A computation model of Korean lexical processing

Hyungwook Yim, Heui Seok Lim, Kinam Park, Kichun Nam

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


This study simulates a lexical decision task in Korean by using a feed forward neural network model with a back propagation learning rule. Reaction time is substituted by a entropy value called 'semantic stress'. The model demonstrates frequency effect, lexical status effect and non-word legality effect, suggesting that lexical decision is made within a structure of orthographic and semantic features. The test implies that the orthographic and semantic features can be automatically applied to lexical information process.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science
EditorsL. Wang, K. Chen, Y.S. Ong
Number of pages6
EditionPART I
Publication statusPublished - 2005
Externally publishedYes
EventFirst International Conference on Natural Computation, ICNC 2005 - Changsha, China
Duration: 2005 Aug 272005 Aug 29


OtherFirst International Conference on Natural Computation, ICNC 2005

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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    Yim, H., Lim, H. S., Park, K., & Nam, K. (2005). A computation model of Korean lexical processing. In L. Wang, K. Chen, & Y. S. Ong (Eds.), Lecture Notes in Computer Science (PART I ed., Vol. 3610, pp. 844-849)