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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 1331–1340 of 1773 papers

TitleStatusHype
Neural Speech Translation at AppTek—0
Neural System Combination for Machine Translation—0
Neural versus Phrase-Based Machine Translation Quality: a Case Study—0
Neural vs. Phrase-Based Machine Translation in a Multi-Domain Scenario—0
N-gram Prediction and Word Difference Representations for Language Modeling—0
NHK’s Lexically-Constrained Neural Machine Translation at WAT 2021—0
NICT-5’s Submission To WAT 2021: MBART Pre-training And In-Domain Fine Tuning For Indic Languages—0
NICT's Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task—0
NICT Self-Training Approach to Neural Machine Translation at NMT-2018—0
NICT's Machine Translation Systems for the WMT19 Similar Language Translation Task—0
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