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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 381–390 of 1773 papers

TitleStatusHype
Machine Translation for Livonian: Catering to 20 Speakers—0
Translation Techies @DravidianLangTech-ACL2022-Machine Translation in Dravidian Languages—0
Prediction Difference Regularization against Perturbation for Neural Machine Translation—0
Measuring and Mitigating Name Biases in Neural Machine Translation—0
Using Neural Machine Translation Methods for Sign Language TranslationCode1
Producing Standard German Subtitles for Swiss German TV Content—0
BPE beyond Word Boundary: How NOT to use Multi Word Expressions in Neural Machine TranslationCode0
Locality-Sensitive Hashing for Long Context Neural Machine Translation—0
Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine TranslationCode1
On Target Representation in Continuous-output Neural Machine Translation—0
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