decades, research into the multifaceted nature of linguistic meaning from the perspective of dynamic semantics has…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-10-07/Vidya-Somashekarappa/"},"frontmatter":{"title":"What's your occipital lobe looking at? Gaze patterns and non-verbal cue detection","date":"07 Oct, 2020","time":"00:00","lecturer":"Vidya Somashekarappa","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/02cd4fd3c7d2fe018c6891696dab336b/Vidya Somashekarappa 7.10.pdf"}},"excerpt":"In this talk, I will discuss the topic of gaze prediction and my annotation effort to produce a data source that can help with automated…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-05-28/Milena-Rabovsky-Modeling/"},"frontmatter":{"title":"Modeling the N400 brain potential as change in a probabilistic representation of meaning","date":"28 May, 2020","time":"00:00","lecturer":"Milena Rabovsky","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/99f6c89fba43bf71cedf1d4377869bad/1772978_talk_gothenburg_milena_rabovsky.pdf"}},"excerpt":"The N400 component of the event-related brain potential has aroused much interest because it is thought to provide an online measure of…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-05-13/Wlodek-Zadrozny-Towards/"},"frontmatter":{"title":"Towards Co-Inductive Models for Natural Language Semantics","date":"13 May, 2020","time":"00:00","lecturer":"Wlodek Zadrozny","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/ea5519c93b982074e74268f4ccc1b68d/1772947_clasp-coinduction-for-nlp--w-zadrozny-may-13-2020.pdf"}},"excerpt":"Wlodek Zadrozny (UNC Charlotte and Duke U.) In this talk we are proposing adding coinduction to the computational apparatus of semantics…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-04-29/Gemma-Boleda-Distributional/"},"frontmatter":{"title":"Distributional Semantics and Linguistic Theory","date":"29 Apr, 2020","time":"00:00","lecturer":"Gemma Boleda","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/e4d6d92dec1261e3baee0e784a4d98d7/1770573_gemma-boleda-slides-april-2020.pdf"}},"excerpt":"Distributional semantics provides multi-dimensional, graded, empirically induced word representations that successfully capture many aspects…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-04-22/Herbert-Lange-Learning/"},"frontmatter":{"title":"Learning Domain-Specific Grammars from Example Sentences","date":"22 Apr, 2020","time":"00:00","lecturer":"Herbert Lange","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/253319c299bca633be77b9247e52a63c/1770107_clasp_lange_20200422.pdf"}},"excerpt":"For domain-specific applications computational grammars can be a useful resources. One challenge is that the domain experts and the grammar…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-04-15/Asad-Sayeed-and-Yuval-Marton-Data/"},"frontmatter":{"title":"Data requirements for thematic fit modeling","date":"15 Apr, 2020","time":"00:00","lecturer":"Asad Sayeed and Yuval Marton","venue":"Gothenburg","duration":"2 hours","slides":null},"excerpt":"Asad Sayeed and Yuval Marton's presentation slidesThematic fit is the extent to which a given noun fits a given semantic role that is…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-04-01/Chatrine-Qwaider-Deep/"},"frontmatter":{"title":"Deep Learning for Arabic Computational Linguistics (Sentiment Analysis as case study)","date":"01 Apr, 2020","time":"00:00","lecturer":"Chatrine Qwaider","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/074b843eb081f9999d8d3721596f452c/1769406_chatrine-qwaider-1.4---deep-learning-for-arabic-computational-linguistics.pdf"}},"excerpt":"The Seminar is part of Reading course on applying deep learning for Arabic Computational Linguistics. I present an overview of relevant…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-03-11/Adam-Ek-Enhanced/"},"frontmatter":{"title":"Enhanced dependency parsing","date":"11 Mar, 2020","time":"00:00","lecturer":"Adam Ek","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/159af53e8c428791e8dd655942f336a5/1767083_adam-ek---enhanced-universal-dependencies-11.3.pdf"}},"excerpt":"In this talk I introduce the framework “Enhanced Universal Dependencies”, an add-on to standard universal dependency annotations focusing on…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-03-04/Elin-McCready-Dogwhistles:/"},"frontmatter":{"title":"Dogwhistles: Ideology and Trust","date":"04 Mar, 2020","time":"00:00","lecturer":"Elin McCready","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/ca4568ecfb6509d8e0cf04ff366cf30d/1766468_elin-mccready---dogwhistles.-ideology-and-trust.pdf"}},"excerpt":"In political speech, it is often strategically important to signal one's ideology to a subset of listeners, especially when that ideology…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-02-26/Vladislav-Maraev-and-Bill-Noble-effect/"},"frontmatter":{"title":"The effect of laughter on dialogue act recognition","date":"26 Feb, 2020","time":"00:00","lecturer":"Vladislav Maraev and Bill Noble","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/5cc80267daee201c25409062617d095c/1767762_clasp-seminar-tickleme---vladislav-maraev-and-bill-noble-26.2.pdf"}},"excerpt":"We investigate how useful BERT is for dialogue act recognition. We analyse benefit of BERT's pre-training procedure and the importance of…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-02-21/Mehdi-Ghanimifard---Final-seminar-Why/"},"frontmatter":{"title":"Why the pond is not outside the frog? Grounding in contextual representations by neural language models","date":"21 Feb, 2020","time":"00:00","lecturer":"Mehdi Ghanimifard - Final seminar","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/a567ed0a819234416af1ee66f3dd6bec/1766665_ghanimifard2020-finalseminar.pdf"}},"excerpt":"In this thesis, to build a multi-modal system for language generation and understanding, we study grounded neural language models…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-02-20/Desmond-Elliott-Compositional/"},"frontmatter":{"title":"Compositional Generalization in Image Captioning","date":"20 Feb, 2020","time":"00:00","lecturer":"Desmond Elliott","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/0b5265cf5566a3d774bedd01b62baa47/1765667_desmond-elliott---compositional-generalisation-in-image-captioning.pdf"}},"excerpt":"Image captioning models are usually evaluated on their ability to describe a held-out set of images, not on their ability to generalize to…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-02-12/Lasha-Abzianidze-Natural/"},"frontmatter":{"title":"Natural theorem proving for natural language: theory and application","date":"12 Feb, 2020","time":"00:00","lecturer":"Lasha Abzianidze","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/bacdab13cc1486e39e99bf7855202214/1766300_lasha-abzianidze---natural_tableau_at_claps---12.02.pdf"}},"excerpt":"If we assume Montague's belief that there is ¿no important theoretical difference between natural languages and the artificial languages of…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-02-10/Lasha-Abzianidze-Parallel/"},"frontmatter":{"title":"The Parallel Meaning Bank: a corpus of translations annotated with formal meaning representations","date":"10 Feb, 2020","time":"00:00","lecturer":"Lasha Abzianidze","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/2ea7cd1846e43062c88abd1973c5d6ad/1766301_lasha-abzianidze---pmb_at_claps---10.02.pdf"}},"excerpt":"(joint work with Johan Bos, Kilian Evang, Hessel Haagsma, and Rik van Noord)The Parallel Meaning Bank (PMB) is a large collection of bitexts…"}},{"seminar":{"fields":{"slug":"/events/seminars/2020-01-29/Shiri-Lev-Ari-Language/"},"frontmatter":{"title":"Language evolution and change from a social networks perspective","date":"29 Jan, 2020","time":"00:00","lecturer":"Shiri Lev-Ari","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/2986caf8dd6746df8f1095a12b74b9e5/1765699_shiri-lev-ari---language-evolution-and-change-from-a-social-networks-perspective-clasp.pdf"}},"excerpt":"Languages exhibit great variability in their structures. In this talk I will show that some of the cross-linguistic differences could be…"}},{"seminar":{"fields":{"slug":"/events/seminars/2019-12-04/Shalom-Lappin-Modelling/"},"frontmatter":{"title":"Modelling the Effect of Context on Sentence Acceptability","date":"04 Dec, 2019","time":"00:00","lecturer":"Shalom Lappin","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/6391a6ddef81d8858f06d17a0c608d6f/1759776_lappin-shalom-clasp-19.pdf"}},"excerpt":"Joint work with Jey Han Lau, The University of Melbourne; Carlos Armendariz, Queen Mary University of London; Matthew Purver, Queen Mary…"}},{"seminar":{"fields":{"slug":"/events/seminars/2019-10-30/Colin-Zwanziger-Propositional/"},"frontmatter":{"title":"Propositional Attitude Operators via Homotopy Type Theory","date":"30 Oct, 2019","time":"00:00","lecturer":"Colin Zwanziger","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/f61836fb0b50976bcae74ff1e2372eef/1759745_zwanziger-colin-clasp-19.pdf"}},"excerpt":"Since it interprets propositions by sets of possible worlds, the intensional logic of Montague (1973) does not distinguish propositions…"}},{"seminar":{"fields":{"slug":"/events/seminars/2019-10-16/Jean-Philippe-Bernardy-Logic/"},"frontmatter":{"title":"A Logic with Measurable Spaces for Natural Language Semantics","date":"16 Oct, 2019","time":"00:00","lecturer":"Jean-Philippe Bernardy","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/8ea44bfe4d78d74d72cc050206018d8d/1759777_bernardy-jp-clasp-19.pdf"}},"excerpt":"Joint work withRasmus BlanckAleksandre Maskharashvili The ability of humans to reason under uncertainty has reflectionswithin natural…"}},{"seminar":{"fields":{"slug":"/events/seminars/2019-09-09/Matthew-Marge-Towards/"},"frontmatter":{"title":"Towards Natural Dialogue with Robots","date":"09 Sep, 2019","time":"00:00","lecturer":"Matthew Marge","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/eb519a14e8609783be418195e802139b/1759983_marge-matthew-clasp-19.pdf"}},"excerpt":"Robots can be more effective teammates with people if they can engage in natural language dialogue. In this talk, I will address one…"}},{"seminar":{"fields":{"slug":"/events/seminars/2019-05-29/Lauri-Karttunen-Training/"},"frontmatter":{"title":"Training a Neural Model to Reason with Implicatives","date":"29 May, 2019","time":"00:00","lecturer":"Lauri Karttunen","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/31a8c706c54a297cb3d253c453e10f22/1733451_karttunen.pdf"}},"excerpt":"Implicative constructions, such as manage to and waste a chance, possess an underlying semantic property that we call the signature of the…"}},{"seminar":{"fields":{"slug":"/events/seminars/2019-05-29 (2)/Larry-Moss-Monotonicity/"},"frontmatter":{"title":"Monotonicity in Natural Language Inference: An Update on Theory and Practice","date":"29 May, 2019","time":"00:00","lecturer":"Larry Moss","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/8d2fd4f48542cbc6d3b47213c533e296/1733362_clasp5.29.2019.pdf"}},"excerpt":"This talk reports on results in the last two years related to monotonicity in NLI. The starting point of this line of work was the…"}},{"seminar":{"fields":{"slug":"/events/seminars/2019-05-28/Annie-Zaenen-WOPIS:/"},"frontmatter":{"title":"WOPIS: Remarks on Word Order, Prosody and Information Structure: the prefield in Swedish (and Dutch)","date":"28 May, 2019","time":"00:00","lecturer":"Annie Zaenen","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/f1f156c310adba58403ddb36c1bd3a27/1733450_handout_for_gothenburg__copy_.pdf"}},"excerpt":"The talk is part of a very new project with Elisabet Engdahl and Filippa Lindahl. I will present some preliminary data on what one can find…"}},{"seminar":{"fields":{"slug":"/events/seminars/2019-05-09/Stergios-Chatzikyriakidis,-To/"},"frontmatter":{"title":"To infer or not to infer: Natural Language Inference and Computational Semantics","date":"09 May, 2019","time":"00:00","lecturer":"Stergios Chatzikyriakidis,","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/57456937032cafbd0bd46035fd0e3386/1733360_docent_lecture.pdf"}},"excerpt":""}},{"seminar":{"fields":{"slug":"/events/seminars/2019-04-17/Thomas-Hörberg,-Expectation-based/"},"frontmatter":{"title":"Expectation-based processing of grammatical functions in Swedish","date":"17 Apr, 2019","time":"00:00","lecturer":"Thomas Hörberg,","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/c4b9da4522c3cf44fbb922e7a1d4f346/1725306_presentation_clasp_2019_thomas_hoerberg.pdf"}},"excerpt":"Much research indicate that language processing is expectation-based, drawing on statistical patterns in the input (e.g., MacDonald 201…"}},{"seminar":{"fields":{"slug":"/events/seminars/2019-04-10/Massimo-Poesio,-Disagreements/"},"frontmatter":{"title":"Disagreements in Anaphoric Interpretation","date":"10 Apr, 2019","time":"00:00","lecturer":"Massimo Poesio,","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/5849995d753ba3c2e05f43bd8f84b5a4/1724686_massimo-poesio_disagreements-in-anaphoric-annotation.pdf"}},"excerpt":"The assumption that natural language expressions have a single, discrete and clearly identifiable meaning in a given context, successfully…"}},{"seminar":{"fields":{"slug":"/events/seminars/2019-03-29/Jey-Han-Lau,-Early/"},"frontmatter":{"title":"Early rumour detection","date":"29 Mar, 2019","time":"00:00","lecturer":"Jey Han Lau,","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/cf36d98279dbd71f2e4f0e0b37f86c79/1723742_rumour.pdf"}},"excerpt":"Rumours can spread quickly through social media, and malicious ones can bring about significant economical and social impact. In this talk I…"}},{"seminar":{"fields":{"slug":"/events/seminars/2019-03-27/Jey-Han-Lau,-Deep-speare:/"},"frontmatter":{"title":"Deep-speare: A joint neural model of poetic language, meter and rhyme","date":"27 Mar, 2019","time":"00:00","lecturer":"Jey Han Lau,","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/928abb0a0655e75f36243ba3368e96d3/1723708_sonnet.pdf"}},"excerpt":"In this talk, I will present a paper on poetry generation that was published in ACL2018. In the paper we propose a joint architecture that…"}},{"seminar":{"fields":{"slug":"/events/seminars/2019-03-20/Oliver-Bott,-Incremental/"},"frontmatter":{"title":"Incremental Interpretation of Relative Scope?","date":"20 Mar, 2019","time":"00:00","lecturer":"Oliver Bott,","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/fef49558b703c1ff94bf19241ccfbe1c/1722552_gothenburg_bott_2019.pdf"}},"excerpt":"This talk is about the incremental construction of the semantic representation. I will first briefly introduce an incremental semantic…"}},{"seminar":{"fields":{"slug":"/events/seminars/2019-03-08/Aarne-Talman,-Neural/"},"frontmatter":{"title":"Neural Network of NLI Fail to Capture the General Notion of Inference","date":"08 Mar, 2019","time":"00:00","lecturer":"Aarne Talman,","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/813038bcfa8439a05caba7a3a6fca81f/1720939_seminar_gothenburg_march_2019.pdf"}},"excerpt":"Natural language inference (NLI), the task of determining if a sentence is entailed by one or more given sentences, has been a very popular…"}},{"seminar":{"fields":{"slug":"/events/seminars/2019-02-27/Heather-Burnett,-Conceptual/"},"frontmatter":{"title":"A Conceptual Spaces Model of Socially Conditioned Language Change","date":"27 Feb, 2019","time":"00:00","lecturer":"Heather Burnett,","venue":"Gothenburg","duration":"2 hours","slides":null},"excerpt":"Since the mid 1990s, the development of mathematical and computational models of language variation and change, such as (Clark and Roberts…"}},{"seminar":{"fields":{"slug":"/events/seminars/2019-02-13/Kathrein-Abu-Kwaik,-Lexical/"},"frontmatter":{"title":"A Lexical Distance Study of Arabic Dialects","date":"13 Feb, 2019","time":"00:00","lecturer":"Kathrein Abu Kwaik,","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/c5852c22b8163a941f19fd6e9bc75cdb/1718830_chatrien-qwaider.pdf"}},"excerpt":"We conduct a computational cross dialectal lexical distance study to measure the similarities and differences between the Arabic dialects…"}},{"seminar":{"fields":{"slug":"/events/seminars/2019-02-06/Vlad-Maraev,-Predicting/"},"frontmatter":{"title":"Predicting laughter relevance spaces in dialogue","date":"06 Feb, 2019","time":"00:00","lecturer":"Vlad Maraev,","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/ff4758a507cb042fb42afe18536aff85/1719750_vlad-maraev-presentation-slides-feb-6th.pdf"}},"excerpt":"In this talk, we address the task of predicting spaces in interaction where laughter can occur. We introduce the new task of predicting…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-12-19/Riza-Batista-Detecting/"},"frontmatter":{"title":"Detecting semantic similarity between human-articulated statements and Quranic verses","date":"19 Dec, 2018","time":"00:00","lecturer":"Riza Batista","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/e3948a2efbf40270c10b624c188f8e62/1711230_clasp-seminar-dec-2018---riza-batista.pdf"}},"excerpt":"As the book of religious teachings of Islam, the Quran is frequently cited on many platforms, e.g., on social media, in web sites, and in…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-12-12/Andy-Luecking-Turning/"},"frontmatter":{"title":"Turning context into meaning","date":"12 Dec, 2018","time":"00:00","lecturer":"Andy Luecking","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/1716bc07bc41e1c572962073b4fafa3e/1565719_jan-van-eijck-modelling-legal-relations.pdf"}},"excerpt":"Some expressions seem to be more context-sensitive than others, namely indexical and demonstrative ones. Both kinds of expressions have a…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-12-05/Zhaohui-Luo-Dependent/"},"frontmatter":{"title":"Dependent Event Types","date":"05 Dec, 2018","time":"00:00","lecturer":"Zhaohui Luo","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/020ca017a5b4024c0de1386fa3fa4ecd/1709739_clasp18event.pdf"}},"excerpt":"This talk studies how dependent types can be employed for a refined treatment of event types, offering a nice improvement to Davidson's…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-12-03/Zhaohui-Luo-Universes/"},"frontmatter":{"title":"Universes in MTT-semantics","date":"03 Dec, 2018","time":"00:00","lecturer":"Zhaohui Luo","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/f3babc604d5a0b8caafd770e70cf336a/1709457_clasp18universes.pdf"}},"excerpt":"In type theory, a universe is a type of types. Universes play important roles when modern type theories (MTTs) are employed as foundational…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-11-28/Devdatt-Dubhashi,-Mikael-Kågebäck-and-Asad-Sayeed-Learning/"},"frontmatter":{"title":"Learning (a language) to Communicate Efficiently","date":"28 Nov, 2018","time":"00:00","lecturer":"Devdatt Dubhashi, Mikael Kågebäck and Asad Sayeed","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/391df9c3c6ec62f534e85872b5063257/1709160_small_reinforce_color.pdf"}},"excerpt":"Although languages vary enormously, there are nevertheless universal tendencies in word meanings, such that similar or identical meanings…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-11-21/Bartosz-Wieckowski-Intuitionistic/"},"frontmatter":{"title":"Intuitionistic multi-agent subatomic natural deduction for belief and knowledge","date":"21 Nov, 2018","time":"00:00","lecturer":"Bartosz Wieckowski","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/3a8a833f2cce60596845fcd375143f39/1708035_2018_gothenburg_clasp_slides.pdf"}},"excerpt":"In this talk, we will consider a natural deduction system which aims at the proof-theoretic analysis of reasoning with complex multi-agent…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-11-20/Ielka-van-der-Sluis-PAT/"},"frontmatter":{"title":"The PAT project: Annotation and Evaluation of Pictures and Text","date":"20 Nov, 2018","time":"00:00","lecturer":"Ielka van der Sluis","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/91e74e24c61ebfa9b3b7868dd164a66b/1708065_reg-lecture_gothenburg_2018_final_ivds.pdf"}},"excerpt":"Slides In this talk I will present the PAT project in which we investigate the use, effects and optimisation of documents that contain…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-11-14/Patrick-Blackburn-clarification/"},"frontmatter":{"title":"The clarification potential of instructions: Predicting clarification requests","date":"14 Nov, 2018","time":"00:00","lecturer":"Patrick Blackburn","venue":"Gothenburg","duration":"2 hours","slides":null},"excerpt":"Slides The hypothesis motivating this talk is that conversational implicatures are an important source of clarification requests, and in…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-10-31/Bill-Noble-Measuring/"},"frontmatter":{"title":"Measuring linguistic style alignment: Social and psychological perspectives","date":"31 Oct, 2018","time":"00:00","lecturer":"Bill Noble","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/1856ee72aa61b94b6acd0ebc7bcd591a/1705710_2018-10-31_clasp_seminar_bill_noble.pdf"}},"excerpt":"In conversation, speakers tend to adapt their speech to be more similar to that of their interlocutor. Such alignment is observed across…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-10-24/Marco-Baroni-Systematic/"},"frontmatter":{"title":"Systematic compositionality in recurrent neural networks (and, if time allows, humans) (joint work with Brenden Lake, João Loula, Adam Liska, Germán Kruszewski, Tal Linzen)","date":"24 Oct, 2018","time":"00:00","lecturer":"Marco Baroni","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/fe1b398a82e63dd71c99e0668d706b79/1704969_marco-clasp-oct2018-composition.pdf"}},"excerpt":"Recurrent neural networks (RNNs) are remarkably general learning systems that, given appropriate training examples, can handle complex…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-10-22/Marco-Baroni-Tabula/"},"frontmatter":{"title":"Tabula nearly rasa: Probing the linguistic knowledge of character-level neural language models trained on unsegmented text (work in collaboration with Michael Hahn)","date":"22 Oct, 2018","time":"00:00","lecturer":"Marco Baroni","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/93c3d4787e8271b5b9864d99f31f62a5/1704929_marco-clasp-oct2018-tabula-rasa.pdf"}},"excerpt":"As recurrent neural networks (RNNs) have recently reached striking performance levels in a variety of natural language processing tasks…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-10-17/Vlad-Maraev-Towards/"},"frontmatter":{"title":"Towards KoS/TTR-based proof-theoretic dialogue management (joint work with: Jonathan Ginzburg (Université Paris Diderot), Staffan Larsson, Ye Tian (Amazon Research), Jean-Philippe Bernardy)","date":"17 Oct, 2018","time":"00:00","lecturer":"Vlad Maraev","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/0e8e41f49889bdf2e00e323ec673f557/1705644_slides-vlad-clasp.pdf"}},"excerpt":"This paper presents the first attempt to implement a dialogue manager based on the KoS framework for dialogue context and interaction. We…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-10-10/Mehdi-Ghanimifard-Spatial/"},"frontmatter":{"title":"Spatial Knowledge In Neural Language Models","date":"10 Oct, 2018","time":"00:00","lecturer":"Mehdi Ghanimifard","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/29ea204e15dcc74ac58b26cd9244db61/1705654_presentation_clasp-mehdi.pdf"}},"excerpt":"Understanding and generating spatial descriptions requires, among other things, knowledge about how objects are related geometrically. The…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-10-03/Rasmus-Blanck-Compositional/"},"frontmatter":{"title":"A Compositional Bayesian Semantics for Natural Language","date":"03 Oct, 2018","time":"00:00","lecturer":"Rasmus Blanck","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/8e0b71e3d64dea98972e6c12213dd320/1705608_bbcl_clasp_handout-rasmus.pdf"}},"excerpt":"We propose a compositional Bayesian semantics that interprets declarative sentences in a natural language by assigning them probability…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-05-16/Richard-Sproat-Induction/"},"frontmatter":{"title":"Induction of Finite-State Covering Grammars for Text Normalization (joint work with Kyle Gorman)","date":"16 May, 2018","time":"00:00","lecturer":"Richard Sproat","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/d71d6859b97d93a89c8c4bfa4e45ab00/1689827_gothenburg2.pdf"}},"excerpt":"In this talk I will introduce our work on applying neural methods to the problem of text normalization. Though the performance of the system…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-05-14/Richard-Sproat-computational/"},"frontmatter":{"title":"A computational model of the discovery of writing","date":"14 May, 2018","time":"00:00","lecturer":"Richard Sproat","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/fc68e8241401ed189820cdba608a3711/1689826_gothenburg1.pdf"}},"excerpt":"This paper reports on a computational simulation of the evolution of early writing systems from pre-linguistic symbol systems, something for…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-03-15/Sam-Bowman-Sentence/"},"frontmatter":{"title":"Sentence Understanding with Neural Networks and Natural Language Inference","date":"15 Mar, 2018","time":"00:00","lecturer":"Sam Bowman","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/832f3932063fe0cdfc9dc09468cef619/1684992_go--teborg-ii.pdf"}},"excerpt":"Artificial neural networks now represent the state of the art in most large-scale applied language understanding tasks. This talk presents a…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-03-12/Sam-Bowman-Two/"},"frontmatter":{"title":"Two Early Efforts toward Using Deep Learning in Syntax and Semantics","date":"12 Mar, 2018","time":"00:00","lecturer":"Sam Bowman","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/eccece4ed538d0b4810c1b2cc04a36ff/1684991_go--teborg-i.pdf"}},"excerpt":"This talk will present two ongoing projects that aim to lay the groundwork to use results from artificial neural networks research in NLP to…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-03-08/Stephan-Oepen-Holes/"},"frontmatter":{"title":"Holes in Meaning Construction with Minimal Recursion Semantics","date":"08 Mar, 2018","time":"00:00","lecturer":"Stephan Oepen","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/59e6c0d3e00618f5895ffa23bef20f65/1685022_gothenburg.8-mar-18.pdf"}},"excerpt":"In joint work with Dan Flickinger, we provide a semi-formal review of the meaning construction process in the English Resource Grammar (ERG…"}},{"seminar":{"fields":{"slug":"/events/seminars/2018-03-08 (2)/Dag-Haug-Glue/"},"frontmatter":{"title":"Glue semantics for Universal dependencies","date":"08 Mar, 2018","time":"00:00","lecturer":"Dag Haug","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/b4694914c574703fa77a07140f339f32/1685343_gothamhaug.pdf"}},"excerpt":"In this talk I explore the use of techniques from Glue semantics for composing meaning representations based on Universal Dependencies (UD…"}},{"seminar":{"fields":{"slug":"/events/seminars/2017-12-13/Rasmus-Blanck-Rough/"},"frontmatter":{"title":"Rough Sets and Degree Modifiers","date":"13 Dec, 2017","time":"00:00","lecturer":"Rasmus Blanck","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/70a4204b9331739296648c47266a3595/1674007_blanck.pdf"}},"excerpt":"Rough sets were introduced by Pawlak in 1982, as a generalisation of classical set theory. A rough set is characterised by its upper and…"}},{"seminar":{"fields":{"slug":"/events/seminars/2017-11-17/Maxime-Amblard-Formal/"},"frontmatter":{"title":"A Formal Account of Disorders in Dialogues","date":"17 Nov, 2017","time":"00:00","lecturer":"Maxime Amblard","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/e23f0cbd5d664253cc34cbf00e16fc31/1674508_claspamblard.pdf"}},"excerpt":"This talk will present the project SLAM (Schizophrenia and Language - Analyse and Modelling). Since 2011, we build and analyse a corpus of…"}},{"seminar":{"fields":{"slug":"/events/seminars/2017-10-25/Aleksandre-Maskharashvili-Abstract/"},"frontmatter":{"title":"An Abstract Categorial Grammar Approach to the Discourse Modeling","date":"25 Oct, 2017","time":"00:00","lecturer":"Aleksandre Maskharashvili","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/624b7965bbe4e49c2cb0158d31949052/1662456_slides_25oct2017.pdf"}},"excerpt":"Various theories have been proposed in order to analyze a discourse in terms of rhetorical (discourse) relations. The main assumption in…"}},{"seminar":{"fields":{"slug":"/events/seminars/2017-09-13/Sharid-Loaiciga-What/"},"frontmatter":{"title":"What is it? Disambiguating the different readings of the pronoun 'it'","date":"13 Sep, 2017","time":"00:00","lecturer":"Sharid Loaiciga","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/d23d5bc27959a1b9fcc30608d662bf2f/1657021_whatisit-slides.pdf"}},"excerpt":"Machine translation of pronouns is problematic for different reasons. Languages differ in their pronoun systems, creating mismatches in…"}},{"seminar":{"fields":{"slug":"/events/seminars/2017-05-29/Judith-Holler-On/"},"frontmatter":{"title":"On the pragmatics of face-to-face communication: the role of the body in social cognition and social interaction","date":"29 May, 2017","time":"00:00","lecturer":"Judith Holler","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/c29a40068173b37410f7c13e66c1cbfc/1644338_gothenburg-2017_schlangen.pdf"}},"excerpt":"Coordination is at the heart of human conversation. In order to interact with one another through talk, we must coordinate at many levels…"}},{"seminar":{"fields":{"slug":"/events/seminars/2017-05-10/David-Schlangen-Learning/"},"frontmatter":{"title":"Learning and Maintaining a Lexicon for Situated Interaction","date":"10 May, 2017","time":"00:00","lecturer":"David Schlangen","venue":"Gothenburg","duration":"2 hours","slides":null},"excerpt":"If, when asked to \"point at the mug\", a physically unimpaired person seems unable to identify a potential referent that is standing in front…"}},{"seminar":{"fields":{"slug":"/events/seminars/2017-05-05/Eve-Clark-Language/"},"frontmatter":{"title":"Language as (Graded) Expertise","date":"05 May, 2017","time":"00:00","lecturer":"Eve Clark","venue":"Gothenburg","duration":"2 hours","slides":null},"excerpt":"Just as in the acquisition of other forms of expertise, learning a first language depends on three essential ingredients: exposure, practice…"}},{"seminar":{"fields":{"slug":"/events/seminars/2017-05-05 (2)/Eve-Clark-Language/"},"frontmatter":{"title":"Language as (Graded) Expertise","date":"05 May, 2017","time":"00:00","lecturer":"Eve Clark","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/73a6d5725a4cd343a4035c30d7b0b49c/1649769_clasp-1clark-summ.pdf"}},"excerpt":"Children acquire language as they interact with adults from infancy onwards. Adults-parents and caretakers-are 'expert speakers' and they…"}},{"seminar":{"fields":{"slug":"/events/seminars/2017-05-04/Herbert-Clark-Performing/"},"frontmatter":{"title":"Performing depictions in everyday discourse","date":"04 May, 2017","time":"00:00","lecturer":"Herbert Clark","venue":"Gothenburg","duration":"2 hours","slides":null},"excerpt":"Depicting is a basic method of communication on a par with describing and pointing (or indicating). The idea is that people use their hands…"}},{"seminar":{"fields":{"slug":"/events/seminars/2017-05-02/Herbert-H.-Clark-On/"},"frontmatter":{"title":"On the rational basis of communication","date":"02 May, 2017","time":"00:00","lecturer":"Herbert H. Clark","venue":"Gothenburg","duration":"2 hours","slides":null},"excerpt":"Communication is often said to be a rational behavior. As Grice (1975) put it, \"Talking is a special case or variety of purposive, indeed…"}},{"seminar":{"fields":{"slug":"/events/seminars/2017-03-22/Eleni-Gregoromichelaki-Ad/"},"frontmatter":{"title":"Ad hoc grammatical categorisation in Dynamic Syntax","date":"22 Mar, 2017","time":"00:00","lecturer":"Eleni Gregoromichelaki","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/674521c3695c49f98cff2a151098cc1b/1620492_gothenburgslidesgreg.pdf"}},"excerpt":"Abstract The view of NLs as codes mediating a mapping between \"expressions\" and the world is abandoned to give way to a view where…"}},{"seminar":{"fields":{"slug":"/events/seminars/2017-03-20/Hannes-Rieser-Process/"},"frontmatter":{"title":"A Process Algebra Account of Speech-Gesture Interaction","date":"20 Mar, 2017","time":"00:00","lecturer":"Hannes Rieser","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/cd79d9c97fd4049211860676c5e648a8/1621324_gothenburg_talk_2017_rieser.pdf"}},"excerpt":"The talk is based on extensive corpus work dealing with the interaction of gesture and speech in natural route-description dialogues. The…"}},{"seminar":{"fields":{"slug":"/events/seminars/2017-03-01/Kristina-Liefke-Relating/"},"frontmatter":{"title":"Relating Theories of Formal Semantics: established methods and surprising results","date":"01 Mar, 2017","time":"00:00","lecturer":"Kristina Liefke","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/dc492b297b60ca12cd1215496b6d9c2e/1617947_slides_liefke.pdf"}},"excerpt":"Formal semantics comprises a plethora of theories which interpret natural language through the use of di¿erent ontological primitives (e.g…"}},{"seminar":{"fields":{"slug":"/events/seminars/2017-02-20/Asad-Sayeed-Semantic/"},"frontmatter":{"title":"Semantic representation and world knowledge","date":"20 Feb, 2017","time":"00:00","lecturer":"Asad Sayeed","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/aa3a55a5f927c63f79c8cf7939fa4601/1615969_asadtalk.pdf"}},"excerpt":"While general knowledge of the world plays a role in language use, language processing in humans is also guided by formal intuitions about…"}},{"seminar":{"fields":{"slug":"/events/seminars/2017-02-01/Mathieu-Lafourcade-Games/"},"frontmatter":{"title":"Games with a Purpose: The JeuxdeMots project","date":"01 Feb, 2017","time":"00:00","lecturer":"Mathieu Lafourcade","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/a421f3332fdd12283e1e5da1a3c60816/1615183_lafourcade-jdm-goteborg-v10.pdf"}},"excerpt":"Human-based computation is an approach where some steps of a computation is outsourced to humans. Games with a purpose (GWAPs) are games…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-11-30/Peter-Sutton-probabilistic,/"},"frontmatter":{"title":"A probabilistic, mereological account of the mass/count distinction","date":"30 Nov, 2016","time":"00:00","lecturer":"Peter Sutton","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/c2fc4ce27e6a74355e1b5154770625c5/1608681_clasp_slides_sutton.pdf"}},"excerpt":"In this paper, we attempt to answer the vexing question why it should be the case that only certain types of noun meanings exhibit mass…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-11-14/Jean-Philippe-Bernandy-Efficient/"},"frontmatter":{"title":"Efficient Parallel and Incremental Parsing of Practical Context-Free Languages","date":"14 Nov, 2016","time":"00:00","lecturer":"Jean-Philippe Bernandy","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/9d2acb29bc1cf7b9b9e68c3032b82d0d/1605218_jean-philippe_clasp.pdf"}},"excerpt":"We present a divide-and-conquer algorithm for parsing context-free languages efficiently. Our algorithm is an instance of Valiant's (197…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-11-02/Ruth-Kempson-Language:/"},"frontmatter":{"title":"Language: The Tool for Interaction -- Surfing Uncertainty Together","date":"02 Nov, 2016","time":"00:00","lecturer":"Ruth Kempson","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/02a23ac330bb519938ac4d3b9d033d2a/1598008_gothenburgfull_el5final.pdf"}},"excerpt":"With established recognition of the endemic context-relativity of language, it is now generally accepted that both parsing and production…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-10-18/Matthew-Stone-Bayesian/"},"frontmatter":{"title":"A Bayesian model of grounded color semantics","date":"18 Oct, 2016","time":"00:00","lecturer":"Matthew Stone","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/f42e209c1ecbd21a304966d54be92b61/1595352_matthewstone.pdf"}},"excerpt":"Natural language meanings allow speakers to encode important real-world distinctions, but corpora of grounded language use also reveal that…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-09-13/Ev-Fedorenko-internal/"},"frontmatter":{"title":"The internal architecture of the language network","date":"13 Sep, 2016","time":"00:00","lecturer":"Ev Fedorenko","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/5e36541b4d70cbf5e221acb0eba2d84c/1587150_fedorenko_gu_talk2_sept13-2016.pdf"}},"excerpt":"A set of brain regions on the lateral surfaces of left frontal, temporal, and parietal cortices robustly respond during language…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-09-12/Ted-Gibson-Information/"},"frontmatter":{"title":"Information processing and cross-linguistic universals","date":"12 Sep, 2016","time":"00:00","lecturer":"Ted Gibson","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/d40797bab8570c061c89c1c0efa0463f/1586985_gibson-universals-sweden-sept-2016.pdf"}},"excerpt":"Finding explanations for the observed variation in human languages is the primary goal of linguistics, and promises to shed light on the…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-09-08/Ev-Fedorenko-human/"},"frontmatter":{"title":"The human language network within the broader architecture of the human mind and brain","date":"08 Sep, 2016","time":"00:00","lecturer":"Ev Fedorenko","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/3f91d6a8ff869d490025be0fb68b4950/1586328_fedorenko_glasp_talk1.pdf"}},"excerpt":"Link to the recorded talk Although many animal species have the ability to generate complex thoughts, only humans can share such thoughts…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-09-06/Ted-Gibson-Language/"},"frontmatter":{"title":"Language processing over a noisy channel","date":"06 Sep, 2016","time":"00:00","lecturer":"Ted Gibson","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/95ae56b22003aa4db44cbe5b059d23fe/1586092_gibson_clasp_talk1.pdf"}},"excerpt":"Link to the recorded talk Traditional linguistic models of syntax and language processing have assumed an error-free process of language…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-06-16/Carla-Umbach-Ad-hoc/"},"frontmatter":{"title":"Ad-hoc Kind-formation by Similarity","date":"16 Jun, 2016","time":"00:00","lecturer":"Carla Umbach","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/91499c4b861b412b660e7ef042d9e442/1579169_umbach_claspseminar.pdf"}},"excerpt":"Abstract:The talk focuses on demonstratives of manner, quality and/or degree, like German \"so\", Polish \"tak\", and English \"such\" (mqd…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-05-12/Simon-Dobnik-Model/"},"frontmatter":{"title":"A Model for Attention-Driven Judgements in Type Theory with Records","date":"12 May, 2016","time":"00:00","lecturer":"Simon Dobnik","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/fa4b8562ca05ce02e8f13494320d7f37/1575429_dobnik_clasp_120516.pdf"}},"excerpt":"Abstract: Joint work with John D. Kelleher, Dublin Institute of Technology, Ireland Type Theory with Records (TTR) has been proposed as a…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-05-04/Shay-Cohen-Latent-Variable/"},"frontmatter":{"title":"Latent-Variable Grammars and Natural Language Semantics","date":"04 May, 2016","time":"00:00","lecturer":"Shay Cohen","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/8a00a747550516ac358482490f5dfb42/1573536_shay_cohen_clasp_seminar.pdf"}},"excerpt":"Probabilistic grammars are an important model family in natural language processing. They are used in the modeling of many problems, mostly…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-05-04 (2)/Shay-Cohen-Latent-Variable/"},"frontmatter":{"title":"Latent-Variable Grammars and Natural Language Semantics","date":"04 May, 2016","time":"00:00","lecturer":"Shay Cohen","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/8a00a747550516ac358482490f5dfb42/1573536_shay_cohen_clasp_seminar.pdf"}},"excerpt":"Probabilistic grammars are an important model family in natural language processing. They are used in the modeling of many problems, mostly…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-04-27/Zhaohui-Luo-MTT-semantics/"},"frontmatter":{"title":"MTT-semantics Is Both Model-theoretic and Proof-theoretic","date":"27 Apr, 2016","time":"00:00","lecturer":"Zhaohui Luo","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/4ec15471bf4ea410eeece4b8f90c4520/1573554_zhaohui_luo_clasp_seminar.pdf"}},"excerpt":"Abstract: In this talk, after briefly introducing the formal semantics in modern type theories (MTT-semantics), I shall argue that it is…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-04-07/Staffan-Larsson-Bayesian/"},"frontmatter":{"title":"Bayesian nets in probabilistic TTR","date":"07 Apr, 2016","time":"00:00","lecturer":"Staffan Larsson","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/5100d98aacdc35db773d3b7180af302d/1570867_staffan_larsson_clasp_seminar16_rev.pdf"}},"excerpt":"Abstract: There is a fair amount of evidence indicating that language acquisition in general crucially relies on probabilistic learning. It…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-03-16/Graeme-Hirst-Who/"},"frontmatter":{"title":"Who decides what a text means? (And what the answer implies for computational linguistics)","date":"16 Mar, 2016","time":"00:00","lecturer":"Graeme Hirst","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/1e471092de9722df4906cc2a1f9a0a1d/1567589_who-decides--gothenburg-2016.pdf"}},"excerpt":"Abstract: Writer-based and reader-based views of text-meaning are reflected by the respective questions \"What is the author trying to tell…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-03-11/John-Kelleher-Attention/"},"frontmatter":{"title":"Attention Models in Deep Learning for Machine Translation","date":"11 Mar, 2016","time":"00:00","lecturer":"John Kelleher","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/e44e07645feeccd3816cabe97826b684/1566795_kelleher-attenspaceinencdec.pdf"}},"excerpt":"Abstract: In the last number of years deep learning models have made a significant impact across a range of fields. Machine Translation is…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-03-09/Stergios-Chatzikyriakidis-Modern/"},"frontmatter":{"title":"Modern Type Theoretical Semantics: Reasoning Using Proof-Assistants","date":"09 Mar, 2016","time":"00:00","lecturer":"Stergios Chatzikyriakidis","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/a5bfb5a9db5e41fb35ae3f0eb862f1a2/1567588_clasptalk-chatzikyriakidis.pdf"}},"excerpt":"Abstract: In this talk, I will discuss the use of Modern Type Theoretical Semantics (MTTs) , i.e. type theories within the tradition of…"}},{"seminar":{"fields":{"slug":"/events/seminars/2016-02-22/Jan-van-Eijck-Modelling/"},"frontmatter":{"title":"Modelling Legal Relations","date":"22 Feb, 2016","time":"00:00","lecturer":"Jan van Eijck","venue":"Gothenburg","duration":"2 hours","slides":{"publicURL":"/static/1716bc07bc41e1c572962073b4fafa3e/1565719_jan-van-eijck-modelling-legal-relations.pdf"}},"excerpt":"Abstract: Jan van Eijck, CWI and ILLC, Amsterdam (http://homepages.cwi.nl/~jve/) (joint work with Fengkui Ju, Beijing Normal University…"}}],"totalCount":154},"defences":{"defences":[{"defence":{"fields":{"slug":"/events/defences/Public defence of Adam Ek's doctoral thesis/"},"frontmatter":{"presented_by":"Adam Ek","title":"Studies in Language Structure using Deep Learning","date":"September 08, 2023","expired":false,"bannerImage":{"publicURL":"/static/fac457c02b9b1d6fd06463ec4c9b94a2/Adam Ek.jpg"}},"excerpt":"Cordially welcome to the public defence of Adam Ek's doctoral thesis on Friday 8 September, at 10:15 in room J222, Faculty of Humanities…"}},{"defence":{"fields":{"slug":"/events/defences/Public defence of Bill Noble's doctoral thesis/"},"frontmatter":{"presented_by":"William Noble","title":"Public defence of William Noble's doctoral thesis","date":"April 20, 2023","expired":null,"bannerImage":{"publicURL":"/static/bf763bb001a6dbeced71064bc4c444d4/Bill.jpg"}},"excerpt":"Cordially welcome to the public defence of William Noble's doctoral thesis on Thursday 20 April, at 13:15 in room J222, Faculty of…"}},{"defence":{"fields":{"slug":"/events/defences/Public defence of Vladislav Maraev's doctoral thesis/"},"frontmatter":{"presented_by":"Vladislav Maraev","title":"Public defence of Vladislav Maraev's doctoral thesis","date":"August 29, 2022","expired":null,"bannerImage":{"publicURL":"/static/08aa909486301bf5172ed770ba4c3334/Vladislav.jpg"}},"excerpt":"Cordially welcome to the public defence of Vladislav Maraev's doctoral thesis on Monday 29 August, at 15:15 in room J439, Humanisten. The…"}},{"defence":{"fields":{"slug":"/events/defences/Public defense of Chatrine Qwaider´s doctoral thesis/"},"frontmatter":{"presented_by":"Chatrine Qwaider","title":"Public defence of Chatrine Qwaider´s doctoral thesis","date":"May 25, 2022","expired":null,"bannerImage":{"publicURL":"/static/4ca5b50e8bf928a82d90fb32714b0d50/Chatrine.jpg"}},"excerpt":"Cordially welcome to the public defence of Chatrine Qwaider´s doctoral thesis on Wednesday May 25, at 15:00 in room J439, Humanisten. The…"}},{"defence":{"fields":{"slug":"/events/defences/Public defence of Wafia Adouane's doctoral thesis/"},"frontmatter":{"presented_by":"Wafia Adouane","title":"Public defence of Wafia Adouane's doctoral thesis","date":"September 02, 2020","expired":true,"bannerImage":{"publicURL":"/static/166cb3808d3313c9551f45d0da01f384/1776555_wafias-bok-500pxl_crop.jpg"}},"excerpt":"Cordially welcome to the public defence of Wafia Adouane's doctoral thesis on Wednesday 2 September, at 17:00 online via Zoom. The title is…"}},{"defence":{"fields":{"slug":"/events/defences/Public defence of Mehdi Ghanimifard's doctoral thesis/"},"frontmatter":{"presented_by":"Mehdi Ghanimifard","title":"Public defence of Mehdi Ghanimifard's doctoral thesis","date":"May 18, 2020","expired":null,"bannerImage":{"publicURL":"/static/117aa95ed4849feef5077b0dfd9b16cd/1771544_mehdi-ghanimifard-900-pxl.jpg"}},"excerpt":"Cordially welcome to the public defence of Mehdi Ghanimifard's doctoral thesis that he will defend on Wednesday 27 May, at 15.15 online via…"}}],"totalCount":6},"conferences":{"conferences":[{"conference":{"fields":{"slug":"/events/conferences/Learning with Small Data (LSD)/"},"frontmatter":{"title":"Learning with Small Data (LSD) Conference","date":"11 Sep, 2023","venue":"Gothenburg University, Humanisten, Renströmsgatan 6, room J222","duration":"2 days"},"excerpt":"Learning with Small Data is a conference organized by the Centre for Linguistic Theory and Studies in Probability (CLASP), https://www.gu.se…"}},{"conference":{"fields":{"slug":"/events/conferences/(Dis)embodiment/"},"frontmatter":{"title":"(Dis)embodiment Conference","date":"15 Sep, 2022","venue":"Hybrid (Gothenburg University, room J335 and online)","duration":"2 days"},"excerpt":"Proceedings (Dis)embodiment is a conference organized by the Centre for Linguistic Theory and Studies in Probability (CLASP), https://www…"}},{"conference":{"fields":{"slug":"/events/conferences/ReInAct2021/"},"frontmatter":{"title":"Reasoning and Interaction Conference","date":"04 Oct, 2021","venue":"Hybrid (Gothenburg University and online)","duration":"2 days"},"excerpt":"Proceedings Reasoning and Interaction (ReInAct) is a conference organized by the Centre for Linguistic Theory and Studies in Probability…"}},{"conference":{"fields":{"slug":"/events/conferences/AINL2019/"},"frontmatter":{"title":"AI and Natural Language Workshop","date":"05 Nov, 2019","venue":"Wallenberg Conference Centre (Gothenburg)","duration":"1 day"},"excerpt":"The Centre for Linguistic Theory and Studies in Probability (CLASP) at the University of Gothenburg and the AI Competence for Sweden…"}},{"conference":{"fields":{"slug":"/events/conferences/IWCS2019/"},"frontmatter":{"title":"13th International Conference on Computational Semantics (IWCS2019)","date":"23 May, 2019","venue":"Wallenberg Conference Center (Gothenburg)","duration":"4 days"},"excerpt":"The 13th International Conference on Computational Semantics (IWCS 2019) will be held at the University of Gothenburg, Sweden on the 23-27th…"}},{"conference":{"fields":{"slug":"/events/conferences/SSDL2018/"},"frontmatter":{"title":"Swedish Symposium on Deep Learning 2018","date":"05 Sep, 2018","venue":"Wallenberg Conference Center (Gothenburg)","duration":"2 days"},"excerpt":"The 2nd Swedish Symposium on Deep Learning will be held at Chalmers\nUniversity of Technology, 5-6 September, 2018. The premier event in…"}},{"conference":{"fields":{"slug":"/events/conferences/dialogue-and-percetion-workshop/"},"frontmatter":{"title":"Workshop on Dialogue and Perception 2018","date":"14 Jun, 2018","venue":"Wallenberg Conference Centre (Gothenburg)","duration":"2 days"},"excerpt":"proceedings Call for papers Registration Accomodation Invited abstracts Programme The study of dialogue investigates how natural language…"}},{"conference":{"fields":{"slug":"/events/conferences/gothenburg-stockholm-workshop/"},"frontmatter":{"title":"Gothenburg-Stockholm Workshop on Proof Theory, Model Theory, and Probability in Natural Language","date":"07 Feb, 2018","venue":"Room L100, Lennart Torstenssonsgatan 6 (Gothenburg)","duration":"1 day"},"excerpt":"The Gothenburg-Stockholm Workshop on Proof Theory, Model Theory, and Probability in Natural Language is organized by CLASP, FLoV, University…"}},{"conference":{"fields":{"slug":"/events/conferences/LaML/"},"frontmatter":{"title":"Conference on Logic and Machine Learning in Natural Language (LaML)","date":"12 Jun, 2017","venue":"Gothenburg","duration":"2 days"},"excerpt":"We are very happy to announce the first official conference organized by CLASP, Logic and Machine Learning in Natural Language (LaML). The…"}},{"conference":{"fields":{"slug":"/events/conferences/inaguration/"},"frontmatter":{"title":"Language and Probability: The CLASP Inauguration Workshop","date":"27 Aug, 2015","venue":"Gothia Towers (Gothenburg)","duration":"1 day"},"excerpt":"Programme Registration Speakers and Abstracts Videos Proceedings The Centre for Linguistic Theory and Studies in Probability (CLASP) at the…"}}],"totalCount":10},"workshops":{"workshops":[{"workshop":{"fields":{"slug":"/events/workshops/workshops/"},"frontmatter":{"title":"Workshop on Dialogue and Perception 2018","date":"14 Jun, 2018","cordinators":"The Tenth Scandinavian Logic Symposium","venue":" Wallenberg Conference Centre, University of Gothenburg","duration":"2 days"},"excerpt":"The study of dialogue investigates how natural language is used in interaction between interlocutors and how coordination and successful…"}}],"totalCount":1}},"pageContext":{}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/events/conferences/(Dis)embodiment/page-data.json b/page-data/events/conferences/(Dis)embodiment/page-data.json
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@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-conference-template-js","path":"/events/conferences/(Dis)embodiment/","result":{"data":{"markdownRemark":{"html":"
(Dis)embodiment is a conference organized by the Centre for Linguistic Theory and Studies in Probability (CLASP), https://www.gu.se/en/clasp at the Department of Philosophy, Linguistics and Theory of Science (FLoV). It is sponsored by SIGSEM http://sigsem.org, the ACL special interest group on semantics. The conference will be held between September 15 to September 16.
\n
(Dis)embodiment will bring together researchers from various areas looking to answer the question of the role of grounding and embodiment in modelling human language tasks and behaviour -- or limits thereof. The conference is open to viewpoints from machine learning, computational linguistics, theoretical linguistics and philosophy, cognitive science and psycholinguistics, as well as artificial intelligence ethics and policy. We hope to see technical contributions and the full spectrum of reasoned debate. For more info visit: https://sites.google.com/view/disembodiment/home.
","frontmatter":{"title":"(Dis)embodiment Conference","duration":"2 days","date":"15 Sep, 2022","venue":"Hybrid (Gothenburg University, room J335 and online)","externalSite":null,"proceedings":null},"fields":{"slug":"/events/conferences/(Dis)embodiment/"}}},"pageContext":{"slug":"/events/conferences/(Dis)embodiment/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/events/conferences/AINL2019/page-data.json b/page-data/events/conferences/AINL2019/page-data.json
new file mode 100644
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+{"componentChunkName":"component---src-templates-conference-template-js","path":"/events/conferences/AINL2019/","result":{"data":{"markdownRemark":{"html":"
The Centre for Linguistic Theory and Studies in Probability (CLASP) at the University of Gothenburg and the AI Competence for Sweden Initiative are organizing an one day workshop on AI and Natural Language. The aim of the workshop will be to present cutting edge research in Natural Language Processing and Computational Linguistics and bring together researchers and industrial partners mainly from Sweden and the Nordic countries, in order to discuss issues of mutual interest related to AI and Natural Language. The workshop is going to take place on the 5th of November 2019 at the Wallenberg Conference Centre in Gothenburg.
","frontmatter":{"title":"AI and Natural Language Workshop","duration":"1 day","date":"05 Nov, 2019","venue":"Wallenberg Conference Centre (Gothenburg)","externalSite":"https://sites.google.com/view/ainl2019/home","proceedings":null},"fields":{"slug":"/events/conferences/AINL2019/"}}},"pageContext":{"slug":"/events/conferences/AINL2019/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/events/conferences/IWCS2019/page-data.json b/page-data/events/conferences/IWCS2019/page-data.json
new file mode 100644
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--- /dev/null
+++ b/page-data/events/conferences/IWCS2019/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-conference-template-js","path":"/events/conferences/IWCS2019/","result":{"data":{"markdownRemark":{"html":"
The 13th International Conference on Computational Semantics (IWCS 2019) will be held at the University of Gothenburg, Sweden on the 23-27th May 2019. For more info visit the conference's official website
","frontmatter":{"title":"13th International Conference on Computational Semantics (IWCS2019)","duration":"4 days","date":"23 May, 2019","venue":"Wallenberg Conference Center (Gothenburg)","externalSite":"https://sites.google.com/view/iwcs2019/home","proceedings":"https://www.aclweb.org/anthology/sigs/sigsem/"},"fields":{"slug":"/events/conferences/IWCS2019/"}}},"pageContext":{"slug":"/events/conferences/IWCS2019/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/conferences/LaML/page-data.json b/page-data/events/conferences/LaML/page-data.json
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index 0000000000..84188a4225
--- /dev/null
+++ b/page-data/events/conferences/LaML/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-conference-template-js","path":"/events/conferences/LaML/","result":{"data":{"markdownRemark":{"html":"
We are very happy to announce the first official conference organized by CLASP, Logic and Machine Learning in Natural Language (LaML). The conference hopes to bring together researchers working in both logical and machine learning/deep learning approaches to Computational Linguistics. We aim at initiating a discussion with the two sets of researchers that have been largely unconnected up to now. The conference will take place on June the 12th-14th 2017 in Gothenburg, Sweden. For more information please take a look here.
\n
Call for Papers
\n
Conference on Logic and Machine Learning in Natural Language (LaML)
\n
\n
Conference dates: June 12-14, 2017
\n
Venue: Wallenberg Conference Centre, University of Gothenburg
\n
Organised by CLASP, University of Gothenburg
\n
\n
The past two decades have seen impressive progress in a variety of areas of AI, particularly NLP, through the application of machine learning methods to a wide range of tasks. With the intensive use of deep learning methods in recent years this work has produced significant improvements in the coverage and accuracy of NLP systems in such domains as speech recognition, topic identification, semantic interpretation, and image description generation.
\n
While deep learning is opening up exciting new approaches to longstanding, difficult problems in computational linguistics, it also raises important foundational questions. Specifically, we do not have a clear formal understanding of why multi-level recursive deep neural networks achieve the success in learning and classification that they are delivering. It is also not obvious whether they should displace more traditional, logically driven methods, or be combined with them. Finally, we need to explore the extent, if any, to which both logical models and machine learning methods offer insights into the cognitive foundations of natural language.
\n
The Conference on Logic and Machine Learning in Natural Language will address these questions and related issues. It will feature invited talks by leading researchers in both fields, and high level contributed papers selected through open competition and rigorous review. Our aim is to initiated a genuine dialogue between these two approaches, where they have traditionally remained separate and in competition.
\n
The conference proceedings will be published online, with an ISSN, on the CLASP website. Authors will retain the copyright of their papers and be free to publish them elsewhere, with acknowledgement.
\n
Registration is free and participation is open. We warmly invite everyone to attend.
\n
Invited Speakers:
\n
\n
Marco Baroni, Trento
\n
Alexander Clark, King’s College London
\n
Devdatt Dubhashi, Chalmers
\n
Katrin Erk, University of Texas, Austin
\n
Joakim Nivre, Uppsala
\n
Aarne Ranta, Gothenburg
\n
Mehrnoosh Sadrzadeh, Queen Mary University of London
We anticipate accepting 17 papers for oral presentation, and up to 20 papers for poster presentation.
\n
Important dates:
\n\n
Deadline for submission: April 4, 2017
\n
Extended deadline for submission: April 14, 2017
\n
Notification of authors: April 27, 2017
\n
Camera ready papers due: May 9, 2017
\n\n
The LaML Programme Committee:
\n
\n
Marco Baroni, Trento
\n
Islam Beltagy, University of Texas, Austin
\n
Jean-Philippe Bernardy, Gothenburg
\n
Gemma Boleda, Universitat Pompeu Fabra
\n
Stergios Chatzikyriakidis, Gothenburg
\n
Alexander Clark, King’s College London
\n
Robin Cooper, Gothenburg
\n
Simon Dobnik, Gothenburg
\n
Devdatt Dubhashi, Chalmers
\n
Katrin Erk, University of Texas, Austin
\n
Julian Hough, Bielefeld
\n
Christine Howes, Gothenburg
\n
John D. Kelleher, Dublin Institute of Technology
\n
Shalom Lappin, Gothenburg
\n
Staffan Larsson, Gothenburg
\n
Julian Michael, Washington
\n
Joakim Nivre, Uppsala
\n
Stephan Oepen, Oslo
\n
Barbara Plank, Groningen
\n
Matthew Purver, Queen Mary University of London
\n
Aarne Ranta, Gothenburg
\n
Mehrnoosh Sadrzadeh, Queen Mary University of London
\n
Anders Søgaard, Copenhagen
\n
Charalambos Themistocleous, Gothenburg
\n
","frontmatter":{"title":"Conference on Logic and Machine Learning in Natural Language (LaML)","duration":"2 days","date":"12 Jun, 2017","venue":"Gothenburg","externalSite":null,"proceedings":"https://gupea.ub.gu.se/handle/2077/54911"},"fields":{"slug":"/events/conferences/LaML/"}}},"pageContext":{"slug":"/events/conferences/LaML/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/conferences/Learning with Small Data (LSD)/page-data.json b/page-data/events/conferences/Learning with Small Data (LSD)/page-data.json
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index 0000000000..1d906a66d8
--- /dev/null
+++ b/page-data/events/conferences/Learning with Small Data (LSD)/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-conference-template-js","path":"/events/conferences/Learning with Small Data (LSD)/","result":{"data":{"markdownRemark":{"html":"
Learning with Small Data is a conference organized by the Centre for Linguistic Theory and Studies in Probability (CLASP), https://www.gu.se/en/clasp at the Department of Philosophy, Linguistics and Theory of Science (FLoV). The conference will be held between September 11 to September 12.
\n
There is now an acute need for intensive research on the possibility of effective learning with small data. Our 2023 conference, LSD, is devoted to work on this problem, with application to computational linguistics.
\n
Why is there this need? Current deep learning systems require large amounts of data in order to yield optimal results. Neural language models are now trained on many billions of parameters, with data sets that are terabytes in size. Despite this, they have achieved remarkable success across a wide range of tasks in Natural Language Processing, and in AI generally. But these systems have a number of limitations which require closer attention:
\n
First, the models take a long time to pretrain, and they are difficult to modify. As a result, much research in NLP is shaped by what one can achieve with large transformers. This has marginalised important computational learning questions for which they are not well suited.
\n
Second, because of the heavy resources required to develop them, they have become the preserve of tech companies. Researchers at most universities and smaller centres are now positioned as consumers of these systems, limited to fine tuning them for experimental work on downstream tasks.
\n
Third, the complexity, size, and mode of computation of transformers has rendered the way in which they acquire the generalisations extracted from data largely opaque. This has made it difficult to understand precisely why they succeed, or fail, where they do.
\n
Finally, comparison with human learning and representation has become increasingly difficult, given the large disparity in accessible data and learning time between transformers and humans. Therefore, the cognitive interest of deep learning has receded.
\n
These reasons alone are sufficient to motivate us at CLASP to bring fellow researchers together for an organized discussion. We welcome original contributions in all areas of NLP and related domains of AI that address aspects of this issue.
","frontmatter":{"title":"Learning with Small Data (LSD) Conference","duration":"2 days","date":"11 Sep, 2023","venue":"Gothenburg University, Humanisten, Renströmsgatan 6, room J222","externalSite":null,"proceedings":null},"fields":{"slug":"/events/conferences/Learning with Small Data (LSD)/"}}},"pageContext":{"slug":"/events/conferences/Learning with Small Data (LSD)/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/conferences/ReInAct2021/page-data.json b/page-data/events/conferences/ReInAct2021/page-data.json
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--- /dev/null
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@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-conference-template-js","path":"/events/conferences/ReInAct2021/","result":{"data":{"markdownRemark":{"html":"
Reasoning and Interaction (ReInAct) is a conference organized by the Centre for Linguistic Theory and Studies in Probability (CLASP), https://www.gu.se/en/clasp at the Department of Philosophy, Linguistics and Theory of Science (FLoV), https://www.gu.se/flov/english. It is sponsored by SIGSEM http://sigsem.org, the ACL special interest group on semantics. The ReInAct conference proceedings will be published online in the ACL Anthology for 2021 as a SIGSEM workshop event. The conference will also include a shared task on Natural Language Inference in Dialogue.
\n
ReInAct will bring together researchers interested in computationally relevant approaches to reasoning and interaction in natural language. ReInAct is open to Machine Learning, Symbolic and Experimental approaches, as well as combinations of these. For more info visit: https://sites.google.com/view/reinact2021/home
","frontmatter":{"title":"Reasoning and Interaction Conference","duration":"2 days","date":"04 Oct, 2021","venue":"Hybrid (Gothenburg University and online)","externalSite":null,"proceedings":null},"fields":{"slug":"/events/conferences/ReInAct2021/"}}},"pageContext":{"slug":"/events/conferences/ReInAct2021/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/events/conferences/SSDL2018/page-data.json b/page-data/events/conferences/SSDL2018/page-data.json
new file mode 100644
index 0000000000..cc9cd6c9bc
--- /dev/null
+++ b/page-data/events/conferences/SSDL2018/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-conference-template-js","path":"/events/conferences/SSDL2018/","result":{"data":{"markdownRemark":{"html":"
The 2nd Swedish Symposium on Deep Learning will be held at Chalmers\nUniversity of Technology, 5-6 September, 2018.
\n
The premier event in Sweden bringing together top researchers in Deep\nLearning across academia and industry. This year there will be thematic\nsessions on Vision, Natural Language Technologies and Health\nEngineering, three of the most high impact areas for Deep Learning\ntoday.
Organised by Chalmers Area of Advance Information and Communication\nTechnology, Chalmers Department of Computer Science and Engineering, and\nCLASP at University of Gothenburg. For more info, have a look\nhere.
\n
\n
Location: Wallenberg Conference Center, Medicinaregatan 20, Gothenburg
","frontmatter":{"title":"Swedish Symposium on Deep Learning 2018","duration":"2 days","date":"05 Sep, 2018","venue":"Wallenberg Conference Center (Gothenburg)","externalSite":null,"proceedings":null},"fields":{"slug":"/events/conferences/SSDL2018/"}}},"pageContext":{"slug":"/events/conferences/SSDL2018/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/events/conferences/dialogue-and-percetion-workshop/accomodation/page-data.json b/page-data/events/conferences/dialogue-and-percetion-workshop/accomodation/page-data.json
new file mode 100644
index 0000000000..4023d0f768
--- /dev/null
+++ b/page-data/events/conferences/dialogue-and-percetion-workshop/accomodation/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-conference-template-js","path":"/events/conferences/dialogue-and-percetion-workshop/accomodation/","result":{"data":{"markdownRemark":{"html":"
Accommodation and other useful information
\n
Accomodation
\n
We have negotiated a special rate with the following hotel:
\n\n
Hotel Gothia Towers. Book a room by\nemail or call at 031-7508810. State\nthe following: Booking code: C/GOTE 130618.grp. NB! Only 6 available\nrooms, between the 13-15th June, bookable until 30/5!
\n\n
Other hotel suggestions: \nHotel Lorensberg \nBerzeliigatan 15 \nPhone: 031 -81 06 00 \nE-mail: info@hotel-lorensberg.se \nwww.hotel-lorensberg.se
Gothia Towers is located a 15 minute walk from the train station -\nGothenburg\nCentralstation.\nFrom the Gothenburg Centralstation you can also take trams number 2\n(direction: Krokslätt) or 4 (direction: Mölndal) and get off at tram\nstop Korsvägen/Svenska Mässan.
\n
Airport
\n
Landvetter Airport is located 20km from Gothenburg. The airport shuttle\nservice to Gothenburg city departs about every 15 minutes and is very\nconvenient. For schedule and ticket information, see\nhere. Get off at bus stop\nKorsvägen/Svenska Mässan for Gothia Towers or Nils Ericson Terminalen (Göteborg C) for Gothenburg city.
\n
Taxi
\n
The journey from the airport to the city takes 30 minutes. We recommend\nTaxi Göteborg: +46 (0)31-650 000.\nIf you are going directly to the workshop venue the address is\nMedicinaregatan 20A. If you are going to Gothia Towers the address is\nMässans gata 24.
\n
Workshop Venue
\n
The workshop will take place at the Wallenberg Conference\nCentre.\nThe Wallenberg Conference Centre is located at Medicinareberget, just\nabove Sahlgrenska Hospital. The facility is handicap-accessible and\nenvironmentally certified.
\n
Getting to the Wallenberg Centre
\n
From Gothia Towers: There are several tram options i.e. tram no. 6, 8\nand 13. Get on the tram at Korsvägen outside the hotel and stop\nat Medicinaregatan. The trip will take about 8 minutes. Then it\nis approximately 5 minutes walk to the conference centre. Follow\nMedicinaregatan, pass the allotment gardens, continue half way up the\nhill until you reach the conference centre to your right. See\nhere\nfor a map of the journey.
\n
We recommend the app Västtrafik To Go,\na simple way to purchase tickets with your mobile phone. Other ways to purchase tickets can be found here.
","frontmatter":{"title":"Workshop on Dialogue and Perception 2018","duration":"2 days","date":"14 Jun, 2018","venue":"Wallenberg Conference Centre (Gothenburg)","externalSite":null,"proceedings":null},"fields":{"slug":"/events/conferences/dialogue-and-percetion-workshop/accomodation/"}}},"pageContext":{"slug":"/events/conferences/dialogue-and-percetion-workshop/accomodation/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/conferences/dialogue-and-percetion-workshop/call/page-data.json b/page-data/events/conferences/dialogue-and-percetion-workshop/call/page-data.json
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Call for papers
\n
We invite anonymous papers of between 2-4 pages of content and up to one\nadditional page for references, following the ACL style guidelines. The\nconference proceedings will be published online, with an ISSN, on the\nCLASP website. Authors will have the opportunity to extend their papers\nfor the post-proceedings and will retain the copyright of their papers\nand be free to publish them elsewhere, with acknowledgement.
\n
Registration is free and participation is open. We warmly invite\neveryone to attend. In order to secure your place please register here\n(available soon).
1. Deadline for submission: 2: April 26, 2018 (Submission 1: April 4,\n2018)
\n
2. Notification of acceptance: 2: May 14, 2018 (Submission 1: April 20,\n2018)
\n
3. Camera ready papers due: 2: May 31, 2018 (Submission 1: May 2, 2018)
\n
4. Workshop date: June 14-15, 2018
\n
Invited Speakers (confirmed so far):
\n
Jacob Andreas, University of California, Berkeley
\n
Laura Carlson, University of Notre Dame
\n
Mary Ellen Foster, University of Glasgow
\n
Pat Healey, Queen Mary University of London
\n
John D. Kelleher, Dublin Institute of Technology, Ireland
\n
Ruth Kempson, King's College, London
\n
Per Linell, University of Gothenburg
\n
Gabriel Skantze, KTH Royal Institute of Technology, Stockholm
\n
Programme co-chairs:
\n
Christine Howes, CLASP
\n
Simon Dobnik, CLASP
\n
Programme Committee (confirmed so far):
\n
Ellen Breitholtz - University of Gothenburg
\n
Joyce Chai - Michigan State University
\n
Simon Dobnik - University of Gothenburg (Programme co-chair)
\n
Arash Eshghi - Heriot Watt University, Edinburgh
\n
Kallirroi Georgila - University of Southern California
\n
Jennifer Gerwing - Akershus University Hospital, Oslo
\n
Jonathan Ginzburg - Universite Paris-Diderot, Paris 7
\n
Eleni Gregoromichelaki - Heinrich Heine University, Dusseldorf
\n
Judith Holler - Max Planck
\n
Christine Howes - University of Gothenburg (Programme co-chair)
\n
John Kelleher - Dublin Institute of Technology
\n
Nikhil Krishnaswamy - Brandeis University
\n
Staffan Larsson - University of Gothenburg
\n
Greg Mills - Groningen University
\n
James Pustejovsky - Brandeis University
\n
David Schlangen - Bielefeld University
\n
Candy Sidner - Worcester Polytechnic Institute
\n
Matthew Stone - Rutgers
\n
lelka van der Sluis - University of Groningen
\n
Diedrich Wolter - University of Bamberg
","frontmatter":{"title":"Workshop on Dialogue and Perception 2018","duration":"2 days","date":"14 Jun, 2018","venue":"Wallenberg Conference Centre (Gothenburg)","externalSite":null,"proceedings":null},"fields":{"slug":"/events/conferences/dialogue-and-percetion-workshop/call/"}}},"pageContext":{"slug":"/events/conferences/dialogue-and-percetion-workshop/call/"}},"staticQueryHashes":["3875542623"]}
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","frontmatter":{"title":"Workshop on Dialogue and Perception 2018","duration":"2 days","date":"14 Jun, 2018","venue":"Wallenberg Conference Centre (Gothenburg)","externalSite":null,"proceedings":null},"fields":{"slug":"/events/conferences/dialogue-and-percetion-workshop/invited-abstracts/"}}},"pageContext":{"slug":"/events/conferences/dialogue-and-percetion-workshop/invited-abstracts/"}},"staticQueryHashes":["3875542623"]}
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The study of dialogue investigates how natural language is used in interaction between interlocutors and how coordination and successful communication is achieved. Dialogue is multimodal, situated and embodied, with non-linguistic factors such as attention, eye gaze and gesture critical to understanding communication. However, studies on dialogue and computational models such as dialogue systems have often taken for granted that we align our perceptual representations, which are taken to be part of common ground (grounding in dialogue, Clark, 1996). They have also typically remained silent about how we integrate information from different sources and modalities and the different contribution of each of these. These assumptions are unsustainable when we consider interactions between agents with obviously different perceptual capabilities, as in the case in dialogues between humans and artificial agents, such as avatars or robots.
\n
Contrarily, studies of perception have focussed on how an agent interacts with and interprets the information from their perceptual environment. There is significant research on how language is grounded in perception, how words are connected to perceptual representations and agent's actions and therefore assigned meaning (grounding in action and perception, Harnad, 1990). In the last decade there has been impressive progress on integrated computational approaches to language, action, and perception, especially with the introduction of deep learning methods in the field of image descriptions that use end-to-end training from data. However, these have a limited integration to the dynamics of dialogue and often fail to take into account the incremental and context sensitive nature of language and the environment.
\n
The aim of this workshop is to initiate a genuine dialogue between these related areas and to examine different approaches from computational, linguistic and psychological perspectives and how these can inform each other. It will feature invited talks by leading researchers in these areas, and high level contributed papers, presented as posters, selected through open competition and rigorous review.
","frontmatter":{"title":"Workshop on Dialogue and Perception 2018","duration":"2 days","date":"14 Jun, 2018","venue":"Wallenberg Conference Centre (Gothenburg)","externalSite":null,"proceedings":null},"fields":{"slug":"/events/conferences/dialogue-and-percetion-workshop/"}}},"pageContext":{"slug":"/events/conferences/dialogue-and-percetion-workshop/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/conferences/dialogue-and-percetion-workshop/programme/page-data.json b/page-data/events/conferences/dialogue-and-percetion-workshop/programme/page-data.json
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Thursday 14th of June \n09:00 - 09:45 Registration + coffee \nPosters for Poster Session 1 are put up \n09:45 - 10:00 Introductory remarks \n10:00 - 12:00 Session 1 -- Interaction; Chair: Stergios\nChatzikyriakidis \n10:00 - 10:45: Ruth\nKempson \n10:45 - 11.30: Gabriel\nSkantze \n11:30 - 12:00: Discussion \n12:00 - 13:00 Lunch \n13:00 - 14:00 Poster Session 1 (which flows into) \n14:00 - 14:30 Coffee break \n14:30 - 16:30 Session 2 -- Sociality; Chair: Ellen Breitholtz \n14:30 - 15:15: Per\nLinell \n15:15 - 16:00: Mary Ellen\nFoster \n16:00 - 16:30: Discussion \n16:30 - 17:00 Concluding remarks \n17:30 - A tram tour of Gothenburg followed by a workshop dinner\\
\n
Posters for Poster Session 1
\n
1. Ellen Breitholtz and Robin Cooper. Relating coordination in\nnon-linguistic games and dialogue games
\n
2. Anna Jia Gander and Pierre Gander. Perceiving understanding through\nunimodal and multimodal micro-feedback in dialogue
\n
3. Staffan Larsson. Perceptual semantics and dialogue processing
\n
4. Mary Lavelle, Gabriel Reedy, Thomas Simpson and Janet E Anderson. The\nchallenge of challenging others: Negotiation of performance feedback in\ninterprofessional clinical teams
\n
5. Chiara Mazzocconi, Vladislav Maraev, Christine Howes and Jonathan\nGinzburg. Analysis of laughables: a preliminary perception study
\n
6. Ilya Utekhin. Learning to Talk with Robots: Turn-Taking in\nChildren's Talk to Artificial Partner\\
17:30 - ... (Drinks at a nearby bar followed by a dinner (at self\ncost))\\
\n
Posters for Poster Session 2
\n
1. Diane Bouchacourt and Marco Baroni. Understanding inner\nrepresentations of perceptual data in grounded multi-agent simulations
\n
2. Julian Hough, Lorenzo Jamone, David Schlangen, Guillaume Walck and\nRobert Haschke. Towards a Types-As-Classifiers Approach to Dialogue\nProcessing in Human-Robot Interaction
\n
3. Mary Lavelle, Christine Howes, Patrick Gt Healey and Rosemarie\nMcCabe. Are we having a laugh? Analysis of Conversational Laughter in\nSchizophrenia
\n
4. Robert Ross and Kavita Thomas. Perception & Perspective: An Analysis\nof Discourse and Situational Factors in Reference Frame Selection
\n
5. Yanchao Yu, Arash Eshghi and Oliver Lemon. An Incremental Dialogue\nSystem for Learning Visually Grounded Word Meanings (demonstration\nsystem)
","frontmatter":{"title":"Workshop on Dialogue and Perception 2018","duration":"2 days","date":"14 Jun, 2018","venue":"Wallenberg Conference Centre (Gothenburg)","externalSite":null,"proceedings":null},"fields":{"slug":"/events/conferences/dialogue-and-percetion-workshop/programme/"}}},"pageContext":{"slug":"/events/conferences/dialogue-and-percetion-workshop/programme/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/conferences/dialogue-and-percetion-workshop/registration/page-data.json b/page-data/events/conferences/dialogue-and-percetion-workshop/registration/page-data.json
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Registration
\n
Registration is free and participation is open. We warmly invite\neveryone to attend. In order to secure your place please register\nhere.
","frontmatter":{"title":"Workshop on Dialogue and Perception 2018","duration":"2 days","date":"14 Jun, 2018","venue":"Wallenberg Conference Centre (Gothenburg)","externalSite":null,"proceedings":null},"fields":{"slug":"/events/conferences/dialogue-and-percetion-workshop/registration/"}}},"pageContext":{"slug":"/events/conferences/dialogue-and-percetion-workshop/registration/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/conferences/gothenburg-stockholm-workshop/page-data.json b/page-data/events/conferences/gothenburg-stockholm-workshop/page-data.json
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The Gothenburg-Stockholm Workshop on Proof Theory, Model Theory, and Probability in Natural Language is organized by CLASP, FLoV, University of Gothenburg. It will take place at Room L100, Lennart Torstenssonsgatan 6 on February 7, 2018. The workshop program is as follows:
\n
(important note: due to unforeseen circumstances, Per Martin-Löf will not be able to give his talk. The program will start a bit later as shown below)
\n
10:00-11:00: Peter Pagin, University of Stockholm
\n
Compositionality, Computability, and Complexity
\n
The standard argument for the claim that natural languages have a compositional semantics proceed from the need of hearers to compute the meaning of novel complex expressions. But computability does not entail compositionality. Is there a reason for believing that natural languages have a semantics that is both computable and compositional? Yes, for it turns out that keeping the complexity of semantic interpretation low requires a compositional semantics. We shall look at the notionof a recursive semantic function, and provide a framework for estimating the time complexity of semantics by means of term rewriting systems.
\n
11:00-11:30: Fika
\n
11:30-12:30: Dag Westerståhl, University of Stockholm
\n
Making Exceptions (joint work with Stanley Peters)
\n
We present a novel account of the semantics of “except\", in phrases of the form \"Det N except NP\". The account is based on careful analysis of the notions of generalization and exceptions to generalizations. It improves on earlier analyses, in particular von Fintel (1993), Moltmann (1995), and Peters and Westerståhl (2006), as regards both simplicity and empirical correctness. And it covers universal as well as non-universal generalizations with exceptions; the ubiquity of the latter was first observed by García-Álvarez (2003).
\n
12:30-13:30: lunch (light sandwich lunch on site)
\n
13:30-14:10: Thierry Coquand, Chalmers University of Technology
\n
Sheaf Models of Type Theory
\n
Sheaf/Beth models have been essential for the meta-theory of higher order logic (Church’s simple theory of types). In this talk, we explore a formulation of this notion of models for dependent type theory. We explain the main difficulty, which is how to model the notion of universes, and why the situation is there more complex than for presheaf/Kripke models. We then mention three potential applications: consistency with Brouwer’s fan theorem, extension of type theory with a type of indiscernable atoms, and finally an extension of type theory with probabilistic proofs/programs.
\n
14:10-14:50: Aarne Ranta University of Gothenburg
\n
Concept Alignment for Compositional Translation
\n
Translation between natural languages is not compositional in a naive word-to-word sense. But many problems can be solved by using higher-level concepts, implementable as abstract syntax constructors in type theory together together with compositional linearization functions in Grammatical Framework (GF). The question then arises: what are these constructors for a given set of languages? A whole spectrum of possibilities suggests itself: word senses (as in WordNet), multiword phrases (as in statistical machine translation), predication frames (as in FrameNet), syntactic deep structures (as in GF Resource Grammar Library), and lexico-syntactic constructions (as in Construction Grammar). The talk will study the problem in the light of experiences for building a cross-lingual lexicon of concepts in the General Data Protection Regulation (GDPR) in five languages. We have identified over 3000 concepts of varying complexity. A lot of manual work has been needed in the process, but some ideas have emerged toward a computational approach that can suggest concept alignments by automated analysis.
\n
14:50-15:10: fika
\n
15:10-15:50: Staffan Larsson, Robin Cooper, Simon Dobnik, and Shalom Lappin, University of Gothenburg,
\n
Bayesian Classification and Learning in ProbTTR
\n
We presented a probabilistic type theory in Cooper et. al. (2014 and 2015), which extends Cooper's Type Theory with Records (Cooper 2012). This theory, Probabilistic Type Theory with Records (ProbTTR), assigns probability values, rather than Boolean truth-values, to type judgements. In this paper we suggest a way of incorporating a Bayesian inference, classification and learning theory into ProbTTR.
\n
15:50-16:30: Jean Phililppe Bernardy, University of Gothenburg
\n
A fuzzy type-theory and elementary remarks about probabilistic logics
\n
In this talk I will present a simple extension to type theory which makes it suitable for fuzzy reasoning. The idea is to associate weights with propositions and propagate them suitably in the typing rules. This weight-propagation has been proposed earlier to accommodate linear-style variants of type theory (McBride 2016). The variant presented here is essentially a relaxation. If time allows I will also make some remarks about probabilistic logics, outlining certain constraints that they should obey. The hop is to highlight certain difficulties that one might face when devising a probabilistic logic.
\n
16:30-17:00: fika
\n
17:00-18:30: Discussion of Workshop topics
\n
19:00: Dinner for Workshop participants
","frontmatter":{"title":"Gothenburg-Stockholm Workshop on Proof Theory, Model Theory, and Probability in Natural Language","duration":"1 day","date":"07 Feb, 2018","venue":"Room L100, Lennart Torstenssonsgatan 6 (Gothenburg)","externalSite":null,"proceedings":null},"fields":{"slug":"/events/conferences/gothenburg-stockholm-workshop/"}}},"pageContext":{"slug":"/events/conferences/gothenburg-stockholm-workshop/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/conferences/inaguration/page-data.json b/page-data/events/conferences/inaguration/page-data.json
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The Centre for Linguistic Theory and Studies in Probability (CLASP) at the Department of Philosophy, Linguistics and Theory of Science, University of Gothenburg hosted a one-day workshop to inaugurate the Centre on Thursday 27th August 2015 at Gothia Towers.
\n
The workshop focused on core areas of CLASP's research mission. It featured short talks by representatives from the university, the Swedish Research Council, CLASP researchers, and members of CLASP's international Scientific Advisory Committee.
","frontmatter":{"title":"Language and Probability: The CLASP Inauguration Workshop","duration":"1 day","date":"27 Aug, 2015","venue":"Gothia Towers (Gothenburg)","externalSite":null,"proceedings":null},"fields":{"slug":"/events/conferences/inaguration/"}}},"pageContext":{"slug":"/events/conferences/inaguration/"}},"staticQueryHashes":["3875542623"]}
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09:00 - 09:30 Introducing CLASP (Shalom Lappin, Christina Thomsen Thörnqvist (Prefekt, FLOV), Margareta Hallberg (Dean, Faculty of Arts), Grants and Innovation Office representative)
\n
09:30 - 10:00 Coffee break
\n
10:00 - 10:30 Shalom Lappin, King's College London and University of Gothenburg: A Probabilistic View of Grammaticality Joint work with Jey Han Lau and Alexander Clark, King's College London
\n
10:30 - 11:00 Alex Clark, King's College London: Learning Syntactic Structure: Weak Learning, Strong Learning and Canonical Grammars
\n
11:00 - 11:15 Break
\n
11:15 - 11:45 Aarne Ranta, Chalmers University of Technology: What are grammars good for?
