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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 1701–1710 of 1773 papers

TitleStatusHype
OpenNMT: Open-Source Toolkit for Neural Machine TranslationCode0
Neural Machine Translation on Scarce-Resource Condition: A case-study on Persian-English—0
Joint Prediction of Word Alignment with Alignment Types—0
Fast Domain Adaptation for Neural Machine Translation—0
Domain specialization: a post-training domain adaptation for Neural Machine Translation—0
Neural Machine Translation from Simplified Translations—0
Domain Control for Neural Machine Translation—0
Boosting Neural Machine Translation—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
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