Abstract
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.
Cite
CITATION STYLE
Vanmassenhove, E., & Way, A. (2018). SuperNMT: Neural machine translation with semantic supersenses and syntactic supertags. In ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Student Research Workshop (pp. 67–73). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/p18-3010
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