模型:
Helsinki-NLP/opus-mt-de-en
任务:
翻译许可:
apache-2.0source languages: de
target languages: en
OPUS readme: de-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
testset | BLEU | chr-F |
---|---|---|
newssyscomb2009.de.en | 29.4 | 0.557 |
news-test2008.de.en | 27.8 | 0.548 |
newstest2009.de.en | 26.8 | 0.543 |
newstest2010.de.en | 30.2 | 0.584 |
newstest2011.de.en | 27.4 | 0.556 |
newstest2012.de.en | 29.1 | 0.569 |
newstest2013.de.en | 32.1 | 0.583 |
newstest2014-deen.de.en | 34.0 | 0.600 |
newstest2015-ende.de.en | 34.2 | 0.599 |
newstest2016-ende.de.en | 40.4 | 0.649 |
newstest2017-ende.de.en | 35.7 | 0.610 |
newstest2018-ende.de.en | 43.7 | 0.667 |
newstest2019-deen.de.en | 40.1 | 0.642 |
Tatoeba.de.en | 55.4 | 0.707 |