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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 1031–1040 of 1773 papers

TitleStatusHype
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network—0
Similar Language Translation for Catalan, Portuguese and Spanish Using Marian NMT—0
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation—0
Simple, Scalable Adaptation for Neural Machine Translation—0
Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models—0
SimulSpeech: End-to-End Simultaneous Speech to Text Translation—0
Simultaneous Multi-Pivot Neural Machine Translation—0
SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models—0
SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task—0
SJTU-NICT’s Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task—0
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