\n
11:45 - 12:15 Joakim Nivre, Uppsala University: Towards a Universal Grammar for Natural Language Processing
\n
12:15 - 13:00 Lunch
\n
13:00 - 13:30 Charalambos Themistocleous, University of Gothenburg and Princeton University: Learning Linguistic Categories from Acoustic Structure: Towards a Speech Time Frequency Model
\n
13:30 - 14:00 Lars Borin, University of Gothenburg: Multi-word expressions - eels in sheep’s clothing?
\n
14:00 - 14:15 Break
\n
14:15 - 14:45 Devdatt Dubhashi, Chalmers University of Technology: Distributed representations in NLP
\n
14:45 - 15:15 Chris Howes and Ellen Breitholtz, University of Gothenburg: Incremental Reasoning in Dialogue (IncReD), work with Robin Cooper
\n
15:15 - 15:45 Coffee break
\n
15:45 - 16:15 Staffan Larsson, University of Gothenburg: Vagueness and Learning in Probabilistic TTR, work with Raquel Fernandez
\n
16:15 - 16:45 Katrin Erk, University of Texas at Austin: Semantics as a Heterogeneous Mess, and How to Reason Over It
\n
16:45 - 17:00 Break
\n
17:00 - 17:30 Simon Dobnik, University of Gothenburg: On Interfacing Language, Spatial Perception, Dialogue, and Cognition
\n
17:30 - 18:00 Stergios Chatzikyriakidis, University of Gothenburg: Modern Type Theoretical Semantics, Inference and Probability Theory
\n
18:00 - 18:15 Robin Cooper, University of Gothenburg: Final remarks
\n
","frontmatter":{"title":"Language and Probability: The CLASP Inauguration Workshop","duration":"1 day","date":"27 Aug, 2015","venue":"Gothia Towers (Gothenburg)","externalSite":null,"proceedings":null},"fields":{"slug":"/events/conferences/inaguration/programme/"}}},"pageContext":{"slug":"/events/conferences/inaguration/programme/"}},"staticQueryHashes":["3875542623"]}
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There is no registration fee, and everyone is welcome. However, places are limited due to the size of the room. Please register at http://goo.gl/forms/vvRDbdOh9k to insure your participation. If you are travelling from outside Gothenburg, please refer to the local information for goDIAL.
\n
For questions and further information, contact Simon Dobnik.
","frontmatter":{"title":"Language and Probability: The CLASP Inauguration Workshop","duration":"1 day","date":"27 Aug, 2015","venue":"Gothia Towers (Gothenburg)","externalSite":null,"proceedings":null},"fields":{"slug":"/events/conferences/inaguration/registration/"}}},"pageContext":{"slug":"/events/conferences/inaguration/registration/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/conferences/inaguration/speakers-and-abstracts/page-data.json b/page-data/events/conferences/inaguration/speakers-and-abstracts/page-data.json
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Stegios Chatzikyriakidis, University of Gothenburg, CLASP member
\n
Alexander Clark, King's College London, CLASP Scientific Advisory\nCommittee
\n
Simon Dobnik, University of Gothenburg, CLASP member
\n
Devdatt Dubhashi, Chalmers University of Technology
\n
Katrin Erk, University of Texas at Austin, CLASP Scientific Advisory\nCommittee
\n
Grants and Innovation Office representative, University of\nGothenburg
\n
Margareta Hallberg, Dean, Faculty of Arts
\n
Chris Howes, University of Gothenburg
\n
Shalom Lappin, University of Gothenburg and King's College London,\nCLASP Director
\n
Staffan Larsson, University of Gothenburg, CLASP member
\n
Joakim Nivre, Uppsala University, CLASP Scientific Advisory\nCommittee
\n
Aarne Ranta, Chalmers University of Technology
\n
Charalambos Themistocleous, University of Gothenburg and Princeton\nUniversity, CLASP member
\n
Christina Thomsen Thörnqvist, Prefekt, FLOV
\n
\n
Abstracts
\n
Lars Borin, University of Gothenburg: Multi-word expressions - eels in sheep's clothing?
\n
Multi-word expressions (MWEs) have attracted much attention in NLP over\nthe last decade or so, and in general linguistics, the interest in\nphraseology - which includes the linguistic study of MWEs - goes back\nmuch further. However, the broad comparative approach characteristic of\nresearch in linguistic typology seems not to have played any role in any\nof this work so far. On the contrary, comparative studies of MWEs in NLP\n(or phraseology in linguistics) have generally been contrastive rather\nthan typological in scope, i.e., they deal with (a convenience sample\nof) a few languages, rather than with a systematic typological sample\nrepresentative of the world's linguistic diversity, with the result that\nno unitary cross-linguistically valid notion of MWE can be found in the\nliterature. Approaching MWEs from a broad cross-linguistic perspective\nraises a number of intriguing theoretical and methodological questions,\nfor linguistics and NLP alike. In fact, closer connections between NLP\nwork on MWEs and linguistic research on lexical and semantic typology\ncould have an important role to play for developing new research\ndirections in both fields.
\n
Stergios Chatzikyriakidis, University of Gothenburg: Modern Type Theoretical Semantics, Inference and Probability Theory
\n
In this talk I report on-going work on the use of Modern Type Theories\n(MTTs), i.e. type theories within the tradition of Martin Löf (1974,\n1981), in the study of linguistic semantics. In particular, I exemplify\nthe use of Luo's type theory with coercive sub-typing and show its\napplicability for a wide range of semantic phenomena, including\nadjectival/adverbial modification, co-predication and belief\nintensionality among others. I will then argue that the proof-theoretic\nnature of MTTs has the further advantage that these can be further\nimplemented into reasoning engines in order to perform reasoning tasks.\nIn particular, this proof-theoretic aspect has been the main reason that\na number of proof-assistants implement variants of MTTs. One such\nproof-assistant, Coq, will be used as a way to show the applicability of\nMTTs in dealing with Natural Language Inference (NLI). Lastly, I will\ndiscuss the issue of introducing probabilities into type theory. In\nparticular, I want to focus on the problems that such endeavour might\nface and discuss possibilities on how such an extension of MTTs can be\nat least initiated.
\n
Alex Clark, King's College London: Learning Syntactic Structure: Weak Learning, Strong Learning and Canonical Grammars
\n
The origin of syntactic structure has been a difficult problem for\ntheoretical linguistics for many decades. One standard assumption is\nthat it must be bootstrapped in some way from some external source of\ninformation, typically some hierarchically structured semantic\nrepresentation. We will explore a radical alternative to this view: that\ndistributional patterns in the raw data may suffice. Under some\ncircumstances formal languages will have a unique canonical grammar\nwhich can form the basis for a learning algorithm which recovers a\nreasonable notion of syntactic structure: this approach relies on\nidentifying irreducible elements of an algebraic structure - the\nsyntactic concept lattice - canonically associated with every formal\nlanguage.
\n
Simon Dobnik, University of Gothenburg: On Interfacing Language, Spatial Perception, Dialogue, and Cognition
\n
I will give an overview of our work on building computational models of\nmeaning of spatial descriptions in dialogue interaction such as \"the\nchair is to the left of the table\" or \"turn right at the next\ncrossroad\" which include both linguistic and perceptual\nrepresentations, for example those used in computer vision and robotics.\nAs such models interface perceptional and conceptual domains they\ninvariably require an application of statistical models and machine\nlearning. Physical sciences have developed ways in which space can be\ndescribed with high degree of accuracy, for example by measuring\ndistances and angles. Such measures can be represented on a continuous\nscale of real numbers. However, humans refer to space quite differently:\nthey use reference to discrete units such as points, regions and volumes\nand they also take into account what they know about the world and the\nobjects, for example the dynamic kinematic routines between them.\nSpatial descriptions are also notoriously underspecified and vague and\nthey have to be interpreted against appropriate perceptual and discourse\ncontexts. In my ongoing work with Robin Cooper, Shalom Lappin and\nStaffan Larsson on Type Theory with Records (TTR) I have tried to give\nthis practical experience theoretical foundations by exploring how such\nmodels relate to linguistic theory, in particular to formal semantics,\nand use the models as a test-bed for theory development.
\n
Devdatt Dubhashi, Chalmers University of Technology: Distributed representations in NLP
\n
Distributed representations such as Google's word2vec and Stanford's\nGloVe which have emerged out of the Deep Learning research community,\nhave been shown to be capture deep semantic information and thus\nconstitute powerful and highly scalable data driven frameworks for NLP.\nWe show examples from work of our research group of how they can be used\nfor word sense induction and automatic document summarisation and how\nthey can be extended to capture time dynamics of language change.
\n
Katrin Erk, University of Texas at Austin: Semantics as a Heterogeneous Mess, and How to Reason Over It
\n
Many phenomena in lexical semantics seem to involve gradedness. Synonymy\nis a case at hand: Instead of absolute synonymy, we find near-synonymy\nof words that are often substitutable but still differ in nuances of\nmeaning. Polysemy also seems to come in degrees, with different uses of\na word differing in their perceived similarity. We use distributional\nmodels to describe degrees of similarity of word instances, and combine\nthem with logical form representations of sentence meaning. In this\ntalk, we show how to use Markov Logic Networks (MLNs) to perform\nprobabilistic inference over logical form with weighted distributional\ninference rules for the task of Recognising Textual Entailment (RTE). We\nalso speculate how a human agent could make use of distributional\ninformation and integrate it with everything else they know through a\nprobabilistic framework. We argue that if semantics is a heterogeneous\nmess (which seems likely), it is important to find the right\nprobabilistic framework for reasoning over it.
\n
Chris Howes, University of Gothenburg: Incremental Reasoning in Dialogue (IncReD), work with Ellen Breitholtz and Robin Cooper
\n
In this talk, we will outline our grant proposal 'IncReD' (Incremental\nReasoning in Dialogue). This project aims to extend insights on\nincrementality in language processing beyond the utterance level.\nReasoning - which often plays the role of providing coherence and\nstructure in larger chunks of language - is also incremental in the\nsense that we tend to form hypotheses regarding the arguments of our\nconversational partners before these arguments are fully explicit. In\nthis sense incrementality in reasoning is analogous to syntactic and\nsemantic incrementality. We aim to combine insights from a variety of\nfields (e.g. Artificial Intelligence, Formal Linguistics,\nPsycholinguistics, Philosophy) and use corpus methods, state of the art\nexperimental techniques (e.g. the Dialogue Experimental Toolkit (DiET))\nand formal models from syntactic, semantic and pragmatic domains (e.g.\nDynamic Syntax (DS) and Type Theory with Records (TTR)) to develop a\nmodel of dialogue that accounts for a range of dialogue phenomena\nincluding reasoning. Specifically we intend to investigate: (1) What\ntypes of reasoning do people use in dialogue? What resources does this\nreasoning rely on and how are these resources accessed incrementally?\n(2) What happens in a dialogue (linguistically and interactionally) when\nthere is a mismatch in the resources for reasoning between participants?\nWhat factors influence the arguments a person uses when conflicting\nresources are available? (3) How can this incremental human reasoning\nability be formally modelled?
\n
Shalom Lappin, King's College London and University of Gothenburg: A Probabilistic View of Grammaticality Joint work with Jey Han Lau and Alexander Clark, King's College London
\n
The question of whether grammatical competence should be represented by\na formal grammar that provides a binary membership condition for the set\nof well-formed sentences (and their associated structures) in a\nlanguage, or as a probabilistic system for determining relative values\nof grammatical acceptability has been a central issue in computational\nlinguistics and cognitive science over the past two decades. In this\ntalk I will present experimental evidence that speakers' judgements of\ngrammatical acceptability are intrinsically gradient. I will show that\nunsupervised language models, augmented with grammatical scoring\nfunctions, can predict these judgements with an encouraging degree of\naccuracy over distinct domains and different languages. These results\nprovide motivation for the view that grammatical competence is a\nprobabilistic system. They also raise interesting questions about the\nnature of the language acquisition process. One of the main concerns of\nthe talk will be to clarify the relationship between grammatical\nacceptability and probability. This work was done within the framework\nof my Economic and Social Research Council of the UK project Statistical\nModels of Grammaticality (SMOG).
\n
Staffan Larsson, University of Gothenburg: Vagueness and Learning in Probabilistic TTR, work with Raquel Fernandez
\n
We present a formal account of the meaning of vague scalar adjectives\nsuch as \"tall\" formulated in probabilistic Type Theory with Records.\nOur approach makes precise how perceptual information can be integrated\ninto the meaning representation of these predicates; how an agent\nevaluates whether an entity counts as tall; and how the proposed\nsemantics can be learned and dynamically updated through experience.
\n
Joakim Nivre, Uppsala University: Towards a Universal Grammar for Natural Language Processing
\n
Universal Dependencies is a recent initiative to develop\ncross-linguistically consistent tree-bank annotation for many languages,\nwith the goal of facilitating multilingual parser development,\ncross-lingual learning, and parsing research from a language typology\nperspective. In this talk, I outline the motivation behind the\ninitiative and explain how the basic design principles follow from these\nrequirements. I then discuss the different components of the annotation\nstandard, including principles for word segmentation, morphological\nannotation, and syntactic annotation. I conclude with some thoughts on\nthe challenges that lie ahead.
\n
Aarne Ranta, Chalmers University of Technology: What are grammars good for?
\n
In formal language theory, a language is a set of strings and a grammar\nis an inductive definition of this set. It generates all and only the\nvalid strings of the language. In linguistics, generative grammars have\nsimilarly aimed at defining all and only the valid sentences of natural\nlanguages - in other words, the notion of grammaticality. One objection\nto this idea is that grammaticality in natural language is not a binary\nnotion but a gradient one. Does this imply that grammars are useless and\nshould be replaced by probabilistic models of language?
\n
In our view, not. We should just abandon the idea that the purpose of\ngrammars is to define grammaticality. Grammars should rather be seen as\nways of structuring data. Even statistical language models need\ngrammars, often just very simple ones, For instance, a grammar might\nhave the sequences of strings as its only structure. But we want to show\nhow richer grammatical structures - often together with statistics - are\na useful model that can for instance compensate for sparse data. We will\nalso discuss the wide-spread beliefs that hand-written grammars cannot\nbe robust and that they require too much work to be useful in practice.
\n
Charalambos Themistocleous, University of Gothenburg and Princeton University: Learning Linguistic Categories from Acoustic Structure: Towards a Speech Time Frequency Model
\n
[Linguistic information is hard-coded in speech signal. By analysing\nspecific acoustic properties, such as vowel formants and fundamental\nfrequency, acoustic models of speech production aim to elicit this\ninformation. I summarise evidence from my research on speech processing\nand argue that these acoustic models provide only incomplete spectral\ndescription and under-represent interactions between acoustic\nproperties. Consequently, they do not do justice to the complex\nlinguistic information encoded in speech. I then propose a model for\nspeech processing based on parameterised resonant signal elements and an\nalgorithm that analyses vowel samples based on the proposed model. The\nalgorithm provides a rich description of any given segmented vowel\nsample by using a large number of resonant elements with parameters that\nare chosen to accurately capture the time-frequency structure of the\nvowel. The parameters are then used to calculate probabilities. An\napplication of the model successfully classifies vowels, stress, and\nspeech variety. This model is an improvement over methods that only use\na small number of formants to describe vowels, has the potential to be\nused in automatic speech recognition, and is promising for use in\napplications of forensic linguistics, and speech pathology. Finally, I\ndiscuss an ongoing work that aims to extend the model for the analysis of\nprosody.
","frontmatter":{"title":"Language and Probability: The CLASP Inauguration Workshop","duration":"1 day","date":"27 Aug, 2015","venue":"Gothia Towers (Gothenburg)","externalSite":null,"proceedings":null},"fields":{"slug":"/events/conferences/inaguration/speakers-and-abstracts/"}}},"pageContext":{"slug":"/events/conferences/inaguration/speakers-and-abstracts/"}},"staticQueryHashes":["3875542623"]}
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","frontmatter":{"title":"Language and Probability: The CLASP Inauguration Workshop","duration":"1 day","date":"27 Aug, 2015","venue":"Gothia Towers (Gothenburg)","externalSite":null,"proceedings":null},"fields":{"slug":"/events/conferences/inaguration/videos/"}}},"pageContext":{"slug":"/events/conferences/inaguration/videos/"}},"staticQueryHashes":["3875542623"]}
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Cordially welcome to the public defence of Adam Ek's doctoral thesis on Friday 8 September, at 10:15 in room J222, Faculty of Humanities. The title is \"Studies in Language Structure using Deep Learning\".
\n
Doctoral candidate: Adam Ek, University of Gothenburg
\n
Supervisor: Jean-Phillipe Bernardy, University of Gothenburg\nAssistant supervisor: Stergios Chatzikiriakidis, University of Gothenburg
\n
Opponent: Assistant Professor Lasha Abzianidze, Utrecht University
\n
Committee:\nProfessor, Stephen Clark, Head of ArtificiaI Intelligence, Quantinuum\nDocent Sara Stymne, Uppsala universitet\nAssociate Professor Johannes Bjerva, Aalborg universitet
\n
Chair: Associate Professor Asad Basheer Sayeed, Göteborgs universitet
\n
Date: 2023-09-08
\n
Title: Studies in Language Structure using Deep Learning
\n
Abstract: This thesis deals with the discovery, prediction, and utilization of structural patterns in language using deep learning techniques. The thesis is divided into two sections. The first section gives an introduction to the tools used and the structures in language we are interested in. The second part presents six papers addressing the research questions. The first three papers deals with discovering and predicting patterns. In the first paper, we explore methods of composing word embeddings to predict morphological features. The second paper explores the possibility of using vector norms to approximate syntactic complexity. The third paper deals with predicting the depths of nested structures. The remaining three papers deal with using structures in language to make semantic predictions. The fourth paper explores using dependency trees to predict semantic predicate-argument structures using a rule-based system. The fifth paper explores modeling linguistic acceptability using syntactic and semantic labels. The sixth paper deals with exploring how punctuation affects natural language inference.
","frontmatter":{"presented_by":"Adam Ek","title":"Studies in Language Structure using Deep Learning","date":"September 08, 2023","bannerImage":{"publicURL":"/static/fac457c02b9b1d6fd06463ec4c9b94a2/Adam Ek.jpg"}},"fields":{"slug":"/events/defences/Public defence of Adam Ek's doctoral thesis/"}}},"pageContext":{"slug":"/events/defences/Public defence of Adam Ek's doctoral thesis/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/defences/Public defence of Bill Noble's doctoral thesis/page-data.json b/page-data/events/defences/Public defence of Bill Noble's doctoral thesis/page-data.json
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Cordially welcome to the public defence of William Noble's doctoral thesis on Thursday 20 April, at 13:15 in room J222, Faculty of Humanities. The title is \"Semantic change in interaction: Studies on the dynamics of lexical meaning\".
\n
Doctoral candidate: William Noble, University of Gothenburg
\n
Supervisor: Staffan Larsson, University of Gothenburg\nAssistant supervisor: Asad Sayeed, University of Gothenburg
\n
Opponent: Associate professor Casey Kennington, Boise State University
\n
Committee:\nProfessor Hana Filip, Heinrich Heine Universität, Düsseldorf\nAssociate Professor, Jakub Szymanik, University of Trento\nDocent Dana Dannells, Göteborgs universitet
\n
Chair: Professor Eleni Gregoromichelaki, Göteborgs universitet
\n
Date: 2023-04-20
\n
Title: Semantic change in interaction: Studies on the dynamics of lexical meaning
\n
Abstract: This compilation thesis investigates how word meanings change. In\nparticular, it's concerned semantic change at the levels of\ninteraction and the speech community. To this end, the compiled\nstudies employ methods from both formal and computational semantics.
\n
The first study presents a model for, and companion annotation study of,\nword meaning negotiation, a conversational routine in which the\nmeaning of a word becomes an explicit topic of conversation. The next\ntwo studies introduce and apply classification systems, a model of\ncommunal conceptual resources for ordering and talking about a\nparticular domain. We use a formalization thereof to model how\ngenus-differentia definitions can be used in interaction to update\nlexical knowledge of perceptual categories. The next study considers a\nrelated phenomenon, perceptual category description, but this time\nfrom a computational perspective. By modeling a short interaction\nbetween two neural networks, we investigate how different ways of\nrepresenting perceptual categories affect linguistic grounding.\nFollowing that, we turn to the dynamics of social meaning, particularly\nthe meaning of implicit conversational assumptions called topoi, with\na focus on situations of involving uncertainty about the speaker's\nsocial identity. The final two studies of the thesis shift the focus\nfrom particular interactions to the level of the community. First, we\ninvestigate linguistic variation using community conditioned language\nmodels to learn vector representations for a collection of online\ncommunities. These language-based representations are found to correlate\nwith community representations based on community membership alone.\nFinally, we use diachronic distributional word vectors to study\nshort-term semantic shift in online communities. We find that semantic\nchange has a significant yet nuanced relationship with the social\nstructure of the community.\nAltogether, the compilation offers two main insights. First, semantic plasticity is directly related to the complexity of the lexical semantic system. Words exhibit both perceptual and inferential meaning potential, each of which play a role in conveying and learning new words. Monolithic representations of word meaning belie a structured flexibility that guides how words can be used, while providing opportunities for innovation. It is this flexibility that is often the site of new conventionalized meanings. Second, semantic change is rooted in the interactive practices of the community. Communities sustain the communicative norms that govern how linguistic interaction takes place. These norms provide a framework for negotiating meaning. They also comprise the social and semiotic context that supports semantic innovation and change.
","frontmatter":{"presented_by":"William Noble","title":"Public defence of William Noble's doctoral thesis","date":"April 20, 2023","bannerImage":{"publicURL":"/static/bf763bb001a6dbeced71064bc4c444d4/Bill.jpg"}},"fields":{"slug":"/events/defences/Public defence of Bill Noble's doctoral thesis/"}}},"pageContext":{"slug":"/events/defences/Public defence of Bill Noble's doctoral thesis/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/defences/Public defence of Mehdi Ghanimifard's doctoral thesis/page-data.json b/page-data/events/defences/Public defence of Mehdi Ghanimifard's doctoral thesis/page-data.json
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Cordially welcome to the public defence of Mehdi Ghanimifard's doctoral thesis that he will defend on Wednesday 27 May, at 15.15 online via Zoom. The title is Why the pond is not outside the frog? Grounding in contextual representations by neural language models. The proceedings can also be followed via link in room J335 at Humanisten.
\n
Doctoral candidate: Mehdi Ghanimifard, University of Gothenburg
\n
Supervisor: Simon Dobnik, University of Gothenburg\nAssistant supervisor: Staffan Larsson, University of Gothenburg
\n
Opponent: Parisa Kordjamshidi, Michigan State University
\n
Committee:\nRaffaella Bernardi, University of Trento\nDavid Schlangen, University of Potsdam\nDevdatt Dubashi, Chalmers University of Technology\nJoakim Nivre, Uppsala University (replacement)
\n
Chair: Lena Eriksson, University of Gothenburg
\n
Date: 2020-05-27\nThe proceedings can also be followed via link in room J335, Humanisten\nTitle: Why the pond is not outside the frog? Grounding in contextual representations by neural language models
","frontmatter":{"presented_by":"Mehdi Ghanimifard","title":"Public defence of Mehdi Ghanimifard's doctoral thesis","date":"May 18, 2020","bannerImage":{"publicURL":"/static/117aa95ed4849feef5077b0dfd9b16cd/1771544_mehdi-ghanimifard-900-pxl.jpg"}},"fields":{"slug":"/events/defences/Public defence of Mehdi Ghanimifard's doctoral thesis/"}}},"pageContext":{"slug":"/events/defences/Public defence of Mehdi Ghanimifard's doctoral thesis/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/defences/Public defence of Vladislav Maraev's doctoral thesis/page-data.json b/page-data/events/defences/Public defence of Vladislav Maraev's doctoral thesis/page-data.json
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Cordially welcome to the public defence of Vladislav Maraev's doctoral thesis on Monday 29 August, at 15:15 in room J439, Humanisten. The proceedings can also be followed online, Zoom link: https://gu-se.zoom.us/j/66086973989#success The title is \"Who is laughing now? Laughter-infused dialogue systems\".
\n
Doctoral candidate: Vladislav Maraev, University of Gothenburg
\n
Supervisor: Christine Howes, University of Gothenburg\nAssistant supervisor: (1) Staffan Larsson, University of Gothenburg, (2) Jonathan Ginzburg, Université de Paris
\n
Opponent: Professor Matthew Stone, Rutgers School of Arts and Sciences
\n
Committee:\nProfessor Gabriel Skantze, Kungliga tekniska högskolan, Stockholm\nDoktor Magdalena Rychlowska, Queen’s University, Belfast\nProfessor Alexandra Weilenmann, University of Gothenburg
\n
Chair: Doktor Ellen Breitholtz, University of Gothenburg
\n
Date: 2022-08-29
\n
Title: Who is laughing now? Laughter-infused dialogue systems
\n
Abstract: T\nhis thesis paves the way for including laughter in spoken dialogue systems in a domain-general and linguistically valid way using computational linguistics tools and methods. The thesis is concerned with three main areas.
\n
The first area is the placement of laughter in relation to speech and other behaviours. We show that convolutional and recurrent neural networks can effectively predict laughs from dialogue transcripts, whereas human perforance in this task is significantly worse. Such prediction models allow dialogue systems to predict user laughter and, if needed, put system laughter in an appropriate place. Furthermore, we look at laughter placement in relation to gaze and show that laughter, performing different pragmatic functions, is related to different gaze patterns. These findings provide important implications for embodied conversational agents and social robots in regard to multimodal behaviour realisation and coordination.
\n
The second area is concerned with interaction between laughter and the communicative intent of a user and system, as well as with the context in which the given intent occurs. We lay the groundwork for the central component of a spoken dialogue system by implementing a dialogue manager in a theoretically informed way using a proof-theoretic model based on linear logic. Our dialogue manager is then extended to support laughter functioning as feedback or a signal accompanying system feedback, and an answer to polar questions. Additionally, we look at how laughter can modify or form a dialogue act, and how laughter can improve Transformer-based deep learning models in the task of dialogue act recognition.
\n
The third area is humour. Humour is intuitively related to laughter and some laughs highlight social norm violations and ironic statements, which bring laughter and humour closer together, even though humour is not necessary for laughter. We look at how humour is related to reasoning about social conventions and other learned and accommodated implicit assumptions, and how humour can be modelled in relation to creativity, implying situational and conversational creativity for artificial agents.
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diff --git a/page-data/events/defences/Public defence of Wafia Adouane's doctoral thesis/page-data.json b/page-data/events/defences/Public defence of Wafia Adouane's doctoral thesis/page-data.json
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Cordially welcome to the public defence of Wafia Adouane's doctoral thesis on Wednesday 2 September, at 17:00 online via Zoom. The title is Natural Language Processing for Low-resourced Code-switched Colloquial Languages – The Case of Algerian Language. To reduce the risk of spreading the Corona virus, the public is kindly asked to attend via streaming.\nAudience can also join in Lilla Hörsalen (C350) at Humanisten, but only a limited number.
\n
Doctoral candidate: Wafia Adouane, University of Gothenburg
\n
Supervisor: Jean-Philippe Bernardy, University of Gothenburg\nAssistant supervisor: Shalom Lappin, University of Gothenburg
\n
Opponent: Professor Mona Diab, George Washington University
\n
Committee:\nAssistant Professor Muhammad Abdul-Mageed, University of British Columbia\nAssociate Professor Barbara Plank, University of Copenhagen\nAssistant Professor Eleni Gregoromichelaki, Heinrich-Heine-Universität Düsseldorf
\n
Chair: Professor Staffan Larsson, University of Gothenburg
\n
Date: 2020-09-02\nThe proceedings can also be followed via link in Lilla Hörsalen (C350) at Humanisten, but only a limited number\nTitle: Natural Language Processing for Low-resourced Code-switched Colloquial Languages – The Case of Algerian Language
","frontmatter":{"presented_by":"Wafia Adouane","title":"Public defence of Wafia Adouane's doctoral thesis","date":"September 02, 2020","bannerImage":{"publicURL":"/static/166cb3808d3313c9551f45d0da01f384/1776555_wafias-bok-500pxl_crop.jpg"}},"fields":{"slug":"/events/defences/Public defence of Wafia Adouane's doctoral thesis/"}}},"pageContext":{"slug":"/events/defences/Public defence of Wafia Adouane's doctoral thesis/"}},"staticQueryHashes":["3875542623"]}
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diff --git "a/page-data/events/defences/Public defense of Chatrine Qwaider\302\264s doctoral thesis/page-data.json" "b/page-data/events/defences/Public defense of Chatrine Qwaider\302\264s doctoral thesis/page-data.json"
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Cordially welcome to the public defence of Chatrine Qwaider´s doctoral thesis on Wednesday May 25, at 15:00 in room J439, Humanisten. The title is \"Resources and Applications for Dialectal Arabic: The case of Levantine\".
\n
Doctoral candidate: Chatrine Qwaider, University of Gothenburg
\n
Supervisor: Stergios Chatzikyriakidis, University of Gothenburg\nAssistant supervisor: Simon Dobnik, University of Gothenburg
\n
Opponent: Doktor Muhammad Abdul-Mageed, University of British Columbia
\n
Examining committee:\nProfessor Mona Diab, George Washington University\nDocent Yves Scherrer, Helsingfors universitet\nDocent Peter Ljunglöf, Göteborgs universitet
\n
Chair: Docent Christine Howes, Göteborgs universitet
\n
Date: 2022-05-25
\n
Title: Resources and Applications for Dialectal Arabic: the Case of Levantine
\n
Abstract:\nThis is a thesis about the computational study of Dialectal Arabic (DA). In particular, the thesis studies DA, with a special emphasis on Levantine Arabic, and develops tools and resources for the computational study of Dialectal Arabic Natural Language Processing (DANLP). It investigates the creation of fine-grained resources that can be used for a variety of computational tasks, and a number of effective models that can deal with the complexity of fine-grained dialectal data. Dialect Identification (DI), as well as Sentiment Analysis (SA) are the Natural Language Processing (NLP) tasks investigated in this thesis.
\n
In the first part (Study 1 and Study 2), I study the DI task on both coarse-grained and fine-grained levels. For this reason, I build the first annotated Levantine (SHAMI) Dialect Corpus (SDC). Furthermore, I explore the ability of n-gram language models, Machine Learning (ML) algorithms and ensemble learning techniques to classify and detect 26 Arabic varieties. In the second part, I conduct a linguistic study to measure the lexical distance between MSA and DA, and between the dialects themselves. This is done to check whether transferring knowledge from one variety to another is possible. In the third part, studies 4,5 and 6, I explore Arabic Sentiment Analysis (SA). I investigate the idea of knowledge transfer between MSA and the dialects using SA as a case study. Furthermore, I implement various models such as the pre-trained language model BERT, Deep Learning (DL), ML and feature engineering approaches to detect the sentimental polarity of DA data. I introduce two valuable resources for this task, one focusing on Levantine sentiment (Shami-Senti), and the other for DA in general (AT- SAD). I exploit different ways of annotation, e.g. human, lexicon-based and automatic distant supervision annotation. The last study is about choosing the best model for DI and SA. I exploit well known models and approaches using various kinds of DA resources.
\n
The thesis contributes to the field of DANLP in a number of ways. The introduced valuable resources can be seen as a stepping stone for a deeper investigation and understanding of issues in DANLP. They are also reliable and can be used by researchers to address different NLP tasks. The cross- dialectal linguistic studies will open up prospects for researchers to finetune models and transfer knowledge among Arabic varieties. A big part of the contribution lies in designing DI and SA models. I implement several ML models that use feature engineering approaches and N-gram language models to identify the dialect or detect the sentiment. For DI, I design and implement an ensemble learning model that is able to handle fine-grained dialects. Additionally, I exploit the usage of DL models on different SA dialectal datasets and achieve competitive results. For both tasks, I exploit the recent pre-trained language models and perform a comparison to choose the best model. I also implement a semi-supervised approach for automatic labelling and annotating data with the help of self-training techniques to improve the performance of the dataset. These models will help researchers dive deeper into DANLP and create practical and industrial systems.
(joint work with Fengkui Ju, Beijing Normal University, Beijing, China)
\n
We use propositional dynamic logic and ideas about propositional controlfrom the agency literature to construct a simple model of how legalrelations interact with actions that change the world, and with actionsthat change the legal relations.
\n
This work is relevant for attempts to construct restricted fragments of natural language for legal reasoning that could be used in the creation of (more) formal versions of legal documents suitable for `legal knowledge bases'.
","frontmatter":{"title":"Modelling Legal Relations","lecturer":"Jan van Eijck","duration":"2 hours","date":"22 Feb, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/1716bc07bc41e1c572962073b4fafa3e/1565719_jan-van-eijck-modelling-legal-relations.pdf"}},"fields":{"slug":"/events/seminars/2016-02-22/Jan-van-Eijck-Modelling/"}}},"pageContext":{"slug":"/events/seminars/2016-02-22/Jan-van-Eijck-Modelling/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2016-03-09/Stergios-Chatzikyriakidis-Modern/page-data.json b/page-data/events/seminars/2016-03-09/Stergios-Chatzikyriakidis-Modern/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2016-03-09/Stergios-Chatzikyriakidis-Modern/","result":{"data":{"markdownRemark":{"html":"
Abstract:
\n
In this talk, I will discuss the use of Modern Type Theoretical Semantics (MTTs) , i.e. type theories within the tradition of Martin Löf (1974, 1981), for reasoning about natural language semantics. I will first present a brief introduction of the features that make MTTs an attractive formal language to interpret NL semantics to. In particular, I will discuss a number of issues that have been successfully dealt with using MTTs like adjectival/adverbial modification, copredication and intensionality among other things.
\n
Then, I will argue that the proof-theoretic nature of MTTs, i.e. the fact that they are proof-theoretically specified, in combination with their expresiveness makes them fit to perform reasoning tasks. This proof-theoretic aspect of MTTs has been the main reason that a number of proof-assistants implement variants of MTTs. One such proof-assistant, Coq, will be used as a way to show the applicability of MTTs in dealing with Natural Language Inference (NLI).
\n
Firstly, I will show how NL semantics can be implemented in Coq and then I will present how one can use Coq in order to reason with these semantics. I will draw examples from the FraCas test suite platform in order to show the predictions the implemented semantics make as regards inference. I will then discuss issues like coverage and proof-automation and a number of ideas for future work, like extracting type ontologies from GWAP lexical networks and creating a parser/translator that will translate between English (or any other language) and the syntax of Coq.
\n
I will end the talk by discussing the potential use of Coq implementing other semantic frameworks, like Montague Semantics, Davidsonian semantics and eventually a discussion on how Coq can be used with TTR (or even ProbTTR).
\n
Lecturer:
\n
Stergios Chatzikyriakidis is a researcher and research coordinator of CLASP.
","frontmatter":{"title":"Modern Type Theoretical Semantics: Reasoning Using Proof-Assistants","lecturer":"Stergios Chatzikyriakidis","duration":"2 hours","date":"09 Mar, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/a5bfb5a9db5e41fb35ae3f0eb862f1a2/1567588_clasptalk-chatzikyriakidis.pdf"}},"fields":{"slug":"/events/seminars/2016-03-09/Stergios-Chatzikyriakidis-Modern/"}}},"pageContext":{"slug":"/events/seminars/2016-03-09/Stergios-Chatzikyriakidis-Modern/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2016-03-11/John-Kelleher-Attention/page-data.json b/page-data/events/seminars/2016-03-11/John-Kelleher-Attention/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2016-03-11/John-Kelleher-Attention/","result":{"data":{"markdownRemark":{"html":"
Abstract: In the last number of years deep learning models have made a significant impact across a range of fields. Machine Translation is one such area of research. The development of the encoder-decoder architecture and its extension to include an attention mechanism has led to deep learning models achieving state of the art MT results for a number of langauge pairs.
\n
However, an open question in deep learning for MT is what is the best attention mechanism to use. This talk will begin by reviewing the current state of the art in deep learning for MT. The second half of the talk will present a novel attention based encoder-decoder architecture for MT. This novel architecture is the result of collaborative research between John Kelleher, Giancarlo Salton, and Robert J. Ross.
\n
Lecturer: John Kelleher is a lecturer in the School of Computing at the Dublin Institute of Technology and a researcher at the Adapt research center. He currently supervises research projects in a number of areas including machine translation, activity recognition and discovery, dialogue systems, computational models of spatial language, and music transcription.
\n
For the last number of years the majority of his research has used a machine learning methodology, and in 2015 he published a textbook on machine learning with MIT Press. John's collaborators on this research are Giancarlo Salton, who is a PhD student at the Dublin Institute of Technology, and Robert Ross who is a senior lecturer in the School of Computing at the Dublin Institute of Technology.
","frontmatter":{"title":"Attention Models in Deep Learning for Machine Translation","lecturer":"John Kelleher","duration":"2 hours","date":"11 Mar, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/e44e07645feeccd3816cabe97826b684/1566795_kelleher-attenspaceinencdec.pdf"}},"fields":{"slug":"/events/seminars/2016-03-11/John-Kelleher-Attention/"}}},"pageContext":{"slug":"/events/seminars/2016-03-11/John-Kelleher-Attention/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2016-03-16/Graeme-Hirst-Who/page-data.json b/page-data/events/seminars/2016-03-16/Graeme-Hirst-Who/page-data.json
new file mode 100644
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--- /dev/null
+++ b/page-data/events/seminars/2016-03-16/Graeme-Hirst-Who/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2016-03-16/Graeme-Hirst-Who/","result":{"data":{"markdownRemark":{"html":"
Abstract:
\n
Writer-based and reader-based views of text-meaning are reflected by the respective questions \"What is the author trying to tell me?\" and \"What does this text mean to me personally?\" Contemporary computational linguistics, however, generally takes neither view; applications do not attempt to answer either question.
\n
Instead, a text is regarded as an object that is independent of, or detached from, its author or provenance, and as an object that has the same meaning for all readers. This is not adequate, however, for the further development of sophisticated NLP applications for intelligence gathering and question answering, let alone interactive dialog systems.
\n
I will review the history of text-meaning in computational linguistics, discuss different views of text-meaning from the perspective of the needs of computational text analysis, and then extend the analysis to include discourse as well -in particular, the collaborative or negotiated construction of meaning and repair of misunderstanding.
\n
Lecturer:Graeme Hirst's research interests cover a range of topics in applied computational linguistics and natural language processing, including lexical semantics, the resolution of ambiguity in text, the analysis of authors' styles in literature and other text (including plagiarism detection and the detection of online sexual predators), identifying markers of Alzheimer's disease in language, and the automatic analysis of arguments and discourse (especially in political and parliamentary texts).
","frontmatter":{"title":"Who decides what a text means? (And what the answer implies for computational linguistics)","lecturer":"Graeme Hirst","duration":"2 hours","date":"16 Mar, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/1e471092de9722df4906cc2a1f9a0a1d/1567589_who-decides--gothenburg-2016.pdf"}},"fields":{"slug":"/events/seminars/2016-03-16/Graeme-Hirst-Who/"}}},"pageContext":{"slug":"/events/seminars/2016-03-16/Graeme-Hirst-Who/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2016-04-07/Staffan-Larsson-Bayesian/page-data.json b/page-data/events/seminars/2016-04-07/Staffan-Larsson-Bayesian/page-data.json
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--- /dev/null
+++ b/page-data/events/seminars/2016-04-07/Staffan-Larsson-Bayesian/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2016-04-07/Staffan-Larsson-Bayesian/","result":{"data":{"markdownRemark":{"html":"
Abstract:
\n
There is a fair amount of evidence indicating that language acquisition in general crucially relies on probabilistic learning. It is not clear how a reasonable account of semantic learning could be constructed on the basis of the categorical type systems that either classical or revised semantic theories assume. We present probabilistic TTR (Cooper et al 2014) that makes explicit the assumption, common to most probability theories used in AI, that probability is distributed over situation types, rather than over sets of worlds. Improving on and going beyond Cooper et al (2014), we formulate elementary Bayesian classifiers (which can be modelled as two-layer Bayesian networks) in probabilistic TTR and use these to illustrate how our type theory serves as an interface between perceptual judgement, semantic interpretation, and semantic leaning. We also show how this account can be extended to cover general Bayesian nets.
\n
Lecturer:
\n
Staffan Larsson is a professor of computational linguistics at CLASP.
","frontmatter":{"title":"Bayesian nets in probabilistic TTR","lecturer":"Staffan Larsson","duration":"2 hours","date":"07 Apr, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/5100d98aacdc35db773d3b7180af302d/1570867_staffan_larsson_clasp_seminar16_rev.pdf"}},"fields":{"slug":"/events/seminars/2016-04-07/Staffan-Larsson-Bayesian/"}}},"pageContext":{"slug":"/events/seminars/2016-04-07/Staffan-Larsson-Bayesian/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2016-04-27/Zhaohui-Luo-MTT-semantics/page-data.json b/page-data/events/seminars/2016-04-27/Zhaohui-Luo-MTT-semantics/page-data.json
new file mode 100644
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--- /dev/null
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@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2016-04-27/Zhaohui-Luo-MTT-semantics/","result":{"data":{"markdownRemark":{"html":"
Abstract:
\n
In this talk, after briefly introducing the formal semantics in modern type theories (MTT-semantics), I shall argue that it is both model-theoretic and proof-theoretic. This is due to the unique features of MTTs: they contain rich type structures that provide powerful representational means (e.g., to represent collections as types) and, at the same time, are specified proof-theoretically as rule-based systems whose sentences (judgements) can be understood inferentially.
\n
Considered in this way, MTTs arguably have promising advantages when employed as foundational languages for formal semantics, both theoretically and practically.
\n
Lecturer:
\n
Zhaohui Luo is a Professor of Computer Science at Royal Holloway, University of London.
","frontmatter":{"title":"MTT-semantics Is Both Model-theoretic and Proof-theoretic","lecturer":"Zhaohui Luo","duration":"2 hours","date":"27 Apr, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/4ec15471bf4ea410eeece4b8f90c4520/1573554_zhaohui_luo_clasp_seminar.pdf"}},"fields":{"slug":"/events/seminars/2016-04-27/Zhaohui-Luo-MTT-semantics/"}}},"pageContext":{"slug":"/events/seminars/2016-04-27/Zhaohui-Luo-MTT-semantics/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2016-05-04 (2)/Shay-Cohen-Latent-Variable/page-data.json b/page-data/events/seminars/2016-05-04 (2)/Shay-Cohen-Latent-Variable/page-data.json
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@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2016-05-04 (2)/Shay-Cohen-Latent-Variable/","result":{"data":{"markdownRemark":{"html":"
Probabilistic grammars are an important model family in natural language processing. They are used in the modeling of many problems, mostly prominently in syntax and semantics. Latent-variable grammars are an extension of vanilla probabilistic grammars, introducing latent variables that inject additional information into the grammar by using learning algorithms in the incomplete data setting.
\n
In this talk, I will discuss work aimed at the development of (four) theoretically-motivated algorithms for the estimation of latent-variable grammars. I will discuss how we applied them to syntactic parsing, and more semantically-oriented problems such as machine translation, conversation modeling in online forums and question answering.
\n
Lecturer:Shay Cohen is a Chancellor's Fellow at the Institute for Language, Cognition and Computation, University of Edinburgh.
","frontmatter":{"title":"Latent-Variable Grammars and Natural Language Semantics","lecturer":"Shay Cohen","duration":"2 hours","date":"04 May, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/8a00a747550516ac358482490f5dfb42/1573536_shay_cohen_clasp_seminar.pdf"}},"fields":{"slug":"/events/seminars/2016-05-04 (2)/Shay-Cohen-Latent-Variable/"}}},"pageContext":{"slug":"/events/seminars/2016-05-04 (2)/Shay-Cohen-Latent-Variable/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/events/seminars/2016-05-04/Shay-Cohen-Latent-Variable/page-data.json b/page-data/events/seminars/2016-05-04/Shay-Cohen-Latent-Variable/page-data.json
new file mode 100644
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--- /dev/null
+++ b/page-data/events/seminars/2016-05-04/Shay-Cohen-Latent-Variable/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2016-05-04/Shay-Cohen-Latent-Variable/","result":{"data":{"markdownRemark":{"html":"
Probabilistic grammars are an important model family in natural language processing. They are used in the modeling of many problems, mostly prominently in syntax and semantics. Latent-variable grammars are an extension of vanilla probabilistic grammars, introducing latent variables that inject additional information into the grammar by using learning algorithms in the incomplete data setting.
\n
In this talk, I will discuss work aimed at the development of (four) theoretically-motivated algorithms for the estimation of latent-variable grammars. I will discuss how we applied them to syntactic parsing, and more semantically-oriented problems such as machine translation, conversation modeling in online forums and question answering.
\n
Lecturer:Shay Cohen is a Chancellor's Fellow at the Institute for Language, Cognition and Computation, University of Edinburgh.
","frontmatter":{"title":"Latent-Variable Grammars and Natural Language Semantics","lecturer":"Shay Cohen","duration":"2 hours","date":"04 May, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/8a00a747550516ac358482490f5dfb42/1573536_shay_cohen_clasp_seminar.pdf"}},"fields":{"slug":"/events/seminars/2016-05-04/Shay-Cohen-Latent-Variable/"}}},"pageContext":{"slug":"/events/seminars/2016-05-04/Shay-Cohen-Latent-Variable/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2016-05-12/Simon-Dobnik-Model/page-data.json b/page-data/events/seminars/2016-05-12/Simon-Dobnik-Model/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2016-05-12/Simon-Dobnik-Model/","result":{"data":{"markdownRemark":{"html":"
Abstract:
\n
Joint work with John D. Kelleher, Dublin Institute of Technology, Ireland
\n
Type Theory with Records (TTR) has been proposed as a formal representational framework and a semantic model for embodied agents participating in situated dialogues (Dobnik et al., 2014). Although TTR has many potential advantages as a semantic model for embodied agents, one problem it faces is the combinatorial explosion of types that is implicit in the framework due to the fact that new types can be created dynamically by composing existing types.
\n
A consequence of this combinatorial explosion is that the agent is left with an intractable problem of deciding which types to assign to perceptual data. The term judgement is the technical term used in TTR to describe the assignment of a type to perceptual data that in practice would be implemented as a sensory classification.
\n
This paper makes 3 contributions to the discussion on the applicability of TTR to embodied agents. First, it highlights the problem of the combinatorial explosion of type assignment in TTR. Second, it presents a judgement control mechanism, based on the Load Theory of selective attention and cognitive control (Lavie et al., 2004), that addresses this problem. Third, it presents a computational framework, based on POMDPs (Kaelbling et al., 1998), that offers a basis for future practical experimentation on the feasibility of the proposed approach.
\n
Lecturer:
\n
Simon Dobnik is Senior Lecturer at the University of Gothenburg
","frontmatter":{"title":"A Model for Attention-Driven Judgements in Type Theory with Records","lecturer":"Simon Dobnik","duration":"2 hours","date":"12 May, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/fa4b8562ca05ce02e8f13494320d7f37/1575429_dobnik_clasp_120516.pdf"}},"fields":{"slug":"/events/seminars/2016-05-12/Simon-Dobnik-Model/"}}},"pageContext":{"slug":"/events/seminars/2016-05-12/Simon-Dobnik-Model/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2016-06-16/Carla-Umbach-Ad-hoc/page-data.json b/page-data/events/seminars/2016-06-16/Carla-Umbach-Ad-hoc/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2016-06-16/Carla-Umbach-Ad-hoc/","result":{"data":{"markdownRemark":{"html":"
Abstract:The talk focuses on demonstratives of manner, quality and/or degree, like German \"so\", Polish \"tak\", and English \"such\" (mqd demonstratives). These demonstratives modify (some or all of) verbal, nominal and degree expressions. They can be used deictically and anaphorically, and may also occur as correlatives in equative comparison constructions. The example in (1) shows German \"so\" used deictically.
\n
(1) a. (speaker pointing to someone dancing): So tanzt Anna auch. 'Anna dances like this, too.' -- manner b. (speaker pointing to a table): So einen Tisch hat Anna auch. 'Anna has such a table / a table like this, too.' -- quality c. (speaker pointing to a person): So groß ist Anna auch. 'Anna is this tall, too.' -- degree
\n
A semantic interpretation of mqd demonstratives will be proposed starting from the intuition that there is a deictic component and a similarity component involved ¿ in all of (1a-c), the meaning of \"so\" can be paraphrased by \"like this\". The basic idea is that mqd demonstratives generate a class of items similar to the target of the pointing gesture, e.g., in (1b) a class of tables similar to the table the speaker points at. This interpretation accounts for fact that mqd demonstratives are directly referential differing from regular demonstratives only in expressing similarity instead of identity. Moreover, it accounts for their cross-categorical distribution.
\n
The suggested analysis is compatible with Carlson's (1980) interpretation of English \"such\" as a kind- referring expression. In the case of quality and of manner similarity classes will be shown to behave like kinds, although they need not be previously given but are instead ad-hoc generated. In the case of degree, however, it will be argued (contra Anderson and Morzycki 2015) that the resulting similarity class does not establish a kind. In (1c) for example, the class of persons similar in height to the one pointed at does not exhibit kind-like behavior. The similarity interpretation of mqd demonstratives includes three major research topics:
\n
(i) the implementation of the similarity relation, which is done with the help of multidimensional attribute spaces (ii) the ad-hoc generation of kinds by similarity, which is shown experimentally to be restricted to particular features of comparison, and (iii) the interpretation of equative comparison constructions based on similarity classes.
\n
In the talk, the focus will be on the second topic.
\n
Anderson, C., and M. Morzycki (2015) Degrees as kinds. Natural Language and Linguistic Theory. Carlson, G. (1980) Reference to kinds in English. New York and London: Garland. Gust, H. & C.Umbach (2015) Making use of similarity in referential semantics. In H. Christiansen, I. Stojanovic, G. Papadopoulos (eds.) 9th Conference on Modeling and Using Context, Context 2015, LNCS Springer. Umbach, C., & H. Gust (2014) Similarity Demonstratives. Lingua 149, 74-93.
","frontmatter":{"title":"Ad-hoc Kind-formation by Similarity","lecturer":"Carla Umbach","duration":"2 hours","date":"16 Jun, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/91499c4b861b412b660e7ef042d9e442/1579169_umbach_claspseminar.pdf"}},"fields":{"slug":"/events/seminars/2016-06-16/Carla-Umbach-Ad-hoc/"}}},"pageContext":{"slug":"/events/seminars/2016-06-16/Carla-Umbach-Ad-hoc/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2016-09-06/Ted-Gibson-Language/page-data.json b/page-data/events/seminars/2016-09-06/Ted-Gibson-Language/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2016-09-06/Ted-Gibson-Language/","result":{"data":{"markdownRemark":{"html":"
Link to the recorded talk
\n
Traditional linguistic models of syntax and language processing have assumed an error-free process of language transmission. But we know that this is not the case: people often make errors in both language production and comprehension. This has important ramifications for both models of language processing and language evolution. I first show that language comprehension appears to function as a noisy channel process, in line with communication theory. Given si, the intended sentence, and sp, the perceived sentence we propose that people maximize P(si | sp ), which is equivalent to maximizing the product of the prior P(si) and the likely noise processes P(si → sp ). I show how this simple formulation can explain a wide range of language processing phenomena, such as people’s interpretations of simple sentences, some aphasic language comprehension effects, and the P600 in the ERP literature. Finally, I discuss how thinking of language as communication in this way can explain aspects of the origin of word order, most notably that most human languages are SOV with case-marking, or SVO without case-marking.
\n
Readings:
\n
Gibson, E., Bergen, L. & Piantadosi, S. (2013). The rational integration of noisy evidence and prior semantic expectations in sentence interpretation. Proceedings of the National Academy of Sciences, 110(20): 8051-8056. doi: 10.1073/pnas.1216438110. http://tedlab.mit.edu/tedlab_website/researchpapers/Gibson_et_al_2013_PNAS
","frontmatter":{"title":"Language processing over a noisy channel","lecturer":"Ted Gibson","duration":"2 hours","date":"06 Sep, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/95ae56b22003aa4db44cbe5b059d23fe/1586092_gibson_clasp_talk1.pdf"}},"fields":{"slug":"/events/seminars/2016-09-06/Ted-Gibson-Language/"}}},"pageContext":{"slug":"/events/seminars/2016-09-06/Ted-Gibson-Language/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2016-09-08/Ev-Fedorenko-human/page-data.json b/page-data/events/seminars/2016-09-08/Ev-Fedorenko-human/page-data.json
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@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2016-09-08/Ev-Fedorenko-human/","result":{"data":{"markdownRemark":{"html":"
Link to the recorded talk
\n
Although many animal species have the ability to generate complex thoughts, only humans can share such thoughts with one another, via language. My research aims to understand i) the system that supports our linguistic abilities, including its neural implementation, and ii) the relationship between the language system and the rest of the human cognitive arsenal. I use behavioral, fMRI, and genotyping methods in healthy adults and children, intracranial recordings from the cortical surface in patients undergoing pre- or intra-surgical mapping (ECoG), and studies of individuals with developmental and acquired damage.
\n
I will begin by introducing the \"language network\", a set of interconnected brain regions that support language comprehension and production. With a focus on the subset of this network dedicated to high-level linguistic processing, I will then consider the relationship between language and non-linguistic cognition. Based on data from fMRI studies and investigations of patients with severe aphasia, I will argue that the language network is functionally selective for language processing over a wide range of non-linguistic processes that have been previously argued to share computational demands with language, including arithmetic, executive functions, music, and action/gesture observation. This network plausibly stores our linguistic knowledge, which can be used for both interpreting and generating linguistic utterances. Time permitting, I will speculate on the relationship between the language network and other networks, including, critically, the domain-general executive system, and the system that supports social cognition.
","frontmatter":{"title":"The human language network within the broader architecture of the human mind and brain","lecturer":"Ev Fedorenko","duration":"2 hours","date":"08 Sep, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/3f91d6a8ff869d490025be0fb68b4950/1586328_fedorenko_glasp_talk1.pdf"}},"fields":{"slug":"/events/seminars/2016-09-08/Ev-Fedorenko-human/"}}},"pageContext":{"slug":"/events/seminars/2016-09-08/Ev-Fedorenko-human/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2016-09-12/Ted-Gibson-Information/page-data.json b/page-data/events/seminars/2016-09-12/Ted-Gibson-Information/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2016-09-12/Ted-Gibson-Information/","result":{"data":{"markdownRemark":{"html":"
Finding explanations for the observed variation in human languages is the primary goal of linguistics, and promises to shed light on the nature of human cognition. One particularly attractive set of explanations is functional in nature, holding that language universals are grounded in the known properties of human information processing. The idea is that grammars of languages have evolved so that language users can communicate using sentences that are relatively easy to produce and comprehend. In this talk, I summarize results from explorations in two linguistic domains, from an information-processing point of view.
\n
First, I consider communication-based origins of lexicons of human languages. Chomsky has famously argued that this is a flawed hypothesis, because of the existence of such phenomena as ambiguity. Contrary to Chomsky, we show that ambiguity out of context is not only not a problem for an information-theoretic approach to language, it is a feature. Furthermore, word lengths are optimized on average according to predictability in context, as would be expected under an information theoretic analysis. We then apply this simple information-theoretic idea to a well-studied semantic domain: words for colors. And finally, I show that all the world's languages that we can currently analyze minimize syntactic dependency lengths to some degree, as would be expected under information processing considerations.
","frontmatter":{"title":"Information processing and cross-linguistic universals","lecturer":"Ted Gibson","duration":"2 hours","date":"12 Sep, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/d40797bab8570c061c89c1c0efa0463f/1586985_gibson-universals-sweden-sept-2016.pdf"}},"fields":{"slug":"/events/seminars/2016-09-12/Ted-Gibson-Information/"}}},"pageContext":{"slug":"/events/seminars/2016-09-12/Ted-Gibson-Information/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2016-09-13/Ev-Fedorenko-internal/page-data.json b/page-data/events/seminars/2016-09-13/Ev-Fedorenko-internal/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2016-09-13/Ev-Fedorenko-internal/","result":{"data":{"markdownRemark":{"html":"
A set of brain regions on the lateral surfaces of left frontal, temporal, and parietal cortices robustly respond during language comprehension and production. Although we now have strong evidence that this language network is spatially and functionally distinct from brain networks that support other high-level cognitive functions, the internal structure of the language network remains poorly understood. Deciphering the language network's architecture includes i) identifying its component parts, and ii) understanding the division of labor among those components in space and time. I will first present evidence that all language regions closely track linguistic input. I will then argue that some of the traditional \"cuts\" that have been proposed in the literature (e.g., based on the size of the linguistic units, based on the distinction between storage and computation, or based on syntactic category) do not seem to be supported by the available evidence. Even aspects of language that have long been argued to preferentially, or selectively, rely on a specific region within the language network (e.g., syntactic processing being localized to parts of Broca¿s area) appear to be distributed across the network. Further, the very same regions that are sensitive to syntactic structure in language show sensitivity to lexical and phonological manipulations. This distributed nature of language processing is in line with much current theorizing in linguistics and the available behavioral psycholinguistic data that show sensitivity to contingencies spanning sound-, word- and phrase-level structure. Time permitting, I will talk about recent work on decoding single word meanings and more complex meanings from the neural activity in the language network, and speculate that the organizing principles of the language network may have to do with meaning.
","frontmatter":{"title":"The internal architecture of the language network","lecturer":"Ev Fedorenko","duration":"2 hours","date":"13 Sep, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/5e36541b4d70cbf5e221acb0eba2d84c/1587150_fedorenko_gu_talk2_sept13-2016.pdf"}},"fields":{"slug":"/events/seminars/2016-09-13/Ev-Fedorenko-internal/"}}},"pageContext":{"slug":"/events/seminars/2016-09-13/Ev-Fedorenko-internal/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2016-10-18/Matthew-Stone-Bayesian/page-data.json b/page-data/events/seminars/2016-10-18/Matthew-Stone-Bayesian/page-data.json
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Natural language meanings allow speakers to encode important real-world distinctions, but corpora of grounded language use also reveal that speakers categorize the world in different ways and describe situations with different terminology. To learn meanings from data, we therefore need to link underlying representations of meaning to models of speaker judgment and speaker choice. This paper describes a new approach to this problem: we model variability through uncertainty in categorization boundaries and distributions over preferred vocabulary. We apply the approach to a large data set of color descriptions, where statistical evaluation documents its accuracy. The results are available as a Lexicon of Uncertain Color Standards (LUX), which supports future efforts in grounded language understanding and generation by probabilistically mapping 829 English color descriptions to potentially context-sensitive regions in HSV color space.
\n
joint work with Brian McMahan.
","frontmatter":{"title":"A Bayesian model of grounded color semantics","lecturer":"Matthew Stone","duration":"2 hours","date":"18 Oct, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/f42e209c1ecbd21a304966d54be92b61/1595352_matthewstone.pdf"}},"fields":{"slug":"/events/seminars/2016-10-18/Matthew-Stone-Bayesian/"}}},"pageContext":{"slug":"/events/seminars/2016-10-18/Matthew-Stone-Bayesian/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2016-11-02/Ruth-Kempson-Language:/page-data.json b/page-data/events/seminars/2016-11-02/Ruth-Kempson-Language:/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2016-11-02/Ruth-Kempson-Language:/","result":{"data":{"markdownRemark":{"html":"
With established recognition of the endemic context-relativity of language, it is now generally accepted that both parsing and production involve incremental context-relative decisions, requiring the concepts of both evolving contents and evolving contexts. Researchers across semantics, pragmatics, psycholinguistics, and computational linguistics are duly turning to the challenge of modelling language in terms that are compatible with such incrementality. Yet formal models of language remain largely grounded in the static terms of licensing sentential string- interpretation pairings reflecting only concepts such as compositionality, with little or no reflection of a time-linear process of information growth.
\n
In this talk, I start by showing why linguists cannot avoid the challenge of defining grammar formalisms to reflect the dynamics of conversational dialogue, and how in order to achieve this, every aspect of linguistic knowledge needs to be recast as procedures for on-line incremental and predictive word-by-word understanding/production. I shall then briefly sketch the action-based Dynamic Syntax (DS) system to demonstrate its explanatory potential, by modelling what have been taken as canonical exemplars of semantic-independent syntactic processes, which in DS are all expressed in terms of incremental parsing/generation actions. I will show in passing how the resulting system, despite the lack of any conventional notion of syntax, nonetheless has the power to express both universal structural constraints and yet cross-language variability. Part of this will include the Directed Acyclic Graph characterisation of context as developing in lockstep with the evolving yet revisable content, demonstrating the system-internal potential for self/other-correction. The dynamics of conversational dialogue interactions will then emerge as the immediate consequence of this perspective on language; and I will briefly illustrate how this potential for interaction underpins all types of language-internal licensing constraint: syntactic, semantic, morphosyntactic and phonological.
\n
I shall then turn to setting this perspective within the Predictive Processing (PP) model of cognition (Clark 2016), whose architectural properties the DS concept of language matches almost point by point. Like perception in the PP model, the DS grammar is a \"fundamentally action-oriented\" set of procedures, grounded in predictive processing resources shared by speakers (action) and hearers (perception) alike and \"executed using the same basic computational strategy\" leading to effects of interactive coordination without any need to invoke mind-reading or propositional inference. The result is that linguistic processing, perception, action, and thought are predicted to be \"continuously intermingled\" yielding representational updates \"tailored to good enough online controls rather than aiming for rich mirroring\". Instead, such updates are accomplished due to a strong version of affordance competition since the brain ¿continuously computes multiple probabilistically inflected possibilities for action¿ in a cost-effect balancing dynamic, with possibilities progressively winnowed down, allowing for possible revision, to yield at least one output in any successful outcome. To this set of characteristics (Clark 2016 p. 251), we have only to add the potential for interaction which such a language system predicts as default, and a wholly different perspective on language evolution opens up. Language can now be seen as an emergent and evolving system with manifest potential for consolidating cross-individual interactions, hence group effects, without ever having to invoke high-level inferences as external, \"designer\"-imposed motivation for such consolidation, this a dynamic for which language change already provides robust motivation.
","frontmatter":{"title":"Language: The Tool for Interaction -- Surfing Uncertainty Together","lecturer":"Ruth Kempson","duration":"2 hours","date":"02 Nov, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/02a23ac330bb519938ac4d3b9d033d2a/1598008_gothenburgfull_el5final.pdf"}},"fields":{"slug":"/events/seminars/2016-11-02/Ruth-Kempson-Language:/"}}},"pageContext":{"slug":"/events/seminars/2016-11-02/Ruth-Kempson-Language:/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2016-11-14/Jean-Philippe-Bernandy-Efficient/page-data.json b/page-data/events/seminars/2016-11-14/Jean-Philippe-Bernandy-Efficient/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2016-11-14/Jean-Philippe-Bernandy-Efficient/","result":{"data":{"markdownRemark":{"html":"
We present a divide-and-conquer algorithm for parsing context-free languages efficiently. Our algorithm is an instance of Valiant's (1975), who reduced the problem of parsing to matrix multiplications. We show that, while the conquer step of Valiant's is O(n3), it improves to O(log2 n) under certain conditions satisfied by many useful inputs.
\n
One observes that inputs written by humans generally satisfy those conditions. Thus, there appears to be a link between the ability for a computer to efficiently parse an input in parallel and the ability for a human to comprehend such an input.
","frontmatter":{"title":"Efficient Parallel and Incremental Parsing of Practical Context-Free Languages","lecturer":"Jean-Philippe Bernandy","duration":"2 hours","date":"14 Nov, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/9d2acb29bc1cf7b9b9e68c3032b82d0d/1605218_jean-philippe_clasp.pdf"}},"fields":{"slug":"/events/seminars/2016-11-14/Jean-Philippe-Bernandy-Efficient/"}}},"pageContext":{"slug":"/events/seminars/2016-11-14/Jean-Philippe-Bernandy-Efficient/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2016-11-30/Peter-Sutton-probabilistic,/page-data.json b/page-data/events/seminars/2016-11-30/Peter-Sutton-probabilistic,/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2016-11-30/Peter-Sutton-probabilistic,/","result":{"data":{"markdownRemark":{"html":"
In this paper, we attempt to answer the vexing question why it should be the case that only certain types of noun meanings exhibit mass/count variation in the lexicalization of their semantic properties, while others do not. This question has so far remained unanswered, or been set aside. We will do so by focusing on the role of context-sensitivity (already highlighted in recent theories of the mass/count distinction), and argue that it gives rise to a conflict between two pressures that influence the encoding of noun meanings as mass or count, one stemming from learnability constraints (reliability) and the other from constraints on informativeness (individuation). This will also lead us to identifying four semantic classes of nouns, and to showing why variation in mass/count encoding is, on our account, to be expected to occur widely in just two of them. Context-sensitivity forces a choice between prioritizing individuation, which aligns with count lexicalization, and prioritizing consistency, which aligns with mass lexicalization.
","frontmatter":{"title":"A probabilistic, mereological account of the mass/count distinction","lecturer":"Peter Sutton","duration":"2 hours","date":"30 Nov, 2016","venue":"Gothenburg","slides":{"publicURL":"/static/c2fc4ce27e6a74355e1b5154770625c5/1608681_clasp_slides_sutton.pdf"}},"fields":{"slug":"/events/seminars/2016-11-30/Peter-Sutton-probabilistic,/"}}},"pageContext":{"slug":"/events/seminars/2016-11-30/Peter-Sutton-probabilistic,/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2017-02-01/Mathieu-Lafourcade-Games/page-data.json b/page-data/events/seminars/2017-02-01/Mathieu-Lafourcade-Games/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2017-02-01/Mathieu-Lafourcade-Games/","result":{"data":{"markdownRemark":{"html":"
Human-based computation is an approach where some steps of a computation is outsourced to humans. Games with a purpose (GWAPs) are games aiming at resolving puzzled or collecting data, where humans still outperform machines.
\n
The JeuxDeMots (JDM) projects is a web-based associative GWAP where people are invited to play on various lexical and semantic relations between terms. The aim of this project is to build a large lexico-semantic network, with various relations types and word refinements (word usages).
\n
Text semantic analysis is the main application for exploiting this resource, however the use as a tool for providing help in the case of the \"tip of the tongue\" phenomenon is also fruitful. This presentation will present the principles behind the JDM project, as well has the results achieved so far (around 1 million terms for 67 million relations). The following aspects will be discussed: the interaction between the various games of the JDM environment, some inference mechanisms of relations and rules, word polarity and sentiments, and some ethical aspects. Some specific aspects of the JDM lexical network are detailed, such as : refinements, aggregated terms, inhibitory relations and relation annotations.
M. Lafourcade, A. Joubert (2015) TOTAKI: A Help for Lexical Access on the TOT Problem. In Gala, N., Rapp, R. et Bel-Enguix, G. éds. (2015), Language Production, Cognition, and the Lexicon. Festschrift in honor of Michael Zock. Series Text, Speech and Language Technology XI. Dordrecht, Springer. 586 p. 140 illus. ISBN: 978-3-319-08042-0. (pp. 95-112)
","frontmatter":{"title":"Games with a Purpose: The JeuxdeMots project","lecturer":"Mathieu Lafourcade","duration":"2 hours","date":"01 Feb, 2017","venue":"Gothenburg","slides":{"publicURL":"/static/a421f3332fdd12283e1e5da1a3c60816/1615183_lafourcade-jdm-goteborg-v10.pdf"}},"fields":{"slug":"/events/seminars/2017-02-01/Mathieu-Lafourcade-Games/"}}},"pageContext":{"slug":"/events/seminars/2017-02-01/Mathieu-Lafourcade-Games/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2017-02-20/Asad-Sayeed-Semantic/page-data.json b/page-data/events/seminars/2017-02-20/Asad-Sayeed-Semantic/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2017-02-20/Asad-Sayeed-Semantic/","result":{"data":{"markdownRemark":{"html":"
While general knowledge of the world plays a role in language use, language processing in humans is also guided by formal intuitions about linguistic representation. In this talk, I discuss research results in finding the boundaries between world knowledge and formalism-driven intuitions and situate them in the context of a larger research program in computational psycholinguistics.
\n
The first result focuses on the semantics of predicates and their arguments and how they are interpreted by the human processor. English-speaking human raters judge doctors as more appropriate givers of advice than recipients and lunches as much more appropriate objects of \"eat\" than subjects. One of my recent projects resulted in the development of vector-space and neural network models of predicate-argument relations that model that succeed in achieving high correlations with human ratings.
\n
The second result is about the interaction of world knowledge with higher order semantics. English-speakers tend to judge that the sentence \"every child climbed a tree\" refers to more than one tree, while \"every jeweller appraised a diamond\" is comparatively more likely to refer to a single diamond, based on their knowledge of trees and diamonds. Recent experimental results in the literature are ambivalent on the extent to which formal structure affects the power of world knowledge to influence these judgements. In response to this, I describe a recent judgement study I conducted using German scrambling that suggests a significant effect of formal representation on the plural interpretation of an object argument given a universally-quantified subject.
\n
Both of these research efforts reveal underlying questions about the influence of world knowledge on linguistic representations and suggest ways to answer them.
","frontmatter":{"title":"Semantic representation and world knowledge","lecturer":"Asad Sayeed","duration":"2 hours","date":"20 Feb, 2017","venue":"Gothenburg","slides":{"publicURL":"/static/aa3a55a5f927c63f79c8cf7939fa4601/1615969_asadtalk.pdf"}},"fields":{"slug":"/events/seminars/2017-02-20/Asad-Sayeed-Semantic/"}}},"pageContext":{"slug":"/events/seminars/2017-02-20/Asad-Sayeed-Semantic/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2017-03-01/Kristina-Liefke-Relating/page-data.json b/page-data/events/seminars/2017-03-01/Kristina-Liefke-Relating/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2017-03-01/Kristina-Liefke-Relating/","result":{"data":{"markdownRemark":{"html":"
Formal semantics comprises a plethora of theories which interpret natural language through the use of di¿erent ontological primitives (e.g. possible worlds, situations, individual concepts, unanalyzable propositions). The ontological relations between these theories are, today, still largely unexplored. In particular, it remains unclear whether the basic objects of some of these theories can be coded in terms of objects from other theories (s.t. phenomena which are modeled by one theory can also be modeled by the other theories) or whether some of these theories can even be reduced to ontologically poor(er) theories (e.g. extensional semantics) which do not contain ¿special¿ objects like possible worlds.
\n
This talk surveys my recent work on ontological reduction relations between formal semantic theories. This work shows that, more than preserving the modeling success of the reduced theory, some reductions even improve upon the theory's modeling adequacy or widen the theory's modeling scope. My talk illustrates this observation by two examples: (i) the relation between Montague-/possible world-style intensional semantics and extensional semantics (cf. Liefke and Sanders 2016), and (ii) the relation between intensional semantics and situationbased single-type semantics (cf. Liefke and Werning, in revision). The first relation established through the use of associates from higher-order recursion theory.
","frontmatter":{"title":"Relating Theories of Formal Semantics: established methods and surprising results","lecturer":"Kristina Liefke","duration":"2 hours","date":"01 Mar, 2017","venue":"Gothenburg","slides":{"publicURL":"/static/dc492b297b60ca12cd1215496b6d9c2e/1617947_slides_liefke.pdf"}},"fields":{"slug":"/events/seminars/2017-03-01/Kristina-Liefke-Relating/"}}},"pageContext":{"slug":"/events/seminars/2017-03-01/Kristina-Liefke-Relating/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2017-03-20/Hannes-Rieser-Process/page-data.json b/page-data/events/seminars/2017-03-20/Hannes-Rieser-Process/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2017-03-20/Hannes-Rieser-Process/","result":{"data":{"markdownRemark":{"html":"
The talk is based on extensive corpus work dealing with the interaction of gesture and speech in natural route-description dialogues. The issue discussed is how non-regimented gesture and speech processes can be modelled in a formal system. The main argument in the talk is that this cannot be achieved in structural paradigms currently in use. The proposal is to turn instead to process algebras in the tradition of Milner's pi-calculus. The special algebra discussed in the talk is a newly developed hybrid lambda-psi calculus which can transport typed lambda-expressions over communicating input-output channels. Central for the account is the notion of agent: Agents encode speech information, gesture information or both. They can put information on channels and send it to other channels or take information from others and combine it with the information they have. Speech-gesture interaction is conceptualised via channel interactions of this sort. Interactions are allowed, postponed or blocked using a typing system. Successful communication among agents leads to a multi-modal meaning representation serving as logical form.
\n
Bibliography: Rieser, H. (2014). Gesture and Speech as Autonomous Communicating Processes. Talk at the Stuttgart Workshop on \"Embodied meaning goes public\". Stuttgart University, December 2014 Rieser, H. (2015). When Hands Talk to Mouth. Gesture and Speech as Autonomous Communicating Processes. Proceedings of Semdial 2015, Gothenburg Rieser, H. (2017). A Process Algebra Account of Speech-Gesture Interaction. Preliminary version. Ms, Bielefeld University
","frontmatter":{"title":"A Process Algebra Account of Speech-Gesture Interaction","lecturer":"Hannes Rieser","duration":"2 hours","date":"20 Mar, 2017","venue":"Gothenburg","slides":{"publicURL":"/static/cd79d9c97fd4049211860676c5e648a8/1621324_gothenburg_talk_2017_rieser.pdf"}},"fields":{"slug":"/events/seminars/2017-03-20/Hannes-Rieser-Process/"}}},"pageContext":{"slug":"/events/seminars/2017-03-20/Hannes-Rieser-Process/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2017-03-22/Eleni-Gregoromichelaki-Ad/page-data.json b/page-data/events/seminars/2017-03-22/Eleni-Gregoromichelaki-Ad/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2017-03-22/Eleni-Gregoromichelaki-Ad/","result":{"data":{"markdownRemark":{"html":"
Abstract
\n
The view of NLs as codes mediating a mapping between \"expressions\" and the world is abandoned to give way to a view where utterances are seen as actions aimed to locally and incrementally alter the affordances of the context. Such actions employ perceptual stimuli composed not only of \"words\" and \"syntax\" but also elements like visual marks, gestures, sounds, etc. Any such stimuli can participate in the domain-general processes that constitute the \"grammar\", whose function is the dynamic categorisation of various perceptual inputs and their integration in the process of generating the next action steps. Given these assumptions, a challenge that arises is how to account for the reification of such processes as exemplified in apparent metarepresentational practices like quotation, reporting, citation etc. It is argued that even such phenomena can receive adequate and natural explanations through a grammar that allows for the ad hoc creation of occasion-specific content through reflexive mechanisms.
","frontmatter":{"title":"Ad hoc grammatical categorisation in Dynamic Syntax","lecturer":"Eleni Gregoromichelaki","duration":"2 hours","date":"22 Mar, 2017","venue":"Gothenburg","slides":{"publicURL":"/static/674521c3695c49f98cff2a151098cc1b/1620492_gothenburgslidesgreg.pdf"}},"fields":{"slug":"/events/seminars/2017-03-22/Eleni-Gregoromichelaki-Ad/"}}},"pageContext":{"slug":"/events/seminars/2017-03-22/Eleni-Gregoromichelaki-Ad/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2017-05-02/Herbert-H.-Clark-On/page-data.json b/page-data/events/seminars/2017-05-02/Herbert-H.-Clark-On/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2017-05-02/Herbert-H.-Clark-On/","result":{"data":{"markdownRemark":{"html":"
Communication is often said to be a rational behavior. As Grice (1975) put it, \"Talking [is] a special case or variety of purposive, indeed rational behavior.\" But what does it mean for a behavior to be rational? I will contrast two notions of rationality as they have been applied to language use, one cooperative (à la Grice) and the other interactive, and argue that both are legitimate. I will show how the interactive model, based on one type of rationality, accounts for a wide range of phenomena that are complementary for those accounted for in a Gricean cooperative model.
","frontmatter":{"title":"On the rational basis of communication","lecturer":"Herbert H. Clark","duration":"2 hours","date":"02 May, 2017","venue":"Gothenburg","slides":null},"fields":{"slug":"/events/seminars/2017-05-02/Herbert-H.-Clark-On/"}}},"pageContext":{"slug":"/events/seminars/2017-05-02/Herbert-H.-Clark-On/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2017-05-04/Herbert-Clark-Performing/page-data.json b/page-data/events/seminars/2017-05-04/Herbert-Clark-Performing/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2017-05-04/Herbert-Clark-Performing/","result":{"data":{"markdownRemark":{"html":"
Depicting is a basic method of communication on a par with describing and pointing (or indicating). The idea is that people use their hands, arms, head, face, eyes, voice, and body, with and without props, to stage physical scenes for others, generally as composite parts of utterances along with describing and pointing. Performing depictions, I will show, is inherently interactive, and people choose depictions to communicate things they could not do with language or pointing.
","frontmatter":{"title":"Performing depictions in everyday discourse","lecturer":"Herbert Clark","duration":"2 hours","date":"04 May, 2017","venue":"Gothenburg","slides":null},"fields":{"slug":"/events/seminars/2017-05-04/Herbert-Clark-Performing/"}}},"pageContext":{"slug":"/events/seminars/2017-05-04/Herbert-Clark-Performing/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2017-05-05 (2)/Eve-Clark-Language/page-data.json b/page-data/events/seminars/2017-05-05 (2)/Eve-Clark-Language/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2017-05-05 (2)/Eve-Clark-Language/","result":{"data":{"markdownRemark":{"html":"
Children acquire language as they interact with adults from infancy onwards. Adults-parents and caretakers-are 'expert speakers' and they guide children's earliest steps in interaction, from gaze, to smiles, to reaching, to attempting to communicate. Although very young children can communicate some things early on by pointing and reaching, or by pushing things away, the nonverbal options here are limited in scope. Language offers a lot more. But to acquire language, children need extensive exposure in interaction. In this talk, I will review some of the evidence for how children manage the complex feat of acquiring the basics of a language and how to use it, by around age four- but just the basics. The process of acquiring a language, for all the things we can learn to do with language, lasts a good deal longer.
","frontmatter":{"title":"Language as (Graded) Expertise","lecturer":"Eve Clark","duration":"2 hours","date":"05 May, 2017","venue":"Gothenburg","slides":{"publicURL":"/static/73a6d5725a4cd343a4035c30d7b0b49c/1649769_clasp-1clark-summ.pdf"}},"fields":{"slug":"/events/seminars/2017-05-05 (2)/Eve-Clark-Language/"}}},"pageContext":{"slug":"/events/seminars/2017-05-05 (2)/Eve-Clark-Language/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2017-05-05/Eve-Clark-Language/page-data.json b/page-data/events/seminars/2017-05-05/Eve-Clark-Language/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2017-05-05/Eve-Clark-Language/","result":{"data":{"markdownRemark":{"html":"
Just as in the acquisition of other forms of expertise, learning a first language depends on three essential ingredients: exposure, practice, and feedback. Young children are exposed to the community language; they practice it in interaction with more expert speakers from around the age of 1, and they receive feedback on their practice. Fior example, adults check up on their errors with reformulations in the shape of side-sequences and embedded corrections. Adults also offer feedback on appropriate usage, ratifying the information being added to common ground. Finally, in L1 acquisition, children are learning just what one can and can't do with language, as they learn to understand and produce it. In L2 acquisition, learners typically receive much less exposure in interactive settings, receive less feedback timed to pinpoint specific errors, and have less opportunity for practice in truly interactive settings.
","frontmatter":{"title":"Language as (Graded) Expertise","lecturer":"Eve Clark","duration":"2 hours","date":"05 May, 2017","venue":"Gothenburg","slides":null},"fields":{"slug":"/events/seminars/2017-05-05/Eve-Clark-Language/"}}},"pageContext":{"slug":"/events/seminars/2017-05-05/Eve-Clark-Language/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2017-05-10/David-Schlangen-Learning/page-data.json b/page-data/events/seminars/2017-05-10/David-Schlangen-Learning/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2017-05-10/David-Schlangen-Learning/","result":{"data":{"markdownRemark":{"html":"
If, when asked to \"point at the mug\", a physically unimpaired person seems unable to identify a potential referent that is standing in front of them, we might hesitate to ascribe knowledge of the meaning of the word \"mug\" to them, whatever else they may be able to tell us about mugs(e.g., \"wooden mugs were produced probably from the oldest time, but most of them have not survived intact.\", or \"mugs are similar to cups\"). And yet computational models of word meaning are good at the latter (e.g., by simply linking to knowledge repositories like wikipedia, where the previous sentence about wooden mugs was taken from), and fail at theformer.
\n
In this talk, I will present our recent work at learning a lexicon for referential interaction, where the referential aspects of word meaning are modelled through perceptual classifiers taking real images as input. I show that this representation complements other computational meaning representations such as those derived from distributional patterns, as well as decompositional or attribute-based representations. The lexicon is learned through (observation of) interaction, and is maintained and defended in interaction.
","frontmatter":{"title":"Learning and Maintaining a Lexicon for Situated Interaction","lecturer":"David Schlangen","duration":"2 hours","date":"10 May, 2017","venue":"Gothenburg","slides":null},"fields":{"slug":"/events/seminars/2017-05-10/David-Schlangen-Learning/"}}},"pageContext":{"slug":"/events/seminars/2017-05-10/David-Schlangen-Learning/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2017-05-29/Judith-Holler-On/page-data.json b/page-data/events/seminars/2017-05-29/Judith-Holler-On/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2017-05-29/Judith-Holler-On/","result":{"data":{"markdownRemark":{"html":"
Coordination is at the heart of human conversation. In order to interact with one another through talk, we must coordinate at many levels, first and foremost at the level of our mental states, intentions and conversational contributions. In this talk, I will present findings on the pragmatics of multi-modal communication from both production and comprehension studies. In terms of production, I will, firstly, throw light on how co-speech gestures are used in the coordination of meaning to allow interactants to arrive at a shared understanding of the things they talk about, and, secondly, on how gesture and gaze are employed in the coordination of speaking turns in spontaneous conversation, with special reference to the psycholinguistic and cognitive challenges that turn-taking poses. In terms of comprehension, I will focus on communicative intentions and the interplay of ostensive and semantic multi-modal signals in triadic communication contexts. My talk will bring these different findings together to make the argument for richer research paradigms that capture more of the complexities and sociality of face-to-face conversational interaction. Advancing the field of multi-modal communication in this way will allow us to more fully understand the psycholinguistic processes that underlie human language use and language comprehension.
