SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags
In this paper we incorporate semantic supersensetags 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.
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Machine TranslationNamed Entity Recognition (NER)NMTPrepositional Phrase AttachmentTranslationWord EmbeddingsSimilar Papers 제목 키워드 기반
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