• 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