opus-2020-06-17.zip dataset: opus model: transformer-align source language(s): eng target language(s): ben model: transformer-align pre-processing: normalization + SentencePiece (spm32k,spm32k) 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.eng.ben 16.9 0.484 opus-2021-02-23.zip dataset: opus model: transformer source language(s): eng target language(s): ben 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: >>ben<< >>ben_Cyrl<< >>ben_Deva<< >>ben_Gujr<< download: opus-2021-02-23.zip test set translations: opus-2021-02-23.test.txt test set scores: opus-2021-02-23.eval.txt Benchmarks testset BLEU chr-F #sent #words BP Tatoeba-test.eng-ben 16.6 0.481 2500 11654 1.000 tico19-test.eng-ben 5.6 0.327 2100 51751 0.833