Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation.

IEEE/ACM Transactions on Audio, Speech, and Language Processing(2019)

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摘要
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 monolingual sentence to the conditional probability of translating fr...
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关键词
Training,Data models,Decoding,Neural networks,Mathematical model,Computational modeling,Task analysis
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