opus-2020-10-04.zip dataset: opus model: transformer source language(s): eng lao tha target language(s): eng lao tha 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) download: opus-2020-10-04.zip test set translations: opus-2020-10-04.test.txt test set scores: opus-2020-10-04.eval.txt Benchmarks testset BLEU chr-F Tatoeba-test.eng-lao.eng.lao 0.2 0.304 Tatoeba-test.eng-tha.eng.tha 2.3 0.516 Tatoeba-test.lao-eng.lao.eng 4.5 0.200 Tatoeba-test.multi.multi 32.0 0.541 Tatoeba-test.tha-eng.tha.eng 40.5 0.589