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opus-2020-06-18.zip

  • dataset: opus
  • model: transformer-align
  • source language(s): ell
  • target language(s): ara arz
  • 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-2020-06-18.zip
  • test set translations: opus-2020-06-18.test.txt
  • test set scores: opus-2020-06-18.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.ell.ara 21.9 0.486

opus-2020-07-03.zip

  • dataset: opus
  • model: transformer
  • source language(s): ell
  • target language(s): ara arz
  • 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-2020-07-03.zip
  • test set translations: opus-2020-07-03.test.txt
  • test set scores: opus-2020-07-03.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.ell.ara 21.9 0.485

opus-2021-02-24.zip

  • dataset: opus
  • model: transformer
  • source language(s): ell
  • target language(s): ara arq arz
  • 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: >>ara<< >>arq<< >>arz<<
  • 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.ell-ara 22.5 0.482 425 1686 0.983
Tatoeba-test.ell-arz 2.6 0.229 10 39 1.000