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opus-2021-02-16.zip

  • dataset: opus
  • model: transformer
  • source language(s): chm est fin fkv hun izh kom krl liv mdf myv olo sma sme udm vep
  • target language(s): dan fao isl non nor swe
  • 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-2021-02-16.zip
  • test set translations: opus-2021-02-16.test.txt
  • test set scores: opus-2021-02-16.eval.txt

Benchmarks

testset BLEU chr-F
fiskmo_testset-finswe.fin.swe 22.0 0.553
Tatoeba-test.est-fao.est.fao 1.9 0.155
Tatoeba-test.fin-dan.fin.dan 52.4 0.676
Tatoeba-test.fin-isl.fin.isl 100.0 1.000
Tatoeba-test.fin-nor.fin.nor 45.4 0.668
Tatoeba-test.fin-swe.fin.swe 50.4 0.666
Tatoeba-test.fkv-nor.fkv.nor 18.7 0.433
Tatoeba-test.fkv-swe.fkv.swe 32.5 0.481
Tatoeba-test.hun-dan.hun.dan 37.9 0.707
Tatoeba-test.hun-nor.hun.nor 54.8 0.730
Tatoeba-test.hun-swe.hun.swe 48.2 0.647
Tatoeba-test.izh-nor.izh.nor 73.1 0.629
Tatoeba-test.krl-nor.krl.nor 50.1 0.574
Tatoeba-test.multi.multi 49.9 0.666
Tatoeba-test.sma-nor.sma.nor 3.9 0.108
Tatoeba-test.sme-nor.sme.nor 3.6 0.106
Tatoeba-test.sme-swe.sme.swe 4.2 0.179
Tatoeba-test.vep-nor.vep.nor 2.8 0.203

opus-2021-02-19.zip

  • dataset: opus
  • model: transformer
  • source language(s): est fin fkv hun izh krl sma sme vep
  • target language(s): dan fao isl nno nob swe
  • 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: >>nno<< >>nob<< >>swe<< >>dan<< >>isl<<
  • download: opus-2021-02-19.zip
  • test set translations: opus-2021-02-19.test.txt
  • test set scores: opus-2021-02-19.eval.txt

Benchmarks

testset BLEU chr-F #sent #words BP
fiskmo_testset.fin-swe 22.0 0.553 523 9479 0.996
Tatoeba-test.est-fao 1.9 0.155 1 27 0.656
Tatoeba-test.fin-dan 52.4 0.676 2665 16672 1.000
Tatoeba-test.fin-isl 100.0 1.000 2 8 1.000
Tatoeba-test.fin-nor 45.4 0.668 2489 14768 1.000
Tatoeba-test.fin-swe 50.4 0.666 2500 16762 0.969
Tatoeba-test.fkv-nor 18.7 0.433 37 153 0.960
Tatoeba-test.fkv-swe 32.5 0.481 1 6 1.000
Tatoeba-test.hun-dan 37.9 0.707 75 456 1.000
Tatoeba-test.hun-nor 54.8 0.730 137 919 0.982
Tatoeba-test.hun-swe 48.2 0.647 1614 11114 0.953
Tatoeba-test.izh-nor 73.1 0.629 2 7 1.000
Tatoeba-test.krl-nor 50.1 0.574 15 88 1.000
Tatoeba-test.multi-multi 49.9 0.666 9548 61057 0.997
Tatoeba-test.sma-nor 3.9 0.108 2 15 0.607
Tatoeba-test.sme-nor 3.6 0.106 2 15 0.931
Tatoeba-test.sme-swe 4.2 0.179 4 23 1.000
Tatoeba-test.vep-nor 2.8 0.203 2 24 1.000