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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 1611–1620 of 1773 papers

TitleStatusHype
Unsupervised Neural Machine TranslationCode0
Paying Attention to Multi-Word Expressions in Neural Machine TranslationCode0
The IIT Bombay English-Hindi Parallel Corpus—0
Enhanced Neural Machine Translation by Learning from DraftCode0
Dynamic Oracle for Neural Machine Translation in Decoding Phase—0
Toward a full-scale neural machine translation in production: the Booking.com use case—0
OpenNMT: Open-source Toolkit for Neural Machine Translation—0
Refining Source Representations with Relation Networks for Neural Machine Translation—0
Information-Propogation-Enhanced Neural Machine Translation by Relation Model—0
University of Rochester WMT 2017 NMT System Submission—0
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