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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 1621–1630 of 1773 papers

TitleStatusHype
Incorporating Global Visual Features into Attention-based Neural Machine Translation.—0
Instance Weighting for Neural Machine Translation Domain AdaptationCode0
Interactive Visualization and Manipulation of Attention-based Neural Machine Translation—0
Towards Decoding as Continuous Optimisation in Neural Machine Translation—0
Neural Machine Translation with Source Dependency Representation—0
Towards Compact and Fast Neural Machine Translation Using a Combined Method—0
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning—0
Look-ahead Attention for Generation in Neural Machine Translation—0
Automatically Generating Commit Messages from Diffs using Neural Machine Translation—0
Handling Homographs in Neural Machine Translation—0
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