opus-2020-06-16.zip dataset: opus model: transformer-align source language(s): glg target language(s): por model: transformer-align pre-processing: normalization + SentencePiece (spm4k,spm4k) download: opus-2020-06-16.zip test set translations: opus-2020-06-16.test.txt test set scores: opus-2020-06-16.eval.txt Benchmarks testset BLEU chr-F Tatoeba-test.glg.por 57.9 0.758 opus-2021-02-23.zip dataset: opus model: transformer source language(s): glg target language(s): pob por model: transformer pre-processing: normalization + SentencePiece (spm12k,spm12k) a sentence initial language token is required in the form of >>id<< (id = valid target language ID) valid language labels: >>por<< >>pob<< 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.glg-por 58.5 0.756 430 3078 0.978