SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags

摘要

In this paper we incorporate semantic su-persensetags and syntactic supertag features into EN-FR and EN-DE factored NMT systems. In experiments on various test sets, we observe that such features (and particularly when combined) help the NMT model training to converge faster and improve the model quality according to the BLEU scores.