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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 891900 of 1773 papers

TitleStatusHype
Linguistically Motivated Subwords for English-Tamil Translation: University of Groningen’s Submission to WMT-20200
INMIGRA3: building a case for NGOs and NMT0
Sparse and Decorrelated Representations for Stable Zero-shot NMT0
CSP:Code-Switching Pre-training for Neural Machine Translation0
CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training0
Natural Language Response Generation from SQL with Generalization and Back-translation0
NMT based Similar Language Translation for Hindi - Marathi0
The ADAPT System Description for the WMT20 News Translation Task0
The ADAPT’s Submissions to the WMT20 Biomedical Translation Task0
Findings of the WMT 2020 Shared Task on Automatic Post-Editing0
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