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eng-aav

README.md

opus-2020-07-26.zip

  • dataset: opus
  • model: transformer
  • source language(s): eng
  • target language(s): hoc hoc_Latn 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-2020-07-26.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.eng-hoc.eng.hoc 0.1 0.033
Tatoeba-test.eng-kha.eng.kha 0.4 0.043
Tatoeba-test.eng-khm.eng.khm 0.2 0.242
Tatoeba-test.eng-mnw.eng.mnw 0.8 0.003
Tatoeba-test.eng.multi 16.1 0.311
Tatoeba-test.eng-vie.eng.vie 33.2 0.508

opus4m+btTCv20210807-2021-09-30.zip

  • dataset: opus4m+btTCv20210807
  • model: transformer
  • source language(s): eng
  • target language(s): hoc kha khm mnw ngt sat vie
  • 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)
  • valid language labels: >>hoc<< >>hoc_Latn<< >>kha<< >>khm<< >>khm_Arab<< >>khm_Cyrl<< >>khm_Hani<< >>khm_Latn<< >>mnw<< >>mnw_Latn<< >>ngt_Latn<< >>sat<< >>sat_Latn<< >>vie<< >>vie_Hani<< >>vie_Thaa<<
  • download: opus4m+btTCv20210807-2021-09-30.zip
  • test set translations: opus4m+btTCv20210807-2021-09-30.test.txt
  • test set scores: opus4m+btTCv20210807-2021-09-30.eval.txt

Benchmarks

testset BLEU chr-F #sent #words BP
Tatoeba-test-v2021-08-07.eng-multi 15.8 0.301 5226 38124 1.000
Tatoeba-test-v2021-08-07.multi-multi 15.8 0.301 5226 38124 1.000
tico19-test.eng-khm 0.8 0.032 2100 20941 1.000