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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 981–990 of 1773 papers

TitleStatusHype
On Exposure Bias, Hallucination and Domain Shift in Neural Machine TranslationCode1
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine TranslationCode1
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual InformationCode1
Using Context in Neural Machine Translation Training Objectives—0
Evaluating Explanation Methods for Neural Machine Translation—0
On the Inference Calibration of Neural Machine TranslationCode1
A Comprehensive Survey of Grammar Error Correction—0
Mirror-Generative Neural Machine Translation—0
Neural Machine Translation with Universal Visual RepresentationCode1
Much Ado About Nothing -- Identification of Zero Copulas in Hungarian Using an NMT Model—0
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