A Hypothesis of Neural Network about Chinese Language Understanding
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.
Chinese language understanding neural network hierarchical hypothesis
WANG Qing-jiang ZHANG Lin
Dept. of Computer Science and Technology Ocean University of China Qingdao, China The Modern Education Technology Center Henan Institute of Finance and Economics Zhengzhou, China
国际会议
Fifth International Conference on Semantics,Knowledge and Grid(第五届语义、知识与网格国际会议 SKG 2009)
珠海
英文
461-463
2009-10-12（万方平台首次上网日期，不代表论文的发表时间）