DocumentCode
2931463
Title
A Hypothesis of Neural Network about Chinese Language Understanding
Author
Wang Qing-jiang ; Zhang Lin
Author_Institution
Dept. of Comput. Sci. & Technol., Ocean Univ. of China, Qingdao, China
fYear
2009
fDate
12-14 Oct. 2009
Firstpage
461
Lastpage
463
Abstract
To explain the human understanding and constructing of Chinese sentences, a hierarchical neural network hypothesis was proposed from the point of view of cognitive science, psychology, and neural physiology. The cognition of Chinese characters, words and sentences was accomplished by corresponding neuron regions, associated with which other neuron regions implied the meaning (or semantics) of these language objects. A series of activations between neuron regions can explain how human brain understands and constructs a sentence.
Keywords
cognition; natural language processing; neural nets; psychology; Chinese characters cognition; Chinese language; Chinese sentences cognition; Chinese words cognition; cognitive science view; hierarchical neural network hypothesis; neural physiology view; psychology view; Auditory system; Biological neural networks; Cognitive science; Humans; Logic; Natural languages; Neural networks; Neurons; Physiology; Psychology; Chinese language understanding; hierarchical hypothesis; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grid, 2009. SKG 2009. Fifth International Conference on
Conference_Location
Zhuhai
Print_ISBN
978-0-7695-3810-5
Type
conf
DOI
10.1109/SKG.2009.20
Filename
5370238
Link To Document