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README.md

opus-2020-07-19.zip

  • dataset: opus
  • model: transformer
  • source language(s): ind pap
  • target language(s): ind pap
  • 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-2020-07-19.zip
  • test set translations: opus-2020-07-19.test.txt
  • test set scores: opus-2020-07-19.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.multi.multi 21.1 0.369

opus-2020-07-26.zip

  • dataset: opus
  • model: transformer
  • source language(s): ind pap
  • target language(s): ind pap
  • 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-2020-07-26.zip
  • test set translations: opus-2020-07-26.test.txt
  • test set scores: opus-2020-07-26.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.msa-msa.msa.msa 0.7 0.149
Tatoeba-test.msa-pap.msa.pap 31.7 0.577
Tatoeba-test.multi.multi 21.1 0.369
Tatoeba-test.pap-msa.pap.msa 17.7 0.197

opus-2020-09-26.zip

  • dataset: opus
  • model: transformer
  • source language(s): eng ind jak_Latn max_Latn min msa_Latn pap tmw_Latn zlm zlm_Latn zsm_Latn
  • target language(s): eng ind jak_Latn max_Latn min msa_Latn pap tmw_Latn zlm zlm_Latn zsm_Latn
  • 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-2020-09-26.zip
  • test set translations: opus-2020-09-26.test.txt
  • test set scores: opus-2020-09-26.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.eng-msa.eng.msa 33.2 0.587
Tatoeba-test.eng-pap.eng.pap 45.1 0.638
Tatoeba-test.msa-eng.msa.eng 39.8 0.585
Tatoeba-test.msa-msa.msa.msa 14.8 0.353
Tatoeba-test.msa-pap.msa.pap 31.7 0.577
Tatoeba-test.multi.multi 37.0 0.586
Tatoeba-test.pap-eng.pap.eng 48.9 0.603
Tatoeba-test.pap-msa.pap.msa 17.7 0.197

opus-2020-10-04.zip

  • dataset: opus
  • model: transformer
  • source language(s): eng ind jak_Latn max_Latn min msa_Latn pap tmw_Latn zlm zlm_Latn zsm_Latn
  • target language(s): eng ind jak_Latn max_Latn min msa_Latn pap tmw_Latn zlm zlm_Latn zsm_Latn
  • 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-msa.eng.msa 33.2 0.587
Tatoeba-test.eng-pap.eng.pap 45.1 0.638
Tatoeba-test.msa-eng.msa.eng 39.8 0.585
Tatoeba-test.msa-msa.msa.msa 14.8 0.353
Tatoeba-test.msa-pap.msa.pap 31.7 0.577
Tatoeba-test.multi.multi 37.0 0.586
Tatoeba-test.pap-eng.pap.eng 48.9 0.603
Tatoeba-test.pap-msa.pap.msa 17.7 0.197