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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
CURE: Code-Aware Neural Machine Translation for Automatic Program RepairCode1
Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine TranslationCode1
Data Diversification: A Simple Strategy For Neural Machine TranslationCode1
Data Rejuvenation: Exploiting Inactive Training Examples 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 Multi-Modal Learning of Editing Source CodeCode1
On the Complementarity between Pre-Training and Back-Translation for Neural Machine TranslationCode1
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemCode1
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