opus-2020-06-17.zip dataset: opus model: transformer-align source language(s): rus target language(s): lav 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.rus.lav 50.0 0.696 opus-2021-02-23.zip dataset: opus model: transformer source language(s): rus target language(s): lav ltg 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: >>lav<< >>ltg<< 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.rus-lav 49.2 0.693 274 1518 0.964