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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 691–700 of 1773 papers

TitleStatusHype
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation—0
Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Study—0
Curriculum Learning and Minibatch Bucketing in Neural Machine Translation—0
Current Shortcomings of Machine Translation in Spanish and Bulgarian Vis-à-vis English—0
Benchmarking Azerbaijani Neural Machine Translation—0
An Effective Optimization Method for Neural Machine Translation: The Case of English-Persian Bilingually Low-Resource Scenario—0
CUNI Transformer Neural MT System for WMT18—0
Being Generous with Sub-Words towards Small NMT Children—0
CUNI Systems in WMT21: Revisiting Backtranslation Techniques for English-Czech NMT—0
CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction—0
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