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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 251–260 of 1773 papers

TitleStatusHype
An Effective Method using Phrase Mechanism in Neural Machine TranslationCode0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
Low-resource neural machine translation with morphological modelingCode0
Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on InuktitutCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
An Effective Approach to Unsupervised Machine TranslationCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
Automatic Evaluation and Analysis of Idioms in Neural Machine TranslationCode0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
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