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dataset: opus
model: transformer
source language(s): eng
target language(s): bel bel_Latn orv_Cyrl rue rus ukr
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-2020-06-28.zip
test set translations: opus-2020-06-28.test.txt
test set scores: opus-2020-06-28.eval.txt
testset
BLEU
chr-F
newstest2012-engrus.eng.rus
25.6
0.533
newstest2013-engrus.eng.rus
20.0
0.480
newstest2015-enru-engrus.eng.rus
22.4
0.518
newstest2016-enru-engrus.eng.rus
21.7
0.505
newstest2017-enru-engrus.eng.rus
23.6
0.527
newstest2018-enru-engrus.eng.rus
20.9
0.513
newstest2019-enru-engrus.eng.rus
22.0
0.487
Tatoeba-test.eng-bel.eng.bel
20.5
0.468
Tatoeba-test.eng.multi
35.6
0.570
Tatoeba-test.eng-orv.eng.orv
0.4
0.140
Tatoeba-test.eng-rue.eng.rue
0.9
0.158
Tatoeba-test.eng-rus.eng.rus
38.8
0.598
Tatoeba-test.eng-ukr.eng.ukr
36.9
0.582
dataset: opus
model: transformer
source language(s): eng
target language(s): bel bel_Latn orv_Cyrl rue rus ukr
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-2020-07-27.zip
test set translations: opus-2020-07-27.test.txt
test set scores: opus-2020-07-27.eval.txt
testset
BLEU
chr-F
newstest2012-engrus.eng.rus
25.9
0.535
newstest2013-engrus.eng.rus
20.0
0.480
newstest2015-enru-engrus.eng.rus
22.5
0.517
newstest2016-enru-engrus.eng.rus
21.6
0.506
newstest2017-enru-engrus.eng.rus
23.4
0.526
newstest2018-enru-engrus.eng.rus
20.8
0.512
newstest2019-enru-engrus.eng.rus
21.6
0.485
Tatoeba-test.eng-bel.eng.bel
20.9
0.464
Tatoeba-test.eng.multi
35.3
0.564
Tatoeba-test.eng-orv.eng.orv
0.5
0.134
Tatoeba-test.eng-rue.eng.rue
1.3
0.178
Tatoeba-test.eng-rus.eng.rus
39.0
0.596
Tatoeba-test.eng-ukr.eng.ukr
36.7
0.579
dataset: opus2m
model: transformer
source language(s): eng
target language(s): bel bel_Latn orv_Cyrl rue rus ukr
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: opus2m-2020-08-02.zip
test set translations: opus2m-2020-08-02.test.txt
test set scores: opus2m-2020-08-02.eval.txt
testset
BLEU
chr-F
newstest2012-engrus.eng.rus
27.4
0.550
newstest2013-engrus.eng.rus
21.4
0.493
newstest2015-enru-engrus.eng.rus
24.2
0.534
newstest2016-enru-engrus.eng.rus
23.3
0.518
newstest2017-enru-engrus.eng.rus
25.3
0.541
newstest2018-enru-engrus.eng.rus
22.4
0.527
newstest2019-enru-engrus.eng.rus
24.1
0.505
Tatoeba-test.eng-bel.eng.bel
20.8
0.471
Tatoeba-test.eng.multi
37.2
0.580
Tatoeba-test.eng-orv.eng.orv
0.6
0.130
Tatoeba-test.eng-rue.eng.rue
1.4
0.168
Tatoeba-test.eng-rus.eng.rus
41.3
0.616
Tatoeba-test.eng-ukr.eng.ukr
38.7
0.596
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