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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 591–600 of 1773 papers

TitleStatusHype
Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network—0
An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation—0
Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency—0
Acquiring Knowledge from Pre-trained Model to Neural Machine Translation—0
Findings of the Third Workshop on Neural Generation and Translation—0
Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts—0
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey—0
Boosting Neural Machine Translation from Finnish to Northern Sámi with Rule-Based Backtranslation—0
Does NMT make a difference when post-editing closely related languages? The case of Spanish-Catalan—0
Boosting Neural Machine Translation—0
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