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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

Showing 671680 of 1773 papers

TitleStatusHype
Investigating Active Learning in Interactive Neural Machine Translation0
Morphologically-Guided Segmentation For Translation of Agglutinative Low-Resource LanguagesCode0
Sentiment-based Candidate Selection for NMTCode0
ANVITA Machine Translation System for WAT 2021 MultiIndicMT Shared Task0
Breaking the Corpus Bottleneck for Context-Aware Neural Machine Translation with Cross-Task Pre-training0
Studying The Impact Of Document-level Context On Simultaneous Neural Machine Translation0
The USYD-JD Speech Translation System for IWSLT20210
Incorporating translation quality estimation into Chinese-Korean neural machine translation0
Neural Machine Translation in Low-Resource Setting: a Case Study in English-Marathi Pair0
Product Review Translation: Parallel Corpus Creation and Robustness towards User-generated Noisy Text0
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