A computational model of Korean mental lexicon

Heul Seok Lim, Kichun Nam, Yumi Hwang

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


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
Pages (from-to)1129-1134
Number of pages6
JournalLecture Notes in Computer Science
Issue numberI
Publication statusPublished - 2005
Externally publishedYes
EventInternational Conference on Computational Science and Its Applications - ICCSA 2005 - , Singapore
Duration: 2005 May 92005 May 12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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