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opus-2020-09-10.zip

  • dataset: opus
  • model: transformer
  • source language(s): eng
  • target language(s): ber_Arab ber_Latn ber_Tfng
  • 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-2020-09-10.zip
  • test set translations: opus-2020-09-10.test.txt
  • test set scores: opus-2020-09-10.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.eng.ber 0.0 0.074

opus-2021-02-10.zip

  • dataset: opus
  • model: transformer
  • source language(s): eng
  • target language(s): ber kab rif shi shy tmh
  • 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-2021-02-10.zip
  • test set translations: opus-2021-02-10.test.txt
  • test set scores: opus-2021-02-10.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.eng.ber 0.0 0.074
Tatoeba-test.eng-ber.eng.ber 0.0 0.074
Tatoeba-test.eng-kab.eng.kab 0.0 0.071
Tatoeba-test.eng.multi 0.0 0.073
Tatoeba-test.eng-rif.eng.rif 0.3 0.058
Tatoeba-test.eng-shy.eng.shy 0.4 0.060