","frontmatter":{"title":"On the pragmatics of face-to-face communication: the role of the body in social cognition and social interaction","lecturer":"Judith Holler","duration":"2 hours","date":"29 May, 2017","venue":"Gothenburg","slides":{"publicURL":"/static/c29a40068173b37410f7c13e66c1cbfc/1644338_gothenburg-2017_schlangen.pdf"}},"fields":{"slug":"/events/seminars/2017-05-29/Judith-Holler-On/"}}},"pageContext":{"slug":"/events/seminars/2017-05-29/Judith-Holler-On/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2017-09-13/Sharid-Loaiciga-What/page-data.json b/page-data/events/seminars/2017-09-13/Sharid-Loaiciga-What/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2017-09-13/Sharid-Loaiciga-What/","result":{"data":{"markdownRemark":{"html":"
Machine translation of pronouns is problematic for different reasons. Languages differ in their pronoun systems, creating mismatches in features like gender, number, case, formality, animacy and overtness. Another reason is functional ambiguity. Some pronouns have the same surface form but different functions. In this talk, I will address the problem of predicting one of three functions of the English pronoun 'it': anaphoric (e.g., 'The party ended late. It was fun.'), event reference (e.g., 'He can't speak Finnish. It annoys me.') and pleonastic (e.g., 'It's been raining all day.').
\n
I will present experiments using a maximum entropy classifier (MaxEnt) trained on gold-standard data and self-training experiments with a recurrent neural network classifier (RNN) trained on silver standard data, annotated using the MaxEnt classifier. I will show an analysis demonstrating that these models, rather than one being better than the other, have different strengths. I will also present an example of the integration of source pronoun function into an n-gram language model used for target pronoun translation prediction.
\n
The it-disambiguation task is valuable for MT but also for the field of coreference resolution. Standard coreference resolution systems focus on identifying nominal-referential instances, de facto grouping together and discarding the event and pleonastic categories. Linguistically, however, event instances are also referential. I will finish the talk by brainstorming some ideas about how to integrate my work into this field.
","frontmatter":{"title":"What is it? Disambiguating the different readings of the pronoun 'it'","lecturer":"Sharid Loaiciga","duration":"2 hours","date":"13 Sep, 2017","venue":"Gothenburg","slides":{"publicURL":"/static/d23d5bc27959a1b9fcc30608d662bf2f/1657021_whatisit-slides.pdf"}},"fields":{"slug":"/events/seminars/2017-09-13/Sharid-Loaiciga-What/"}}},"pageContext":{"slug":"/events/seminars/2017-09-13/Sharid-Loaiciga-What/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2017-10-25/Aleksandre-Maskharashvili-Abstract/page-data.json b/page-data/events/seminars/2017-10-25/Aleksandre-Maskharashvili-Abstract/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2017-10-25/Aleksandre-Maskharashvili-Abstract/","result":{"data":{"markdownRemark":{"html":"
Various theories have been proposed in order to analyze a discourse in terms of rhetorical (discourse) relations. The main assumption in those theories is that every meaningful piece of a felicitous discourse is related to some piece of that discourse with a rhetorical relation. This gives rise to a notion of a rhetorical (discourse) structure. In order to analyze a discourse, both from the parsing and structural points of view, formal grammars of discourse, D-STAG and D-LTAG, were proposed. They build their discourse grammars on top of sentence-level grammars. Discourse connectives are main lexical means for expressing rhetorical relations. They play a similar role in discourse grammars as words do in sentence-level grammars. A discourse connective may appear inside a clause (a clause-medial position) or in front of a clause (a clause-initial position). The grammars of D-STAG and D-LTAG are capable of modeling cases where discourse connectives occupy only clause-initial positions. To process discourses where a discourse connective appears at a clause-medial position, D-STAG and D-LTAG make use of preprocessing of a discourse, which involves moving connectives from clause-medial positions to clause-initial ones. Afterwards, the grammars of D-STAG and D-LTAG can be employed to parse the discourse and simultaneously construct its rhetorical structure. Thus, D-STAG and D-LTAG, each makes use of a two-step process to analyze a discourse. We develop a single-step, purely grammatical approach for analyzing a discourse. Our framework is Abstract Categorial Grammars (ACGs). Our encoding falls into the class of second-order ACGs, which guarantees that the tasks of discourse parsing and generation are of polynomial complexity. In addition, our encoding puts together the discourse-level and sentence-level grammars within a single grammar. This makes our approach beneficial for reducing problems related to ambiguity that arise in the case of treating the discourse-level and sentence-level grammars separately.
","frontmatter":{"title":"An Abstract Categorial Grammar Approach to the Discourse Modeling","lecturer":"Aleksandre Maskharashvili","duration":"2 hours","date":"25 Oct, 2017","venue":"Gothenburg","slides":{"publicURL":"/static/624b7965bbe4e49c2cb0158d31949052/1662456_slides_25oct2017.pdf"}},"fields":{"slug":"/events/seminars/2017-10-25/Aleksandre-Maskharashvili-Abstract/"}}},"pageContext":{"slug":"/events/seminars/2017-10-25/Aleksandre-Maskharashvili-Abstract/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2017-11-17/Maxime-Amblard-Formal/page-data.json b/page-data/events/seminars/2017-11-17/Maxime-Amblard-Formal/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2017-11-17/Maxime-Amblard-Formal/","result":{"data":{"markdownRemark":{"html":"
This talk will present the project SLAM (Schizophrenia and Language - Analyse and Modelling). Since 2011, we build and analyse a corpus of interviews of patient with schizophrenia, in french. Schizophrenia is well-known among mental illnesses for the severity of the thought disorders it involves, and for their widespread and spectacular manifestations ranging from deviant social behavior to delusion, not to mention affective and sensory distortions. The goal of the SLAM project is twofold: (i) to discuss how the concepts of rationality and logicality may apply to conversational contexts in which one of the speakers is a patient with schizophrenia, and (ii) to use logical framework to model specific manifestations, namely disorders in conversational speech.
\n
Our data are taken from transcriptions of real conversations between a psychologist and a patient with schizophrenia. Data collection and selection relied on theoretical hypotheses from psychiatry and psychopathology. Confronted with such a pathological conversation, any \"ordinary\" speaker intuitively feels that there are some incoherencies or discontinuities. We use a DRT (Kamp and Reyle 1993) like semantics in order to propose an interpretation model for such incongruities.
\n
On our recent works, we focus on the extension of compositional semantics based on TTDL (de Groote 2006), a lambda-calculus with continuations. One of our research project is to develop TTDL for Dialogue, in the same perspective as TTR (Cooper and Ginzburg 2002, Cooper 2004, Cooper and Ranta 2008). (Another one is the french translation of the Fracas resource, but it is not directly rely to SLAM)
\n
The talk will present the SLAM corpus and project, and then (briefly) sketch the on-going works.
","frontmatter":{"title":"A Formal Account of Disorders in Dialogues","lecturer":"Maxime Amblard","duration":"2 hours","date":"17 Nov, 2017","venue":"Gothenburg","slides":{"publicURL":"/static/e23f0cbd5d664253cc34cbf00e16fc31/1674508_claspamblard.pdf"}},"fields":{"slug":"/events/seminars/2017-11-17/Maxime-Amblard-Formal/"}}},"pageContext":{"slug":"/events/seminars/2017-11-17/Maxime-Amblard-Formal/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2017-12-13/Rasmus-Blanck-Rough/page-data.json b/page-data/events/seminars/2017-12-13/Rasmus-Blanck-Rough/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2017-12-13/Rasmus-Blanck-Rough/","result":{"data":{"markdownRemark":{"html":"
Rough sets were introduced by Pawlak in 1982, as a generalisation of classical set theory. A rough set is characterised by its upper and lower approximation, respectively, the objects that might belong to the set, and the objects that surely belong to the set. Although this approach has some similarities with fuzzy set theory, the perceived fuzziness of rough sets does not come from an underlying fuzzy logic, making rough sets a little less fuzzy than fuzzy sets.
\n
In this talk, I will entertain the possibility that rough sets can be used to model degree modifiers. After an introduction to rough set theory, I will briefly discuss its relation to fuzzy set theory, and point out some possible advantages of rough sets. Finally, I will reintroduce some fuzziness by generalising to probabilistic rough sets.
","frontmatter":{"title":"Rough Sets and Degree Modifiers","lecturer":"Rasmus Blanck","duration":"2 hours","date":"13 Dec, 2017","venue":"Gothenburg","slides":{"publicURL":"/static/70a4204b9331739296648c47266a3595/1674007_blanck.pdf"}},"fields":{"slug":"/events/seminars/2017-12-13/Rasmus-Blanck-Rough/"}}},"pageContext":{"slug":"/events/seminars/2017-12-13/Rasmus-Blanck-Rough/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-03-08 (2)/Dag-Haug-Glue/page-data.json b/page-data/events/seminars/2018-03-08 (2)/Dag-Haug-Glue/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-03-08 (2)/Dag-Haug-Glue/","result":{"data":{"markdownRemark":{"html":"
In this talk I explore the use of techniques from Glue semantics for composing meaning representations based on Universal Dependencies (UD) syntactic structures. The UD tree is rewritten as meaning constructors consisting of a lambda term over DRSs and a linear logic formula that guides the semantic composition. Unlike many other frameworks, Glue semantics does not presuppose a one-to-one mapping from syntax to semantics, which is useful when dealing with highly underspecified syntactic representations of the UD kind.
","frontmatter":{"title":"Glue semantics for Universal dependencies","lecturer":"Dag Haug","duration":"2 hours","date":"08 Mar, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/b4694914c574703fa77a07140f339f32/1685343_gothamhaug.pdf"}},"fields":{"slug":"/events/seminars/2018-03-08 (2)/Dag-Haug-Glue/"}}},"pageContext":{"slug":"/events/seminars/2018-03-08 (2)/Dag-Haug-Glue/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-03-08/Stephan-Oepen-Holes/page-data.json b/page-data/events/seminars/2018-03-08/Stephan-Oepen-Holes/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-03-08/Stephan-Oepen-Holes/","result":{"data":{"markdownRemark":{"html":"
In joint work with Dan Flickinger, we provide a semi-formal review of the meaning construction process in the English Resource Grammar (ERG), which derives underspecified logical-form meaning representations for a broad range of lexical classes and syntactico-semantic constructions in English. We critically revise and extend the proposal for an MRS algebra by Copestake et al. (2001;ACL) and speculate about the applicability of ERG-style meaning construction to the more coarse-grained syntactic analyses of enhanced Universal Dependencies.
","frontmatter":{"title":"Holes in Meaning Construction with Minimal Recursion Semantics","lecturer":"Stephan Oepen","duration":"2 hours","date":"08 Mar, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/59e6c0d3e00618f5895ffa23bef20f65/1685022_gothenburg.8-mar-18.pdf"}},"fields":{"slug":"/events/seminars/2018-03-08/Stephan-Oepen-Holes/"}}},"pageContext":{"slug":"/events/seminars/2018-03-08/Stephan-Oepen-Holes/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-03-12/Sam-Bowman-Two/page-data.json b/page-data/events/seminars/2018-03-12/Sam-Bowman-Two/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-03-12/Sam-Bowman-Two/","result":{"data":{"markdownRemark":{"html":"
This talk will present two ongoing projects that aim to lay the groundwork to use results from artificial neural networks research in NLP to inform research on core linguistic questions. The first project (based partially on WIlliams et al. 2017) concerns latent tree learning: efforts to discover the optimal tree structures for use in guiding semantic composition for applied language understanding tasks. The second concerns the evaluation of simple neural network models on the classic linguistic acceptability judgments task. This project (in progress, with Alex Warstadt) builds on Lau, Clark, and Lappin '16, and introduces a new dataset of expert acceptability judgments and a new suite of semi-supervised learning experiments with neural networks.
\n
ReferencesWilliams, Adina, Andrew Drozdov, and Samuel R. Bowman. \"Learning to parse from a semantic objective: It works. Is it syntax?.\" arXiv preprint arXiv:1709.01121 (2017).
\n
Lau, Jey Han, Alexander Clark, and Shalom Lappin. \"Grammaticality, acceptability, and probability: a probabilistic view of linguistic knowledge.\" Cognitive Science 41.5 (2017): 1202-1241.
","frontmatter":{"title":"Two Early Efforts toward Using Deep Learning in Syntax and Semantics","lecturer":"Sam Bowman","duration":"2 hours","date":"12 Mar, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/eccece4ed538d0b4810c1b2cc04a36ff/1684991_go--teborg-i.pdf"}},"fields":{"slug":"/events/seminars/2018-03-12/Sam-Bowman-Two/"}}},"pageContext":{"slug":"/events/seminars/2018-03-12/Sam-Bowman-Two/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-03-15/Sam-Bowman-Sentence/page-data.json b/page-data/events/seminars/2018-03-15/Sam-Bowman-Sentence/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-03-15/Sam-Bowman-Sentence/","result":{"data":{"markdownRemark":{"html":"
Artificial neural networks now represent the state of the art in most large-scale applied language understanding tasks. This talk presents a few methods and results, organized around the task of recognizing textual entailment, which measure the degree to which these models can or do learn something resembling compositional semantics. I discuss experiments on artificial data and on a hand-built million-example corpus of natural data (SNLI/MultiNLI), and report encouraging results.
\n
ReferencesBowman, Samuel R., Christopher Potts, and Christopher D. Manning. \"Recursive neural networks can learn logical semantics.\" arXiv preprint arXiv:1406.1827 (2014).
","frontmatter":{"title":"Sentence Understanding with Neural Networks and Natural Language Inference","lecturer":"Sam Bowman","duration":"2 hours","date":"15 Mar, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/832f3932063fe0cdfc9dc09468cef619/1684992_go--teborg-ii.pdf"}},"fields":{"slug":"/events/seminars/2018-03-15/Sam-Bowman-Sentence/"}}},"pageContext":{"slug":"/events/seminars/2018-03-15/Sam-Bowman-Sentence/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-05-14/Richard-Sproat-computational/page-data.json b/page-data/events/seminars/2018-05-14/Richard-Sproat-computational/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-05-14/Richard-Sproat-computational/","result":{"data":{"markdownRemark":{"html":"
This paper reports on a computational simulation of the evolution of early writing systems from pre-linguistic symbol systems, something for which there is poor evidence in the archaeological record. The simulation starts with a completely concept-based set of symbols, and then spreads those symbols and combinations of these to morphemes of artificially generated languages based on semantic and phonetic similarity.
\n
While the simulation is crude, it is able to account for the observation that the development of writing systems ex nihilo seems to be facilitated in languages that have largely monosyllabic morphemes, or that have abundant ablauting processes. We are also able to model what appears to be two possible lines of development in early writing whereby symbols are associated to the sounds of all morphemes linked to a concept (as seems to have been the case in Sumerian), versus just one morpheme linked to a concept (as seems to have been the case in Chinese). Finally, the model is able to offer an account of the apparent rapid development of writing in Mesopotamia that obviates the need to posit a conscious invention of writing, as proposed by Jean-Jacques Glassner. The proposed model thus opens a new approach to thinking about the emergence of writing and its properties, something that, as noted above, has scant direct archaeological evidence.
\n
The software is released open-source on GitHub.
","frontmatter":{"title":"A computational model of the discovery of writing","lecturer":"Richard Sproat","duration":"2 hours","date":"14 May, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/fc68e8241401ed189820cdba608a3711/1689826_gothenburg1.pdf"}},"fields":{"slug":"/events/seminars/2018-05-14/Richard-Sproat-computational/"}}},"pageContext":{"slug":"/events/seminars/2018-05-14/Richard-Sproat-computational/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-05-16/Richard-Sproat-Induction/page-data.json b/page-data/events/seminars/2018-05-16/Richard-Sproat-Induction/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-05-16/Richard-Sproat-Induction/","result":{"data":{"markdownRemark":{"html":"
In this talk I will introduce our work on applying neural methods to the problem of text normalization. Though the performance of the system overall is good, it is prone to what we term \"silly errors\", where for example, \"2mA\" is read as \"two million liters\". We have found that finite-state covering grammars are useful for mitigating such errors, and I will discuss induction of such covering grammars from data. I start with presenting our work on inducing grammars for number names (123 verbalized as one hundred (and) twenty three). This work draws inspiration from the (small) linguistics literature on number names, and our method allows one to train finite-state transducers with small amounts of data (a few hundred examples). I will compare the performance with that of an RNN trained on orders of magnitude more data. I will then report on our ongoing work on inducing grammars for a wider range of text normalization problems.
","frontmatter":{"title":"Induction of Finite-State Covering Grammars for Text Normalization (joint work with Kyle Gorman)","lecturer":"Richard Sproat","duration":"2 hours","date":"16 May, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/d71d6859b97d93a89c8c4bfa4e45ab00/1689827_gothenburg2.pdf"}},"fields":{"slug":"/events/seminars/2018-05-16/Richard-Sproat-Induction/"}}},"pageContext":{"slug":"/events/seminars/2018-05-16/Richard-Sproat-Induction/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-10-03/Rasmus-Blanck-Compositional/page-data.json b/page-data/events/seminars/2018-10-03/Rasmus-Blanck-Compositional/page-data.json
new file mode 100644
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--- /dev/null
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-10-03/Rasmus-Blanck-Compositional/","result":{"data":{"markdownRemark":{"html":"
We propose a compositional Bayesian semantics that interprets declarative sentences in a natural language by assigning them probability conditions. These are conditional probabilities that estimate the likelihood that a competent speaker would endorse an assertion, given certain hypotheses. Our semantics is implemented in a functional programming language. It estimates the marginal probability of a sentence through Markov Chain Monte Carlo (MCMC) sampling of objects in vector space models satisfying specified hypotheses. We apply our semantics to examples with several predicates and generalised quantifiers, including higher-order quantifiers. It captures the vagueness of predication (both gradable and non-gradable), without positing a precise boundary for classifier application. We present a basic account of semantic learning based on our semantic system. We compare our proposal to other current theories of probabilistic semantics, and we show that it offers several important advantages over these accounts.
","frontmatter":{"title":"A Compositional Bayesian Semantics for Natural Language","lecturer":"Rasmus Blanck","duration":"2 hours","date":"03 Oct, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/8e0b71e3d64dea98972e6c12213dd320/1705608_bbcl_clasp_handout-rasmus.pdf"}},"fields":{"slug":"/events/seminars/2018-10-03/Rasmus-Blanck-Compositional/"}}},"pageContext":{"slug":"/events/seminars/2018-10-03/Rasmus-Blanck-Compositional/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-10-10/Mehdi-Ghanimifard-Spatial/page-data.json b/page-data/events/seminars/2018-10-10/Mehdi-Ghanimifard-Spatial/page-data.json
new file mode 100644
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--- /dev/null
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-10-10/Mehdi-Ghanimifard-Spatial/","result":{"data":{"markdownRemark":{"html":"
Understanding and generating spatial descriptions requires, among other things, knowledge about how objects are related geometrically. The wide usage of neural language models in different areas, including in generation of scene descriptions, motivates our study how spatial geometric knowledge is encoded in them. We first examine how spatial descriptions are attended by state of the art model of attention in CNNs. We argue that adaptive attention is good at predicting what the objects are but less good on how they relate geometrically. Then we explore different models of encoding explicit spatial information in an end-to-end scene description model. We summarize with the implications of this work for improving image captioning system.
","frontmatter":{"title":"Spatial Knowledge In Neural Language Models","lecturer":"Mehdi Ghanimifard","duration":"2 hours","date":"10 Oct, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/29ea204e15dcc74ac58b26cd9244db61/1705654_presentation_clasp-mehdi.pdf"}},"fields":{"slug":"/events/seminars/2018-10-10/Mehdi-Ghanimifard-Spatial/"}}},"pageContext":{"slug":"/events/seminars/2018-10-10/Mehdi-Ghanimifard-Spatial/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-10-17/Vlad-Maraev-Towards/page-data.json b/page-data/events/seminars/2018-10-17/Vlad-Maraev-Towards/page-data.json
new file mode 100644
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--- /dev/null
+++ b/page-data/events/seminars/2018-10-17/Vlad-Maraev-Towards/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-10-17/Vlad-Maraev-Towards/","result":{"data":{"markdownRemark":{"html":"
This paper presents the first attempt to implement a dialogue manager based on the KoS framework for dialogue context and interaction. We utilise our own proof-theoretic implementation of Type Theory with Records (TTR) and implement a basis dialogue that involves mutual greeting. We emphasize the importance of findings in dialogue theory for designing dialogue systems which we illustrate by sketching an account for question-answer relevance.
","frontmatter":{"title":"Towards KoS/TTR-based proof-theoretic dialogue management (joint work with: Jonathan Ginzburg (Université Paris Diderot), Staffan Larsson, Ye Tian (Amazon Research), Jean-Philippe Bernardy)","lecturer":"Vlad Maraev","duration":"2 hours","date":"17 Oct, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/0e8e41f49889bdf2e00e323ec673f557/1705644_slides-vlad-clasp.pdf"}},"fields":{"slug":"/events/seminars/2018-10-17/Vlad-Maraev-Towards/"}}},"pageContext":{"slug":"/events/seminars/2018-10-17/Vlad-Maraev-Towards/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-10-22/Marco-Baroni-Tabula/page-data.json b/page-data/events/seminars/2018-10-22/Marco-Baroni-Tabula/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-10-22/Marco-Baroni-Tabula/","result":{"data":{"markdownRemark":{"html":"
As recurrent neural networks (RNNs) have recently reached striking performance levels in a variety of natural language processing tasks, there has been a revival of interest in whether these generic sequence processing devices are effectively capturing linguistic knowledge. Nearly all studies of this sort, however, initialize the RNNs with a vocabulaty of known words, and feed them tokenized input during training. We are instead running an extensive, multi-lingual (English/German/Italian) study of the linguistic knowledge induced by RNNs trained at the character level on input data with whitespace removed. Our networks, thus, face a tougher and more cognitively realistic task, having to discover all the levels of the linguistic hierarchy from scratch. Our current results show that these \"near tabula rasa\" RNNs are implicitly encoding a surprising amount of phonological, lexical, morphological, syntactic and semantic information, opening the doors to intriguing speculations about the degree of prior knowledge that is necessary for succesful language learning.
","frontmatter":{"title":"Tabula nearly rasa: Probing the linguistic knowledge of character-level neural language models trained on unsegmented text (work in collaboration with Michael Hahn)","lecturer":"Marco Baroni","duration":"2 hours","date":"22 Oct, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/93c3d4787e8271b5b9864d99f31f62a5/1704929_marco-clasp-oct2018-tabula-rasa.pdf"}},"fields":{"slug":"/events/seminars/2018-10-22/Marco-Baroni-Tabula/"}}},"pageContext":{"slug":"/events/seminars/2018-10-22/Marco-Baroni-Tabula/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-10-24/Marco-Baroni-Systematic/page-data.json b/page-data/events/seminars/2018-10-24/Marco-Baroni-Systematic/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-10-24/Marco-Baroni-Systematic/","result":{"data":{"markdownRemark":{"html":"
Recurrent neural networks (RNNs) are remarkably general learning systems that, given appropriate training examples, can handle complex sequential processing tasks, such as those frequently encountered in language and reasoning. However, RNNs are remarkably sample-heavy, typically requiring hundreds of thousands of examples to master tasks that humans can solve after just a few exposures. The first set of experiments I will present shows that modern RNNs, just like their nineties ancestors, have problems with systematic compositionality, that is, the ability to extract general rules from the training data, and combine them to process new examples. As systematic compositionality allows very fast generalization to unseen cases, lack of compositional learning might be one root of RNNs training data thirst. I will next present a study where RNNs must solve an apparently simple task where correct generalization relies on function composition. The results suggest that a large random search in RNN space finds a small portion of models that converged to a (limited) compositional solution. Finally, if time allows, I will present ongoing work in which we study the compositional abilities of human subjects, trying to uncover the priors that subtend their generalization skills.
","frontmatter":{"title":"Systematic compositionality in recurrent neural networks (and, if time allows, humans) (joint work with Brenden Lake, João Loula, Adam Liska, Germán Kruszewski, Tal Linzen)","lecturer":"Marco Baroni","duration":"2 hours","date":"24 Oct, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/fe1b398a82e63dd71c99e0668d706b79/1704969_marco-clasp-oct2018-composition.pdf"}},"fields":{"slug":"/events/seminars/2018-10-24/Marco-Baroni-Systematic/"}}},"pageContext":{"slug":"/events/seminars/2018-10-24/Marco-Baroni-Systematic/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-10-31/Bill-Noble-Measuring/page-data.json b/page-data/events/seminars/2018-10-31/Bill-Noble-Measuring/page-data.json
new file mode 100644
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--- /dev/null
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-10-31/Bill-Noble-Measuring/","result":{"data":{"markdownRemark":{"html":"
In conversation, speakers tend to adapt their speech to be more similar to that of their interlocutor. Such alignment is observed across various linguistic phenomena. In this talk, we will consider linguistic style alignment and some ways to measure it. We will also explore whether lingistic style alignment is sensitive to social factors, such as social network centrality, or if it can be explained by automatic psychological priming alone.
","frontmatter":{"title":"Measuring linguistic style alignment: Social and psychological perspectives","lecturer":"Bill Noble","duration":"2 hours","date":"31 Oct, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/1856ee72aa61b94b6acd0ebc7bcd591a/1705710_2018-10-31_clasp_seminar_bill_noble.pdf"}},"fields":{"slug":"/events/seminars/2018-10-31/Bill-Noble-Measuring/"}}},"pageContext":{"slug":"/events/seminars/2018-10-31/Bill-Noble-Measuring/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-11-14/Patrick-Blackburn-clarification/page-data.json b/page-data/events/seminars/2018-11-14/Patrick-Blackburn-clarification/page-data.json
new file mode 100644
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+++ b/page-data/events/seminars/2018-11-14/Patrick-Blackburn-clarification/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-11-14/Patrick-Blackburn-clarification/","result":{"data":{"markdownRemark":{"html":"
Slides
\n
The hypothesis motivating this talk is that conversational implicatures are an important source of clarification requests, and in this talk I will do two main things. First, I will motivate the hypothesis in theoretical, practical and empirical terms and formulate it as a concrete Clarification Potential Principle: implicatures may become explicit as fourth-level clarification requests. Second, I will present a framework for generating the clarification potential of an instruction by inferring its conversational implicatures with respect to a particular context. I will discuss the evaluation of the framework, illustrate its performance using a human-human corpus of situated conversations, and argue that much of the inference required can be handled using classical planning.
\n
This talk is based on joint work with Luciana Benotti of Logic, Interaction and Intelligent Systems Group, Universidad Nacional de Córdoba, Argentina.
\n
Many of the main ideas can be found in the paper: Modeling the clarification potential of instructions: Predicting clarification requests and other reactions, by Luciana Benotti and Patrick Blackburn, Computer Speech & Language 45: 536-551 (2017)
","frontmatter":{"title":"The clarification potential of instructions: Predicting clarification requests","lecturer":"Patrick Blackburn","duration":"2 hours","date":"14 Nov, 2018","venue":"Gothenburg","slides":null},"fields":{"slug":"/events/seminars/2018-11-14/Patrick-Blackburn-clarification/"}}},"pageContext":{"slug":"/events/seminars/2018-11-14/Patrick-Blackburn-clarification/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-11-20/Ielka-van-der-Sluis-PAT/page-data.json b/page-data/events/seminars/2018-11-20/Ielka-van-der-Sluis-PAT/page-data.json
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--- /dev/null
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-11-20/Ielka-van-der-Sluis-PAT/","result":{"data":{"markdownRemark":{"html":"
Slides
\n
In this talk I will present the PAT project in which we investigate the use, effects and optimisation of documents that contain pictures and text (PAT). While the benefit of including pictures has been established, the design of pictures, text, and picture-text relation(s) has not been researched in a systematic manner. PAT aims to gain an in-depth understanding of their characteristics to augment existing theories on cognitive processing of multimodal presentations. Resulting models will be validated by implementing them in natural language generation algorithms and comparing their output to human-authored presentations.
\n
The PAT project launches a methodical investigation of multimodal instructions (MIs) used in first-aid practices to help people in need. Currently, there are no guidelines for the design of MIs that effectively instruct people to operate an AED, place a victim in a recovery position, remove ticks etc. The huge variations in pictorial and verbal means employed in these instructions demonstrate the urgency to obtain validated guidelines based on empirical evidence collected from readers and users. Investigating multimodality in these MIs allows us to evaluate the effectiveness of combining pictures and text in a practical context focussing on e.g. attention, comprehension, recall, user judgements, and task performance.
\n
The PAT project makes use of a annotated corpus of MIs and a workbench that has been developed for the annotation and retrieval of the MIs. The MIs are first-aid instructions that appear in Het Oranje Kruisboekje and variations of these instructions from other sources, like hospitals, health and safety organisations and the internet.
\n
In the PAT project approaches from Information Design Research and Computational Linguistics employing corpus collection and analysis, (automatic) annotation, experimentation, and natural language generation are combined. The project will deliver theoretical results in terms of empirically validated models for effective MIs. Results of practical value include new annotated multimodal corpora, implemented taggers to automatically annotate potentially effective properties of MIs, algorithms to automatically generate effective text-picture combinations and authoring guidelines to produce good quality instructions.
","frontmatter":{"title":"The PAT project: Annotation and Evaluation of Pictures and Text","lecturer":"Ielka van der Sluis","duration":"2 hours","date":"20 Nov, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/91e74e24c61ebfa9b3b7868dd164a66b/1708065_reg-lecture_gothenburg_2018_final_ivds.pdf"}},"fields":{"slug":"/events/seminars/2018-11-20/Ielka-van-der-Sluis-PAT/"}}},"pageContext":{"slug":"/events/seminars/2018-11-20/Ielka-van-der-Sluis-PAT/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-11-21/Bartosz-Wieckowski-Intuitionistic/page-data.json b/page-data/events/seminars/2018-11-21/Bartosz-Wieckowski-Intuitionistic/page-data.json
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--- /dev/null
+++ b/page-data/events/seminars/2018-11-21/Bartosz-Wieckowski-Intuitionistic/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-11-21/Bartosz-Wieckowski-Intuitionistic/","result":{"data":{"markdownRemark":{"html":"
In this talk, we will consider a natural deduction system which aims at the proof-theoretic analysis of reasoning with complex multi-agent belief (resp. knowledge) constructions (involving, e.g., forms of reciprocating or universal belief, or intentional identity). Making use of a normalization result for the system, we shall propose a proof-theoretic semantics for the intensional operators for intuitionistic belief and knowledge which explains their meaning entirely by appeal to the structure of derivations. Since the system enjoys the subexpression property, a refinement of the subformula property, it is fully analytic. We will also compare this approach to the logic and semantics of belief and knowledge with other intuitionistic approaches.
","frontmatter":{"title":"Intuitionistic multi-agent subatomic natural deduction for belief and knowledge","lecturer":"Bartosz Wieckowski","duration":"2 hours","date":"21 Nov, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/3a8a833f2cce60596845fcd375143f39/1708035_2018_gothenburg_clasp_slides.pdf"}},"fields":{"slug":"/events/seminars/2018-11-21/Bartosz-Wieckowski-Intuitionistic/"}}},"pageContext":{"slug":"/events/seminars/2018-11-21/Bartosz-Wieckowski-Intuitionistic/"}},"staticQueryHashes":["3875542623"]}
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diff --git "a/page-data/events/seminars/2018-11-28/Devdatt-Dubhashi,-Mikael-K\303\245geb\303\244ck-and-Asad-Sayeed-Learning/page-data.json" "b/page-data/events/seminars/2018-11-28/Devdatt-Dubhashi,-Mikael-K\303\245geb\303\244ck-and-Asad-Sayeed-Learning/page-data.json"
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--- /dev/null
+++ "b/page-data/events/seminars/2018-11-28/Devdatt-Dubhashi,-Mikael-K\303\245geb\303\244ck-and-Asad-Sayeed-Learning/page-data.json"
@@ -0,0 +1 @@
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Although languages vary enormously, there are nevertheless universal tendencies in word meanings, such that similar or identical meanings often appear in unrelated languages. A major question is how to account for such semantic universals and variation of the lexicon in a principled and unified way. An influential approach to this question proposes that word meanings may reflect adaptation to pressure for efficient communication -- this principle holds that languages are under pressure to be simultaneously informative (so as to support effective communication) and simple (so as to minimize cognitive load). We offer computational support for this principle in the domain of color words i.e, how languages partition the semantic space of colours by linguistic terms. Our framework uses reinforcement learning for automated agents to generate partitions that are efficient and consistent with those found in many languages in the World Colour Survey. We argue that our framework provides a flexible and powerful tool to address similar fundamental questions about universals in other domains as well.
","frontmatter":{"title":"Learning (a language) to Communicate Efficiently","lecturer":"Devdatt Dubhashi, Mikael Kågebäck and Asad Sayeed","duration":"2 hours","date":"28 Nov, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/391df9c3c6ec62f534e85872b5063257/1709160_small_reinforce_color.pdf"}},"fields":{"slug":"/events/seminars/2018-11-28/Devdatt-Dubhashi,-Mikael-Kågebäck-and-Asad-Sayeed-Learning/"}}},"pageContext":{"slug":"/events/seminars/2018-11-28/Devdatt-Dubhashi,-Mikael-Kågebäck-and-Asad-Sayeed-Learning/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-12-03/Zhaohui-Luo-Universes/page-data.json b/page-data/events/seminars/2018-12-03/Zhaohui-Luo-Universes/page-data.json
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--- /dev/null
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@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-12-03/Zhaohui-Luo-Universes/","result":{"data":{"markdownRemark":{"html":"
In type theory, a universe is a type of types. Universes play important roles when modern type theories (MTTs) are employed as foundational languages for linguistic semantics. In this talk, I'll report work on two kinds of universes in the study of MTT-semantics. The first kind may be called linguistic universes which include CN, the universe of common nouns, and LType, the universe employed in the study of coordination. It is shown how they are introduced and used in semantic studies and, in particular, their usefulness is reflected in how they facilitate \\Pi-polymorphism in various semantic formalisations.
\n
I shall then study logical universes. In order to formulate MTT-semantics adequately, proof irrelevance needs to be enforced in the underlying type theory. For example, in type theory UTT, this is possible because there is the universe Prop of all logical propositions. However, in Martin-Löf's type theory, this is impossible because types and propositions are identified in MLTT. I propose that the extension of MLTT with h-logic, as developed in the HoTT project, can be used adequately as a foundational language for MTT-semantics, since there is a built-in notion of proof irrelevance in h-logic.
","frontmatter":{"title":"Universes in MTT-semantics","lecturer":"Zhaohui Luo","duration":"2 hours","date":"03 Dec, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/f3babc604d5a0b8caafd770e70cf336a/1709457_clasp18universes.pdf"}},"fields":{"slug":"/events/seminars/2018-12-03/Zhaohui-Luo-Universes/"}}},"pageContext":{"slug":"/events/seminars/2018-12-03/Zhaohui-Luo-Universes/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-12-05/Zhaohui-Luo-Dependent/page-data.json b/page-data/events/seminars/2018-12-05/Zhaohui-Luo-Dependent/page-data.json
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--- /dev/null
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-12-05/Zhaohui-Luo-Dependent/","result":{"data":{"markdownRemark":{"html":"
This talk studies how dependent types can be employed for a refined treatment of event types, offering a nice improvement to Davidson's event semantics. We consider dependent event types indexed by thematic roles (DETs) and illustrate how, in the presence of refined event types, subtyping plays an essential role in semantic interpretations.
\n
Two applications of DETs are studied. The first shows that DETs give a natural solution to an incompatibility problem (sometimes called event quantification problem) in combining event semantics with the traditional compositional semantics. The second concerns selectional restriction: it is shown that DETs offer flexible but nice treatments of selectional restriction in the MTT-semantic setting with events.
","frontmatter":{"title":"Dependent Event Types","lecturer":"Zhaohui Luo","duration":"2 hours","date":"05 Dec, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/020ca017a5b4024c0de1386fa3fa4ecd/1709739_clasp18event.pdf"}},"fields":{"slug":"/events/seminars/2018-12-05/Zhaohui-Luo-Dependent/"}}},"pageContext":{"slug":"/events/seminars/2018-12-05/Zhaohui-Luo-Dependent/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-12-12/Andy-Luecking-Turning/page-data.json b/page-data/events/seminars/2018-12-12/Andy-Luecking-Turning/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-12-12/Andy-Luecking-Turning/","result":{"data":{"markdownRemark":{"html":"
Some expressions seem to be more context-sensitive than others, namely indexical and demonstrative ones. Both kinds of expressions have a conspicuous commonality, however: they tend to co-occur or even are replaced by a non-verbal act such as a hand-and-arm gesture. Indicating can be achieved by pointing, demonstrating by an iconic gesture. Taking gestures semantically serious, it is claimed, entails modifications in the linguistic theorising on how context can turn into meaning. Based on experimental results, it is -- contrary to standard Kaplanian claims -- argued that pointing gestures do not give rise to direct reference, but rather serve a descriptive, locative function. This reconsideration of reference has repercussions on the standard two-stage view on deferred reference, which are discussed and tentatively solved. A semantic account to iconic gestures is derived from event metaphysics, leading to \"locomotor propositions\" consisting of a situation-semantic judgment involving a gesture event and a semantic type. Combining co-speech gestures with plural noun phrases (NPs) also runs into difficulties: NPs standardly modelled as generalised quantifiers do not provide discourse referents (DRs) as requires for multimodal integration. Accordingly and finally, a theory of quantified noun phrases is presented, that provides the required DRs and in this sense is \"referentially transparent\".
","frontmatter":{"title":"Turning context into meaning","lecturer":"Andy Luecking","duration":"2 hours","date":"12 Dec, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/1716bc07bc41e1c572962073b4fafa3e/1565719_jan-van-eijck-modelling-legal-relations.pdf"}},"fields":{"slug":"/events/seminars/2018-12-12/Andy-Luecking-Turning/"}}},"pageContext":{"slug":"/events/seminars/2018-12-12/Andy-Luecking-Turning/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2018-12-19/Riza-Batista-Detecting/page-data.json b/page-data/events/seminars/2018-12-19/Riza-Batista-Detecting/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2018-12-19/Riza-Batista-Detecting/","result":{"data":{"markdownRemark":{"html":"
As the book of religious teachings of Islam, the Quran is frequently cited on many platforms, e.g., on social media, in web sites, and in public speeches or interviews. As such, the Quran has become susceptible to misinterpretation ---intentional or otherwise---in human-articulated statements citing Quranic verses. This can also be attributed to the fact that Quranic verses have a high level of linguistic sophistication. For example, metaphors are often used in the Quran, especially as a means for persuasion. In our work, we seek to determine how close a human-articulated statement is to its cited Quranic verse. To this end, we are developing an approach based on the measurement of semantic similarity between any given pair of texts: a human-articulated statement and a verse from what is considered as a gold standard English version of the Quran. Specifically, we are automatically detecting metaphors in the statements, with the aim of assessing whether they are correct translations. As a supporting resource for development and evaluation, we are leveraging a manually annotated corpus consisting of 300 pairs of statements and verses.
","frontmatter":{"title":"Detecting semantic similarity between human-articulated statements and Quranic verses","lecturer":"Riza Batista","duration":"2 hours","date":"19 Dec, 2018","venue":"Gothenburg","slides":{"publicURL":"/static/e3948a2efbf40270c10b624c188f8e62/1711230_clasp-seminar-dec-2018---riza-batista.pdf"}},"fields":{"slug":"/events/seminars/2018-12-19/Riza-Batista-Detecting/"}}},"pageContext":{"slug":"/events/seminars/2018-12-19/Riza-Batista-Detecting/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2019-02-06/Vlad-Maraev,-Predicting/page-data.json b/page-data/events/seminars/2019-02-06/Vlad-Maraev,-Predicting/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2019-02-06/Vlad-Maraev,-Predicting/","result":{"data":{"markdownRemark":{"html":"
In this talk, we address the task of predicting spaces in interaction where laughter can occur. We introduce the new task of predicting actual laughs in dialogue and address it with various deep learning models, namely recurrent neural network (RNN), convolution neural network (CNN) and combinations of these. We also attempt to evaluate human performance for this task via an Amazon Mechanical Turk (AMT) experiment. The main finding of the present work is that deep learning models outperform untrained humans in this task.
","frontmatter":{"title":"Predicting laughter relevance spaces in dialogue","lecturer":"Vlad Maraev,","duration":"2 hours","date":"06 Feb, 2019","venue":"Gothenburg","slides":{"publicURL":"/static/ff4758a507cb042fb42afe18536aff85/1719750_vlad-maraev-presentation-slides-feb-6th.pdf"}},"fields":{"slug":"/events/seminars/2019-02-06/Vlad-Maraev,-Predicting/"}}},"pageContext":{"slug":"/events/seminars/2019-02-06/Vlad-Maraev,-Predicting/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2019-02-13/Kathrein-Abu-Kwaik,-Lexical/page-data.json b/page-data/events/seminars/2019-02-13/Kathrein-Abu-Kwaik,-Lexical/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2019-02-13/Kathrein-Abu-Kwaik,-Lexical/","result":{"data":{"markdownRemark":{"html":"
We conduct a computational cross dialectal lexical distance study to measure the similarities and differences between the Arabic dialects and the MSA. We exploit several methods from Natural Language Processing (NLP) and Information Retrieval (IR) like Vector Space Model (VSM), Latent Semantic Indexing (LSI) and Hellinger Distance (HD), and apply them on different Arabic dialectal corpora. We measure the overlap among all the dialects and compute the frequencies of the most frequent words in every dialect. The results are informative and indicate that Levantine dialects are very similar to each other and furthermore, that Palestinian appears to be the closest to MSA.
","frontmatter":{"title":"A Lexical Distance Study of Arabic Dialects","lecturer":"Kathrein Abu Kwaik,","duration":"2 hours","date":"13 Feb, 2019","venue":"Gothenburg","slides":{"publicURL":"/static/c5852c22b8163a941f19fd6e9bc75cdb/1718830_chatrien-qwaider.pdf"}},"fields":{"slug":"/events/seminars/2019-02-13/Kathrein-Abu-Kwaik,-Lexical/"}}},"pageContext":{"slug":"/events/seminars/2019-02-13/Kathrein-Abu-Kwaik,-Lexical/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2019-02-27/Heather-Burnett,-Conceptual/page-data.json b/page-data/events/seminars/2019-02-27/Heather-Burnett,-Conceptual/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2019-02-27/Heather-Burnett,-Conceptual/","result":{"data":{"markdownRemark":{"html":"
Since the mid 1990s, the development of mathematical and computational models of language variation and change, such as (Clark and Roberts, 1993; Niyogi and Berwick, 1997; Yang, 2000; Yang, 2002; Kauhanen and Walkden, 2018) among others, has yielded enormous advances in our understanding of the cognitive processes that underly these phenomena. However, although it has been observed since at least (Labov, 1963) that many (if not most) linguistic changes are socially conditioned, formal models have been almost exclusively focused on the grammatical and/or psychological aspects of change, neglecting its social aspects. On the other hand, many non-mathematically oriented approaches in sociolinguistics and linguistic anthropology (see (Bucholtz and Hall, 2005; Bucholtz and Hall, 2008) for an overview) have stressed the role that social meaning, ideologies and identity construction play in language use, and they have developed articulated theories of how meaning and ideological structure mediate the relation between social change and language change. The goal of this paper is to outline a model which brings together insights from identity-oriented theories of language change and unites them with formal theories of language use and understanding. More specifically, we use (Gärdenfors, 2000; Gärdenfors, 2014)¿s Conceptual Spaces framework to formalize speaker/listener ideological change and use epistemic game theory, particularly signaling games with an iterated best response solution concept, such as the Rational Speech Act model (RSA) (Franke, 2009; Frank and Goodman, 2012; Burnett, 2017) to formalize the link between ideology, linguistic meaning and language use. We then show how this new framework can be used to shed light on the mechanisms underlying socially-motivated change in French grammatical gender.
\n
Lecturer: Heather Burnett (LFF, CNRS Université Paris Diderot) (joint work with Oliver Bonami)
","frontmatter":{"title":"A Conceptual Spaces Model of Socially Conditioned Language Change","lecturer":"Heather Burnett,","duration":"2 hours","date":"27 Feb, 2019","venue":"Gothenburg","slides":null},"fields":{"slug":"/events/seminars/2019-02-27/Heather-Burnett,-Conceptual/"}}},"pageContext":{"slug":"/events/seminars/2019-02-27/Heather-Burnett,-Conceptual/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2019-03-08/Aarne-Talman,-Neural/page-data.json b/page-data/events/seminars/2019-03-08/Aarne-Talman,-Neural/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2019-03-08/Aarne-Talman,-Neural/","result":{"data":{"markdownRemark":{"html":"
Natural language inference (NLI), the task of determining if a sentence is entailed by one or more given sentences, has been a very popular line of research in the NLP community. Due to the popularity and recent advances in neaural network, architectures, significant progress has been made in NLI research, especially with the introduction of various pre-trained contextual language models, like ELMo and BERT. However, there are number of concerns also raised about the current NLI research mostly due to the shortcomings of the current NLI datasets.
\n
In my talk, I will introduce the neural network approaches used in NLI and describe our sentence representation architecture, Hierarchical BiLSTMs (HBMP), which has been successful in many NLI tasks. I will give an overview of some of the criticism and negative results in NLI and show how in our most recent experiments even the pre-trained language models fail to generalize across different NLI datasets.
","frontmatter":{"title":"Neural Network of NLI Fail to Capture the General Notion of Inference","lecturer":"Aarne Talman,","duration":"2 hours","date":"08 Mar, 2019","venue":"Gothenburg","slides":{"publicURL":"/static/813038bcfa8439a05caba7a3a6fca81f/1720939_seminar_gothenburg_march_2019.pdf"}},"fields":{"slug":"/events/seminars/2019-03-08/Aarne-Talman,-Neural/"}}},"pageContext":{"slug":"/events/seminars/2019-03-08/Aarne-Talman,-Neural/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2019-03-20/Oliver-Bott,-Incremental/page-data.json b/page-data/events/seminars/2019-03-20/Oliver-Bott,-Incremental/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2019-03-20/Oliver-Bott,-Incremental/","result":{"data":{"markdownRemark":{"html":"
This talk is about the incremental construction of the semantic representation. I will first briefly introduce an incremental semantic theory that can deal with incremental construal of scope readings in an event semantic framework. The main part of this talk, however, will be about processing evidence for or rather against such a fully incremental theory.
\n
In a running eye-tracking study, we (joint work with Fabian Schlotterbeck) investigate the time course of linear scope construal in sentences with a quantifier and negation. Semantic complexity is manipulated by comparing monotone increasing(UE) and monotone decreasing (DE) quantifiers (cf. Deschamps et al. 2015) in interaction with the presence or absence of sentence negation. An offline pretest confirmed that the sentences were interpreted as intended and a first eye-tracking experiment established clear processing differences between negated and non-negated scope disambiguated sentences with DE vs. UE quantifiers. DE quantifiers incurred overall more processing costs than UE quantifiers, and these processing costs interacted with the presence or absence of negation in the expected direction.
\n
(1-a) Mehr als die Hälfte der Studenten hat (nicht in der Mensa gegessen¿More than half of the students has (not)in the mensa eaten¿¿More than half of the students did (not) eat in the mensa¿¿
\n
(1-b) Weniger als die Hälfte der Studenten hat (nicht) in der Mensa gegessen¿Fewer than half of the students has (not) in the mensa eaten¿¿Fewer than half of the students did (not) eat in the mensa¿ ¿
\n
A second eye-tracking experiment tested sentences such as (1-a/b) with the main verb occurring only after the negation with sentences with the verb aß (ate) in verb second position before the negation. The verb position was manipulated to investigate whether effects of quantificational complexity could show up even before the verbal predicate was encountered (cf. Bott & Schlotterbeck, 2015 for the same logic). To our surprise, effects of semantic complexity only showed up at the very end of the sentences and during rereading.
\n
A third running eye-tracking experiment tests our materials embedded in larger discourse contexts establishing the Question Under Discussion (QUD): \"What proportion of the students did or did not eat in the mensa, respectively?\" Tian et al. (2016) proposed that non-incremental effects observed for processing negation may be due to the timing of QUD accommodation. Besides this contextual embedding the sentences were changed into cleft constructions (lit. transl. from German: It were less/more than half of the students, that (not) in the mensa have eaten). First results indicate: Even though the effects occurred earlier than in our previous experiments, complexity effects due to monotonicity still seem to only emerge after having read a complete minimal sentence including the verb. Furthermore, finding qualitatively the same pattern of effects suggests that semantic complexity is clearly at issue in sentences with DE quantifiers and negation beyond effects related to QUD accommodation.
\n
To summerize, the results of the present study on the time course of scope interpretation reveal essentially non-incremental effects. The processing of quantifier scope thus seems to depend on a larger domain than just the scopal operators themselves. Corroborating the conclusion drawn in Bott & Schlotterbeck (2015), quantifiers seem to be interpreted with respect to scope only after having encountered a complete minimal sentence. If time allows, I will contrast the non-incremental processing of scope information with results from experiments showing highly incremental, predictive processing of quantificational restriction. Taken together, our experiments suggest a qualitatively different time course of interpreting the scope and the restrictor argument during online semantic processing.
","frontmatter":{"title":"Incremental Interpretation of Relative Scope?","lecturer":"Oliver Bott,","duration":"2 hours","date":"20 Mar, 2019","venue":"Gothenburg","slides":{"publicURL":"/static/fef49558b703c1ff94bf19241ccfbe1c/1722552_gothenburg_bott_2019.pdf"}},"fields":{"slug":"/events/seminars/2019-03-20/Oliver-Bott,-Incremental/"}}},"pageContext":{"slug":"/events/seminars/2019-03-20/Oliver-Bott,-Incremental/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2019-03-27/Jey-Han-Lau,-Deep-speare:/page-data.json b/page-data/events/seminars/2019-03-27/Jey-Han-Lau,-Deep-speare:/page-data.json
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In this talk, I will present a paper on poetry generation that was published in ACL2018. In the paper we propose a joint architecture that captures language, rhyme and meter for sonnet modelling. We assess the quality of generated poems using crowd and expert judgements. We found that the stress and rhyme models perform very well, as generated poems are largely indistinguishable from human-written poems. Expert evaluation, however, reveals that a vanilla language model captures meter implicitly, and that machine-generated poems still underperform in terms of readability and emotion. Our research shows the importance expert evaluation for poetry generation, and that future research should look beyond rhyme/meter and focus on poetic language.
","frontmatter":{"title":"Deep-speare: A joint neural model of poetic language, meter and rhyme","lecturer":"Jey Han Lau,","duration":"2 hours","date":"27 Mar, 2019","venue":"Gothenburg","slides":{"publicURL":"/static/928abb0a0655e75f36243ba3368e96d3/1723708_sonnet.pdf"}},"fields":{"slug":"/events/seminars/2019-03-27/Jey-Han-Lau,-Deep-speare:/"}}},"pageContext":{"slug":"/events/seminars/2019-03-27/Jey-Han-Lau,-Deep-speare:/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2019-03-29/Jey-Han-Lau,-Early/page-data.json b/page-data/events/seminars/2019-03-29/Jey-Han-Lau,-Early/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2019-03-29/Jey-Han-Lau,-Early/","result":{"data":{"markdownRemark":{"html":"
Rumours can spread quickly through social media, and malicious ones can bring about significant economical and social impact. In this talk I'll present an on-going work on rumour detection; particularly, we are interested in understanding how early we can detect them. Although there are numerous studies on rumour detection, few are concerned with the timing of the detection. A successfully-detected malicious rumour can still cause significant damage if it isn't detected in a timely manner, and so timing is crucial. To address this, we present a novel methodology for early rumour detection. Our model treats social media posts (e.g. tweets) as a data stream and integrates reinforcement learning to learn the number minimum number of posts required before we classify an event as a rumour. Experiments on Twitter and Weibo demonstrate that our model identifies rumours earlier than state-of-the-art systems while maintaining a comparable accuracy.
","frontmatter":{"title":"Early rumour detection","lecturer":"Jey Han Lau,","duration":"2 hours","date":"29 Mar, 2019","venue":"Gothenburg","slides":{"publicURL":"/static/cf36d98279dbd71f2e4f0e0b37f86c79/1723742_rumour.pdf"}},"fields":{"slug":"/events/seminars/2019-03-29/Jey-Han-Lau,-Early/"}}},"pageContext":{"slug":"/events/seminars/2019-03-29/Jey-Han-Lau,-Early/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2019-04-10/Massimo-Poesio,-Disagreements/page-data.json b/page-data/events/seminars/2019-04-10/Massimo-Poesio,-Disagreements/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2019-04-10/Massimo-Poesio,-Disagreements/","result":{"data":{"markdownRemark":{"html":"
The assumption that natural language expressions have a single, discrete and clearly identifiable meaning in a given context, successfully challenged in lexical semantics by the rise of distributional models, nevertheless still underlies much work in computational linguistics, including work based on distributed representations. In this talk, I will first of all present the evidence that convinced us that the assumption that a single interpretation can always be assigned to anaphoric expression is no more than a convenient idealization. I will then discuss recent work on the DALI project that aims to develop a new model of interpretation that abandons this assumption for the case of anaphoric interpretation/coreference. I will present the recently released Phrase Detectives 2.1 corpus, containing around 2 million crowdsourced judgements for more than 100,000 markable, an average of 20 judgements per markable; the Mention Pair Annotation (MPA) Bayesian inference model developed to aggregate these judgements; and the results of a preliminary analysis of disagreements in the corpus suggesting that between 10& % and 30% of marbles in the corpus appear to be genuinely ambiguous.
\n
Joint work with Jon Chamberlain, Silviu Paun, Alexandra Uma, Juntago Yu, Derya Cokal, Janosch Haber, Richard Bartle and Udo Kruschwitz.
","frontmatter":{"title":"Disagreements in Anaphoric Interpretation","lecturer":"Massimo Poesio,","duration":"2 hours","date":"10 Apr, 2019","venue":"Gothenburg","slides":{"publicURL":"/static/5849995d753ba3c2e05f43bd8f84b5a4/1724686_massimo-poesio_disagreements-in-anaphoric-annotation.pdf"}},"fields":{"slug":"/events/seminars/2019-04-10/Massimo-Poesio,-Disagreements/"}}},"pageContext":{"slug":"/events/seminars/2019-04-10/Massimo-Poesio,-Disagreements/"}},"staticQueryHashes":["3875542623"]}
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diff --git "a/page-data/events/seminars/2019-04-17/Thomas-H\303\266rberg,-Expectation-based/page-data.json" "b/page-data/events/seminars/2019-04-17/Thomas-H\303\266rberg,-Expectation-based/page-data.json"
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2019-04-17/Thomas-Hörberg,-Expectation-based/","result":{"data":{"markdownRemark":{"html":"
Much research indicate that language processing is expectation-based, drawing on statistical patterns in the input (e.g., MacDonald 2013). In this talk, I present evidence for this idea from experimental and corpus-based studies on the comprehension and production of grammatical functions (GFs) in Swedish transitive sentences. The preferred word order in such sentences is SVO. However, Swedish also allows for OVS word ordering, with the object placed sentence-initially and the subject post-verbally. Since the NP argument GFs of such sentences may not be correctly determined from the sentence constituent order (i.e., NPs and verb), they are potentially ambiguous. They can therefore be costly to comprehend when the initial NP lacks case marking. In such cases, comprehenders need to revise their initial sentence interpretation as subject-initial upon encountering the disambiguating post-verbal subject NP (Hörberg et al. 2013).
\n
However, corpus-based and typological research shows that GFs correlate with prominence-based (e.g., animacy and definiteness) and verb-semantic (e.g., volitionality) information, both in the frequency distributions in language use within individual languages (e.g., Bouma 2008), and the grammatical encoding of GFs across languages (e.g., Aissen 2003), creating complex statistical regularities in the distribution of prominence-based, morphosyntactic and verb-semantic properties. These properties and their interplay may be utilized during encoding and decoding of GFs in production and comprehension in order to overcome potential ambiguity problems.
\n
I will present results from a corpus study of written Swedish investigating the distribution of these properties in subject-initial, object-initial and passive sentences. I will argue that writers tend to balance their use of these properties in order to avoid GF ambiguities. In particular, writers less frequently use OVS sentences when other morphosyntactic or animacy-based information about GFs are unavailible (Hörberg 2018). In such cases, writers more frequently use the unambiguous passive construction.
\n
I will then present an expectation-based model of processing difficulty during incremental GF assignment in Swedish transitive sentences, based upon the statistical regularities observed in the corpus data (Hörberg 2016). Processing difficulty is quantified as the on-line change in the expectation of a particular GF assignment (subject- or object-initial) upon encountering the properties of a constituent (e.g., NP2) with respect to the previously encountered properties (e.g., NP1 and verb(s)) in terms of Bayesian surprise.
\n
I will finally provide empirical evidence for this expectation-based model on the basis of a self-paced reading experiment, testing some of the most prominent model predictions. Here, by-region reading times converged with the region-specific Bayesian surprise predicted by the model. For example, NP2 reading times in ambiguous OVS sentences were mitigated when NP1 animacy and its interaction with verb class bias towards an object-initial word order.
\n
These findings provide evidence for the expectation-based account in that they indicate that language users are sensitive to statistical regularities in their language during both production and comprehension of GFs. During production, writers seem to balance their use of morphosyntactic and prominence-based cues to GFs in a manner that accommodatescomprehension. During comprehension, incremental GF assignment draws upon statistical regularities in the distribution of morphosyntactic, prominence-based and verb-semantic properties.
","frontmatter":{"title":"Expectation-based processing of grammatical functions in Swedish","lecturer":"Thomas Hörberg,","duration":"2 hours","date":"17 Apr, 2019","venue":"Gothenburg","slides":{"publicURL":"/static/c4b9da4522c3cf44fbb922e7a1d4f346/1725306_presentation_clasp_2019_thomas_hoerberg.pdf"}},"fields":{"slug":"/events/seminars/2019-04-17/Thomas-Hörberg,-Expectation-based/"}}},"pageContext":{"slug":"/events/seminars/2019-04-17/Thomas-Hörberg,-Expectation-based/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2019-05-09/Stergios-Chatzikyriakidis,-To/page-data.json b/page-data/events/seminars/2019-05-09/Stergios-Chatzikyriakidis,-To/page-data.json
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diff --git a/page-data/events/seminars/2019-05-28/Annie-Zaenen-WOPIS:/page-data.json b/page-data/events/seminars/2019-05-28/Annie-Zaenen-WOPIS:/page-data.json
new file mode 100644
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2019-05-28/Annie-Zaenen-WOPIS:/","result":{"data":{"markdownRemark":{"html":"
The talk is part of a very new project with Elisabet Engdahl and Filippa Lindahl. I will present some preliminary data on what one can find in first position in Swedish declarative main clauses and compare the situation in Swedish with that in Dutch. I discuss how relevant the notions of topic and focus are in the light of these data.
","frontmatter":{"title":"WOPIS: Remarks on Word Order, Prosody and Information Structure: the prefield in Swedish (and Dutch)","lecturer":"Annie Zaenen","duration":"2 hours","date":"28 May, 2019","venue":"Gothenburg","slides":{"publicURL":"/static/f1f156c310adba58403ddb36c1bd3a27/1733450_handout_for_gothenburg__copy_.pdf"}},"fields":{"slug":"/events/seminars/2019-05-28/Annie-Zaenen-WOPIS:/"}}},"pageContext":{"slug":"/events/seminars/2019-05-28/Annie-Zaenen-WOPIS:/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2019-05-29 (2)/Larry-Moss-Monotonicity/page-data.json b/page-data/events/seminars/2019-05-29 (2)/Larry-Moss-Monotonicity/page-data.json
new file mode 100644
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@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2019-05-29 (2)/Larry-Moss-Monotonicity/","result":{"data":{"markdownRemark":{"html":"
This talk reports on results in the last two years related to monotonicity in NLI. The starting point of this line of work was the suggestion by Johan van Benthem in the 1980's that one could combine the syntactic approach of categorial grammar (CG) with the semantic idea of monotonicity. Later, I set his ideas on a firmer footing and adapted them from (plain) CG to Mark Steedman's Combinatory CG (CCG). The move to CCG enables us to try the ideas on datasets of current interest, such as FraCaS and SICK, and to compare performance with tools coming from machine learning, such as BERT.
\n
The talk will show that one can do a certain amount of automated NLI using parse trees and polarity algorithms. It is hard to precisely say what that 'certain amount' comes to, but we have some quantitative data on the matter. The talk details comparisons both with other systems that use logic in some form or other, and also with systems that use deep learning alone.
\n
This is joint work with a number of people, especially Hai Hu.
","frontmatter":{"title":"Monotonicity in Natural Language Inference: An Update on Theory and Practice","lecturer":"Larry Moss","duration":"2 hours","date":"29 May, 2019","venue":"Gothenburg","slides":{"publicURL":"/static/8d2fd4f48542cbc6d3b47213c533e296/1733362_clasp5.29.2019.pdf"}},"fields":{"slug":"/events/seminars/2019-05-29 (2)/Larry-Moss-Monotonicity/"}}},"pageContext":{"slug":"/events/seminars/2019-05-29 (2)/Larry-Moss-Monotonicity/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2019-05-29/Lauri-Karttunen-Training/page-data.json b/page-data/events/seminars/2019-05-29/Lauri-Karttunen-Training/page-data.json
new file mode 100644
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--- /dev/null
+++ b/page-data/events/seminars/2019-05-29/Lauri-Karttunen-Training/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2019-05-29/Lauri-Karttunen-Training/","result":{"data":{"markdownRemark":{"html":"
Implicative constructions, such as manage to and waste a chance, possess an underlying semantic property that we call the signature of the construction. Implicatives are ubiquitous and the compositionality of their signatures make them an important object of study for Natural Language Understanding. To this end, we introduced the Stanford Corpus of Implicatives (SCI). Drawing inspiration from other Natural Language Inference (NLI) corpora, SCI contains a set of triplets premise, hypothesis, and label. The label indicates the semantic relation between the premise and the hypothesis: entailment, contradiction or neither. The mission of SCI is two-fold: first, to provide a systematic coverage of the large set of implicative constructions in English; and second, to allow for the exploration of a new family of meta-learner models that strive for modular and compositional learning by taking advantage of the existence of the signatures. In particular, we introduced a new meta-learning model, the recursive routing networks (RRN), that efficiently learn to specialize to the fine-grained inferential signatures from the SCI corpus. We review the ability to generalize from seen constructions to similar unseen constructions, with special attention to meta-level properties of the implicatives.
\n
Lauri Karttunen This is joint work with Ignacio Cases, building on our NAACL - 2019 presentation.
","frontmatter":{"title":"Training a Neural Model to Reason with Implicatives","lecturer":"Lauri Karttunen","duration":"2 hours","date":"29 May, 2019","venue":"Gothenburg","slides":{"publicURL":"/static/31a8c706c54a297cb3d253c453e10f22/1733451_karttunen.pdf"}},"fields":{"slug":"/events/seminars/2019-05-29/Lauri-Karttunen-Training/"}}},"pageContext":{"slug":"/events/seminars/2019-05-29/Lauri-Karttunen-Training/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2019-09-09/Matthew-Marge-Towards/page-data.json b/page-data/events/seminars/2019-09-09/Matthew-Marge-Towards/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2019-09-09/Matthew-Marge-Towards/","result":{"data":{"markdownRemark":{"html":"
Robots can be more effective teammates with people if they can engage in natural language dialogue. In this talk, I will address one fundamental research problem to achieving this goal: understanding how people will talk to robots in collaborative tasks, and how robots could respond in natural language to maintain an effective dialogue that stays on track. The unique contribution of this research is the adoption of a multi-phased approach to building spoken dialogue systems that starts with exploratory data collection of human-robot dialogue with a human ¿wizard¿ standing in for the robot¿s language processing behind the scenes, and ends with training a dialogue system that automates away the wizard.With the ultimate goal of an autonomous conversational robot in mind, I will focus on the initial experiments that aim to collect computationally tractable human-robot dialogue without sacrificing naturalness. I will show how this approach can efficiently collect dialogue in the navigation domain, and in a form suitable for training a conversational robot. I will also present a novel annotation scheme for dialogue semantics and structure that captures the types of instructions that people gave to the robot, showing that over time these can change as people better assess the robot's capabilities. Finally, I¿ll place this research effort in the broader context of enabling better teaming between people and robots.This is joint work with colleagues at ARL and at the USC Institute for Creative Technologies.
","frontmatter":{"title":"Towards Natural Dialogue with Robots","lecturer":"Matthew Marge","duration":"2 hours","date":"09 Sep, 2019","venue":"Gothenburg","slides":{"publicURL":"/static/eb519a14e8609783be418195e802139b/1759983_marge-matthew-clasp-19.pdf"}},"fields":{"slug":"/events/seminars/2019-09-09/Matthew-Marge-Towards/"}}},"pageContext":{"slug":"/events/seminars/2019-09-09/Matthew-Marge-Towards/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2019-10-16/Jean-Philippe-Bernardy-Logic/page-data.json b/page-data/events/seminars/2019-10-16/Jean-Philippe-Bernardy-Logic/page-data.json
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Joint work withRasmus BlanckAleksandre Maskharashvili
\n
The ability of humans to reason under uncertainty has reflectionswithin natural language where we find various lexico-syntacticconstructions which allow us to express uncertain information.Moreover, we are able draw conclusions - make inferences underuncertainty. To give an adequate account to this crucial aspect of natural language, it has been long argued for employing probabilistic tools in defining semantics of natural language. In this abstract we address this issue by proposing a Logic with Measurable Spaces (LMS). We argue that LMS is suitable to represent the semantics of a number of important natural language phenomena. LMS draws inspiration from several sources. It is aims at being decidable (like descriptive logics). It features Sigma spaces (like Martin-Löf type-theory). It internalises the notion of the cardinality (in fact, here, measures) of spaces and ratiosthereof, allowing to capture the notion of event probability.
","frontmatter":{"title":"A Logic with Measurable Spaces for Natural Language Semantics","lecturer":"Jean-Philippe Bernardy","duration":"2 hours","date":"16 Oct, 2019","venue":"Gothenburg","slides":{"publicURL":"/static/8ea44bfe4d78d74d72cc050206018d8d/1759777_bernardy-jp-clasp-19.pdf"}},"fields":{"slug":"/events/seminars/2019-10-16/Jean-Philippe-Bernardy-Logic/"}}},"pageContext":{"slug":"/events/seminars/2019-10-16/Jean-Philippe-Bernardy-Logic/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2019-10-30/Colin-Zwanziger-Propositional/page-data.json b/page-data/events/seminars/2019-10-30/Colin-Zwanziger-Propositional/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2019-10-30/Colin-Zwanziger-Propositional/","result":{"data":{"markdownRemark":{"html":"
Since it interprets propositions by sets of possible worlds, the intensional logic of Montague (1973) does not distinguish propositions which are true in the same possible worlds. Because of this, the system does not satisfactorily interpret propositional attitude verbs (believe, know, etc.), a fact which has motivated the development of 'hyperintensional' logics.
\n
I will discuss a hyperintensional system which naturally incorporates the intensional logic of Montague with the usual notions of homotopy type theory (HoTT). This system is based on a fragment of Shulman (2018). From HoTT, we inherit two notions of equality, ¿ and =, which we think of as expressing intensional and extensional equalities, respectively. From Montague, we inherit a syntax for intensional operators, which for us will, however, mean operators which respect intensional but not (necessarily) extensional equality. These are used to interpret propositional attitude operators.
\n
This approach is in the tradition of other linguistically-motivated systems with two notions of equality (Thomason 1980, Fox and Lappin 2008). Some advantages are that it allows a treatment of de re belief, and inherits a nice model theory from HoTT.
","frontmatter":{"title":"Propositional Attitude Operators via Homotopy Type Theory","lecturer":"Colin Zwanziger","duration":"2 hours","date":"30 Oct, 2019","venue":"Gothenburg","slides":{"publicURL":"/static/f61836fb0b50976bcae74ff1e2372eef/1759745_zwanziger-colin-clasp-19.pdf"}},"fields":{"slug":"/events/seminars/2019-10-30/Colin-Zwanziger-Propositional/"}}},"pageContext":{"slug":"/events/seminars/2019-10-30/Colin-Zwanziger-Propositional/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2019-12-04/Shalom-Lappin-Modelling/page-data.json b/page-data/events/seminars/2019-12-04/Shalom-Lappin-Modelling/page-data.json
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Joint work with Jey Han Lau, The University of Melbourne; Carlos Armendariz, Queen Mary University of London; Matthew Purver, Queen Mary University of London; and Chang Shu,University of Nottingham Ningbo China
\n
We study the influence of context on sentence acceptability. First we compare the acceptability ratings of sentences judged in isolation, with a relevant context, and with an irrelevant context. Our results show that context induces a cognitive load for humans, which compresses the distribution of ratings. Moreover, in relevant contexts we observe a discourse coherence effect which uniformly raises acceptability. Next, we test unidirectional and bidirectional language models in their ability to predict acceptability ratings. The bidirectional models show very promising results, with the best model achieving a new state-of-the-art for unsupervised acceptability prediction. The two sets of experiments provide insights into the cognitive aspects of sentence processing, and central issues in the computational modelling of text and discourse.
","frontmatter":{"title":"Modelling the Effect of Context on Sentence Acceptability","lecturer":"Shalom Lappin","duration":"2 hours","date":"04 Dec, 2019","venue":"Gothenburg","slides":{"publicURL":"/static/6391a6ddef81d8858f06d17a0c608d6f/1759776_lappin-shalom-clasp-19.pdf"}},"fields":{"slug":"/events/seminars/2019-12-04/Shalom-Lappin-Modelling/"}}},"pageContext":{"slug":"/events/seminars/2019-12-04/Shalom-Lappin-Modelling/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-01-29/Shiri-Lev-Ari-Language/page-data.json b/page-data/events/seminars/2020-01-29/Shiri-Lev-Ari-Language/page-data.json
new file mode 100644
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+++ b/page-data/events/seminars/2020-01-29/Shiri-Lev-Ari-Language/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-01-29/Shiri-Lev-Ari-Language/","result":{"data":{"markdownRemark":{"html":"
Languages exhibit great variability in their structures. In this talk I will show that some of the cross-linguistic differences could be accounted for by languages¿ adaptation to their social environment. I will demonstrate how properties of the community structure, such as its size and interconnectivity, influence how information travels, and consequently the structure of the grammar and vocabulary that the community develops. I will further show how network structure dynamics interact with cognitive biases in a manner that affects linguistic stability and the likely agents of change.
","frontmatter":{"title":"Language evolution and change from a social networks perspective","lecturer":"Shiri Lev-Ari","duration":"2 hours","date":"29 Jan, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/2986caf8dd6746df8f1095a12b74b9e5/1765699_shiri-lev-ari---language-evolution-and-change-from-a-social-networks-perspective-clasp.pdf"}},"fields":{"slug":"/events/seminars/2020-01-29/Shiri-Lev-Ari-Language/"}}},"pageContext":{"slug":"/events/seminars/2020-01-29/Shiri-Lev-Ari-Language/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-02-10/Lasha-Abzianidze-Parallel/page-data.json b/page-data/events/seminars/2020-02-10/Lasha-Abzianidze-Parallel/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-02-10/Lasha-Abzianidze-Parallel/","result":{"data":{"markdownRemark":{"html":"
(joint work with Johan Bos, Kilian Evang, Hessel Haagsma, and Rik van Noord)The Parallel Meaning Bank (PMB) is a large collection of bitexts annotated with Discourse Representation Structures. Two main principles underlying the PMB are (i) a meaning-preserving property of translations and (ii) compositionality of meaning. The meaning-preserving principle drives formal meaning representations of translations to the same representation. At the same time, the compositionality principle reduces modelling of phrase semantics to modelling of lexical semantics. While the modelling of lexical semantics is still a challenge, the shift to the lexical level enables us to project formal meaning representations from a pivot language to other languages. This is a very attractive idea, but it faces enormous challenges. How did we deal with them? In the presentation, I will describe the annotation layers of the PMB, a pipeline of NLP tools, and its online annotation environment.
","frontmatter":{"title":"The Parallel Meaning Bank: a corpus of translations annotated with formal meaning representations","lecturer":"Lasha Abzianidze","duration":"2 hours","date":"10 Feb, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/2ea7cd1846e43062c88abd1973c5d6ad/1766301_lasha-abzianidze---pmb_at_claps---10.02.pdf"}},"fields":{"slug":"/events/seminars/2020-02-10/Lasha-Abzianidze-Parallel/"}}},"pageContext":{"slug":"/events/seminars/2020-02-10/Lasha-Abzianidze-Parallel/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-02-12/Lasha-Abzianidze-Natural/page-data.json b/page-data/events/seminars/2020-02-12/Lasha-Abzianidze-Natural/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-02-12/Lasha-Abzianidze-Natural/","result":{"data":{"markdownRemark":{"html":"
If we assume Montague's belief that there is ¿no important theoretical difference between natural languages and the artificial languages of logicians¿, then there should exist a proof system for natural languages too, like it is for various logics. But is such a natural proof system sensible? In my talk, I will present a version of a natural proof system that is specially designed to account for natural language inference (NLI) in a systematic way. The proof system, called the Natural Tableau, is based on a semantic tableau method and operates on terms of higher-order logic, which represent a more natural way of modelling linguistic semantics. A Natural Tableau-based theorem prover is able to model both shallow and logical reasoning, demonstrated on standard NLI benchmarks. The prover can also tackle the problem of knowledge sparsity with supervised knowledge induction.
","frontmatter":{"title":"Natural theorem proving for natural language: theory and application","lecturer":"Lasha Abzianidze","duration":"2 hours","date":"12 Feb, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/bacdab13cc1486e39e99bf7855202214/1766300_lasha-abzianidze---natural_tableau_at_claps---12.02.pdf"}},"fields":{"slug":"/events/seminars/2020-02-12/Lasha-Abzianidze-Natural/"}}},"pageContext":{"slug":"/events/seminars/2020-02-12/Lasha-Abzianidze-Natural/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-02-20/Desmond-Elliott-Compositional/page-data.json b/page-data/events/seminars/2020-02-20/Desmond-Elliott-Compositional/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-02-20/Desmond-Elliott-Compositional/","result":{"data":{"markdownRemark":{"html":"
Image captioning models are usually evaluated on their ability to describe a held-out set of images, not on their ability to generalize to unseen concepts. We study the problem of compositional generalization, which measures how well a model composes unseen combinations of concepts when describing images. State-of-the-art image captioning models show poor generalization performance on this task. We propose a multi-task model to address the poor performance, that combines caption generation and image--sentence ranking, and uses a decoding mechanism that re-ranks the captions according their similarity to the image. This model is substantially better at generalizing to unseen combinations of concepts compared to state-of-the-art captioning models.
","frontmatter":{"title":"Compositional Generalization in Image Captioning","lecturer":"Desmond Elliott","duration":"2 hours","date":"20 Feb, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/0b5265cf5566a3d774bedd01b62baa47/1765667_desmond-elliott---compositional-generalisation-in-image-captioning.pdf"}},"fields":{"slug":"/events/seminars/2020-02-20/Desmond-Elliott-Compositional/"}}},"pageContext":{"slug":"/events/seminars/2020-02-20/Desmond-Elliott-Compositional/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-02-21/Mehdi-Ghanimifard---Final-seminar-Why/page-data.json b/page-data/events/seminars/2020-02-21/Mehdi-Ghanimifard---Final-seminar-Why/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-02-21/Mehdi-Ghanimifard---Final-seminar-Why/","result":{"data":{"markdownRemark":{"html":"
In this thesis, to build a multi-modal system for language generation and understanding, we study grounded neural language models. Literature in psychology informs us that spatial cognition involves different aspects of knowledge that include visual perception and human interaction with the world. This makes spatial descriptions a compelling case for the study of how spatial language is grounded in different kinds of knowledge. In six studies, we investigate what and how neural language models (NLM) encode spatial knowledge.
\n
In the first study, we ask if the language model has a systematic generalisation to learn the grounding on the unseen composition of representations. Then in the second study, we show the potentials in using uni-modal knowledge for detecting metaphors in adjective-nouns compositions. In the third study, we explore the traces of functional-geometric distinction of spatial relations in uni-modal NLM. This distinction is essential since the knowledge about object-specific relations are not grounded in the visible situation. Following that, in the fourth study, we inspect representations of spatial relations in a uni-modal NLM to understand how they capture the concept of space from the corpus. The predictability of grounding spatial relations from contextual embeddings is vital for the evaluation of grounding in multi-modal language models. In the fifth study, we try to evaluate the degree of grounding in language and vision with adaptive attentions. In the sixth study, we use adaptive attention to understand if and how additional bounding box geometric information could improve the generation of relational image descriptions.
\n
The primary argument of the thesis is that spatial expressions in natural language are not always grounded in direct interpretations of the locations. In a joint model of vision and language, the neural language model provides spatial knowledge that is contextualising the knowledge from visual repre-sentations about locations. The knowledge in the language model comes from locative expressions in the dataset used for the training task and is also shaped by the aspects of the model design.
","frontmatter":{"title":"Why the pond is not outside the frog? Grounding in contextual representations by neural language models","lecturer":"Mehdi Ghanimifard - Final seminar","duration":"2 hours","date":"21 Feb, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/a567ed0a819234416af1ee66f3dd6bec/1766665_ghanimifard2020-finalseminar.pdf"}},"fields":{"slug":"/events/seminars/2020-02-21/Mehdi-Ghanimifard---Final-seminar-Why/"}}},"pageContext":{"slug":"/events/seminars/2020-02-21/Mehdi-Ghanimifard---Final-seminar-Why/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-02-26/Vladislav-Maraev-and-Bill-Noble-effect/page-data.json b/page-data/events/seminars/2020-02-26/Vladislav-Maraev-and-Bill-Noble-effect/page-data.json
new file mode 100644
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--- /dev/null
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-02-26/Vladislav-Maraev-and-Bill-Noble-effect/","result":{"data":{"markdownRemark":{"html":"
We investigate how useful BERT is for dialogue act recognition. We analyse benefit of BERT's pre-training procedure and the importance of fine-tuning in the dialogue setting. To confirm that the model learns to represent dialogical features, we look at how it uses laughter, a phenomenon specific to dialogue, and analyse where laughter is most helpful for dialogue act recognition.
","frontmatter":{"title":"The effect of laughter on dialogue act recognition","lecturer":"Vladislav Maraev and Bill Noble","duration":"2 hours","date":"26 Feb, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/5cc80267daee201c25409062617d095c/1767762_clasp-seminar-tickleme---vladislav-maraev-and-bill-noble-26.2.pdf"}},"fields":{"slug":"/events/seminars/2020-02-26/Vladislav-Maraev-and-Bill-Noble-effect/"}}},"pageContext":{"slug":"/events/seminars/2020-02-26/Vladislav-Maraev-and-Bill-Noble-effect/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-03-04/Elin-McCready-Dogwhistles:/page-data.json b/page-data/events/seminars/2020-03-04/Elin-McCready-Dogwhistles:/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-03-04/Elin-McCready-Dogwhistles:/","result":{"data":{"markdownRemark":{"html":"
In political speech, it is often strategically important to signal one's ideology to a subset of listeners, especially when that ideology may be controversial. The term \"dogwhistle\" refers to a kind of coded message sent which sends one message to all listeners and an additional message to a class of `savvy' interpreters; this kind of messaging is prevalent in political discourse. This talk describes an approach to dogwhistles which takes them to send coded messages in a way dependent on recognition of the speaker's political ideology. After laying out some criteria for an account of dogwhistles, a game-theoretic account is proposed and then extended to a general notion of communicative trust.
","frontmatter":{"title":"Dogwhistles: Ideology and Trust","lecturer":"Elin McCready","duration":"2 hours","date":"04 Mar, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/ca4568ecfb6509d8e0cf04ff366cf30d/1766468_elin-mccready---dogwhistles.-ideology-and-trust.pdf"}},"fields":{"slug":"/events/seminars/2020-03-04/Elin-McCready-Dogwhistles:/"}}},"pageContext":{"slug":"/events/seminars/2020-03-04/Elin-McCready-Dogwhistles:/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-03-11/Adam-Ek-Enhanced/page-data.json b/page-data/events/seminars/2020-03-11/Adam-Ek-Enhanced/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-03-11/Adam-Ek-Enhanced/","result":{"data":{"markdownRemark":{"html":"
In this talk I introduce the framework “Enhanced Universal Dependencies”, an add-on to standard universal dependency annotations focusing on highlighting semantic relationships between words in a sentence. In the talk on-going work is presented, aimed at parsing enhanced universal dependencies in 16 languages using an encoder-decoder framework with attention.
","frontmatter":{"title":"Enhanced dependency parsing","lecturer":"Adam Ek","duration":"2 hours","date":"11 Mar, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/159af53e8c428791e8dd655942f336a5/1767083_adam-ek---enhanced-universal-dependencies-11.3.pdf"}},"fields":{"slug":"/events/seminars/2020-03-11/Adam-Ek-Enhanced/"}}},"pageContext":{"slug":"/events/seminars/2020-03-11/Adam-Ek-Enhanced/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-04-01/Chatrine-Qwaider-Deep/page-data.json b/page-data/events/seminars/2020-04-01/Chatrine-Qwaider-Deep/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-04-01/Chatrine-Qwaider-Deep/","result":{"data":{"markdownRemark":{"html":"
The Seminar is part of Reading course on applying deep learning for Arabic Computational Linguistics. I present an overview of relevant literature on employing deep learning architectures for different Arabic NLP tasks like Language Identification , Sentiment Analysis, Entity Recognition and so on. However, Dialectal Arabic faces a number of challenges when it comes to NLP, resulting in weak performance systems and models. One of the reasons for this is that we try to first build models for Modern Standard Arabic and later use the models to predict the Dialectal Arabic, something which does not work well. In this talk, I pick Sentiment Analysis as a case study in order to show the power of deep learning for Dialectal Arabic. A mixed LSTM and CNN network is presented for SA, giving reasonable results. We also experiment with fine tuning the pertained language model BERT in order to build a classification model for Dialectal SA on it. Lastly, we compare both the traditional DL and BERT results.
