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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 691–700 of 1773 papers

TitleStatusHype
TMU NMT System with Japanese BART for the Patent task of WAT 2021—0
A Comparison of Sentence-Weighting Techniques for NMT—0
HI-CMLM: Improve CMLM with Hybrid Decoder Input—0
NHK’s Lexically-Constrained Neural Machine Translation at WAT 2021—0
Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation—0
IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages—0
The University of Edinburgh’s Submission to the IWSLT21 Simultaneous Translation Task—0
A Comparison of Different NMT Approaches to Low-Resource Dutch-Albanian Machine Translation—0
Product Review Translation: Parallel Corpus Creation and Robustness towards User-generated Noisy Text—0
Make the Blind Translator See The World: A Novel Transfer Learning Solution for Multimodal Machine Translation—0
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