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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 141–150 of 1773 papers

TitleStatusHype
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine TranslationCode1
Improving Massively Multilingual Neural Machine Translation and Zero-Shot TranslationCode1
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine TranslationCode1
Bi-SimCut: A Simple Strategy for Boosting Neural Machine TranslationCode1
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence ModelingCode1
IndicBART: A Pre-trained Model for Indic Natural Language GenerationCode1
A Survey of Deep Learning Techniques for Neural Machine TranslationCode1
Can Automatic Post-Editing Improve NMT?Code1
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMTCode1
Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine TranslationCode1
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