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opus-2020-06-28.zip

  • dataset: opus
  • model: transformer
  • source language(s): eng
  • target language(s): kha khm khm_Latn mnw vie vie_Hani
  • 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-2020-06-28.zip
  • test set translations: opus-2020-06-28.test.txt
  • test set scores: opus-2020-06-28.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.eng-kha.eng.kha 0.4 0.054
Tatoeba-test.eng-khm.eng.khm 0.2 0.240
Tatoeba-test.eng-mnw.eng.mnw 0.9 0.003
Tatoeba-test.eng.multi 20.1 0.354
Tatoeba-test.eng-vie.eng.vie 33.6 0.512

opus-2020-07-27.zip

  • dataset: opus
  • model: transformer
  • source language(s): eng
  • target language(s): kha khm khm_Latn mnw vie vie_Hani
  • 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-2020-07-27.zip
  • test set translations: opus-2020-07-27.test.txt
  • test set scores: opus-2020-07-27.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.eng-kha.eng.kha 0.1 0.015
Tatoeba-test.eng-khm.eng.khm 0.2 0.226
Tatoeba-test.eng-mnw.eng.mnw 0.7 0.003
Tatoeba-test.eng.multi 16.5 0.330
Tatoeba-test.eng-vie.eng.vie 33.7 0.513