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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 301–310 of 1773 papers

TitleStatusHype
Integrating Pre-trained Language Model into Neural Machine Translation—0
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific RewardsCode0
Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing—0
Code-Switching with Word Senses for Pretraining in Neural Machine Translation—0
On Synthetic Data for Back TranslationCode0
Ask Language Model to Clean Your Noisy Translation Data—0
Direct Neural Machine Translation with Task-level Mixture of Experts models—0
Enhancing Neural Machine Translation with Semantic UnitsCode0
Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation PerformanceCode0
Towards Example-Based NMT with Multi-Levenshtein TransformersCode0
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