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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 1041–1050 of 1773 papers

TitleStatusHype
Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation—0
Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian PidginCode0
Towards Neural Machine Translation for Edoid Languages—0
Capturing document context inside sentence-level neural machine translation models with self-training—0
Evaluating Low-Resource Machine Translation between Chinese and Vietnamese with Back-Translation—0
Modeling Future Cost for Neural Machine Translation—0
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-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
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