Infomaniak-AI/onnx-opus-mt-fr-en

opus-mt-fr-en

• source languages: fr

• target languages: en

• OPUS readme: fr-en

• dataset: opus

• model: transformer-align

• pre-processing: normalization + SentencePiece

• download original weights: opus-2020-02-26.zip

• test set translations: opus-2020-02-26.test.txt

• test set scores: opus-2020-02-26.eval.txt

Benchmarks

testset	BLEU	chr-F
newsdiscussdev2015-enfr.fr.en	33.1	0.580
newsdiscusstest2015-enfr.fr.en	38.7	0.614
newssyscomb2009.fr.en	30.3	0.569
news-test2008.fr.en	26.2	0.542
newstest2009.fr.en	30.2	0.570
newstest2010.fr.en	32.2	0.590
newstest2011.fr.en	33.0	0.597
newstest2012.fr.en	32.8	0.591
newstest2013.fr.en	33.9	0.591
newstest2014-fren.fr.en	37.8	0.633
Tatoeba.fr.en	57.5	0.720