OPUS-MT-train/models/ca+es+fr+ga+it+la+oc+pt_br+pt-ca+es+fr+ga+it+la+oc+pt_br+pt

opus-2019-12-04.zip

• dataset: opus
• model: transformer
• pre-processing: normalization + tokenization + BPE
• a sentence initial language token is required in the form of >>id<< (id = valid target language ID)
• download: opus-2019-12-04.zip
• test set translations: opus-2019-12-04.test.txt
• test set scores: opus-2019-12-04.eval.txt

Benchmarks

testset	BLEU	chr-F
newssyscomb2009.es.fr	29.6	0.561
newssyscomb2009.fr.es	30.3	0.561
news-test2008.es.fr	27.9	0.538
news-test2008.fr.es	28.6	0.538
newstest2009.es.fr	26.3	0.537
newstest2009.fr.es	27.1	0.537
newstest2010.es.fr	30.2	0.563
newstest2010.fr.es	30.9	0.563
newstest2011.es.fr	29.3	0.552
newstest2011.fr.es	30.1	0.552
newstest2012.es.fr	29.5	0.553
newstest2012.fr.es	30.2	0.553
newstest2013.es.fr	27.6	0.536
newstest2013.fr.es	28.4	0.536
Tatoeba.ca.pt	50.7	0.659