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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 511–520 of 1773 papers

TitleStatusHype
BPE beyond Word Boundary: How NOT to use Multi Word Expressions in Neural Machine TranslationCode0
What Works and Doesn’t Work, A Deep Decoder for Neural Machine Translation—0
Locality-Sensitive Hashing for Long Context Neural Machine Translation—0
Measuring and Mitigating Name Biases in Neural Machine Translation—0
Translation Techies @DravidianLangTech-ACL2022-Machine Translation in Dravidian Languages—0
On Target Representation in Continuous-output Neural Machine Translation—0
Prediction Difference Regularization against Perturbation for Neural Machine Translation—0
Machine Translation for Livonian: Catering to 20 Speakers—0
Producing Standard German Subtitles for Swiss German TV Content—0
Flow-Adapter Architecture for Unsupervised Machine Translation—0
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