","frontmatter":{"title":"Deep Learning for Arabic Computational Linguistics (Sentiment Analysis as case study)","lecturer":"Chatrine Qwaider","duration":"2 hours","date":"01 Apr, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/074b843eb081f9999d8d3721596f452c/1769406_chatrine-qwaider-1.4---deep-learning-for-arabic-computational-linguistics.pdf"}},"fields":{"slug":"/events/seminars/2020-04-01/Chatrine-Qwaider-Deep/"}}},"pageContext":{"slug":"/events/seminars/2020-04-01/Chatrine-Qwaider-Deep/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-04-15/Asad-Sayeed-and-Yuval-Marton-Data/page-data.json b/page-data/events/seminars/2020-04-15/Asad-Sayeed-and-Yuval-Marton-Data/page-data.json
new file mode 100644
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-04-15/Asad-Sayeed-and-Yuval-Marton-Data/","result":{"data":{"markdownRemark":{"html":"
Asad Sayeed and Yuval Marton's presentation slidesThematic fit is the extent to which a given noun fits a given semantic role that is associated with a given verb. For example, \"knife\" fits better as an instrument for the verb \"cut\" than does \"towel\". Previous work (Hong, Sayeed, and Demberg, 2018; Sayeed, Shkadzko, and Demberg,2018) modeled human thematic fit judgements through a neural network approach that involved a very large automatically-annotated corpus. Received wisdom in the machine learning era is that more data with poorer-quality annotation is cheaper and more effective than a smaller amount of higher-quality annotation (Petrov et al., 2010).
\n
Calling into question the wide applicability of this received wisdom, we replace some automatic annotation layers in the Sayeed et al. dataset with annotations derived from a better SRL tool, parser, and morphological analyzer. We obtained higher correlations with human-collected thematic fit judgements by training our models on dramatically less data with higher annotation quality. We therefore call for more nuanced judgment in automatic annotation design decisions in the NLP community.
\n
Joint work between Yuval Marton (University of Washington; Bloomberg LP) and Asad Sayeed (University of Gothenburg).
","frontmatter":{"title":"Data requirements for thematic fit modeling","lecturer":"Asad Sayeed and Yuval Marton","duration":"2 hours","date":"15 Apr, 2020","venue":"Gothenburg","slides":null},"fields":{"slug":"/events/seminars/2020-04-15/Asad-Sayeed-and-Yuval-Marton-Data/"}}},"pageContext":{"slug":"/events/seminars/2020-04-15/Asad-Sayeed-and-Yuval-Marton-Data/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-04-22/Herbert-Lange-Learning/page-data.json b/page-data/events/seminars/2020-04-22/Herbert-Lange-Learning/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-04-22/Herbert-Lange-Learning/","result":{"data":{"markdownRemark":{"html":"
For domain-specific applications computational grammars can be a useful resources. One challenge is that the domain experts and the grammar engineers usually are two separate parties. To bridge between the two, we present a method to learn a domain-specific grammar from a wide-coverage grammar using natural language example sentences.
\n
We model the learning process as a constraint optimization problem and show that we can learn subgrammars from positive examples. Furthermore we show how negative examples can be included to allow for an iterative learning process and how the quality of the grammar can be improved by merging grammar rules.
","frontmatter":{"title":"Learning Domain-Specific Grammars from Example Sentences","lecturer":"Herbert Lange","duration":"2 hours","date":"22 Apr, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/253319c299bca633be77b9247e52a63c/1770107_clasp_lange_20200422.pdf"}},"fields":{"slug":"/events/seminars/2020-04-22/Herbert-Lange-Learning/"}}},"pageContext":{"slug":"/events/seminars/2020-04-22/Herbert-Lange-Learning/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-04-29/Gemma-Boleda-Distributional/page-data.json b/page-data/events/seminars/2020-04-29/Gemma-Boleda-Distributional/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-04-29/Gemma-Boleda-Distributional/","result":{"data":{"markdownRemark":{"html":"
Distributional semantics provides multi-dimensional, graded, empirically induced word representations that successfully capture many aspects of meaning in natural languages, as shown in a large body of work in computational linguistics; yet, its impact in theoretical linguistics has so far been limited. In this talk, I will present methods and results in distributional semantics that are of relevance for theoretical linguistics, in three areas: semantic change, polysemy and composition, and the grammar-semantics interface (specifically, the interface of semantics with syntax, on the one hand, and with derivational morphology, on the other). Talk based on the following paper: Boleda, G. 2020. Distributional Semantics and Linguistic Theory. Annual Review of Linguistics, Vol. 6: 213-23. [Pre-print version]
","frontmatter":{"title":"Distributional Semantics and Linguistic Theory","lecturer":"Gemma Boleda","duration":"2 hours","date":"29 Apr, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/e4d6d92dec1261e3baee0e784a4d98d7/1770573_gemma-boleda-slides-april-2020.pdf"}},"fields":{"slug":"/events/seminars/2020-04-29/Gemma-Boleda-Distributional/"}}},"pageContext":{"slug":"/events/seminars/2020-04-29/Gemma-Boleda-Distributional/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-05-13/Wlodek-Zadrozny-Towards/page-data.json b/page-data/events/seminars/2020-05-13/Wlodek-Zadrozny-Towards/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-05-13/Wlodek-Zadrozny-Towards/","result":{"data":{"markdownRemark":{"html":"
Wlodek Zadrozny (UNC Charlotte and Duke U.)
\n
In this talk we are proposing adding coinduction to the computational apparatus of semantics. This, we argue, will provide a basis for a more realistic, computationally sound, and scalable model of natural language understanding. Given that the bottom up, inductively constructed, semantic structures are brittle, and seemingly incapable of representing longer sentences or realistic dialogues, semantics is in the need of a new foundation. Coinduction, which uses top down constraints, has been successfully used in the design of operating systems and programming languages. Moreover, implicitly it has been present in text mining, machine translation, and in some attempts to model intensionality and modalities. So, there is scattered evidence it works. Since coinduction and induction can coexist, they can provide a common language and a conceptual model for research in NL understanding. We will end listing a few problems amenable to the use of coinduction, and proposing other, more challenging measures of success.
","frontmatter":{"title":"Towards Co-Inductive Models for Natural Language Semantics","lecturer":"Wlodek Zadrozny","duration":"2 hours","date":"13 May, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/ea5519c93b982074e74268f4ccc1b68d/1772947_clasp-coinduction-for-nlp--w-zadrozny-may-13-2020.pdf"}},"fields":{"slug":"/events/seminars/2020-05-13/Wlodek-Zadrozny-Towards/"}}},"pageContext":{"slug":"/events/seminars/2020-05-13/Wlodek-Zadrozny-Towards/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-05-28/Milena-Rabovsky-Modeling/page-data.json b/page-data/events/seminars/2020-05-28/Milena-Rabovsky-Modeling/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-05-28/Milena-Rabovsky-Modeling/","result":{"data":{"markdownRemark":{"html":"
The N400 component of the event-related brain potential has aroused much interest because it is thought to provide an online measure of meaning processing in the brain. However, the underlying process remains incompletely understood and actively debated. In the talk, I will present a computationally explicit account of this process and the emerging representation of sentence meaning. We simulate N400 amplitudes as the change induced by an incoming stimulus in an implicit and probabilistic representation of meaning captured by the hidden unit activation pattern in a neural network model of sentence comprehension, and we propose that the process underlying the N400 also drives implicit learning in the network. The model provides a unified account of 16 distinct findings from the N400 literature.
","frontmatter":{"title":"Modeling the N400 brain potential as change in a probabilistic representation of meaning","lecturer":"Milena Rabovsky","duration":"2 hours","date":"28 May, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/99f6c89fba43bf71cedf1d4377869bad/1772978_talk_gothenburg_milena_rabovsky.pdf"}},"fields":{"slug":"/events/seminars/2020-05-28/Milena-Rabovsky-Modeling/"}}},"pageContext":{"slug":"/events/seminars/2020-05-28/Milena-Rabovsky-Modeling/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-10-07/Vidya-Somashekarappa/page-data.json b/page-data/events/seminars/2020-10-07/Vidya-Somashekarappa/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-10-07/Vidya-Somashekarappa/","result":{"data":{"markdownRemark":{"html":"
In this talk, I will discuss the topic of gaze prediction and my annotation effort to produce a data source that can help with automated dialogue systems. Specifically, dialogue systems need a way to distinguish between social and referential gaze in order to react more naturally to the cues given by human users. I will present an annotation scheme as well as an analysis of collected data for dyadic conversations that reveal gaze behaviour patterns that are significant to the question of the role of gaze in interaction.
\n
Temporal patterns of non-verbal behaviour cue detection and interpretation in a given scenario are natural for humans and mostly an unconscious process, but identifying them is difficult for a robot or avatar. Research has shown that from birth on, humans prefer to look at faces that engage in reciprocated gaze, and that healthy babies show enhanced neural processing of direct eye gaze. Eye movements have been shown in many domains to have significant effects on decision-making. Machines that can sense and respond to these in a meaningful way are welcomed by the users because of the efficient interaction and bonding experience. Unsurprisingly, eye contact is closely linked to our emotions and consequently affects our behaviors.
\n
The ultimate goal of this research project is to understand higher level behaviours, such as attention and eye gaze during conversation and how these findings are synthesized and can be utilized in the domains of Human–Robot Interaction and Human–Computer Interaction.
","frontmatter":{"title":"What's your occipital lobe looking at? Gaze patterns and non-verbal cue detection","lecturer":"Vidya Somashekarappa","duration":"2 hours","date":"07 Oct, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/02cd4fd3c7d2fe018c6891696dab336b/Vidya Somashekarappa 7.10.pdf"}},"fields":{"slug":"/events/seminars/2020-10-07/Vidya-Somashekarappa/"}}},"pageContext":{"slug":"/events/seminars/2020-10-07/Vidya-Somashekarappa/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-10-28/Julian-Grove/page-data.json b/page-data/events/seminars/2020-10-28/Julian-Grove/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-10-28/Julian-Grove/","result":{"data":{"markdownRemark":{"html":"
Within the last two decades, research into the multifaceted nature of linguistic meaning from the perspective of dynamic semantics has gained insight from the theoretical-computer-science notion of computational side effect. The side effects of a computer program may include, for example, reading or writing to the environment, computing non-deterministically, accepting input, or producing output. Theories of side effects have provided useful design patterns in linguistic semantics that allow traditional tools, like the simply typed lambda-calculus, to deal with otherwise unruly dynamic phenomena like indefiniteness, binding, anaphora, and presupposition, as well as apparently non-compositional phenomena, like quantification, in a systematic, elegant, and compositional way.
\n
More recently, the theory of algebraic effects has provided an approach to side effects in programming languages that allows very different notions of effect (for example, input/output and non-determinism) to be combined in a relatively seamless way. In this talk, I will show how algebraic effects may be used to combine analyses of linguistic side effects, focusing on anaphora and quantification. The approach lends itself to a simple encoding using traditional tools, as well as fairly conservative analyses of the individual phenomena at play. In addition, it leads to some interesting empirical predictions about how quantification and anaphora interact.
","frontmatter":{"title":"Algebraic effects in Montague semantics","lecturer":"Julian Grove","duration":"2 hours","date":"28 Oct, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/7f5e0f84bf767fb6b4b5c3a9664519c0/Julian Grove 28.10.pdf"}},"fields":{"slug":"/events/seminars/2020-10-28/Julian-Grove/"}}},"pageContext":{"slug":"/events/seminars/2020-10-28/Julian-Grove/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-11-04/Emil-Carlsson-and-Devdatt Dubhashi/page-data.json b/page-data/events/seminars/2020-11-04/Emil-Carlsson-and-Devdatt Dubhashi/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-11-04/Emil-Carlsson-and-Devdatt Dubhashi/","result":{"data":{"markdownRemark":{"html":"
Human languages differ qualitatively in their numeral systems. At one extreme, some languages have a small set of number terms, which denote approximate or inexact numerosities; at the other extreme, many languages have forms for exact numerosities over a very large range, through a recursively defined counting system. Why do numeral systems vary as they do? An influential proposal has suggested that this arises from a functional need for efficient communication and framed it in an information-theoretic setting. Here we adopt a machine learning perspective and show that a simple reinforcement learning mechanism produces numeral systems with properties very similar to human systems of similar complexity.
","frontmatter":{"title":"Learning numeral systems by interaction","lecturer":"Emil Carlsson and Devdatt Dubhashi ","duration":"2 hours","date":"04 Nov, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/a6ad2af99169bbcb82ccba96a72f184b/Emil Carlsson and Devdatt Dubhashi 4.11.pdf"}},"fields":{"slug":"/events/seminars/2020-11-04/Emil-Carlsson-and-Devdatt Dubhashi/"}}},"pageContext":{"slug":"/events/seminars/2020-11-04/Emil-Carlsson-and-Devdatt Dubhashi/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-11-11/Adam-Ek/page-data.json b/page-data/events/seminars/2020-11-11/Adam-Ek/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-11-11/Adam-Ek/","result":{"data":{"markdownRemark":{"html":"
In this talk I'll present research regarding composing sub-word representations, specifically representations obtained for byte-pair tokens by a large language model, into word representations. In our paper, we evaluate four different methods of obtaining word representations for morphological sequence classification, that is, the task of assigning grammatical features to words. Our experiments reveal that using an RNN to compute word representations is consistently more effective than the other three methods across a sample of eight languages with different typology and varying number of byte-pair tokens per word.
","frontmatter":{"title":"Composing Byte-Pair Encodings for Morphological Sequence Classification","lecturer":"Adam Ek","duration":"2 hours","date":"11 Nov, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/de44a7f6d0e0dd73ca35689252b7df39/Adam Ek 11.11.pdf"}},"fields":{"slug":"/events/seminars/2020-11-11/Adam-Ek/"}}},"pageContext":{"slug":"/events/seminars/2020-11-11/Adam-Ek/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-11-18/Ellie-Pavlick/page-data.json b/page-data/events/seminars/2020-11-18/Ellie-Pavlick/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-11-18/Ellie-Pavlick/","result":{"data":{"markdownRemark":{"html":"
A wave of recent work has sought to understand how pretrained language models work. Such analyses have resulted in two seemingly contradictory sets of results. On one hand, work based on \"probing classifiers\" generally suggests that SOTA language models contain rich information about linguistic structure (e.g., parts of speech, syntax, semantic roles). On the other hand, work which measures performance on linguistic \"challenge sets\" shows that models consistently fail to use this information when making predictions. In this talk, I will present a series of results that attempt to bridge this gap. Our recent experiments suggest that the disconnect is not due to catastrophic forgetting nor is it (entirely) explained by insufficient training data. Rather, it is best explained in terms of how \"accessible\" features are to the model following pretraining, where \"accessibility\" can be quantified using an information-theoretic interpretation of probing classifiers.
","frontmatter":{"title":"You can lead a horse to water...: Representing vs. Using Features in Neural NLP","lecturer":"Ellie Pavlick","duration":"2 hours","date":"18 Nov, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/9948f0b4bfc479548d1168d4c09b41e5/Ellie Pavlick 18.11.pdf"}},"fields":{"slug":"/events/seminars/2020-11-18/Ellie-Pavlick/"}}},"pageContext":{"slug":"/events/seminars/2020-11-18/Ellie-Pavlick/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-12-02/Eleni-Gregoromichelaki/page-data.json b/page-data/events/seminars/2020-12-02/Eleni-Gregoromichelaki/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-12-02/Eleni-Gregoromichelaki/","result":{"data":{"markdownRemark":{"html":"
The ability to predict action sequences on the basis of perception and past experience is essential for autonomous agents exhibiting intelligent behaviour in unstructured environments. I present a view of syntactic processing as sensorimotor skills developed to grasp reliable actionperception regularities. Under this view, natural language elements like words and syntactic structures can be subsumed in models of affordances, properties of social settings [Heft, 1989] relative to (groups of) human agents who can explore or exploit them to gain access to these settings. I will present the formal architecture of a syntactic model (DS, Kempson et al. [2001]) that provides a way of capturing (joint) linguistic and physical actions by relying on the goaldirected, predictive nature of cognition.
\n
Since linguistic phenomena also show that there is continuity between low-level “syntactic” and conceptual mechanisms, I will address various ways to unify DS with TTR (Cooper [2012], in prep) under a single formalism. In my view, TTR types, like syntactic DS types, can also be modelled as affordances, namely, real features of the sociocultural environment that are, nevertheless, defined relative to agents’ abilities and preferences. Standard TTR types are then abstract, higher level goal macrostates, referring to a (potentially) infinite set of low-level state graphs probabilistically accessible to agents in a particular context. From this point of view, judgements are not assignments of type labels to entities but, instead, the pursuance of affordances, action policies, in interactions.
","frontmatter":{"title":"Affordances for syntax and semantics","lecturer":"Eleni Gregoromichelaki","duration":"2 hours","date":"02 Dec, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/1b1d67efa0506b9017a49e96da5af4c7/Eleni Gregoromichelaki 2.12.pdf"}},"fields":{"slug":"/events/seminars/2020-12-02/Eleni-Gregoromichelaki/"}}},"pageContext":{"slug":"/events/seminars/2020-12-02/Eleni-Gregoromichelaki/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2020-12-09/Daisuke-Bekki/page-data.json b/page-data/events/seminars/2020-12-09/Daisuke-Bekki/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2020-12-09/Daisuke-Bekki/","result":{"data":{"markdownRemark":{"html":"
In this talk, I will introduce and discuss our recent development of the natural language understanding (NLU) system under a \"hybrid approach\" between formal linguistics and machine learning, one of the alternative approaches to fully-neural NLU. I will mainly focus on the end-to-end RTE system \"ccg2lambda\", which we developed in 2015, that integrates CCG parsers, formal semantics, higher-order theorem provers, and machine learning. I will also discuss some extensions of ccg2lambda to the tasks such as visual-textual entailment and semantic textual similarity.
","frontmatter":{"title":"A hybrid approach toward Natural Language Understanding","lecturer":"Daisuke Bekki","duration":"2 hours","date":"09 Dec, 2020","venue":"Gothenburg","slides":{"publicURL":"/static/a7204beb0b21542ef2f348e0e5465b44/Daisuke Bekki 9.12.pdf"}},"fields":{"slug":"/events/seminars/2020-12-09/Daisuke-Bekki/"}}},"pageContext":{"slug":"/events/seminars/2020-12-09/Daisuke-Bekki/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-01-20/Olof-Mogren/page-data.json b/page-data/events/seminars/2021-01-20/Olof-Mogren/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-01-20/Olof-Mogren/","result":{"data":{"markdownRemark":{"html":"
Learned continuous embeddings for language units was some of the first trembling steps of making neural networks useful for natural language processing (NLP), and promised a future with semantically rich representations for downstream solutions. NLP has now seen some of the progress that previously happened in image processing: the availability of increased computing power and the development of algorithms have allowed people to train larger models that perform better than ever. Such models also make it possible to use transfer learning for language tasks, thus leveraging large widely available datasets.
\n
In 2016, Bolukbasi, et.al., presented their paper \"Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings\", shedding lights on some of the gender bias that was available in trained word embeddings at the time. Datasets obviously encode the social bias that surrounds us, and models trained on that data may expose the bias in their decisions. Similarly, learned representations may encode sensitive details about individuals in the datasets; allowing the disclosure of such information through distributed models or their outputs. All of these aspects are crucial in many application areas, not the least in the processing of medical texts.
\n
Some solutions have been proposed to limit the expression of social bias in NLP systems. These include techniques such as data augmentation, representation calibration, and adversarial learning. Similar approaches may also be relevant for privacy and disentangled representations. In this talk, we'll discuss some of these issues, and go through some of the solutions that have been proposed recently to limit bias and to enhance privacy in various settings.
","frontmatter":{"title":"Learned representations and what they encode","lecturer":"Olof Mogren","duration":"2 hours","date":"20 Jan, 2021","venue":"Gothenburg","slides":{"publicURL":"/static/282da6763eb7a418da43fe2ec7ec2a9a/mogren-clasp-seminar-2021-01(1).pdf"}},"fields":{"slug":"/events/seminars/2021-01-20/Olof-Mogren/"}}},"pageContext":{"slug":"/events/seminars/2021-01-20/Olof-Mogren/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-01-27/Bill-Noble/page-data.json b/page-data/events/seminars/2021-01-27/Bill-Noble/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-01-27/Bill-Noble/","result":{"data":{"markdownRemark":{"html":"
Word representations based on the distributional hypothesis are useful in a wide range of natural language prediction tasks. They have also been used extensively to study long-term lexical semantic change. In this talk, I will discuss the use of distributional semantics to study more short-term semantic change, as well as variation between speech\ncommunities. I will present results from two recent studies and compare the merits of using word vectors from a diachronic Skip-Gram model versus conditional neural language models.
","frontmatter":{"title":"Distributional semantics for lexical variation and change","lecturer":"Bill Noble","duration":"2 hours","date":"27 Jan, 2021","venue":"Gothenburg","slides":{"publicURL":"/static/5d64f9eeefe243e13b866fadc748ef4d/dist-variation-and-change-slides.pdf"}},"fields":{"slug":"/events/seminars/2021-01-27/Bill-Noble/"}}},"pageContext":{"slug":"/events/seminars/2021-01-27/Bill-Noble/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-02-03/Axel-Almquist/page-data.json b/page-data/events/seminars/2021-02-03/Axel-Almquist/page-data.json
new file mode 100644
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-02-03/Axel-Almquist/","result":{"data":{"markdownRemark":{"html":"
Argument Mining is a complex task, and to solve it, one has to create solutions that deal with several different subtasks. Existing research is comprised of a few end-to-end attempts as well as combinations of solutions to one or more of the subtasks. To determine which is the best end-to-end solution, one must combine models solving individual or combinations of subtasks with one another. As I set out, I found myself with code in different languages and different code bases. I saw an opportunity to unify the existing research into a single Python framework not only to create a better setting for experiments but also to make research in Argument Mining easier and more accessible.
\n
This tool includes preprocessing, feature extraction, deep learning training setup, SOTA models, visualisations, experiment and model logging, and other features.
\n
In this seminar, I will introduce you to Argument Mining, its challenges and my framework for Argument Mining; HotAm.
","frontmatter":{"title":"HotAM: an Argument Mining Framework","lecturer":"Axel Almquist","duration":"2 hours","date":"03 Feb, 2021","venue":"Gothenburg","slides":{"publicURL":"/static/bc297d41827c21131560eea3f130c803/HotAM-presentation-slides.pdf"}},"fields":{"slug":"/events/seminars/2021-02-03/Axel-Almquist/"}}},"pageContext":{"slug":"/events/seminars/2021-02-03/Axel-Almquist/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-02-10/Marianna-Apidianaki/page-data.json b/page-data/events/seminars/2021-02-10/Marianna-Apidianaki/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-02-10/Marianna-Apidianaki/","result":{"data":{"markdownRemark":{"html":"
Given the high performance of pre-trained language models on natural language understanding tasks, an important strand of work has focused on the linguistic knowledge encoded inside the models, mainly addressing structure-related aspects. In our work, we explore the knowledge BERT encodes about lexical semantics. We specifically probe BERT representations for lexical polysemy detection, scalar adjective ranking and noun property prediction. We perform intrinsic evaluations against hand-crafted data, and test the extracted representations on the tasks of indirect question-answering and in-context lexical entailment. We show that the model encodes rich information about polysemy and adjective intensity, acquired through pre-training, but has only marginal knowledge of noun properties and their prevalence.
\n
The presented work has been performed in collaboration with my PhD student, Aina Garí Soler (University Paris-Saclay), in the frame of the MULTISEM ANR project.
","frontmatter":{"title":"What does BERT know about words? Unveiling hidden lexical semantic properties","lecturer":"Marianna Apidianaki","duration":"2 hours","date":"10 Feb, 2021","venue":"Gothenburg","slides":null},"fields":{"slug":"/events/seminars/2021-02-10/Marianna-Apidianaki/"}}},"pageContext":{"slug":"/events/seminars/2021-02-10/Marianna-Apidianaki/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-02-24/Vlad-Maraev/page-data.json b/page-data/events/seminars/2021-02-24/Vlad-Maraev/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-02-24/Vlad-Maraev/","result":{"data":{"markdownRemark":{"html":"
In this paper, we study the formalisation of a dialogue management system using proof-search on top of a linear logic. We argue that linear logic is the natural formalism to implement information-state dialogue management. We give particular attention to modelling question-answering sequences, including clarification requests, and argue that metavariables, arising from unification in the proof search, play a decisive role in providing a natural formalisation.
\n
We show that our framework is not only well suited from a theoretical perspective, but it is also suitable for implementation which we exemplify with a small scale implementation.
\n
(joint work with Jean-Philippe Bernardy and Jonathan Ginzburg)
","frontmatter":{"title":"Dialogue management with linear logic: the role of metavariables in questions and clarifications","lecturer":"Vlad Maraev","duration":"2 hours","date":"24 Feb, 2021","venue":"Gothenburg","slides":{"publicURL":"/static/3767b185ae03e494dd7d2efc72f0bded/slides-tal.pdf"}},"fields":{"slug":"/events/seminars/2021-02-24/Vlad-Maraev/"}}},"pageContext":{"slug":"/events/seminars/2021-02-24/Vlad-Maraev/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-03-10/Nikolai-Ilinykh/page-data.json b/page-data/events/seminars/2021-03-10/Nikolai-Ilinykh/page-data.json
new file mode 100644
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--- /dev/null
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-03-10/Nikolai-Ilinykh/","result":{"data":{"markdownRemark":{"html":"
Generating multi-sentence image descriptions is a challenging task, which requires a good model to produce coherent and accurate paragraphs, describing salient objects in the image. We argue that multiple sources of information are beneficial when describing visual scenes with long sequences. These include (i) perceptual information and (ii) semantic (language) information about how to describe what is in the image. We also compare the effects of using two different pooling mechanisms on either a single modality or their combination. We demonstrate that the model which utilises both visual and language inputs can be used to generate accurate and diverse paragraphs when combined with a particular pooling mechanism. The results of our automatic and human evaluation show that learning to embed semantic information along with visual stimuli into the paragraph generation model is not trivial, raising a variety of proposals for future experiments.
","frontmatter":{"title":"When an Image Tells a Story: The Role of Visual and Semantic Information for Generating Paragraph Descriptions","lecturer":"Nikolai Ilinykh","duration":"2 hours","date":"10 Mar, 2021","venue":"Gothenburg","slides":{"publicURL":"/static/fcc4c266245c300af4d09a015728e10c/clasp_seminar.pdf"}},"fields":{"slug":"/events/seminars/2021-03-10/Nikolai-Ilinykh/"}}},"pageContext":{"slug":"/events/seminars/2021-03-10/Nikolai-Ilinykh/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-03-24/Julia-Hockenmaier/page-data.json b/page-data/events/seminars/2021-03-24/Julia-Hockenmaier/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-03-24/Julia-Hockenmaier/","result":{"data":{"markdownRemark":{"html":"
Virtual gaming platforms such as Minecraft allow us to study situated natural language generation and understanding tasks for agents that operate in complex 3D environments. In this talk, I will present work done by my group on defining a collaborative Blocks World construction task in Minecraft. In this task, one player (the Architect) needs to instruct another (the Builder) via a chat interface to construct a given target structure that only the Architect is shown. Although humans easily complete this task (often after lengthy back-and-forth dialogue), creating agents for each of this role poses a number of challenges for current NLP technologies. To understand these challenges, I will describe the dataset we have collected for this task, as well as the models that we have developed for both roles.
","frontmatter":{"title":"Collaborative Construction and Communication with Minecraft","lecturer":"Julia Hockenmaier","duration":"2 hours","date":"24 Mar, 2021","venue":"Gothenburg","slides":{"publicURL":"/static/4b4fef3e35a0b37b7a3400b8f26c05b9/HockenmaierMinecraftNEW.pdf"}},"fields":{"slug":"/events/seminars/2021-03-24/Julia-Hockenmaier/"}}},"pageContext":{"slug":"/events/seminars/2021-03-24/Julia-Hockenmaier/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-03-31/Giulia-Perugia/page-data.json b/page-data/events/seminars/2021-03-31/Giulia-Perugia/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-03-31/Giulia-Perugia/","result":{"data":{"markdownRemark":{"html":"
In this talk, I will give an overview of two studies that I have recently published in Frontiers in Robotics and AI and Computers in Human Behavior with colleagues of Uppsala University and the University of Potsdam. Both the studies revolve around a geography-themed Rapid Dialogue Game (RDG), the map game, in which a human and a robot are tasked with identifying as many countries as possible on the world map in a given time of 10 minutes. In the Frontiers in Robotics and AI paper, we presented a study in which we explored how people's perceptions of a Furhat robot and engagement with it and the map game could be assessed through implicit and continuous measurement techniques, such as gaze, over repeated interactions. We involved participants in three interaction sessions with multiple days of zero exposure in between. Each interaction session consisted of 10 minutes of play with the map game and two short social chats with Furhat before and after the game. Furhat’s facial texture was varied so as to make the robot’s face look humanlike, mechanical, or a morph between the humanlike and the mechanical. We measured participants' gaze patterns with a wearable eye-tracker and gauged their perception of the robot and engagement with it and the joint task using questionnaires. The study results disclosed that aversion of gaze in a social chat is an indicator of a robot's uncanniness and that the more people gaze at the robot in a joint task, the worse they perform. Furthermore, the analyses of gaze patterns in repeated interactions showed that people's mutual gaze in a social chat develops congruently with their perceptions of the robot over time. These are key findings for the HRI community as they entail that gaze behavior can be used as an implicit measure of people's perception of robots in a social chat and of their engagement and task performance in a joint task.
\n
In the Computers in Human Behavior paper, we presented a study in which participants played the map game with a Furhat robot displaying one of two personalities, which corresponded to two different interaction strategies. The robot was either optimistic and encouraging or impatient and provocative. We performed the study in a science museum and recruited participants among the visitors. The study's goal was to understand whether a robot's interaction strategy, in this case, the robot's personality, could weaken initial uncanny feelings due to the robot's appearance (humanlike or a morph between a humanlike and a mechanical appearance). Our findings suggest that giving participants the time to interact with a robot that is rated high on agreeableness, emotional stability, and conscientiousness can indeed lower initial perceptions of uncanniness. This study has important implications for the design of dialogue systems as the robot's utterances that contributed to the perception of the robot's personalities were completely authored and evaluated by crowd-workers on Amazon Mechanical Turk (AMT).
\n
• Perugia, G., Paetzel-Prüsmann, M., Madelene Alanenpää, & Castellano, G. (2021). I Can See it in Your Eyes: Gaze as an Implicit Cue of Uncanniness and Task Performance in Repeated Interactions with Robots. Frontiers in Robotics and AI. DOI: 10.3389/frobt.2021.645956
\n
• Paetzel-Prüsmann, M., Perugia, G., & Castellano, G. (2021). The Influence of Robot Personality on the Development of Uncanny Feelings. Computers in Human Behavior, 106756. DOI: 10.1016/j.chb.2021.106756
","frontmatter":{"title":"Gaze, Personality, and the Uncanny Valley: Implicit Cues of Uncanny feelings and Interaction Strategies to Overcome them","lecturer":"Giulia Perugia","duration":"2 hours","date":"31 Mar, 2021","venue":"Gothenburg","slides":{"publicURL":"/static/6cb0535e962f007e411bc4307e5914c3/presentation_GU_2021_03_31_GP.pdf"}},"fields":{"slug":"/events/seminars/2021-03-31/Giulia-Perugia/"}}},"pageContext":{"slug":"/events/seminars/2021-03-31/Giulia-Perugia/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-04-07/Nick-Chater/page-data.json b/page-data/events/seminars/2021-04-07/Nick-Chater/page-data.json
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@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-04-07/Nick-Chater/","result":{"data":{"markdownRemark":{"html":"
People can communicate successfully with almost any signal. A nod, gesture or a look can, in context, successfully convey a message without any prior agreement between the sender and receiver. This talk describes experiments in which the astonishing flexibility of human communication is illustrated. For example, subtle changes in the communicative setup and cause people to spontaneously reverse the meaning of a simple signal, without any prior agreement. Successful communication seems to require that people must agree, somehow or other, the mapping between signals and message. How is this possible? We argue that communication, and joint action more generally, requires that such agreements are reached by a process of “virtual bargaining,” which is surprisingly sophisticated.
","frontmatter":{"title":"Virtual bargaining: The hidden logic of joint action and communication","lecturer":"Nick Chater","duration":"2 hours","date":"07 Apr, 2021","venue":"Gothenburg","slides":{"publicURL":"/static/f4ea898d5683a5ec95ad8841da35046f/Virtual-Bargaining.pdf"}},"fields":{"slug":"/events/seminars/2021-04-07/Nick-Chater/"}}},"pageContext":{"slug":"/events/seminars/2021-04-07/Nick-Chater/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-04-14/Robin-Cooper/page-data.json b/page-data/events/seminars/2021-04-14/Robin-Cooper/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-04-14/Robin-Cooper/","result":{"data":{"markdownRemark":{"html":"
Pyttr is an attempt to implement TTR in a way that will be useful for agents like robots which are observing and negotiating a changing environment. Two key aspects of this are: Dynamic processing -- witnesses can be added to types during computation (meant to be useful for agents observing new objects and making judgements about their types) and witness conditions can be added to a type during computation (meant to be useful for agents engaging in a learning process and refining the definition of a type on the fly). Types as an interface to an extra-typetheoretical world -- witness conditions for types can call on arbitrary external modules which need not be implemented in pyttr, for example, classifiers created by standard machine-learning techniques.
\n
In non-probabilistic pyttr, objects which have been judged to be witnesses for a type are stored in a witness cache for that type. In probabilistic pyttr objects which have been judged for a type are stored in the witness cache paired together with a probability interval, [n,m], indicating that the object is judged to be of the type with minimum probability n and maximum probability m. One interesting consequence of this is that we can store a negative judgement of an object (i.e. paired with the interval [0,0]). Also \"Don't know\" results ([0,1]) can be returned (since all probabilities are between 0 and 1).
\n
In the talk I will go through some of the examples in the probttr notebook cited above and discuss some of the questions that this approach raises -- to which I suspect the audience may have different answers than those which I have assumed in the implementation...
","frontmatter":{"title":"Types and probability: Implementing probabilistic TTR","lecturer":"Robin Cooper","duration":"2 hours","date":"14 Apr, 2021","venue":"Gothenburg","slides":{"publicURL":"/static/4ffedeca424dd6774b00ff6ce8268a06/typprob-slides.pdf"}},"fields":{"slug":"/events/seminars/2021-04-14/Robin-Cooper/"}}},"pageContext":{"slug":"/events/seminars/2021-04-14/Robin-Cooper/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-04-28/Mark-Steedman/page-data.json b/page-data/events/seminars/2021-04-28/Mark-Steedman/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-04-28/Mark-Steedman/","result":{"data":{"markdownRemark":{"html":"
Any theory of natural language consists of two modules: the grammar, which defines the semantics, and the model, which deals with the large amount of ambiguity inherent in natural languages concerning which meaning is in play. Even in linguistics, there is always a question as to the appropriate division of responsibility between the two for any phenomenon under discussion (although this question is not always acknowledged).
\n
In the case of semantic parsing, the mapping of strings of the language onto meaning representations, it has recently become clear that sequence-to-sequence models in which the entire responsibility lies with a neuro-computational machine-learned language model trained on paired strings and structured meaning representations such as treebank trees or dependency graphs can perform as well as rule-based parsing trained on comparable amounts of labeled data. The most data-efficient semantic parsers of this kind use the data to \"fine-tune\" language models based on contextualized word-embeddings, in which words are associated with vectors in a dimensionally-reduced space which preserve the Euclidean character of the original sparse high-dimensional associative matrix, trained over vast amounts of text.
\n
This triumph of the model in semantic parsing raises the question of whether the embeddings that are so effective in disambiguating words for that purpose might also take the place of word-meanings, with linear-algebraic operations such as vector addition and multiplication providing compositionality in semantic representation.
\n
In particular, it has recently been suggested that sequence-to-sequence transduction can be applied to logical inference, to capture relations of entailment between propositions representing relations over tuples of entities, such as that if Google bought YouTube, then Google owns YouTube.
\n
The talk will compare two distributional approaches to such inference. One is an unsupervised approach, under which entailment between relations like buying and owning is detected by parsing large volumes of text to detect subsumption between distributions of counts of tuples of entities standing in those relations, to build an entailment graph in which the nodes are relations. The other approach is supervised, based on pretrained embeddings, and uses corpora of entailing and nonentailing pairs to fine-tune the embeddings for entailment deduction, using much the same sequence-to-sequence alignment that is used in semantic parsing and neural machine translation.
\n
The talk will argue that the two approaches are complementary, in that the language model-based approach can be used to detect paraphrase, or bidirectional entailment, thereby increasing recall, but will conclude that there is no evidence that it can distinguish directional entailments. It will argue that this deficiency is inherent in the embeddings themselves, which are associative, rather than semantic.
","frontmatter":{"title":"Why we still need Grammars for NLP","lecturer":"Mark Steedman","duration":"2 hours","date":"28 Apr, 2021","venue":"Gothenburg","slides":{"publicURL":"/static/882beee1a2ec38f51f8e7b7c45105415/gothenburg21.pdf"}},"fields":{"slug":"/events/seminars/2021-04-28/Mark-Steedman/"}}},"pageContext":{"slug":"/events/seminars/2021-04-28/Mark-Steedman/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-05-12/Staffan-Larsson/page-data.json b/page-data/events/seminars/2021-05-12/Staffan-Larsson/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-05-12/Staffan-Larsson/","result":{"data":{"markdownRemark":{"html":"
We propose a probabilistic account of semantic inference, classification and learning formulated in terms of probabilistic type theory with records (ProbTTR), building on Cooper et al. (2014, 2015). We suggest probabilistic type theoretic formulations of Naive Bayes Classifiers and Bayesian Networks. A central element of these constructions is a type-theoretic version of a random variable. We illustrate this account with a simple language game combining probabilistic classification of perceptual input with probabilistic (semantic) inference and learning. We also show how two alternative accounts of learning in this context can be cast in ProbTTR. (This is work that has been presented in earlier stages to CLASP but it is still in progress, in collaboration with Robin Cooper and Jean-Philippe Bernardy).
","frontmatter":{"title":"Bayesian inference and learning in Probabilistic Type Theory with Records","lecturer":"Staffan Larsson","duration":"2 hours","date":"12 May, 2021","venue":"Gothenburg","slides":{"publicURL":"/static/18e62b108dff787801e9cc86478a9242/ProbTTR_IWCS(6).pdf"}},"fields":{"slug":"/events/seminars/2021-05-12/Staffan-Larsson/"}}},"pageContext":{"slug":"/events/seminars/2021-05-12/Staffan-Larsson/"}},"staticQueryHashes":["3875542623"]}
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diff --git "a/page-data/events/seminars/2021-05-19/J\303\266rg-Tiedemann/page-data.json" "b/page-data/events/seminars/2021-05-19/J\303\266rg-Tiedemann/page-data.json"
new file mode 100644
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+++ "b/page-data/events/seminars/2021-05-19/J\303\266rg-Tiedemann/page-data.json"
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-05-19/Jörg-Tiedemann/","result":{"data":{"markdownRemark":{"html":"
Neural sequence-to-sequence architectures are powerful models for various NLP tasks, machine translation being one of them. We are interested in exploring the representations that are learned by such models when trained on large and diverse multilingual data sets. It is still an open question what kind of linguistic properties are covered and how they are encoded in complex architectures such as a multi-layered transformer architecture, the current state-of-the-art in machine translation and many other tasks. Our main questions include the influence of multilinguality on linguistic abstraction, the traces of specific syntactic and semantic patterns in language representations and the differences of embeddings spaces trained with different objectives. In the talk I will discuss a few of our recent studies as part of the ERC project \"Found in Translation\" and the additional questions that they raise.
","frontmatter":{"title":"What's in a translation model? Analyzing neural seq2seq models and the representations they learn","lecturer":"Jörg Tiedemann","duration":"2 hours","date":"19 May, 2021","venue":"Gothenburg","slides":{"publicURL":"/static/6f930a826e60ba8fe03b1c7249bdba30/CLASP-FoTran.pdf"}},"fields":{"slug":"/events/seminars/2021-05-19/Jörg-Tiedemann/"}}},"pageContext":{"slug":"/events/seminars/2021-05-19/Jörg-Tiedemann/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-05-26/Moa-Johansson/page-data.json b/page-data/events/seminars/2021-05-26/Moa-Johansson/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-05-26/Moa-Johansson/","result":{"data":{"markdownRemark":{"html":"
In this talk I will describe cross disciplinary project involving computer scientists and political scientists, funded by WASP-HS. Political scientists have an increasing interest in using AI methods in their research. In particular, the “text-as-data” paradigm is growing and require knowledge about techniques from machine learning, data science and natural language processing. Various sources of data is used, from short informal twitter posts, to transcripts of speeches or written parliamentary motions. Furthermore, the language of the country of study will influence the choice of AI techniques. For instance, a lot more data is available for English than for smaller languages, which means that powerful but data-hungry deep neural network methods might not always be the first choice.
\n
In our project, we have chosen to initially focus on written motions from the Swedish parliament, after also exploring transcripts of speeches from the US Senate. I will briefly describe some preliminary results where we compare the word embeddings resulting from training machine learning models on data from different parties. Is there a difference in how opposing parties use language about controversial issues which is reflected in word embeddings? Can this hint at differences in policy and ideology?
\n
This project is joint work between political scientists at Karlstad University (Annika Fredén and Pasko Kisic Merino) and computer scientists at Chalmers (Moa Johansson and Denitsa Saynova).
","frontmatter":{"title":"Bias and Methods of AI technology studying Political Science","lecturer":"Moa Johansson","duration":"2 hours","date":"26 May, 2021","venue":"Gothenburg","slides":{"publicURL":"/static/6951bf8af4cabbd5404a312e0c45c6d2/CLASP-seminar-20210527.pdf"}},"fields":{"slug":"/events/seminars/2021-05-26/Moa-Johansson/"}}},"pageContext":{"slug":"/events/seminars/2021-05-26/Moa-Johansson/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-06-02/Richard-Johansson/page-data.json b/page-data/events/seminars/2021-06-02/Richard-Johansson/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-06-02/Richard-Johansson/","result":{"data":{"markdownRemark":{"html":"
Building computers that understand human language is one of the central goals in artificial intelligence. A recent breakthrough on the way towards this goal is the development of neural models that learn deep contextualized representations of language. However, while these models have substantially advanced the state of the art in NLP for a wide range of tasks, our understanding of the learned representations and our repertoire of techniques for integrating them with other knowledge representations and modalities remain limited.
\n
This talk will give an introduction to the project \"Interpreting and Grounding Pre-trained Representations for Natural Language Processing\", where we will develop new models that explore synergies between language representations and modalities of different types as well as analysis methods to investigate properties of learned representations. The project is funded by WASP and is a collaboration between Chalmers, Linköping University, and Recorded Future. We will give a high-level introduction to the overall goals of the project and then highlight some recent work where we investigate the effects of multimodal training of language models.
","frontmatter":{"title":"Interpreting and Grounding Pre-trained Representations for Natural Language Processing","lecturer":"Richard Johansson and Lovisa Hagström","duration":"2 hours","date":"02 Jun, 2021","venue":"Gothenburg","slides":{"publicURL":"/static/729ff32f73ab776975db43b36bb91c8e/CLASP_RJ_LH.pdf"}},"fields":{"slug":"/events/seminars/2021-06-02/Richard-Johansson/"}}},"pageContext":{"slug":"/events/seminars/2021-06-02/Richard-Johansson/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-06-09/page-data.json b/page-data/events/seminars/2021-06-09/page-data.json
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@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-06-09/","result":{"data":{"markdownRemark":{"html":"
Natural Language Processing (NLP) is the field of building machines that humans can seamlessly interact with through spoken and written language. As NLP systems become more ubiquitous in our daily lives through technologies like Google Translate and Apple’s Siri, it is important to develop methods that provide insight into understanding the reasoning capabilities of these systems. I will cover my work on developing diagnostic test-suites composed of fine-grained semantic phenomena. With remaining time, I will highlight some recent work in the community applying RTE as an evaluation method to downstream NLP models.
","frontmatter":{"title":"Exploring Reasoning Capabilities of NLP systems using Recognizing Textual Entailment","lecturer":"Adam Poliak","duration":"2 hours","date":"09 Jun, 2021","venue":"Gothenburg","slides":null},"fields":{"slug":"/events/seminars/2021-06-09/"}}},"pageContext":{"slug":"/events/seminars/2021-06-09/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-08-25/page-data.json b/page-data/events/seminars/2021-08-25/page-data.json
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+++ b/page-data/events/seminars/2021-08-25/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-08-25/","result":{"data":{"markdownRemark":{"html":"
In recent years several corpora have been developed for vision and language tasks. However, there is still significant room for corpora that increase the complexity of both visual and linguistic domains and which capture different varieties. In this talk, I will present work extending the ARRAU (Uryupina et al., 2020) annotation scheme to account for the situated dialog genre. This annotation scheme covers a broad range of referential phenomena and is compatible with the textual task of coreference resolution. I will mention some of the open questions regarding the semantics of reference and annotation, but also the opportunities that such annotation offers.
","frontmatter":{"title":"Annotating Anaphoric Phenomena in Situated Dialog","lecturer":"Sharid Loáiciga","duration":"2 hours","date":"25 Aug, 2021","venue":"Gothenburg","slides":null},"fields":{"slug":"/events/seminars/2021-08-25/"}}},"pageContext":{"slug":"/events/seminars/2021-08-25/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-10-20/page-data.json b/page-data/events/seminars/2021-10-20/page-data.json
new file mode 100644
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--- /dev/null
+++ b/page-data/events/seminars/2021-10-20/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-10-20/","result":{"data":{"markdownRemark":{"html":"
Abstract: “Vector-based models represent the meaning of words as numeric vectors, based on the words’ co-occurrence usage statistics as reflected in natural texts. These representations are ubiquitous in everyday language technology applications, and are also the object of scientific inquiry in computational linguistic, social sciences, and other data-driven research domains. Despite significant differences in the architecture of different models (e.g., whether they are static or contextualized word embeddings), all models can be thought of as implementing the distributional hypothesis. Perhaps due to the original theoretical framing of this hypothesis (“You shall know a word by the company it keeps”), word vectors are typically analyzed as separate units, and their potential interactions are thus overlooked. This unnecessarily limits the potential that lies in these representations for both scientific research and language technology applications.
\n
I will present a novel framework that analyzes the entire vector space of a language, rather than focusing on individual vectors. Indeed, when the entire semantic space spanned by these vector representations is analyzed using spectral analysis, new information and language related features emerge. I will present results from cross-lingual transfer learning tasks, which are particularly suitable for the testing of the current framework, since performance in these tasks is impacted by the similarity between the languages at hand (i.e. the assumption of isomorphism between vector spaces). I will present a large-scale study focused on the correlations between similarity scores that were developed and computed for vector spaces and task performance, covering thousands of language pairs and four different tasks: Automatic bilingual lexicon induction (BLI), syntactic parsing, Part-Of-Speech tagging and Machine Translation. I will further introduce several similarity-isomorphism measures between two vector spaces, based on the relevant statistics of their individual spectra. I will empirically show that: (a) similarity scores derived from such spectral isomorphism measures are strongly associated with performance observed in different cross-lingual tasks; (b) these spectral-based measures consistently outperform previous standard isomorphism measures which are computed at the word level, while being computationally more tractable and easier to interpret; (c) these novel similarity-isomorphism measures capture complementary information to linguistic distance measures, and the combination of measures from the two types of measures yields even better results. Overall, these findings make an inroad to a new type of analysis, and demonstrate that richer and unique information lies beyond simple word level analysis.”
","frontmatter":{"title":"A space is worth a thousand words: A new spectral analysis method to evaluate vector space similarity","lecturer":"Haim Dubossarsky from the University of Cambridge","duration":"2 hours","date":"20 Oct, 2021","venue":"Gothenburg","slides":null},"fields":{"slug":"/events/seminars/2021-10-20/"}}},"pageContext":{"slug":"/events/seminars/2021-10-20/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-10-27/page-data.json b/page-data/events/seminars/2021-10-27/page-data.json
new file mode 100644
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--- /dev/null
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@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-10-27/","result":{"data":{"markdownRemark":{"html":"
Abstract: Word vectors, more recently called embeddings, capture regularities about a word's observed context items. In their most recent incarnation, contextualized word embeddings -- vectors for words in context -- are learned in contextualized language models. These embeddings could maybe become a great resource for lexical semantics, and a building block for structured sentence semantics. But in order to get there, we need to figure out how best to use contextualized embeddings for characterizing lexical meaning, and understand what kind of lexical meaning they provide, which theory of lexical meaning they best match. In this talk, I will discuss some recent steps that we have taken in this direction. There are several proposals in the\nrecent literature for how best to use contextualized embeddings for lexical semantics -- intriguingly with conflicting findings. In our own proposal, we proposed computing multi-prototype representations from contextualized embeddings. With this representation, we can recover the old distinction of word similarity (as in dog-cat) versus word relatedness (as in dog-kennel) at different layers of embeddings from BERT, a contextualized language model. Taking a closer look at those multi-prototype embeddings, we see that they often match typical scenes or stories connected to a word, rather than different denotations. We argue that embeddings reflect a human perspective on the world as expressed in the way that humans use words: what humans find important, useful, and useless, what judgments they make, and what stories they like to tell using the words -- similar to Fillmore's Semantics of Understanding. This \"story bias\" is not new in contextualized embeddings, rather it has been observed, again and again, in bits and pieces, even with count-based vectors, and it is instructive to put all the pieces of evidence together. We argue that this \"story bias\" is not a flaw, not noise, but worth studying in its own right.
","frontmatter":{"title":"Contextualized embeddings for semantics: some steps along the way","lecturer":"Katrin Erk from the University of Texas","duration":"2 hours","date":"27 Oct, 2021","venue":"Gothenburg","slides":null},"fields":{"slug":"/events/seminars/2021-10-27/"}}},"pageContext":{"slug":"/events/seminars/2021-10-27/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-11-10/page-data.json b/page-data/events/seminars/2021-11-10/page-data.json
new file mode 100644
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--- /dev/null
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@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-11-10/","result":{"data":{"markdownRemark":{"html":"
Abstract: This talk showcases some work currently being done with Jean-Philippe Bernardy. We provide a general framework for the integration of formal semantics based on the simply typed λ-calculus with probabilistic reasoning. The framework is conservative, in the sense that it relies only on typed λ-calculus itself and is thus compatible with many logical systems already in use. The framework is also presented modularly, in that it regards probabilistic effects (i.e., sampling and marginalization) as /side effects/, using continuations. We show how our framework may be used to build probabilistic programs compositionally within higher-order logic and then illustrate its use on some applications (semantic learning/inference).
","frontmatter":{"title":"Probabilistic compositional semantics, purely","lecturer":"Julian Grove, University of Gothenburg","duration":"2 hours","date":"10 Nov, 2021","venue":"Gothenburg and Online","slides":{"publicURL":"/static/219666bb5e88278bc8ad5de71279d352/claspnov10.pdf"}},"fields":{"slug":"/events/seminars/2021-11-10/"}}},"pageContext":{"slug":"/events/seminars/2021-11-10/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-11-17/page-data.json b/page-data/events/seminars/2021-11-17/page-data.json
new file mode 100644
index 0000000000..f861d99ce6
--- /dev/null
+++ b/page-data/events/seminars/2021-11-17/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-11-17/","result":{"data":{"markdownRemark":{"html":"","frontmatter":{"title":"How language understanding unfolds in minds and machines","lecturer":"Roger Levy, MIT","duration":"2 hours","date":"17 Nov, 2021","venue":"Gothenburg and Online","slides":null},"fields":{"slug":"/events/seminars/2021-11-17/"}}},"pageContext":{"slug":"/events/seminars/2021-11-17/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-11-24/page-data.json b/page-data/events/seminars/2021-11-24/page-data.json
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index 0000000000..570b1039b9
--- /dev/null
+++ b/page-data/events/seminars/2021-11-24/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-11-24/","result":{"data":{"markdownRemark":{"html":"
Abstract: “As a simple search heuristic, beam search has been used to decode models developed by the NLP community for decades. Indeed, it is noteworthy that beam search is one of the few NLP algorithms that has stood the test of time: It has remained a cornerstone of NLP systems since the 1970s (Reddy, 1977). As such, beam search became the natural choice for decoding neural probabilistic text generators—whose design makes evaluating the full search space impossible While there is no formal guarantee that beam search will return—or even approximate—the highest-scoring candidate under a model, it has repeatedly proven its merit in practice and, thus, has largely been tolerated—even embraced—as NLP’s go-to search heuristic. This talk further embraces beam search. We discuss two novel formal insights into beam search. In the first act, we discuss an algorithmic advance that allows beam search to be prioritized, i.e. it returns the best hypothesis (modulo the beam size) first. Our algorithmic extension yields a Dijkstra-ified beam search that provably emulates standard beam search. In the second act, we draw a connection between the uniform information density hypothesis from cognitive science and beam search’s efficacy as a search heuristic. We offer a linguistic reason why beam search may work so well in practice even though, as an approximation to the argmax, it may be arbitrarily bad. The work described in this talk is described in publications at TACL (20200 and EMNLP (2020) and won an honorable mention for best paper at the latter.”
\n
Bio:\nRyan Cotterell completed his undergraduate degree at Johns Hopkins University in Cognitive Science (with focal areas in Linguistics and Computational Methods) under the tutelage of Colin Wilson. He was then recruited by Jason Eisner to do a Ph.D. in Computer Science at Johns Hopkins University where he was a member of the Center for Language and Speech Processing. He is currently a tenure-track assistant professor at ETH Zürich in the Department of Computer Science where he is a member of the Institut für maschinelles Lernen. He was previously a Lecturer at the Computer Laboratory at the University of Cambridge in the United Kingdom where he is still affiliated. He has also done research stints at Google AI, Facebook AI Research and the Ludwig Maximilian University of Munich.
","frontmatter":{"title":"Two New Insights into Beam Search","lecturer":"Ryan Cotterell, University of Zürich","duration":"2 hours","date":"24 Nov, 2021","venue":"Gothenburg and Online","slides":null},"fields":{"slug":"/events/seminars/2021-11-24/"}}},"pageContext":{"slug":"/events/seminars/2021-11-24/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-12-08/page-data.json b/page-data/events/seminars/2021-12-08/page-data.json
new file mode 100644
index 0000000000..6f8ffbb6d5
--- /dev/null
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@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-12-08/","result":{"data":{"markdownRemark":{"html":"
Abstract: \"Abstract Wikipedia is an initiative from the Wikimedia Foundation to generate Wikipedia articles from an abstract (i.e. language-neutral) source in multiple languages. The goal has been set to 20 million articles in over 300 languages, guaranteed to be in synchrony with up-to-date information and thereby with each other. This is by far the largest Natural Language Generation (NLG) project of all times. Grammatical Framework (GF), with 40 languages and specialized domains such as science, law, and e-commerce, is orders of magnitude smaller. Nevertheless, GF has served as inspiration for Abstract Wikipedia, and pilot projects have started to scale it up to the task. Research in both NLG techniques, language resources, processing algorithms, and interaction with human authors is needed. This talk will outline a possible way to build up Abstract Wikipedia by starting with simple text-robot-like techniques and proceeding to more sophisticated NLG.\"
","frontmatter":{"title":"Abstract Wikipedia and Vastly Multilingual Natural Language Generation","lecturer":"Aarne Ranta, University of Gothenburg & Chalmers","duration":"2 hours","date":"08 Dec, 2021","venue":"Gothenburg and Online","slides":null},"fields":{"slug":"/events/seminars/2021-12-08/"}}},"pageContext":{"slug":"/events/seminars/2021-12-08/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2021-12-15/page-data.json b/page-data/events/seminars/2021-12-15/page-data.json
new file mode 100644
index 0000000000..a4c136c62a
--- /dev/null
+++ b/page-data/events/seminars/2021-12-15/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2021-12-15/","result":{"data":{"markdownRemark":{"html":"
Abstract:
\n
The current approach to AI uses large datasets and fixed domains where systems learn to perform a single desired task to a very high level. However, each system is designed only for that limited task, which means that moving into new areas is costly and AI is only really feasible in domains with enough. However, the world is extremely complex with constraints constantly shifting and large variation between. For this reason Interactive Task Learning (ITL) is starting to be studied with the aim to build systems that are deployed not with a set of fixed skills, but deployed with the ability to learn new tasks through interactions with human users who aren’t experts in AI. To achieve this goal we need to develop methods of interaction which are natural for humans to perform and build systems that can learn from these natural modes of. In this talk I will present my PhD work on this topic where I look at how a teacher might use verbal corrective feedback to teach the agent about a task. We utilise concepts from formal semantics and pragmatics to reason about how the agent’s knowledge should change given the teacher’s utterance. In particular, we use the concept of coherence to place constraints on a probabilistic model for inferring what the world state is and what the teacher intended to convey with its correction. I present experiments testing our hypothesis which is that verbal corrections allow an agent to learn faster than it would if it just learns from the word “no” and we show that the learning is facilitated by the constraints imposed by coherence.
","frontmatter":{"title":"Interactive Task Learning From Corrective Feedback","lecturer":"Mattias Appelgren, University of Edinburgh","duration":"2 hours","date":"15 Dec, 2021","venue":"Gothenburg and Online","slides":null},"fields":{"slug":"/events/seminars/2021-12-15/"}}},"pageContext":{"slug":"/events/seminars/2021-12-15/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-01-13/page-data.json b/page-data/events/seminars/2022-01-13/page-data.json
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index 0000000000..b37023e0aa
--- /dev/null
+++ b/page-data/events/seminars/2022-01-13/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2022-01-13/","result":{"data":{"markdownRemark":{"html":"
Abstract: Are you a researcher (postgrad or staff) working with large data sets, critical discourse analysis, and/or use tools to analyse and interpret your data? Have you encountered limits of visualising your results?\nDigital Humanities, Social Sciences, and Natural Language Processing (NLP) all use computational methods for corpus research but face similar problems when critically interpreting and subsequently visualising their empirical data.\nIn this presentation, I will start by taking you through some of the online tools and software that you can use to visualise your corpus.\nThe second part of the talk will be a step-by-step Python-3 tutorial for those who want an easy start to getting data from Twitter and applying some common techniques in NLP, Text Analysis, Machine Learning, Topic Modelling, and Corpus Linguistics.\nThe Python tutorial will be made available on GitHub so you can practice those in your spare time.
","frontmatter":{"title":"Visualise my Corpus","lecturer":"Mo El-Haj, Lancaster University","duration":"2 hours","date":"13 Jan, 2022","venue":"Gothenburg and Online","slides":{"publicURL":"/static/ba68411e27b124128b8a3594c36c0bb9/visualise_my _corpus.pdf"}},"fields":{"slug":"/events/seminars/2022-01-13/"}}},"pageContext":{"slug":"/events/seminars/2022-01-13/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-01-26/page-data.json b/page-data/events/seminars/2022-01-26/page-data.json
new file mode 100644
index 0000000000..04a85e7b91
--- /dev/null
+++ b/page-data/events/seminars/2022-01-26/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2022-01-26/","result":{"data":{"markdownRemark":{"html":"
Abstract: “Unitary-evolution recurrent neural networks (URN) were previously introduced to address the problem of exploding and vanishing gradients, but have several other advantages. In this talk I will focus on the word embeddings that they learn. These are unitary matrices (unitary embeddings for short). Because of the absence of activation functions, the behaviour of the network is amenable to analysis using the methods of linear algebra. In particular unitary embeddings can be composed by multiplication. We develop and train a variant of the URN for two NLP-relevant tasks, and we achieve state of the art results on both. Our experiments show that they are able to track long distance dependencies, without additional storage or processing devices.”
","frontmatter":{"title":"Unitary Matrices are Composable and Learnable Word Embeddings","lecturer":"Jean-Philippe Bernardy and Shalom Lappin from University of Gothenburg","duration":"2 hours","date":"26 Jan, 2022","venue":"Online","slides":null},"fields":{"slug":"/events/seminars/2022-01-26/"}}},"pageContext":{"slug":"/events/seminars/2022-01-26/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-02-02/page-data.json b/page-data/events/seminars/2022-02-02/page-data.json
new file mode 100644
index 0000000000..073f36d4cb
--- /dev/null
+++ b/page-data/events/seminars/2022-02-02/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2022-02-02/","result":{"data":{"markdownRemark":{"html":"
Abstract: \"In this talk, I will present and discuss the results from our recently published journal article on how language can affect the structure of visual representations captured in multi-modal transformer (https://doi.org/10.3389/frai.2021.767971). This study examined learned self-attention patterns and focused on how two modalities affect each other's representations. In particular, these patterns captured various object-level relations (e.g., part-of vs whole) in different layers. Plus, we demonstrate the grounding of objects in text in deeper layers. Also, we observe a strong priming signal from language modality that eventually shapes and determines learned attention. In addition, we show that these findings echo several studies from cognitive science on how the human brain processes visual information. Our experiments demonstrate that knowledge captured by a multi-modal transformer can be not only interpreted but also linked with how humans structure the visual world around them. Thus, the question is: do such structures occur randomly or due to an actual learning process, and why do we observe so many similarities with the hierarchical visual processing performed by humans?\"
","frontmatter":{"title":"On the Interplay between Language and Vision in Transformers: How Much of a \"Multi-Modal Learning\" Do We Observe?","lecturer":"Nikolai Ilinykh from University of Gothenburg","duration":"2 hours","date":"02 Feb, 2022","venue":"Online","slides":{"publicURL":"/static/1d272d9e22434d5ad0b362eb7832c0b7/clasp-talk-nikolai-020222.pdf"}},"fields":{"slug":"/events/seminars/2022-02-02/"}}},"pageContext":{"slug":"/events/seminars/2022-02-02/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-02-09/page-data.json b/page-data/events/seminars/2022-02-09/page-data.json
new file mode 100644
index 0000000000..191cee996f
--- /dev/null
+++ b/page-data/events/seminars/2022-02-09/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2022-02-09/","result":{"data":{"markdownRemark":{"html":"
Abstract: \"In this talk, I will present and discuss the results from our recently published journal article on how language can affect the structure of visual representations captured in multi-modal transformer (https://doi.org/10.3389/frai.2021.767971). This study examined learned self-attention patterns and focused on how two modalities affect each other's representations. In particular, these patterns captured various object-level relations (e.g., part-of vs whole) in different layers. Plus, we demonstrate the grounding of objects in text in deeper layers. Also, we observe a strong priming signal from language modality that eventually shapes and determines learned attention. In addition, we show that these findings echo several studies from cognitive science on how the human brain processes visual information. Our experiments demonstrate that knowledge captured by a multi-modal transformer can be not only interpreted but also linked with how humans structure the visual world around them. Thus, the question is: do such structures occur randomly or due to an actual learning process, and why do we observe so many similarities with the hierarchical visual processing performed by humans?\"
","frontmatter":{"title":"Grounded language learning, from sounds and images to meaning","lecturer":"Afra Alishahi from Tilburg University","duration":"2 hours","date":"09 Feb, 2022","venue":"Online","slides":null},"fields":{"slug":"/events/seminars/2022-02-09/"}}},"pageContext":{"slug":"/events/seminars/2022-02-09/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-02-16/page-data.json b/page-data/events/seminars/2022-02-16/page-data.json
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Abstract:
\n
The success of artificial neural networks in language processing tasks has underscored the need to understand how they accomplish their behavior, and, in particular, how their internal vector representations support that behavior. The probing paradigm, which has often been invoked to address this question, relies on the (typically implicit) assumption that if a classifier can decode a particular piece of information from the model's intermediate representation, then that information plays a role in shaping the model's behavior. This assumption is not necessarily justified. Using the test case of everyone's favorite syntactic phenomenon - English subject-verb number agreement - I will present an approach that provides much stronger evidence for the causal role of the encoding of a particular linguistic feature in the model's behavior. This approach, which we refer to as AlterRep, modifies the internal representation in question such that it encodes the opposite value of that feature; e.g., if BERT originally encoded a particular word as occurring inside a relative clause, we modify the representation to encode that it is not inside the relative clause. I will show that the conclusions of this method diverge from those of the probing method. Finally, I will present a method based on causal mediation analysis that makes it possible to draw causal conclusions by applying counterfactual interventions to the inputs, contrasting with AlterRep which intervenes on the model's internal representations.
\n
Bio:
\n
Tal Linzen is an Assistant Professor of Linguistics and Data Science at New York University. Before moving to NYU in 2020, he was a faculty member at Johns Hopkins University, a postdoctoral researcher at the École Normale Supérieure in Paris, and a PhD student at NYU. At NYU, Tal directs the Computational Psycholinguistics Lab, which develops computational models of human language comprehension and acquisition, as well as methods for interpreting and evaluating neural network models for language technologies.
","frontmatter":{"title":"Causal analysis of the syntactic representations of Transformers","lecturer":"Tal Linzen from New York University","duration":"2 hours","date":"16 Feb, 2022","venue":"Gothenburg and Online","slides":null},"fields":{"slug":"/events/seminars/2022-02-16/"}}},"pageContext":{"slug":"/events/seminars/2022-02-16/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-03-02/page-data.json b/page-data/events/seminars/2022-03-02/page-data.json
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Abstract
\n
I will present the main research question and hypothesis of the new project FabulaNet. FabulaNet revolves around the complex question of what determines literary quality and reader appreciation and aims at testing some aesthetic hypotheses with computational means: mainly, the possibility that the fractal properties of narrative texts' sentimental arcs might be contributing to our appreciation of literary stories. After discussing the theoretic and technical premises of the project I will relate early findings from our pilot studies, and I will present the directions we are interested in exploring this year. I will finally discuss the risks and limitations of the study and I will gladly take criticisms and ideas.
","frontmatter":{"title":"The happiness of readers. Fractal scaling of sentiment dynamics and the assessment of literary quality.","lecturer":"Yuri Bizzoni from Aarhus University","duration":"2 hours","date":"02 Mar, 2022","venue":"Gothenburg and Online","slides":null},"fields":{"slug":"/events/seminars/2022-03-02/"}}},"pageContext":{"slug":"/events/seminars/2022-03-02/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-03-09/page-data.json b/page-data/events/seminars/2022-03-09/page-data.json
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Abstract: Slater’s (2007, 2015) Reinforcing Spirals Model has gotten a lot of attention in communication research in recent years. The basic idea is that people that share beliefs flock into groups that have similar media use patterns and form homogeneous groups on social media. This behavior is likely to strengthen their group-defining beliefs, and social identities over time, creating a (sometimes) vicious cycle where beliefs lead to media use patterns, that in return reinforce those beliefs (and so on) over time. In the online sphere, people often rely on group or social identities to communicate to others who they are and what matters to them. One particularly promising way to express belonging to and increase one’s status in a social group is by attacking a supposedly evil outgroup (Tajfel et al., 1979; Klein et al., 2007). My Ph.D. project is located at the intersection of these concepts and aims at better understanding how media content, online homogeneity, and intergroup conflict drive polarization between social groups. Ultimately, I also aim to provide some insights into how online encounters between hostile groups might be designed or streamlined in a way that mitigates their polarizing effect.
\n
Literature:\nKlein, O., Spears, R., & Reicher, S. (2007). Social identity performance: Extending the strategic side of SIDE. Personality and Social Psychology Review, 11(1), 28-45.
\n
Slater, M. D. (2007). Reinforcing spirals: The mutual influence of media selectivity and media effects and their impact on individual behavior and social identity. Communication theory, 17(3), 281-303.
\n
Slater, M. D. (2015). Reinforcing spirals model: Conceptualizing the relationship between media content exposure and the development and maintenance of attitudes. Media Psychology, 18(3), 370-395.
\n
Tajfel, H., Turner, J. C., Austin, W. G., & Worchel, S. (1979). An integrative theory of intergroup conflict. Organizational identity: A reader, 56(65), 9780203505984-16.
","frontmatter":{"title":"Reinforcing Spirals and Online Conflict","lecturer":"Gregor Rettenegger from University of Gothenburg","duration":"2 hours","date":"09 Mar, 2022","venue":"Gothenburg and Online","slides":null},"fields":{"slug":"/events/seminars/2022-03-09/"}}},"pageContext":{"slug":"/events/seminars/2022-03-09/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-03-16/page-data.json b/page-data/events/seminars/2022-03-16/page-data.json
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Abstract:\nFormal studies of discourse raise numerous interrogations on the nature and the definition of the way consecutive sentences coherently combine with one another. Language is intrinsically dynamic: in its semantics in context (e.g. use of references) and in the interaction (e.g. connections between dialogue acts). The shift from discourse to dialogue brings forward even more specific issues among which the ones related to questions and answers articulation. In order to address these issues, we start by focusing on questions from a semantic point of view by investigating real-life data.\nThere are numerous existing formalisms and frameworks for formal semantics of declarative sentences and discourse; dialogue is broadly studied from a linguistic and Natural Language Processing point of view. The goal of the work presented in this talk is to bring classical formal semantics theories to use in a setting oriented towards real-life dialogue. We produce models of dialogue and in particular of the articulation of questions and answers by mingling Neo-Davidsonian Event Semantics (NDES, as presented in Champollion, 2017) with Inquisitive Semantics (IS, Ciardelli et al, 2017) in a compositional and dynamic way through the use of Continuation Style Dynamic Semantics (CSDS, de Groote, 2006, extended in Lebedeva, 2012). Our model is rooted in a syntax-semantics interface implementation called Abstract Categorial Grammars (ACG, de Groote, 2001).
","frontmatter":{"title":"Modeling Dialogue through the Question-Answer relationship","lecturer":"Maria Boritchev","duration":"2 hours","date":"16 Mar, 2022","venue":"Gothenburg and Online","slides":null},"fields":{"slug":"/events/seminars/2022-03-16/"}}},"pageContext":{"slug":"/events/seminars/2022-03-16/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-03-23/page-data.json b/page-data/events/seminars/2022-03-23/page-data.json
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Abstract:
\n
Referred to as verum focus since Höhle (1992), the emphasis on the expression of truth of a proposition is realized in in a variety of ways in languages. For example, German is analyzed as having a verum operator, realized as non-contrastive focus on the verb or the complementizer, while English and Spanish use lexical insertions (Gutzmann and Castroviejo Miró 2011):
\n\n
Cross-linguistic examples (Gutzmann and Castroviejo Miró 2011: 144)
\n\n
A: I wonder whether Carl has finished his book.
\n
B1: Karl HAT sein Buch beendet.
\n
B2: Carl did finish his book.
\n
B3: Carlos sí acabó su libro.
\n
The Bantu languages are known for their high word order flexibility. Different word orders interact with subject vs. expletive agreement, object agreement vs. lack thereof, as well as marking on the noun. The use of the different word orders relates to information structure (Downing and Hyman 2015). However, the finer details of discourse organization are still to be determined. And, the factors characterizing the marking of verum are unexplored for the Bantu languages. What we do know, is that focus is typically not marked through prosodic prominence in these languages (Kanerva 1990, Zerbian 2007).\nIn my most recent VR-project, on which I will start this year, the aim is to investigate the role of different word orders in relation to information structure, and specifically also to answer the question of how verum is expressed. In this talk, I will present the background to this as well as preliminary findings. The project focuses on the Nguni subgroup of Bantu languages (Zulu, Xhosa, Ndebele). For Xhosa, there is an existing corpus developed during previous projects, containing a variety of e.g. conversations, procedural texts (e.g. explaining how to build a house) and narratives (Bloom Ström 2018).\nA secondary aim or output of the project is to digitize this small but unique collection of spoken Xhosa, with data from around the Eastern Cape; to bring this corpus online and make it searchable and available to a wider audience. As there are audio and video recordings, this aim comes with specific technical challenges which are still to be tackled.
\n
References:
\n
Bloom Ström, Eva-Marie. 2018. Linguistic and sociolinguistic aspects of variation in the Eastern Cape: complexities of Xhosa language use. Studia Orientalia Electronica 6:90-120.
\n
Downing, Laura J. and Larry M. Hyman. 2015. Information structure in Bantu. In Caroline Féry and Shinichiro Ishihara (eds): The Oxford Handbook of Information Structure. Oxford handbooks online: Oxford University Press.
\n
Gutzmann, Daniel and Elena Castroviejo Miró. 2011. The dimensions of verum. Empirical issues in syntax and semantics 8:143-165.
\n
Höhle, Tilman. 1992. ‘Über Verum-Fokus im Deutschen’. In J. Jacobs (ed.) Informationsstruktur und Grammatik, 112-142. Germany: Westdeutscher Verlag Opladen.
\n
Kanerva, Jonni M. 1990. Focus and phrasing in Chichewa phonology. New York: Garland Publishing.
\n
Zerbian, Sabine. 2007. Investigating prosodic focus marking in Northern Sotho. In Katharina Hartmann, Enoch Aboh and Malte Zimmermann (eds): Focus Strategies in African Languages: The Interaction of Focus and Grammar in Niger-Congo and Afro-Asiatic, 55-79. Berlin: Mouton de Gruyter.
","frontmatter":{"title":"How do words get in order? the role of speaker-hearer interaction in languages of South Africa","lecturer":"Eva-Marie Bloom Ström","duration":"2 hours","date":"23 Mar, 2022","venue":"Gothenburg and Online","slides":null},"fields":{"slug":"/events/seminars/2022-03-23/"}}},"pageContext":{"slug":"/events/seminars/2022-03-23/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-03-30/page-data.json b/page-data/events/seminars/2022-03-30/page-data.json
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Abstract:
\n
Unnatural language semantics is the study of the meaning of words and expressions in languages that are very unlike natural languages. In this talk, I will present several case studies about how unnatural language semantics can inform us about the structure of natural languages. In particular, I will explain and present several case studies of two methods of explaining semantic universals (shared properties of meaning across the languages of the world): one arguing that such universals arise due to learnability, and another due to optimally trading-off the competing pressures of simplicity and informativeness. The talk will conclude with some discussion about the relative merits of the two explanations, other avenues where unnatural language semantics can be helpful, and some other projects in my lab.
","frontmatter":{"title":"Unnatural Language Semantics","lecturer":"Shane Steinert-Threlkeld from the University of Washington","duration":"2 hours","date":"30 Mar, 2022","venue":"Gothenburg and Online","slides":{"publicURL":"/static/951dfcd6d280ce7416e79e206c291358/clasp.pdf"}},"fields":{"slug":"/events/seminars/2022-03-30/"}}},"pageContext":{"slug":"/events/seminars/2022-03-30/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-04-06/page-data.json b/page-data/events/seminars/2022-04-06/page-data.json
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Abstract:\nThere has been an increased interest in developing general-purpose foundation models across different domains, such as language, vision, and multimodal. The appeal of this approach is pre-training models on large datasets once, and then adopting them to various tasks using a smaller supervised dataset. Moreover, these models achieve impressive results on a range of benchmarks, often performing better than task-specific models. In this talk, I will argue that we need better evaluation pipelines to better understand the shortcomings and strengths of pre-trained models. In particular, I will talk about: (1) the necessity of directly measuring real-world performance (as opposed to relying on benchmark performance), (2) the importance of strong baselines, and (3) how to design probing dataset to measure certain capabilities of our models. I will focus on commonsense reasoning and verb understanding as two challenging domains for our existing pretrained models.
","frontmatter":{"title":"On Evaluating Neural Representations","lecturer":"Aida Nematzadeh from Deep Mind","duration":"2 hours","date":"06 Apr, 2022","venue":"Gothenburg and Online","slides":{"publicURL":"/static/b666c9695d7f51a4ed7a2a7cfe4c18b7/Evaluating_Representations@CLASP_2022.pdf"}},"fields":{"slug":"/events/seminars/2022-04-06/"}}},"pageContext":{"slug":"/events/seminars/2022-04-06/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-04-20/page-data.json b/page-data/events/seminars/2022-04-20/page-data.json
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Abstract:
\n
“The recent success of Natural Language Processing is driven by advances in modelling paired with strong language model encoders. However, for many application scenarios like low-resource languages and specific application domains we do not have access to labeled resources and even unlabelled data might be scarce. In this talk, I will present some of our recent work on how to transfer models to low-resource languages and language variants with the use of incidental (or fortuitous) learning signals such as genre paired with data selection for cross-lingual dependency parsing. I will further discuss some insights from our recent study on segment embeddings in multilingual BERT models, and on-going work on information extraction for computational job market analysis.”
","frontmatter":{"title":"Dependency Parsing and Information Extraction in Low-Resource Scenarios","lecturer":"Barbara Plank from IT University of Copenhagen","duration":"2 hours","date":"20 Apr, 2022","venue":"Gothenburg and Online","slides":{"publicURL":"/static/279d2c52cce0e8654c50778c2b81433b/Barbara Plank 20.4.2022.pdf"}},"fields":{"slug":"/events/seminars/2022-04-20/"}}},"pageContext":{"slug":"/events/seminars/2022-04-20/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-05-04/page-data.json b/page-data/events/seminars/2022-05-04/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2022-05-04/","result":{"data":{"markdownRemark":{"html":"
Abstract:
\n
“One proposal for perceptually grounded representations of meaning is to identify perceptual meaning with perceptual classification. However, perceptual meaning need not be grounded directly in first-hand experience. If someone who doesn't know the meaning of raven is told that a raven is a large black corvid, they may get some idea of how to identify ravens, even if they have never seen one. In this scenario, an agent grounds the novel concept through linguistic communication with another agent. Successful grounding of the novel concept, in this case, requires (i) perceptual knowledge of related categories and (ii) an ability to connect a description of the unseen category with that knowledge. In this talk, we propose a novel machine learning task based on this scenario. We present preliminary language generation and understanding model architectures and measure their joint performance on zero-shot visual classification.”
","frontmatter":{"title":"Grounded Language Learning through Interaction","lecturer":"Bill Noble and Nikolai Ilinykh from University of Gothenburg","duration":"2 hours","date":"04 May, 2022","venue":"Gothenburg and Online","slides":{"publicURL":"/static/1d462e222a9b3f17333e160c6356e332/Bill Noble Nikolai Ilinykh 4.5.2022.pdf"}},"fields":{"slug":"/events/seminars/2022-05-04/"}}},"pageContext":{"slug":"/events/seminars/2022-05-04/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-05-11/page-data.json b/page-data/events/seminars/2022-05-11/page-data.json
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Abstract:
\n
Modeling thematic fit (a verb–argument compositional semantics task) currently requires a very large burden of labeled data, and yet the results are mediocre. How can we improve, given the limitations of the current text-based approach and evaluation datasets? Can we improve the (labeled) data? Can we learn from peeking into the model and the learned representation?
\n
To examine the labeled data direction, we modify the training dataset. The training dataset used by the previous state-of-the-art is a linguistically machine-annotated large corpus, which, due to its size, consists of outputs from mediocre but fast taggers. We replace these annotation layers with output from higher-quality, more modern taggers. We compare the old and new corpus versions’ impact on verb–argument fit modeling tasks, using a high-performing neural approach similar to the previous state-of-the-art. We discover that higher annotation quality dramatically reduces our data requirement while demonstrating better supervised predicate-argument classification.
\n
But in applying the model to psycholinguistic tasks (thematic fit) outside the training objective, we see clear gains at scale, but only in one of two thematic fit estimation tasks, and no clear gains on the other. We also see that quality improves with training size, but perhaps plateauing or even declining in one task. Baffling. No less baffling is that random word embeddings perform as well as pre-trained embeddings. Why? We explore what settings allow for this and examine where most of the learning is encoded: the word embeddings, the semantic role embeddings, or “the network” (model). We find nuanced answers, depending on the task and its relation to the training objective. We replicate previous studies while modifying certain role representation details, and set a new state-of-the-art in event modeling, using a fraction of the data. We also make the new corpus version public.
\n
And leave you baffled.
\n
Bio:
\n
Yuval Marton, PhD, is a computational linguist and artificial intelligence (AI) expert, active in both the industry (IBM, Microsoft, and most recently in the finance industry: Morgan Stanley and Bloomberg) and academia (affiliate professor at University of Washington; industry mentor at Columbia University, UCSC and UMass). Dr. Marton’s experience spans lexical semantics, paraphrasing, semantic role labeling, parsing, statistical machine translation, information retrieval (search engine result ranking, “big data”), and dialog systems (a.k.a. personal digital assistants or chatbots). He has been particularly interested in adapting machine learning (including deep learning) methods for natural language processing and understanding (NLP/NLU) – and using linguistically informed design to make such methods more effective and informative. More recently he has been interested also in technical mentoring for best practices in data science, and in increasing awareness to various forms of bias in NLP/AI, and how to develop and use these disruptive technologies ethically, given their substantial potential social impact for good or bad. Dr. Marton co-organized several NLP workshops, mostly in top-tier conferences such as ACL; served as the publication chair of several NLP conferences (EMNLP and *SEM); and delivered a tutorial session: “On-Demand Distributional Paraphrasing” at the NAACL-HLT conference. He received his Ph.D. in Linguistics from University of Maryland in 2009, concentrating on computational linguistics, with a Neuroscience and Cognitive Science (NACS) Program Certificate. He received his Masters in Computer Science from NYU/Poly in 2004.
","frontmatter":{"title":"Is more better? Is better always better? Where’s the learning?\nThe baffling case of computational thematic fit","lecturer":"Yuval Marton from University of Washington","duration":"2 hours","date":"11 May, 2022","venue":"Gothenburg and Online","slides":{"publicURL":"/static/15687f11fdb6e2fb403409fc218ee1b1/Yuval Marton 11.5.2022.pdf"}},"fields":{"slug":"/events/seminars/2022-05-11/"}}},"pageContext":{"slug":"/events/seminars/2022-05-11/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-05-18/page-data.json b/page-data/events/seminars/2022-05-18/page-data.json
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Abstract
\n
Speech signal analysis finds application in diverse settings, and biomedical speech signal analysis has been gaining increasing momentum in the last 15-20 years. In this talk, I will focus on signal processing algorithms to quantify these potentially useful characteristics, and draw on different examples from my research work. These include information fusion approaches to better estimate fundamental frequency in speech, capitalizing on novel approaches to extract clinically useful information from speech signals, and combining speech signal processing with machine learning techniques to develop robust, automated decision support tools assisting experts on their day-to-day praxis in the context of medical applications and forensic applications. I will highlight contemporary challenges and areas for further development including discussing our work on the Parkinson’s Voice Initiative where we collected more than 19,000 phonations from people across 7 countries.
