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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 841–850 of 1773 papers

TitleStatusHype
Investigating Low-resource Machine Translation for English-to-Tamil—0
BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis—0
NICT‘s Submission To WAT 2020: How Effective Are Simple Many-To-Many Neural Machine Translation Models?—0
An Effective Optimization Method for Neural Machine Translation: The Case of English-Persian Bilingually Low-Resource Scenario—0
NLPRL Odia-English: Indic Language Neural Machine Translation System—0
Improving NMT via Filtered Back Translation—0
Neural Machine Translation for translating into Croatian and Serbian—0
Neural Machine Translation Models with Back-Translation for the Extremely Low-Resource Indigenous Language BribriCode0
Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation—0
Identifying Complaints from Product Reviews: A Case Study on HindiCode0
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