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opus-2020-06-17.zip

  • dataset: opus
  • model: transformer-align
  • source language(s): dan
  • target language(s): nno nob
  • model: transformer-align
  • pre-processing: normalization + SentencePiece (spm12k,spm12k)
  • 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.dan.nor 66.4 0.801

opus-2021-02-23.zip

  • dataset: opus
  • model: transformer
  • source language(s): dan
  • 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-2021-02-23.zip
  • test set translations: opus-2021-02-23.test.txt
  • test set scores: opus-2021-02-23.eval.txt

Benchmarks

testset BLEU chr-F #sent #words BP
Tatoeba-test.dan-nno 38.4 0.663 12 71 0.986
Tatoeba-test.dan-nob 76.3 0.863 1299 9617 1.000
Tatoeba-test.dan-nor 76.0 0.863 1311 9691 0.999