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opus1m-2021-02-18.yml
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README.md

opus1m-2021-02-17.zip

  • dataset: opus1m
  • model: transformer
  • source language(s): bel orv rue rus ukr
  • target language(s): ast cat fra gcf glg ind ita jak lad min mol msa oci pob por ron spa zlm zsm
  • 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: >>spa<< >>fra<< >>pob<< >>ita<< >>ron<< >>por<< >>ind<< >>msa_Latn<< >>cat<< >>glg<< >>zlm_Latn<< >>oci<< >>jak_Latn<< >>ast<< >>zlm<< >>mol<< >>min<<
  • download: opus1m-2021-02-17.zip
  • test set translations: opus1m-2021-02-17.test.txt
  • test set scores: opus1m-2021-02-17.eval.txt

Benchmarks

testset BLEU chr-F #sent #words BP
Tatoeba-test.multi-multi 44.9 0.642 10000 66633 0.973

opus1m-2021-02-18.zip

  • dataset: opus1m
  • model: transformer
  • source language(s): bel orv rue rus ukr
  • target language(s): ast cat fra gcf glg ind ita jak lad min mol msa oci pob por ron spa zlm zsm
  • 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: >>spa<< >>fra<< >>pob<< >>ita<< >>ron<< >>por<< >>ind<< >>msa_Latn<< >>cat<< >>glg<< >>zlm_Latn<< >>oci<< >>jak_Latn<< >>ast<< >>zlm<< >>mol<< >>min<<
  • download: opus1m-2021-02-18.zip
  • test set translations: opus1m-2021-02-18.test.txt
  • test set scores: opus1m-2021-02-18.eval.txt

Benchmarks

testset BLEU chr-F #sent #words BP
newstest2012.rus-fra 21.5 0.509 3003 78011 0.998
newstest2012.rus-spa 25.6 0.525 3003 79006 0.965
newstest2013.rus-fra 24.9 0.528 3000 70037 0.992
newstest2013.rus-spa 27.5 0.535 3000 70528 0.959
Tatoeba-test.bel-fra 38.8 0.577 283 2005 0.997
Tatoeba-test.bel-ita 39.0 0.580 264 1681 0.999
Tatoeba-test.bel-lad 6.3 0.186 2 14 1.000
Tatoeba-test.bel-msa 1.1 0.156 3 43 1.000
Tatoeba-test.bel-por 19.3 0.444 3 21 1.000
Tatoeba-test.bel-spa 39.8 0.604 205 1412 1.000
Tatoeba-test.multi-multi 44.9 0.642 10000 66633 0.973
Tatoeba-test.orv-fra 8.0 0.232 37 290 0.990
Tatoeba-test.orv-ita 4.4 0.180 8 53 1.000
Tatoeba-test.orv-spa 7.4 0.289 33 171 1.000
Tatoeba-test.rue-spa 28.2 0.441 97 469 0.981
Tatoeba-test.rus-ast 23.6 0.703 1 5 1.000
Tatoeba-test.rus-cat 36.0 0.587 185 1342 0.977
Tatoeba-test.rus-fra 49.7 0.660 10000 70132 0.980
Tatoeba-test.rus-gcf 10.7 0.128 1 3 1.000
Tatoeba-test.rus-glg 31.8 0.560 37 228 1.000
Tatoeba-test.rus-ita 38.9 0.612 10000 71254 0.951
Tatoeba-test.rus-lad 14.9 0.399 18 100 1.000
Tatoeba-test.rus-msa 17.7 0.399 88 634 0.987
Tatoeba-test.rus-oci 2.5 0.226 84 571 0.972
Tatoeba-test.rus-por 37.7 0.600 10000 74713 0.957
Tatoeba-test.rus-ron 35.9 0.595 782 4768 0.953
Tatoeba-test.rus-spa 48.3 0.671 10000 71496 0.968
Tatoeba-test.ukr-cat 39.6 0.598 455 2670 0.997
Tatoeba-test.ukr-fra 47.3 0.644 10000 62877 0.998
Tatoeba-test.ukr-ita 46.4 0.671 5000 27846 0.955
Tatoeba-test.ukr-lad 12.6 0.320 20 108 1.000
Tatoeba-test.ukr-msa 14.8 0.366 9 79 0.987
Tatoeba-test.ukr-por 39.8 0.612 3372 21315 0.986
Tatoeba-test.ukr-spa 47.6 0.662 10000 58486 0.979