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opus-2020-06-17.zip

  • dataset: opus
  • model: transformer-align
  • source language(s): deu
  • target language(s): nno nob
  • model: transformer-align
  • pre-processing: normalization + SentencePiece (spm4k,spm4k)
  • a sentence initial language token is required in the form of >>id<< (id = valid target language ID)
  • download: opus-2020-06-17.zip
  • test set translations: opus-2020-06-17.test.txt
  • test set scores: opus-2020-06-17.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.deu.nor 33.2 0.554

opus-2021-02-24.zip

  • dataset: opus
  • model: transformer
  • source language(s): deu
  • target language(s): nno nob
  • 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: >>nob<< >>nno<<
  • download: opus-2021-02-24.zip
  • test set translations: opus-2021-02-24.test.txt
  • test set scores: opus-2021-02-24.eval.txt

Benchmarks

testset BLEU chr-F #sent #words BP
Tatoeba-test.deu-nno 36.3 0.601 126 950 0.992
Tatoeba-test.deu-nob 47.3 0.667 3525 31966 0.980
Tatoeba-test.deu-nor 47.3 0.667 3651 32928 0.980