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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 1681–1690 of 1773 papers

TitleStatusHype
Towards String-to-Tree Neural Machine Translation—0
Neural Machine Translation Model with a Large Vocabulary Selected by Branching Entropy—0
Translation of Patent Sentences with a Large Vocabulary of Technical Terms Using Neural Machine Translation—0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
Unfolding and Shrinking Neural Machine Translation Ensembles—0
Building a Neural Machine Translation System Using Only Synthetic Parallel Data—0
Neural vs. Phrase-Based Machine Translation in a Multi-Domain Scenario—0
Practical Neural Machine Translation—0
Human Evaluation of Multi-modal Neural Machine Translation: A Case-Study on E-Commerce Listing Titles—0
Neural Automatic Post-Editing Using Prior Alignment and Reranking—0
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