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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 1651–1660 of 1773 papers

TitleStatusHype
Speeding Up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary—0
An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation—0
Sequence-to-Dependency Neural Machine Translation—0
Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation—0
Visualizing and Understanding Neural Machine Translation—0
Chunk-based Decoder for Neural Machine Translation—0
Stronger Baselines for Trustable Results in Neural Machine TranslationCode0
Memory-augmented Chinese-Uyghur Neural Machine Translation—0
English-Japanese Neural Machine Translation with Encoder-Decoder-ReconstructorCode0
Encoder-Decoder Shift-Reduce Syntactic ParsingCode0
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