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Ingested NoDaLiDa, MoTra, and nlp4call
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mjpost authored and akoehn committed Jun 1, 2021
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106 changes: 106 additions & 0 deletions data/xml/2021.motra.xml
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<?xml version='1.0' encoding='UTF-8'?>
<collection id="2021.motra">
<volume id="1" ingest-date="2021-05-31">
<meta>
<booktitle>Proceedings for the First Workshop on Modelling Translation: Translatology in the Digital Age</booktitle>
<editor><first>Yuri</first><last>Bizzoni</last></editor>
<editor><first>Elke</first><last>Teich</last></editor>
<editor><first>Cristina España</first><last>i Bonet</last></editor>
<editor><first>Josef</first><last>van Genabith</last></editor>
<publisher>Association for Computational Linguistics</publisher>
<address>online</address>
<month>May</month>
<year>2021</year>
</meta>
<frontmatter>
<url hash="b2669b3e">2021.motra-1.0</url>
</frontmatter>
<paper id="1">
<title>Do not Rely on Relay Translations: Multilingual Parallel Direct <fixed-case>E</fixed-case>uroparl</title>
<author><first>Kwabena</first><last>Amponsah-Kaakyire</last></author>
<author><first>Daria</first><last>Pylypenko</last></author>
<author><first>Cristina</first><last>España-Bonet</last></author>
<author><first>Josef</first><last>van Genabith</last></author>
<pages>1–7</pages>
<url hash="32420127">2021.motra-1.1</url>
</paper>
<paper id="2">
<title><fixed-case>H</fixed-case>ei<fixed-case>C</fixed-case>i<fixed-case>C</fixed-case>: A simultaneous interpreting corpus combining product and pre-process data</title>
<author><first>Kerstin</first><last>Kunz</last></author>
<author><first>Christoph</first><last>Stoll</last></author>
<author><first>Eva</first><last>Klüber</last></author>
<pages>8–14</pages>
<url hash="ffce0226">2021.motra-1.2</url>
</paper>
<paper id="3">
<title>Translation Quality Assessment: A Brief Survey on Manual and Automatic Methods</title>
<author><first>Lifeng</first><last>Han</last></author>
<author><first>Alan</first><last>Smeaton</last></author>
<author><first>Gareth</first><last>Jones</last></author>
<pages>15–33</pages>
<url hash="8faec69a">2021.motra-1.3</url>
</paper>
<paper id="4">
<title>Linguistic profiles of translation manuscripts and edited translations</title>
<author><first>Tatiana</first><last>Serbina</last></author>
<author><first>Mario</first><last>Bisiada</last></author>
<author><first>Stella</first><last>Neumann</last></author>
<pages>34–45</pages>
<url hash="322c4362">2021.motra-1.4</url>
</paper>
<paper id="5">
<title>Multiword expressions as discourse markers in <fixed-case>H</fixed-case>ebrew and <fixed-case>L</fixed-case>ithuanian</title>
<author><first>Giedre Valunaite</first><last>Oleskeviciene</last></author>
<author><first>Chaya</first><last>Liebeskind</last></author>
<pages>46–56</pages>
<url hash="54e8cb29">2021.motra-1.5</url>
</paper>
<paper id="6">
<title>Translation Competence in Machines: A Study of Adjectives in <fixed-case>E</fixed-case>nglish-<fixed-case>S</fixed-case>wedish Translation</title>
<author><first>Lars</first><last>Ahrenberg</last></author>
<pages>57–65</pages>
<url hash="827e7147">2021.motra-1.6</url>
</paper>
<paper id="7">
<title>Polarity in Translation: Differences between Novice and Experts across Registers</title>
<author><first>Ekaterina</first><last>Lapshinova-Koltunski</last></author>
<author><first>Fritz</first><last>Kliche</last></author>
<author><first>Anna</first><last>Moskvina</last></author>
<author><first>Johannes</first><last>Schäfer</last></author>
<pages>66–73</pages>
<url hash="54d3bbb1">2021.motra-1.7</url>
</paper>
<paper id="8">
<title>Word Alignment Dissimilarity Indicator: Alignment Links as Conceptualizations of a Focused Bilingual Lexicon</title>
<author><first>Devin</first><last>Gilbert</last></author>
<author><first>Michael</first><last>Carl</last></author>
<pages>74–81</pages>
<url hash="ae6d149e">2021.motra-1.8</url>
</paper>
<paper id="9">
<title>Found in translation/interpreting: combining data-driven and supervised methods to analyse cross-linguistically mediated communication</title>
<author><first>Ekaterina</first><last>Lapshinova-Koltunski</last></author>
<author><first>Yuri</first><last>Bizzoni</last></author>
<author><first>Heike</first><last>Przybyl</last></author>
