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opus1m-2021-05-16.zip

  • dataset: opus1m
  • model: transformer-align
  • source language(s): bel rus ukr
  • target language(s): cmn lzh nan yue
  • 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: >>cmn<< >>cmn_Hans<< >>cmn_Hant<< >>lzh<< >>lzh_Hans<< >>nan<< >>yue_Hans<< >>yue_Hant<< >>zho<<
  • download: opus1m-2021-05-16.zip
  • test set translations: opus1m-2021-05-16.test.txt
  • test set scores: opus1m-2021-05-16.eval.txt

Benchmarks

testset BLEU chr-F #sent #words BP
Tatoeba-test.bel-cmn 5.9 0.083 2 27 1.000
Tatoeba-test.bel-cmn_Hans 9.5 0.094 171 1623 0.970
Tatoeba-test.bel-cmn_Hant 6.9 0.078 151 1303 0.956
Tatoeba-test.bel_Latn-cmn_Hant 1.9 0.000 1 11 0.905
Tatoeba-test.bel-zho 8.4 0.087 325 2964 0.972
Tatoeba-test.multi-zho 18.8 0.160 4400 41456 0.979
Tatoeba-test.rus-cmn 0.7 0.044 4 36 1.000
Tatoeba-test.rus-cmn_Hans 22.7 0.198 1086 11375 0.860
Tatoeba-test.rus-cmn_Hant 24.5 0.215 799 7340 0.797
Tatoeba-test.rus-lzh 0.4 0.022 202 1992 1.000
Tatoeba-test.rus-lzh_Hans 0.9 0.027 11 149 1.000
Tatoeba-test.rus-yue_Hans 2.3 0.044 224 2447 1.000
Tatoeba-test.rus-yue_Hant 2.8 0.055 174 1449 1.000
Tatoeba-test.rus-zho 17.4 0.154 2500 24788 1.000
Tatoeba-test.ukr-cmn 0.4 0.003 8 34 1.000
Tatoeba-test.ukr-cmn_Hans 23.8 0.205 853 7925 0.847
Tatoeba-test.ukr-cmn_Hant 25.2 0.214 530 4119 0.843
Tatoeba-test.ukr-yue_Hans 1.4 0.036 82 815 1.000
Tatoeba-test.ukr-yue_Hant 4.5 0.068 102 810 1.000
Tatoeba-test.ukr-zho 21.8 0.185 1575 13703 0.889