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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 1711–1720 of 1773 papers

TitleStatusHype
Boosting Neural Machine Translation—0
Neural Machine Translation from Simplified Translations—0
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation PairsCode0
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices—0
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation—0
QCRI’s Machine Translation Systems for IWSLT’16—0
Kyoto-NMT: a Neural Machine Translation implementation in ChainerCode0
FBK’s Neural Machine Translation Systems for IWSLT 2016—0
A study of attention-based neural machine translation model on Indian languages—0
Faster and Lighter Phrase-based Machine Translation Baseline—0
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