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opus-2020-06-17.zip

  • dataset: opus
  • model: transformer-align
  • source language(s): deu
  • target language(s): ind zsm_Latn
  • 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)
  • 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.msa 34.0 0.607

opus-2021-02-18.zip

  • dataset: opus
  • model: transformer
  • source language(s): deu
  • target language(s): ind jak min msa 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: >>ind<< >>msa_Latn<< >>zlm_Latn<< >>jak_Latn<< >>zlm<< >>min<<
  • download: opus-2021-02-18.zip
  • test set translations: opus-2021-02-18.test.txt
  • test set scores: opus-2021-02-18.eval.txt

Benchmarks

testset BLEU chr-F #sent #words BP
Tatoeba-test.deu-ind 36.6 0.631 488 3359 0.959
Tatoeba-test.deu-msa 34.8 0.613 535 3729 0.951
Tatoeba-test.deu-zsm_Latn 16.1 0.461 47 370 0.874