Abstract
In this paper, we investigate whether the word frequency effect and the word similarity effect could be applied to Korean lexical decision task (henceforth, LDT). Also we propose a computational model of Korean LDT and present comparison results between human and computational model on Korean LDT. We found that the word frequency effect and the similarity effect in Korean LDT were language general phenomena in both the behavioral experiment and the proposed computational simulation.
This study has been supported by the Korea Research Foundation(2004-074-HM0004).
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Kwon, Y., Park, K., Lim, H., Nam, K., Jung, S. (2006). Word Frequency Effect and Word Similarity Effect in Korean Lexical Decision Task and Their Computational Model. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893295_38
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DOI: https://doi.org/10.1007/11893295_38
Publisher Name: Springer, Berlin, Heidelberg
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