opus-2021-05-16.zip dataset: opus model: transformer-align source language(s): swe target language(s): cmn nan yue model: transformer-align 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: >>cmn<< >>cmn_Hans<< >>cmn_Hant<< >>nan<< >>yue_Hans<< >>yue_Hant<< >>zho<< download: opus-2021-05-16.zip test set translations: opus-2021-05-16.test.txt test set scores: opus-2021-05-16.eval.txt Benchmarks testset BLEU chr-F #sent #words BP Tatoeba-test.swe-cmn 4.1 0.204 4 54 0.113 Tatoeba-test.swe-cmn_Hans 39.7 0.326 477 4106 0.926 Tatoeba-test.swe-cmn_Hant 41.2 0.348 569 4265 0.857 Tatoeba-test.swe-zho 40.1 0.335 1050 8425 0.889