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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 611–620 of 1773 papers

TitleStatusHype
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation—0
A neural interlingua for multilingual machine translation—0
Document Graph for Neural Machine Translation—0
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation—0
Diving Deep into Context-Aware Neural Machine Translation—0
Diversity by Phonetics and its Application in Neural Machine Translation—0
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation—0
A Neural Approach to KGQA via SPARQL Silhouette Generation—0
A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences—0
Distinguishing Translations by Human, NMT, and ChatGPT: A Linguistic and Statistical Approach—0
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