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opus-2020-06-18.zip

  • dataset: opus
  • model: transformer
  • source language(s): spa
  • target language(s): apc apc_Latn ara arq
  • 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-2020-06-18.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.spa.ara 19.6 0.516

opus-2020-07-03.zip

  • dataset: opus
  • model: transformer
  • source language(s): spa
  • target language(s): apc apc_Latn ara arq
  • 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.spa.ara 20.0 0.517

opus-2021-02-23.zip

  • dataset: opus
  • model: transformer
  • source language(s): spa
  • target language(s): apc 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-2021-02-23.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.spa-ara 18.8 0.506 1511 7547 0.952