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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 1121–1130 of 1773 papers

TitleStatusHype
Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity—0
Knowledge Graphs for Multilingual Language Translation and Generation—0
KNPTC: Knowledge and Neural Machine Translation Powered Chinese Pinyin Typo Correction—0
KNU-HYUNDAI's NMT system for Scientific Paper and Patent Tasks onWAT 2019—0
Korean-to-Japanese Neural Machine Translation System using Hanja Information—0
Kyoto University MT System Description for IWSLT 2017—0
Language-aware Interlingua for Multilingual Neural Machine Translation—0
Language-Independent Representor for Neural Machine Translation—0
Language Model-Driven Unsupervised Neural Machine Translation—0
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT—0
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