A computational model of Korean mental lexicon

Heui Seok Lim, Kichun Nam, Yumi Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper proposes a computational model of Korean mental lexicon which can explain very basic findings that are observed using the visual Korean lexical decision task. The model is Frequency-based trie which is based on the trie data structure. Alphabets in each node of the Frequency-based trie is sorted in descending order by by their frequency in the corpus. It is the main idea which enables the model to simulate the Korean mental lexicon. There will be evaluations and comparison results with human data: how well the model simulates Korean word processing and how much the simulated results coincide with that of human processing. We also discuss both the strength and weakness of the computational model.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science
EditorsO. Gervasi, M.L. Gavrilova, V. Kumar, A. Lagana, H.P. Lee, Y. Mun, D. Taniar, C.J.K. Tan
Pages1129-1134
Number of pages6
Volume3480
EditionI
Publication statusPublished - 2005
Externally publishedYes
EventInternational Conference on Computational Science and Its Applications - ICCSA 2005 - , Singapore
Duration: 2005 May 92005 May 12

Other

OtherInternational Conference on Computational Science and Its Applications - ICCSA 2005
CountrySingapore
Period05/5/905/5/12

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ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

Lim, H. S., Nam, K., & Hwang, Y. (2005). A computational model of Korean mental lexicon. In O. Gervasi, M. L. Gavrilova, V. Kumar, A. Lagana, H. P. Lee, Y. Mun, D. Taniar, ... C. J. K. Tan (Eds.), Lecture Notes in Computer Science (I ed., Vol. 3480, pp. 1129-1134)