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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 1751–1760 of 1773 papers

TitleStatusHype
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
Neural Name Translation Improves Neural Machine Translation—0
Guided Alignment Training for Topic-Aware Neural Machine TranslationCode0
Compression of Neural Machine Translation Models via PruningCode0
Semi-Supervised Learning for Neural Machine Translation—0
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16—0
Deep Recurrent Models with Fast-Forward Connections for Neural Machine TranslationCode0
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