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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 801810 of 1773 papers

TitleStatusHype
Corpora for Document-Level Neural Machine Translation0
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation0
AutoLoss: Learning Discrete Schedule for Alternate Optimization0
Investigating Failures of Automatic Translation in the Case of Unambiguous Gender0
An Analysis on Automated Metrics for Evaluating Japanese-English Chat Translation0
Investigating Multilingual NMT Representations at Scale0
Illinois Japanese English News Translation for WMT 20210
Investigating Terminology Translation in Statistical and Neural Machine Translation: A Case Study on English-to-Hindi and Hindi-to-English0
Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments0
IITP-MT System for Gujarati-English News Translation Task at WMT 20190
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