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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 181–190 of 1773 papers

TitleStatusHype
ANVITA Machine Translation System for WAT 2021 MultiIndicMT Shared Task—0
Adversarial Neural Machine Translation—0
Adversarial Grammatical Error Correction—0
Active Learning Approaches to Enhancing Neural Machine Translation—0
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation—0
An Iterative Knowledge Transfer NMT System for WMT20 News Translation Task—0
Acquiring Knowledge from Pre-trained Model to Neural Machine Translation—0
An In-depth Walkthrough on Evolution of Neural Machine Translation—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
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