opus-2020-06-17.zip dataset: opus model: transformer-align source language(s): por target language(s): tgl_Latn 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.por.tgl 28.4 0.565 opus-2021-02-18.zip dataset: opus model: transformer source language(s): pob por target language(s): tgl 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: >>tgl_Latn<< >>tgl<< download: opus-2021-02-18.zip test set translations: opus-2021-02-18.test.txt test set scores: opus-2021-02-18.eval.txt Benchmarks testset BLEU chr-F #sent #words BP Tatoeba-test.por-tgl 26.1 0.555 3554 27240 1.000