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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 1761–1770 of 1773 papers

TitleStatusHype
Incorporating Discrete Translation Lexicons into Neural Machine TranslationCode0
Memory-enhanced Decoder for Neural Machine Translation—0
The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMTCode0
Syntactically Guided Neural Machine Translation—0
Coverage Embedding Models for Neural Machine Translation—0
Transfer Learning for Low-Resource Neural Machine TranslationCode0
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character ModelsCode0
Tree-to-Sequence Attentional Neural Machine TranslationCode0
Modeling Coverage for Neural Machine TranslationCode0
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model—0
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