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Old Age
Syntactically Guided Neural Machine Translation
May 15, 2016 ยท Declared Dead ยท ๐ Annual Meeting of the Association for Computational Linguistics
"No code URL or promise found in abstract"
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Authors
Felix Stahlberg, Eva Hasler, Aurelien Waite, Bill Byrne
arXiv ID
1605.04569
Category
cs.CL: Computation & Language
Citations
66
Venue
Annual Meeting of the Association for Computational Linguistics
Last Checked
5 months ago
Abstract
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.
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