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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 1291–1300 of 1773 papers

TitleStatusHype
Neural Hidden Markov Model for Machine Translation—0
Neural Lattice Search for Domain Adaptation in Machine Translation—0
Neural Machine Translation Advised by Statistical Machine Translation—0
Neural Machine Translation: A Review of Methods, Resources, and Tools—0
Neural Machine Translation: Basics, Practical Aspects and Recent Trends—0
Neural Machine Translation between Myanmar (Burmese) and Rakhine (Arakanese)—0
Neural Machine Translation between similar South-Slavic languages—0
Neural Machine Translation by Generating Multiple Linguistic Factors—0
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices—0
Neural Machine Translation Decoding with Terminology Constraints—0
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