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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 841850 of 1773 papers

TitleStatusHype
Knowledge Graphs for Multilingual Language Translation and Generation0
KNPTC: Knowledge and Neural Machine Translation Powered Chinese Pinyin Typo Correction0
KNU-HYUNDAI's NMT system for Scientific Paper and Patent Tasks onWAT 20190
Korean-to-Japanese Neural Machine Translation System using Hanja Information0
Controlling Utterance Length in NMT-based Word Segmentation with Attention0
Kyoto University MT System Description for IWSLT 20170
IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages0
Idiap NMT System for WAT 2019 Multimodal Translation Task0
Controlling the Output Length of Neural Machine Translation0
A User Study of the Incremental Learning in NMT0
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