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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 491–500 of 1773 papers

TitleStatusHype
TransFool: An Adversarial Attack against Neural Machine Translation ModelsCode0
Efficient k-Nearest-Neighbor Machine Translation with Dynamic RetrievalCode0
Translate, then Parse! A strong baseline for Cross-Lingual AMR ParsingCode0
Translating Pro-Drop Languages with Reconstruction ModelsCode0
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
Enhancing Neural Machine Translation with Semantic UnitsCode0
Unsupervised Neural Machine TranslationCode0
Unsupervised Neural Machine Translation with SMT as Posterior RegularizationCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine TranslationCode0
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