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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 111–120 of 1773 papers

TitleStatusHype
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual InformationCode1
Non-Parametric Unsupervised Domain Adaptation for Neural Machine TranslationCode1
Norm-Based Curriculum Learning for Neural Machine TranslationCode1
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine TranslationCode1
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
On Long-Tailed Phenomena in Neural Machine TranslationCode1
On Multi-Modal Learning of Editing Source CodeCode1
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemCode1
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