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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 1081–1090 of 1773 papers

TitleStatusHype
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation—0
Modeling Future Cost for Neural Machine Translation—0
Echo State Neural Machine Translation—0
MuST-Cinema: a Speech-to-Subtitles corpus—0
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue—0
Guiding attention in Sequence-to-sequence models for Dialogue Act predictionCode0
Translating Web Search Queries into Natural Language Questions—0
Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation—0
Bi-Decoder Augmented Network for Neural Machine Translation—0
Learning to Multi-Task Learn for Better Neural Machine Translation—0
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