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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

Showing 17511760 of 1773 papers

TitleStatusHype
Neural Name Translation Improves Neural Machine Translation0
Guided Alignment Training for Topic-Aware Neural Machine TranslationCode0
Compression of Neural Machine Translation Models via PruningCode0
Sequence-Level Knowledge DistillationCode1
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT160
Semi-Supervised Learning for Neural Machine Translation0
Deep Recurrent Models with Fast-Forward Connections for Neural Machine TranslationCode0
Memory-enhanced Decoder for Neural Machine Translation0
Incorporating Discrete Translation Lexicons into Neural Machine TranslationCode0
The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMTCode0
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