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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 12311240 of 1773 papers

TitleStatusHype
NICT's Supervised Neural Machine Translation Systems for the WMT19 News Translation Task0
A Test Suite and Manual Evaluation of Document-Level NMT at WMT190
IITP-MT System for Gujarati-English News Translation Task at WMT 20190
LIUM's Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs0
The NiuTrans Machine Translation Systems for WMT190
DFKI-NMT Submission to the WMT19 News Translation Task0
Incorporating Source Syntax into Transformer-Based Neural Machine Translation0
JU-Saarland Submission to the WMT2019 English--Gujarati Translation Shared Task0
Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation0
The LAIX Systems in the BEA-2019 GEC Shared Task0
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