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opus-2020-06-17.zip

  • dataset: opus
  • model: transformer-align
  • source language(s): swe
  • target language(s): nno nob
  • model: transformer-align
  • pre-processing: normalization + SentencePiece (spm4k,spm4k)
  • 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.swe.nor 65.8 0.796

opus-2020-09-10.zip

  • dataset: opus
  • model: transformer
  • source language(s): swe
  • target language(s): nno nob
  • 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.swe.nor 73.6 0.843