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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 1721–1730 of 1773 papers

TitleStatusHype
Learning to Translate in Real-time with Neural Machine TranslationCode0
Learning to Use Future Information in Simultaneous TranslationCode0
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine TranslationCode0
Leveraging Auxiliary Domain Parallel Data in Intermediate Task Fine-tuning for Low-resource TranslationCode0
Towards User-Driven Neural Machine TranslationCode0
Training and Adapting Multilingual NMT for Less-resourced and Morphologically Rich LanguagesCode0
Speeding up Transformer Decoding via an Attention Refinement NetworkCode0
Leveraging Neural Machine Translation for Word AlignmentCode0
Training Deeper Neural Machine Translation Models with Transparent AttentionCode0
Zero-Shot Dual Machine TranslationCode0
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