A Computational Model for simulating Korean Visual Word Recognition
- Authors
- Park, Kinam; Jung, Soonyoung; Lee, Yoonhyoung; Lee, Changhwan; Lim, Heuiseok
- Issue Date
- 8월-2011
- Publisher
- INT INFORMATION INST
- Keywords
- Computatinal model; Visual word recognition; Lexical decision task
- Citation
- INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, v.14, no.8, pp.2669 - 2683
- Indexed
- SCIE
SCOPUS
- Journal Title
- INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL
- Volume
- 14
- Number
- 8
- Start Page
- 2669
- End Page
- 2683
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/111836
- ISSN
- 1343-4500
- 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.
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Collections - Graduate School > Department of Computer Science and Engineering > 1. Journal Articles
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