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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 1351–1360 of 1773 papers

TitleStatusHype
TMU Japanese-Chinese Unsupervised NMT System for WAT 2018 Translation Task—0
Improved Neural Machine Translation using Side Information—0
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation—0
A Hierarchical Neural Network for Sequence-to-Sequences Learning—0
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languagesCode0
Neural Machine Translation with Adequacy-Oriented Learning—0
Towards Neural Machine Translation for African LanguagesCode0
Data Selection with Feature Decay Algorithms Using an Approximated Target Side—0
Off-the-Shelf Unsupervised NMT—0
Transfer Learning in Multilingual Neural Machine Translation with Dynamic VocabularyCode1
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