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
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;
Conference_Titel :
Semantics, Knowledge and Grid, 2009. SKG 2009. Fifth International Conference on
Conference_Location :
Zhuhai
Print_ISBN :
978-0-7695-3810-5
DOI :
10.1109/SKG.2009.20