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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 1181–1190 of 1773 papers

TitleStatusHype
Translation Memory Guided Neural Machine Translation—0
Translation of Patent Sentences with a Large Vocabulary of Technical Terms Using Neural Machine Translation—0
Translation Techies @DravidianLangTech-ACL2022-Machine Translation in Dravidian Languages—0
Translation vs Post-editing of NMT Output: Insights from the English-Greek language pair—0
TransSlowDown: Efficiency Attacks on Neural Machine Translation Systems—0
Triangular Architecture for Rare Language Translation—0
Turning NMT Research into Commercial Products—0
Two Heads are Better than One? Verification of Ensemble Effect in Neural Machine Translation—0
UCSYNLP-Lab Machine Translation Systems for WAT 2019—0
UdS Submission for the WMT 19 Automatic Post-Editing Task—0
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