DocumentCode :
3777843
Title :
Deep neural network language model research and application overview
Author :
Fu-Lian Yin; Xing-Yi Pan; Xiao-Wei Liu; Hui-Xin Liu
Author_Institution :
Department of Information and Engineering, Faculty of Science and Technology, Communication University of China, Beijing, 100024, China
fYear :
2015
Firstpage :
55
Lastpage :
60
Abstract :
Research of the neural network language model in NLP is reviewed. In this paper, the neural network language models are classified into early shallow language models and deep neural network models based on deep learning. This paper emphatically introduces progress of the deep neural network language models, and summarizes the status of deep neural network research´s development. Finally, the existing problems and deficiencies are put forward.
Keywords :
"Neural networks","Training","Computational modeling","Machine learning","Syntactics","Semantics","Analytical models"
Publisher :
ieee
Conference_Titel :
Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2015 12th International Computer Conference on
Type :
conf
DOI :
10.1109/ICCWAMTIP.2015.7493906
Filename :
7493906
Link To Document :
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