Thanasis studied Engineering and completed a DPhil (PhD) in Applied Mathematics at the University of Oxford (2012). He worked at the University of Oxford as a Research Fellow in Biomedical Engineering and Applied Mathematics (2012-2016), Stipendiary Lecturer in Engineering Science (2014-2016), and Lecturer in Statistical Research Methods (2016-2019). He is currently an Associate Professor in Data Science at the Usher Institute, Edinburgh Medical School, University of Edinburgh. He is Co-founder of the NHS Digital Academy leadership programme, where he leads the development and delivery of 'Clinical Decision Support and Actionable Data Analytics'. He received the Andrew Goudie award (top PhD student across all disciplines, St. Cross College, University of Oxford, 2011), the EPSRC Doctoral Prize award (2012), the young scientist award (MAVEBA, 2013), the EPSRC Statistics and Machine Learning award (2015), the BIOSTEC/Biosignals best paper award (2021), and won a ‘Best reviewer’ award from the IEEE Journal of Biomedical Health Informatics (2015) and an ‘Outstanding Reviewer’ award from the journal Computers in Biology and Medicine. He sits on the Editorial Boards of JMIR Mental Health, JMIR mHealth and uHealth, and Frontiers in Neurology. He is a Senior Member of IEEE, a Fellow of the Higher Education Academy, and a Fellow of the Royal Society of Medicine.
\n
Indicative publications where I will draw material for the talk
\n
A. Tsanas, S. Arora: Data-driven subtyping of Parkinson’s using acoustic analysis of sustained vowels and cluster analysis: findings in the Parkinson’s voice initiative study, Springer Nature Computer Science (accepted), 2022
\n
S. Arora, A. Tsanas: Assessing Parkinson’s disease at scale using telephone-recorded speech: insights from the Parkinson’s voice initiative, Diagnostics, Vol. 11(1); e1892, 2021
\n
S. Arora, C. Lo, M. Hu, A. Tsanas: Smartphone speech testing for symptom assessment in rapid eye movement sleep behavior disorder and Parkinson’s disease, IEEE Access, Vol. 9, pp. 44813-44824, 2021
\n
A. Tsanas, M.A. Little, L.O. Ramig: Remote assessment of Parkinson’s disease symptom severity using the simulated cellular mobile telephone network, IEEE Access, Vol. 9, pp. 11024-11036, 2021
\n
S. Arora, L. Baghai-Ravary, A. Tsanas: Developing a large scale population screening tool for the assessment of Parkinson’s disease using telephone-quality speech, Journal of Acoustical Society of America, Vol. 145(5), 2871-2884, 2019
\n
A. Tsanas, M. Zañartu, M.A. Little, C. Fox, L.O. Ramig, G.D. Clifford: Robust fundamental frequency estimation in sustained vowels: detailed algorithmic comparisons and information fusion with adaptive Kalman filtering, Journal of the Acoustical Society of America, Vol. 135, pp. 2885-2901, 2014
\n
A. Tsanas, M.A. Little, C. Fox, L.O. Ramig: Objective automatic assessment of rehabilitative speech treatment in Parkinson’s disease, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 22, pp. 181-190, 2014
\n
A. Tsanas, M.A. Little, P.E. McSharry, J. Spielman, L.O. Ramig: Novel speech signal processing algorithms for high-accuracy classification of Parkinson’s disease, IEEE Transactions on Biomedical Engineering, Vol. 59, pp. 1264-1271, 2012
\n
A. Tsanas: Accurate telemonitoring of Parkinson’s disease symptom severity using nonlinear speech signal processing and statistical machine learning, Ph.D. thesis, Oxford Centre for Industrial and Applied Mathematics, University of Oxford, 2012
","frontmatter":{"title":"Biomedical speech signal processing: concepts, algorithms, and contemporary challenges","lecturer":"Athanasios Tsanas from University of Edinburgh","duration":"2 hours","date":"18 May, 2022","venue":"Gothenburg and Online","slides":{"publicURL":"/static/187c23c5d8c3c45e9e6e88ab21200541/Athanasios Tsanas 18.5.2022.pdf"}},"fields":{"slug":"/events/seminars/2022-05-18/"}}},"pageContext":{"slug":"/events/seminars/2022-05-18/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-06-01/page-data.json b/page-data/events/seminars/2022-06-01/page-data.json
new file mode 100644
index 0000000000..b96b779aea
--- /dev/null
+++ b/page-data/events/seminars/2022-06-01/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2022-06-01/","result":{"data":{"markdownRemark":{"html":"
Abstract
\n
Dogwhistles are coded signals used todisguise one's social persona from some listeners while revealing it to others,usually those who are sympathetic with it. This talk sketches a theory ofdogwhistles set in a game-theoretic context and considers two aspects ofdogwhistle interpretation and use: how searching for them can lead tohypervigilance and consequent disruptions in social cohesion, and in what kindsof circumstances speakers choose to abandon dogwhistling for direct signalingof their personas, arguing that both these phenomena are intertwined.
","frontmatter":{"title":"Dogwhistles: Masking, Vigilance, and Unmasking","lecturer":"Elin McCready from Aoyama Gakuin University","duration":"2 hours","date":"01 Jun, 2022","venue":"Gothenburg and Online","slides":{"publicURL":"/static/ad4f2030e6c5186b77db19909d3e6eef/Elin McCready 1.6.2022.pdf"}},"fields":{"slug":"/events/seminars/2022-06-01/"}}},"pageContext":{"slug":"/events/seminars/2022-06-01/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/events/seminars/2022-06-08/page-data.json b/page-data/events/seminars/2022-06-08/page-data.json
new file mode 100644
index 0000000000..6acb6b8d24
--- /dev/null
+++ b/page-data/events/seminars/2022-06-08/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2022-06-08/","result":{"data":{"markdownRemark":{"html":"
Abstract
\n
In this work we introduce a structured signaling game, an extension of the classical signaling game with a similarity structure between meanings in the context, along with a variant of the Rational Speech Act (RSA) framework which we call structured-RSA (sRSA) for pragmatic reasoning in structured domains. We explore the behavior of the sRSA in the domain of color and show that pragmatic agents using sRSA on top of semantic representations, derived from the World Color Survey, attain efficiency very close to the information theoretic limit after only 1 or 2 levels of recursion. We also explore the interaction between pragmatic reasoning and learning in multi-agent reinforcement learning framework. Our results illustrate that artificial agents using sRSA develop communication closer to the information theoretic frontier compared to agents using RSA and just reinforcement learning. We also find that the ambiguity of the semantic representation increases as the pragmatic agents are allowed to perform deeper reasoning about each other during learning.
","frontmatter":{"title":"Pragmatic Reasoning in Structured Signaling Games","lecturer":"Emil Carlsson and Devdatt Dubhashi from Chalmers University","duration":"2 hours","date":"08 Jun, 2022","venue":"Gothenburg and Online","slides":{"publicURL":"/static/138039b7b4014cfd8a97f13556b46fd7/Emil Carlsson Devdatt Dubhashi 8.6.2022.pdf"}},"fields":{"slug":"/events/seminars/2022-06-08/"}}},"pageContext":{"slug":"/events/seminars/2022-06-08/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/events/seminars/2022-06-15/page-data.json b/page-data/events/seminars/2022-06-15/page-data.json
new file mode 100644
index 0000000000..291ffb9bf8
--- /dev/null
+++ b/page-data/events/seminars/2022-06-15/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2022-06-15/","result":{"data":{"markdownRemark":{"html":"
Abstract
\n
The recent advancements in language modeling and conversational AI have been accompanied by the promise of a dramatic impact on the adoption of language technologies. Small and medium businesses are not immune to this hype, but often (1) lack the in-house expertise to develop user-centered design and (2) do not have enough (representative) data for training their machine learning modules, nor resources to collect it.
\n
The NLP community has cared about data “before it was cool”. However, in the broader and more variegated community of ML/AI practitioners, the most relevant aspects of data are size of training data and the popularity of benchmark datasets (“the Kaggle game\", Manning 2015). Users are also not typically part of the picture, and even less so are crowdworkers, whose humanity is hidden inside a metaphorical “mechanical Turk”. A scarce attention to data and users thus also has ethical consequences on how data is obtained and what data is used for.
\n
I will present some recent work in conversational AI which is largely motivated by the need for a more user- and data-centered perspective. I argue that this perspective is a missing link when transferring technologies outside academia and into industrial use cases.
","frontmatter":{"title":"Conversational AI between hype and hope – A case for data- and human-centric approaches","lecturer":"Alessandra Zarcone from University of Applied Sciences, Augsburg","duration":"2 hours","date":"15 Jun, 2022","venue":"Gothenburg and Online","slides":{"publicURL":"/static/0d5a2ca45c0a4692eb48e0ee0c97bc6b/Alessandra Zarcone 15.6.2022.pdf"}},"fields":{"slug":"/events/seminars/2022-06-15/"}}},"pageContext":{"slug":"/events/seminars/2022-06-15/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-10-21/page-data.json b/page-data/events/seminars/2022-10-21/page-data.json
new file mode 100644
index 0000000000..6fb26565d0
--- /dev/null
+++ b/page-data/events/seminars/2022-10-21/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2022-10-21/","result":{"data":{"markdownRemark":{"html":"
Abstract
\n
Following a PhD course on Argument Mining -- the process of automatically identifying and classifying arguments -- we present the essence of what we have learned. This seminar will provide an overview of the most common ways to approach this task, through annotation, finding claims, support and attack, and establishing the argument structure. No prior knowledge will be necessary to enjoy our talk.
","frontmatter":{"title":"A gentle introduction to argument mining","lecturer":"Anna Lindahl, Arianna Masciolini, Ricardo Muñoz Sánchez and Stian Rødven-Eide from University of Gothenburg","duration":"2 hours","date":"21 Oct, 2022","venue":"Gothenburg and Online","slides":null},"fields":{"slug":"/events/seminars/2022-10-21/"}}},"pageContext":{"slug":"/events/seminars/2022-10-21/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-10-28/page-data.json b/page-data/events/seminars/2022-10-28/page-data.json
new file mode 100644
index 0000000000..eb144c9a1e
--- /dev/null
+++ b/page-data/events/seminars/2022-10-28/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2022-10-28/","result":{"data":{"markdownRemark":{"html":"
Abstract
\n
Distributional, grounded, and formal computational theories of how language is acquired, represented, and used are, it turns out, quite useful in many ways. Many aspects of language can be learned from just looking at a lot of text in a certain way, as evidenced by language models. Vision and language can come together to add world knowledge through grounded learning. Formal logics are useful for many things including inference. Are we at the point where computational models really \"understand\" natural language, and, if not, is more data and bigger models all we need? In my talk, I make an appeal to what is known about how human children learn language and how the progression of language learning matters for holistic language understanding.
","frontmatter":{"title":"How Should Models of Language Meaning Learn?","lecturer":"Casey Kennington from Boise State University","duration":"2 hours","date":"28 Oct, 2022","venue":"Gothenburg and Online","slides":{"publicURL":"/static/4a3dcac66f8d8d5c70183e37ea51a24d/Casey Kennington 28.10.2022.pdf"}},"fields":{"slug":"/events/seminars/2022-10-28/"}}},"pageContext":{"slug":"/events/seminars/2022-10-28/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/events/seminars/2022-11-04/page-data.json b/page-data/events/seminars/2022-11-04/page-data.json
new file mode 100644
index 0000000000..ae62935ec5
--- /dev/null
+++ b/page-data/events/seminars/2022-11-04/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2022-11-04/","result":{"data":{"markdownRemark":{"html":"
Abstract
\n
Understanding longer narratives or participating in conversations requires tracking of entities that have been mentioned and tracking how their properties change over the course of a discourse. In my talk, I will present two studies which assess the ability of large-scale pre-trained language models such as GPT-2/3 or T5 to track discourse entities.
\n
I first consider the interactions between indefinite noun phrases and sentential operators and embedding verbs. For example, while 'a dog' in 'Arthur owns a dog' introduces an entity of a discourse, the sentence 'Arthur doesn't own a dog' does not due to the presence of negation. I adapt the psycholinguistic assessment of language models paradigm to higher-level linguistic phenomena and introduce an English evaluation suite that targets the knowledge of the interactions between sentential operators and indefinite NPs. I use this evaluation suite for a fine-grained investigation of the entity tracking abilities of the Transformer-based models GPT-2 and GPT-3.
\n
In the second part of my talk, I'll focus on the extent to which the Transformer-based model T5 tracks updates to different entities as a discourse unfolds. I'll present a series of behavioral experiments that probe whether the model can systematically parse an initial state description and then track changes made to entities in subsequent sentences.
\n
I'll conclude with a brief discussion of the implications for the learnability of meaning from large corpora, and ideas for how to improve entity tracking abilities in language models.
","frontmatter":{"title":"Entity tracking in pre-trained language models","lecturer":"Sebastian Schuster from Saarland University","duration":"2 hours","date":"04 Nov, 2022","venue":"Gothenburg and Online","slides":{"publicURL":"/static/539efaf9aea3905dfe2821728b9b7156/Sebastian Schuster 4.11.2022.pdf"}},"fields":{"slug":"/events/seminars/2022-11-04/"}}},"pageContext":{"slug":"/events/seminars/2022-11-04/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-11-18/page-data.json b/page-data/events/seminars/2022-11-18/page-data.json
new file mode 100644
index 0000000000..5306f3485b
--- /dev/null
+++ b/page-data/events/seminars/2022-11-18/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2022-11-18/","result":{"data":{"markdownRemark":{"html":"
Abstract
\n
Dependency-based approaches to syntactic analysis assume that syntactic structure can be analyzed in terms of binary asymmetric dependency relations holding between elementary syntactic units. Computational models for dependency parsing almost universally assume that an elementary syntactic unit is a word, while the influential theory of Lucien Tesnière instead posits a more abstract notion of nucleus, which may be realized as one or more words. In this article, we investigate the effect of enriching computational parsing models with a concept of nucleus inspired by Tesnière. We begin by reviewing how the concept of nucleus can be defined in the framework of Universal Dependencies, which has become the de facto standard for training and evaluating supervised dependency parsers, and explaining how composition functions can be used to make neural transition-based dependency parsers aware of the nuclei thus defined. We then perform an extensive experimental study, using data from 20 languages to assess the impact of nucleus composition across languages with different typological characteristics, and employing a variety of analytical tools including ablation, linear mixed-effects models, diagnostic classifiers and dimensionality reduction. The analysis reveals that nucleus composition gives small but consistent improvements in parsing accuracy for most languages, and that the improvement mainly concerns the analysis of main predicates, nominal dependents, clausal dependents and coordination structures. Significant factors explaining the rate of improvement across languages include entropy in coordination structures and frequency of certain function words, in particular determiners. Analysis using dimensionality reduction and diagnostic classifiers suggests that nucleus composition increases the similarity of vectors representing nuclei of the same syntactic type.
\n
Joint work with Ali Basirat, Luise Dürlich and Adam Moss.
","frontmatter":{"title":"Nucleus Composition in Transition-Based Dependency Parsing","lecturer":"Joakim Nivre from Uppsala University and RISE Research Institutes of Sweden","duration":"2 hours","date":"18 Nov, 2022","venue":"Gothenburg and Online","slides":{"publicURL":"/static/5b5e020da4828f4cff94be036332c68f/Joakim Nivre 18.11.2022.pdf"}},"fields":{"slug":"/events/seminars/2022-11-18/"}}},"pageContext":{"slug":"/events/seminars/2022-11-18/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-11-25/page-data.json b/page-data/events/seminars/2022-11-25/page-data.json
new file mode 100644
index 0000000000..5a1f886570
--- /dev/null
+++ b/page-data/events/seminars/2022-11-25/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2022-11-25/","result":{"data":{"markdownRemark":{"html":"
Abstract
\n
Fitch (2014) suggests that at the heart of syntactic cognition is 'dendrophilia': \"a propensity by our species to infer tree structures from sequential data\". This is an appealing idea but raises two issues. First, how precisely does this happen, and which tree structures should they infer, given the indeterminacy of the tree structures given the observed sequences? Secondly, trees are notoriously inadequate for syntax: a majority of syntactic theory is concerned with deviations from hierarchical structure --- described variously as movement, displacement, internal merge and so on.
\n
In this talk I will try to answer these questions using two ideas. First I use Roger's notion of multidimensional trees (Rogers, 2003) as syntactic structures, generalising the relation between a string considered as a 1-d structure and a tree considered as a 2-d structure to higher dimensions.\nSecondly I take a model for learning tree structures from sequential data with PCFGs, (Clark and Fijalkow, 2020) and show that it can be extended to learning 3d-trees from 2d-trees (Clark, 2021) and above if needed. By applying this model of dendrophilia twice we can then, in principle, learn these highly structured 3d trees from strings.
\n
I then relate this to discussions of \"well-nestedness\" in grammar formalisms, and the extent to which this can account for observed syntactic structures in natural language corpora.
","frontmatter":{"title":"Dendrophilia squared","lecturer":"Alexander Clark from University of Gothenburg","duration":"2 hours","date":"25 Nov, 2022","venue":"Gothenburg and Online","slides":{"publicURL":"/static/bf462e7a7d2e5249e8eea950c3245b1f/Alexander Clark 25.11.2022.pdf"}},"fields":{"slug":"/events/seminars/2022-11-25/"}}},"pageContext":{"slug":"/events/seminars/2022-11-25/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2022-12-02/page-data.json b/page-data/events/seminars/2022-12-02/page-data.json
new file mode 100644
index 0000000000..2c50f6255c
--- /dev/null
+++ b/page-data/events/seminars/2022-12-02/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2022-12-02/","result":{"data":{"markdownRemark":{"html":"
Abstract
\n
The impressive performance of neural language models such as GPT-3, PaLM and FLAN raises the question of to what extent these models have ‘learned’ language and how to reason with it. This talk will summarise recent work addressing this question along two lines of research: probing and explaining. Probing neural language models aims at finding evidence of learned linguistic structure by empirically testing hypotheses about the learned representations on diagnostic tasks. While this approach has generated interesting insights, we have shown that it comes with several methodological issues, including uncertainty about the suitability and validity of performance measures and the lack of suitable baselines [1–3]. Recent work has studied architectures augmented with the capability to generate free-text rationales that explain model output to investigate the reasoning capabilities of neural language models on tasks such as natural language inference and commonsense question answering. We have compared explanations by a generation-only model to those generated by a self-rationalizing model and found that, while the former score higher in terms of validity, factual correctness, and similarity to gold explanations, they are not more useful for downstream classification [4]. Our work raises important questions about the limitations of current methods for analysing neural language models and points to avenues for future work.
\n
[1] Jenny Kunz and Marco Kuhlmann. Classifier Probes May Just Learn from Linear Context Features. COLING 2020 [2] Jenny Kunz and Marco Kuhlmann. Test Harder Than You Train: Probing with Extrapolation Splits. BlackboxNLP 2021 [3] Jenny Kunz and Marco Kuhlmann. Where Does Linguistic Information Emerge in Neural Language Models? Measuring Gains and Contributions Across Layers. COLING 2022 [4] Jenny Kunz, Martin Jirénius, Oskar Holmström, and Marco Kuhlmann. Human Ratings Do Not Reflect Downstream Utility: A Study of Free-Text Explanations for Model Predictions. Accepted to BlackboxNLP 2022.
","frontmatter":{"title":"Probing and Explaining Neural Language Models","lecturer":"Marco Kuhlmann from University of Linköping","duration":"2 hours","date":"02 Dec, 2022","venue":"Gothenburg and Online","slides":{"publicURL":"/static/4967aae05633c2bffdc69383daade4be/Marco Kuhlmann 2.12.2022.pdf"}},"fields":{"slug":"/events/seminars/2022-12-02/"}}},"pageContext":{"slug":"/events/seminars/2022-12-02/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2023-01-20/page-data.json b/page-data/events/seminars/2023-01-20/page-data.json
new file mode 100644
index 0000000000..e58152a559
--- /dev/null
+++ b/page-data/events/seminars/2023-01-20/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2023-01-20/","result":{"data":{"markdownRemark":{"html":"
Abstract
\n
In a series of influential papers, Lassiter and Goodman have proposed to use a variant of the rational speech act model to account for semantic learning of linguistic parameters of lexical items. In this talk, I propose a reformulation of the Lassiter-Goodman model in information-theoretic terms. This reformulation sets the stage not only for a critique of the model, but shows that semantic learning can be given a direct epistemic account for linguistic disambiguation, doing away with RSA. I will conclude the talk with a comparison of the two models.
","frontmatter":{"title":"The Informative Speech Act: Linguistic Disambiguation on the basis of Epistemic Probability of Interpretations","lecturer":"Jean-Philippe Bernardy from University of Gothenburg","duration":"2 hours","date":"20 Jan, 2023","venue":"Gothenburg and Online","slides":{"publicURL":"/static/b1941af260665dd291849c8feae00e33/Jean-Philippe Bernardy 20.1.2023.pdf"}},"fields":{"slug":"/events/seminars/2023-01-20/"}}},"pageContext":{"slug":"/events/seminars/2023-01-20/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2023-01-27/page-data.json b/page-data/events/seminars/2023-01-27/page-data.json
new file mode 100644
index 0000000000..8a10d8b9e2
--- /dev/null
+++ b/page-data/events/seminars/2023-01-27/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2023-01-27/","result":{"data":{"markdownRemark":{"html":"
Abstract
\n
As cliché as it sounds, pretrained language models are now ubiquitous in Natural Language Processing, the most prominent ones being arguably Bert (Delvin et al, 2018). Many works have shown that Bert-based models are able to capture meaningful syntactic information using nothing else than raw data for training (eg. Jawahar et al, 2019) and this ability is probably one of the reasons of its success.
\n
Anyway, until November 2019 and the release of CamemBERT, most available models were trained on English data or on the concatenation of data in multiple languages. In this talk, I’ll present the results of a work that investigates the feasibility of training monolingual Transformer-based language models for other languages, taking French as an example and evaluating our language models on part-of-speech tagging, dependency parsing, named entity recognition and natural language inference tasks. We show that the use of web crawled data is preferable to the use of Wikipedia data. Our best performing model established the state of the art in all four downstream tasks. More surprisingly, we show that a relatively small web crawled dataset (a few gigabytes) leads to results that are as good as those obtained using two magnitudes larger datasets.
\n
Important questions still remain though: What to do in case of dialects with high variabilities in scarce resource scenarios? I’ll present a first round of results using a CharacterBERT model trained on very little data and evaluated on noisy French user-generated content and dialectal north-African Arabic written in Latin script (Arabizi), as commonly found in social media. Our experiments show that those models exhibit strong performance when facing noisy-content but so do “classical” Bert-based models trained on literally 100x more data. This questions the usefulness of those characterBert models in relatively resource-rich scenarios, even when facing very noisy text.
\n
Joint work with Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, Yoann Dupont, Laurent Romary, Éric Villemonte de la Clergerie, and Benoît Sagot for the CamemBert part. With Arij Riabi for the CharacterBert experiments and Ganesh Jawahar for the Bertology parts.
\n
Bio
\n
Djamé Seddah is a tenured associate professor (Maître de Conférence) in CS at the Sorbonne University, currently on a long-term teaching leave at Inria Paris. His interests cover all parts of NLP, mainly syntactic analysis, wide coverage parsing, syntax-semantic interface, etc. Those days he's involved into the processing of noisy user generated content through treebanking, machine translation and parsing, focusing on context-aware models. More and more involved into contextual neural language models for under-resourced languages.
","frontmatter":{"title":"CamemBERT must die! (jk,lol) or \"Beyond Sesame street-based naming schemes: Camembert vs CharacterBert, a study on the performance robustness of large monolingual language models and their character-based counterparts\".","lecturer":"Djamé Seddah from Université Paris-Sorbonne (Paris 4)","duration":"2 hours","date":"27 Jan, 2023","venue":"Gothenburg and Online","slides":{"publicURL":"/static/0a7c06562ab2d0ce6ba7eb67d3948911/Djamé Seddah 27.1.2023.pdf"}},"fields":{"slug":"/events/seminars/2023-01-27/"}}},"pageContext":{"slug":"/events/seminars/2023-01-27/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/events/seminars/2023-02-10/page-data.json b/page-data/events/seminars/2023-02-10/page-data.json
new file mode 100644
index 0000000000..9913b1b652
--- /dev/null
+++ b/page-data/events/seminars/2023-02-10/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2023-02-10/","result":{"data":{"markdownRemark":{"html":"
Abstract
\n
Many areas and theories in linguistics are concerned with regularities and conventions in language and interaction, essentially focussing on modeling language as a system. Yet, actual language data is often full of deviations from these regularities. When using language as a tool for interaction, speakers seem to have the ability to go beyond the conventions of the community they belong to and still be communicatively successful. In this talk, I will report on some recent attempts in linguistics (also in Bielefeld) to integrate creative aspects of language use with traditional approaches to language and to put linguistic creativity at the forefront of linguistic research. I will discuss how these ideas may relate to computational approaches in language and dialogue modeling and why they may constitute an interesting challenge for today's heavily data-driven frameworks. Last but not least, I will present recent and ongoing experiments on language generation and modeling that could be used to study linguistic creativity in computational settings.
","frontmatter":{"title":"Linguistic Creativity and Computational Modeling of Language","lecturer":"Sina Zarrieß from University of Bielefeld","duration":"2 hours","date":"10 Feb, 2023","venue":"Gothenburg and Online","slides":{"publicURL":"/static/eb6f67a244c5c994b84555b08708bc28/Sina Zarrieß 10.2.2023.pdf"}},"fields":{"slug":"/events/seminars/2023-02-10/"}}},"pageContext":{"slug":"/events/seminars/2023-02-10/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/events/seminars/2023-02-17/page-data.json b/page-data/events/seminars/2023-02-17/page-data.json
new file mode 100644
index 0000000000..763a530a5a
--- /dev/null
+++ b/page-data/events/seminars/2023-02-17/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2023-02-17/","result":{"data":{"markdownRemark":{"html":"
Abstract
\n
Large-scale language models like GPT-3 and BERT are considered stochastic parrots: they make reference to form but not to meaning. Yet, such models allow for high-performing fine-tuned models in NLP, begging the question of the how much linguistic information we can extract from them. In this talk, I discuss recent case studies in which we set out to quantify the syntactic capacity of BERT in the evaluation regime of non-context free patterns, as occurring in Dutch. We devised test suites based on a mildly context-sensitive formalism, from which we derive grammars that capture the linguistic phenomena of control verb nesting and verb raising, and other verb cluster formations. The grammars, paired with a small lexicon, provide us with a large collection of naturalistic utterances annotated with verb-subject pairings, that serve as the evaluation test bed for an attention-based span selection probe. Our results, backed by extensive analysis, suggest that the models investigated fail in the implicit acquisition of the dependencies examined. If time permits, we compare the two different strategies for generating test cases, and look into future extensions of this work.
","frontmatter":{"title":"Discontinuous Constituency and BERT: Case Studies of Dutch","lecturer":"G.J. (Gijs) Wijnholds from University of Utrecht","duration":"2 hours","date":"17 Feb, 2023","venue":"Gothenburg and Online","slides":{"publicURL":"/static/2ffc7157ffd1d5757415d6b1e63066ed/G.J. (Gijs) Wijnholds 17.2.2023.pdf"}},"fields":{"slug":"/events/seminars/2023-02-17/"}}},"pageContext":{"slug":"/events/seminars/2023-02-17/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/events/seminars/2023-03-17/page-data.json b/page-data/events/seminars/2023-03-17/page-data.json
new file mode 100644
index 0000000000..b31ee204dd
--- /dev/null
+++ b/page-data/events/seminars/2023-03-17/page-data.json
@@ -0,0 +1 @@
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Abstract\nIntensifiers (really, so, very) are a frequent phenomenon typical of informal speech. In sociolinguistic studies, they have been shown to be highly variable and undergo constant innovation. They are also a common occurrence in casual conversations online. In this talk, I present recent research targeting medium specific, register specific, and individual variation in the use of intensifiers in German as a case study. I use a large Twitter data set as well as a new corpus of blog posts and tweets from the same authors to investigate the role of semantic differences between intensifiers, as well as the medium, register, and individual author properties to model intensifier choice. I argue that intensifiers share a core meaning component, but differ mainly in 'expressivity', a non at issue contribution that (roughly) indicates the level of emotional involvement of the author. I use information theoretic measures (surprisal) to model this expressive component. Based on this model, I test the predictions of the Uniform Information Density hypothesis to explain the existence of 'stacks' of more than one intensifier in the same phrase as well as their order. Finally, I present results on the automatic detection of intensifiers in text using ML classifiers, opening up a potential avenue to study linguistic creativity with computational means.
","frontmatter":{"title":"Computational Linguistic Approaches to Digital Conversations: the Case of Intensifiers","lecturer":"Tatjana Scheffler from Ruhr-University Bochum","duration":"2 hours","date":"17 Mar, 2023","venue":"Gothenburg and Online","slides":{"publicURL":"/static/9a4ffaaaa668e90bfafe74311adfbb4e/Tatjana Scheffler 17.3.2023.pdf"}},"fields":{"slug":"/events/seminars/2023-03-17/"}}},"pageContext":{"slug":"/events/seminars/2023-03-17/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2023-03-21/page-data.json b/page-data/events/seminars/2023-03-21/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2023-03-21/","result":{"data":{"markdownRemark":{"html":"
Abstract\nArtificial intelligence techniques are available for large languages such as English, but they can help us dramatically accelerate our documention work even in languages with very few resources. In this talk we will focus on breaking the transcription bottleneck by discussing how speech recognition can facilitate the task of transcription. We will also look at techniques such as automated parsing and machine translation which can be helpful when compiling corpora. We will also look at the impact that technologies can have in language revitalization, and how even simple tools like predictive keyboards can help in this work. The talk will focus on examples from the languages Bribri from Costa Rica and Cook Islands Māori from Polynesia.
","frontmatter":{"title":"Artificial Intelligence to Accelerate Language Documentation","lecturer":"Rolando Coto Solano from Dartmouth College","duration":"2 hours","date":"21 Mar, 2023","venue":"Gothenburg and Online","slides":{"publicURL":"/static/f93decd9484a24ff9bc409b9a27c6f9b/Rolando Coto Solano 21.3.2023.pdf"}},"fields":{"slug":"/events/seminars/2023-03-21/"}}},"pageContext":{"slug":"/events/seminars/2023-03-21/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2023-03-23/page-data.json b/page-data/events/seminars/2023-03-23/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2023-03-23/","result":{"data":{"markdownRemark":{"html":"
Abstract\nHow do deep learning models behave when faced with truly low-resource languages? We will attempt to define what a \"low-resource\" language is, and we will look at examples of learning techniques such as cross-lingual approaches that do help in the learning of dramatically small datasets. By exploring speech recognition, parsing and machine translation, we will look at algorithms that work and algorithms that break under such conditions. We will also discuss the many differences in the nature of low-resource data, and how people go looking for data in the wrong places. Finally, we will discuss techniques such as attention vector analysis that can help us probe into what models can be learning in such data-limited scenarios. We will provide examples from the languages Bribri from Costa Rica and Cook Islands Māori from Polynesia.
","frontmatter":{"title":"Deep learning and severely under-resourced languages: How much can the model actually learn?","lecturer":"Rolando Coto Solano from Dartmouth College","duration":"2 hours","date":"23 Mar, 2023","venue":"Gothenburg and Online","slides":{"publicURL":"/static/b19f4eee32dcd496b2bb58a94d07f2b7/Rolando Coto Solano 23.3.2023.pdf"}},"fields":{"slug":"/events/seminars/2023-03-23/"}}},"pageContext":{"slug":"/events/seminars/2023-03-23/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2023-04-14/page-data.json b/page-data/events/seminars/2023-04-14/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2023-04-14/","result":{"data":{"markdownRemark":{"html":"
Abstract\nThe difficulty of pronoun translation is typically illustrated with examples of anaphoric pronouns requiring gender agreement in the target language. However, pronoun translation is more complex than that. In this talk, I present our efforts to understand and model the generation and interpretation of pronouns in translation. A core resource is the ParCorFull corpus, a multilingual parallel dataset with a rich annotation of coreferential phenomena going beyond simple anaphoric references. ParCorFull has found a range of applications to the cross-lingual study of texts, to machine translation evaluation, leading to insights into translation processes, but also uncovering challenges due to how corpus annotation resolves ambiguity, potentially creating conflicts in a parallel data. Additional insights can be gained from studies of pronoun generation and interpretation we've conducted with human participants, highlighting the variance of typical patterns across five European languages. I also present our work on modelling pronoun translation in the context of cross-lingual coreference resolution and neural machine translation with the help of cross-lingual mention attention, resulting in consistent, but rather modest performance gains. If time permits, I may also talk a bit about our more recent work on evidential deep learning for uncertainty estimation.
","frontmatter":{"title":"Understanding and Modelling Pronouns in Translation: Resources, Methods, Challenges and Insights","lecturer":"Christian Hardmeier from IT University of Copenhagen","duration":"2 hours","date":"14 Apr, 2023","venue":"Gothenburg and Online","slides":{"publicURL":"/static/527d058e013733b62cdad350cd2ef104/Christian Hardmeier 14.4.2023.pdf"}},"fields":{"slug":"/events/seminars/2023-04-14/"}}},"pageContext":{"slug":"/events/seminars/2023-04-14/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2023-05-05/page-data.json b/page-data/events/seminars/2023-05-05/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2023-05-05/","result":{"data":{"markdownRemark":{"html":"
Abstract\nFrom analysis of 16th-century text collections to machine translation for Creole languages: there are a lot of challenging application scenarios for NLP outside the “mainstream” English-language tasks. Yet many new NLP technologies are developed first and foremost for English, with “multilinguality” being achieved as a by-product of throwing more data at a model. Will this be the way forward? Are there still benefits in thinking about how we represent language for deep learning models, such as subword tokenization or incorporating linguistic structure?
\n
In this talk, I will probably have more questions than answers, but will provide some perspectives from my own work on these topics — from failed attempts at building machine translation models for indigenous American languages to investigations of morphology and subword tokenization — with the overarching themes of: How good are we already at NLP beyond English? Is there value in thinking more about linguistics when building NLP models?
","frontmatter":{"title":"NLP beyond English: Do we need to think more about linguistics?","lecturer":"Marcel Bollmann from Linköping University","duration":"2 hours","date":"05 May, 2023","venue":"Gothenburg and Online","slides":{"publicURL":"/static/e6b615d96a3fc1f5de410349a4a93c67/Marcel Bollmann 5.5.2023.pdf"}},"fields":{"slug":"/events/seminars/2023-05-05/"}}},"pageContext":{"slug":"/events/seminars/2023-05-05/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2023-05-12/page-data.json b/page-data/events/seminars/2023-05-12/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2023-05-12/","result":{"data":{"markdownRemark":{"html":"
Abstract\nHow can a fine-grained representation of word meaning be integrated with a formal representation of sentence meaning? More specifically, how can such a representation address uncertainty and gradience? There are a number of approaches that address this question, including McNally (2015). Emerson (2016,2018,2020), Bernardy et al (2018, 2019), Sadrzadeh and Muskens (2018). Erk and Herbelot (2023). In this talk, we build on our own recent approach, Situation Description Systems (Erk and Herbelot 2023). Situation Description Systems describe meaning as both intensional and conceptual; the conceptual representation is a probabilistic graphical model representing dependencies between the underlying concepts of words in the sentence. So far, the approach was only toy-size, and could not be applied at scale. In this talk, we present a scaled-up variant of Situation Description Systems that uses a sizable lexicon derived from the Visual Genome database of annotated images. Concepts are represented by embeddings computed from labels in the image annotations.
","frontmatter":{"title":"Scaling up a joint model of word meaning and sentence meaning: Situation Description Systems and the Visual Genome","lecturer":"Katrin Erk from University of Texas at Austin","duration":"2 hours","date":"12 May, 2023","venue":"Gothenburg and Online","slides":{"publicURL":"/static/4115d86bad66643a43e2d9bc84151aa5/Katrin Erk 12.5.2023.pdf"}},"fields":{"slug":"/events/seminars/2023-05-12/"}}},"pageContext":{"slug":"/events/seminars/2023-05-12/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2023-05-26/page-data.json b/page-data/events/seminars/2023-05-26/page-data.json
new file mode 100644
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@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2023-05-26/","result":{"data":{"markdownRemark":{"html":"
Abstract\nCurrent work on image-based story generation suffers from the fact that the existing image sequence collections do not have coherent plots behind them. We improve visual story generation by producing a new image-grounded dataset, Visual Writing Prompts (VWP). VWP contains almost 2K selected sequences of movie shots, each including 5-10 images. The image sequences are aligned with a total of 12K stories which were collected via crowdsourcing given the image sequences and a set of grounded characters from the corresponding image sequence. Our new image sequence collection and filtering process has allowed us to obtain stories that are more coherent and more diverse compared to previous work. We also propose a character-based story generation model driven by coherence as a strong baseline. Evaluations show that our generated stories are more coherent, visually grounded, and more diverse than stories generated with the current state-of-the-art model. Our code, image features, annotations and collected stories are available at https://vwprompt.github.io/.
","frontmatter":{"title":"Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences","lecturer":"Asad Sayeed from University of Gothenburg and Xudong Hong from Saarland University","duration":"2 hours","date":"26 May, 2023","venue":"Online","slides":null},"fields":{"slug":"/events/seminars/2023-05-26/"}}},"pageContext":{"slug":"/events/seminars/2023-05-26/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2023-06-02/page-data.json b/page-data/events/seminars/2023-06-02/page-data.json
new file mode 100644
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--- /dev/null
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2023-06-02/","result":{"data":{"markdownRemark":{"html":"
Abstract\nIn studying meaning in communication, a question arises as to which meanings are favored by interlocutors. While a range of candidate meanings may be possible and even plausible, how do speakers select which meanings to communicate and how do listeners make guesses as to the most probable meaning when trying to recover what a speaker intends or when anticipating what a speaker will say next?
\n
In this talk, I compare two hypotheses for ranking candidate meanings that a speaker might contribute to a discourse. Under one account, listeners' guesses simply reflect the probability that different meanings hold true: Speakers are taken to generate sentences that describe the world they see and listeners come to expect sentences about the typical situations speakers find themselves in. A second account combines this component with a component capturing the likelihood that a speaker, knowing some meaning to be true, would select that meaning as one worth conveying to a listener in an utterance. I present a series of psycholinguistic studies measuring listeners' awareness of speakers' production likelihoods. For example, although bananas are prototypically yellow, speakers rarely mention this yellowness in their utterances. In an eye-tracking study measuring anticipatory looking, listeners who hear a speaker use an ambiguous color adjective are found to anticipate subsequent mention of an object for which that color is less typical in the real world. Similarly, in a study on comprehenders' guesses of what a speaker will say next, participants are shown to disprefer upcoming material that describes situation-typical outcomes. Further studies target properties of the speaker and show that the more aware comprehenders are of the speaker as an intentional knowledgeable communicator, the more informative they expect the speaker's contribution to be and the more inferences they draw from the speaker's content selection. This work raises questions about the ways in which learners (humans, machines) acquire information about the world if their linguistic input favors the description of real-world-atypical content.
\n
The findings highlight the importance of establishing not only which meanings are possible and how they are derived, but also which meanings are probable as likely contributions to coherent discourse, despite -- or perhaps as a result of -- denoting non-typical situations.
","frontmatter":{"title":"Informativity in cooperative communication","lecturer":"Hannah Rohde from University of Edinburgh","duration":"2 hours","date":"02 Jun, 2023","venue":"Gothenburg and online","slides":{"publicURL":"/static/0fca3682c363a4f457d035473a745a45/Hannah Rohde 2.6.2023.pdf"}},"fields":{"slug":"/events/seminars/2023-06-02/"}}},"pageContext":{"slug":"/events/seminars/2023-06-02/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2023-09-06/page-data.json b/page-data/events/seminars/2023-09-06/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2023-09-06/","result":{"data":{"markdownRemark":{"html":"
Abstract\nIn this talk I will describe various recurrent architectures based around Parameterised Quantum Circuits (PQCs). A PQC is applied at each time step to produce a quantum state, and each application of the PQC is determined by an angle encoding of the corresponding word (via its classical word embedding). The quantum state can then be measured in order to produce a classical output. All the parameters of the hybrid model can be learned end-to-end using classical optimisers applied to some NLP task, in this case a standard sentiment analysis dataset. The models are trained and tested in simulation, with the potential to be run on real quantum hardware. Our experiments demonstrate encouraging performance compared to a classical RNN baseline.
\n
Bio: Prior to joining Quantinuum as Head of AI, Stephen Clark spent 18 years working at UK universities, first as a postdoctoral researcher at the University of Edinburgh, then as a member of Faculty at the Universities of Oxford and Cambridge, including 4 years as a Tutorial Fellow at Keble College, Oxford. He has also been an Honorary Professor at Queen Mary University of London. From 2016 to 2021 he was a Senior Research Scientist at DeepMind in London. Stephen Clark holds an undergraduate degree in Philosophy from the University of Cambridge (Gonville and Caius College) and a PhD in Computer Science and Artificial Intelligence from the University of Sussex. Much of his research has been concerned with the syntactic and semantic analysis of text, which he currently investigates in the context of quantum computing.
","frontmatter":{"title":"Hybrid Recurrent Architectures for Quantum-Classical NLP","lecturer":"Stephen Clark, Head of ArtificiaI Intelligence, Quantinuum","duration":"2 hours","date":"06 Sep, 2023","venue":"Gothenburg and online","slides":{"publicURL":"/static/6b776cd2b04d1e6cc07d7c24bc1369c2/Stephen Clark 6.9.2023.pdf"}},"fields":{"slug":"/events/seminars/2023-09-06/"}}},"pageContext":{"slug":"/events/seminars/2023-09-06/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2023-09-27/page-data.json b/page-data/events/seminars/2023-09-27/page-data.json
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index 0000000000..e172eb07d1
--- /dev/null
+++ b/page-data/events/seminars/2023-09-27/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2023-09-27/","result":{"data":{"markdownRemark":{"html":"
Abstract\nRecently, there has been a large interest in large language models (LLMs) such as GPT and their ability to engage in human-like dialogue and use commonsense reasoning. We experimentally investigate a specific aspect of these abilities, namely counterfactual explanations. The capacity to reason counterfactually and provide relevant explanations is particularly important when using AI to assist high-stake decisions and assessments such as credit approval or medical diagnostics. For example, if a loan applicant is denied credit, a counterfactual explanation conveys the conditions under which the credit would have been granted. By injecting a decision-making algorithm into the model's prompt and systematically probing and annotating responses for carefully chosen inputs, we study potential patterns in GPT's selection of counterfactual examples. Preliminary results indicate that when GPT 3.5 provides counterfactual explanations, it does not consider causal relations between variables in a way that one would expect from a model with strong commonsense reasoning capabilities. We discuss potential implications of these results for real-world applications and future research.
","frontmatter":{"title":"Counterfactual reasoning capabilities of GPT: Preliminary findings","lecturer":"Alexander Berman from University of Gothenburg","duration":"2 hours","date":"27 Sep, 2023","venue":"Gothenburg and online","slides":{"publicURL":"/static/9f0ccce5084030e82d670dcd39664216/Alexander Berman 27.9.2023.pdf"}},"fields":{"slug":"/events/seminars/2023-09-27/"}}},"pageContext":{"slug":"/events/seminars/2023-09-27/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/seminars/2023-10-11/page-data.json b/page-data/events/seminars/2023-10-11/page-data.json
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+{"componentChunkName":"component---src-templates-seminar-template-js","path":"/events/seminars/2023-10-11/","result":{"data":{"markdownRemark":{"html":"
Abstract:\nExplaining why a modern AI model makes the predictions it does has emerged as one of the most important questions in AI. In this era of ever-widening impact, the field has rightly turned its attention to questions of trust, safety, reliability, and bias mitigation for the models we deploy, and seriously addressing these questions will require us to understand whether and how these models represent and use human-interpretable concepts. In this talk, I'll report on our recent efforts to achieve these explanations using a family of techniques called causal abstraction. In causal abstraction analysis, one assesses the extent to which an interpretable high-level model (say, a computer program) is a faithful proxy for a lower-level model (say, a neural network). Such analyses have already revealed a great deal about how models solve complex tasks. In particular, we are seeing that the best present-day large language models often induce interpretable, quasi-symbolic solutions that enable them to do well on hard, out-of-domain generalization tasks. This is encouraging, but it should be said that we are far from having the comprehensive understanding we need to offer even tightly circumscribed guarantees of safety and trust.
","frontmatter":{"title":"Causal abstraction for faithful, human-interpretable model explanations","lecturer":"Christopher Potts from Stanford University","duration":"2 hours","date":"11 Oct, 2023","venue":"Online","slides":{"publicURL":"/static/464c4763f0ec710c8b7ccb1d36e3a7f0/Christopher Potts 11.10.2023.pdf"}},"fields":{"slug":"/events/seminars/2023-10-11/"}}},"pageContext":{"slug":"/events/seminars/2023-10-11/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/events/workshops/workshops/page-data.json b/page-data/events/workshops/workshops/page-data.json
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--- /dev/null
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+{"componentChunkName":"component---src-templates-workshop-template-js","path":"/events/workshops/workshops/","result":{"data":{"markdownRemark":{"html":"
The study of dialogue investigates how natural language is used in interaction between interlocutors and how coordination and successful communication is achieved. Dialogue is multimodal, situated and embodied, with non-linguistic factors such as attention, eye gaze and gesture critical to understanding communication. However, studies on dialogue and computational models such as dialogue systems have often taken for granted that we align our perceptual representations, which are taken to be part of common ground (grounding in dialogue, Clark, 1996). They have also typically remained silent about how we integrate information from different sources and modalities and the different contribution of each of these. These assumptions are unsustainable when we consider interactions between agents with obviously different perceptual capabilities, as in the case in dialogues between humans and artificial agents, such as avatars or robots.
\n
Contrarily, studies of perception have focussed on how an agent interacts with and interprets the information from their perceptual environment. There is significant research on how language is grounded in perception, how words are connected to perceptual representations and agent's actions and therefore assigned meaning (grounding in action and perception, Harnad, 1990). In the last decade there has been impressive progress on integrated computational approaches to language, action, and perception, especially with the introduction of deep learning methods in the field of image descriptions that use end-to-end training from data. However, these have a limited integration to the dynamics of dialogue and often fail to take into account the incremental and context sensitive nature of language and the environment.
\n
The aim of this workshop is to initiate a genuine dialogue between these related areas and to examine different approaches from computational, linguistic and psychological perspectives and how these can inform each other. It will feature invited talks by leading researchers in these areas, and high level contributed papers, presented as posters, selected through open competition and rigorous review.
","frontmatter":{"title":"Workshop on Dialogue and Perception 2018","cordinators":"The Tenth Scandinavian Logic Symposium","duration":"2 days","date":"2018-06-14T00:00:00.000Z","venue":" Wallenberg Conference Centre, University of Gothenburg"},"fields":{"slug":"/events/workshops/workshops/"}}},"pageContext":{"slug":"/events/workshops/workshops/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/index/page-data.json b/page-data/index/page-data.json
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+++ b/page-data/index/page-data.json
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+{"componentChunkName":"component---src-pages-index-js","path":"/","result":{"data":{"directors":{"people":[{"person":{"fields":{"slug":"/people/robin-cooper/"},"frontmatter":{"title":"Acting Head","name":"Robin Cooper","profileImage":{"publicURL":"/static/9398221bde5289b29c557941bdd97bb9/Robin-Cooper3JPGcropped.JPG"}},"excerpt":"Robin Cooper is a Senior Professor at CLASP and Professor emeritus of Computational Linguistics.\n Webpage at University of Gothenburg…"}},{"person":{"fields":{"slug":"/people/shalom-lappin/contact/"},"frontmatter":{"title":"Professor","name":"Shalom Lappin","profileImage":{"publicURL":"/static/9b4bba473639fff2a4121009cb4e9857/shalomlappin.jpg"}},"excerpt":"Shalom Lappin Professor of Computational Linguistics University of Gothenburg shalom.lappin@gu.se Professor of Natural Language Processing…"}},{"person":{"fields":{"slug":"/people/shalom-lappin/"},"frontmatter":{"title":"Chief Scientist","name":"Shalom Lappin","profileImage":{"publicURL":"/static/9b4bba473639fff2a4121009cb4e9857/shalomlappin.jpg"}},"excerpt":"Shalom Lappin's research is in computational linguistics with a focus on the application of probabilistic models to issues in syntax…"}},{"person":{"fields":{"slug":"/people/shalom-lappin/projects/"},"frontmatter":{"title":"Professor","name":"Shalom Lappin","profileImage":{"publicURL":"/static/9b4bba473639fff2a4121009cb4e9857/shalomlappin.jpg"}},"excerpt":"Research Projects The Probabilistic Representation of Linguistic Knowledge ESRC Professorial Fellowship Research Project October 1, 201…"}},{"person":{"fields":{"slug":"/people/shalom-lappin/publications/"},"frontmatter":{"title":"Professor","name":"Shalom Lappin","profileImage":{"publicURL":"/static/9b4bba473639fff2a4121009cb4e9857/shalomlappin.jpg"}},"excerpt":"Publications BOOKS Shalom Lappin (2021), Deep Learning and Linguistic Representation, CRC Press, Taylor and Francis, Oxford. Alexander Clark…"}},{"person":{"fields":{"slug":"/people/shalom-lappin/papers/"},"frontmatter":{"title":"Professor","name":"Shalom Lappin","profileImage":{"publicURL":"/static/9b4bba473639fff2a4121009cb4e9857/shalomlappin.jpg"}},"excerpt":"Recent Papers Shalom Lappin (to appear), Assessing the Strengths and Weaknesses of Large Language \nModels, Jourrnal of Logic, Language and…"}}],"totalCount":6},"associate_directors":{"people":[{"person":{"fields":{"slug":"/people/sharid-loáiciga/"},"frontmatter":{"title":"Coordinating Director","name":"Sharid Loáiciga","profileImage":{"publicURL":"/static/63a477b40b6d0b5e2e6d65fb0bbeac32/Sharid.jpg"}},"excerpt":"I'm an Associate Senior Lecturer in Computational Linguistics and the Coordinating Director of CLASP. I work in document-level NLP with a…"}}],"totalCount":1},"administrators":{"people":[{"person":{"fields":{"slug":"/people/susanna-myyry/"},"frontmatter":{"title":"Administrator","name":"Susanna Myyry","profileImage":{"publicURL":"/static/f46d4899b81efce7d1320544f49d7ebd/susanna-myyry.jpg"}},"excerpt":"I am the administrator of CLASP - a project within the Department of Philosophy, Linguistics and Theory of Science (FLoV). My tasks involve…"}}],"totalCount":1},"latest_news":{"news":[{"news_entry":{"fields":{"slug":"/news/Seminar by Claire Gardent/"},"frontmatter":{"presented_by":"Claire Gardent from LORIA, CNRS and Université de Lorraine","title":"Simplifying Documents","type":"seminar","date":"October 25, 2023","expired":false,"bannerImage":null},"excerpt":"Abstract:\nTo date, most work on simplification has focused on sentences. Early attempts at document simplification merely applied these…"}},{"news_entry":{"fields":{"slug":"/news/Seminar by Nina Tahmasebi and the Change is Key! team/"},"frontmatter":{"presented_by":"Nina Tahmasebi and the Change is Key! team from University of Gothenburg","title":"Ongoing research in the Change is Key! program","type":"seminar","date":"November 01, 2023","expired":false,"bannerImage":null},"excerpt":"Nina Tahmasebi and the Change is Key! team will introduce the Change is Key! program and some of our ongoing research. We will present the…"}},{"news_entry":{"fields":{"slug":"/news/Seminar by Noortje J. Venhuizen/"},"frontmatter":{"presented_by":"Noortje J. Venhuizen from Tilburg University","title":"","type":"seminar","date":"November 08, 2023","expired":false,"bannerImage":null},"excerpt":"Abstract: Location: Attend a virtual seminar in person at C252 or via Zoom, https://gu-se.zoom.us/j/66299274809?pwd=Yjc2ejc…"}},{"news_entry":{"fields":{"slug":"/news/Seminar by Staffan Larsson/"},"frontmatter":{"presented_by":"Staffan Larsson from University of Gothenburg","title":"TTR at the SPA: Relating type-theoretical semantics to neural semantic pointers","type":"seminar","date":"November 15, 2023","expired":false,"bannerImage":null},"excerpt":"Abstract:\nThe goal of the work presented here is to provide a hybrid of formal and neural semantics for natural language. To this end, we…"}},{"news_entry":{"fields":{"slug":"/news/Seminar by Alex Warstadt/"},"frontmatter":{"presented_by":"Alex Warstadt from ETH Zürich","title":"","type":"seminar","date":"November 21, 2023","expired":false,"bannerImage":null},"excerpt":"Abstract: Location: Attend in person at room C250 or via Zoom, https://gu-se.zoom.us/j/66299274809?pwd=Yjc2ejc2VVhraXVJMmhWeWtOQ2NuUT0…"}}],"totalCount":7}},"pageContext":{}},"staticQueryHashes":["3875542623"]}
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diff --git "a/page-data/news/Chat bots know when you\342\200\231re going to laugh/page-data.json" "b/page-data/news/Chat bots know when you\342\200\231re going to laugh/page-data.json"
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Soon, chat bots will be able to laugh at your jokes. They also know when you’re going to laugh – even before you are aware of this. This has been shown in a new thesis that investigated the gaze patterns linked to laughter.
\n
‘Dialogue system’ refers to technologies such as chat bots or conversation agents that people can talk to. These systems use large amounts of data, machine learning and natural language processing to be able to imitate human interactions, and recognise speech and text inputs.
\n
Things like rhetorical questions have long been a challenge in the field of computational linguistics when working with dialogue systems. Now a research group at the University of Gothenburg has discovered that laughter can be a key for dialogue systems to better understand intentions.
\n
“Our studies have laid the foundation for integrating laughter into spoken dialogue systems,” says Vladislav Maraev.
\n
He has just defended his thesis Who is laughing now? Laughter-infused dialogue systems and is part of the research group at CLASP, Centre for Linguistic Theory and Studies in Probability, at the University of Gothenburg.
\n
“The thesis shows that neural networks are effective in predicting laughter from dialogue transcripts. In addition, we gave the same task to people, and it turned out that neural networks were much better at it than untrained people. This suggests that people don’t know why they laugh at particular junctures – even though their laughter follows consistent patterns.
\n
Related to gaze patterns\nFor a dialogue system involving an avatar or an embodied conversation agent for example, it is important to learn how laughter is linked to other behaviours to be able to put system laughter in appropriate places with the aid of AI. The researchers therefore examined how laughter relates to gaze patterns when people interact with each other.
\n
“We showed that the function of laughter is related to different gaze patterns, in particular that gaze can signal the onset and end of laughter. Another finding is that different types of laughter are accompanied by different gaze patterns in the person laughing as well as the person with whom they are interacting.
\n
These findings suggest that future conversation agents should not handle all laughter in the same way.
\n
“They should be sensitive to precise coordination between laughter and gaze, which is entirely dependent on the type of laughter involved ,\" says Vladislav Maraev.
\n
The thesis also studies how laughter affects the interpretation of a user's communicative intentions. An example is rhetorical questions, which on the surface look like a question but where the intention is not to ask a question at all, and therefore no response is needed.
\n
For computational linguistics applications (computer programs used to analyse, understand and generate natural language) it has long been a challenge to understand figurative meanings.
\n
“We discovered that it is useful to use laughter for this purpose. It was fascinating to see that laughter helps to clarify meaning when the system is required to understand the user’s intention. This was true of both literal and figurative interpretations of utterances. We showed that laughter alone can reveal the communicative intention,” says Vladislav Maraev.
\n
Humour as an interactive phenomenon\nBy drawing parallels between laughter and what is called ‘grounding’ in communication contexts – that is, signals that show that everyone in a conversation is on board with it, for example, by uttering an ‘mhm’ – the researchers looked at laughter that was used to respond in the negative to questions. This gave them an insight into the possibility of including knowledge of laughter in machine learning.
\n
“This contribution to the research is an example of how laughter can be used in dialogue systems and shows the potential for expanding the research to other types of laughter, such as when it used as positive feedback on a joke.
\n
Another goal of the studies in the thesis was to bridge the gap between laughter and humour. Although humour is not a prerequisite for laughter, it is closely connected, and Vladislav Maraev stresses the importance of analysing humour as an interactive phenomenon and how it is linked to laughter.
\n
“We proposed a theory that we believe is the first to take an interactive approach to humour. We investigated how humour is related to reasoning about social conventions and other learned and implied assumptions and explained our theory on the basis of foundations that are external to existing theories of humour and used in discussions of other linguistic and interactive phenomena.
\n
The thesis Who is laughing now? Laughter-infused dialogue systems was publicly defended on 29 August at the Faculty of Humanities, University of Gothenburg.
Vladislav Maraev, phone: +46(0)31-786 2936, e mail: vladislav.maraev@gu.se
","frontmatter":{"type":null,"presented_by":"Vladislav Maraev","title":"Chat bots know when you’re going to laugh","date":"September 21, 2022","bannerImage":null},"fields":{"slug":"/news/Chat bots know when you’re going to laugh/"}}},"pageContext":{"slug":"/news/Chat bots know when you’re going to laugh/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Learning with Small Data (LSD)/page-data.json b/page-data/news/Learning with Small Data (LSD)/page-data.json
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Learning with Small Data is a conference organized by the Centre for Linguistic Theory and Studies in Probability (CLASP), https://www.gu.se/en/clasp at the Department of Philosophy, Linguistics and Theory of Science (FLoV). The conference will be held between September 11 to September 12.
\n
There is now an acute need for intensive research on the possibility of effective learning with small data. Our 2023 conference, LSD, is devoted to work on this problem, with application to computational linguistics.
\n
Why is there this need? Current deep learning systems require large amounts of data in order to yield optimal results. Neural language models are now trained on many billions of parameters, with data sets that are terabytes in size. Despite this, they have achieved remarkable success across a wide range of tasks in Natural Language Processing, and in AI generally. But these systems have a number of limitations which require closer attention:
\n
First, the models take a long time to pretrain, and they are difficult to modify. As a result, much research in NLP is shaped by what one can achieve with large transformers. This has marginalised important computational learning questions for which they are not well suited.
\n
Second, because of the heavy resources required to develop them, they have become the preserve of tech companies. Researchers at most universities and smaller centres are now positioned as consumers of these systems, limited to fine tuning them for experimental work on downstream tasks.
\n
Third, the complexity, size, and mode of computation of transformers has rendered the way in which they acquire the generalisations extracted from data largely opaque. This has made it difficult to understand precisely why they succeed, or fail, where they do.
\n
Finally, comparison with human learning and representation has become increasingly difficult, given the large disparity in accessible data and learning time between transformers and humans. Therefore, the cognitive interest of deep learning has receded.
\n
These reasons alone are sufficient to motivate us at CLASP to bring fellow researchers together for an organized discussion. We welcome original contributions in all areas of NLP and related domains of AI that address aspects of this issue.
","frontmatter":{"type":"conference","presented_by":null,"title":"Learning with Small Data (LSD) Conference","date":"September 11, 2023","bannerImage":{"publicURL":"/static/43d4c61bf34e3191c3e19e7d37b8b8df/psychedelic-pattern-02 .jpg"}},"fields":{"slug":"/news/Learning with Small Data (LSD)/"}}},"pageContext":{"slug":"/news/Learning with Small Data (LSD)/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Public defence of Adam Ek's doctoral thesis/page-data.json b/page-data/news/Public defence of Adam Ek's doctoral thesis/page-data.json
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Cordially welcome to the public defence of Adam Ek's doctoral thesis on Friday 8 September, at 10:15 in room J222, Faculty of Humanities. The title is \"Studies in Language Structure using Deep Learning\".
\n
Doctoral candidate: Adam Ek, University of Gothenburg
\n
Supervisor: Jean-Phillipe Bernardy, University of Gothenburg\nAssistant supervisor: Stergios Chatzikiriakidis, University of Gothenburg
\n
Opponent: Assistant Professor Lasha Abzianidze, Utrecht University
\n
Committee:\nProfessor, Stephen Clark, Head of ArtificiaI Intelligence, Quantinuum\nDocent Sara Stymne, Uppsala universitet\nAssociate Professor Johannes Bjerva, Aalborg universitet
\n
Chair: Associate Professor Asad Basheer Sayeed, Göteborgs universitet
\n
Date: 2023-09-08
\n
Title: Studies in Language Structure using Deep Learning
\n
Abstract: This thesis deals with the discovery, prediction, and utilization of structural patterns in language using deep learning techniques. The thesis is divided into two sections. The first section gives an introduction to the tools used and the structures in language we are interested in. The second part presents six papers addressing the research questions. The first three papers deals with discovering and predicting patterns. In the first paper, we explore methods of composing word embeddings to predict morphological features. The second paper explores the possibility of using vector norms to approximate syntactic complexity. The third paper deals with predicting the depths of nested structures. The remaining three papers deal with using structures in language to make semantic predictions. The fourth paper explores using dependency trees to predict semantic predicate-argument structures using a rule-based system. The fifth paper explores modeling linguistic acceptability using syntactic and semantic labels. The sixth paper deals with exploring how punctuation affects natural language inference.
\n
Full text:
","frontmatter":{"type":"defence","presented_by":"Adam Ek","title":"Studies in Language Structure using Deep Learning","date":"September 08, 2023","bannerImage":{"publicURL":"/static/fac457c02b9b1d6fd06463ec4c9b94a2/Adam Ek.jpg"}},"fields":{"slug":"/news/Public defence of Adam Ek's doctoral thesis/"}}},"pageContext":{"slug":"/news/Public defence of Adam Ek's doctoral thesis/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Public defence of Bill Noble's doctoral thesis/page-data.json b/page-data/news/Public defence of Bill Noble's doctoral thesis/page-data.json
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Cordially welcome to the public defence of William Noble's doctoral thesis on Thursday 20 April, at 13:15 in room J222, Renströmsgatan 6, Faculty of Humanities, or via Zoom: https://gu-se.zoom.us/j/61309889826. The title is \"Semantic change in interaction: Studies on the dynamics of lexical meaning\".
\n
Doctoral candidate: William Noble, University of Gothenburg
\n
Supervisor: Staffan Larsson, University of Gothenburg\nAssistant supervisor: Asad Sayeed, University of Gothenburg
\n
Opponent: Associate professor Casey Kennington, Boise State University
\n
Committee:\nProfessor Hana Filip, Heinrich Heine Universität, Düsseldorf\nAssociate Professor, Jakub Szymanik, University of Trento\nDocent Dana Dannells, Göteborgs universitet
\n
Chair: Professor Eleni Gregoromichelaki, Göteborgs universitet
\n
Date: 2023-04-20
\n
Title: Semantic change in interaction: Studies on the dynamics of lexical meaning
\n
Abstract: This compilation thesis investigates how word meanings change. In\nparticular, it's concerned semantic change at the levels of\ninteraction and the speech community. To this end, the compiled\nstudies employ methods from both formal and computational semantics.
\n
The first study presents a model for, and companion annotation study of,\nword meaning negotiation, a conversational routine in which the\nmeaning of a word becomes an explicit topic of conversation. The next\ntwo studies introduce and apply classification systems, a model of\ncommunal conceptual resources for ordering and talking about a\nparticular domain. We use a formalization thereof to model how\ngenus-differentia definitions can be used in interaction to update\nlexical knowledge of perceptual categories. The next study considers a\nrelated phenomenon, perceptual category description, but this time\nfrom a computational perspective. By modeling a short interaction\nbetween two neural networks, we investigate how different ways of\nrepresenting perceptual categories affect linguistic grounding.\nFollowing that, we turn to the dynamics of social meaning, particularly\nthe meaning of implicit conversational assumptions called topoi, with\na focus on situations of involving uncertainty about the speaker's\nsocial identity. The final two studies of the thesis shift the focus\nfrom particular interactions to the level of the community. First, we\ninvestigate linguistic variation using community conditioned language\nmodels to learn vector representations for a collection of online\ncommunities. These language-based representations are found to correlate\nwith community representations based on community membership alone.\nFinally, we use diachronic distributional word vectors to study\nshort-term semantic shift in online communities. We find that semantic\nchange has a significant yet nuanced relationship with the social\nstructure of the community.\nAltogether, the compilation offers two main insights. First, semantic plasticity is directly related to the complexity of the lexical semantic system. Words exhibit both perceptual and inferential meaning potential, each of which play a role in conveying and learning new words. Monolithic representations of word meaning belie a structured flexibility that guides how words can be used, while providing opportunities for innovation. It is this flexibility that is often the site of new conventionalized meanings. Second, semantic change is rooted in the interactive practices of the community. Communities sustain the communicative norms that govern how linguistic interaction takes place. These norms provide a framework for negotiating meaning. They also comprise the social and semiotic context that supports semantic innovation and change.
","frontmatter":{"type":null,"presented_by":"William Noble","title":"Public defence of William Noble's doctoral thesis","date":"April 20, 2023","bannerImage":{"publicURL":"/static/bf763bb001a6dbeced71064bc4c444d4/Bill.jpg"}},"fields":{"slug":"/news/Public defence of Bill Noble's doctoral thesis/"}}},"pageContext":{"slug":"/news/Public defence of Bill Noble's doctoral thesis/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Alessandra Zarcone/page-data.json b/page-data/news/Seminar by Alessandra Zarcone/page-data.json
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Abstract:
\n
The recent advancements in language modeling and conversational AI have been accompanied by the promise of a dramatic impact on the adoption of language technologies. Small and medium businesses are not immune to this hype, but often (1) lack the in-house expertise to develop user-centered design and (2) do not have enough (representative) data for training their machine learning modules, nor resources to collect it.
\n
The NLP community has cared about data “before it was cool”. However, in the broader and more variegated community of ML/AI practitioners, the most relevant aspects of data are size of training data and the popularity of benchmark datasets (“the Kaggle game\", Manning 2015). Users are also not typically part of the picture, and even less so are crowdworkers, whose humanity is hidden inside a metaphorical “mechanical Turk”. A scarce attention to data and users thus also has ethical consequences on how data is obtained and what data is used for.
\n
I will present some recent work in conversational AI which is largely motivated by the need for a more user- and data-centered perspective. I argue that this perspective is a missing link when transferring technologies outside academia and into industrial use cases.
","frontmatter":{"type":"seminar","presented_by":"Alessandra Zarcone from University of Applied Sciences, Augsburg","title":"Conversational AI between hype and hope – A case for data- and human-centric approaches","date":"June 15, 2022","bannerImage":null},"fields":{"slug":"/news/Seminar by Alessandra Zarcone/"}}},"pageContext":{"slug":"/news/Seminar by Alessandra Zarcone/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Alessandro Lenci/page-data.json b/page-data/news/Seminar by Alessandro Lenci/page-data.json
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+{"componentChunkName":"component---src-templates-news-template-js","path":"/news/Seminar by Alessandro Lenci/","result":{"data":{"markdownRemark":{"html":"
","frontmatter":{"type":"seminar","presented_by":"Alessandro Lenci from Università di Pisa","title":"","date":"December 13, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Alessandro Lenci/"}}},"pageContext":{"slug":"/news/Seminar by Alessandro Lenci/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Alex Warstadt/page-data.json b/page-data/news/Seminar by Alex Warstadt/page-data.json
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index 0000000000..90e9515412
--- /dev/null
+++ b/page-data/news/Seminar by Alex Warstadt/page-data.json
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+{"componentChunkName":"component---src-templates-news-template-js","path":"/news/Seminar by Alex Warstadt/","result":{"data":{"markdownRemark":{"html":"
","frontmatter":{"type":"seminar","presented_by":"Alex Warstadt from ETH Zürich","title":"","date":"November 21, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Alex Warstadt/"}}},"pageContext":{"slug":"/news/Seminar by Alex Warstadt/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Alexander Berman/page-data.json b/page-data/news/Seminar by Alexander Berman/page-data.json
new file mode 100644
index 0000000000..1ef20e08f6
--- /dev/null
+++ b/page-data/news/Seminar by Alexander Berman/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-news-template-js","path":"/news/Seminar by Alexander Berman/","result":{"data":{"markdownRemark":{"html":"
Abstract: Recently, there has been a large interest in large language models (LLMs) such as GPT and their ability to engage in human-like dialogue and use commonsense reasoning. We experimentally investigate a specific aspect of these abilities, namely counterfactual explanations. The capacity to reason counterfactually and provide relevant explanations is particularly important when using AI to assist high-stake decisions and assessments such as credit approval or medical diagnostics. For example, if a loan applicant is denied credit, a counterfactual explanation conveys the conditions under which the credit would have been granted. By injecting a decision-making algorithm into the model's prompt and systematically probing and annotating responses for carefully chosen inputs, we study potential patterns in GPT's selection of counterfactual examples. Preliminary results indicate that when GPT 3.5 provides counterfactual explanations, it does not consider causal relations between variables in a way that one would expect from a model with strong commonsense reasoning capabilities. We discuss potential implications of these results for real-world applications and future research.
","frontmatter":{"type":"seminar","presented_by":"Alexander Berman from University of Gothenburg","title":"Counterfactual reasoning capabilities of GPT: Preliminary findings","date":"September 27, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Alexander Berman/"}}},"pageContext":{"slug":"/news/Seminar by Alexander Berman/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Alexander Clark/page-data.json b/page-data/news/Seminar by Alexander Clark/page-data.json
new file mode 100644
index 0000000000..b534c94fc8
--- /dev/null
+++ b/page-data/news/Seminar by Alexander Clark/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-news-template-js","path":"/news/Seminar by Alexander Clark/","result":{"data":{"markdownRemark":{"html":"
Abstract
\n
Fitch (2014) suggests that at the heart of syntactic cognition is 'dendrophilia': \"a propensity by our species to infer tree structures from sequential data\". This is an appealing idea but raises two issues. First, how precisely does this happen, and which tree structures should they infer, given the indeterminacy of the tree structures given the observed sequences?\nSecondly, trees are notoriously inadequate for syntax: a majority of syntactic theory is concerned with deviations from hierarchical structure --- described variously as movement, displacement, internal merge and so on.
\n
In this talk I will try to answer these questions using two ideas.\nFirst I use Roger's notion of multidimensional trees (Rogers, 2003) as syntactic structures, generalising the relation between a string considered as a 1-d structure and a tree considered as a 2-d structure to higher dimensions. \nSecondly I take a model for learning tree structures from sequential data with PCFGs, (Clark and Fijalkow, 2020) and show that it can be extended to learning 3d-trees from 2d-trees (Clark, 2021) and above if needed.\nBy applying this model of dendrophilia twice we can then, in principle, learn these highly structured 3d trees from strings.
\n
I then relate this to discussions of \"well-nestedness\" in grammar formalisms, and the extent to which this can account for observed syntactic structures in natural language corpora.
","frontmatter":{"type":"seminar","presented_by":"Alexander Clark from University of Gothenburg","title":"Dendrophilia squared","date":"November 25, 2022","bannerImage":null},"fields":{"slug":"/news/Seminar by Alexander Clark/"}}},"pageContext":{"slug":"/news/Seminar by Alexander Clark/"}},"staticQueryHashes":["3875542623"]}
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diff --git "a/page-data/news/Seminar by Anna Lindahl, Arianna Masciolini, Ricardo Mu\303\261oz S\303\241nchez och Stian R\303\270dven-Eide/page-data.json" "b/page-data/news/Seminar by Anna Lindahl, Arianna Masciolini, Ricardo Mu\303\261oz S\303\241nchez och Stian R\303\270dven-Eide/page-data.json"
new file mode 100644
index 0000000000..2d883e0e09
--- /dev/null
+++ "b/page-data/news/Seminar by Anna Lindahl, Arianna Masciolini, Ricardo Mu\303\261oz S\303\241nchez och Stian R\303\270dven-Eide/page-data.json"
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-news-template-js","path":"/news/Seminar by Anna Lindahl, Arianna Masciolini, Ricardo Muñoz Sánchez och Stian Rødven-Eide/","result":{"data":{"markdownRemark":{"html":"
Abstract:\nFollowing a PhD course on Argument Mining -- the process of automatically identifying and classifying arguments -- we present the essence of what we have learned. This seminar will provide an overview of the most common ways to approach this task, through annotation, finding claims, support and attack, and establishing the argument structure. No prior knowledge will be necessary to enjoy our talk.
","frontmatter":{"type":"seminar","presented_by":"Anna Lindahl, Arianna Masciolini, Ricardo Muñoz Sánchez and Stian Rødven-Eide from University of Gothenburg","title":"A gentle introduction to argument mining","date":"October 21, 2022","bannerImage":null},"fields":{"slug":"/news/Seminar by Anna Lindahl, Arianna Masciolini, Ricardo Muñoz Sánchez och Stian Rødven-Eide/"}}},"pageContext":{"slug":"/news/Seminar by Anna Lindahl, Arianna Masciolini, Ricardo Muñoz Sánchez och Stian Rødven-Eide/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Asad Sayeed and Xudong Hong/page-data.json b/page-data/news/Seminar by Asad Sayeed and Xudong Hong/page-data.json
new file mode 100644
index 0000000000..052c10c424
--- /dev/null
+++ b/page-data/news/Seminar by Asad Sayeed and Xudong Hong/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-news-template-js","path":"/news/Seminar by Asad Sayeed and Xudong Hong/","result":{"data":{"markdownRemark":{"html":"
Abstract:\nCurrent work on image-based story generation suffers from the fact that the existing image sequence collections do not have coherent plots behind them. We improve visual story generation by producing a new image-grounded dataset, Visual Writing Prompts (VWP). VWP contains almost 2K selected sequences of movie shots, each including 5-10 images. The image sequences are aligned with a total of 12K stories which were collected via crowdsourcing given the image sequences and a set of grounded characters from the corresponding image sequence. Our new image sequence collection and filtering process has allowed us to obtain stories that are more coherent and more diverse compared to previous work. We also propose a character-based story generation model driven by coherence as a strong baseline. Evaluations show that our generated stories are more coherent, visually grounded, and more diverse than stories generated with the current state-of-the-art model. Our code, image features, annotations and collected stories are available at https://vwprompt.github.io/.
","frontmatter":{"type":"seminar","presented_by":"Asad Sayeed from University of Gothenburg and Xudong Hong from Saarland University","title":"Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences","date":"May 26, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Asad Sayeed and Xudong Hong/"}}},"pageContext":{"slug":"/news/Seminar by Asad Sayeed and Xudong Hong/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Casey Kennington/page-data.json b/page-data/news/Seminar by Casey Kennington/page-data.json
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Abstract: Distributional, grounded, and formal computational theories of how language is acquired, represented, and used are, it turns out, quite useful in many ways. Many aspects of language can be learned from just looking at a lot of text in a certain way, as evidenced by language models. Vision and language can come together to add world knowledge through grounded learning. Formal logics are useful for many things including inference. Are we at the point where computational models really \"understand\" natural language, and, if not, is more data and bigger models all we need? In my talk, I make an appeal to what is known about how human children learn language and how the progression of language learning matters for holistic language understanding.
\n
Bio: Casey Kennington is an Associate Professor in the Department of Computer Science at Boise State University, U.S.A. He earned his PhD at Bielefeld University, and masters degrees at Saarland University and Nancy 2 University. His research is in the field of spoken dialogue systems, primarily on robotic platforms.
","frontmatter":{"type":"seminar","presented_by":"Casey Kennington from Boise State University","title":"How Should Models of Language Meaning Learn?","date":"October 28, 2022","bannerImage":null},"fields":{"slug":"/news/Seminar by Casey Kennington/"}}},"pageContext":{"slug":"/news/Seminar by Casey Kennington/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Christian Hardmeier/page-data.json b/page-data/news/Seminar by Christian Hardmeier/page-data.json
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Abstract: The difficulty of pronoun translation is typically illustrated with examples of\nanaphoric pronouns requiring gender agreement in the target language. However,\npronoun translation is more complex than that. In this talk, I present our\nefforts to understand and model the generation and interpretation of pronouns in\ntranslation. A core resource is the ParCorFull corpus, a multilingual parallel\ndataset with a rich annotation of coreferential phenomena going beyond simple\nanaphoric references. ParCorFull has found a range of applications to the\ncross-lingual study of texts, to machine translation evaluation, leading to\ninsights into translation processes, but also uncovering challenges due to how\ncorpus annotation resolves ambiguity, potentially creating conflicts in a\nparallel data. Additional insights can be gained from studies of pronoun\ngeneration and interpretation we've conducted with human participants,\nhighlighting the variance of typical patterns across five European languages. I\nalso present our work on modelling pronoun translation in the context of\ncross-lingual coreference resolution and neural machine translation with the\nhelp of cross-lingual mention attention, resulting in consistent, but rather\nmodest performance gains. If time permits, I may also talk a bit about our\nmore recent work on evidential deep learning for uncertainty estimation.
","frontmatter":{"type":"seminar","presented_by":"Christian Hardmeier from IT University of Copenhagen","title":"Understanding and Modelling Pronouns in Translation: Resources, Methods, Challenges and Insights","date":"April 14, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Christian Hardmeier/"}}},"pageContext":{"slug":"/news/Seminar by Christian Hardmeier/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Christopher Potts/page-data.json b/page-data/news/Seminar by Christopher Potts/page-data.json
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Abstract: Explaining why a modern AI model makes the predictions it does has emerged as one of the most important questions in AI. In this era of ever-widening impact, the field has rightly turned its attention to questions of trust, safety, reliability, and bias mitigation for the models we deploy, and seriously addressing these questions will require us to understand whether and how these models represent and use human-interpretable concepts. In this talk, I'll report on our recent efforts to achieve these explanations using a family of techniques called causal abstraction. In causal abstraction analysis, one assesses the extent to which an interpretable high-level model (say, a computer program) is a faithful proxy for a lower-level model (say, a neural network). Such analyses have already revealed a great deal about how models solve complex tasks. In particular, we are seeing that the best present-day large language models often induce interpretable, quasi-symbolic solutions that enable them to do well on hard, out-of-domain generalization tasks. This is encouraging, but it should be said that we are far from having the comprehensive understanding we need to offer even tightly circumscribed guarantees of safety and trust.
","frontmatter":{"type":"seminar","presented_by":"Christopher Potts from Stanford University","title":"Causal abstraction for faithful, human-interpretable model explanations","date":"October 11, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Christopher Potts/"}}},"pageContext":{"slug":"/news/Seminar by Christopher Potts/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Claire Gardent/page-data.json b/page-data/news/Seminar by Claire Gardent/page-data.json
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Abstract:\nTo date, most work on simplification has focused on sentences. Early attempts at document simplification merely applied these approaches iteratively over the sentences of a document. However, this fails to coherently preserve the discourse structure, leading to suboptimal output quality. In this talk, I will highlight the challenges involved in simplifying documents and argue that both the context and the internal structure of the sentences to be simplified need to be modelled. We will explore various models which exploit document context within the simplification process itself, either by iterating over larger text units or by extending the system architecture to attend over a high-level representation of document context. I will further discuss the performance and efficiency tradeoffs of these system variants making suggestions of when each should be preferred.
","frontmatter":{"type":"seminar","presented_by":"Claire Gardent from LORIA, CNRS and Université de Lorraine","title":"Simplifying Documents","date":"October 25, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Claire Gardent/"}}},"pageContext":{"slug":"/news/Seminar by Claire Gardent/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Djame Seddah/page-data.json b/page-data/news/Seminar by Djame Seddah/page-data.json
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Abstract: As cliché as it sounds, pretrained language models are now ubiquitous in Natural Language Processing, the most prominent ones being arguably Bert (Delvin et al, 2018). Many works have shown that Bert-based models are able to capture meaningful syntactic information using nothing else than raw data for training (eg. Jawahar et al, 2019) and this ability is probably one of the reasons of its success.
\n
Anyway, until November 2019 and the release of CamemBERT, most available models were trained on English data or on the concatenation of data in multiple languages. In this talk, I’ll present the results of a work that investigates the feasibility of training monolingual Transformer-based language models for other languages, taking French as an example and evaluating our language models on part-of-speech tagging, dependency parsing, named entity recognition and natural language inference tasks. We show that the use of web crawled data is preferable to the use of Wikipedia data. Our best performing model established the state of the art in all four downstream tasks. More surprisingly, we show that a relatively small web crawled dataset (a few gigabytes) leads to results that are as good as those obtained using two magnitudes larger datasets.
\n
Important questions still remain though: What to do in case of dialects with high variabilities in scarce resource scenarios? I’ll present a first round of results using a CharacterBERT model trained on very little data and evaluated on noisy French user-generated content and dialectal north-African Arabic written in Latin script (Arabizi), as commonly found in social media. Our experiments show that those models exhibit strong performance when facing noisy-content but so do “classical” Bert-based models trained on literally 100x more data. This questions the usefulness of those characterBert models in relatively resource-rich scenarios, even when facing very noisy text.
\n
Presented by Djamé Seddah, joint work with Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, Yoann Dupont, Laurent Romary, Éric Villemonte de la Clergerie, and Benoît Sagot for the CamemBert part. With Arij Riabi for the CharacterBert experiments and Ganesh Jawahar for the Bertology parts.
","frontmatter":{"type":"seminar","presented_by":"Djamé Seddah from Université Paris-Sorbonne (Paris 4)","title":"CamemBERT must die! (jk,lol) or \"Beyond Sesame street-based naming schemes: Camembert vs CharacterBert, a study on the performance robustness of large monolingual language models and their character-based counterparts\".","date":"January 27, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Djame Seddah/"}}},"pageContext":{"slug":"/news/Seminar by Djame Seddah/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Emil Carlsson/page-data.json b/page-data/news/Seminar by Emil Carlsson/page-data.json
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Abstract:
\n
In this work we introduce a structured signaling game, an extension of the classical signaling game with a similarity structure between meanings in the context, along with a variant of the Rational Speech Act (RSA) framework which we call structured-RSA (sRSA) for pragmatic reasoning in structured domains. We explore the behavior of the sRSA in the domain of color and show that pragmatic agents using sRSA on top of semantic representations, derived from the World Color Survey, attain efficiency very close to the information theoretic limit after only 1 or 2 levels of recursion. We also explore the interaction between pragmatic reasoning and learning in multi-agent reinforcement learning framework. Our results illustrate that artificial agents using sRSA develop communication closer to the information theoretic frontier compared to agents using RSA and just reinforcement learning. We also find that the ambiguity of the semantic representation increases as the pragmatic agents are allowed to perform deeper reasoning about each other during learning.
