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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 481490 of 1773 papers

TitleStatusHype
eTranslation’s Submissions to the WMT 2021 News Translation Task0
CUNI Systems in WMT21: Revisiting Backtranslation Techniques for English-Czech NMT0
Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information0
FJWU Participation for the WMT21 Biomedical Translation Task0
NITK-UoH: Tamil-Telugu Machine Translation Systems for the WMT21 Similar Language Translation Task0
Improving Machine Translation of Rare and Unseen Word Senses0
Adam Mickiewicz University’s English-Hausa Submissions to the WMT 2021 News Translation Task0
Syntax in End-to-End Natural Language Processing0
TransIns: Document Translation with Markup ReinsertionCode0
Two Heads are Better than One? Verification of Ensemble Effect in Neural Machine Translation0
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