CUED Publications database

Syntactically Guided Neural Machine Translation

Stahlberg, F and Hasler, E and Waite, A and Byrne, B (2016) Syntactically Guided Neural Machine Translation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2. pp. 299-305. (Unpublished)

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We investigate the use of hierarchical phrase-based SMT lattices in end-to-end neural machine translation (NMT). Weight pushing transforms the Hiero scores for complete translation hypotheses, with the full translation grammar score and full n-gram language model score, into posteriors compatible with NMT predictive probabilities. With a slightly modified NMT beam-search decoder we find gains over both Hiero and NMT decoding alone, with practical advantages in extending NMT to very large input and output vocabularies.

Item Type: Article
Uncontrolled Keywords: cs.CL cs.CL
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 20:01
Last Modified: 22 May 2018 08:18