<author><first>Elke</first><last>Teich</last></author>
<pages>82–90</pages>
<url hash="40234a41">2021.motra-1.9</url>
</paper>
<paper id="10">
<title>Automatic Classification of Human Translation and Machine Translation: A Study from the Perspective of Lexical Diversity</title>
<author><first>Yingxue</first><last>Fu</last></author>
<author><first>Mark-Jan</first><last>Nederhof</last></author>
<pages>91–99</pages>
<url hash="080f6565">2021.motra-1.10</url>
</paper>
<paper id="11">
<title>Quantitative Evaluation of Alternative Translations in a Corpus of Highly Dissimilar <fixed-case>F</fixed-case>innish Paraphrases</title>
<author><first>Li-Hsin</first><last>Chang</last></author>
<author><first>Sampo</first><last>Pyysalo</last></author>
<author><first>Jenna</first><last>Kanerva</last></author>
<author><first>Filip</first><last>Ginter</last></author>
<pages>100–107</pages>
<url hash="7e5fc571">2021.motra-1.11</url>
</paper>
</volume>
</collection>
71 changes: 71 additions & 0 deletions data/xml/2021.nlp4call.xml
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<?xml version='1.0' encoding='UTF-8'?>
<collection id="2021.nlp4call">
<volume id="1" ingest-date="2021-05-31">
<meta>
<booktitle>Proceedings of the 10th Workshop on NLP for Computer Assisted Language Learning</booktitle>
<editor><first>David</first><last>Alfter</last></editor>
<editor><first>Elena</first><last>Volodina</last></editor>
<editor><first>Ildikó</first><last>Pilan</last></editor>
<editor><first>Johannes</first><last>Graën</last></editor>
<editor><first>Lars</first><last>Borin</last></editor>
<publisher>LiU Electronic Press</publisher>
<address>Online</address>
<month>May</month>
<year>2021</year>
</meta>
<frontmatter>
<url hash="8d11d9d1">2021.nlp4call-1.0</url>
</frontmatter>
<paper id="1">
<title>An Experiment on Implicitly Crowdsourcing Expert Knowledge about <fixed-case>R</fixed-case>omanian Synonyms from Language Learners</title>
<author><first>Lionel</first><last>Nicolas</last></author>
<author><first>Lavinia Nicoleta</first><last>Aparaschivei</last></author>
<author><first>Verena</first><last>Lyding</last></author>
<author><first>Christos</first><last>Rodosthenous</last></author>
<author><first>Federico</first><last>Sangati</last></author>
<author><first>Alexander</first><last>König</last></author>
<author><first>Corina</first><last>Forascu</last></author>
<pages>1–14</pages>
<url hash="465cbdb5">2021.nlp4call-1.1</url>
</paper>
<paper id="2">
<title>Automatic annotation of curricular language targets to enrich activity models and support both pedagogy and adaptive systems</title>
<author><first>Martí</first><last>Quixal</last></author>
<author><first>Björn</first><last>Rudzewitz</last></author>
<author><first>Elizabeth</first><last>Bear</last></author>
<author><first>Detmar</first><last>Meurers</last></author>
<pages>15–27</pages>
<url hash="d830d86b">2021.nlp4call-1.2</url>
</paper>
<paper id="3">
<title><fixed-case>D</fixed-case>a<fixed-case>LAJ</fixed-case> – a dataset for linguistic acceptability judgments for <fixed-case>S</fixed-case>wedish</title>
<author><first>Elena</first><last>Volodina</last></author>
<author><first>Yousuf Ali</first><last>Mohammed</last></author>
<author><first>Julia</first><last>Klezl</last></author>
<pages>28–37</pages>
<url hash="4a9490e6">2021.nlp4call-1.3</url>
</paper>
<paper id="4">
<title>Using Broad Linguistic Complexity Modeling for Cross-Lingual Readability Assessment</title>
<author><first>Zarah</first><last>Weiss</last></author>
<author><first>Xiaobin</first><last>Chen</last></author>
<author><first>Detmar</first><last>Meurers</last></author>
<pages>38–54</pages>
<url hash="36556c69">2021.nlp4call-1.4</url>
</paper>
<paper id="5">
<title>Developing <fixed-case>F</fixed-case>lashcards for Learning <fixed-case>I</fixed-case>celandic</title>
<author><first>Xindan</first><last>Xu</last></author>
<author><first>Anton Karl</first><last>Ingason</last></author>
<pages>55–61</pages>
<url hash="46590fed">2021.nlp4call-1.5</url>
</paper>
<paper id="6">
<title>Leveraging Task Information in Grammatical Error Correction for Short Answer Assessment through Context-based Reranking</title>
<author><first>Ramon</first><last>Ziai</last></author>
<author><first>Anna</first><last>Karnysheva</last></author>
<pages>62–68</pages>
<url hash="7ec86a13">2021.nlp4call-1.6</url>
</paper>
</volume>
</collection>
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