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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 651–660 of 1773 papers

TitleStatusHype
Context-Adaptive Document-Level Neural Machine Translation—0
A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation—0
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning—0
GraphSeq2Seq: Graph-Sequence-to-Sequence for Neural Machine Translation—0
Code Translation with Compiler Representations—0
Exploiting Monolingual Data at Scale for Neural Machine Translation—0
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation—0
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue—0
Context-Aware Smoothing for Neural Machine Translation—0
Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning—0
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