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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 1661–1670 of 1773 papers

TitleStatusHype
An Empirical Comparison of Domain Adaptation Methods 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
THUMT: An Open Source Toolkit for Neural Machine TranslationCode0
An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation—0
Towards Neural Phrase-based Machine TranslationCode0
Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality EstimationCode0
Attention-based Vocabulary Selection for NMT Decoding—0
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