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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

Showing 911920 of 1773 papers

TitleStatusHype
Sockeye 2: A Toolkit for Neural Machine Translation0
Active Learning Approaches to Enhancing Neural Machine Translation0
Machine Translation Quality: A comparative evaluation of SMT, NMT and tailored-NMT outputs0
HW-TSC’s Participation at WMT 2020 Automatic Post Editing Shared Task0
Vocabulary Adaptation for Domain Adaptation in Neural Machine TranslationCode0
An Iterative Knowledge Transfer NMT System for WMT20 News Translation Task0
Automatic Translation for Multiple NLP tasks: a Multi-task Approach to Machine-oriented NMT Adaptation0
NUIG-Panlingua-KMI Hindi-Marathi MT Systems for Similar Language Translation Task @ WMT 20200
Neural Machine Translation between similar South-Slavic languages0
Cross-Lingual Transformers for Neural Automatic Post-Editing0
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