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dataset: opus
model: transformer
source language(s): afh_Latn avk_Latn bzt_Latn dws_Latn epo ido ido_Latn ile_Latn ina_Latn jbo jbo_Cyrl jbo_Latn ldn_Latn lfn_Cyrl lfn_Latn nov_Latn qya qya_Latn sjn_Latn tlh_Latn tzl tzl_Latn vol_Latn
target language(s): eng
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
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
Tatoeba-test.afh-eng.afh.eng
1.1
0.097
Tatoeba-test.avk-eng.avk.eng
0.6
0.108
Tatoeba-test.bzt-eng.bzt.eng
0.8
0.109
Tatoeba-test.dws-eng.dws.eng
0.7
0.039
Tatoeba-test.epo-eng.epo.eng
34.7
0.529
Tatoeba-test.ido-eng.ido.eng
13.8
0.318
Tatoeba-test.ile-eng.ile.eng
5.7
0.234
Tatoeba-test.ina-eng.ina.eng
5.7
0.251
Tatoeba-test.jbo-eng.jbo.eng
0.2
0.113
Tatoeba-test.ldn-eng.ldn.eng
0.3
0.082
Tatoeba-test.lfn-eng.lfn.eng
1.5
0.169
Tatoeba-test.multi.eng
11.9
0.291
Tatoeba-test.nov-eng.nov.eng
3.9
0.209
Tatoeba-test.qya-eng.qya.eng
0.3
0.076
Tatoeba-test.sjn-eng.sjn.eng
1.0
0.081
Tatoeba-test.tlh-eng.tlh.eng
0.2
0.124
Tatoeba-test.tzl-eng.tzl.eng
1.1
0.125
Tatoeba-test.vol-eng.vol.eng
0.6
0.115
dataset: opus
model: transformer
source language(s): afh_Latn avk_Latn dws_Latn epo ido ido_Latn ile_Latn ina_Latn jbo jbo_Cyrl jbo_Latn ldn_Latn lfn_Cyrl lfn_Latn nov_Latn qya qya_Latn sjn_Latn tlh_Latn tzl tzl_Latn vol_Latn
target language(s): eng
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download: opus-2020-07-26.zip
test set translations: opus-2020-07-26.test.txt
test set scores: opus-2020-07-26.eval.txt
testset
BLEU
chr-F
Tatoeba-test.afh-eng.afh.eng
1.5
0.084
Tatoeba-test.avk-eng.avk.eng
0.4
0.104
Tatoeba-test.dws-eng.dws.eng
0.5
0.060
Tatoeba-test.epo-eng.epo.eng
34.8
0.529
Tatoeba-test.ido-eng.ido.eng
13.0
0.310
Tatoeba-test.ile-eng.ile.eng
5.2
0.227
Tatoeba-test.ina-eng.ina.eng
5.5
0.250
Tatoeba-test.jbo-eng.jbo.eng
0.2
0.111
Tatoeba-test.ldn-eng.ldn.eng
0.3
0.075
Tatoeba-test.lfn-eng.lfn.eng
1.8
0.171
Tatoeba-test.multi.eng
11.6
0.284
Tatoeba-test.nov-eng.nov.eng
4.2
0.210
Tatoeba-test.qya-eng.qya.eng
0.3
0.099
Tatoeba-test.sjn-eng.sjn.eng
0.5
0.091
Tatoeba-test.tlh-eng.tlh.eng
0.2
0.124
Tatoeba-test.tzl-eng.tzl.eng
1.0
0.115
Tatoeba-test.vol-eng.vol.eng
0.6
0.118
dataset: opus2m
model: transformer
source language(s): afh_Latn avk_Latn dws_Latn epo ido ido_Latn ile_Latn ina_Latn jbo jbo_Cyrl jbo_Latn ldn_Latn lfn_Cyrl lfn_Latn nov_Latn qya qya_Latn sjn_Latn tlh_Latn tzl tzl_Latn vol_Latn
target language(s): eng
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download: opus2m-2020-08-12.zip
test set translations: opus2m-2020-08-12.test.txt
test set scores: opus2m-2020-08-12.eval.txt
testset
BLEU
chr-F
Tatoeba-test.afh-eng.afh.eng
1.2
0.099
Tatoeba-test.avk-eng.avk.eng
0.4
0.105
Tatoeba-test.dws-eng.dws.eng
1.6
0.076
Tatoeba-test.epo-eng.epo.eng
34.6
0.530
Tatoeba-test.ido-eng.ido.eng
12.7
0.310
Tatoeba-test.ile-eng.ile.eng
4.6
0.218
Tatoeba-test.ina-eng.ina.eng
5.8
0.254
Tatoeba-test.jbo-eng.jbo.eng
0.2
0.115
Tatoeba-test.ldn-eng.ldn.eng
0.7
0.083
Tatoeba-test.lfn-eng.lfn.eng
1.8
0.172
Tatoeba-test.multi.eng
11.6
0.287
Tatoeba-test.nov-eng.nov.eng
5.1
0.215
Tatoeba-test.qya-eng.qya.eng
0.7
0.113
Tatoeba-test.sjn-eng.sjn.eng
0.9
0.090
Tatoeba-test.tlh-eng.tlh.eng
0.2
0.124
Tatoeba-test.tzl-eng.tzl.eng
1.4
0.109
Tatoeba-test.vol-eng.vol.eng
0.5
0.115
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