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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 1271–1280 of 1773 papers

TitleStatusHype
Findings of the Third Workshop on Neural Generation and Translation—0
Enhancing AI-based Generation of Software Exploits with Contextual Information—0
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment—0
A Character-Aware Encoder for Neural Machine Translation—0
Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian—0
A Compact and Language-Sensitive Multilingual Translation Method—0
A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators—0
A Comparison of Data Filtering Methods for Neural Machine Translation—0
A Comparison of Different NMT Approaches to Low-Resource Dutch-Albanian Machine Translation—0
A Comparison of Sentence-Weighting Techniques for NMT—0
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