A computation model of Korean lexical processing

Hyungwook Yim, Heuseok Lim, Kinam Park, Kichun Nam

Research output: Contribution to journalConference articlepeer-review


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
Pages (from-to)844-849
Number of pages6
JournalLecture Notes in Computer Science
Issue numberPART I
Publication statusPublished - 2005
Externally publishedYes
EventFirst International Conference on Natural Computation, ICNC 2005 - Changsha, China
Duration: 2005 Aug 272005 Aug 29

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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