Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation

IEEE/ACM Transactions on Audio, Speech, and Language Processing, pp. 1564-1576, 2019.

Cited by: 0|Bibtex|Views58|DOI:https://doi.org/10.1109/TASLP.2019.2921423
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Neural machine translation (NMT) heavily relies on parallel bilingual corpora for training. Since large-scale, high-quality parallel corpora are usually costly to collect, it is appealing to exploit monolingual corpora to improve NMT. Inspired by the law of total probability, which connects the probability of a given target-side monolingu...More

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