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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 261–270 of 1773 papers

TitleStatusHype
Exploring Paracrawl for Document-level Neural Machine TranslationCode0
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
AutoLoss: Learning Discrete Schedules for Alternate OptimizationCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset RepositoryCode0
Augmenting Neural Machine Translation with Knowledge GraphsCode0
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