A Computational Model for simulating Korean Visual Word Recognition

Title
A Computational Model for simulating Korean Visual Word Recognition
Author(s)
이윤형
Keywords
INTERNAL LEXICON; REPRESENTATION; FREQUENCY
Issue Date
201108
Publisher
INT INFORMATION INST
Citation
INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, v.14, no.8, pp.2669 - 2683
Abstract
We propose the connectionist model of visual word recognition which reflects the theoretically presented linguistic processing mechanisms of Koreans' visual word processing. In applying the connectionist model, sets of orthographic units, inter-level hidden units and semantic units, were constructed. During the training phase, the weights on the connections between the units were modified using the back-propagation learning algorithm. To evaluate the model, we also conducted behavioral experiments to compare the results of the model performances with human performances. The results show that the proposed model closely simulates Korean visual word processing characteristics such as the lexical status effect, the word frequency effect, and the word similarity effect.
URI
http://hdl.handle.net/YU.REPOSITORY/24752
ISSN
1343-4500
Appears in Collections:
문과대학 > 심리학과 > Articles
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