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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 291–300 of 1773 papers

TitleStatusHype
An Augmented Translation Technique for low Resource language pair: Sanskrit to Hindi translation—0
Automatically Generating Commit Messages from Diffs using Neural Machine Translation—0
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language—0
An approach for mistranslation removal from popular dataset for Indic MT Task—0
A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation—0
An Analysis on Automated Metrics for Evaluating Japanese-English Chat Translation—0
AutoLoss: Learning Discrete Schedule for Alternate Optimization—0
An Analysis of Source-Side Grammatical Errors in NMT—0
A User-Study on Online Adaptation of Neural Machine Translation to Human Post-Edits—0
A User Study of the Incremental Learning in NMT—0
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