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dataset: opus
model: transformer
source language(s): eng
target language(s): mol ron
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
a sentence initial language token is required in the form of >>id<<
(id = valid target language ID)
download: opus-2020-08-27.zip
test set translations: opus-2020-08-27.test.txt
test set scores: opus-2020-08-27.eval.txt
testset
BLEU
chr-F
newsdev2016-enro-engron.eng.ron
30.7
0.591
newstest2016-enro-engron.eng.ron
28.4
0.573
Tatoeba-test.eng.ron
45.0
0.665
dataset: opus
model: transformer
source language(s): eng
target language(s): mol ron
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
a sentence initial language token is required in the form of >>id<<
(id = valid target language ID)
valid language labels:
download: opus-2021-02-23.zip
test set translations: opus-2021-02-23.test.txt
test set scores: opus-2021-02-23.eval.txt
testset
BLEU
chr-F
#sent
#words
BP
newsdev2016-enro.eng-ron
30.7
0.592
1999
51566
1.000
newstest2016-enro.eng-ron
28.4
0.573
1999
49094
1.000
Tatoeba-test.eng-ron
45.0
0.666
5000
36851
0.990
dataset: opus+bt
model: transformer-align
source language(s): eng
target language(s): mol ron
model: transformer-align
pre-processing: normalization + SentencePiece (spm32k,spm32k)
a sentence initial language token is required in the form of >>id<<
(id = valid target language ID)
valid language labels:
download: opus+bt-2021-03-07.zip
test set translations: opus+bt-2021-03-07.test.txt
test set scores: opus+bt-2021-03-07.eval.txt
testset
BLEU
chr-F
#sent
#words
BP
newsdev2016-enro.eng-ron
33.5
0.610
1999
51566
0.984
newstest2016-enro.eng-ron
31.7
0.591
1999
49094
0.998
Tatoeba-test.eng-ron
46.9
0.678
5000
36851
0.983
opusTCv20210807+bt_transformer-big_2022-02-25.zip
testset
BLEU
chr-F
#sent
#words
BP
newsdev2016-enro.eng-ron
36.9
0.62849
1999
51566
0.990
newstest2016-enro.eng-ron
34.3
0.60802
1999
49094
1.000
Tatoeba-test-v2021-08-07.eng-multi
48.6
0.68634
5508
40367
0.984
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