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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 561–570 of 1773 papers

TitleStatusHype
Joint-training on Symbiosis Networks for Deep Nueral Machine Translation models—0
Spiral Language Modeling—0
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource LanguagesCode0
Amortized Noisy Channel Neural Machine Translation—0
Improving Both Domain Robustness and Domain Adaptability in Machine TranslationCode0
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
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