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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 1221–1230 of 1773 papers

TitleStatusHype
SOURCE: SOURce-Conditional Elmo-style Model for Machine Translation Quality Estimation—0
NICT's Machine Translation Systems for the WMT19 Similar Language Translation Task—0
Effort-Aware Neural Automatic Post-Editing—0
The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine TranslationCode1
Neural Machine Translation: Hindi-Nepali—0
Improving Robustness of Neural Machine Translation with Multi-task LearningCode0
Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019—0
Terminology-Aware Segmentation and Domain Feature for the WMT19 Biomedical Translation Task—0
Parallel Corpus Filtering Based on Fuzzy String Matching—0
Tilde's Machine Translation Systems for WMT 2019—0
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