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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
Continuous Language Generative FlowCode1
Controlling Styles in Neural Machine Translation with Activation PromptCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine TranslationCode1
Document-Level Neural Machine Translation with Hierarchical Attention NetworksCode1
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine TranslationCode1
A Survey of Deep Learning Techniques for Neural Machine TranslationCode1
Emergent Communication Pretraining for Few-Shot Machine TranslationCode1
Evaluating Multiway Multilingual NMT in the Turkic LanguagesCode1
Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine TranslationCode1
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