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opus-2020-10-04.zip

  • dataset: opus
  • model: transformer
  • source language(s): eng lao tha
  • target language(s): eng lao tha
  • 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-2020-10-04.zip
  • test set translations: opus-2020-10-04.test.txt
  • test set scores: opus-2020-10-04.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.eng-lao.eng.lao 0.2 0.304
Tatoeba-test.eng-tha.eng.tha 2.3 0.516
Tatoeba-test.lao-eng.lao.eng 4.5 0.200
Tatoeba-test.multi.multi 32.0 0.541
Tatoeba-test.tha-eng.tha.eng 40.5 0.589