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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 11–20 of 1773 papers

TitleStatusHype
SOTASTREAM: A Streaming Approach to Machine Translation TrainingCode1
MobileNMT: Enabling Translation in 15MB and 30msCode1
Songs Across Borders: Singable and Controllable Neural Lyric TranslationCode1
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine TranslationCode1
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine TranslationCode1
Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency RegularizationCode1
Simple and Scalable Nearest Neighbor Machine TranslationCode1
Controlling Styles in Neural Machine Translation with Activation PromptCode1
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine TranslationCode1
Neural Machine Translation with Contrastive Translation MemoriesCode1
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