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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 571–580 of 1773 papers

TitleStatusHype
Neural Machine Translation in Low-Resource Setting: a Case Study in English-Marathi Pair—0
Make the Blind Translator See The World: A Novel Transfer Learning Solution for Multimodal Machine Translation—0
Investigating Softmax Tempering for Training Neural Machine Translation Models—0
HI-CMLM: Improve CMLM with Hybrid Decoder Input—0
Sentiment-based Candidate Selection for NMTCode0
Morphologically-Guided Segmentation For Translation of Agglutinative Low-Resource LanguagesCode0
A Comparison of Sentence-Weighting Techniques for NMT—0
A Comparison of Different NMT Approaches to Low-Resource Dutch-Albanian Machine Translation—0
Selecting the best data filtering method for NMT training—0
Product Review Translation using Phrase Replacement and Attention Guided Noise Augmentation—0
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