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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 1141–1150 of 1773 papers

TitleStatusHype
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation—0
Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation—0
Learning Distributional Token Representations from Visual Features—0
Learning Domain Specific Language Models for Automatic Speech Recognition through Machine Translation—0
Learning Efficient Lexically-Constrained Neural Machine Translation with External Memory—0
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora—0
Learning from Chunk-based Feedback in Neural Machine Translation—0
Learning Homographic Disambiguation Representation for Neural Machine Translation—0
Learning How to Translate North Korean through South Korean—0
Learning Source Phrase Representations for Neural Machine Translation—0
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