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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 951–960 of 1773 papers

TitleStatusHype
Tagged Back-translation Revisited: Why Does It Really Work?—0
Content Word Aware Neural Machine Translation—0
Translationese as a Language in ``Multilingual'' NMT—0
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation—0
A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine TranslationCode0
Modeling Word Formation in English--German Neural Machine Translation—0
Uncertainty-Aware Curriculum Learning for Neural Machine Translation—0
Modeling Baroque Two-Part Counterpoint with Neural Machine TranslationCode0
Learning Source Phrase Representations for Neural Machine Translation—0
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation—0
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