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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

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Showing 1191–1200 of 1773 papers

TitleStatusHype
Towards Understanding Neural Machine Translation with Word Importance—0
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation—0
Improving Back-Translation with Uncertainty-based Confidence EstimationCode0
Encoders Help You Disambiguate Word Senses in Neural Machine Translation—0
Handling Syntactic Divergence in Low-resource Machine TranslationCode0
Latent Part-of-Speech Sequences for Neural Machine Translation—0
Regularized Context Gates on Transformer for Machine Translation—0
On NMT Search Errors and Model Errors: Cat Got Your Tongue?—0
Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation—0
Multilingual Neural Machine Translation with Language Clustering—0
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