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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 1071–1080 of 1773 papers

TitleStatusHype
Syntax-Directed Attention for Neural Machine Translation—0
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations—0
Syntax in End-to-End Natural Language Processing—0
Synthesizing Monolingual Data for Neural Machine Translation—0
Synthetic Pre-Training Tasks for Neural Machine Translation—0
Synthetic Source Language Augmentation for Colloquial Neural Machine Translation—0
SYSTRAN's Pure Neural Machine Translation Systems—0
Tagged Back-Translation—0
Tagged Back-translation Revisited: Why Does It Really Work?—0
Tag-less Back-Translation—0
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