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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

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Showing 1401–1410 of 1773 papers

TitleStatusHype
Neural Machine Translation for English-TamilCode0
RTM results for Predicting Translation Performance—0
Neural Machine Translation of Logographic Language Using Sub-character Level Information—0
The Benefit of Pseudo-Reference Translations in Quality Estimation of MT Output—0
Ensemble of Translators with Automatic Selection of the Best Translation -- the submission of FOKUS to the WMT 18 biomedical translation task --—0
TencentFmRD Neural Machine Translation for WMT18—0
Extracting In-domain Training Corpora for Neural Machine Translation Using Data Selection Methods—0
Findings of the WMT 2018 Shared Task on Automatic Post-Editing—0
Sheffield Submissions for WMT18 Multimodal Translation Shared Task—0
Hunter NMT System for WMT18 Biomedical Translation Task: Transfer Learning in Neural Machine Translation—0
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