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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 1671–1680 of 1773 papers

TitleStatusHype
Deep Neural Machine Translation with Linear Associative Unit—0
A GRU-Gated Attention Model for Neural Machine Translation—0
Neural System Combination for Machine Translation—0
Adversarial Neural Machine Translation—0
An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification—0
Sparse Communication for Distributed Gradient DescentCode1
Towards String-to-Tree Neural Machine Translation—0
Translation of Patent Sentences with a Large Vocabulary of Technical Terms Using Neural Machine Translation—0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
Neural Machine Translation Model with a Large Vocabulary Selected by Branching Entropy—0
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