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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 1371–1380 of 1773 papers

TitleStatusHype
Neural Machine Translation with Adequacy-Oriented Learning—0
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languagesCode0
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
Identifying and Controlling Important Neurons in Neural Machine Translation—0
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation—0
Improving the Robustness of Speech Translation—0
Multilingual NMT with a language-independent attention bridgeCode0
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages—0
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