Vocabulary Manipulation for Neural Machine Translation Accepted as a short paper in ACL 2016.
Table 4: Single system results on En-Fr task.
['single system Moses from cho+:2014', 'single system Moses from cho+:2014', 'dev.', 'test 33.30']
The standard Moses in \newcitecho+:2014 on the test set is 33.3. Our target vocabulary manipulation achieves a BLEU score of 34.45 on the test set, and 35.11 after the UNK replacement. Our approach improves the translation quality by 1.0 BLEU point on the test set over the method of \newcitejean+:2015.