","frontmatter":{"type":"seminar","presented_by":"Emil Carlsson and Devdatt Dubhashi from Chalmers University","title":"Pragmatic Reasoning in Structured Signaling Games","date":"June 08, 2022","bannerImage":null},"fields":{"slug":"/news/Seminar by Emil Carlsson/"}}},"pageContext":{"slug":"/news/Seminar by Emil Carlsson/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by G.J. (Gijs) Wijnholds/page-data.json b/page-data/news/Seminar by G.J. (Gijs) Wijnholds/page-data.json
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Abstract: Large-scale language models like GPT-3 and BERT are considered stochastic parrots: they make reference to form but not to meaning. Yet, such models allow for high-performing fine-tuned models in NLP, begging the question of the how much linguistic information we can extract from them. In this talk, I discuss recent case studies in which we set out to quantify the syntactic capacity of BERT in the evaluation regime of non-context free patterns, as occurring in Dutch. We devised test suites based on a mildly context-sensitive formalism, from which we derive grammars that capture the linguistic phenomena of control verb nesting and verb raising, and other verb cluster formations. The grammars, paired with a small lexicon, provide us with a large collection of naturalistic utterances annotated with verb-subject pairings, that serve as the evaluation test bed for an attention-based span selection probe. Our results, backed by extensive analysis, suggest that the models investigated fail in the implicit acquisition of the dependencies examined. If time permits, we compare the two different strategies for generating test cases, and look into future extensions of this work.
","frontmatter":{"type":"seminar","presented_by":"G.J. (Gijs) Wijnholds from University of Utrecht","title":"Discontinuous Constituency and BERT: Case Studies of Dutch","date":"February 17, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by G.J. (Gijs) Wijnholds/"}}},"pageContext":{"slug":"/news/Seminar by G.J. (Gijs) Wijnholds/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Guy Edward Toh Emerson/page-data.json b/page-data/news/Seminar by Guy Edward Toh Emerson/page-data.json
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","frontmatter":{"type":"seminar","presented_by":"Guy Edward Toh Emerson from University of Cambridge","title":"","date":"March 27, 2024","bannerImage":null},"fields":{"slug":"/news/Seminar by Guy Edward Toh Emerson/"}}},"pageContext":{"slug":"/news/Seminar by Guy Edward Toh Emerson/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Hannah Rohde/page-data.json b/page-data/news/Seminar by Hannah Rohde/page-data.json
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Abstract: In studying meaning in communication, a question arises as to which meanings are favored by interlocutors. While a range of candidate meanings may be possible and even plausible, how do speakers select which meanings to communicate and how do listeners make guesses as to the most probable meaning when trying to recover what a speaker intends or when anticipating what a speaker will say next?
\n
In this talk, I compare two hypotheses for ranking candidate meanings that a speaker might contribute to a discourse. Under one account, listeners' guesses simply reflect the probability that different meanings hold true: Speakers are taken to generate sentences that describe the world they see and listeners come to expect sentences about the typical situations speakers find themselves in. A second account combines this component with a component capturing the likelihood that a speaker, knowing some meaning to be true, would select that meaning as one worth conveying to a listener in an utterance. I present a series of psycholinguistic studies measuring listeners' awareness of speakers' production likelihoods. For example, although bananas are prototypically yellow, speakers rarely mention this yellowness in their utterances. In an eye-tracking study measuring anticipatory looking, listeners who hear a speaker use an ambiguous color adjective are found to anticipate subsequent mention of an object for which that color is less typical in the real world. Similarly, in a study on comprehenders' guesses of what a speaker will say next, participants are shown to disprefer upcoming material that describes situation-typical outcomes. Further studies target properties of the speaker and show that the more aware comprehenders are of the speaker as an intentional knowledgeable communicator, the more informative they expect the speaker's contribution to be and the more inferences they draw from the speaker's content selection. This work raises questions about the ways in which learners (humans, machines) acquire information about the world if their linguistic input favors the description of real-world-atypical content.
\n
The findings highlight the importance of establishing not only which meanings are possible and how they are derived, but also which meanings are probable as likely contributions to coherent discourse, despite -- or perhaps as a result of -- denoting non-typical situations.
","frontmatter":{"type":"seminar","presented_by":"Hannah Rohde from University of Edinburgh","title":"Informativity in cooperative communication","date":"June 02, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Hannah Rohde/"}}},"pageContext":{"slug":"/news/Seminar by Hannah Rohde/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Jean-Philippe Bernardy/page-data.json b/page-data/news/Seminar by Jean-Philippe Bernardy/page-data.json
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--- /dev/null
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Abstract: In a series of influential papers, Lassiter and Goodman have proposed to use a variant of the rational speech act model to account for semantic learning of linguistic parameters of lexical items. In this talk, I propose a reformulation of the Lassiter-Goodman model in information-theoretic terms. This reformulation sets the stage not only for a critique of the model, but shows that semantic learning can be given a direct epistemic account for linguistic disambiguation, doing away with RSA. I will conclude the talk with a comparison of the two models.
","frontmatter":{"type":"seminar","presented_by":"Jean-Philippe Bernardy from University of Gothenburg","title":"The Informative Speech Act: Linguistic Disambiguation on the basis of Epistemic Probability of Interpretations","date":"January 20, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Jean-Philippe Bernardy/"}}},"pageContext":{"slug":"/news/Seminar by Jean-Philippe Bernardy/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Joakim Nivre/page-data.json b/page-data/news/Seminar by Joakim Nivre/page-data.json
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index 0000000000..ced0a71c7a
--- /dev/null
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Abstract: Dependency-based approaches to syntactic analysis assume that syntactic structure can be analyzed in terms of binary asymmetric dependency relations holding between elementary syntactic units. Computational models for dependency parsing almost universally assume that an elementary syntactic unit is a word, while the influential theory of Lucien Tesnière instead posits a more abstract notion of nucleus, which may be realized as one or more words. In this article, we investigate the effect of enriching computational parsing models with a concept of nucleus inspired by Tesnière. We begin by reviewing how the concept of nucleus can be defined in the framework of Universal Dependencies, which has become the de facto standard for training and evaluating supervised dependency parsers, and explaining how composition functions can be used to make neural transition-based dependency parsers aware of the nuclei thus defined. We then perform an extensive experimental study, using data from 20 languages to assess the impact of nucleus composition across languages with different typological characteristics, and employing a variety of analytical tools including ablation, linear mixed-effects models, diagnostic classifiers and dimensionality reduction. The analysis reveals that nucleus composition gives small but consistent improvements in parsing accuracy for most languages, and that the improvement mainly concerns the analysis of main predicates, nominal dependents, clausal dependents and coordination structures. Significant factors explaining the rate of improvement across languages include entropy in coordination structures and frequency of certain function words, in particular determiners. Analysis using dimensionality reduction and diagnostic classifiers suggests that nucleus composition increases the similarity of vectors representing nuclei of the same syntactic type.
\n
Joint work with Ali Basirat, Luise Dürlich and Adam Moss.
","frontmatter":{"type":"seminar","presented_by":"Joakim Nivre from Uppsala University and RISE Research Institutes of Sweden","title":"Nucleus Composition in Transition-Based Dependency Parsing","date":"November 18, 2022","bannerImage":null},"fields":{"slug":"/news/Seminar by Joakim Nivre/"}}},"pageContext":{"slug":"/news/Seminar by Joakim Nivre/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Katrin Erk/page-data.json b/page-data/news/Seminar by Katrin Erk/page-data.json
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Abstract: How can a fine-grained representation of word meaning be integrated with a formal representation of sentence meaning? More specifically, how can such a representation address uncertainty and gradience? There are a number of approaches that address this question, including McNally (2015). Emerson (2016,2018,2020), Bernardy et al (2018, 2019), Sadrzadeh and Muskens (2018). Erk and Herbelot (2023). In this talk, we build on our own recent approach, Situation Description Systems (Erk and Herbelot 2023). Situation Description Systems describe meaning as both intensional and conceptual; the conceptual representation is a probabilistic graphical model representing dependencies between the underlying concepts of words in the sentence. So far, the approach was only toy-size, and could not be applied at scale. In this talk, we present a scaled-up variant of Situation Description Systems that uses a sizable lexicon derived from the Visual Genome database of annotated images. Concepts are represented by embeddings computed from labels in the image annotations.
","frontmatter":{"type":"seminar","presented_by":"Katrin Erk from University of Texas at Austin","title":"Scaling up a joint model of word meaning and sentence meaning: Situation Description Systems and the Visual Genome","date":"May 12, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Katrin Erk/"}}},"pageContext":{"slug":"/news/Seminar by Katrin Erk/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Marcel Bollmann/page-data.json b/page-data/news/Seminar by Marcel Bollmann/page-data.json
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Abstract: From analysis of 16th-century text collections to machine translation for Creole languages: there are a lot of challenging application scenarios for NLP outside the “mainstream” English-language tasks. Yet many new NLP technologies are developed first and foremost for English, with “multilinguality” being achieved as a by-product of throwing more data at a model. Will this be the way forward? Are there still benefits in thinking about how we represent language for deep learning models, such as subword tokenization or incorporating linguistic structure?
\n
In this talk, I will probably have more questions than answers, but will provide some perspectives from my own work on these topics — from failed attempts at building machine translation models for indigenous American languages to investigations of morphology and subword tokenization — with the overarching themes of: How good are we already at NLP beyond English? Is there value in thinking more about linguistics when building NLP models?
","frontmatter":{"type":"seminar","presented_by":"Marcel Bollmann from Linköping University","title":"NLP beyond English: Do we need to think more about linguistics?","date":"May 05, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Marcel Bollmann/"}}},"pageContext":{"slug":"/news/Seminar by Marcel Bollmann/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Marco Kuhlmann/page-data.json b/page-data/news/Seminar by Marco Kuhlmann/page-data.json
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Abstract: The impressive performance of neural language models such as GPT-3, PaLM and FLAN raises the question of to what extent these models have ‘learned’ language and how to reason with it. This talk will summarise recent work addressing this question along two lines of research: probing and explaining. Probing neural language models aims at finding evidence of learned linguistic structure by empirically testing hypotheses about the learned representations on diagnostic tasks. While this approach has generated interesting insights, we have shown that it comes with several methodological issues, including uncertainty about the suitability and validity of performance measures and the lack of suitable baselines [1–3]. Recent work has studied architectures augmented with the capability to generate free-text rationales that explain model output to investigate the reasoning capabilities of neural language models on tasks such as natural language inference and commonsense question answering. We have compared explanations by a generation-only model to those generated by a self-rationalizing model and found that, while the former score higher in terms of validity, factual correctness, and similarity to gold explanations, they are not more useful for downstream classification [4]. Our work raises important questions about the limitations of current methods for analysing neural language models and points to avenues for future work.
\n
[1] Jenny Kunz and Marco Kuhlmann. Classifier Probes May Just Learn from Linear Context Features. COLING 2020\n[2] Jenny Kunz and Marco Kuhlmann. Test Harder Than You Train: Probing with Extrapolation Splits. BlackboxNLP 2021\n[3] Jenny Kunz and Marco Kuhlmann. Where Does Linguistic Information Emerge in Neural Language Models? Measuring Gains and Contributions Across Layers. COLING 2022\n[4] Jenny Kunz, Martin Jirénius, Oskar Holmström, and Marco Kuhlmann. Human Ratings Do Not Reflect Downstream Utility: A Study of Free-Text Explanations for Model Predictions. Accepted to BlackboxNLP 2022
","frontmatter":{"type":"seminar","presented_by":"Marco Kuhlmann from University of Linköping","title":"Probing and Explaining Neural Language Models","date":"December 02, 2022","bannerImage":null},"fields":{"slug":"/news/Seminar by Marco Kuhlmann/"}}},"pageContext":{"slug":"/news/Seminar by Marco Kuhlmann/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Morten H. Christiansen/page-data.json b/page-data/news/Seminar by Morten H. Christiansen/page-data.json
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","frontmatter":{"type":"seminar","presented_by":"Morten H. Christiansen from Cornell University","title":"","date":"March 28, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Morten H. Christiansen/"}}},"pageContext":{"slug":"/news/Seminar by Morten H. Christiansen/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Nina Tahmasebi and the Change is Key! team/page-data.json b/page-data/news/Seminar by Nina Tahmasebi and the Change is Key! team/page-data.json
new file mode 100644
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Nina Tahmasebi and the Change is Key! team will introduce the Change is Key! program and some of our ongoing research. We will present the humanities and social science research questions that we will answer with the help of computational models of meaning and meaning change. In addition we will present ongoing work on word sense induction and modeling, semantic change across multiple time periods, and our work on large language models and their fit to historical data.
","frontmatter":{"type":"seminar","presented_by":"Nina Tahmasebi and the Change is Key! team from University of Gothenburg","title":"Ongoing research in the Change is Key! program","date":"November 01, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Nina Tahmasebi and the Change is Key! team/"}}},"pageContext":{"slug":"/news/Seminar by Nina Tahmasebi and the Change is Key! team/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/news/Seminar by Noortje J. Venhuizen/page-data.json b/page-data/news/Seminar by Noortje J. Venhuizen/page-data.json
new file mode 100644
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+++ b/page-data/news/Seminar by Noortje J. Venhuizen/page-data.json
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+{"componentChunkName":"component---src-templates-news-template-js","path":"/news/Seminar by Noortje J. Venhuizen/","result":{"data":{"markdownRemark":{"html":"
","frontmatter":{"type":"seminar","presented_by":"Noortje J. Venhuizen from Tilburg University","title":"","date":"November 08, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Noortje J. Venhuizen/"}}},"pageContext":{"slug":"/news/Seminar by Noortje J. Venhuizen/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Rolando Coto Solano/index2/page-data.json b/page-data/news/Seminar by Rolando Coto Solano/index2/page-data.json
new file mode 100644
index 0000000000..65cf0c95f7
--- /dev/null
+++ b/page-data/news/Seminar by Rolando Coto Solano/index2/page-data.json
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+{"componentChunkName":"component---src-templates-news-template-js","path":"/news/Seminar by Rolando Coto Solano/index2/","result":{"data":{"markdownRemark":{"html":"
Abstract: How do deep learning models behave when faced with truly low-resource languages? We will attempt to define what a \"low-resource\" language is, and we will look at examples of learning techniques such as cross-lingual approaches that do help in the learning of dramatically small datasets. By exploring speech recognition, parsing and machine translation, we will look at algorithms that work and algorithms that break under such conditions. We will also discuss the many differences in the nature of low-resource data, and how people go looking for data in the wrong places. Finally, we will discuss techniques such as attention vector analysis that can help us probe into what models can be learning in such data-limited scenarios. We will provide examples from the languages Bribri from Costa Rica and Cook Islands Māori from Polynesia.
","frontmatter":{"type":"seminar","presented_by":"Rolando Coto Solano from Dartmouth College","title":"Deep learning and severely under-resourced languages: How much can the model actually learn?","date":"March 23, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Rolando Coto Solano/index2/"}}},"pageContext":{"slug":"/news/Seminar by Rolando Coto Solano/index2/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/news/Seminar by Rolando Coto Solano/page-data.json b/page-data/news/Seminar by Rolando Coto Solano/page-data.json
new file mode 100644
index 0000000000..db552a63bb
--- /dev/null
+++ b/page-data/news/Seminar by Rolando Coto Solano/page-data.json
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Abstract: Artificial intelligence techniques are available for large languages such as English, but they can help us dramatically accelerate our documention work even in languages with very few resources. In this talk we will focus on breaking the transcription bottleneck by discussing how speech recognition can facilitate the task of transcription. We will also look at techniques such as automated parsing and machine translation which can be helpful when compiling corpora. We will also look at the impact that technologies can have in language revitalization, and how even simple tools like predictive keyboards can help in this work. The talk will focus on examples from the languages Bribri from Costa Rica and Cook Islands Māori from Polynesia.
","frontmatter":{"type":"seminar","presented_by":"Rolando Coto Solano from Dartmouth College","title":"Artificial Intelligence to Accelerate Language Documentation","date":"March 21, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Rolando Coto Solano/"}}},"pageContext":{"slug":"/news/Seminar by Rolando Coto Solano/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Sebastian Schuster/page-data.json b/page-data/news/Seminar by Sebastian Schuster/page-data.json
new file mode 100644
index 0000000000..50d5d3e06c
--- /dev/null
+++ b/page-data/news/Seminar by Sebastian Schuster/page-data.json
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+{"componentChunkName":"component---src-templates-news-template-js","path":"/news/Seminar by Sebastian Schuster/","result":{"data":{"markdownRemark":{"html":"
Abstract:\nUnderstanding longer narratives or participating in conversations requires tracking of entities that have been mentioned and tracking how their properties change over the course of a discourse. In my talk, I will present two studies which assess the ability of large-scale pre-trained language models such as GPT-2/3 or T5 to track discourse entities.
\n
I first consider the interactions between indefinite noun phrases and sentential operators and embedding verbs. For example, while 'a dog' in 'Arthur owns a dog' introduces an entity of a discourse, the sentence 'Arthur doesn't own a dog' does not due to the presence of negation. I adapt the psycholinguistic assessment of language models paradigm to higher-level linguistic phenomena and introduce an English evaluation suite that targets the knowledge of the interactions between sentential operators and indefinite NPs. I use this evaluation suite for a fine-grained investigation of the entity tracking abilities of the Transformer-based models GPT-2 and GPT-3.
\n
In the second part of my talk, I'll focus on the extent to which the Transformer-based model T5 tracks updates to different entities as a discourse unfolds. I'll present a series of behavioral experiments that probe whether the model can systematically parse an initial state description and then track changes made to entities in subsequent sentences.
\n
I'll conclude with a brief discussion of the implications for the learnability of meaning from large corpora, and ideas for how to improve entity tracking abilities in language models.
\n
Bio:\nSebastian Schuster is currently a Postdoctoral Researcher at Saarland University as part of Vera Demberg’s group. His research focuses on developing and evaluating models of pragmatic language understanding. He was previously a Postdoctoral Fellow at the Center of Data Science and the Department of Linguistics at NYU, and he holds an MS degree in Computer Science and a PhD in Linguistics from Stanford University, and a BS in Computer Science from the University of Vienna.
","frontmatter":{"type":"seminar","presented_by":"Sebastian Schuster from Saarland University","title":"Entity tracking in pre-trained language models","date":"November 04, 2022","bannerImage":null},"fields":{"slug":"/news/Seminar by Sebastian Schuster/"}}},"pageContext":{"slug":"/news/Seminar by Sebastian Schuster/"}},"staticQueryHashes":["3875542623"]}
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diff --git "a/page-data/news/Seminar by Sina Zarrie\303\237 /page-data.json" "b/page-data/news/Seminar by Sina Zarrie\303\237 /page-data.json"
new file mode 100644
index 0000000000..ac4474bd8e
--- /dev/null
+++ "b/page-data/news/Seminar by Sina Zarrie\303\237 /page-data.json"
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+{"componentChunkName":"component---src-templates-news-template-js","path":"/news/Seminar by Sina Zarrieß /","result":{"data":{"markdownRemark":{"html":"
Abstract: Many areas and theories in linguistics are concerned with regularities and conventions in language and interaction, essentially focussing on modeling language as a system. Yet, actual language data is often full of deviations from these regularities. When using language as a tool for interaction, speakers seem to have the ability to go beyond the conventions of the community they belong to and still be communicatively successful. In this talk, I will report on some recent attempts in linguistics (also in Bielefeld) to integrate creative aspects of language use with traditional approaches to language and to put linguistic creativity at the forefront of linguistic research. I will discuss how these ideas may relate to computational approaches in language and dialogue modeling and why they may constitute an interesting challenge for today's heavily data-driven frameworks. Last but not least, I will present recent and ongoing experiments on language generation and modeling that could be used to study linguistic creativity in computational settings.
","frontmatter":{"type":"seminar","presented_by":"Sina Zarrieß from University of Bielefeld","title":"Linguistic Creativity and Computational Modeling of Language","date":"February 10, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Sina Zarrieß /"}}},"pageContext":{"slug":"/news/Seminar by Sina Zarrieß /"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Staffan Larsson/page-data.json b/page-data/news/Seminar by Staffan Larsson/page-data.json
new file mode 100644
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Abstract:\nThe goal of the work presented here is to provide a hybrid of formal and neural semantics for natural language. To this end, we consider how the kind of formal semantic objects used in TTR (a theory of types with records, Cooper, 2023) might be related to the vector representations used in Eliasmith (2013). An advantage of doing this is that it would immediately give us a neural representation for TTR objects as Eliasmith relates vectors to neural activity in his semantic pointer architecture (SPA). This would be an alternative using convolution to the suggestions made by Cooper (2019a) based on the phasing of neural activity. The project seems potentially hopeful since all complex TTR objects are constructed from labelled sets (essentially sets of ordered pairs consisting of labels and values) which might be seen as corresponding to the representation of structured objects which Eliasmith achieves using superposition and circular convolution.
","frontmatter":{"type":"seminar","presented_by":"Staffan Larsson from University of Gothenburg","title":"TTR at the SPA: Relating type-theoretical semantics to neural semantic pointers","date":"November 15, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Staffan Larsson/"}}},"pageContext":{"slug":"/news/Seminar by Staffan Larsson/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Stephen Clark/page-data.json b/page-data/news/Seminar by Stephen Clark/page-data.json
new file mode 100644
index 0000000000..0fbf33832a
--- /dev/null
+++ b/page-data/news/Seminar by Stephen Clark/page-data.json
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Abstract: In this talk I will describe various recurrent architectures based around Parameterised Quantum Circuits (PQCs). A PQC is applied at each time step to produce a quantum state, and each application of the PQC is determined by an angle encoding of the corresponding word (via its classical word embedding). The quantum state can then be measured in order to produce a classical output. All the parameters of the hybrid model can be learned end-to-end using classical optimisers applied to some NLP task, in this case a standard sentiment analysis dataset. The models are trained and tested in simulation, with the potential to be run on real quantum hardware. Our experiments demonstrate encouraging performance compared to a classical RNN baseline.
\n
Bio:\nPrior to joining Quantinuum as Head of AI, Stephen Clark spent 18 years working at UK universities, first as a postdoctoral researcher at the University of Edinburgh, then as a member of Faculty at the Universities of Oxford and Cambridge, including 4 years as a Tutorial Fellow at Keble College, Oxford. He has also been an Honorary Professor at Queen Mary University of London. From 2016 to 2021 he was a Senior Research Scientist at DeepMind in London. Stephen Clark holds an undergraduate degree in Philosophy from the University of Cambridge (Gonville and Caius College) and a PhD in Computer Science and Artificial Intelligence from the University of Sussex. Much of his research has been concerned with the syntactic and semantic analysis of text, which he currently investigates in the context of quantum computing.
","frontmatter":{"type":"seminar","presented_by":"Stephen Clark, Head of ArtificiaI Intelligence, Quantinuum","title":"Hybrid Recurrent Architectures for Quantum-Classical NLP","date":"September 06, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Stephen Clark/"}}},"pageContext":{"slug":"/news/Seminar by Stephen Clark/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/news/Seminar by Tatjana Scheffler/page-data.json b/page-data/news/Seminar by Tatjana Scheffler/page-data.json
new file mode 100644
index 0000000000..81f2852212
--- /dev/null
+++ b/page-data/news/Seminar by Tatjana Scheffler/page-data.json
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+{"componentChunkName":"component---src-templates-news-template-js","path":"/news/Seminar by Tatjana Scheffler/","result":{"data":{"markdownRemark":{"html":"
Abstract: Intensifiers (really, so, very) are a frequent phenomenon typical of informal speech. In sociolinguistic studies, they have been shown to be highly variable and undergo constant innovation. They are also a common occurrence in casual conversations online. In this talk, I present recent research targeting medium specific, register specific, and individual variation in the use of intensifiers in German as a case study. I use a large Twitter data set as well as a new corpus of blog posts and tweets from the same authors to investigate the role of semantic differences between intensifiers, as well as the medium, register, and individual author properties to model intensifier choice. I argue that intensifiers share a core meaning component, but differ mainly in 'expressivity', a non at issue contribution that (roughly) indicates the level of emotional involvement of the author. I use information theoretic measures (surprisal) to model this expressive component. Based on this model, I test the predictions of the Uniform Information Density hypothesis to explain the existence of 'stacks' of more than one intensifier in the same phrase as well as their order. Finally, I present results on the automatic detection of intensifiers in text using ML classifiers, opening up a potential avenue to study linguistic creativity with computational means.
","frontmatter":{"type":"seminar","presented_by":"Tatjana Scheffler from Ruhr-University Bochum","title":"Computational Linguistic Approaches to Digital Conversations: the Case of Intensifiers","date":"March 17, 2023","bannerImage":null},"fields":{"slug":"/news/Seminar by Tatjana Scheffler/"}}},"pageContext":{"slug":"/news/Seminar by Tatjana Scheffler/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/news/Seminar by Valerio Basile/page-data.json b/page-data/news/Seminar by Valerio Basile/page-data.json
new file mode 100644
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","frontmatter":{"type":"seminar","presented_by":"Valerio Basile from University of Turin","title":"","date":"January 31, 2024","bannerImage":null},"fields":{"slug":"/news/Seminar by Valerio Basile/"}}},"pageContext":{"slug":"/news/Seminar by Valerio Basile/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/news/page-data.json b/page-data/news/page-data.json
new file mode 100644
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--- /dev/null
+++ b/page-data/news/page-data.json
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+{"componentChunkName":"component---src-pages-news-js","path":"/news/","result":{"data":{"news":{"group":[{"news":[{"news_entry":{"fields":{"slug":"/news/Seminar by Claire Gardent/"},"frontmatter":{"presented_by":"Claire Gardent from LORIA, CNRS and Université de Lorraine","title":"Simplifying Documents","type":"seminar","date":"October 25, 2023","expired":false,"year":2023,"bannerImage":null},"excerpt":"Abstract:\nTo date, most work on simplification has focused on sentences. Early attempts at document simplification merely applied these…"}},{"news_entry":{"fields":{"slug":"/news/Seminar by Nina Tahmasebi and the Change is Key! team/"},"frontmatter":{"presented_by":"Nina Tahmasebi and the Change is Key! team from University of Gothenburg","title":"Ongoing research in the Change is Key! program","type":"seminar","date":"November 01, 2023","expired":false,"year":2023,"bannerImage":null},"excerpt":"Nina Tahmasebi and the Change is Key! team will introduce the Change is Key! program and some of our ongoing research. We will present the…"}},{"news_entry":{"fields":{"slug":"/news/Seminar by Noortje J. Venhuizen/"},"frontmatter":{"presented_by":"Noortje J. Venhuizen from Tilburg University","title":"","type":"seminar","date":"November 08, 2023","expired":false,"year":2023,"bannerImage":null},"excerpt":"Abstract: Location: Attend a virtual seminar in person at C252 or via Zoom, https://gu-se.zoom.us/j/66299274809?pwd=Yjc2ejc…"}},{"news_entry":{"fields":{"slug":"/news/Seminar by Staffan Larsson/"},"frontmatter":{"presented_by":"Staffan Larsson from University of Gothenburg","title":"TTR at the SPA: Relating type-theoretical semantics to neural semantic pointers","type":"seminar","date":"November 15, 2023","expired":false,"year":2023,"bannerImage":null},"excerpt":"Abstract:\nThe goal of the work presented here is to provide a hybrid of formal and neural semantics for natural language. To this end, we…"}},{"news_entry":{"fields":{"slug":"/news/Seminar by Alex Warstadt/"},"frontmatter":{"presented_by":"Alex Warstadt from ETH Zürich","title":"","type":"seminar","date":"November 21, 2023","expired":false,"year":2023,"bannerImage":null},"excerpt":"Abstract: Location: Attend in person at room C250 or via Zoom, https://gu-se.zoom.us/j/66299274809?pwd=Yjc2ejc2VVhraXVJMmhWeWtOQ2NuUT0…"}},{"news_entry":{"fields":{"slug":"/news/Seminar by Alessandro Lenci/"},"frontmatter":{"presented_by":"Alessandro Lenci from Università di Pisa","title":"","type":"seminar","date":"December 13, 2023","expired":false,"year":2023,"bannerImage":null},"excerpt":"Abstract: Location: Attend in person at C250 or via Zoom, https://gu-se.zoom.us/j/66299274809?pwd=Yjc2ejc2VVhraXVJMmhWeWtOQ2NuUT09 Time: 1…"}}]},{"news":[{"news_entry":{"fields":{"slug":"/news/Seminar by Valerio Basile/"},"frontmatter":{"presented_by":"Valerio Basile from University of Turin","title":"","type":"seminar","date":"January 31, 2024","expired":false,"year":2024,"bannerImage":null},"excerpt":"Abstract: Location: Attend in person at or via Zoom, https://gu-se.zoom.us/j/66299274809?pwd=Yjc2ejc2VVhraXVJMmhWeWtOQ2NuUT09 Time: 13:15-1…"}}]}],"totalCount":7}},"pageContext":{}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/Amandine-Decker/page-data.json b/page-data/people/Amandine-Decker/page-data.json
new file mode 100644
index 0000000000..99ef964696
--- /dev/null
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+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/Amandine-Decker/","result":{"data":{"markdownRemark":{"html":"","frontmatter":{"title":"PhD Student","name":"Amandine Decker","profileImage":null},"fields":{"slug":"/people/Amandine-Decker/"}}},"pageContext":{"slug":"/people/Amandine-Decker/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/David-Pagmar/page-data.json b/page-data/people/David-Pagmar/page-data.json
new file mode 100644
index 0000000000..faf041284b
--- /dev/null
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+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/David-Pagmar/","result":{"data":{"markdownRemark":{"html":"
David Pagmar is a Post-doc at CLASP.
","frontmatter":{"title":"Post-doc","name":"David-Pagmar","profileImage":null},"fields":{"slug":"/people/David-Pagmar/"}}},"pageContext":{"slug":"/people/David-Pagmar/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/people/Eleni Gregoromichelaki /page-data.json b/page-data/people/Eleni Gregoromichelaki /page-data.json
new file mode 100644
index 0000000000..7f1d1bfad3
--- /dev/null
+++ b/page-data/people/Eleni Gregoromichelaki /page-data.json
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+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/Eleni Gregoromichelaki /","result":{"data":{"markdownRemark":{"html":"","frontmatter":{"title":"Associate member","name":"Eleni Gregoromichelaki ","profileImage":null},"fields":{"slug":"/people/Eleni Gregoromichelaki /"}}},"pageContext":{"slug":"/people/Eleni Gregoromichelaki /"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/Rasmus-Blanck/page-data.json b/page-data/people/Rasmus-Blanck/page-data.json
new file mode 100644
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+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/Rasmus-Blanck/","result":{"data":{"markdownRemark":{"html":"","frontmatter":{"title":"Associate Senior Lecturer in Computational Linguistics","name":"Rasmus Blanck","profileImage":null},"fields":{"slug":"/people/Rasmus-Blanck/"}}},"pageContext":{"slug":"/people/Rasmus-Blanck/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/adam-ek/page-data.json b/page-data/people/adam-ek/page-data.json
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Adam Ek was a PhD student at CLASP.
","frontmatter":{"title":"PhD student","name":"Adam Ek","profileImage":{"publicURL":"/static/5648a1cca41c5e90441fe2a06214dabd/Adam.jpg"}},"fields":{"slug":"/people/adam-ek/"}}},"pageContext":{"slug":"/people/adam-ek/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/people/aleksandre-maskharashvili/page-data.json b/page-data/people/aleksandre-maskharashvili/page-data.json
new file mode 100644
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--- /dev/null
+++ b/page-data/people/aleksandre-maskharashvili/page-data.json
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+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/aleksandre-maskharashvili/","result":{"data":{"markdownRemark":{"html":"
Aleksandre Maskharashvili was a Post-doc at CLASP (2018-2020). He is now at Ohio State University.
","frontmatter":{"title":"Post-doc","name":"Aleksandre Maskharashvili","profileImage":null},"fields":{"slug":"/people/aleksandre-maskharashvili/"}}},"pageContext":{"slug":"/people/aleksandre-maskharashvili/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/alexander-berman/page-data.json b/page-data/people/alexander-berman/page-data.json
new file mode 100644
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--- /dev/null
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Alex Berman's research interests span across cognitive science, human-computer interaction (particularly dialogue systems), philosophy, ethics and computational creativity.
","frontmatter":{"title":"PhD Student","name":"Alexander Berman","profileImage":{"publicURL":"/static/3a41c61f3396609442c4cbc0a222cac2/AlexBerman.jpg"}},"fields":{"slug":"/people/alexander-berman/"}}},"pageContext":{"slug":"/people/alexander-berman/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/alexander-clark/page-data.json b/page-data/people/alexander-clark/page-data.json
new file mode 100644
index 0000000000..49acbc610a
--- /dev/null
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+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/alexander-clark/","result":{"data":{"markdownRemark":{"html":"
Alex Clark is a researcher in computational linguistics specialising in grammatical inference, and theoretical and mathematical approaches to unsupervised learning and their application to language acquisition. He has taught in the Computer Science department of Royal Holloway, University of London, and in the Department of Philosophy at King's College London.
","frontmatter":{"title":"Associate Researcher ","name":"Alexander Clark","profileImage":{"publicURL":"/static/d6f01737f39013b80307780fc01c7da4/Alexclark.jpg"}},"fields":{"slug":"/people/alexander-clark/"}}},"pageContext":{"slug":"/people/alexander-clark/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/aram-karimi/page-data.json b/page-data/people/aram-karimi/page-data.json
new file mode 100644
index 0000000000..a274b9678e
--- /dev/null
+++ b/page-data/people/aram-karimi/page-data.json
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I’m a researcher and programmer at CLASP. I did my master at Artificial Intelligente and Computer Science. My research focuses on deep learning and machine learning, especially in NLP fields. I’d like to study about multi task learning, dynamic learning, Computational cognitive science and neurosciences.\nNow I’m working on text recommendation using Deep Neural Network. This approach combines metrics of traditional collaborative filtering and Deep learning modelings.
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I am a PhD student in computational linguistics interested in various aspects of language-and-vision research. In particular, I study development of artificial agents, which could navigate and describe what they see, while holding a meaningful conversation with a human about their surroundings.
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Nina Tahmasebi, Senior Lecturer in Computational Linguistics at CLASP.
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diff --git a/page-data/people/page-data.json b/page-data/people/page-data.json
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Her research focuses on conversational agents that can talk and act…"}},{"person":{"fields":{"slug":"/people/tewodros-gebreselassie/"},"frontmatter":{"title":"PhD Student","name":"Tewodros Gebreselassie","profileImage":{"publicURL":"/static/74e79127ac293ae08bf8cc4c5182ed2c/Tewodros.jpg"}},"excerpt":"Tewodros Gebreselassie is a PhD Student at CLASP."}},{"person":{"fields":{"slug":"/people/vidya-somashekarappa/"},"frontmatter":{"title":"PhD Student","name":"Vidya Somashekarappa","profileImage":{"publicURL":"/static/08d447e806ec81bfb37b620b487eaf8f/Vidya-Somashekarappa.JPG"}},"excerpt":"Vidya Somashekarappa is a PhD Student at CLASP."}}],"totalCount":7},"past_members":{"people":[{"person":{"fields":{"slug":"/people/adam-ek/"},"frontmatter":{"title":"PhD student","name":"Adam Ek","profileImage":{"publicURL":"/static/5648a1cca41c5e90441fe2a06214dabd/Adam.jpg"}},"excerpt":"Adam Ek was a PhD student at CLASP."}},{"person":{"fields":{"slug":"/people/aleksandre-maskharashvili/"},"frontmatter":{"title":"Post-doc","name":"Aleksandre Maskharashvili","profileImage":null},"excerpt":"Aleksandre Maskharashvili was a Post-doc at CLASP (2018-2020). 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He is now at John Hopkins."}},{"person":{"fields":{"slug":"/people/hanna-edblom/"},"frontmatter":{"title":"Administrator","name":"Hanna Edblom","profileImage":{"publicURL":"/static/63c0ddeda4da14e3c71ea403917c58b7/hanna.jpg"}},"excerpt":"Hanna Edblom was a administrator at CLASP."}},{"person":{"fields":{"slug":"/people/iines-turunen/"},"frontmatter":{"title":"Administrator","name":"Iines Turunen","profileImage":null},"excerpt":"Iines Turunen was a administrator at CLASP."}},{"person":{"fields":{"slug":"/people/jean-philippe-bernardy/"},"frontmatter":{"title":"Researcher (Docent in Computer Science)","name":"Jean-Philippe Bernardy","profileImage":{"publicURL":"/static/d5630f35fbf62018f70e158dea56c6de/JP.jpeg"}},"excerpt":"Jean-Philippe Bernardy was a Researcher (Docent in Computer Science) at CLASP."}},{"person":{"fields":{"slug":"/people/jenny-nilsson/"},"frontmatter":{"title":"Administrator","name":"Jenny Nilsson","profileImage":{"publicURL":"/static/6dd7b242827ef9319ceeb8c955517efb/Jenny.jpg"}},"excerpt":"Jenny Nilsson was a administrator at CLASP."}},{"person":{"fields":{"slug":"/people/jenny-tu/"},"frontmatter":{"title":"Administrator","name":"Jenny Tu","profileImage":null},"excerpt":"Jenny Tu was a administrator at CLASP."}},{"person":{"fields":{"slug":"/people/julian-grove/"},"frontmatter":{"title":"Post-doc","name":"Julian Grove","profileImage":null},"excerpt":"Julian Grove was a Post-doc at CLASP (2020-2022)."}},{"person":{"fields":{"slug":"/people/kathrein-abu-kwaik/"},"frontmatter":{"title":"PhD Student","name":"Kathrein Abu Kwaik","profileImage":null},"excerpt":"Kathrein Abu Kwaik was a PhD Student at CLASP."}},{"person":{"fields":{"slug":"/people/mehdi-ghanimifard/"},"frontmatter":{"title":"PhD Student","name":"Mehdi Ghanimifard","profileImage":null},"excerpt":"Mehdi Ghanimifard was a PhD Student at CLASP."}},{"person":{"fields":{"slug":"/people/rasmus-blanck/"},"frontmatter":{"title":"Post-doc","name":"Rasmus Blanck","profileImage":null},"excerpt":"Rasmus Blanck was a Post-doc at CLASP (2018-2020)."}},{"person":{"fields":{"slug":"/people/vladislav-maraev/"},"frontmatter":{"title":"PhD Student","name":"Vladislav Maraev","profileImage":null},"excerpt":"Vladislav Maraev was a PhD Student at CLASP."}},{"person":{"fields":{"slug":"/people/wafia-adouane/"},"frontmatter":{"title":"PhD Student","name":"Wafia Adouane","profileImage":null},"excerpt":"Wafia Adouane was a PhD Student at CLASP."}},{"person":{"fields":{"slug":"/people/yuri-bizzoni/"},"frontmatter":{"title":"PhD student","name":"Yuri Bizzoni","profileImage":null},"excerpt":"Yuri Bizzoni was a PhD student at CLASP, and defended February 2019 (now in Saarbrücken)."}}],"totalCount":16},"post_docs":{"people":[{"person":{"fields":{"slug":"/people/David-Pagmar/"},"frontmatter":{"title":"Post-doc","name":"David-Pagmar","profileImage":null},"excerpt":"David Pagmar is a Post-doc at CLASP."}}],"totalCount":1}},"pageContext":{}},"staticQueryHashes":["3875542623"]}
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Rasmus Blanck was a Post-doc at CLASP (2018-2020).
","frontmatter":{"title":"Post-doc","name":"Rasmus Blanck","profileImage":null},"fields":{"slug":"/people/rasmus-blanck/"}}},"pageContext":{"slug":"/people/rasmus-blanck/"}},"staticQueryHashes":["3875542623"]}
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","frontmatter":{"title":"Acting Head","name":"Robin Cooper","profileImage":{"publicURL":"/static/9398221bde5289b29c557941bdd97bb9/Robin-Cooper3JPGcropped.JPG"}},"fields":{"slug":"/people/robin-cooper/"}}},"pageContext":{"slug":"/people/robin-cooper/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/ruth-kempson/bio/page-data.json b/page-data/people/ruth-kempson/bio/page-data.json
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Brief Biography
\n
Ruth Kempson Fellow of British Academy, Member of Academia Europaea
From 1970 to 1998 I taught Semantics at the School of Oriental and African Studies (SOAS), and from 1999-2009 I was Professor of Linguistics in the Philosophy Department of King’s College (KCL). Throughout this period I worked on the interface of syntax, semantics and pragmatics, as part of a long-term interest on the intermingling of linguistic and non-linguistic aspects of interpretation. With Wilfried Meyer-Viol and Dov Gabbay I set out the Dynamic Syntax (DS) framework, which in its development has attracted a number of people who have helped to provide substance to a radical rethinking of the foundations of language. In DS, languages are defined as systems of conditional context-dependent actions underpinning and reflecting the incrementality of all language processing, all such actions constituting affordances in the sense of Rietveld et al 2018. This emergent work has been funded by a number of research projects, in particular a collaborative project with Pat Healey and colleagues at Queen Mary University of London (QMUL), and with Wilfried Meyer-Viol at KCL: The Dynamics of Conversational Dialogue (ESRC) and a Dialogue Matters project (Leverhulme). Notable contributors to the framework amongst many others have been CLASP colleagues Eleni Gregoromichelaki, Stergios Chatzikyriakidis, and Christine Howes. This project has been a notable team effort, the sum very much more than any of us could have achieved alone: I feel honoured and delighted at having been part of such a collaborative and ever evolving project.
","frontmatter":{"title":"Associate Researcher ","name":"Ruth Kempson","profileImage":{"publicURL":"/static/1a68df6059726d5a27632d54b2d16a27/Ruth_2021.jpg"}},"fields":{"slug":"/people/ruth-kempson/bio/"}}},"pageContext":{"slug":"/people/ruth-kempson/bio/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/ruth-kempson/contact/page-data.json b/page-data/people/ruth-kempson/contact/page-data.json
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Contacts
\n
Telephone: 0044 781 754 4164
\n
Postal Address:\t67 Hendon Wood Lane, London, NW7 4HT, UK
","frontmatter":{"title":"Associate Researcher ","name":"Ruth Kempson","profileImage":{"publicURL":"/static/1a68df6059726d5a27632d54b2d16a27/Ruth_2021.jpg"}},"fields":{"slug":"/people/ruth-kempson/contact/"}}},"pageContext":{"slug":"/people/ruth-kempson/contact/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/ruth-kempson/page-data.json b/page-data/people/ruth-kempson/page-data.json
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Ruth Kempson, Fellow of the British Academy, Member of Academia Europaea
My research is broadly in linguistics as an integral part of cognitive science, with special focus on re-thinking the foundations of language in action-based terms. My special interests currently include conversational dialogue modelling, modelling grammars as mechanisms for interaction, procedural bases for syntax and semantics, nondeterminism of language content, parallels between stances adopted in ancient Indian Buddhist philosophy and current issues of debate in cognition. I was the lead developer of the Dynamic Syntax framework 2000-2020.
","frontmatter":{"title":"Associate Researcher ","name":"Ruth Kempson","profileImage":{"publicURL":"/static/1a68df6059726d5a27632d54b2d16a27/Ruth_2021.jpg"}},"fields":{"slug":"/people/ruth-kempson/"}}},"pageContext":{"slug":"/people/ruth-kempson/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/ruth-kempson/papers/page-data.json b/page-data/people/ruth-kempson/papers/page-data.json
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Recent Publications
\n
Purver, M., Sadrzadeh, M., Kempson, R., Wijnholds, G. & Hough, J. (2021). Incremental Composition in Distributional Semantics. Journal of Logic, Language and Information,
\n
Gregoromichelaki, E. Kempson, R. Howes, C. (2020) Actionism in Syntax and Semantics in Howes, C., Dobnik, S. and Breitholtz, E., (eds.) CLASP Papers in Computational Linguistics Volume 2: Dialogue and Perception - Extended papers from DaP2018 Gothenburg : GUPEA, ISSN 2002-264, http://hdl.handle.net/2077/63998
Gregoromichelaki, E., Chatzikyriakidis, S., Eshghi, A., Hough, J., Howes, C., Kempson, R. 2020). Affordance competition in dialogue: the case of syntactic universals. In Proceedings of the 24th Workshop on the Semantics and Pragmatics of Dialogue. SEMDIAL
\n
Gregoromichelaki, E. & Kempson, R (2019) Procedural Syntax. In Carston R, Clark B, & Scott K. (eds), Relevance:: Pragmatics and Interpretation. Cambridge University Press.
\n
Kempson, R., Gregoromichelaki, E., Eshghi, A., Hough, J. (2019). “Ellipsis in Dynamic Syntax” In: Jeroen van Craenenbroeck and Tanja Temmerman (eds.). The Oxford Handbook of Ellipsis. Oxford University Press.
\n
Kempson R. & Cann R. (2018) Grammar as procedures: language interaction and the predictive turn.Turner & Horn (eds) Pragmatics, Truth and Interpretation 261-99 Brill
\n
Kempson, R., Cann, R., Gregoromichelaki, E., Chatzikyriakidis, S. (2016). Language as Mechanisms for Interaction. Theoretical Linguistics, Volume 42, Issue 3-4, 203–276
\n
Kempson, R., Cann, R., Gregoromichelaki, E., Chatzikyriakidis, S. (2017). Action-based Grammar. In Theoretical Linguistics, 43(1-2), 141-167.
","frontmatter":{"title":"Associate Researcher ","name":"Ruth Kempson","profileImage":{"publicURL":"/static/1a68df6059726d5a27632d54b2d16a27/Ruth_2021.jpg"}},"fields":{"slug":"/people/ruth-kempson/papers/"}}},"pageContext":{"slug":"/people/ruth-kempson/papers/"}},"staticQueryHashes":["3875542623"]}
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Publications
\n
Books
\n
Cann, R. Kempson, R. & Marten L. (2006) The Dynamics of Language: An Introduction. Elsevier.
\n
Kempson, R. W. Meyer-Viol, & Gabbay, D. (2001) Dynamic Syntax. Blackwell.
\n
Cann, R. Kempson, R. & Gregoromichelaki, E. (2009). Semantics: An Introduction to Meaning in Language. Cambridge University Press.
\n
Kempson, R. (1977) Semantic Theory. Cambridge University Press.
\n
Kempson, R.(1975) Presupposition and the Delimitation of Semantics. Cambridge University Press.
\n
Edited Books
\n
Orwin, M, Howes, C. & Kempson, R. (eds.) (2013) Language, Music and Interaction. College Publications.
\n
Kempson , Fernando & Asher (eds.) (2012) Handbook of Philosophy of Linguistics. Elsevier.
\n
Kempson, R., Gregoromichelaki, E. & Howes, C. (2011). The Dynamics of Lexical Interfaces. Stanford Centre for the Study of Language and Information (CSLI) Publications.
\n
Cooper, R, & Kempson, R.(eds) (2008) Language in Flux: Language Change, Variation & Evolution. London Publications.
\n
Kempson, R. (ed.) (1988 ) Mental Representations: The Interface between Language and Reality. Cambridge University Press.
Gregoromichelaki, Kempson & Howes, C (2020) Actionism in syntax and semantics. In Howes, C., Dobnik, S. & Breitholtz, E. (editors), Dialogue and Perception - Extended papers from DaP2018. GUPEA.
\n
Kempson, R., Gregoromichelaki, E. & Howes, C (2019) Language as Mechanisms for Interaction: Towards an Evolutionary Tale. Language, Logic, and Computation. pp, 209-227 Springer
\n
Gregoromichelaki, E. & Kempson, R (2019). Procedural Syntax. In Carston, R., Clark, B., Scott & K. (editors), Relevance:: Pragmatics and Interpretation.. Cambridge University Press.
\n
Kempson, R., Gregoromichelaki, E., Eshghi, A., Hough, J. (2019). Ellipsis in Dynamic Syntax. In: Jeroen van Craenenbroeck and Tanja Temmerman (eds.). The Oxford Handbook of Ellipsis. Oxford University Press.
\n
Kempson, R., E. Gregoromichelaki, C. Howes (2018) Grammars as affordances for interaction. In: DaP 2018, Proceedings of the CLASP Workshop on Dialogue and Perception. Gothenburg, Sweden.
\n
Wei Liu and Ruth Kempson (2018 ) Chinese cleft structures and the dynamics of processing Proceedings of the Philological Society Vol. 116.2 91-116
\n
Kempson, R. (2017) Pragmatics: language and communication. In Aronoff, M. and Rees-Miller. J. (eds.) Handbook of Linguistics (2nd editn). pp. 417-443. Wiley.
\n
Cann, R. and Kempson, R.(2017) What do words do for us?. Dialectica 71:425-470
\n
Kempson, R. (2017) Shifting concepts of language: meeting the challenge of modelling interactive syntax. In Weigand, E. ed. The Routledge Handbook of Language and Dialogue Pp. 197-213. Routledge.
\n
Gregoromichelaki E., C., Howes, M. Purver, R. Kempson, A. Eshghi, R. Cann, P. Healey and G. Mills. (2017) Completability vs (In)completeness In the BICLCE 2017 workshop Approaches to Fragments and Ellipsis in Spoken and Written English, Vigo, September 2017.
\n
Kempson, R., Chatzikyriakidis, S. & Howes, C (2017). Cognitive science, language as a tool for interaction, and a new look at language evolution. In Howes, C. & Rieser, H. (editors), Proceedings of the workshop on Formal Approaches to the Dynamics of Linguistic Interaction (FADLI), pages 32-36. CEUR Workshop Proceedings.
\n
Kempson, R., Cann, R., Gregoromichelaki, E., Chatzikyriakidis, S. (2017). Action-based Grammar. In Theoretical Linguistics, 43(1-2), 141-167.
\n
Kempson, R. and Gregoromichelaki, E. (2017). Action sequences instead of representational levels (Commentary on Branigan and Pickering). Behavioural and Brain Sciences, 40, E296. doi:10.1017/S0140525X17000449
\n
Kempson, R., Cann, R., Gregoromichelaki, E., Chatzikyriakidis, S. (2016). Language as Mechanisms for Interaction. Theoretical Linguistics, Volume 42, Issue 3-4, 203–276
\n
Gregoromichelaki, E. and Kempson, R. (2016). Reporting, Dialogue, and the Role of Grammar In: Alessandro Capone, Ferenc Kiefer and Franco Lo Piparo (eds.) Indirect Reports and Pragmatics: Interdisciplinary Studies, Springer.
\n
Kempson, R. (2016) Syntax as the dynamics of language understanding. In Allan, K. (ed.) The Routledge Handbook of Linguistics, pp.135-152. Rouotledge.
\n
Kempson, R., Cann, R., Eshghi, A., Gregoromichelaki, E. & Purver, M (2015). Ellipsis. In Lappin, S., Fox & C. (editors), Handbook of Contemporary Semantic Theory. Wiley
\n
Gregoromichelaki, E. and Kempson, R. (2015) Joint utterances and the (Split-)Turn Taking Puzzle.In: Jacob L. Mey & Alessandro Capone (eds.) Interdisciplinary studies in Pragmatics, Culture and Society Heidelberg, Springer.
\n
Kempson, R. Cann, R. & Chatzikyriakidis, S. (2015) Language as mechanisms for interaction: Syntax as procedures for online interactive meaning building (commentary on Christiansen & Chater The Now-or-Never Bottleneck). Brain & Behavioral Science, 39, 35-36
\n
Chatzikyriakidis, S., Gregoromichelaki, E., and Kempson, R. (2015) Language as a set of\nmechanisms for interaction. In R. Kempson, Robin Cooper, Matthew Purver (eds.) Proceedings of IWCS 2015, Queen Mary University of London, April 2015.
\n
Gregoromichelaki, E., Kempson, R, Howes, C. Eshghi, A. (2013) On making syntax dynamic: the challenge of compound utterances and the architecture of the grammar. In: Ipke Wachsmuth, Jan de Ruiter, Petra Jaecks, and Stefan Kopp (eds.): Alignment in Communication: Towards a New Theory of Communication. John Benjamins, Advances in Interaction Studies
\n
Gregoromichelaki, E. and Kempson, R. (2013). The role of intentions in dialogue processing. In: A. Capone, F. Lo Piparo and M. Carapezza (eds.) Perspectives on Linguistic Pragmatics, series Perspectives in Pragmatics, Philosophy & Psychology, Vol. 2, Springer.
\n
Kempson, R., Cann, R., Eshghi, A., Gregoromichelaki, E. & Purver, M (2015). Ellipsis. In Lappin, S, & Fox,C. (eds.), Handbook of Contemporary Semantic Theory. Wiley.
\n
Gregoromichelaki, E. and Kempson, R. (2015) Joint utterances and the (Split-)Turn Taking Puzzle. In: Jacob L. Mey & Alessandro Capone (eds.) Interdisciplinary studies in Pragmatics, Culture and Society Heidelberg, Springer.
\n
Chatzikyriakidis, S., Gregoromichelaki, E., and Kempson, R. (2015) Language as a set of\nmechanisms for interaction. In R. Kempson, R. Cooper, M. Purver (eds.) Proceedings of IWCS 2015, Queen Mary University of London, April 2015.
\n
Gregoromichelaki, E., Kempson, R, Howes, C. Eshghi, A. (2013) On making syntax dynamic: the challenge of compound utterances and the architecture of the grammar. In: Ipke Wachsmuth, Jan de Ruiter, Petra Jaecks, and Stefan Kopp (eds.): Alignment in Communication: Towards a New Theory of Communication. John Benjamins, \"Advances in Interaction Studies\"
\n
Gregoromichelaki, E. and Kempson, R. (2013). The role of intentions in dialogue processing. In: A. Capone, F. Lo Piparo and M. Carapezza (eds.) Perspectives on Linguistic Pragmatics, series Perspectives in Pragmatics, Philosophy & Psychology, Vol. 2, Springer.
\n
Gregoromichelaki, E., Cann R. and Kempson, R. (2013). Coordination in dialogue: subsentential speech and its implications. In: Goldstein, L. (ed.) Brevity Oxford University Press
\n
Kempson & Orwin (2013) Language and music as mechanisms for interaction. In Orwin, M, Howes C. and Kempson, R. (eds.) 2013. Language, Music and Interaction. College Publications.
\n
Howes, C., P. G. T. Healey, R. Kempson, and E. Gregoromichelaki. (2013) “When can you finish someone else’s . . . ?” - influencing the production of compound contributions in dialogue. In: Proceedings of the Workshop on Discourse Expectations: Theoretical, Experimental, and Computational Perspectives, Tübingen, Germany, 2013.
\n
Kempson,R. Cann.R. & Wedgwood,D. (2012) Representationalism and linguistic knowledge. In Kempson,R. Fernando, T. & Asher,R. (eds.) Handbook of Philosophy of Linguistics. pp. 357-402 Elsevier.
\n
Chatzikyriakidis, S. and Kempson, R. (2011) Standard Modern and Pontic Greek person restrictions: A feature-free dynamic account. Journal of Greek Linguistics, 11.2
\n
Gregoromichelaki, E., Kempson, R. and Cann, R. (2012). Language as tools for interaction: Grammar and the dynamics of ellipsis resolution. The Linguistic Review, Vol. 29, No. 4, 563-584.
\n
Kempson, R., Gregoromichelaki, E. and Cann, R. (2012). Context and Compositionality: the Challenge of Conversational Dialogue. In: Stalmaszczyk, Piotr (ed.) Philosophical and Formal Approaches to Linguistic Analysis pp: 215–240, Ontos Verlag.
\n
Kempson, R., Gregoromichelaki, E. and Chatzikyriakidis, S. (2012) Joint utterances in Greek: their implications for linguistic modelling. In: Proceedings of 33rd Annual Linguistics Meeting “Syntactic Theories and the Syntax of Greek”. Thessaloniki, 26-27 April 2012.
\n
Eshghi, A., Hough, J., Purver, M., Kempson, R., Gregoromichelaki, E. (2012). Conversational Interactions: Capturing Dialogue Dynamics. In: L. Borin and S. Larsson (eds.), From Quantification to Conversation. College Publications.
\n
Kempson, R., Gregoromichelaki, E., R. Cann. (2011) Languages as mechanisms for conversational interaction. In: Proceedings of PhiLang 2011 Second International Conference on Philosophy of Language and Linguistics University of Lodz (Poland), 12-14 May 2011.
\n
Gregoromichelaki, E., Kempson, R., Purver, M., Mills, G. and Cann, R. (2011) Incrementality and intention-recognition in utterance processing. In: Dialogue and Discourse 2,1 special issue on Incrementality in Dialogue.
\n
Kempson, R., Gregoromichelaki, E., Meyer-Viol, W., Purver, M., White, G., Cann, R. (2011) Natural-language syntax as procedures for interpretation: the dynamics of ellipsis construal. In: Alain Lecomte, Samuel Tronçon (eds.) Ludics, Dialogue and Interaction, Lecture Notes in Computer Science. Springer
\n
Eshghi, A, P. Healey, M. Purver, C. Howes, E. Gregoromichelaki and R. Kempson. (2010)\nIncremental turn processing in dialogue. In Architectures and Mechanisms for Language Processing, AMLAP, 2010, York, UK, September 2010.
\n
Kempson, R., Gregoromichelaki, E., Mills, G., Purver, M., Howes, C. and Healey, P. G. T. (2010) On Dialogue Modelling, Language Processing Dynamics, and Linguistic Knowledge. In: Proceedings of Linguistic Evidence 2010, Tübingen, Germany.
\n
Kempson R. and Kiaer, J (2010) Multiple long-distance scrambling: syntax as reflections of processing. Journal of Linguistics 46: 127-92.
\n
Gargett, A., Gregoromichelaki, E., Kempson, R., Purver, M. and Sato, Y. (2009) Grammar Resources for Modelling Dialogue Dynamically Journal of Cognitive Neurodynamics 3(4), pages 347-363, 2009.
\n
Kempson, R. and Kurosawa, A (2009). At the syntax-pragmatics Interface: Japanese relative clause construal. In: Hoshi, H. (ed.) The Dynamics of the Language Faculty, Kuroshio, Tokyo
\n
Kempson, R., Gregoromichelaki, E., Purver, M. Mills, G., Gargett, A. Howes, C. (2009). How mechanistic can accounts of interaction be? In Proceedings of DiaHolmia, 13th Workshop on the Semantics and Pragmatics of Dialogue.
\n
Kempson, R., Gregoromichelaki, E. and Sato, Y. (2009) Incrementality, speaker/hearer switching and the disambiguation challenge. Proceedings of 12th Conference of the European Association of Computational Linguistics.
\n
Gregoromichelaki, E., Sato, Y., Kempson, R. Gargett, A. and Howes, C. (2009) Dialogue modelling and the remit of core grammar. In Proceedings of IWCS, Eighth International Conference on Computational Semantics.
\n
Kempson, R. Gregoromichelaki, E. Meyer-Viol, W., Purver, M., White, G. and Cann, R. (2009). Natural-language syntax as procedures for Interpretation: the dynamics of ellipsis construal. In: Proceedings of the PRELUDE Workshop on Games, Dialogues and Interaction, Paris.
\n
Kempson, R., Gargett, A., Gregoromichelaki, E., Howes, C., Sato, Y. (2008) Towards a unified account of ellipsis: syntax as time-linear building of semantic representations. Proceedings of ESSLLI Workshop: What Syntax Feeds Semantics. Hamburg, Germany.
\n
Cann, R. Kempson,R. Purver.M. (2007) Context and well-formedness: dynamics of ellipsis. Research on Language & Computation 5.1.
","frontmatter":{"title":"Associate Researcher ","name":"Ruth Kempson","profileImage":{"publicURL":"/static/1a68df6059726d5a27632d54b2d16a27/Ruth_2021.jpg"}},"fields":{"slug":"/people/ruth-kempson/publications/"}}},"pageContext":{"slug":"/people/ruth-kempson/publications/"}},"staticQueryHashes":["3875542623"]}
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Shalom Lappin
\n
Professor of Computational Linguistics \nUniversity of Gothenburg \nshalom.lappin@gu.se
\n
Professor of Natural Language Processing \nSchool of Electronic Engineering and Computer Science \nQueen Mary University of London \ns.lappin@qmul.ac.uk
\n
Emeritus Professor of Computational Linguistics \nKing's College London \nshalom.lappin@kcl.ac.uk
","frontmatter":{"title":"Professor","name":"Shalom Lappin","profileImage":{"publicURL":"/static/9b4bba473639fff2a4121009cb4e9857/shalomlappin.jpg"}},"fields":{"slug":"/people/shalom-lappin/contact/"}}},"pageContext":{"slug":"/people/shalom-lappin/contact/"}},"staticQueryHashes":["3875542623"]}
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Shalom Lappin's research is in computational linguistics with a focus on the application of probabilistic models to issues in syntax, semantics, and grammar induction. He is currently the chief scientific advisor in CLASP.
","frontmatter":{"title":"Chief Scientist","name":"Shalom Lappin","profileImage":{"publicURL":"/static/9b4bba473639fff2a4121009cb4e9857/shalomlappin.jpg"}},"fields":{"slug":"/people/shalom-lappin/"}}},"pageContext":{"slug":"/people/shalom-lappin/"}},"staticQueryHashes":["3875542623"]}
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Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom\nLappin, and Aleksandre Maskharashvili (2022), Bayesian Inference Semantics for\nNatural Language in Jean-Philippe Bernardy, Rasmus Blanck,\nStergios Chatzikyriakidis, Shalom Lappin, and Aleksandre Maskharashvili (eds.),\nProbabilistic Approaches to Linguistic Theory, CSLI Publications, Stanford CA,\npp. 161-228.
\n
Jean-Philippe Bernardy and Shalom Lappin (2022), Assessing the Unitary RNN as an\nEnd-to-End Compositional Model of Syntax in M. Moortgat\nand G. Wijnholds (eds), End-to-End Compositional Models of Vector-Based Semantics,\n2022 (E2ECOMPVEC), Electronic Proceedings in Theoretical Computer Science 366.4,\n2022, pp. 9–22.
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom\nLappin, and Aleksandre Maskharashvili (2019), Predicates as Boxes in\nBayesian Semantics for Natural\nLanguage,\nProceedings of the 22nd Nordic Conference on Computational\nLinguistics, September 30-October 2, Turku, Finland, Linköping\nUniversity Electronic Press, pp. 333-337.
\n
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis. Shalom\nLappin, and Aleksandre Maskharashvili (2019), Bayesian Inference\nSemantics: A Modelling System and A Test\nSuite,\nProceedings of the Eighth Joint Conference on Lexical and Computational\nSemantics (\\SEM)*, pages 263--272 Minneapolis, July 6--7, 2019.
\n
Yuri Bizzoni and Shalom Lappin (2019), Predicting Metaphor Paraphrase\nJudgements in\nContext,\nProceedings of the 13th International Conference on Computational\nSemantics 2019 - Long Papers, University of Gothenburg, May 2019, pp.\n165-174.
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, and\nShalom Lappin (2018), A Compositional Bayesian Semantics for Natural\nLanguage,\nProceedings of the First International Workshop on Language Cognition\nand Computational Models, COLING 2018, Santa Fe, New Mexico, August 20,\n2018, pp. 1-10.
Jean-Philippe Bernardy, Shalom Lappin, and Jey Han Lau (2018),The\nInfluence of Context on Sentence Acceptability\nJudgements, Proceedings\nof the 56th Annual Meeting of the Association for Computational\nLinguistics(Short Papers), Melbourne, Australia, July 2018.
Jean-Philippe Bernardy and Shalom Lappin (2017), Learning Agreement\nwith Deep Neural\nNetworks,\nIsrael Seminar on Computational Linguistics, Hebrew University of\nJerusalem, September 2017.
\n
Devdatt Dubhash and Shalom Lappin (2017), AI Dangers: Imagined and\nReal,\nCommunications of the ACM, Vol 60. No. 2, February 2017, pp. 43-45.
Lau, J.H., A. Clark, and S. Lappin (2015), Unsupervised Prediction of\nAcceptability\nJudgements,\nProceedings of the 53rd Annual Conference of the Association of\nComputational Linguistics, Beijing, July 2015, pp. 1618-1628.
Cooper, R., S. Dobnik, S. Lappin, and S. Larsson (2014), A\nProbabilistic Rich Type Theory for Semantic\nInterpretation,\nProceedings of the EACL 2014 Workshop on Type Theory and Natural\nLanguage Semantics (TTNLS), Gothenburg, April 2014, pp. 72¿79.
Clark, A., G. Giorgolo, and S. Lappin (2013), Towards a Statistical\nModel of\nGrammaticality,\nProceedings of the 35^th^ Annual Conference of the Cognitive Science\nSociety, Berlin, July-August 2013, pp. 2064-2069.
Clark, A. and S. Lappin (2012), Computational Learning Theory and\nLanguage\nAcquisition\nin R. Kempson, N. Asher, and T. Fernando (eds.),Handbook of the\nPhilosophy of Science, Volume 14: Philosophy of Linguistics, Elsevier,\nOxford, pp. 445-475.
\n
van Eijck, J. and S. Lappin (2012), Probabilistic Semantics for Natural\nLanguage,\nin Z. Christoff, P. Galeazzi, N. Gierasimszuk, A. Marcoci, and S. Smets\n(eds.),Logic and Interactive Rationality (LIRA) 2012, Volume 2, ILLC,\nUniversity of Amsterdam, pp. 17-35.
Joachim Lambek, pp. 385-417 (information about this volume of\nLinguistic Analysis is available from info@linguisticanalysis.com).
\n
Clark, A. and S. Lappin (2010), Unsupervised Learning and Grammar\nInduction\nin A. Clark, C. Fox, and S. Lappin (eds.), The Handbook of\nComputational Linguistics and Natural Language Processing,\nWiley-Blackwell, Malden MA and Oxford, pp. 197-220.
\n
Clark, A. and S. Lappin (2009), Another Look at Indirect Negative\nEvidence,\nProceedings of the EACL Workshop on Cognitive Aspects of Computational\nLanguage Acquisition, Athens, March 2009, pp. 26-33.
Fernandez, R., J. Ginzburg, H. Gregory, and S. Lappin (2007), SHARDS:\nFragment Resolution in\nDialogue\nin H. Bunt and R. Muskens (eds.), Computing Meaning Vol. 3, Springer,\npp. 125-144.
Lappin, S. (2005), A Sequenced Model of Anaphora and Ellipsis\nResolution\nin A. Branco, A, McEnery, and R. Mitkov (eds.), Anaphora Processing:\nLinguistic, Cognitive, and Computational Modelling, John Benjamins,\nAmsterdam, pp. 3-16.
Ebert, C., S. Lappin, H. Gregory, and N. Nicolov (2003), Full\nParapharase Generation for Fragments in\nDialogue\nin J. van Kuppevelt and R. Smith (eds.), Current and New Directions in\nDiscourse and Dialogue, Kluwer, pp.161-181.
Fox, C., S. Lappin, and C. Pollard (2002), Intensional First-Order\nLogic with\nTypes\nin G. Alberti, K. Balough, and P. Dekker (eds.), Proceedings of the\nSeventh Symposium for Logic and Language, Pecs, Hungary, pp. 47-56.
","frontmatter":{"title":"Professor","name":"Shalom Lappin","profileImage":{"publicURL":"/static/9b4bba473639fff2a4121009cb4e9857/shalomlappin.jpg"}},"fields":{"slug":"/people/shalom-lappin/papers/"}}},"pageContext":{"slug":"/people/shalom-lappin/papers/"}},"staticQueryHashes":["3875542623"]}
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In this research project we are focussing on the problem of how to\nspecify the class of representations that encode human knowledge of the\nsyntax of natural languages. We are pursuing the hypothesis that a\nrepresentation in this class is best expressed as an enriched\nstatistical language model that assigns probability values to the\nsentences of a language. A central part of the enrichment of the model\nconsists of a procedure for determining the acceptability\n(grammaticality) of a sentence as a graded value, relative to the\nproperties of that sentence and the language of which it is a part. This\nprocedure avoids the simple reduction of the grammaticality of a string\nto its probability of occurrence, while still characterizing\ngrammaticality in probabilistic terms. An enriched model of this kind\nwill provide a straightforward explanation for the fact that individual\nnative speakers generally judge the well formedness of sentences along a\ncontinuum, rather than through the imposition of a sharp boundary\nbetween acceptable and unacceptable sentences. The pervasiveness of\ngradedness in the linguistic knowledge of individual speakers poses a\nserious problem for classical theories of syntax, which partition\nstrings of words into the grammatical sentences of a language and ill\nformed strings of words.
\n
This research holds out the prospect of important impact in two areas.\nFirst, it can shed light on the relationship between the representation\nand acquisition of linguistic knowledge on one hand, and learning and\nthe encoding of knowledge in other cognitive domains. This work can, in\nturn, help to clarify the respective roles of biologically conditioned\nlearning biases and data driven learning in human cognition.
\n
Second, this work can contribute to the development of more effective\nlanguage technology by providing insight, from a computational\nperspective, into the way in which humans represent the syntactic\nproperties of sentences in their language. To the extent that natural\nlanguage processing systems take account of this class of\nrepresentations they will provide more efficient tools for parsing and\ninterpreting text and speech.
","frontmatter":{"title":"Professor","name":"Shalom Lappin","profileImage":{"publicURL":"/static/9b4bba473639fff2a4121009cb4e9857/shalomlappin.jpg"}},"fields":{"slug":"/people/shalom-lappin/projects/"}}},"pageContext":{"slug":"/people/shalom-lappin/projects/"}},"staticQueryHashes":["3875542623"]}
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Maribel Fernandez, Chris Fox, and Shalom Lappin (2008), special\nissue of Journal of Logic and Computation on lambda calculus, type\ntheory, and natural language II, Vol 18, No. 2.
\n
Maribel Fernandez, Chris Fox, and Shalom Lappin (2005), special\nissue of Journal of Logic and Computation on lambda calculus, type\ntheory, and natural language I, Vol 15, No. 2.
\n
Ruslan Mitkov, Bran Bugraev, and Shalom Lappin (2001), special issue\nof Computational Linguistics on anaphora resolution, vol 27,\nNo. 4.
\n
Shalom Lappin (ed.) (1988), Special issue of Linguistics, with an\nintroduction on the syntax and semantics of NP's, Vol. 26, No. 6.
\n
\n
ARTICLES IN REFEREED JOURNALS
\n
\n
Shalom Lappin (to appear), \"Assessing the Strengths and Weaknesses of\nLarge Language Models\", Jourrnal of Logic, Language and Information,\nspecial issue Natural Logic Meets Machine Learning.
\n
Jey Han Lau, Carlos Armendariz, Shalom Lappin, Matthew Purver, and\nChang Shu (2020), \"How Furiously Can Colorless Green Ideas Sleep?\nSentence Acceptability in Context\", Transactions of the\nAssociation for Computational Linguistics 8, pp. 296--310.
\n
Jean-Philippe Bernardy and Shalom Lappin (2017), \"Using Deep Neural\nNetworks to Learn Syntactic Agreement\", Linguistic Issues in\nLanguage Technology 15.2, pp. 1-15.
\n
Devdatt Dubhash and Shalom Lappin (2017), \"AI Dangers: Imagined and\nReal\", Communications of the ACM, Vol 60. No. 2, February 2017, pp.\n43-45.
\n
Jey Han Lau, Alexander Clark, and Shalom Lappin (2016),\n\"Grammaticality, Acceptability, and Probability: A Probabilistic View\nof Linguistic Knowledge\", Cognitive Science.
\n
Robin Cooper, Simon Dobnik, Shalom Lappin, and Staffan Larsson\n(2015), \"Probabilistic Type Theory and Natural Language Semantics\",\nLinguistic Issues in Language Technology 10, pp. 1-43.
\n
Chris Fox and Shalom Lappin (2015), \"Type-Theoretic Logic with an\nOperational Account of Intensionality\", Synthèse 192, pp.\n563-584.
\n
Shalom Lappin (2013), \"Intensions as Computable Functions\",\nLinguistic Issues in Language Technology 9, pp. 1-12.
\n
Alexander Clark and Shalom Lappin (2013), \"Complexity in Language\nAcquisition\", Topics in Cognitive Science 5, Special Issue on\nFormal Learning Theory edited by Sean Fulop and Nick Chater, pp.\n89-110.
\n
Chris Fox and Shalom Lappin (2010), \"Expressiveness and Complexity\nin Underspecified Semantics\", Linguistic Analysis 36.
\n
Raquel Fernandez, Jonathan Ginzburg, and Shalom Lappin (2007),\n\"Classifying Non-Sentential Utterances in Dialogue: A Machine\nLearning Approach\", Computational Linguistics 33, No. 3, pp.\n397-427.
\n
Shalom Lappin and Stuart Shieber (2007), \"Machine Learning Theory\nand Practice as a Source of Insight into Universal Grammar\",\nJournal of Linguistics 43, pp. 393-427.
\n
Chris Fox and Shalom Lappin (2005), \"Underspecified Intepretation\nin a Curry-Typed Representation Language\", Journal of Logic and\nComputation, pp.131-143.
\n
Chris Fox and Shalom Lappin (2004), \"An Expressive First-Order\nLogic with Flexible Typing for Natural Language Semantics\", Logic\nJournal of the International Group for Pure and Applied Logic 12,\n2004, pp. 135-168.
\n
Shalom Lappin, Robert Levine and David Johnson (2001), \"The\nRevolution Maximally Confused\", Natural Language and Linguistic\nTheory 19, pp. 901-919.
\n
Shalom Lappin (2000), \"An Intensional Parametric Semantics for\nVague Quantifiers\", Linguistics and Philosophy 23, pp. 599-620.
\n
Shalom Lappin, Robert Levine and David Johnson (2000), \"The\nRevolution Confused: A Response to Our Critics\", Natural Language\nand Linguistic Theory 18, pp. 873-890
\n
Shalom Lappin, Robert Levine and David Johnson (2000), \"The\nStructure of Unscientific Revolutions\", Natural Language and\nLinguistic Theory 18, pp. 665-771.
\n
David Johnson and Shalom Lappin (1997), \"A Critique of the\nMinimalist Program\", Linguistics and Philosophy 20, pp. 273-333.
\n
Shalom Lappin (1996), \"Generalized Quantifiers, Exception Phrases,\nand Logicality \", The Journal of Semantics 13, pp. 197-220.
\n
Ido Dagan, John Justeson, Shalom Lappin, Herbert Leass, and Amnon\nRibak (1995), \"Syntax and Lexical Statistics in Anaphora\nResolution\", Applied Artificial Intelligence 9, pp. 633-644.
\n
Shalom Lappin and Herbert Leass (1994), \"A Syntactically Based\nAlgorithm for Pronominal Anaphora Resolution, Computational\nLinguistics 20, pp. 535-561.
\n
Shalom Lappin and Nissim Francez (1994), \"E-Type Pronouns, I-Sums,\nand Donkey Anaphora\", Linguistics and Philosophy 17, pp. 391-428.
\n
Shalom Lappin and U. Shlonsky (1993), \"Impersonal Passives\",\nLinguistics 31, pp. 5---24.
\n
Michael McCord, Arendse Bernth, Shalom Lappin, and Wlodek. Zadrozny\n(1992), \"Natural Language Processing within the Slot Grammar\nFramework\", International Journal of Tools for Artificial\nIntelligence 1, pp. 229---277.
\n
Shalom Lappin and Michael McCord (1990), \"Anaphora Resolution in\nSlot Grammar\", Computational Linguistics 16, pp. 197---212.
\n
Shalom Lappin (1989), \"Donkey Pronouns Unbound\", Theoretical\nLinguistics 15, pp. 263---286
\n
Shalom Lappin and T. Reinhart (1988), \"Presuppositional Effects of\nStrong Determiners: A Processing Account\", Linguistics, special\nissue on the syntax and semantics of NP's, Vol. 26, No. 6, pp.\n1021---137.
\n
Shalom Lappin (1988), \"The Semantics of 'Many' as a Weak\nDeterminer\", Linguistics, special issue on the syntax and\nsemantics of NP's, Vol. 26, No. 6, pp. 977---998.
\n
Nomi Erteschik\"Shir and Shalom Lappin (1987), \"Dominance and\nModularity\", Linguistics 25, pp. 671---685.
\n
Shalom Lappin (1985), \"Pronominal Binding and Coreference\",\nTheoretical Linguistics 12, pp. 241---263.
\n
Shalom Lappin (1984), \"VP Anaphora, Quantifier Scope, and Logical\nForm\" Linguistic Analysis 13, pp. 273-315.
\n
Nomi Erteschik\"Shir and Shalom Lappin (1983), \"Under Stress: A\nFunctional Explanation of English Sentence Stress\", Journal of\nLinguistics 19, pp. 419---453.
\n
Nomi Erteschik\"Shir and Shalom Lappin (1983), \"Dominance and\nExtraction: Reply to A. Grosu\", Theoretical Linguistics 10, pp.\n81---96.
\n
Shalom Lappin (1982), \"Quantified Noun Phrases and Pronouns in\nLogical Form\", Linguistic Analysis 10, pp. 131---159.
\n
Shalom Lappin (1982), \"On the Pragmatics of Mood\", Linguistics\nand Philosophy 4, pp. 559---578.
\n
Shalom Lappin (1982), \"Classical Logic and Existentially Quantified\nNoun Phrases\", Theoretical Linguistics 7, pp. 145---155.
\n
Shalom Lappin (1980), \"Why One Ought to Care about Identity across\nPossible Worlds in Moral Judgements: Reply to Freundlich\", Ratio,\nVol. XXII, No. 2, pp.167---169.
\n
Nomi Erteschik\"Shir and Shalom Lappin (1979), \"Dominance and the\nFunctional Explanation of Island Phenomena\", Theoretical\nLinguistics 6, pp. 41---86.
\n
Shalom Lappin (1978), \"Sortal Incorrectness, Bivalence, and\nClassical Validity\", Manuscrito, Vol. II, No. 1, pp. 89---104.
\n
Shalom Lappin (1978), \"Moral Judgements and Identity across\nPossible Worlds\", Ratio, Vol. XX, No. 1, pp. 69---74. (An earlier\nversion of this paper appeared in Hebrew in M. Dascal (ed.) (1978),\nHa-Tzodek ve Ha\"Bilti-Tzodek, University Publishing Projects, Tel\nAviv, pp. 173-178.)
\n
Shalom Lappin (1976), \"Goodman and Katz on Synonymy\",\nPhilosophical Studies 29, pp. 279---281.
\n
\n
CHAPTERS IN BOOKS
\n
\n
Jean-Philippe Bernardy and Shalom Lappin (2023), \"Unitary Recurrent\nNetworks: Algebraic and Linear Structures for Syntax\" in Shalom Lappin\nand Jean-Philippe Bernardy (eds.), Algebraic Structures in Natural Language,\nCRC Press, Taylor and Francis, Boca Raton and Oxford, pp. 243-277.
\n
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin,\nand Aleksandre Maskharashvili (2022), \"Bayesian Inference Semantics for Natural\nLanguage\" in Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis,\nShalom Lappin, and Aleksandre Maskharashvili (eds), Probabilistic Approaches\nto Linguistic Theory, CSLI Publications, Stanford CA, pp. 161-228.
\n
Shalom Lappin (2015), \"Curry Typing, Polymorphism, and Fine-Grained\nIntensionality\" in Shalom Lappin and Chris Fox (eds.), The\nHandbook of Contemporary Semantic Theory, Second Edition,\nWiley-Blackwell, Oxford and Malden MA, pp. 408-428.
\n
Jan van Eijck, and S. Lappin (2012), \"Probabilistic Semantics for\nNatural Language\" in Z. Christoff, P. Galeazzi, N. Gierasimszuk, A.\nMarcoci, and S. Smets (eds.), Logic and Interactive Rationality\n(LIRA) 2012, Volume 2, ILLC, University of Amsterdam, pp. 17-35.
\n
Alexander Clark and Shalom Lappin (2012), \"Computational Learning\nTheory and Language Acquisition\" in Ruth Kempson, Tim Fernando, and\nNicholas Asher (eds.), Handbook of the Philosophy of Science,\nVolume 14: Philosophy of Linguistics, Elsevier, Oxford, pp.\n441-471.
\n
Alexander Clark and Shalom Lappin (2010), \"Unsupervised Learning\nand Grammar Induction\" in Alexander Clark, Chris Fox, and Shalom\nLappin (eds.), The Handbook of Computational Linguistics and\nNatural Language Processing, Wiley-Blackwell, Malden MA and Oxford,\npp. 197-220.
\n
Raquel Fernandez, Jonathan Ginzburg, Howard Gregory, and Shalom\nLappin (2007),\"SHARDS: Fragment Resolution in Dialogue\" in H. Bunt\nand R. Muskens (eds.), Computing Meaning Vol 3, Springer, Berlin\nand New York, pp. 125-144.
\n
Chris Fox and Shalom Lappin (2005), \"Polymorphic Quantifiers and\nUnderspecification in Natural Language\" in S. Artemov, H.\nBarringer, A. d\"Avilla Garcez, L. Lamb, and J. Woods (eds.), We\nWill Show Them: Essays in Honour of Dov Gabbay, Vol 1, College\nPublications, London, pp. 687-700.
\n
Shalom Lappin (2005), \"A Sequenced Model of Anaphora and Ellipsis\nResolution\" in A. Branco, A, McEnery, and R. Mitkov (eds.),\nAnaphora Processing: Linguistic, Cognitive, and Computational\nModelling, John Benjamins, Amsterdam, pp. 3-16.
\n
Christian Ebert, Howard Gregory, Shalom Lappin, and Nicolas Nicolo\n(2003), \"Full Paraphrases for Fragments in Dialogue\" in J. van\nKuppevelt, and R. Smith (eds.), Current and New Directions in\nDiscourse and Dialogue, Kluwer, pp.161-181.
\n
Shalom Lappin (2003), \"Semantics\" in R. Mitkov (ed.), The\nHandbook of Computational Linguistics, Oxford University Press,\nOxford, pp. 91-111.
\n
Chris Fox and Shalom Lappin (2001), \"A Framework for the\nHyperintensional Semantics of Natural Language with Two\nImplementations\" in Groote, P. de, G. Morrill, and C. Retore\n(eds.), Logical Aspects of Computational Linguistics, Springer\nLecture Notes in Artificial Intelligence, Berlin and New York, pp.\n175-192.
\n
Shalom Lappin (2000), \"An Introduction to Formal Semantics\" in M.\nAronoff and J. Rees-Miller (eds.), The Blackwell Handbook of\nLinguistics, Blackwell, Oxford, pp. 369-393.
