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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 1391–1400 of 1773 papers

TitleStatusHype
Multi-paraphrase Augmentation to Leverage Neural Caption Translation—0
A Pronoun Test Suite Evaluation of the English--German MT Systems at WMT 2018—0
Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments—0
Multi-encoder Transformer Network for Automatic Post-Editing—0
CUNI Transformer Neural MT System for WMT18—0
Discourse-Related Language Contrasts in English-Croatian Human and Machine Translation—0
Multi-source transformer with combined losses for automatic post editing—0
Tilde's Machine Translation Systems for WMT 2018Code0
The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018—0
A Transformer-Based Multi-Source Automatic Post-Editing System—0
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