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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 351–360 of 1773 papers

TitleStatusHype
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel DataCode0
Combining Advanced Methods in Japanese-Vietnamese Neural Machine TranslationCode0
Converting the Point of View of Messages Spoken to Virtual AssistantsCode0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
Learning to translate by learning to communicateCode0
Learning to Translate in Real-time with Neural Machine TranslationCode0
AutoLoss: Learning Discrete Schedules for Alternate OptimizationCode0
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine TranslationCode0
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case StudyCode0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
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