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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 431–440 of 1773 papers

TitleStatusHype
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
Recurrent Attention for Neural Machine TranslationCode0
Enhanced Neural Machine Translation by Learning from DraftCode0
Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality EstimationCode0
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
Chunk-Based Bi-Scale Decoder for Neural Machine TranslationCode0
Replicable Benchmarking of Neural Machine Translation (NMT) on Low-Resource Local Languages in IndonesiaCode0
ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translationCode0
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared VocabulariesCode0
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical TranslationCode0
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