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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 1411–1420 of 1773 papers

TitleStatusHype
Bidirectional Generative Adversarial Networks for Neural Machine Translation—0
Addressing Troublesome Words in Neural Machine Translation—0
Multi-Domain Neural Machine Translation with Word-Level Domain Context DiscriminationCode0
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation—0
Encoding Gated Translation Memory into Neural Machine Translation—0
Adaptive Multi-pass Decoder for Neural Machine Translation—0
Phrase-Based \& Neural Unsupervised Machine Translation—0
GraphSeq2Seq: Graph-Sequence-to-Sequence for Neural Machine Translation—0
Hallucinations in Neural Machine Translation—0
AutoLoss: Learning Discrete Schedule for Alternate Optimization—0
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