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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 601610 of 1773 papers

TitleStatusHype
CUNI Systems in WMT21: Revisiting Backtranslation Techniques for English-Czech NMT0
Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information0
Adaptive Bridge between Training and Inference for Dialogue Generation0
The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach0
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?0
Illinois Japanese English News Translation for WMT 20210
FJWU Participation for the WMT21 Biomedical Translation Task0
NITK-UoH: Tamil-Telugu Machine Translation Systems for the WMT21 Similar Language Translation Task0
Recurrent Attention for Neural Machine TranslationCode0
Syntax in End-to-End Natural Language Processing0
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