\n
Shalom Lappin (2000), \"Logicality and Semantic Types for Natural\nLanguage\" in H. Bennis, M. Everaert, and E. Reuland (eds.),\nInterface Strategies, Royal Dutch Academy of Sciences, Amsterdam,\npp. 223-238.
\n
Howard Gregory and Shalom Lappin (1999), \"Antecedent Contained\nEllipsis in HPSG\" in G. Webelhuth, J.P. Koenig, and A. Kathol\n(eds.), Lexical and Constructional Aspects of Linguistic\nExplanation, CSLI, Stanford, CA, pp. 331-356.
\n
Shalom Lappn (1999), \"An HPSG Account of Antecedent Contained\nEllipsis\" in S. Lappin and E. Benmamoun (eds.), Fragments: Studies\nin Ellipsis and Gapping, Oxford University Press, New York, pp.\n68-97.
\n
Shalom Lappin (1996), \"The Interpretation of Ellipsis\" in S.\nLappin (ed.), The Handbook of Contemporary Semantic Theory,\nBlackwell, Oxford, pp. 145-175.
\n
Shalom Lappin (1993), \"||Many|| as a Two\"Place Determiner\nFunction\" in J. Yan and M. Cobb (ed)., SOAS Working Papers in\nLinguistics, pp. 337-358.
\n
Shalom Lappin (1991), \"Concepts of Logical Form in Linguistics and\nPhilosophy\" in Asa Kasher (ed.), The Chomskyian Turn, Blackwell,\nOxford, pp. 300---333.
\n
Shalom Lappin (1983), \"Truth, Correspondence, and Meaning\" (in\nHebrew) in L. Rauch (ed.), Readings in Contemporary Philosophy,\nYachdav, Tel Aviv, pp. 97---115.
\n
Shalom Lappin (1979), \"Spinoza's Theory of Innate Ideas\" (in\nHebrew) in M. Brinker, M. Dascal, and D. Nesher (eds.), Baruch\nSpinoza, University Publishing Projects, Tel Aviv, pp.53---59.
\n
\n
PAPERS IN CONFERENCE PROCEEDINGS
\n
\n
Jean-Philippe Bernardy and Shalom Lappin (2022), \"Assessing the Unitary\nRNN as an End-to-End Compositional Model of Syntax\" in M. Moortgat and\nG. Wijnholds (eds), End-to-End Compositional Models of Vector-Based Semantics,\n2022 (E2ECOMPVEC), Electronic Proceedings in Theoretical Computer Science\n366.4, 2022, pp. 9–22.
\n
Jean-Philippe Bernardy and Shalom Lappin (2022), \"A Neural Model for\nCompositional Word Embeddings and Sentence Processing\", Proceedings\nof the Workshop on Cognitive Modeling and Computational Linguistics,\nMay 26, 2022, Dublin, Association of Computational Linguistics, pp. 12--22.
\n
Adam Ek, Jean-Philippe Bernardy, and Shalom Lappin (2019),\n\"Language Modeling with Syntactic and Semantic Representation for\nSentence Acceptability Predictions\", Proceedings of the 22nd\nNordic Conference on Computational Linguistics, September\n30-October 2, \nTurku, Finland, Linköping University Electronic Press, pp. 76-85.
\n
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis.\nShalom Lappin, and Aleksandre Maskharashvili (2019), \"Predicates as\nBoxes in Bayesian Semantics for Natural Language\", Proceedings of\nthe 22nd Nordic Conference on Computational Linguistics, September\n30-October 2, Turku, Finland, Linköping University Electronic Press,\npp. 333-337.
\n
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis.\nShalom Lappin, and Aleksandre Maskharashvili (2019), Bayesian\nInference Semantics: A Modelling System and A Test Suite,\nProceedings of the Eighth Joint Conference on Lexical and\nComputational Semantics (\\SEM)*, pages 263--272 Minneapolis, July\n6--7, 2019.
\n
Yuri Bizzoni and Shalom Lappin (2019) \"Predicting Metaphor\nParaphrase Judgements in Context\", Proceedings of the 13th\nInternational Conference on Computational Semantics 2019 - Long\nPapers, University of Gothenburg, May 2019, pp. 165-174.
\n
Shalom Lappin (2018), Towards a Computationally Viable Framework for\nSemantic Representation, Proceedings of the Symposium on Logic and\nAlgorithms in Computational Linguistics 2018, September,\n2018, Stockholm University, DiVA Portal for digital publications,\npp. 47-63.
\n
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis,\nand Shalom Lappin (2018), \"A Compositional Bayesian Semantics for\nNatural Language\", Proceedings of the First International Workshop\non Language Cognition and Computational Models, COLING 2018, Santa\nFe, New Mexico, August 20, 2018, pp. 1-10.
\n
Jean-Philippe Bernardy, Shalom Lappin, and Jey Han Lau (2018), \"The\nInfluence of Context on Sentence Acceptability Judgements\",\nProceedings of the 56th Annual Meeting of the Association for\nComputational Linguistics (Short Papers), pages 1--6, Melbourne,\nAustralia, July 2018.
\n
Yuri Bizzoni and Shalom Lappin (2018), \"Predicting Human Metaphor\nParaphrase Judgments with Deep Neural Networks\", Proceedings of\nthe NAACL 2018 Workshop on Figurative Language Processing, New\nOrleans LA, June 2018, pp. 45-55.
\n
Yuri Bizzoni and Shalom Lappin (2017), \"Deep Learning of Binary and\nGradient Judgements for Semantic Paraphrase\", Proceedings of the\nInternational Workshop on Computational Semantics 2017,\nMontpellier, France, September 2017.
\n
Jey Han Lau, Alexander Clark, and Shalom Lappin (2015),\n\"Unsupervised Prediction of Acceptability Judgements\",\nProceedings of the 53rd Annual Conference of the Association of\nComputational Linguistics, Beijing, July 2015, pp. 1618-1628.
\n
Jey Han Lau, Alexander Clark, and Shalom Lappin (2014), \"Measuring\nGradience in Speakers\" Grammaticality Judgements\", Proceedings of\nthe 36th Annual Conference of the Cognitive Science Society, Quebec\nCity, July 2014, pp. 821-826.
\n
Robin Cooper, Simon Dobnik, Shalom Lappin, and Staffan Larsson\n(2014), \"A Probabilistic Rich Type Theory for Semantic\nInterpretation\", Proceedings of the EACL 2014 Workshop on Type\nTheory and Natural Language Semantics (TTNLS), Gothenburg, April\n2014, pp. 72---79.
\n
Alexander Clark, Gianluca Giorgolo, and Shalom Lappin (2013),\n\"Statistical Representation of Grammaticality Judgements: The\nLimits of N-Gram Models\", Proceedings of the ACL Workshop on\nCognitive Modelling and Computational Linguistics, Sophia, August\n2013, pp. 28-36.
\n
Alexander Clark, Gianluca Giorgolo, and Shalom Lappin (2013),\nTowards a Statistical Model of Grammaticality, Proceedings of the\n35th Annual Conference of the Cognitive Science Society, Berlin,\nJuly-August 2013, pp. 2064-2069.
\n
Alexander Clark and Shalom Lappin (2009), \"Restricting Probability\nDistributions to Expand The Class of Learnable Languages\", Recent\nAdvances in Natural Language Processing 2009, Borovetz, Bulgaria\n(abstract with slides, invited keynote talk).
\n
Alexander Clark and Shalom Lappin (2009), \"Another Look at Indirect\nEvidence\", Proceedings of the EACL Workshop on Cognitive Aspects\nof Computational Language Acquisition, Athens, pp. 26-33.
\n
Shalom Lappin (2005) \"Machine Learning and the Cognitive Basis of\nNatural Language\" in Proceedings of Computational Linguistics in\nthe Netherlands 2004, Leiden, pp. 1-11 (invited keynote lecture).
\n
Chris Fox and Shalom Lappin (2005), \"Achieving Expressive\nCompleteness and Computational Efficiency for Underspecified\nSemantic Representations\" in Proceedings of The Fifteenth\nAmsterdam Colloquium, Amsterdam, pp. 77-82.
\n
Raquel Fernandez, Jonathan Ginzburg, and Shalom Lappin (2005),\n\"Using Machine Learning for Non-Sentential Utterance\nClassification\" in Proceedings of ACL SIGdial Workshop on\nDiscourse and Dialogue 6, Lisbon, pp. 77-86.
\n
Raquel Fernandez, Jonathan Ginzburg, and Shalom Lappin (2005),\n\"Automatic Bare Sluice Disambiguation in Dialogue\" in Proceedings\nof IWCS-6, Tilburg, pp. 115-127.
\n
Chris Fox and Shalom Lappin (2004), \"A Type-Theoretic Approach to\nEllipsis Resolution\" in N. Nicolov, K. Botcheva, G. Angelova,\nand R. Mitkov (eds.), Recent Advances in Natural Language\nProcessing III: Selected Papers from RANLP 2003, John Benjamins,\nAmsterdam, pp. 1-16 (invited keynote talk).
\n
Raquel Fernandez, Jonathan Ginzburg, and Shalom Lappin (2004),\n\"Clarifying Ellipsis in Dialogue: A Machine Learning Approach\" in\nProceedings of COLING 2004, Geneva, pp. 240-246.
\n
Chris Fox and Shalom Lappin (2003), \"Doing Natural Language\nSemantics in an Expressive First-Order Logic with Flexible Typing\"\nin G. Jaeger, P. Monachesi, G. Penn, and S. Wintner (eds.),\nProceedings of Formal Grammar 2003, Vienna, pp. 89-102.
\n
Chris Fox, Shalom Lappin, and Carl Pollard (2002) \"Intensional\nFirst-Order Logic with Types\" in G. Alberti, K. Balough, and P.\nDekker (eds.), Proceedings of the Seventh Symposium for Logic and\nLanguage, Pecs, Hungary, pp. 47-56.
\n
Chris Fox, Shalom Lappin, and Carl Pollard (2002) \"A Higher-Order\nFine-Grained Logic for Intensional Semantics\" in G. Alberti, K.\nBalough, and P. Dekker (eds.), Proceedings of the Seventh Symposium\nfor Logic and Language, Pecs, Hungary, pp.37-46.
\n
Chris Fox, Shalom Lappin, and Carl Pollard (2002), \"First-Order\nCurry-Typed Logic for Natural Language Semantics\" in S. Wintner\n(ed.), Proceedings of the Seventh Workshop on Natural Language\nUnderstanding and Logic Programming, Copenhagen, pp. 87-102.
\n
Jonathan Ginzburg, Howard Gregory, and Shalom Lappin (2001),\n\"SHARDS: Fragment Resolution in Dialogue\" in H. Bunt, I. van der\nSlius, and E. Thijsse (eds.), Proceedings of the Fourth\nInternational Conference on Computational Semantics, Tilburg, pp.\n156-172.
\n
Jonathan Ginzburg, Howard Gregory, and Shalom Lappin (2000), \"A\nDialogue System for Interpreting Fragments\", in Proceedings of the\nESSLLI 2000 Workshop on Linguistic Theory and Grammar\nImplementation, ESSLLI, Birmingham, UK, pp. 187-199.
\n
Howard Gregory and Shalom Lappin (1997), \"A Computational Model of\nEllipsis\" in G-J Kruiff, G. Morrill, and R. Oehrle (eds.),\nProceedings of the Conference on Formal Grammar, ESSLLI,\nAix-en-Provence.
\n
David Johnson and Shalom Lappin (1997), \"Wh-Questions: Unification\nin a Typed Feature Structure Grammar vs. Feature Checking in the\nMinimalist Program\" in E. Doron and S. Wintner (eds.), Proceedings\nof the Twelfth Annual Conference of the Israel Association for\nTheoretical Linguistics, pp. 91-99.
\n
Shalom Lappin and Hsue-Hueh Shih (1996), \"A Generalized\nReconstruction Algorithm for Ellipsis Resolution in Proceedings of\nCOLING-96, pp. 687-692.
\n
Shalom Lappin (1995), \"Logicality and the Determination of\nSyntactic Categories in Natural Language\" in Proceedings of the\nFourth Bar-Ilan Symposium on Foundations of Artificial\nIntelligence, Bar-Ilan University, Ramat Gan, Israel.
\n
Shalom Lappin (1993), \"Ellipsis Resolution at S\"Structure\" in A\nSchafer (ed.) Proceedings of NELS 23, GLSA, University of\nMassachusetts, pp. 255---269.
\n
Shalom Lappin (1992), \"The Syntactic Basis of Ellipsis Resolution\"\nin S. Berman and A. Hestvik (eds.), Proceedings of the Stuttgart\nWorkshop on Ellipsis, Arbeitspapiere des Sonderforschungsbereich\n340, Bericht Nr. 29---1992.
\n
Shalom Lappin and Michael McCord (1990), \"A Syntactic Filter on\nPronominal Anaphora for Slot Grammar\", Proceedings of the 28th\nAnnual Meeting of the Association for Computational Linguistics,\nUniversity of Pittsburgh, pp. 135---142.
\n
Igal Golan, Shalom Lappin, and M. Rimon (1988), \"An Active\nBilingual Lexicon for Machine Translation\", Proceedings of COLING\n'88, Budapest, pp. 205---211.
\n
Shalom Lappin (1984), \"Predication and Raising\" in C. Jones and P.\nSells (eds.), Proceedings of NELS 14, University of Massachusetts,\nAmherst, MA, pp. 236---252.
\n
Shalom Lappin (1983), \"The Theta\"Criterion and Pronominal\nBinding\" in P. Sells and C. Jones (eds.), Proceedings of NELS 13,\nUniversity of Massachusetts, Amherst, MA, pp. 121---128.
\n
\n
TECHNICAL REPORTS
\n
\n
Yuri Bizzoni and Shalom Lappin (2018), The Effect of Context on\nMetaphor Paraphrase Aptness Judgments, \narXiv:1809.01060 [cs.CL], https://arxiv.org/abs/1809.01060.
\n
Arendse Bernth and Shalom Lappin (1991), A Meaning Postulate Based\nInference System for Natural Language, Technical Report RC 16947,\nIBM T.J. Watson Research Center, Yorktown Heights, NY.
\n
Igal Golan, Shalom Lappin, and M. Rimon (1989), Computing\nGrammatical Functions from Configurational Parse Trees, Technical\nReport 88.268, IBM Science and Technology and Scientific Center,\nHaifa.
\n
","frontmatter":{"title":"Professor","name":"Shalom Lappin","profileImage":{"publicURL":"/static/9b4bba473639fff2a4121009cb4e9857/shalomlappin.jpg"}},"fields":{"slug":"/people/shalom-lappin/publications/"}}},"pageContext":{"slug":"/people/shalom-lappin/publications/"}},"staticQueryHashes":["3875542623"]}
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diff --git "a/page-data/people/sharid-lo\303\241iciga/page-data.json" "b/page-data/people/sharid-lo\303\241iciga/page-data.json"
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index 0000000000..a6ecfa60e6
--- /dev/null
+++ "b/page-data/people/sharid-lo\303\241iciga/page-data.json"
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/sharid-loáiciga/","result":{"data":{"markdownRemark":{"html":"
I'm an Associate Senior Lecturer in Computational Linguistics and the Coordinating Director of CLASP. I work in document-level NLP with a special interest in anaphoric phenomena, i.e., how humans interpret everyday referring expressions like 'it', 'this', and 'that', and how machines mimic that behavior. Applications in which I have focused include machine translation, corpora annotation, and probing and interpretability of pre-trained language models. For more information, please visit my personal webpage.
","frontmatter":{"title":"Coordinating Director","name":"Sharid Loáiciga","profileImage":{"publicURL":"/static/63a477b40b6d0b5e2e6d65fb0bbeac32/Sharid.jpg"}},"fields":{"slug":"/people/sharid-loáiciga/"}}},"pageContext":{"slug":"/people/sharid-loáiciga/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/simon-dobnik/page-data.json b/page-data/people/simon-dobnik/page-data.json
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--- /dev/null
+++ b/page-data/people/simon-dobnik/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/simon-dobnik/","result":{"data":{"markdownRemark":{"html":"
Simon Dobnik is a Professor of Computational Linguistics at CLASP.
","frontmatter":{"title":"Professor of Computational Linguistics","name":"Simon Dobnik","profileImage":{"publicURL":"/static/3a3567515632c0ebc926517fba0be5ce/Simon.jpg"}},"fields":{"slug":"/people/simon-dobnik/"}}},"pageContext":{"slug":"/people/simon-dobnik/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/staffan-larsson/page-data.json b/page-data/people/staffan-larsson/page-data.json
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index 0000000000..d02e555aa7
--- /dev/null
+++ b/page-data/people/staffan-larsson/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/staffan-larsson/","result":{"data":{"markdownRemark":{"html":"
Staffan Larsson is a Professor of Computational Linguistics at CLASP.
","frontmatter":{"title":"Professor of Computational Linguistics","name":"Staffan Larsson","profileImage":{"publicURL":"/static/02691028ce0c9396cde51ce56d9d7915/Staffanny.jpg"}},"fields":{"slug":"/people/staffan-larsson/"}}},"pageContext":{"slug":"/people/staffan-larsson/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/stergios-chatzikyriakidis/page-data.json b/page-data/people/stergios-chatzikyriakidis/page-data.json
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index 0000000000..ac890fef8b
--- /dev/null
+++ b/page-data/people/stergios-chatzikyriakidis/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/stergios-chatzikyriakidis/","result":{"data":{"markdownRemark":{"html":"
Stergios Chatzikyriakidis is a Professor of Computational Linguistics at the University of Crete. He earned his BA in Greek Philology specializing in Linguistics at Aristotle University, Thessaloniki. He continued his studies with an MSc in Computational Linguistics and Formal Grammar, and a PhD in Linguistics, both from King’s College, London. He has worked at Royal Holloway, University of London, the French National Centre for Scientific Research (CNRS), the Open University of Cyprus and the University of Gothenburg. From 2016 until 2021, he was the Associate Director of the Center for Linguistic Theory and Studies in Probability (CLASP) and a Docent (Associate Professor) in Computational Linguistics at the University of Gothenburg.
\n
His research interests lie within Computational/Formal Semantics/Syntax. Constructive Type Theoretical Semantics and their Implementation, Natural Language Inference, Probabilistic Semantics, Dialogue Modelling and the interaction between Logic and Machine Learning/Deep Learning for NLP are some of the topics he has been working on. webpage.
","frontmatter":{"title":"Associate Researcher","name":"Stergios Chatzikyriakidis","profileImage":{"publicURL":"/static/0548b9c4bea4c5f9debb529d635fa72c/Stergios.jpg"}},"fields":{"slug":"/people/stergios-chatzikyriakidis/"}}},"pageContext":{"slug":"/people/stergios-chatzikyriakidis/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/susanna-myyry/page-data.json b/page-data/people/susanna-myyry/page-data.json
new file mode 100644
index 0000000000..4a44a1240e
--- /dev/null
+++ b/page-data/people/susanna-myyry/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/susanna-myyry/","result":{"data":{"markdownRemark":{"html":"
I am the administrator of CLASP - a project within the Department of Philosophy, Linguistics and Theory of Science (FLoV). My tasks involve (among other things), arranging travel and appointments, updating the CLASP website, handling invoices, purchases, conference and guest research administration.
\n
Prior I have worked mostly with economy administration, both in the state and private sector.
\n
I am a communicative and positive person, with a great interest in languages, other people and cultures. An interest I have had for as long as I can remember. Possibly coming from being raised in a bilingual family, with both Swedish and Finnish as native languages...
\n
My interest in languages has led me to a lot of language studies and trips both here in Sweden as abroad. Most recently, three years at the University of Gothenburg and the International Language Program with a Spanish orientation. The goal after the studies was to get an employment within GU where I could combine my language and administrative knowledges and skills; which I gratefully managed!
\n
You are most welcome to contact me, in Finnish, Spanish, English or, if you prefer, in good, old Swedish ;-) :-)
","frontmatter":{"title":"Administrator","name":"Susanna Myyry","profileImage":{"publicURL":"/static/f46d4899b81efce7d1320544f49d7ebd/susanna-myyry.jpg"}},"fields":{"slug":"/people/susanna-myyry/"}}},"pageContext":{"slug":"/people/susanna-myyry/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/sylvie-saget/page-data.json b/page-data/people/sylvie-saget/page-data.json
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--- /dev/null
+++ b/page-data/people/sylvie-saget/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/sylvie-saget/","result":{"data":{"markdownRemark":{"html":"
Sylvie Saget is a PhD/Doctoral Researcher in Computational Linguistics. Her research focuses on conversational agents that can talk and act autonomously such as humans, robots, virtual humans - or, generally speaking, any kind of object or system involving social interaction.
\n
Her research focuses on the modeling of reasoning and dialogue via a transdisciplinary approach mixing philosophy (of Mind + of Science&Technology), logics and psychology. Application areas she is focusing on:
PhD Project: \"Language as a tool: A rational and cognitive approach\"
\n
The original approach is to refashion rationality starting from a distinction between two types of information (facts and infos related to what to do or use/how to behave) and the specification of corresponding information containers (epistemic mental attitude and memory-box). Based on this distinction regarding types of information & information-containers, I am developing a cognitive and rational approach of cognition, a rational dialog model as well as a cognitive architecture.
\n
My scientific journey:
\n
\n
From Conversational AI to Pragmatics / Dialog modeling
\n
Pragmatics / Dialog modeling: From an activity / reasoning / process-based approach to the 1rst definition in term of kind of information/data using modern epistemology & cognitive sciences
\n
From modern epistemology to (Conversational) Agent theory and architecture
\n
\n
And Back Again
\n
The key notions I am developing: Acceptance a belief-like doxastic state - caracterisation and representation of tools & much more!
\n
\n
","frontmatter":{"title":"PhD Student","name":"Sylvie Saget","profileImage":{"publicURL":"/static/75371f94f8bbda2d81b8529b01a46332/S.jpg"}},"fields":{"slug":"/people/sylvie-saget/"}}},"pageContext":{"slug":"/people/sylvie-saget/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/tewodros-gebreselassie/page-data.json b/page-data/people/tewodros-gebreselassie/page-data.json
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--- /dev/null
+++ b/page-data/people/tewodros-gebreselassie/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/tewodros-gebreselassie/","result":{"data":{"markdownRemark":{"html":"
Tewodros Gebreselassie is a PhD Student at CLASP.
","frontmatter":{"title":"PhD Student","name":"Tewodros Gebreselassie","profileImage":{"publicURL":"/static/74e79127ac293ae08bf8cc4c5182ed2c/Tewodros.jpg"}},"fields":{"slug":"/people/tewodros-gebreselassie/"}}},"pageContext":{"slug":"/people/tewodros-gebreselassie/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/vidya-somashekarappa/page-data.json b/page-data/people/vidya-somashekarappa/page-data.json
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--- /dev/null
+++ b/page-data/people/vidya-somashekarappa/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/vidya-somashekarappa/","result":{"data":{"markdownRemark":{"html":"
Vidya Somashekarappa is a PhD Student at CLASP.
","frontmatter":{"title":"PhD Student","name":"Vidya Somashekarappa","profileImage":{"publicURL":"/static/08d447e806ec81bfb37b620b487eaf8f/Vidya-Somashekarappa.JPG"}},"fields":{"slug":"/people/vidya-somashekarappa/"}}},"pageContext":{"slug":"/people/vidya-somashekarappa/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/vladislav-maraev/page-data.json b/page-data/people/vladislav-maraev/page-data.json
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--- /dev/null
+++ b/page-data/people/vladislav-maraev/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/vladislav-maraev/","result":{"data":{"markdownRemark":{"html":"
Vladislav Maraev was a PhD Student at CLASP.
","frontmatter":{"title":"PhD Student","name":"Vladislav Maraev","profileImage":null},"fields":{"slug":"/people/vladislav-maraev/"}}},"pageContext":{"slug":"/people/vladislav-maraev/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/wafia-adouane/page-data.json b/page-data/people/wafia-adouane/page-data.json
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--- /dev/null
+++ b/page-data/people/wafia-adouane/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/wafia-adouane/","result":{"data":{"markdownRemark":{"html":"
Wafia Adouane was a PhD Student at CLASP.
","frontmatter":{"title":"PhD Student","name":"Wafia Adouane","profileImage":null},"fields":{"slug":"/people/wafia-adouane/"}}},"pageContext":{"slug":"/people/wafia-adouane/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/people/yuri-bizzoni/page-data.json b/page-data/people/yuri-bizzoni/page-data.json
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index 0000000000..1ceab3ae73
--- /dev/null
+++ b/page-data/people/yuri-bizzoni/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-staff-template-js","path":"/people/yuri-bizzoni/","result":{"data":{"markdownRemark":{"html":"
Yuri Bizzoni was a PhD student at CLASP, and defended February 2019 (now in Saarbrücken).
","frontmatter":{"title":"PhD student","name":"Yuri Bizzoni","profileImage":null},"fields":{"slug":"/people/yuri-bizzoni/"}}},"pageContext":{"slug":"/people/yuri-bizzoni/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/phd-courses/Constructive-Type-Theories-and-Natural-Language-Semantics/page-data.json b/page-data/phd-courses/Constructive-Type-Theories-and-Natural-Language-Semantics/page-data.json
new file mode 100644
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--- /dev/null
+++ b/page-data/phd-courses/Constructive-Type-Theories-and-Natural-Language-Semantics/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-course-template-js","path":"/phd-courses/Constructive-Type-Theories-and-Natural-Language-Semantics/","result":{"data":{"phd_course":{"phd_courses":[{"phd_course_entry":{"html":"
The course concentrates on the use of constructive type theories to the study of natural language semantics. It presents an alternative language to be used in representing the semantics of NL based on the notion of proof, rather than the notion of truth with respect to a model as standard in classic Montague Semantics.
","fields":{"slug":"/phd-courses/Constructive-Type-Theories-and-Natural-Language-Semantics/"},"frontmatter":{"title":"Constructive Type Theories and Natural Language Semantics","date":null},"excerpt":"The course concentrates on the use of constructive type theories to the study of natural language semantics. It presents an alternative…"}},{"phd_course_entry":{"html":"
The course gives in-depth knowledge about theories and methods for the design, implementation and evaluation of dialogue systems by focusing especially on:
","fields":{"slug":"/phd-courses/Dialogue-Systems-2/dialogue-systems-2/"},"frontmatter":{"title":"Dialogue Systems 2","date":null},"excerpt":"The course gives in-depth knowledge about theories and methods for the design, implementation and evaluation of dialogue systems by focusing…"}},{"phd_course_entry":{"html":"
This is a PhD course that explores computational modelling of language and vision in particular in relation to situated dialogue agents and image classification. There is a parallel course at the master’s level which this course may partially overlap with: LT2308 ESLP: Embodied and Situated Language Processing or LT2318: Artificial Intelligence: Cognitive Systems.
\n
The course gives a survey of theory and practical computational implementations of how natural language interacts with the physical world through action and perception. We will look at topics such as semantic theories and computational approaches to modelling natural language, action and perception (grounding), situated dialogue systems, integrated robotic systems, grounding of language in action and perception, generation and interpretation of scene descriptions from images and videos, spatial cognition, and others.
\n
As the course studies how humans structure and interact with the physical world and express it in language, it bridges into the domains of cognitive science, computer vision, robotics and therefore more broadly belongs to the field of cognitive artificial intelligence. Typical applications of computational models of language, action, and perception are image search and retrieval on the web, navigation systems that provide more natural, human-like instructions, and personal robots and situated conversational agents that interact with us in our home environment through language.
\n
The learning outcomes of the course are based on covering 3 topics: (i) the relation between language and perception in human interaction, (ii) how language and perception is modelled with formal and computational models and methods and how these are integrated with different applications, and (iii) how research in the field is communicated scientifically.
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The Doctoral Studies webpage can be accessed here.
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As the course studies how humans structure and interact with the physical world and express it in language, it bridges into the domains of cognitive science, computer vision, robotics and therefore more broadly belongs to the field of cognitive artificial intelligence. Typical applications of computational models of language, action, and perception are image search and retrieval on the web, navigation systems that provide more natural, human-like instructions, and personal robots and situated conversational agents that interact with us in our home environment through language.
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\n
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\n
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As the course studies how humans structure and interact with the physical world and express it in language, it bridges into the domains of cognitive science, computer vision, robotics and therefore more broadly belongs to the field of cognitive artificial intelligence. Typical applications of computational models of language, action, and perception are image search and retrieval on the web, navigation systems that provide more natural, human-like instructions, and personal robots and situated conversational agents that interact with us in our home environment through language.
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\n
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\n
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As the course studies how humans structure and interact with the physical world and express it in language, it bridges into the domains of cognitive science, computer vision, robotics and therefore more broadly belongs to the field of cognitive artificial intelligence. Typical applications of computational models of language, action, and perception are image search and retrieval on the web, navigation systems that provide more natural, human-like instructions, and personal robots and situated conversational agents that interact with us in our home environment through language.
\n
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This is a PhD course that explores computational modelling of language and vision in particular in relation to situated dialogue agents and image classification. There is a parallel course at the master’s level which this course may partially overlap with: LT2308 ESLP: Embodied and Situated Language Processing or LT2318: Artificial Intelligence: Cognitive Systems.
\n
The course gives a survey of theory and practical computational implementations of how natural language interacts with the physical world through action and perception. We will look at topics such as semantic theories and computational approaches to modelling natural language, action and perception (grounding), situated dialogue systems, integrated robotic systems, grounding of language in action and perception, generation and interpretation of scene descriptions from images and videos, spatial cognition, and others.
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As the course studies how humans structure and interact with the physical world and express it in language, it bridges into the domains of cognitive science, computer vision, robotics and therefore more broadly belongs to the field of cognitive artificial intelligence. Typical applications of computational models of language, action, and perception are image search and retrieval on the web, navigation systems that provide more natural, human-like instructions, and personal robots and situated conversational agents that interact with us in our home environment through language.
\n
The learning outcomes of the course are based on covering 3 topics: (i) the relation between language and perception in human interaction, (ii) how language and perception is modelled with formal and computational models and methods and how these are integrated with different applications, and (iii) how research in the field is communicated scientifically.
","fields":{"slug":"/phd-courses/Language-Action-and-Perception/language-action/"},"frontmatter":{"title":"Language, Action, and Perception","date":null},"excerpt":"This is a PhD course that explores computational modelling of language and vision in particular in relation to situated dialogue agents and…"}},{"phd_course_entry":{"html":"
The course focuses on machine learning/deep learning models and techniques such as Recurrent Neural Networks (RNNs), Long-Short Term Memory Networks (LSTMs), Convolutional Neural Networks (ConvNets), Neural Auto-Encoders, Memory Networks, and others applied to computational modeling of natural language and images, and other sensory information.
\n
Theoretically, it examines how machine learning approaches address topics such as multi-modal grounded representations of meaning, representing and resolving semantic ambiguity, attention and salience, perception and dialogue interaction, natural language interpretation, natural language generation, natural language reasoning and inference, and collection of perceptual and linguistic data.
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","fields":{"slug":"/phd-courses/ML-Methods-for-Vision-and-Language/"},"frontmatter":{"title":"ML Methods for Vision and Language","date":null},"excerpt":"The course focuses on machine learning/deep learning models and techniques such as Recurrent Neural Networks (RNNs), Long-Short Term Memory…"}},{"phd_course_entry":{"html":"
The Doctoral Studies webpage can be accessed here.
","fields":{"slug":"/phd-courses/PhD-in-Computational-Linguistics/"},"frontmatter":{"title":"PhD in Computational Linguistics","date":null},"excerpt":"The syllabus can be found here. The Doctoral Studies webpage can be accessed here."}},{"phd_course_entry":{"html":"
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","fields":{"slug":"/phd-courses/Representations-of-Meaning/"},"frontmatter":{"title":"Representations of Meaning","date":null},"excerpt":"The course gives a survey of theory and computational implementations of representing and reasoning with meaning in natural languages from…"}},{"phd_course_entry":{"html":"
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\n
Course content for the introductory version: An introduction to the basic concepts of deep machine learning as applied to problems in natural language processing.
\n
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The course gives in-depth knowledge about theories and methods for the design, implementation and evaluation of dialogue systems by focusing especially on:
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\n
The course gives a survey of theory and practical computational implementations of how natural language interacts with the physical world through action and perception. We will look at topics such as semantic theories and computational approaches to modelling natural language, action and perception (grounding), situated dialogue systems, integrated robotic systems, grounding of language in action and perception, generation and interpretation of scene descriptions from images and videos, spatial cognition, and others.
\n
As the course studies how humans structure and interact with the physical world and express it in language, it bridges into the domains of cognitive science, computer vision, robotics and therefore more broadly belongs to the field of cognitive artificial intelligence. Typical applications of computational models of language, action, and perception are image search and retrieval on the web, navigation systems that provide more natural, human-like instructions, and personal robots and situated conversational agents that interact with us in our home environment through language.
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The learning outcomes of the course are based on covering 3 topics: (i) the relation between language and perception in human interaction, (ii) how language and perception is modelled with formal and computational models and methods and how these are integrated with different applications, and (iii) how research in the field is communicated scientifically.
","fields":{"slug":"/phd-courses/Language-Action-and-Perception/language-action/"},"frontmatter":{"title":"Language, Action, and Perception","date":null},"excerpt":"This is a PhD course that explores computational modelling of language and vision in particular in relation to situated dialogue agents and…"}},{"phd_course_entry":{"html":"
The course focuses on machine learning/deep learning models and techniques such as Recurrent Neural Networks (RNNs), Long-Short Term Memory Networks (LSTMs), Convolutional Neural Networks (ConvNets), Neural Auto-Encoders, Memory Networks, and others applied to computational modeling of natural language and images, and other sensory information.
\n
Theoretically, it examines how machine learning approaches address topics such as multi-modal grounded representations of meaning, representing and resolving semantic ambiguity, attention and salience, perception and dialogue interaction, natural language interpretation, natural language generation, natural language reasoning and inference, and collection of perceptual and linguistic data.
\n
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","fields":{"slug":"/phd-courses/ML-Methods-for-Vision-and-Language/"},"frontmatter":{"title":"ML Methods for Vision and Language","date":null},"excerpt":"The course focuses on machine learning/deep learning models and techniques such as Recurrent Neural Networks (RNNs), Long-Short Term Memory…"}},{"phd_course_entry":{"html":"
The Doctoral Studies webpage can be accessed here.
","fields":{"slug":"/phd-courses/PhD-in-Computational-Linguistics/"},"frontmatter":{"title":"PhD in Computational Linguistics","date":null},"excerpt":"The syllabus can be found here. The Doctoral Studies webpage can be accessed here."}},{"phd_course_entry":{"html":"
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\n
Course content for the introductory version: An introduction to the basic concepts of deep machine learning as applied to problems in natural language processing.
\n
Course content for the advanced version: Advanced applications of deep machine learning as applied to problems in natural language processing and artificial intelligence.
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\n
The course gives a survey of theory and practical computational implementations of how natural language interacts with the physical world through action and perception. We will look at topics such as semantic theories and computational approaches to modelling natural language, action and perception (grounding), situated dialogue systems, integrated robotic systems, grounding of language in action and perception, generation and interpretation of scene descriptions from images and videos, spatial cognition, and others.
\n
As the course studies how humans structure and interact with the physical world and express it in language, it bridges into the domains of cognitive science, computer vision, robotics and therefore more broadly belongs to the field of cognitive artificial intelligence. Typical applications of computational models of language, action, and perception are image search and retrieval on the web, navigation systems that provide more natural, human-like instructions, and personal robots and situated conversational agents that interact with us in our home environment through language.
\n
The learning outcomes of the course are based on covering 3 topics: (i) the relation between language and perception in human interaction, (ii) how language and perception is modelled with formal and computational models and methods and how these are integrated with different applications, and (iii) how research in the field is communicated scientifically.
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\n
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\n
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The Doctoral Studies webpage can be accessed here.
","fields":{"slug":"/phd-courses/PhD-in-Computational-Linguistics/"},"frontmatter":{"title":"PhD in Computational Linguistics","date":null},"excerpt":"The syllabus can be found here. The Doctoral Studies webpage can be accessed here."}},{"phd_course_entry":{"html":"
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This course comes into an introductory as well as an advanced version. It is a reading course.
\n
Course content for the introductory version: An introduction to the basic concepts of deep machine learning as applied to problems in natural language processing.
\n
Course content for the advanced version: Advanced applications of deep machine learning as applied to problems in natural language processing and artificial intelligence.
","fields":{"slug":"/phd-courses/Topics-in-Advanced-Deep-Machine-Learning/"},"frontmatter":{"title":"Topics in Advanced Deep Machine Learning","date":null},"excerpt":"This course comes into an introductory as well as an advanced version. It is a reading course. Course content for the introductory version…"}},{"phd_course_entry":{"html":"
The course introduces TTR, a Type Theory with Records, as a framework for natural language grammar and interaction. We follow Cooper (in preparation) in taking a dialogical view of semantics. The course covers the formal foundations of TTR as well as TTR accounts of perception, intensionality, information exchange, grammar (syntax and semantics), quantification, modality and other linguistic phenomena. It also covers the relation between TTR and other type theories for natural language semantics, as well as recent extensions and applications of TTR.
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\n
As the course studies how humans structure and interact with the physical world and express it in language, it bridges into the domains of cognitive science, computer vision, robotics and therefore more broadly belongs to the field of cognitive artificial intelligence. Typical applications of computational models of language, action, and perception are image search and retrieval on the web, navigation systems that provide more natural, human-like instructions, and personal robots and situated conversational agents that interact with us in our home environment through language.
\n
The learning outcomes of the course are based on covering 3 topics: (i) the relation between language and perception in human interaction, (ii) how language and perception is modelled with formal and computational models and methods and how these are integrated with different applications, and (iii) how research in the field is communicated scientifically.
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\n
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\n
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\n
Course content for the introductory version: An introduction to the basic concepts of deep machine learning as applied to problems in natural language processing.
\n
Course content for the advanced version: Advanced applications of deep machine learning as applied to problems in natural language processing and artificial intelligence.
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","fields":{"slug":"/phd-courses/Type-Theory-with-Records:-From-Perception-to-Communication/"},"frontmatter":{"title":"Type Theory with Records: From Perception to Communication","date":null},"excerpt":"The course introduces TTR, a Type Theory with Records, as a framework for natural language grammar and interaction. We follow Cooper (in…"}}],"totalCount":9}},"pageContext":{"slug":"/phd-courses/Topics-in-Advanced-Deep-Machine-Learning/"}},"staticQueryHashes":["3875542623"]}
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The course concentrates on the use of constructive type theories to the study of natural language semantics. It presents an alternative language to be used in representing the semantics of NL based on the notion of proof, rather than the notion of truth with respect to a model as standard in classic Montague Semantics.
","fields":{"slug":"/phd-courses/Constructive-Type-Theories-and-Natural-Language-Semantics/"},"frontmatter":{"title":"Constructive Type Theories and Natural Language Semantics","date":null},"excerpt":"The course concentrates on the use of constructive type theories to the study of natural language semantics. It presents an alternative…"}},{"phd_course_entry":{"html":"
The course gives in-depth knowledge about theories and methods for the design, implementation and evaluation of dialogue systems by focusing especially on:
","fields":{"slug":"/phd-courses/Dialogue-Systems-2/dialogue-systems-2/"},"frontmatter":{"title":"Dialogue Systems 2","date":null},"excerpt":"The course gives in-depth knowledge about theories and methods for the design, implementation and evaluation of dialogue systems by focusing…"}},{"phd_course_entry":{"html":"
This is a PhD course that explores computational modelling of language and vision in particular in relation to situated dialogue agents and image classification. There is a parallel course at the master’s level which this course may partially overlap with: LT2308 ESLP: Embodied and Situated Language Processing or LT2318: Artificial Intelligence: Cognitive Systems.
\n
The course gives a survey of theory and practical computational implementations of how natural language interacts with the physical world through action and perception. We will look at topics such as semantic theories and computational approaches to modelling natural language, action and perception (grounding), situated dialogue systems, integrated robotic systems, grounding of language in action and perception, generation and interpretation of scene descriptions from images and videos, spatial cognition, and others.
\n
As the course studies how humans structure and interact with the physical world and express it in language, it bridges into the domains of cognitive science, computer vision, robotics and therefore more broadly belongs to the field of cognitive artificial intelligence. Typical applications of computational models of language, action, and perception are image search and retrieval on the web, navigation systems that provide more natural, human-like instructions, and personal robots and situated conversational agents that interact with us in our home environment through language.
\n
The learning outcomes of the course are based on covering 3 topics: (i) the relation between language and perception in human interaction, (ii) how language and perception is modelled with formal and computational models and methods and how these are integrated with different applications, and (iii) how research in the field is communicated scientifically.
","fields":{"slug":"/phd-courses/Language-Action-and-Perception/language-action/"},"frontmatter":{"title":"Language, Action, and Perception","date":null},"excerpt":"This is a PhD course that explores computational modelling of language and vision in particular in relation to situated dialogue agents and…"}},{"phd_course_entry":{"html":"
The course focuses on machine learning/deep learning models and techniques such as Recurrent Neural Networks (RNNs), Long-Short Term Memory Networks (LSTMs), Convolutional Neural Networks (ConvNets), Neural Auto-Encoders, Memory Networks, and others applied to computational modeling of natural language and images, and other sensory information.
\n
Theoretically, it examines how machine learning approaches address topics such as multi-modal grounded representations of meaning, representing and resolving semantic ambiguity, attention and salience, perception and dialogue interaction, natural language interpretation, natural language generation, natural language reasoning and inference, and collection of perceptual and linguistic data.
\n
Practically, the course oveviews contemporary computer vision and natural language processing tasks such as generating image and video descriptions, visual question answering, image retrieval using text queries, aligning images and text in large data collections, image generation from textual descriptions, and others.
","fields":{"slug":"/phd-courses/ML-Methods-for-Vision-and-Language/"},"frontmatter":{"title":"ML Methods for Vision and Language","date":null},"excerpt":"The course focuses on machine learning/deep learning models and techniques such as Recurrent Neural Networks (RNNs), Long-Short Term Memory…"}},{"phd_course_entry":{"html":"
The Doctoral Studies webpage can be accessed here.
","fields":{"slug":"/phd-courses/PhD-in-Computational-Linguistics/"},"frontmatter":{"title":"PhD in Computational Linguistics","date":null},"excerpt":"The syllabus can be found here. The Doctoral Studies webpage can be accessed here."}},{"phd_course_entry":{"html":"
The course gives a survey of theory and computational implementations of representing and reasoning with meaning in natural languages from cognitive, linguistic and computational perspective. We will look at formal theories and computational implementations to model-theoretic semantics (lambda calculus), situated and grounded representations of meaning, semantic grammars (CCG, dependency grammar), distributional representations of lexical meaning and its compositional extensions, approaches to unsupervised machine learning of linguistic representations, and others. An emphasis of the course will be (i) on the nature of representations, (ii) how they satisfy the notion of compositionality, (iii) how they are used in inference or reasoning and (iv) what natural language processing applications are they useful for.
","fields":{"slug":"/phd-courses/Representations-of-Meaning/"},"frontmatter":{"title":"Representations of Meaning","date":null},"excerpt":"The course gives a survey of theory and computational implementations of representing and reasoning with meaning in natural languages from…"}},{"phd_course_entry":{"html":"
The course overviews basic concepts and theories in sociolinguistics and bilingualism. It examines their implications for computational approaches to language in respect to the collection and processing of corpora of speech, writing or social media displaying sociolinguistic variation and/or code- switching, borrowing and similar phenomena of multilingual communities.
","fields":{"slug":"/phd-courses/Sociolinguistics-and-bilingualism-for-NLP/"},"frontmatter":{"title":"Sociolinguistics and bilingualism for NLP","date":null},"excerpt":"The course overviews basic concepts and theories in sociolinguistics and bilingualism. It examines their implications for computational…"}},{"phd_course_entry":{"html":"
This course comes into an introductory as well as an advanced version. It is a reading course.
\n
Course content for the introductory version: An introduction to the basic concepts of deep machine learning as applied to problems in natural language processing.
\n
Course content for the advanced version: Advanced applications of deep machine learning as applied to problems in natural language processing and artificial intelligence.
","fields":{"slug":"/phd-courses/Topics-in-Advanced-Deep-Machine-Learning/"},"frontmatter":{"title":"Topics in Advanced Deep Machine Learning","date":null},"excerpt":"This course comes into an introductory as well as an advanced version. It is a reading course. Course content for the introductory version…"}},{"phd_course_entry":{"html":"
The course introduces TTR, a Type Theory with Records, as a framework for natural language grammar and interaction. We follow Cooper (in preparation) in taking a dialogical view of semantics. The course covers the formal foundations of TTR as well as TTR accounts of perception, intensionality, information exchange, grammar (syntax and semantics), quantification, modality and other linguistic phenomena. It also covers the relation between TTR and other type theories for natural language semantics, as well as recent extensions and applications of TTR.
","fields":{"slug":"/phd-courses/Type-Theory-with-Records:-From-Perception-to-Communication/"},"frontmatter":{"title":"Type Theory with Records: From Perception to Communication","date":null},"excerpt":"The course introduces TTR, a Type Theory with Records, as a framework for natural language grammar and interaction. We follow Cooper (in…"}}],"totalCount":9}},"pageContext":{"slug":"/phd-courses/Type-Theory-with-Records:-From-Perception-to-Communication/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/projects/smog/about/page-data.json b/page-data/projects/smog/about/page-data.json
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SMOG is exploring the construction of an enriched stochastic model that\nrepresents the syntactic knowledge that native speakers of English have\nof their language.
\n
We are hoping that this kind of model will provide a straightforward\nexplanation for the fact that individual native speakers generally judge\nthe well formedness of sentences along a continuum, rather than through\nthe imposition of a sharp boundary between acceptable and unacceptable\nsentences.
\n
We are experimenting with different sorts of language models that\ncontain a variety of parameters encoding properties of sentences and\nprobability distributions over corpora.
\n
We are training these models on subsets of the British National\nCorpus (BNC), and we are testing them on\nadditional subsets of the BNC into which we have introduced grammatical\ndeformations and infelicities of varying degrees of severity and\nsubtlety.
\n
We hope to show that a sufficiently complex enriched language model can\nencode a fair amount of what native speakers know about the syntax of\ntheir language.
\n
This research holds out the prospect of important impact in two areas.
\n\n
It can shed light on the relationship between the representation and\nacquisition of linguistic knowledge on one hand, and learning and\nthe encoding of knowledge in other cognitive domains. This can, in\nturn, help to clarify the respective roles of biologically\nconditioned learning biases and data driven learning in human\ncognition. \n
\n
This work can contribute to the development of more effective\nlanguage technology by providing insight into the way in which\nhumans represent the syntactic properties of sentences in their\nlanguage. To the extent that natural language processing systems\ntake account of this class of representations they will provide more
","frontmatter":{"title":"About","date":null},"fields":{"slug":"/projects/smog/about/"}}},"pageContext":{"slug":"/projects/smog/about/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/projects/smog/experiments/page-data.json b/page-data/projects/smog/experiments/page-data.json
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The question of whether it is possible to characterise grammatical\nknowledge in probabilistic terms is central to determining the\nrelationship of linguistic representation to other cognitive domains. We\npresent a statistical model of grammaticality which maps the\nprobabilities of a statistical model for sentences in parts of the BNC\ninto grammaticality scores, using various functions of the parameters of\nthe model. Experiments with a classifier on test sets containing\ndifferent levels of syntactic infelicity have achieved encouraging\nlevels of accuracy. These results suggest that it may be possible to\ncharacterise grammaticality judgements in probabilistic terms using an\nenriched language model (for more details, see\nhere).
\n
In a different set of experiments, we use a set of enriched n-gram\nmodels to track grammaticality judgements for various kinds of passive\nsentences in English. These experiments indicate that our n-gram models\nachieve high accuracy in identifying ill-formed passives in which\nill-formedness depends on local relations within the n-gram frame, but\nthey are far less successful in detecting non-local relations which\nproduce unacceprability in other types of passive construction. We take\nthese results to indicate some of the strengths and limitations of word\nand lexical class n-gram models as candidate representations of\nspeakers' grammatical knowledge (for more details, see\nhere).
In our Cognitive Science 2014 paper Measuring Gradience in Speakers'\nGrammaticality\nJudgements\nwe present evidence that grammaticality is a gradient rather than a\nbinary property. Details of the experiments and the results are given in\nthe paper.
\n
In recent work we use unsupervised language models trained on corpora\nfrom a variety of domains and languages to predict speakers'\ngrammatical acceptability judgements. We apply normalising measures to\nthe probability distributions that these models generate in order to\nfilter out the effects of sentence length and word frequency. These\nmeasures give us predicted grammatical acceptability scores. We evaluate\nthese models against the mean acceptability judgements for crowd sourced\nannotated test sets in which grammatical infelicities have been\nintroduced. We also test the models against sets of crowd sourced\nannotated linguists' examples.
The annotated data sets for our experiments are available below, and the\nopen source toolkit for running our unsupervised models can be accessed\nfrom our software page. Datasets with human-annotated acceptability\nratings (all files are tab-delimited csv files):
","frontmatter":{"title":"Experiments and Datasets","date":null},"fields":{"slug":"/projects/smog/experiments/"}}},"pageContext":{"slug":"/projects/smog/experiments/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/projects/smog/page-data.json b/page-data/projects/smog/page-data.json
new file mode 100644
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--- /dev/null
+++ b/page-data/projects/smog/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-markdown-template-js","path":"/projects/smog/","result":{"data":{"markdownRemark":{"html":"
SMOG is exploring the construction of an enriched stochastic model that\nrepresents the syntactic knowledge that native speakers of English have\nof their language.
\n
We are experimenting with different sorts of language models that\ncontain a variety of parameters encoding properties of sentences and\nprobability distributions over corpora.
\n
You can get a clearer idea of our research by reading the\npapers in\nthe section of the website.
\n
You can also download our\nsoftware\nand run our experiments on your own corpora, modifying parameters and\nchanging the design of the model as you think appropriate.
","frontmatter":{"title":"Welcome to SMOG","date":null},"fields":{"slug":"/projects/smog/"}}},"pageContext":{"slug":"/projects/smog/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/projects/smog/papers/page-data.json b/page-data/projects/smog/papers/page-data.json
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index 0000000000..3143083430
--- /dev/null
+++ b/page-data/projects/smog/papers/page-data.json
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+{"componentChunkName":"component---src-templates-markdown-template-js","path":"/projects/smog/papers/","result":{"data":{"markdownRemark":{"html":"
Lau, J.H., A. Clark, and S. Lappin (2015), Unsupervised Prediction of\nAcceptability\nJudgements,\nin Proceedings of the 53rd Annual Conference of the Association of\nComputational Linguistics, Beijing, July 2015.
Clark, A., G. Giorgolo, and S. Lappin (2013), Towards a Statistical\nModel of\nGrammaticality,\nProceedings of the 35th Annual Conference of the Cognitive Science\nSociety, Berlin, July-August 2013, pp. 2064-2069
","frontmatter":{"title":"Papers","date":null},"fields":{"slug":"/projects/smog/papers/"}}},"pageContext":{"slug":"/projects/smog/papers/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/projects/smog/people/page-data.json b/page-data/projects/smog/people/page-data.json
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index 0000000000..e44d1dbdc9
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","frontmatter":{"title":"People","date":null},"fields":{"slug":"/projects/smog/people/"}}},"pageContext":{"slug":"/projects/smog/people/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/projects/smog/software/page-data.json b/page-data/projects/smog/software/page-data.json
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index 0000000000..b1c4356628
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+{"componentChunkName":"component---src-templates-markdown-template-js","path":"/projects/smog/software/","result":{"data":{"markdownRemark":{"html":"
You can download our software and run our experiments on your own\ncorpora, modifying parameters and changing the design of the model as\nyou think appropriate.
\n
The development of this software was funded by ESRC Research Project\nES/J022969/1. We make it available here for free download. It is to be\nused exclusively for research and teaching purposes. It is not for\ncommercial use, nor is it to be sold.
\n
Please cite the ESRC research project and the relevant papers as the\nsource of the software if you use it for work reported in publications,\nor if you distribute it further.
\n
We do not warranty this software in any way, nor do we guarantee support\nfor it.
\n
We would be interested in receiving bug reports and feedback. We will\ntry to respond to questions in accordance with the time and resources\navailable to us.
\n
In downloading this software you acknowledge these conditions of use,\nand you agree to abide by them.
","frontmatter":{"title":"Software","date":null},"fields":{"slug":"/projects/smog/software/"}}},"pageContext":{"slug":"/projects/smog/software/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/recruitment/page-data.json b/page-data/recruitment/page-data.json
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+{"componentChunkName":"component---src-pages-recruitment-js","path":"/recruitment/","result":{"data":{"recruitments":{"recruitments":[{"recruitments_entry":{"fields":{"slug":"/recruitments/Post-doctoral-position-in-Computational-Linguistics-focused-on-coreference/"},"frontmatter":{"title":"Postdoctoral Researcher in Computational linguistics focused on multimodal coreference","expired":false,"date":"September 28, 2023"},"excerpt":"The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a…"}},{"recruitments_entry":{"fields":{"slug":"/recruitments/Post-doctoral-position-in-Computational-Linguistics-vision/"},"frontmatter":{"title":"Postdoctoral Researcher in Computational linguistics with specialisation in language grounding to vision, robotics, and beyond","expired":false,"date":"September 28, 2023"},"excerpt":"The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a…"}}],"totalCount":2}},"pageContext":{}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/recruitments/Post-doctoral-position-in-Computational-Linguistics-focused-on-coreference/page-data.json b/page-data/recruitments/Post-doctoral-position-in-Computational-Linguistics-focused-on-coreference/page-data.json
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The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract scientists and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.
\n
The Department of Philosophy, Linguistics and Theory of Science at the Faculty of Humanities has around 100 employees and a teaching volume that includes around 350 full-year students. Many large national and international research projects are underway here. Our education includes philosophy, logic, linguistics, language technology, theory of science and liberal arts. The department also conducts research training and development work in these areas.
\n
The Centre for Linguistic Theory and Studies in Probability (CLASP) is based in FLoV at the University of Gothenburg, and is funded by a 10-year grant from the Swedish Research Council (2015-2025). CLASP is devoted to research and advanced training in the application of probabilistic modeling and machine learning methods to core issues in linguistic theory and cognition. It also addresses topics in dialogue and linguistic interaction. For a description of CLASP, see https://www.gu.se/en/clasp.
\n
Subject area
\n
Computational linguistics
\n
Subject area description
\n
The candidate will carry out their research at CLASP, within a project interested in multimodal coreference resolution.
\n
The overarching goal of the project is to construct a multimodal coreference resolution system (MCRS) that uses text and visual input. We will experiment with crowdsourcing methods to annotate training and test corpora. MCRS will be lightweight in that it will use relatively small amounts of data for supervised learning. It will be trainable in a comparatively short period of time. We will build MCRS on top of existing generic deep learning systems, like multimodal BERT, rather than constructing a large, complex special purpose device. MCRS will be a genuine coreference resolution system. It will seek to determine the specific antecedents, and the graphic object to which an anaphoric expression refers. Its performance will be evaluated on the accuracy with which it performs this task, rather than by its success in returning a ranked class of candidates that includes the ground truth antecedent. The project will explore different ways of integrating visual and linguistic representations in integrated embeddings, and we will determine which ones are most efficient in supporting MCR.
\n
Job assignments
\n
The expected candidate is expected to:
\n
\n
Collect, compile and process coreference resolution corpora from different genres, domains and methodologies
\n
Develop and evaluate coreference resolution models
\n
Carry out evaluations of multimodal systems, i.e., images and text (in particular for reference and discourse phenomena)
\n
Develop a multimodal coreference resolution system that uses text and visual input\nThe expected duration of the assignment is 2 years, with possibility of 1-year extension.
\n
\n
The research will be conducted in English.
\n
Apart from research, supplementary duties may include mentoring graduate students, course design, and/or teaching-related activities. These duties are not mandatory and will not exceed 20% of the position’s responsibilities.
\n
The holder of the position is expected to carry out her/his research in Gothenburg and to actively participate in the research group's workshops, seminars, and conferences.
\n
Eligibility
\n
Eligible for a postdoctoral position are those with a PhD or other foreign degree that is deemed equivalent to PhD. The subject of the doctoral thesis should be in a research area relevant to the specific subject description above. Since the postdoctoral position is intended to give junior researchers the opportunity to establish themselves in the field, we aim to employ applicants that graduated with PhDs within 3 years of the application deadline.
\n
Please note that qualifications for postdoctoral appointments are described in more detail at: Avtal om tidsbegränsning anställning som postdoktor (arbetsgivarverket.se)
\n
Assessment
\n
Candidates should have experience with machine learning including deep learning and neural networks, preferably with a background in mainstream natural language processing tasks and methods (e.g., language modeling, parsing, coreference, machine translation, discourse parsing, etc). Interest in the cognitive processes/models behind human language processing and understanding is a key advantage for the position. Experience with psycholinguistic methods focused on designing and running traditional sentence processing methodologies (eye-tracking, pace reading, judgement studies and cloze tests, spacebar reaction time, etc.) is also desirable.
\n
Scientific proficiency is the most important criterion for assessment, and special attention will be given to the applicant’s PhD thesis and other publications. Documented good interpersonal skills, good skills in terms of planning and organizing research, and good skills in communicating research results is also meritorious.
\n
The recruitment process may include interviews (possibly by video link) and contacting references.
\n
Employment
\n
Type of employment: Fixed-term employment, 2 years, with the possibility of a third year
\n
Extent: 100%
\n
Location: Department of Philosophy, Linguistics and Theory of Science, Gothenburg
\n
First day of employment: By agreement
\n
Contact information:
\n
If you have any questions about the position, please contact Sharid Loáiciga, Associate Senior Lecturer, +46(0) 31-786 59 42, sharid.loaiciga@gu.se
\n
If you have any questions about the recruitment process, please contact Jennifer Stråle, HR officer, jennifer.strale@gu.se
In order to apply for a position at the University of Gothenburg, you have to register an account in our online recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline. The selection of candidates is made on the basis of the qualifications registered in the application. Any documents that are not available in electronic format should be mailed to: HR officer, FLoV, Box 200, 405 30 Göteborg.
\n
Please note that the following documents should be attached to the application (in pdf):
\n\n
Personal letter of 500 words maximum (approx. 1 page). The letter should consist of four paragraphs in the following order: a) a short presentation of yourself, b) a short presentation of your merits, c) a short account for why the Department of Philosophy, Linguistics and Theory of Science is of interest to you.
\n
PhD certificate
\n
A CV listing academic degrees, employments, publications, and other relevant merits.
\n
At most three scientific publications, and the applicant’s PhD thesis.
\n\n
We welcome applications written in English, since a non-Swedish speaking person may be appointed as external expert in the recruitment process.
\n
Applications must be received by: November 21, 2023
\n
Information for International Applicants
\n
Choosing a career in a foreign country is a big step. Thus, to give you a general idea of what we and Gothenburg have to offer in terms of benefits and life in general for you and your family/spouse/partner please visit:
The University works actively to achieve a working environment with equal conditions, and values the qualities that diversity brings to its operations.
\n
Salaries are set individually at the University.
\n
In accordance with the National Archives of Sweden’s regulations, the University must archive application documents for two years after the appointment is filled. If you request that your documents are returned, they will be returned to you once the two years have passed. Otherwise, they will be destroyed.
\n
In connection to this recruitment, we have already decided which recruitment channels we should use. We therefore decline further contact with vendors, recruitment and staffing companies.
","fields":{"slug":"/recruitments/Post-doctoral-position-in-Computational-Linguistics-focused-on-coreference/"},"frontmatter":{"expired":false,"title":"Postdoctoral Researcher in Computational linguistics focused on multimodal coreference","date":"September 28, 2023"},"excerpt":"The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a…"}},{"recruitments_entry":{"html":"
The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract scientists and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.
\n
The Department of Philosophy, Linguistics and Theory of Science at the Faculty of Humanities has around 100 employees and a teaching volume that includes around 350 full-year students. Many large national and international research projects are underway here. Our education includes philosophy, logic, linguistics, language technology, theory of science and liberal arts. The department also conducts research training and development work in these areas.
\n
The Centre for Linguistic Theory and Studies in Probability (CLASP) is based in FLoV at the University of Gothenburg, and is funded by a 10-year grant from the Swedish Research Council (2015-2025). CLASP is devoted to research and advanced training in the application of probabilistic modeling and machine learning methods to core issues in linguistic theory and cognition. It also addresses topics in dialogue and linguistic interaction. For a description of CLASP, see https://www.gu.se/en/clasp.
\n
Subject area
\n
Computational Linguistics
\n
Subject area description
\n
The cognitive systems group is a research group within CLASP lead by Simon Dobnik, Professor in Computational Linguistics, which addresses core questions in computational linguistics and language technology from the perspective of relation of language to other modalities. It consists of members of CLASP who work on (i) computational models and machine learning of meaning representations for language, action and perception, (ii) semantic models of language and perception, (iii) referring in visual dialogue, (iv) representation learning in language models, (v) interactive learning with small data, and (vi) multi-modal dialogue, robotics and related topics.
\n
Job assignments
\n
The position gives the candidate the opportunity to consolidate and further develop their scientific skills by conducting research in collaboration with the research group by connecting ideas from several of the following research areas:
\n
\n
Computational semantics,
\n
Grounding language in action and perception,
\n
Generation and understanding of spatial language,
\n
Generation of image descriptions, visual question answering, visual dialogue,
\n
Referring in situated dialogue,
\n
Situated agents / robots and instruction generation and following,
\n
Machine learning with neural networks,
\n
Cross-domain model transfer,
\n
Learning from small data,
\n
Combining top-down (expert-driven) and bottom-up (dataset-driven) models,
\n
Reasoning and inference including Bayesian inference,
\n
Model interpretation, testing and evaluation of unwanted social bias,
\n
Crowd-sourcing for collection and evaluation of research data.
\n
\n
Up to 20% of the position may include duties other than research, such as teaching, supervision of doctoral students and pedagogical development work.
\n
The work must be carried out on site at the University of Gothenburg. The postdoctoral fellow is expected to participate actively in the research group and the subject area's activities, seminars, workshops, and conferences.
\n
The purpose of the position is to give the employee an opportunity to consolidate and develop her/his scientific skills by conducting research in CLASP's core areas of research in cooperation with the research group.
\n
Eligibility
\n
Eligible for a postdoctoral position are those with a PhD or other foreign degree that is deemed equivalent to PhD. The subject of the doctoral thesis should be in a research area relevant to the specific subject description above. Since the postdoctoral position is intended to give junior researchers the opportunity to establish themselves in the field, we aim to employ applicants that graduated with PhDs within 3 years of the application deadline.
\n
Please note that qualifications for postdoctoral appointments are described in more detail at: Avtal om tidsbegränsning anställning som postdoktor (arbetsgivarverket.se)
\n
Assessment
\n
Scientific proficiency is the most important criterion for assessment, and special attention will be given to the applicant’s PhD thesis and other publications. Documented good interpersonal skills, good skills in terms of planning and organizing research, and good skills in communicating research results is also meritorious. Documented experience in more than one of the job assignment areas described above is particularly merited.
\n
The recruitment process may include interviews (possibly by video link) and contacting references.
\n
Employment
\n
Type of employment: Fixed-term employment, 2 years, with the possibility of a third year
\n
Extent: 100%
\n
Location: Department of Philosophy, Linguistics and Theory of Science, Gothenburg
\n
First day of employment: By agreement
\n
Contact information:
\n
If you have any questions about the position, please contact Sharid Loáiciga, Associate Senior Lecturer, +46(0) 31-786 59 42, sharid.loaiciga@gu.se
\n
If you have any questions about the recruitment process, please contact Jennifer Stråle, HR officer, jennifer.strale@gu.se
In order to apply for a position at the University of Gothenburg, you have to register an account in our online recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline. The selection of candidates is made on the basis of the qualifications registered in the application. Any documents that are not available in electronic format should be mailed to: HR officer, FLoV, Box 200, 405 30 Göteborg.
\n
Please note that the following documents should be attached to the application (in pdf):
\n\n
Personal letter of 500 words maximum (approx. 1 page). The letter should consist of four paragraphs in the following order: a) a short presentation of yourself, b) a short presentation of your merits, c) a short account for why the Department of Philosophy, Linguistics and Theory of Science is of interest to you.
\n
PhD certificate
\n
A CV listing academic degrees, employments, publications, and other relevant merits.
\n
At most three scientific publications, and the applicant’s PhD thesis.
\n\n
We welcome applications written in English, since a non-Swedish speaking person may be appointed as external expert in the recruitment process.
\n
Applications must be received by: Novemeber 21, 2023
\n
Information for International Applicants
\n
Choosing a career in a foreign country is a big step. Thus, to give you a general idea of what we and Gothenburg have to offer in terms of benefits and life in general for you and your family/spouse/partner please visit:
The University works actively to achieve a working environment with equal conditions, and values the qualities that diversity brings to its operations.
\n
Salaries are set individually at the University.
\n
In accordance with the National Archives of Sweden’s regulations, the University must archive application documents for two years after the appointment is filled. If you request that your documents are returned, they will be returned to you once the two years have passed. Otherwise, they will be destroyed.
\n
In connection to this recruitment, we have already decided which recruitment channels we should use. We therefore decline further contact with vendors, recruitment and staffing companies.
","fields":{"slug":"/recruitments/Post-doctoral-position-in-Computational-Linguistics-vision/"},"frontmatter":{"expired":false,"title":"Postdoctoral Researcher in Computational linguistics with specialisation in language grounding to vision, robotics, and beyond","date":"September 28, 2023"},"excerpt":"The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a…"}}],"totalCount":2}},"pageContext":{"slug":"/recruitments/Post-doctoral-position-in-Computational-Linguistics-focused-on-coreference/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/recruitments/Post-doctoral-position-in-Computational-Linguistics-vision/page-data.json b/page-data/recruitments/Post-doctoral-position-in-Computational-Linguistics-vision/page-data.json
new file mode 100644
index 0000000000..03b1a565d2
--- /dev/null
+++ b/page-data/recruitments/Post-doctoral-position-in-Computational-Linguistics-vision/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-recruitments-template-js","path":"/recruitments/Post-doctoral-position-in-Computational-Linguistics-vision/","result":{"data":{"recruitments":{"recruitments":[{"recruitments_entry":{"html":"
The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract scientists and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.
\n
The Department of Philosophy, Linguistics and Theory of Science at the Faculty of Humanities has around 100 employees and a teaching volume that includes around 350 full-year students. Many large national and international research projects are underway here. Our education includes philosophy, logic, linguistics, language technology, theory of science and liberal arts. The department also conducts research training and development work in these areas.
\n
The Centre for Linguistic Theory and Studies in Probability (CLASP) is based in FLoV at the University of Gothenburg, and is funded by a 10-year grant from the Swedish Research Council (2015-2025). CLASP is devoted to research and advanced training in the application of probabilistic modeling and machine learning methods to core issues in linguistic theory and cognition. It also addresses topics in dialogue and linguistic interaction. For a description of CLASP, see https://www.gu.se/en/clasp.
\n
Subject area
\n
Computational linguistics
\n
Subject area description
\n
The candidate will carry out their research at CLASP, within a project interested in multimodal coreference resolution.
\n
The overarching goal of the project is to construct a multimodal coreference resolution system (MCRS) that uses text and visual input. We will experiment with crowdsourcing methods to annotate training and test corpora. MCRS will be lightweight in that it will use relatively small amounts of data for supervised learning. It will be trainable in a comparatively short period of time. We will build MCRS on top of existing generic deep learning systems, like multimodal BERT, rather than constructing a large, complex special purpose device. MCRS will be a genuine coreference resolution system. It will seek to determine the specific antecedents, and the graphic object to which an anaphoric expression refers. Its performance will be evaluated on the accuracy with which it performs this task, rather than by its success in returning a ranked class of candidates that includes the ground truth antecedent. The project will explore different ways of integrating visual and linguistic representations in integrated embeddings, and we will determine which ones are most efficient in supporting MCR.
\n
Job assignments
\n
The expected candidate is expected to:
\n
\n
Collect, compile and process coreference resolution corpora from different genres, domains and methodologies
\n
Develop and evaluate coreference resolution models
\n
Carry out evaluations of multimodal systems, i.e., images and text (in particular for reference and discourse phenomena)
\n
Develop a multimodal coreference resolution system that uses text and visual input\nThe expected duration of the assignment is 2 years, with possibility of 1-year extension.
\n
\n
The research will be conducted in English.
\n
Apart from research, supplementary duties may include mentoring graduate students, course design, and/or teaching-related activities. These duties are not mandatory and will not exceed 20% of the position’s responsibilities.
\n
The holder of the position is expected to carry out her/his research in Gothenburg and to actively participate in the research group's workshops, seminars, and conferences.
\n
Eligibility
\n
Eligible for a postdoctoral position are those with a PhD or other foreign degree that is deemed equivalent to PhD. The subject of the doctoral thesis should be in a research area relevant to the specific subject description above. Since the postdoctoral position is intended to give junior researchers the opportunity to establish themselves in the field, we aim to employ applicants that graduated with PhDs within 3 years of the application deadline.
\n
Please note that qualifications for postdoctoral appointments are described in more detail at: Avtal om tidsbegränsning anställning som postdoktor (arbetsgivarverket.se)
\n
Assessment
\n
Candidates should have experience with machine learning including deep learning and neural networks, preferably with a background in mainstream natural language processing tasks and methods (e.g., language modeling, parsing, coreference, machine translation, discourse parsing, etc). Interest in the cognitive processes/models behind human language processing and understanding is a key advantage for the position. Experience with psycholinguistic methods focused on designing and running traditional sentence processing methodologies (eye-tracking, pace reading, judgement studies and cloze tests, spacebar reaction time, etc.) is also desirable.
\n
Scientific proficiency is the most important criterion for assessment, and special attention will be given to the applicant’s PhD thesis and other publications. Documented good interpersonal skills, good skills in terms of planning and organizing research, and good skills in communicating research results is also meritorious.
\n
The recruitment process may include interviews (possibly by video link) and contacting references.
\n
Employment
\n
Type of employment: Fixed-term employment, 2 years, with the possibility of a third year
\n
Extent: 100%
\n
Location: Department of Philosophy, Linguistics and Theory of Science, Gothenburg
\n
First day of employment: By agreement
\n
Contact information:
\n
If you have any questions about the position, please contact Sharid Loáiciga, Associate Senior Lecturer, +46(0) 31-786 59 42, sharid.loaiciga@gu.se
\n
If you have any questions about the recruitment process, please contact Jennifer Stråle, HR officer, jennifer.strale@gu.se
In order to apply for a position at the University of Gothenburg, you have to register an account in our online recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline. The selection of candidates is made on the basis of the qualifications registered in the application. Any documents that are not available in electronic format should be mailed to: HR officer, FLoV, Box 200, 405 30 Göteborg.
\n
Please note that the following documents should be attached to the application (in pdf):
\n\n
Personal letter of 500 words maximum (approx. 1 page). The letter should consist of four paragraphs in the following order: a) a short presentation of yourself, b) a short presentation of your merits, c) a short account for why the Department of Philosophy, Linguistics and Theory of Science is of interest to you.
\n
PhD certificate
\n
A CV listing academic degrees, employments, publications, and other relevant merits.
\n
At most three scientific publications, and the applicant’s PhD thesis.
\n\n
We welcome applications written in English, since a non-Swedish speaking person may be appointed as external expert in the recruitment process.
\n
Applications must be received by: November 21, 2023
\n
Information for International Applicants
\n
Choosing a career in a foreign country is a big step. Thus, to give you a general idea of what we and Gothenburg have to offer in terms of benefits and life in general for you and your family/spouse/partner please visit:
The University works actively to achieve a working environment with equal conditions, and values the qualities that diversity brings to its operations.
\n
Salaries are set individually at the University.
\n
In accordance with the National Archives of Sweden’s regulations, the University must archive application documents for two years after the appointment is filled. If you request that your documents are returned, they will be returned to you once the two years have passed. Otherwise, they will be destroyed.
\n
In connection to this recruitment, we have already decided which recruitment channels we should use. We therefore decline further contact with vendors, recruitment and staffing companies.
","fields":{"slug":"/recruitments/Post-doctoral-position-in-Computational-Linguistics-focused-on-coreference/"},"frontmatter":{"expired":false,"title":"Postdoctoral Researcher in Computational linguistics focused on multimodal coreference","date":"September 28, 2023"},"excerpt":"The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a…"}},{"recruitments_entry":{"html":"
The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract scientists and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.
\n
The Department of Philosophy, Linguistics and Theory of Science at the Faculty of Humanities has around 100 employees and a teaching volume that includes around 350 full-year students. Many large national and international research projects are underway here. Our education includes philosophy, logic, linguistics, language technology, theory of science and liberal arts. The department also conducts research training and development work in these areas.
\n
The Centre for Linguistic Theory and Studies in Probability (CLASP) is based in FLoV at the University of Gothenburg, and is funded by a 10-year grant from the Swedish Research Council (2015-2025). CLASP is devoted to research and advanced training in the application of probabilistic modeling and machine learning methods to core issues in linguistic theory and cognition. It also addresses topics in dialogue and linguistic interaction. For a description of CLASP, see https://www.gu.se/en/clasp.
\n
Subject area
\n
Computational Linguistics
\n
Subject area description
\n
The cognitive systems group is a research group within CLASP lead by Simon Dobnik, Professor in Computational Linguistics, which addresses core questions in computational linguistics and language technology from the perspective of relation of language to other modalities. It consists of members of CLASP who work on (i) computational models and machine learning of meaning representations for language, action and perception, (ii) semantic models of language and perception, (iii) referring in visual dialogue, (iv) representation learning in language models, (v) interactive learning with small data, and (vi) multi-modal dialogue, robotics and related topics.
\n
Job assignments
\n
The position gives the candidate the opportunity to consolidate and further develop their scientific skills by conducting research in collaboration with the research group by connecting ideas from several of the following research areas:
\n
\n
Computational semantics,
\n
Grounding language in action and perception,
\n
Generation and understanding of spatial language,
\n
Generation of image descriptions, visual question answering, visual dialogue,
\n
Referring in situated dialogue,
\n
Situated agents / robots and instruction generation and following,
\n
Machine learning with neural networks,
\n
Cross-domain model transfer,
\n
Learning from small data,
\n
Combining top-down (expert-driven) and bottom-up (dataset-driven) models,
\n
Reasoning and inference including Bayesian inference,
\n
Model interpretation, testing and evaluation of unwanted social bias,
\n
Crowd-sourcing for collection and evaluation of research data.
\n
\n
Up to 20% of the position may include duties other than research, such as teaching, supervision of doctoral students and pedagogical development work.
\n
The work must be carried out on site at the University of Gothenburg. The postdoctoral fellow is expected to participate actively in the research group and the subject area's activities, seminars, workshops, and conferences.
\n
The purpose of the position is to give the employee an opportunity to consolidate and develop her/his scientific skills by conducting research in CLASP's core areas of research in cooperation with the research group.
\n
Eligibility
\n
Eligible for a postdoctoral position are those with a PhD or other foreign degree that is deemed equivalent to PhD. The subject of the doctoral thesis should be in a research area relevant to the specific subject description above. Since the postdoctoral position is intended to give junior researchers the opportunity to establish themselves in the field, we aim to employ applicants that graduated with PhDs within 3 years of the application deadline.
\n
Please note that qualifications for postdoctoral appointments are described in more detail at: Avtal om tidsbegränsning anställning som postdoktor (arbetsgivarverket.se)
\n
Assessment
\n
Scientific proficiency is the most important criterion for assessment, and special attention will be given to the applicant’s PhD thesis and other publications. Documented good interpersonal skills, good skills in terms of planning and organizing research, and good skills in communicating research results is also meritorious. Documented experience in more than one of the job assignment areas described above is particularly merited.
\n
The recruitment process may include interviews (possibly by video link) and contacting references.
\n
Employment
\n
Type of employment: Fixed-term employment, 2 years, with the possibility of a third year
\n
Extent: 100%
\n
Location: Department of Philosophy, Linguistics and Theory of Science, Gothenburg
\n
First day of employment: By agreement
\n
Contact information:
\n
If you have any questions about the position, please contact Sharid Loáiciga, Associate Senior Lecturer, +46(0) 31-786 59 42, sharid.loaiciga@gu.se
\n
If you have any questions about the recruitment process, please contact Jennifer Stråle, HR officer, jennifer.strale@gu.se
In order to apply for a position at the University of Gothenburg, you have to register an account in our online recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline. The selection of candidates is made on the basis of the qualifications registered in the application. Any documents that are not available in electronic format should be mailed to: HR officer, FLoV, Box 200, 405 30 Göteborg.
\n
Please note that the following documents should be attached to the application (in pdf):
\n\n
Personal letter of 500 words maximum (approx. 1 page). The letter should consist of four paragraphs in the following order: a) a short presentation of yourself, b) a short presentation of your merits, c) a short account for why the Department of Philosophy, Linguistics and Theory of Science is of interest to you.
\n
PhD certificate
\n
A CV listing academic degrees, employments, publications, and other relevant merits.
\n
At most three scientific publications, and the applicant’s PhD thesis.
\n\n
We welcome applications written in English, since a non-Swedish speaking person may be appointed as external expert in the recruitment process.
\n
Applications must be received by: Novemeber 21, 2023
\n
Information for International Applicants
\n
Choosing a career in a foreign country is a big step. Thus, to give you a general idea of what we and Gothenburg have to offer in terms of benefits and life in general for you and your family/spouse/partner please visit:
The University works actively to achieve a working environment with equal conditions, and values the qualities that diversity brings to its operations.
\n
Salaries are set individually at the University.
\n
In accordance with the National Archives of Sweden’s regulations, the University must archive application documents for two years after the appointment is filled. If you request that your documents are returned, they will be returned to you once the two years have passed. Otherwise, they will be destroyed.
\n
In connection to this recruitment, we have already decided which recruitment channels we should use. We therefore decline further contact with vendors, recruitment and staffing companies.
","fields":{"slug":"/recruitments/Post-doctoral-position-in-Computational-Linguistics-vision/"},"frontmatter":{"expired":false,"title":"Postdoctoral Researcher in Computational linguistics with specialisation in language grounding to vision, robotics, and beyond","date":"September 28, 2023"},"excerpt":"The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a…"}}],"totalCount":2}},"pageContext":{"slug":"/recruitments/Post-doctoral-position-in-Computational-Linguistics-vision/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/research/cognitive-systems-group/page-data.json b/page-data/research/cognitive-systems-group/page-data.json
new file mode 100644
index 0000000000..f9ed9dade8
--- /dev/null
+++ b/page-data/research/cognitive-systems-group/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-markdown-template-js","path":"/research/cognitive-systems-group/","result":{"data":{"markdownRemark":{"html":"
In the Cognitive ststems research group we are looking at formal and distributional models (and anything in between) of language used by situated agents interacting with each other and with the physical world around them through action and perception. We investigate areas such representations of meaning in computational approaches to language, action, and perception, for example of spatial descriptions, generations and interpretation of scene description, multi-modal communication, situated dialogue systems, and other.
2023-05-15: We are co-organising the Workshop on Resources and representations for under-resourced languages and domains (RESOURCEFUL-2023) at NoDaLiDa, website
\n
2023-05-11: PhD position within the Gradma Karl research environment, deadline 27 June, more details
\n
2023-05-02: Postdoc position, deadline 1 June: Postdoctoral Researcher in Computational linguistics with specialisation in language grounding to vision, robotics, and beyond, more details
\n
2023-04-28: article in GU-Journal 02-2023: Language models with a human touch, read here
","frontmatter":{"title":"Cognitive Systems Group","date":null},"fields":{"slug":"/research/cognitive-systems-group/"}}},"pageContext":{"slug":"/research/cognitive-systems-group/"}},"staticQueryHashes":["3875542623"]}
\ No newline at end of file
diff --git a/page-data/research/dialogue-group/meetings/page-data.json b/page-data/research/dialogue-group/meetings/page-data.json
new file mode 100644
index 0000000000..bd735fbf88
--- /dev/null
+++ b/page-data/research/dialogue-group/meetings/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-markdown-template-js","path":"/research/dialogue-group/meetings/","result":{"data":{"markdownRemark":{"html":"
Boleda, G., Aina, L., Silberer, C., Sorodoc, I. T., & Westera, M. (2019). What do entity-centric models learn? Insights from entity linking in multi-party dialogue. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies; 2019 Jun 2-7; Minneapolis, United States of America. Stroudsburg (PA): ACL; 2019. p. 3772–83.. ACL (Association for Computational Linguistics). https://repositori.upf.edu/bitstream/handle/10230/42450/boleda_naacl19_entity.pdf?sequence=1&isAllowed=y (suggested by Fahima)
\n
Ahn, E., Jimenez, C., Tsvetkov, Y., & Black, A. W. (2020, January). What code-switching strategies are effective in dialog systems?. In Proceedings of the Society for Computation in Linguistics 2020 (pp. 254-264). (suggested by Fahima)
\n
Acton, E. (2022). Sociophonetics, semantics, and intention. Journal of Linguistics, 1-30. doi:10.1017/S0022226721000475 (suggested by Robin)
\n
Bare plurals; possibly: Carlson, Greg N. A Unified Analysis of the English Bare Plural in Formal Semantics: The Essential Readings. 2008. (Suggested by Ellen)
Stateva, P., Andreetta, S., Reboul, A., & Stepanov, A. (2021). Bilingual Children’s Use of the ‘Maximize Presupposition’ Principle. Glossa: a journal of general linguistics (2016-2021), 6. https://hal.science/hal-03337015/document (lead by Fahima)
Sinclair, A. J., & Fernández, R. (2022). Alignment of code switching varies with proficiency in second language learning dialogue. System, 102952. (Led by Fahima)
Franzén, A. G., Jonsson, R., & Sjöblom, B. (2021). Fear, anger, and desire: Affect and the interactional intricacies of rape humor on a live podcast. Language in Society, 50(5), 763–786. https://doi.org/10.1017/S0047404520000615 (Led by Vlad and/or Chris)
Franke, M., De Jager, T., & Van Rooij, R. (2012). Relevance in Cooperation and Conflict. Journal of Logic and Computation, 22(1), 23–54. https://doi.org/10.1093/logcom/exp070 (suggested by Eleni)
\n
21 January 2022 -- [10h-12h]
\n
Beltrama, A., & Schwarz, F. (2021). Imprecision, personae, and pragmatic reasoning. Semantics and Linguistic Theory, 31(0), 122–144. https://doi.org/10.3765/salt.v31i0.5107 (led by Bill)
\n
10 December 2021 -- [10h-12h]
\n
\n
Põldvere, N., Fuoli, M., & Paradis, C. (2016). A study of dialogic expansion and contraction in spoken discourse using corpus and experimental techniques. Corpora, 11(2), 191–225. https://doi.org/10.3366/cor.2016.0092 (led by Bill)
\n
\n
26 November 2021 -- [10h-12h]
\n
\n
Venhuizen, N. J., Hendriks, P., Crocker, M. W., & Brouwer, H. (2019). A Framework for Distributional Formal Semantics. In R. Iemhoff, M. Moortgat, & R. de Queiroz (Eds.), Logic, Language, Information, and Computation (pp. 633–646). Springer. (led by Robin)
\n
\n
29 October 2021 -- [10h-12h]
\n
\n
Venhuizen, Noortje J., et al. \"Expectation-Based Comprehension: Modeling the Interaction of World Knowledge and Linguistic Experience.\" Discourse Processes, vol. 56, no. 3, Apr. 2019, pp. 229--55. (led by Alex)
Hough, J., Jamone, L., Schlangen, D., Walck, G., & Haschke, R. (n.d.). A Types-As-Classifiers Approach to Human-Robot Interaction for Continuous Structured State Classification. 13.
