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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 451–460 of 1773 papers

TitleStatusHype
Communication-Efficient Federated Learning for Neural Machine Translation—0
Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production—0
EduMT: Developing Machine Translation System for Educational Content in Indian Languages—0
Named Entity-Factored Transformer for Proper Noun Translation—0
Are Ellipses Important for Machine Translation?—0
Improvement in Machine Translation with Generative Adversarial Networks—0
Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network—0
IndicBART: A Pre-trained Model for Indic Natural Language Generation—0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages—0
What Works and Doesn't Work, A Deep Decoder for Neural Machine Translation—0
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