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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 1741–1750 of 1773 papers

TitleStatusHype
Bilingual Methods for Adaptive Training Data Selection for Machine Translation—0
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine TranslationCode0
Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation—0
One Sentence One Model for Neural Machine Translation—0
Factored Neural Machine Translation—0
Neural Machine Translation with Supervised Attention—0
Multimodal Attention for Neural Machine Translation—0
Context Gates for Neural Machine TranslationCode0
Neural versus Phrase-Based Machine Translation Quality: a Case Study—0
Temporal Attention Model for Neural Machine Translation—0
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