\n
28 May 2021 -- [10h-12h]
\n
Benotti, L., & Blackburn, P. (2021). Grounding as a Collaborative Process. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 515–531. (Led Robin & Bill)
\n
30 April 2021 -- [13h-15h]
\n
A manuscript about meaning acquisition, in preparation. (Led by Robin)
\n
16 April 2021 -- [10h-12h]
\n
Fabrizio Cariani & Lance J. Rips, Experimenting with (Conditional) Perfection (Forthcoming) (Lead by Ellen)
\n
19 March 2021 -- [13h-15h]
\n
\n
Weichold, M., & Thonhauser, G. (2020). Collective Affordances. Ecological Psychology, 32(1), 1–24. (Led by Eleni)
Ducrot, O., & Žagar, I. Ž. (2009). Slovenian lectures introduction into argumentative semantics. Pedagoški inštitut. (Last two lectures; Led by Bill)
\n
\n
22 January 2021 -- [13h-15h]
\n
\n
Ducrot, O., & Žagar, I. Ž. (2009). Slovenian lectures introduction into argumentative semantics. Pedagoški inštitut. (First three lectures; Led by Bill)
\n
\n
11 December 2020 -- [13h-15h]
\n
\n
Led by: Robin Cooper
\n
Erk, K., & Herbelot, A. (n.d.). How to marry a star: Probabilistic constraints for meaning in context.\n(in prep.)\nArXiv
\n
\n
9 October 2020
\n
\n
Jonathan Ginzburg (2012). The Interactive Stance. Chapter 4
\n
\n
8 May 2020
\n
\n
Jonathan Ginzburg (2012). The Interactive Stance. Chapters 2 & 3
\n
\n
24 April 2020
\n
\n
Jonathan Ginzburg (2012). The Interactive Stance. Chapters 1 & 2
\n
\n
8 April 2020
\n
\n
Led by: Bill Noble
\n
Eckert, Penelope (2019). The limits of meaning: Social indexicality, variation, and the cline of interiority
\n
\n
27 March 2020
\n
\n
Organizational meeting
\n
\n
17 January 2020 -- [13h-15h]
\n
\n
Led by: Bill Noble
\n
Lev-Ari, Shiri. \"Social Network Size Can Influence Linguistic\nMalleability and the Propagation of Linguistic Change.\" Cognition,\nvol. 176, July 2018, pp. 31--39.\nGU UB Access
Mills, Gregory J. \"Dialogue in Joint Activity: Complementarity,\nConvergence and Conventionalization.\" New Ideas in Psychology,\nvol. 32, Jan. 2014, pp. 158--73.
28th May 2019 -- joint seminar with Semantics and Pragmatics (LI1404)
\n
\n
Led by: Bill Noble
\n
Mills, Gregory, and Pat Healey. \"Semantic Negotiation in Dialogue:\nThe Mechanisms of Alignment.\" Proceedings of the 9th SIGdial\nWorkshop on Discourse and Dialogue, 2008, pp. 46--53.
\n
\n
10th May 2019 -- joint seminar with Semantics and Pragmatics (LI1404)
\n
\n
Led by: Ellen Breitzholtz
\n
Searle, John R. \"A Taxonomy of Illocutionary Acts.\" Expression and\nMeaning: Studies in the Theory of Speech Acts, Cambridge University\nPress, 1979. DOI.org (Crossref), doi:10.1017/CBO9780511609213.
Brown-Schmidt, Sarah. \"Beyond Common and Privileged: Gradient\nRepresentations of Common Ground in Real-Time Language Use.\"\nLanguage and Cognitive Processes, vol. 27, no. 1, Jan. 2012, pp.\n62--89. Crossref
\n
\n
29th March 2019
\n
\n
Led by: Chris Howes Ellen Breitholtz with Eleni\nGregoromichelaki
\n
Stalnaker, Robert. \"On the Representation of Context.\" Journal of\nLogic, Language and Information, vol. 7, no. 1, Jan. 1998, pp.\n3--19. Springer\nLink
Kempson, Ruth, Ronnie Cann, Eleni Gregoromichelaki, and Stergios\nChatzikyriakidis. \"Language as Mechanisms for Interaction.\"\nTheoretical Linguistics 42, no. 3--4 (January 1, 2016).\nhttps://doi.org/10.1515/tl-2016-0011.
Clark, H. H., & Brennan, S. E. (1991). Grounding in\ncommunication.\nPerspectives on socially shared cognition, 13(1991), 127-149.
\n
\n
2nd February 2018 - joint Dialogue and Language and Perception reading group
\n
\n
Led by: Robin Cooper
\n
[Pustejovsky, J. (2018), From affordances to events: Communicating\naction through language and gesture. MS (not for distribution;\ne-mail me for pdf)]{style=\"font-family: arial;\" face=\"arial\"}
\n
\n
19th January 2018
\n
\n
Led by: Chris Howes
\n
[Cowley, S. J. & Harvey, M. I. (2016), The illusion of common ground\nNew Ideas in Psychology, Elsevier, 42, 56-63\n[link]]{style=\"font-family: arial;\"\nface=\"arial\"}
\n
\n
15 December 2017
\n
\n
Led by: Ellen Breitholtz
\n
Ginzburg, J. (2010) `Questions: Logic and Interaction.' In van\nBenthem and ter Meulen (eds.) Handbook of Logic and Language, 2nd\nEdition\nElsevier [pdf]
\n
\n
17th November 2017
\n
\n
Led by: Sylvie Saget
\n
Thomas, K.A., DeScioli, P., Haque, O.S., & Pinker, S. (2014) The\npsychology of coordination and common knowledge, Journal of[\npersonality and social psychology, 107(4).\n[pdf]]{.Apple-converted-space}
\n
\n
3rd November 2017
\n
\n
Led by: Vlad Maraev
\n
Jefferson, G., Sacks, H., & Schegloff, E. (1977). Preliminary notes\non the sequential organization of laughter. Pragmatics Microfiche,\n1, 2--9.\n[pdf]
\n
","frontmatter":{"title":"Dialogue","date":null},"fields":{"slug":"/research/dialogue-group/meetings/"}}},"pageContext":{"slug":"/research/dialogue-group/meetings/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/research/dialogue-group/page-data.json b/page-data/research/dialogue-group/page-data.json
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--- /dev/null
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@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-markdown-template-js","path":"/research/dialogue-group/","result":{"data":{"markdownRemark":{"html":"
We study dialogue from a number of different perspectives, including experimental, computational, formal and qualitative methods.
Join the mailing list to be updated about upcoming reading group meetigs\nand other exciting dialogue-related discussion, announcements, and so on.
\n
The main people in the dialogue research group are:
\n
\n
Christine Howes (group leader)
\n
Ellen Breitholtz
\n
Robin Cooper
\n
Staffan Larsson
\n
Eleni Gregoromichelaki
\n
Ruth Kempson
\n
\n
PhD students:
\n
\n
Alexander Berman
\n
\n
In addition, the following members of CLASP have research which overlaps with our area:
\n
\n
Simon Dobnik
\n
Adam Ek
\n
Asad Sayeed
\n
","frontmatter":{"title":"Dialogue Research Group","date":null},"fields":{"slug":"/research/dialogue-group/"}}},"pageContext":{"slug":"/research/dialogue-group/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/research/machine-learning-group/page-data.json b/page-data/research/machine-learning-group/page-data.json
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index 0000000000..7a21235c4d
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@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-markdown-template-js","path":"/research/machine-learning-group/","result":{"data":{"markdownRemark":{"html":"
\n \n \n \n \n \n\"The SORONPFRBS, a fictional band from the movie Frank.\"
\n\n
In the \"Machine Learning, Cognitive Modeling, and Natural Language Processing\" (MLCMNLP) group, we are looking at bringing cognitive modeling and theoretical linguistics together with corpus-based, machine learning approaches to both traditional and recent natural language processing problems. We cover a variety of activities with a particular emphasis on language resource development and applications of human-collected data, be it annotations or experimental results from psycholinguistic research.
\n
Members of the group:
\n
\n
Asad Sayeed (group leader)
\n
More or less everyone else in CLASP (faculty, Ph.D. students, postdocs) who is interested in machine learning approaches and human cognitive plausibility; these days this is literally just everyone.
\n
\n
Ph.D. students (of whom Asad is first supervisor)
\n
\n
Vidya Somashekarappa
\n
Axel Almquist
\n
\n
Ph.D. courses
\n
\n
Machine Learning, Cognitive Modeling, and Natural Language Processing (standing project/reading course)
\n
It's evaluation's world, we just live in it (to be offered second half of Fall 2020)
\n
\n
International collaborations
\n
\n
Devdatt Dubhashi's group at Chalmers
\n
Yuval Marton (Bloomberg/University of Washington)
\n
Vera Demberg's group at Saarland University
\n
. . . and others, we are always seeking out collaboration opportunities.
\n
\n
Funded projects
\n
\n
Gothenburg Research Initiative for Politically Emergent Systems (GRIPES) -- Marianne och Marcus Wallenbergstiftelsen, WASP-HS
\n
","frontmatter":{"title":"Machine Learning, Cognitive Modeling, and Natural Language Processing Group (MLCMNLP)","date":null},"fields":{"slug":"/research/machine-learning-group/"}}},"pageContext":{"slug":"/research/machine-learning-group/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/research/page-data.json b/page-data/research/page-data.json
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+{"componentChunkName":"component---src-pages-research-js","path":"/research/","result":{"pageContext":{}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/research/type-theory-group/page-data.json b/page-data/research/type-theory-group/page-data.json
new file mode 100644
index 0000000000..7eba688af6
--- /dev/null
+++ b/page-data/research/type-theory-group/page-data.json
@@ -0,0 +1 @@
+{"componentChunkName":"component---src-templates-markdown-template-js","path":"/research/type-theory-group/","result":{"data":{"markdownRemark":{"html":"
The Type Theory group is devoted to the study of Type Theoretical methods for NLP and Formal Semantics. The group is led by Rasmus Blanck.
\n
Group members:
\n
\n
Rasmus Blanck
\n
Ellen Breitholtz
\n
Shalom Lappin
\n
Robin Cooper
\n
Staffan Larsson
\n
\n
The group’s activities involve invited talks by prominent researchers in the field, organizing workshops on Type Theory and exploring connections between Type Theory and Probability and/or Machine Learning.
","frontmatter":{"title":"Type Theory Research Group","date":null},"fields":{"slug":"/research/type-theory-group/"}}},"pageContext":{"slug":"/research/type-theory-group/"}},"staticQueryHashes":["3875542623"]}
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diff --git a/page-data/sq/d/3875542623.json b/page-data/sq/d/3875542623.json
new file mode 100644
index 0000000000..9cbde9fde3
--- /dev/null
+++ b/page-data/sq/d/3875542623.json
@@ -0,0 +1 @@
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The Centre for Linguistic Theory and Studies in Probability
Amandine Decker
PhD Student
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The Centre for Linguistic Theory and Studies in Probability
David-Pagmar
Post-doc
David Pagmar is a Post-doc at CLASP.
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The Centre for Linguistic Theory and Studies in Probability
Eleni Gregoromichelaki
Associate member
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The Centre for Linguistic Theory and Studies in Probability
Rasmus Blanck
Associate Senior Lecturer in Computational Linguistics
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The Centre for Linguistic Theory and Studies in Probability
Adam Ek
PhD student
Adam Ek was a PhD student at CLASP.
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diff --git a/people/aleksandre-maskharashvili/index.html b/people/aleksandre-maskharashvili/index.html
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The Centre for Linguistic Theory and Studies in Probability
Aleksandre Maskharashvili
Post-doc
Aleksandre Maskharashvili was a Post-doc at CLASP (2018-2020). He is now at Ohio State University.
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diff --git a/people/alexander-berman/index.html b/people/alexander-berman/index.html
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The Centre for Linguistic Theory and Studies in Probability
Alexander Berman
PhD Student
Alex Berman's research interests span across cognitive science, human-computer interaction (particularly dialogue systems), philosophy, ethics and computational creativity.
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diff --git a/people/alexander-clark/index.html b/people/alexander-clark/index.html
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The Centre for Linguistic Theory and Studies in Probability
Alexander Clark
Associate Researcher
Alex Clark is a researcher in computational linguistics specialising in grammatical inference, and theoretical and mathematical approaches to unsupervised learning and their application to language acquisition. He has taught in the Computer Science department of Royal Holloway, University of London, and in the Department of Philosophy at King's College London.
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diff --git a/people/aram-karimi/index.html b/people/aram-karimi/index.html
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The Centre for Linguistic Theory and Studies in Probability
Aram Karimi
AI researcher and programmer
I’m a researcher and programmer at CLASP. I did my master at Artificial Intelligente and Computer Science. My research focuses on deep learning and machine learning, especially in NLP fields. I’d like to study about multi task learning, dynamic learning, Computational cognitive science and neurosciences.
+Now I’m working on text recommendation using Deep Neural Network. This approach combines metrics of traditional collaborative filtering and Deep learning modelings.
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diff --git a/people/asad-sayeed/index.html b/people/asad-sayeed/index.html
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The Centre for Linguistic Theory and Studies in Probability
Asad Sayeed
Senior Lecturer in Machine Learning
Asad Sayeed is a Senior Lecturer in Machine Learning at CLASP.
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diff --git a/people/axel-almquist/index.html b/people/axel-almquist/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Axel Almquist
PhD Student
I am a PhD student in computational Linguistics. In my research I aim to investigate the strength of different neural network architectures and linguistic representations in the task of identifying and linking segments in text.
+Thus far I have been working on replicating Argument Mining studies and on building a framework to facilitate future research in segmentation and linking tasks.
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diff --git a/people/bill-noble/index.html b/people/bill-noble/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Bill Noble
PhD student
Bill Noble was a PhD student at CLASP.
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diff --git a/people/charalambos-themistocleous/index.html b/people/charalambos-themistocleous/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Charalambos Themistocleous
Post-doc
Charalambos Themistocleous was a Post-doc (2016-2018). He is now at John Hopkins.
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diff --git a/people/chris-fox/index.html b/people/chris-fox/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
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diff --git a/people/christine-howes/index.html b/people/christine-howes/index.html
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The Centre for Linguistic Theory and Studies in Probability
Christine Howes
Senior Lecturer in Computational Linguistics (Docent in Computational Linguistics)
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diff --git a/people/ellen-breitholtz/index.html b/people/ellen-breitholtz/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Ellen Breitholtz
Researcher
Ellen Breitholtz is a Researcher at CLASP.
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diff --git a/people/hanna-edblom/index.html b/people/hanna-edblom/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Hanna Edblom
Administrator
Hanna Edblom was a administrator at CLASP.
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diff --git a/people/iines-turunen/index.html b/people/iines-turunen/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Iines Turunen
Administrator
Iines Turunen was a administrator at CLASP.
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+
The Centre for Linguistic Theory and Studies in Probability
Yuri Bizzoni was a PhD student at CLASP, and defended February 2019 (now in Saarbrücken).
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diff --git a/people/jean-philippe-bernardy/index.html b/people/jean-philippe-bernardy/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
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diff --git a/people/jenny-nilsson/index.html b/people/jenny-nilsson/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Jenny Nilsson
Administrator
Jenny Nilsson was a administrator at CLASP.
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diff --git a/people/jenny-tu/index.html b/people/jenny-tu/index.html
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The Centre for Linguistic Theory and Studies in Probability
Jenny Tu
Administrator
Jenny Tu was a administrator at CLASP.
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diff --git a/people/julian-grove/index.html b/people/julian-grove/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Julian Grove
Post-doc
Julian Grove was a Post-doc at CLASP (2020-2022).
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diff --git a/people/kathrein-abu-kwaik/index.html b/people/kathrein-abu-kwaik/index.html
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The Centre for Linguistic Theory and Studies in Probability
Kathrein Abu Kwaik
PhD Student
Kathrein Abu Kwaik was a PhD Student at CLASP.
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diff --git a/people/mehdi-ghanimifard/index.html b/people/mehdi-ghanimifard/index.html
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The Centre for Linguistic Theory and Studies in Probability
Mehdi Ghanimifard
PhD Student
Mehdi Ghanimifard was a PhD Student at CLASP.
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diff --git a/people/nikolai-ilinykh/index.html b/people/nikolai-ilinykh/index.html
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The Centre for Linguistic Theory and Studies in Probability
Nikolai Ilinykh
PhD Student
I am a PhD student in computational linguistics interested in various aspects of language-and-vision research. In particular, I study development of artificial agents, which could navigate and describe what they see, while holding a meaningful conversation with a human about their surroundings.
+
More information is available at my website. You can contact me by writing to nikolai.ilinykh@gu.se.
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The Centre for Linguistic Theory and Studies in Probability
Nina Tahmasebi
Senior Lecturer in Computational Linguistics
Nina Tahmasebi, Senior Lecturer in Computational Linguistics at CLASP.
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diff --git a/people/rasmus-blanck/index.html b/people/rasmus-blanck/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Rasmus Blanck
Post-doc
Rasmus Blanck was a Post-doc at CLASP (2018-2020).
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diff --git a/people/robin-cooper/index.html b/people/robin-cooper/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
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The Centre for Linguistic Theory and Studies in Probability
Ruth Kempson
Associate Researcher
Brief Biography
+
Ruth Kempson Fellow of British Academy, Member of Academia Europaea
From 1970 to 1998 I taught Semantics at the School of Oriental and African Studies (SOAS), and from 1999-2009 I was Professor of Linguistics in the Philosophy Department of King’s College (KCL). Throughout this period I worked on the interface of syntax, semantics and pragmatics, as part of a long-term interest on the intermingling of linguistic and non-linguistic aspects of interpretation. With Wilfried Meyer-Viol and Dov Gabbay I set out the Dynamic Syntax (DS) framework, which in its development has attracted a number of people who have helped to provide substance to a radical rethinking of the foundations of language. In DS, languages are defined as systems of conditional context-dependent actions underpinning and reflecting the incrementality of all language processing, all such actions constituting affordances in the sense of Rietveld et al 2018. This emergent work has been funded by a number of research projects, in particular a collaborative project with Pat Healey and colleagues at Queen Mary University of London (QMUL), and with Wilfried Meyer-Viol at KCL: The Dynamics of Conversational Dialogue (ESRC) and a Dialogue Matters project (Leverhulme). Notable contributors to the framework amongst many others have been CLASP colleagues Eleni Gregoromichelaki, Stergios Chatzikyriakidis, and Christine Howes. This project has been a notable team effort, the sum very much more than any of us could have achieved alone: I feel honoured and delighted at having been part of such a collaborative and ever evolving project.
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The Centre for Linguistic Theory and Studies in Probability
Ruth Kempson
Associate Researcher
Contacts
+
Telephone: 0044 781 754 4164
+
Postal Address: 67 Hendon Wood Lane, London, NW7 4HT, UK
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The Centre for Linguistic Theory and Studies in Probability
Ruth Kempson
Associate Researcher
Ruth Kempson, Fellow of the British Academy, Member of Academia Europaea
My research is broadly in linguistics as an integral part of cognitive science, with special focus on re-thinking the foundations of language in action-based terms. My special interests currently include conversational dialogue modelling, modelling grammars as mechanisms for interaction, procedural bases for syntax and semantics, nondeterminism of language content, parallels between stances adopted in ancient Indian Buddhist philosophy and current issues of debate in cognition. I was the lead developer of the Dynamic Syntax framework 2000-2020.
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The Centre for Linguistic Theory and Studies in Probability
Ruth Kempson
Associate Researcher
Recent Publications
+
Purver, M., Sadrzadeh, M., Kempson, R., Wijnholds, G. & Hough, J. (2021). Incremental Composition in Distributional Semantics. Journal of Logic, Language and Information,
+
Gregoromichelaki, E. Kempson, R. Howes, C. (2020) Actionism in Syntax and Semantics in Howes, C., Dobnik, S. and Breitholtz, E., (eds.) CLASP Papers in Computational Linguistics Volume 2: Dialogue and Perception - Extended papers from DaP2018 Gothenburg : GUPEA, ISSN 2002-264, http://hdl.handle.net/2077/63998
Gregoromichelaki, E., Chatzikyriakidis, S., Eshghi, A., Hough, J., Howes, C., Kempson, R. 2020). Affordance competition in dialogue: the case of syntactic universals. In Proceedings of the 24th Workshop on the Semantics and Pragmatics of Dialogue. SEMDIAL
+
Gregoromichelaki, E. & Kempson, R (2019) Procedural Syntax. In Carston R, Clark B, & Scott K. (eds), Relevance:: Pragmatics and Interpretation. Cambridge University Press.
+
Kempson, R., Gregoromichelaki, E., Eshghi, A., Hough, J. (2019). “Ellipsis in Dynamic Syntax” In: Jeroen van Craenenbroeck and Tanja Temmerman (eds.). The Oxford Handbook of Ellipsis. Oxford University Press.
+
Kempson R. & Cann R. (2018) Grammar as procedures: language interaction and the predictive turn.Turner & Horn (eds) Pragmatics, Truth and Interpretation 261-99 Brill
+
Kempson, R., Cann, R., Gregoromichelaki, E., Chatzikyriakidis, S. (2016). Language as Mechanisms for Interaction. Theoretical Linguistics, Volume 42, Issue 3-4, 203–276
+
Kempson, R., Cann, R., Gregoromichelaki, E., Chatzikyriakidis, S. (2017). Action-based Grammar. In Theoretical Linguistics, 43(1-2), 141-167.
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+
The Centre for Linguistic Theory and Studies in Probability
Ruth Kempson
Associate Researcher
Publications
+
Books
+
Cann, R. Kempson, R. & Marten L. (2006) The Dynamics of Language: An Introduction. Elsevier.
+
Kempson, R. W. Meyer-Viol, & Gabbay, D. (2001) Dynamic Syntax. Blackwell.
+
Cann, R. Kempson, R. & Gregoromichelaki, E. (2009). Semantics: An Introduction to Meaning in Language. Cambridge University Press.
+
Kempson, R. (1977) Semantic Theory. Cambridge University Press.
+
Kempson, R.(1975) Presupposition and the Delimitation of Semantics. Cambridge University Press.
+
Edited Books
+
Orwin, M, Howes, C. & Kempson, R. (eds.) (2013) Language, Music and Interaction. College Publications.
+
Kempson , Fernando & Asher (eds.) (2012) Handbook of Philosophy of Linguistics. Elsevier.
+
Kempson, R., Gregoromichelaki, E. & Howes, C. (2011). The Dynamics of Lexical Interfaces. Stanford Centre for the Study of Language and Information (CSLI) Publications.
+
Cooper, R, & Kempson, R.(eds) (2008) Language in Flux: Language Change, Variation & Evolution. London Publications.
+
Kempson, R. (ed.) (1988 ) Mental Representations: The Interface between Language and Reality. Cambridge University Press.
Gregoromichelaki, Kempson & Howes, C (2020) Actionism in syntax and semantics. In Howes, C., Dobnik, S. & Breitholtz, E. (editors), Dialogue and Perception - Extended papers from DaP2018. GUPEA.
+
Kempson, R., Gregoromichelaki, E. & Howes, C (2019) Language as Mechanisms for Interaction: Towards an Evolutionary Tale. Language, Logic, and Computation. pp, 209-227 Springer
+
Gregoromichelaki, E. & Kempson, R (2019). Procedural Syntax. In Carston, R., Clark, B., Scott & K. (editors), Relevance:: Pragmatics and Interpretation.. Cambridge University Press.
+
Kempson, R., Gregoromichelaki, E., Eshghi, A., Hough, J. (2019). Ellipsis in Dynamic Syntax. In: Jeroen van Craenenbroeck and Tanja Temmerman (eds.). The Oxford Handbook of Ellipsis. Oxford University Press.
+
Kempson, R., E. Gregoromichelaki, C. Howes (2018) Grammars as affordances for interaction. In: DaP 2018, Proceedings of the CLASP Workshop on Dialogue and Perception. Gothenburg, Sweden.
+
Wei Liu and Ruth Kempson (2018 ) Chinese cleft structures and the dynamics of processing Proceedings of the Philological Society Vol. 116.2 91-116
+
Kempson, R. (2017) Pragmatics: language and communication. In Aronoff, M. and Rees-Miller. J. (eds.) Handbook of Linguistics (2nd editn). pp. 417-443. Wiley.
+
Cann, R. and Kempson, R.(2017) What do words do for us?. Dialectica 71:425-470
+
Kempson, R. (2017) Shifting concepts of language: meeting the challenge of modelling interactive syntax. In Weigand, E. ed. The Routledge Handbook of Language and Dialogue Pp. 197-213. Routledge.
+
Gregoromichelaki E., C., Howes, M. Purver, R. Kempson, A. Eshghi, R. Cann, P. Healey and G. Mills. (2017) Completability vs (In)completeness In the BICLCE 2017 workshop Approaches to Fragments and Ellipsis in Spoken and Written English, Vigo, September 2017.
+
Kempson, R., Chatzikyriakidis, S. & Howes, C (2017). Cognitive science, language as a tool for interaction, and a new look at language evolution. In Howes, C. & Rieser, H. (editors), Proceedings of the workshop on Formal Approaches to the Dynamics of Linguistic Interaction (FADLI), pages 32-36. CEUR Workshop Proceedings.
+
Kempson, R., Cann, R., Gregoromichelaki, E., Chatzikyriakidis, S. (2017). Action-based Grammar. In Theoretical Linguistics, 43(1-2), 141-167.
+
Kempson, R. and Gregoromichelaki, E. (2017). Action sequences instead of representational levels (Commentary on Branigan and Pickering). Behavioural and Brain Sciences, 40, E296. doi:10.1017/S0140525X17000449
+
Kempson, R., Cann, R., Gregoromichelaki, E., Chatzikyriakidis, S. (2016). Language as Mechanisms for Interaction. Theoretical Linguistics, Volume 42, Issue 3-4, 203–276
+
Gregoromichelaki, E. and Kempson, R. (2016). Reporting, Dialogue, and the Role of Grammar In: Alessandro Capone, Ferenc Kiefer and Franco Lo Piparo (eds.) Indirect Reports and Pragmatics: Interdisciplinary Studies, Springer.
+
Kempson, R. (2016) Syntax as the dynamics of language understanding. In Allan, K. (ed.) The Routledge Handbook of Linguistics, pp.135-152. Rouotledge.
+
Kempson, R., Cann, R., Eshghi, A., Gregoromichelaki, E. & Purver, M (2015). Ellipsis. In Lappin, S., Fox & C. (editors), Handbook of Contemporary Semantic Theory. Wiley
+
Gregoromichelaki, E. and Kempson, R. (2015) Joint utterances and the (Split-)Turn Taking Puzzle.In: Jacob L. Mey & Alessandro Capone (eds.) Interdisciplinary studies in Pragmatics, Culture and Society Heidelberg, Springer.
+
Kempson, R. Cann, R. & Chatzikyriakidis, S. (2015) Language as mechanisms for interaction: Syntax as procedures for online interactive meaning building (commentary on Christiansen & Chater The Now-or-Never Bottleneck). Brain & Behavioral Science, 39, 35-36
+
Chatzikyriakidis, S., Gregoromichelaki, E., and Kempson, R. (2015) Language as a set of
+mechanisms for interaction. In R. Kempson, Robin Cooper, Matthew Purver (eds.) Proceedings of IWCS 2015, Queen Mary University of London, April 2015.
+
Gregoromichelaki, E., Kempson, R, Howes, C. Eshghi, A. (2013) On making syntax dynamic: the challenge of compound utterances and the architecture of the grammar. In: Ipke Wachsmuth, Jan de Ruiter, Petra Jaecks, and Stefan Kopp (eds.): Alignment in Communication: Towards a New Theory of Communication. John Benjamins, Advances in Interaction Studies
+
Gregoromichelaki, E. and Kempson, R. (2013). The role of intentions in dialogue processing. In: A. Capone, F. Lo Piparo and M. Carapezza (eds.) Perspectives on Linguistic Pragmatics, series Perspectives in Pragmatics, Philosophy & Psychology, Vol. 2, Springer.
+
Kempson, R., Cann, R., Eshghi, A., Gregoromichelaki, E. & Purver, M (2015). Ellipsis. In Lappin, S, & Fox,C. (eds.), Handbook of Contemporary Semantic Theory. Wiley.
+
Gregoromichelaki, E. and Kempson, R. (2015) Joint utterances and the (Split-)Turn Taking Puzzle. In: Jacob L. Mey & Alessandro Capone (eds.) Interdisciplinary studies in Pragmatics, Culture and Society Heidelberg, Springer.
+
Chatzikyriakidis, S., Gregoromichelaki, E., and Kempson, R. (2015) Language as a set of
+mechanisms for interaction. In R. Kempson, R. Cooper, M. Purver (eds.) Proceedings of IWCS 2015, Queen Mary University of London, April 2015.
+
Gregoromichelaki, E., Kempson, R, Howes, C. Eshghi, A. (2013) On making syntax dynamic: the challenge of compound utterances and the architecture of the grammar. In: Ipke Wachsmuth, Jan de Ruiter, Petra Jaecks, and Stefan Kopp (eds.): Alignment in Communication: Towards a New Theory of Communication. John Benjamins, "Advances in Interaction Studies"
+
Gregoromichelaki, E. and Kempson, R. (2013). The role of intentions in dialogue processing. In: A. Capone, F. Lo Piparo and M. Carapezza (eds.) Perspectives on Linguistic Pragmatics, series Perspectives in Pragmatics, Philosophy & Psychology, Vol. 2, Springer.
+
Gregoromichelaki, E., Cann R. and Kempson, R. (2013). Coordination in dialogue: subsentential speech and its implications. In: Goldstein, L. (ed.) Brevity Oxford University Press
+
Kempson & Orwin (2013) Language and music as mechanisms for interaction. In Orwin, M, Howes C. and Kempson, R. (eds.) 2013. Language, Music and Interaction. College Publications.
+
Howes, C., P. G. T. Healey, R. Kempson, and E. Gregoromichelaki. (2013) “When can you finish someone else’s . . . ?” - influencing the production of compound contributions in dialogue. In: Proceedings of the Workshop on Discourse Expectations: Theoretical, Experimental, and Computational Perspectives, Tübingen, Germany, 2013.
+
Kempson,R. Cann.R. & Wedgwood,D. (2012) Representationalism and linguistic knowledge. In Kempson,R. Fernando, T. & Asher,R. (eds.) Handbook of Philosophy of Linguistics. pp. 357-402 Elsevier.
+
Chatzikyriakidis, S. and Kempson, R. (2011) Standard Modern and Pontic Greek person restrictions: A feature-free dynamic account. Journal of Greek Linguistics, 11.2
+
Gregoromichelaki, E., Kempson, R. and Cann, R. (2012). Language as tools for interaction: Grammar and the dynamics of ellipsis resolution. The Linguistic Review, Vol. 29, No. 4, 563-584.
+
Kempson, R., Gregoromichelaki, E. and Cann, R. (2012). Context and Compositionality: the Challenge of Conversational Dialogue. In: Stalmaszczyk, Piotr (ed.) Philosophical and Formal Approaches to Linguistic Analysis pp: 215–240, Ontos Verlag.
+
Kempson, R., Gregoromichelaki, E. and Chatzikyriakidis, S. (2012) Joint utterances in Greek: their implications for linguistic modelling. In: Proceedings of 33rd Annual Linguistics Meeting “Syntactic Theories and the Syntax of Greek”. Thessaloniki, 26-27 April 2012.
+
Eshghi, A., Hough, J., Purver, M., Kempson, R., Gregoromichelaki, E. (2012). Conversational Interactions: Capturing Dialogue Dynamics. In: L. Borin and S. Larsson (eds.), From Quantification to Conversation. College Publications.
+
Kempson, R., Gregoromichelaki, E., R. Cann. (2011) Languages as mechanisms for conversational interaction. In: Proceedings of PhiLang 2011 Second International Conference on Philosophy of Language and Linguistics University of Lodz (Poland), 12-14 May 2011.
+
Gregoromichelaki, E., Kempson, R., Purver, M., Mills, G. and Cann, R. (2011) Incrementality and intention-recognition in utterance processing. In: Dialogue and Discourse 2,1 special issue on Incrementality in Dialogue.
+
Kempson, R., Gregoromichelaki, E., Meyer-Viol, W., Purver, M., White, G., Cann, R. (2011) Natural-language syntax as procedures for interpretation: the dynamics of ellipsis construal. In: Alain Lecomte, Samuel Tronçon (eds.) Ludics, Dialogue and Interaction, Lecture Notes in Computer Science. Springer
+
Eshghi, A, P. Healey, M. Purver, C. Howes, E. Gregoromichelaki and R. Kempson. (2010)
+Incremental turn processing in dialogue. In Architectures and Mechanisms for Language Processing, AMLAP, 2010, York, UK, September 2010.
+
Kempson, R., Gregoromichelaki, E., Mills, G., Purver, M., Howes, C. and Healey, P. G. T. (2010) On Dialogue Modelling, Language Processing Dynamics, and Linguistic Knowledge. In: Proceedings of Linguistic Evidence 2010, Tübingen, Germany.
+
Kempson R. and Kiaer, J (2010) Multiple long-distance scrambling: syntax as reflections of processing. Journal of Linguistics 46: 127-92.
+
Gargett, A., Gregoromichelaki, E., Kempson, R., Purver, M. and Sato, Y. (2009) Grammar Resources for Modelling Dialogue Dynamically Journal of Cognitive Neurodynamics 3(4), pages 347-363, 2009.
+
Kempson, R. and Kurosawa, A (2009). At the syntax-pragmatics Interface: Japanese relative clause construal. In: Hoshi, H. (ed.) The Dynamics of the Language Faculty, Kuroshio, Tokyo
+
Kempson, R., Gregoromichelaki, E., Purver, M. Mills, G., Gargett, A. Howes, C. (2009). How mechanistic can accounts of interaction be? In Proceedings of DiaHolmia, 13th Workshop on the Semantics and Pragmatics of Dialogue.
+
Kempson, R., Gregoromichelaki, E. and Sato, Y. (2009) Incrementality, speaker/hearer switching and the disambiguation challenge. Proceedings of 12th Conference of the European Association of Computational Linguistics.
+
Gregoromichelaki, E., Sato, Y., Kempson, R. Gargett, A. and Howes, C. (2009) Dialogue modelling and the remit of core grammar. In Proceedings of IWCS, Eighth International Conference on Computational Semantics.
+
Kempson, R. Gregoromichelaki, E. Meyer-Viol, W., Purver, M., White, G. and Cann, R. (2009). Natural-language syntax as procedures for Interpretation: the dynamics of ellipsis construal. In: Proceedings of the PRELUDE Workshop on Games, Dialogues and Interaction, Paris.
+
Kempson, R., Gargett, A., Gregoromichelaki, E., Howes, C., Sato, Y. (2008) Towards a unified account of ellipsis: syntax as time-linear building of semantic representations. Proceedings of ESSLLI Workshop: What Syntax Feeds Semantics. Hamburg, Germany.
+
Cann, R. Kempson,R. Purver.M. (2007) Context and well-formedness: dynamics of ellipsis. Research on Language & Computation 5.1.
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+
The Centre for Linguistic Theory and Studies in Probability
Shalom Lappin
Professor
Shalom Lappin
+
Professor of Computational Linguistics
+University of Gothenburg
+shalom.lappin@gu.se
+
Professor of Natural Language Processing
+School of Electronic Engineering and Computer Science
+Queen Mary University of London
+s.lappin@qmul.ac.uk
+
Emeritus Professor of Computational Linguistics
+King's College London
+shalom.lappin@kcl.ac.uk
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+
The Centre for Linguistic Theory and Studies in Probability
Shalom Lappin
Chief Scientist
Shalom Lappin's research is in computational linguistics with a focus on the application of probabilistic models to issues in syntax, semantics, and grammar induction. He is currently the chief scientific advisor in CLASP.
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+
The Centre for Linguistic Theory and Studies in Probability
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom
+Lappin, and Aleksandre Maskharashvili (2022), Bayesian Inference Semantics for
+Natural Language in Jean-Philippe Bernardy, Rasmus Blanck,
+Stergios Chatzikyriakidis, Shalom Lappin, and Aleksandre Maskharashvili (eds.),
+Probabilistic Approaches to Linguistic Theory, CSLI Publications, Stanford CA,
+pp. 161-228.
+
Jean-Philippe Bernardy and Shalom Lappin (2022), Assessing the Unitary RNN as an
+End-to-End Compositional Model of Syntax in M. Moortgat
+and G. Wijnholds (eds), End-to-End Compositional Models of Vector-Based Semantics,
+2022 (E2ECOMPVEC), Electronic Proceedings in Theoretical Computer Science 366.4,
+2022, pp. 9–22.
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom
+Lappin, and Aleksandre Maskharashvili (2019), Predicates as Boxes in
+Bayesian Semantics for Natural
+Language,
+Proceedings of the 22nd Nordic Conference on Computational
+Linguistics, September 30-October 2, Turku, Finland, Linköping
+University Electronic Press, pp. 333-337.
+
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis. Shalom
+Lappin, and Aleksandre Maskharashvili (2019), Bayesian Inference
+Semantics: A Modelling System and A Test
+Suite,
+Proceedings of the Eighth Joint Conference on Lexical and Computational
+Semantics (\SEM)*, pages 263--272 Minneapolis, July 6--7, 2019.
+
Yuri Bizzoni and Shalom Lappin (2019), Predicting Metaphor Paraphrase
+Judgements in
+Context,
+Proceedings of the 13th International Conference on Computational
+Semantics 2019 - Long Papers, University of Gothenburg, May 2019, pp.
+165-174.
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, and
+Shalom Lappin (2018), A Compositional Bayesian Semantics for Natural
+Language,
+Proceedings of the First International Workshop on Language Cognition
+and Computational Models, COLING 2018, Santa Fe, New Mexico, August 20,
+2018, pp. 1-10.
Jean-Philippe Bernardy, Shalom Lappin, and Jey Han Lau (2018),The
+Influence of Context on Sentence Acceptability
+Judgements, Proceedings
+of the 56th Annual Meeting of the Association for Computational
+Linguistics(Short Papers), Melbourne, Australia, July 2018.
Jean-Philippe Bernardy and Shalom Lappin (2017), Learning Agreement
+with Deep Neural
+Networks,
+Israel Seminar on Computational Linguistics, Hebrew University of
+Jerusalem, September 2017.
+
Devdatt Dubhash and Shalom Lappin (2017), AI Dangers: Imagined and
+Real,
+Communications of the ACM, Vol 60. No. 2, February 2017, pp. 43-45.
Lau, J.H., A. Clark, and S. Lappin (2015), Unsupervised Prediction of
+Acceptability
+Judgements,
+Proceedings of the 53rd Annual Conference of the Association of
+Computational Linguistics, Beijing, July 2015, pp. 1618-1628.
Cooper, R., S. Dobnik, S. Lappin, and S. Larsson (2014), A
+Probabilistic Rich Type Theory for Semantic
+Interpretation,
+Proceedings of the EACL 2014 Workshop on Type Theory and Natural
+Language Semantics (TTNLS), Gothenburg, April 2014, pp. 72¿79.
Clark, A., G. Giorgolo, and S. Lappin (2013), Towards a Statistical
+Model of
+Grammaticality,
+Proceedings of the 35^th^ Annual Conference of the Cognitive Science
+Society, Berlin, July-August 2013, pp. 2064-2069.
Clark, A. and S. Lappin (2012), Computational Learning Theory and
+Language
+Acquisition
+in R. Kempson, N. Asher, and T. Fernando (eds.),Handbook of the
+Philosophy of Science, Volume 14: Philosophy of Linguistics, Elsevier,
+Oxford, pp. 445-475.
+
van Eijck, J. and S. Lappin (2012), Probabilistic Semantics for Natural
+Language,
+in Z. Christoff, P. Galeazzi, N. Gierasimszuk, A. Marcoci, and S. Smets
+(eds.),Logic and Interactive Rationality (LIRA) 2012, Volume 2, ILLC,
+University of Amsterdam, pp. 17-35.
Joachim Lambek, pp. 385-417 (information about this volume of
+Linguistic Analysis is available from info@linguisticanalysis.com).
+
Clark, A. and S. Lappin (2010), Unsupervised Learning and Grammar
+Induction
+in A. Clark, C. Fox, and S. Lappin (eds.), The Handbook of
+Computational Linguistics and Natural Language Processing,
+Wiley-Blackwell, Malden MA and Oxford, pp. 197-220.
+
Clark, A. and S. Lappin (2009), Another Look at Indirect Negative
+Evidence,
+Proceedings of the EACL Workshop on Cognitive Aspects of Computational
+Language Acquisition, Athens, March 2009, pp. 26-33.
Fernandez, R., J. Ginzburg, H. Gregory, and S. Lappin (2007), SHARDS:
+Fragment Resolution in
+Dialogue
+in H. Bunt and R. Muskens (eds.), Computing Meaning Vol. 3, Springer,
+pp. 125-144.
Lappin, S. (2005), A Sequenced Model of Anaphora and Ellipsis
+Resolution
+in A. Branco, A, McEnery, and R. Mitkov (eds.), Anaphora Processing:
+Linguistic, Cognitive, and Computational Modelling, John Benjamins,
+Amsterdam, pp. 3-16.
Ebert, C., S. Lappin, H. Gregory, and N. Nicolov (2003), Full
+Parapharase Generation for Fragments in
+Dialogue
+in J. van Kuppevelt and R. Smith (eds.), Current and New Directions in
+Discourse and Dialogue, Kluwer, pp.161-181.
Fox, C., S. Lappin, and C. Pollard (2002), Intensional First-Order
+Logic with
+Types
+in G. Alberti, K. Balough, and P. Dekker (eds.), Proceedings of the
+Seventh Symposium for Logic and Language, Pecs, Hungary, pp. 47-56.
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+
The Centre for Linguistic Theory and Studies in Probability
In this research project we are focussing on the problem of how to
+specify the class of representations that encode human knowledge of the
+syntax of natural languages. We are pursuing the hypothesis that a
+representation in this class is best expressed as an enriched
+statistical language model that assigns probability values to the
+sentences of a language. A central part of the enrichment of the model
+consists of a procedure for determining the acceptability
+(grammaticality) of a sentence as a graded value, relative to the
+properties of that sentence and the language of which it is a part. This
+procedure avoids the simple reduction of the grammaticality of a string
+to its probability of occurrence, while still characterizing
+grammaticality in probabilistic terms. An enriched model of this kind
+will provide a straightforward explanation for the fact that individual
+native speakers generally judge the well formedness of sentences along a
+continuum, rather than through the imposition of a sharp boundary
+between acceptable and unacceptable sentences. The pervasiveness of
+gradedness in the linguistic knowledge of individual speakers poses a
+serious problem for classical theories of syntax, which partition
+strings of words into the grammatical sentences of a language and ill
+formed strings of words.
+
This research holds out the prospect of important impact in two areas.
+First, it can shed light on the relationship between the representation
+and acquisition of linguistic knowledge on one hand, and learning and
+the encoding of knowledge in other cognitive domains. This work can, in
+turn, help to clarify the respective roles of biologically conditioned
+learning biases and data driven learning in human cognition.
+
Second, this work can contribute to the development of more effective
+language technology by providing insight, from a computational
+perspective, into the way in which humans represent the syntactic
+properties of sentences in their language. To the extent that natural
+language processing systems take account of this class of
+representations they will provide more efficient tools for parsing and
+interpreting text and speech.
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+
The Centre for Linguistic Theory and Studies in Probability
Maribel Fernandez, Chris Fox, and Shalom Lappin (2008), special
+issue of Journal of Logic and Computation on lambda calculus, type
+theory, and natural language II, Vol 18, No. 2.
+
Maribel Fernandez, Chris Fox, and Shalom Lappin (2005), special
+issue of Journal of Logic and Computation on lambda calculus, type
+theory, and natural language I, Vol 15, No. 2.
+
Ruslan Mitkov, Bran Bugraev, and Shalom Lappin (2001), special issue
+of Computational Linguistics on anaphora resolution, vol 27,
+No. 4.
+
Shalom Lappin (ed.) (1988), Special issue of Linguistics, with an
+introduction on the syntax and semantics of NP's, Vol. 26, No. 6.
+
+
ARTICLES IN REFEREED JOURNALS
+
+
Shalom Lappin (to appear), "Assessing the Strengths and Weaknesses of
+Large Language Models", Jourrnal of Logic, Language and Information,
+special issue Natural Logic Meets Machine Learning.
+
Jey Han Lau, Carlos Armendariz, Shalom Lappin, Matthew Purver, and
+Chang Shu (2020), "How Furiously Can Colorless Green Ideas Sleep?
+Sentence Acceptability in Context", Transactions of the
+Association for Computational Linguistics 8, pp. 296--310.
+
Jean-Philippe Bernardy and Shalom Lappin (2017), "Using Deep Neural
+Networks to Learn Syntactic Agreement", Linguistic Issues in
+Language Technology 15.2, pp. 1-15.
+
Devdatt Dubhash and Shalom Lappin (2017), "AI Dangers: Imagined and
+Real", Communications of the ACM, Vol 60. No. 2, February 2017, pp.
+43-45.
+
Jey Han Lau, Alexander Clark, and Shalom Lappin (2016),
+"Grammaticality, Acceptability, and Probability: A Probabilistic View
+of Linguistic Knowledge", Cognitive Science.
+
Robin Cooper, Simon Dobnik, Shalom Lappin, and Staffan Larsson
+(2015), "Probabilistic Type Theory and Natural Language Semantics",
+Linguistic Issues in Language Technology 10, pp. 1-43.
+
Chris Fox and Shalom Lappin (2015), "Type-Theoretic Logic with an
+Operational Account of Intensionality", Synthèse 192, pp.
+563-584.
+
Shalom Lappin (2013), "Intensions as Computable Functions",
+Linguistic Issues in Language Technology 9, pp. 1-12.
+
Alexander Clark and Shalom Lappin (2013), "Complexity in Language
+Acquisition", Topics in Cognitive Science 5, Special Issue on
+Formal Learning Theory edited by Sean Fulop and Nick Chater, pp.
+89-110.
+
Chris Fox and Shalom Lappin (2010), "Expressiveness and Complexity
+in Underspecified Semantics", Linguistic Analysis 36.
+
Raquel Fernandez, Jonathan Ginzburg, and Shalom Lappin (2007),
+"Classifying Non-Sentential Utterances in Dialogue: A Machine
+Learning Approach", Computational Linguistics 33, No. 3, pp.
+397-427.
+
Shalom Lappin and Stuart Shieber (2007), "Machine Learning Theory
+and Practice as a Source of Insight into Universal Grammar",
+Journal of Linguistics 43, pp. 393-427.
+
Chris Fox and Shalom Lappin (2005), "Underspecified Intepretation
+in a Curry-Typed Representation Language", Journal of Logic and
+Computation, pp.131-143.
+
Chris Fox and Shalom Lappin (2004), "An Expressive First-Order
+Logic with Flexible Typing for Natural Language Semantics", Logic
+Journal of the International Group for Pure and Applied Logic 12,
+2004, pp. 135-168.
+
Shalom Lappin, Robert Levine and David Johnson (2001), "The
+Revolution Maximally Confused", Natural Language and Linguistic
+Theory 19, pp. 901-919.
+
Shalom Lappin (2000), "An Intensional Parametric Semantics for
+Vague Quantifiers", Linguistics and Philosophy 23, pp. 599-620.
+
Shalom Lappin, Robert Levine and David Johnson (2000), "The
+Revolution Confused: A Response to Our Critics", Natural Language
+and Linguistic Theory 18, pp. 873-890
+
Shalom Lappin, Robert Levine and David Johnson (2000), "The
+Structure of Unscientific Revolutions", Natural Language and
+Linguistic Theory 18, pp. 665-771.
+
David Johnson and Shalom Lappin (1997), "A Critique of the
+Minimalist Program", Linguistics and Philosophy 20, pp. 273-333.
+
Shalom Lappin (1996), "Generalized Quantifiers, Exception Phrases,
+and Logicality ", The Journal of Semantics 13, pp. 197-220.
+
Ido Dagan, John Justeson, Shalom Lappin, Herbert Leass, and Amnon
+Ribak (1995), "Syntax and Lexical Statistics in Anaphora
+Resolution", Applied Artificial Intelligence 9, pp. 633-644.
+
Shalom Lappin and Herbert Leass (1994), "A Syntactically Based
+Algorithm for Pronominal Anaphora Resolution, Computational
+Linguistics 20, pp. 535-561.
+
Shalom Lappin and Nissim Francez (1994), "E-Type Pronouns, I-Sums,
+and Donkey Anaphora", Linguistics and Philosophy 17, pp. 391-428.
+
Shalom Lappin and U. Shlonsky (1993), "Impersonal Passives",
+Linguistics 31, pp. 5---24.
+
Michael McCord, Arendse Bernth, Shalom Lappin, and Wlodek. Zadrozny
+(1992), "Natural Language Processing within the Slot Grammar
+Framework", International Journal of Tools for Artificial
+Intelligence 1, pp. 229---277.
+
Shalom Lappin and Michael McCord (1990), "Anaphora Resolution in
+Slot Grammar", Computational Linguistics 16, pp. 197---212.
Shalom Lappin and T. Reinhart (1988), "Presuppositional Effects of
+Strong Determiners: A Processing Account", Linguistics, special
+issue on the syntax and semantics of NP's, Vol. 26, No. 6, pp.
+1021---137.
+
Shalom Lappin (1988), "The Semantics of 'Many' as a Weak
+Determiner", Linguistics, special issue on the syntax and
+semantics of NP's, Vol. 26, No. 6, pp. 977---998.
+
Nomi Erteschik"Shir and Shalom Lappin (1987), "Dominance and
+Modularity", Linguistics 25, pp. 671---685.
+
Shalom Lappin (1985), "Pronominal Binding and Coreference",
+Theoretical Linguistics 12, pp. 241---263.
+
Shalom Lappin (1984), "VP Anaphora, Quantifier Scope, and Logical
+Form" Linguistic Analysis 13, pp. 273-315.
+
Nomi Erteschik"Shir and Shalom Lappin (1983), "Under Stress: A
+Functional Explanation of English Sentence Stress", Journal of
+Linguistics 19, pp. 419---453.
+
Nomi Erteschik"Shir and Shalom Lappin (1983), "Dominance and
+Extraction: Reply to A. Grosu", Theoretical Linguistics 10, pp.
+81---96.
+
Shalom Lappin (1982), "Quantified Noun Phrases and Pronouns in
+Logical Form", Linguistic Analysis 10, pp. 131---159.
+
Shalom Lappin (1982), "On the Pragmatics of Mood", Linguistics
+and Philosophy 4, pp. 559---578.
+
Shalom Lappin (1982), "Classical Logic and Existentially Quantified
+Noun Phrases", Theoretical Linguistics 7, pp. 145---155.
+
Shalom Lappin (1980), "Why One Ought to Care about Identity across
+Possible Worlds in Moral Judgements: Reply to Freundlich", Ratio,
+Vol. XXII, No. 2, pp.167---169.
+
Nomi Erteschik"Shir and Shalom Lappin (1979), "Dominance and the
+Functional Explanation of Island Phenomena", Theoretical
+Linguistics 6, pp. 41---86.
+
Shalom Lappin (1978), "Sortal Incorrectness, Bivalence, and
+Classical Validity", Manuscrito, Vol. II, No. 1, pp. 89---104.
+
Shalom Lappin (1978), "Moral Judgements and Identity across
+Possible Worlds", Ratio, Vol. XX, No. 1, pp. 69---74. (An earlier
+version of this paper appeared in Hebrew in M. Dascal (ed.) (1978),
+Ha-Tzodek ve Ha"Bilti-Tzodek, University Publishing Projects, Tel
+Aviv, pp. 173-178.)
+
Shalom Lappin (1976), "Goodman and Katz on Synonymy",
+Philosophical Studies 29, pp. 279---281.
+
+
CHAPTERS IN BOOKS
+
+
Jean-Philippe Bernardy and Shalom Lappin (2023), "Unitary Recurrent
+Networks: Algebraic and Linear Structures for Syntax" in Shalom Lappin
+and Jean-Philippe Bernardy (eds.), Algebraic Structures in Natural Language,
+CRC Press, Taylor and Francis, Boca Raton and Oxford, pp. 243-277.
+
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin,
+and Aleksandre Maskharashvili (2022), "Bayesian Inference Semantics for Natural
+Language" in Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis,
+Shalom Lappin, and Aleksandre Maskharashvili (eds), Probabilistic Approaches
+to Linguistic Theory, CSLI Publications, Stanford CA, pp. 161-228.
+
Shalom Lappin (2015), "Curry Typing, Polymorphism, and Fine-Grained
+Intensionality" in Shalom Lappin and Chris Fox (eds.), The
+Handbook of Contemporary Semantic Theory, Second Edition,
+Wiley-Blackwell, Oxford and Malden MA, pp. 408-428.
+
Jan van Eijck, and S. Lappin (2012), "Probabilistic Semantics for
+Natural Language" in Z. Christoff, P. Galeazzi, N. Gierasimszuk, A.
+Marcoci, and S. Smets (eds.), Logic and Interactive Rationality
+(LIRA) 2012, Volume 2, ILLC, University of Amsterdam, pp. 17-35.
+
Alexander Clark and Shalom Lappin (2012), "Computational Learning
+Theory and Language Acquisition" in Ruth Kempson, Tim Fernando, and
+Nicholas Asher (eds.), Handbook of the Philosophy of Science,
+Volume 14: Philosophy of Linguistics, Elsevier, Oxford, pp.
+441-471.
+
Alexander Clark and Shalom Lappin (2010), "Unsupervised Learning
+and Grammar Induction" in Alexander Clark, Chris Fox, and Shalom
+Lappin (eds.), The Handbook of Computational Linguistics and
+Natural Language Processing, Wiley-Blackwell, Malden MA and Oxford,
+pp. 197-220.
+
Raquel Fernandez, Jonathan Ginzburg, Howard Gregory, and Shalom
+Lappin (2007),"SHARDS: Fragment Resolution in Dialogue" in H. Bunt
+and R. Muskens (eds.), Computing Meaning Vol 3, Springer, Berlin
+and New York, pp. 125-144.
+
Chris Fox and Shalom Lappin (2005), "Polymorphic Quantifiers and
+Underspecification in Natural Language" in S. Artemov, H.
+Barringer, A. d"Avilla Garcez, L. Lamb, and J. Woods (eds.), We
+Will Show Them: Essays in Honour of Dov Gabbay, Vol 1, College
+Publications, London, pp. 687-700.
+
Shalom Lappin (2005), "A Sequenced Model of Anaphora and Ellipsis
+Resolution" in A. Branco, A, McEnery, and R. Mitkov (eds.),
+Anaphora Processing: Linguistic, Cognitive, and Computational
+Modelling, John Benjamins, Amsterdam, pp. 3-16.
+
Christian Ebert, Howard Gregory, Shalom Lappin, and Nicolas Nicolo
+(2003), "Full Paraphrases for Fragments in Dialogue" in J. van
+Kuppevelt, and R. Smith (eds.), Current and New Directions in
+Discourse and Dialogue, Kluwer, pp.161-181.
+
Shalom Lappin (2003), "Semantics" in R. Mitkov (ed.), The
+Handbook of Computational Linguistics, Oxford University Press,
+Oxford, pp. 91-111.
+
Chris Fox and Shalom Lappin (2001), "A Framework for the
+Hyperintensional Semantics of Natural Language with Two
+Implementations" in Groote, P. de, G. Morrill, and C. Retore
+(eds.), Logical Aspects of Computational Linguistics, Springer
+Lecture Notes in Artificial Intelligence, Berlin and New York, pp.
+175-192.
+
Shalom Lappin (2000), "An Introduction to Formal Semantics" in M.
+Aronoff and J. Rees-Miller (eds.), The Blackwell Handbook of
+Linguistics, Blackwell, Oxford, pp. 369-393.
+
Shalom Lappin (2000), "Logicality and Semantic Types for Natural
+Language" in H. Bennis, M. Everaert, and E. Reuland (eds.),
+Interface Strategies, Royal Dutch Academy of Sciences, Amsterdam,
+pp. 223-238.
+
Howard Gregory and Shalom Lappin (1999), "Antecedent Contained
+Ellipsis in HPSG" in G. Webelhuth, J.P. Koenig, and A. Kathol
+(eds.), Lexical and Constructional Aspects of Linguistic
+Explanation, CSLI, Stanford, CA, pp. 331-356.
+
Shalom Lappn (1999), "An HPSG Account of Antecedent Contained
+Ellipsis" in S. Lappin and E. Benmamoun (eds.), Fragments: Studies
+in Ellipsis and Gapping, Oxford University Press, New York, pp.
+68-97.
+
Shalom Lappin (1996), "The Interpretation of Ellipsis" in S.
+Lappin (ed.), The Handbook of Contemporary Semantic Theory,
+Blackwell, Oxford, pp. 145-175.
+
Shalom Lappin (1993), "||Many|| as a Two"Place Determiner
+Function" in J. Yan and M. Cobb (ed)., SOAS Working Papers in
+Linguistics, pp. 337-358.
+
Shalom Lappin (1991), "Concepts of Logical Form in Linguistics and
+Philosophy" in Asa Kasher (ed.), The Chomskyian Turn, Blackwell,
+Oxford, pp. 300---333.
+
Shalom Lappin (1983), "Truth, Correspondence, and Meaning" (in
+Hebrew) in L. Rauch (ed.), Readings in Contemporary Philosophy,
+Yachdav, Tel Aviv, pp. 97---115.
+
Shalom Lappin (1979), "Spinoza's Theory of Innate Ideas" (in
+Hebrew) in M. Brinker, M. Dascal, and D. Nesher (eds.), Baruch
+Spinoza, University Publishing Projects, Tel Aviv, pp.53---59.
+
+
PAPERS IN CONFERENCE PROCEEDINGS
+
+
Jean-Philippe Bernardy and Shalom Lappin (2022), "Assessing the Unitary
+RNN as an End-to-End Compositional Model of Syntax" in M. Moortgat and
+G. Wijnholds (eds), End-to-End Compositional Models of Vector-Based Semantics,
+2022 (E2ECOMPVEC), Electronic Proceedings in Theoretical Computer Science
+366.4, 2022, pp. 9–22.
+
Jean-Philippe Bernardy and Shalom Lappin (2022), "A Neural Model for
+Compositional Word Embeddings and Sentence Processing", Proceedings
+of the Workshop on Cognitive Modeling and Computational Linguistics,
+May 26, 2022, Dublin, Association of Computational Linguistics, pp. 12--22.
+
Adam Ek, Jean-Philippe Bernardy, and Shalom Lappin (2019),
+"Language Modeling with Syntactic and Semantic Representation for
+Sentence Acceptability Predictions", Proceedings of the 22nd
+Nordic Conference on Computational Linguistics, September
+30-October 2,
+Turku, Finland, Linköping University Electronic Press, pp. 76-85.
+
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis.
+Shalom Lappin, and Aleksandre Maskharashvili (2019), "Predicates as
+Boxes in Bayesian Semantics for Natural Language", Proceedings of
+the 22nd Nordic Conference on Computational Linguistics, September
+30-October 2, Turku, Finland, Linköping University Electronic Press,
+pp. 333-337.
+
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis.
+Shalom Lappin, and Aleksandre Maskharashvili (2019), Bayesian
+Inference Semantics: A Modelling System and A Test Suite,
+Proceedings of the Eighth Joint Conference on Lexical and
+Computational Semantics (\SEM)*, pages 263--272 Minneapolis, July
+6--7, 2019.
+
Yuri Bizzoni and Shalom Lappin (2019) "Predicting Metaphor
+Paraphrase Judgements in Context", Proceedings of the 13th
+International Conference on Computational Semantics 2019 - Long
+Papers, University of Gothenburg, May 2019, pp. 165-174.
+
Shalom Lappin (2018), Towards a Computationally Viable Framework for
+Semantic Representation, Proceedings of the Symposium on Logic and
+Algorithms in Computational Linguistics 2018, September,
+2018, Stockholm University, DiVA Portal for digital publications,
+pp. 47-63.
+
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis,
+and Shalom Lappin (2018), "A Compositional Bayesian Semantics for
+Natural Language", Proceedings of the First International Workshop
+on Language Cognition and Computational Models, COLING 2018, Santa
+Fe, New Mexico, August 20, 2018, pp. 1-10.
+
Jean-Philippe Bernardy, Shalom Lappin, and Jey Han Lau (2018), "The
+Influence of Context on Sentence Acceptability Judgements",
+Proceedings of the 56th Annual Meeting of the Association for
+Computational Linguistics (Short Papers), pages 1--6, Melbourne,
+Australia, July 2018.
+
Yuri Bizzoni and Shalom Lappin (2018), "Predicting Human Metaphor
+Paraphrase Judgments with Deep Neural Networks", Proceedings of
+the NAACL 2018 Workshop on Figurative Language Processing, New
+Orleans LA, June 2018, pp. 45-55.
+
Yuri Bizzoni and Shalom Lappin (2017), "Deep Learning of Binary and
+Gradient Judgements for Semantic Paraphrase", Proceedings of the
+International Workshop on Computational Semantics 2017,
+Montpellier, France, September 2017.
+
Jey Han Lau, Alexander Clark, and Shalom Lappin (2015),
+"Unsupervised Prediction of Acceptability Judgements",
+Proceedings of the 53rd Annual Conference of the Association of
+Computational Linguistics, Beijing, July 2015, pp. 1618-1628.
+
Jey Han Lau, Alexander Clark, and Shalom Lappin (2014), "Measuring
+Gradience in Speakers" Grammaticality Judgements", Proceedings of
+the 36th Annual Conference of the Cognitive Science Society, Quebec
+City, July 2014, pp. 821-826.
+
Robin Cooper, Simon Dobnik, Shalom Lappin, and Staffan Larsson
+(2014), "A Probabilistic Rich Type Theory for Semantic
+Interpretation", Proceedings of the EACL 2014 Workshop on Type
+Theory and Natural Language Semantics (TTNLS), Gothenburg, April
+2014, pp. 72---79.
+
Alexander Clark, Gianluca Giorgolo, and Shalom Lappin (2013),
+"Statistical Representation of Grammaticality Judgements: The
+Limits of N-Gram Models", Proceedings of the ACL Workshop on
+Cognitive Modelling and Computational Linguistics, Sophia, August
+2013, pp. 28-36.
+
Alexander Clark, Gianluca Giorgolo, and Shalom Lappin (2013),
+Towards a Statistical Model of Grammaticality, Proceedings of the
+35th Annual Conference of the Cognitive Science Society, Berlin,
+July-August 2013, pp. 2064-2069.
+
Alexander Clark and Shalom Lappin (2009), "Restricting Probability
+Distributions to Expand The Class of Learnable Languages", Recent
+Advances in Natural Language Processing 2009, Borovetz, Bulgaria
+(abstract with slides, invited keynote talk).
+
Alexander Clark and Shalom Lappin (2009), "Another Look at Indirect
+Evidence", Proceedings of the EACL Workshop on Cognitive Aspects
+of Computational Language Acquisition, Athens, pp. 26-33.
+
Shalom Lappin (2005) "Machine Learning and the Cognitive Basis of
+Natural Language" in Proceedings of Computational Linguistics in
+the Netherlands 2004, Leiden, pp. 1-11 (invited keynote lecture).
+
Chris Fox and Shalom Lappin (2005), "Achieving Expressive
+Completeness and Computational Efficiency for Underspecified
+Semantic Representations" in Proceedings of The Fifteenth
+Amsterdam Colloquium, Amsterdam, pp. 77-82.
+
Raquel Fernandez, Jonathan Ginzburg, and Shalom Lappin (2005),
+"Using Machine Learning for Non-Sentential Utterance
+Classification" in Proceedings of ACL SIGdial Workshop on
+Discourse and Dialogue 6, Lisbon, pp. 77-86.
+
Raquel Fernandez, Jonathan Ginzburg, and Shalom Lappin (2005),
+"Automatic Bare Sluice Disambiguation in Dialogue" in Proceedings
+of IWCS-6, Tilburg, pp. 115-127.
+
Chris Fox and Shalom Lappin (2004), "A Type-Theoretic Approach to
+Ellipsis Resolution" in N. Nicolov, K. Botcheva, G. Angelova,
+and R. Mitkov (eds.), Recent Advances in Natural Language
+Processing III: Selected Papers from RANLP 2003, John Benjamins,
+Amsterdam, pp. 1-16 (invited keynote talk).
+
Raquel Fernandez, Jonathan Ginzburg, and Shalom Lappin (2004),
+"Clarifying Ellipsis in Dialogue: A Machine Learning Approach" in
+Proceedings of COLING 2004, Geneva, pp. 240-246.
+
Chris Fox and Shalom Lappin (2003), "Doing Natural Language
+Semantics in an Expressive First-Order Logic with Flexible Typing"
+in G. Jaeger, P. Monachesi, G. Penn, and S. Wintner (eds.),
+Proceedings of Formal Grammar 2003, Vienna, pp. 89-102.
+
Chris Fox, Shalom Lappin, and Carl Pollard (2002) "Intensional
+First-Order Logic with Types" in G. Alberti, K. Balough, and P.
+Dekker (eds.), Proceedings of the Seventh Symposium for Logic and
+Language, Pecs, Hungary, pp. 47-56.
+
Chris Fox, Shalom Lappin, and Carl Pollard (2002) "A Higher-Order
+Fine-Grained Logic for Intensional Semantics" in G. Alberti, K.
+Balough, and P. Dekker (eds.), Proceedings of the Seventh Symposium
+for Logic and Language, Pecs, Hungary, pp.37-46.
+
Chris Fox, Shalom Lappin, and Carl Pollard (2002), "First-Order
+Curry-Typed Logic for Natural Language Semantics" in S. Wintner
+(ed.), Proceedings of the Seventh Workshop on Natural Language
+Understanding and Logic Programming, Copenhagen, pp. 87-102.
+
Jonathan Ginzburg, Howard Gregory, and Shalom Lappin (2001),
+"SHARDS: Fragment Resolution in Dialogue" in H. Bunt, I. van der
+Slius, and E. Thijsse (eds.), Proceedings of the Fourth
+International Conference on Computational Semantics, Tilburg, pp.
+156-172.
+
Jonathan Ginzburg, Howard Gregory, and Shalom Lappin (2000), "A
+Dialogue System for Interpreting Fragments", in Proceedings of the
+ESSLLI 2000 Workshop on Linguistic Theory and Grammar
+Implementation, ESSLLI, Birmingham, UK, pp. 187-199.
+
Howard Gregory and Shalom Lappin (1997), "A Computational Model of
+Ellipsis" in G-J Kruiff, G. Morrill, and R. Oehrle (eds.),
+Proceedings of the Conference on Formal Grammar, ESSLLI,
+Aix-en-Provence.
+
David Johnson and Shalom Lappin (1997), "Wh-Questions: Unification
+in a Typed Feature Structure Grammar vs. Feature Checking in the
+Minimalist Program" in E. Doron and S. Wintner (eds.), Proceedings
+of the Twelfth Annual Conference of the Israel Association for
+Theoretical Linguistics, pp. 91-99.
+
Shalom Lappin and Hsue-Hueh Shih (1996), "A Generalized
+Reconstruction Algorithm for Ellipsis Resolution in Proceedings of
+COLING-96, pp. 687-692.
+
Shalom Lappin (1995), "Logicality and the Determination of
+Syntactic Categories in Natural Language" in Proceedings of the
+Fourth Bar-Ilan Symposium on Foundations of Artificial
+Intelligence, Bar-Ilan University, Ramat Gan, Israel.
+
Shalom Lappin (1993), "Ellipsis Resolution at S"Structure" in A
+Schafer (ed.) Proceedings of NELS 23, GLSA, University of
+Massachusetts, pp. 255---269.
+
Shalom Lappin (1992), "The Syntactic Basis of Ellipsis Resolution"
+in S. Berman and A. Hestvik (eds.), Proceedings of the Stuttgart
+Workshop on Ellipsis, Arbeitspapiere des Sonderforschungsbereich
+340, Bericht Nr. 29---1992.
+
Shalom Lappin and Michael McCord (1990), "A Syntactic Filter on
+Pronominal Anaphora for Slot Grammar", Proceedings of the 28th
+Annual Meeting of the Association for Computational Linguistics,
+University of Pittsburgh, pp. 135---142.
+
Igal Golan, Shalom Lappin, and M. Rimon (1988), "An Active
+Bilingual Lexicon for Machine Translation", Proceedings of COLING
+'88, Budapest, pp. 205---211.
+
Shalom Lappin (1984), "Predication and Raising" in C. Jones and P.
+Sells (eds.), Proceedings of NELS 14, University of Massachusetts,
+Amherst, MA, pp. 236---252.
+
Shalom Lappin (1983), "The Theta"Criterion and Pronominal
+Binding" in P. Sells and C. Jones (eds.), Proceedings of NELS 13,
+University of Massachusetts, Amherst, MA, pp. 121---128.
+
+
TECHNICAL REPORTS
+
+
Yuri Bizzoni and Shalom Lappin (2018), The Effect of Context on
+Metaphor Paraphrase Aptness Judgments,
+arXiv:1809.01060 [cs.CL], https://arxiv.org/abs/1809.01060.
+
Arendse Bernth and Shalom Lappin (1991), A Meaning Postulate Based
+Inference System for Natural Language, Technical Report RC 16947,
+IBM T.J. Watson Research Center, Yorktown Heights, NY.
+
Igal Golan, Shalom Lappin, and M. Rimon (1989), Computing
+Grammatical Functions from Configurational Parse Trees, Technical
+Report 88.268, IBM Science and Technology and Scientific Center,
+Haifa.
+
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+
The Centre for Linguistic Theory and Studies in Probability
Sharid Loáiciga
Coordinating Director
I'm an Associate Senior Lecturer in Computational Linguistics and the Coordinating Director of CLASP. I work in document-level NLP with a special interest in anaphoric phenomena, i.e., how humans interpret everyday referring expressions like 'it', 'this', and 'that', and how machines mimic that behavior. Applications in which I have focused include machine translation, corpora annotation, and probing and interpretability of pre-trained language models. For more information, please visit my personal webpage.
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+
The Centre for Linguistic Theory and Studies in Probability
Simon Dobnik
Professor of Computational Linguistics
Simon Dobnik is a Professor of Computational Linguistics at CLASP.
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+
The Centre for Linguistic Theory and Studies in Probability
Staffan Larsson
Professor of Computational Linguistics
Staffan Larsson is a Professor of Computational Linguistics at CLASP.
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+
The Centre for Linguistic Theory and Studies in Probability
Stergios Chatzikyriakidis
Associate Researcher
Stergios Chatzikyriakidis is a Professor of Computational Linguistics at the University of Crete. He earned his BA in Greek Philology specializing in Linguistics at Aristotle University, Thessaloniki. He continued his studies with an MSc in Computational Linguistics and Formal Grammar, and a PhD in Linguistics, both from King’s College, London. He has worked at Royal Holloway, University of London, the French National Centre for Scientific Research (CNRS), the Open University of Cyprus and the University of Gothenburg. From 2016 until 2021, he was the Associate Director of the Center for Linguistic Theory and Studies in Probability (CLASP) and a Docent (Associate Professor) in Computational Linguistics at the University of Gothenburg.
+
His research interests lie within Computational/Formal Semantics/Syntax. Constructive Type Theoretical Semantics and their Implementation, Natural Language Inference, Probabilistic Semantics, Dialogue Modelling and the interaction between Logic and Machine Learning/Deep Learning for NLP are some of the topics he has been working on. webpage.
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+
The Centre for Linguistic Theory and Studies in Probability
Susanna Myyry
Administrator
I am the administrator of CLASP - a project within the Department of Philosophy, Linguistics and Theory of Science (FLoV). My tasks involve (among other things), arranging travel and appointments, updating the CLASP website, handling invoices, purchases, conference and guest research administration.
+
Prior I have worked mostly with economy administration, both in the state and private sector.
+
I am a communicative and positive person, with a great interest in languages, other people and cultures. An interest I have had for as long as I can remember. Possibly coming from being raised in a bilingual family, with both Swedish and Finnish as native languages...
+
My interest in languages has led me to a lot of language studies and trips both here in Sweden as abroad. Most recently, three years at the University of Gothenburg and the International Language Program with a Spanish orientation. The goal after the studies was to get an employment within GU where I could combine my language and administrative knowledges and skills; which I gratefully managed!
+
You are most welcome to contact me, in Finnish, Spanish, English or, if you prefer, in good, old Swedish ;-) :-)
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+
The Centre for Linguistic Theory and Studies in Probability
Sylvie Saget
PhD Student
Sylvie Saget is a PhD/Doctoral Researcher in Computational Linguistics. Her research focuses on conversational agents that can talk and act autonomously such as humans, robots, virtual humans - or, generally speaking, any kind of object or system involving social interaction.
+
Her research focuses on the modeling of reasoning and dialogue via a transdisciplinary approach mixing philosophy (of Mind + of Science&Technology), logics and psychology. Application areas she is focusing on:
PhD Project: "Language as a tool: A rational and cognitive approach"
+
The original approach is to refashion rationality starting from a distinction between two types of information (facts and infos related to what to do or use/how to behave) and the specification of corresponding information containers (epistemic mental attitude and memory-box). Based on this distinction regarding types of information & information-containers, I am developing a cognitive and rational approach of cognition, a rational dialog model as well as a cognitive architecture.
+
My scientific journey:
+
+
From Conversational AI to Pragmatics / Dialog modeling
+
Pragmatics / Dialog modeling: From an activity / reasoning / process-based approach to the 1rst definition in term of kind of information/data using modern epistemology & cognitive sciences
+
From modern epistemology to (Conversational) Agent theory and architecture
+
+
And Back Again
+
The key notions I am developing: Acceptance a belief-like doxastic state - caracterisation and representation of tools & much more!
+
+
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+
The Centre for Linguistic Theory and Studies in Probability
Tewodros Gebreselassie
PhD Student
Tewodros Gebreselassie is a PhD Student at CLASP.
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diff --git a/people/vidya-somashekarappa/index.html b/people/vidya-somashekarappa/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Vidya Somashekarappa
PhD Student
Vidya Somashekarappa is a PhD Student at CLASP.
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diff --git a/people/vladislav-maraev/index.html b/people/vladislav-maraev/index.html
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+
The Centre for Linguistic Theory and Studies in Probability
Vladislav Maraev
PhD Student
Vladislav Maraev was a PhD Student at CLASP.
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+
The Centre for Linguistic Theory and Studies in Probability
Wafia Adouane
PhD Student
Wafia Adouane was a PhD Student at CLASP.
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+
The Centre for Linguistic Theory and Studies in Probability
Yuri Bizzoni
PhD student
Yuri Bizzoni was a PhD student at CLASP, and defended February 2019 (now in Saarbrücken).
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+
The Centre for Linguistic Theory and Studies in Probability
Constructive Type Theories and Natural Language Semantics
The course concentrates on the use of constructive type theories to the study of natural language semantics. It presents an alternative language to be used in representing the semantics of NL based on the notion of proof, rather than the notion of truth with respect to a model as standard in classic Montague Semantics.
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+
The Centre for Linguistic Theory and Studies in Probability
Dialogue Systems 2
The course gives in-depth knowledge about theories and methods for the design, implementation and evaluation of dialogue systems by focusing especially on:
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+
The Centre for Linguistic Theory and Studies in Probability
Language, Action, and Perception
This is a PhD course that explores computational modelling of language and vision in particular in relation to situated dialogue agents and image classification. There is a parallel course at the master’s level which this course may partially overlap with: LT2308 ESLP: Embodied and Situated Language Processing or LT2318: Artificial Intelligence: Cognitive Systems.
+
The course gives a survey of theory and practical computational implementations of how natural language interacts with the physical world through action and perception. We will look at topics such as semantic theories and computational approaches to modelling natural language, action and perception (grounding), situated dialogue systems, integrated robotic systems, grounding of language in action and perception, generation and interpretation of scene descriptions from images and videos, spatial cognition, and others.
+
As the course studies how humans structure and interact with the physical world and express it in language, it bridges into the domains of cognitive science, computer vision, robotics and therefore more broadly belongs to the field of cognitive artificial intelligence. Typical applications of computational models of language, action, and perception are image search and retrieval on the web, navigation systems that provide more natural, human-like instructions, and personal robots and situated conversational agents that interact with us in our home environment through language.
+
The learning outcomes of the course are based on covering 3 topics: (i) the relation between language and perception in human interaction, (ii) how language and perception is modelled with formal and computational models and methods and how these are integrated with different applications, and (iii) how research in the field is communicated scientifically.
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+
The Centre for Linguistic Theory and Studies in Probability
ML Methods for Vision and Language
The course focuses on machine learning/deep learning models and techniques such as Recurrent Neural Networks (RNNs), Long-Short Term Memory Networks (LSTMs), Convolutional Neural Networks (ConvNets), Neural Auto-Encoders, Memory Networks, and others applied to computational modeling of natural language and images, and other sensory information.
+
Theoretically, it examines how machine learning approaches address topics such as multi-modal grounded representations of meaning, representing and resolving semantic ambiguity, attention and salience, perception and dialogue interaction, natural language interpretation, natural language generation, natural language reasoning and inference, and collection of perceptual and linguistic data.
+
Practically, the course oveviews contemporary computer vision and natural language processing tasks such as generating image and video descriptions, visual question answering, image retrieval using text queries, aligning images and text in large data collections, image generation from textual descriptions, and others.
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+
The Centre for Linguistic Theory and Studies in Probability
The Doctoral Studies webpage can be accessed here.
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The Centre for Linguistic Theory and Studies in Probability
Representations of Meaning
The course gives a survey of theory and computational implementations of representing and reasoning with meaning in natural languages from cognitive, linguistic and computational perspective. We will look at formal theories and computational implementations to model-theoretic semantics (lambda calculus), situated and grounded representations of meaning, semantic grammars (CCG, dependency grammar), distributional representations of lexical meaning and its compositional extensions, approaches to unsupervised machine learning of linguistic representations, and others. An emphasis of the course will be (i) on the nature of representations, (ii) how they satisfy the notion of compositionality, (iii) how they are used in inference or reasoning and (iv) what natural language processing applications are they useful for.
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The Centre for Linguistic Theory and Studies in Probability
Sociolinguistics and bilingualism for NLP
The course overviews basic concepts and theories in sociolinguistics and bilingualism. It examines their implications for computational approaches to language in respect to the collection and processing of corpora of speech, writing or social media displaying sociolinguistic variation and/or code- switching, borrowing and similar phenomena of multilingual communities.
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The Centre for Linguistic Theory and Studies in Probability
Topics in Advanced Deep Machine Learning
This course comes into an introductory as well as an advanced version. It is a reading course.
+
Course content for the introductory version: An introduction to the basic concepts of deep machine learning as applied to problems in natural language processing.
+
Course content for the advanced version: Advanced applications of deep machine learning as applied to problems in natural language processing and artificial intelligence.
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The Centre for Linguistic Theory and Studies in Probability
Type Theory with Records: From Perception to Communication
The course introduces TTR, a Type Theory with Records, as a framework for natural language grammar and interaction. We follow Cooper (in preparation) in taking a dialogical view of semantics. The course covers the formal foundations of TTR as well as TTR accounts of perception, intensionality, information exchange, grammar (syntax and semantics), quantification, modality and other linguistic phenomena. It also covers the relation between TTR and other type theories for natural language semantics, as well as recent extensions and applications of TTR.
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The Centre for Linguistic Theory and Studies in Probability
PhD courses
Here you can find a number of courses that are offered at PhD level at CLASP. Some of the courses are reading courses. See each course for more details on the format.
SMOG is exploring the construction of an enriched stochastic model that
+represents the syntactic knowledge that native speakers of English have
+of their language.
+
We are hoping that this kind of model will provide a straightforward
+explanation for the fact that individual native speakers generally judge
+the well formedness of sentences along a continuum, rather than through
+the imposition of a sharp boundary between acceptable and unacceptable
+sentences.
+
We are experimenting with different sorts of language models that
+contain a variety of parameters encoding properties of sentences and
+probability distributions over corpora.
+
We are training these models on subsets of the British National
+Corpus (BNC), and we are testing them on
+additional subsets of the BNC into which we have introduced grammatical
+deformations and infelicities of varying degrees of severity and
+subtlety.
+
We hope to show that a sufficiently complex enriched language model can
+encode a fair amount of what native speakers know about the syntax of
+their language.
+
This research holds out the prospect of important impact in two areas.
+
+
It can shed light on the relationship between the representation and
+acquisition of linguistic knowledge on one hand, and learning and
+the encoding of knowledge in other cognitive domains. This can, in
+turn, help to clarify the respective roles of biologically
+conditioned learning biases and data driven learning in human
+cognition.
+
+
This work can contribute to the development of more effective
+language technology by providing insight into the way in which
+humans represent the syntactic properties of sentences in their
+language. To the extent that natural language processing systems
+take account of this class of representations they will provide more