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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 751–760 of 1773 papers

TitleStatusHype
Rewriter-Evaluator Architecture for Neural Machine Translation—0
Exploring Pair-Wise NMT for Indian Languages—0
Document Graph for Neural Machine Translation—0
Reciprocal Supervised Learning Improves Neural Machine TranslationCode0
An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil—0
Korean-to-Japanese Neural Machine Translation System using Hanja Information—0
BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis—0
An Effective Optimization Method for Neural Machine Translation: The Case of English-Persian Bilingually Low-Resource Scenario—0
Improving NMT via Filtered Back Translation—0
NLPRL Odia-English: Indic Language Neural Machine Translation System—0
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