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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 1281–1290 of 1773 papers

TitleStatusHype
A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation—0
A Comprehensive Evaluation of Neural SPARQL Query Generation from Natural Language Questions—0
A Comprehensive Survey of Grammar Error Correction—0
A Comprehensive Survey of Multilingual Neural Machine Translation—0
A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences—0
Acquiring Knowledge from Pre-trained Model to Neural Machine Translation—0
Active Learning Approaches to Enhancing Neural Machine Translation—0
Adabot: Fault-Tolerant Java Decompiler—0
Adam Mickiewicz University’s English-Hausa Submissions to the WMT 2021 News Translation Task—0
AdapNMT : Neural Machine Translation with Technical Domain Adaptation for Indic Languages—0
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