Abstract
Perceptual learning is the improvement in performance on a variety of simple sensory tasks through practice. Based on the perceptual model, with the lateral interaction applied to the neurons of the middle layer, a neural network is developed to simulate the transition of perceptual mode from global perception to local perception in the process of Chinese characters learning. Using some Chinese characters with the same structure to train the network, the components and radicals of the Chinese characters can be extracted through the local perceptual mode. The perceptual learning process under the damage of neural connections is also simulated, and the result are coincident with the somatosensory cortex changes experiment on owl monkeys. It is a self-organization process, in which the lateral interaction among the neurons are the core mechanism.
The paper was supported by MOE Youth Fund Project of Humanities and Social Sciences (Project No.11YJC840006) and Fundamental Research Funds for the Central Universities (Fund number: 2013YB76).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Tsodyks, M., Gilbert, C.: Neural networks and perceptual learning. Nature 14, 775–781 (2004)
Jiang, X., Zhao, G.: A Survey on the Strategies for Learning Chinese Characters among CSL Beginners. Language Teaching and Linguistic Studies 4, 10–17 (2001)
Feng, L., Lu, H., Xu, C.: The Role of Information about Radical Position in Processing Chinese Characters by Foreign Students. Language Teaching and Linguistic Studies 3, 66–72 (2005)
Chen, J., Liu, Y., Chen, Q., Chen, L., Fang, F.: A Neural Network Model for Chinese Character Perception. In: The 5th International Conference on Natural Computation, pp. 319–323 (2009)
Kohonen, T.: The Self-Organizing Map, 2nd edn. Springer (1997)
Erwin, E., Obermayer, K., Schulten, K.: Models of Orientation and Ocular Dominance Columns in the Visual Cortex: A Critical Comparison. Neural Comp. 7, 425–468 (1995)
Xing, H., Shu, H., Li, P.: A self-organizing connectionist model of character acquisition in Chinese. In: Proceedings of the Twenty-fourth Annual Conference of the Cognitive Science Society. Lawrence Erlbaum, Mahwah (2002)
Merzenich, M.M., Nelson, R.J., Stryker, M.P., Cynader, M.S., Schoppmann, A., Zook, J.M.: Somatosensory cortical map changes following digit amputation in adult monkeys. Journal of Comparative Neurology 224, 591–605 (1984)
Lee, D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401, 788–791 (1999)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Chen, J., Liu, Y., Li, X., Chen, L. (2014). Perceptual Learning Model on Recognizing Chinese Characters. In: Zeng, Z., Li, Y., King, I. (eds) Advances in Neural Networks – ISNN 2014. ISNN 2014. Lecture Notes in Computer Science(), vol 8866. Springer, Cham. https://doi.org/10.1007/978-3-319-12436-0_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-12436-0_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12435-3
Online ISBN: 978-3-319-12436-0
eBook Packages: Computer ScienceComputer Science (R0)