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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 461–470 of 1773 papers

TitleStatusHype
English-Japanese Neural Machine Translation with Encoder-Decoder-ReconstructorCode0
Stronger Baselines for Trustable Results in Neural Machine TranslationCode0
Enhancing Neural Machine Translation with Semantic UnitsCode0
DTMT: A Novel Deep Transition Architecture for Neural Machine TranslationCode0
A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine TranslationCode0
Dual Learning for Machine TranslationCode0
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared VocabulariesCode0
Character-level Chinese-English Translation through ASCII EncodingCode0
Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine TranslationCode0
Easy Guided Decoding in Providing Suggestions for Interactive Machine TranslationCode0
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