A computation model of Korean lexical processing

Hyungwook Yim; Heuseok Lim; Kinam Park; Kichun Nam

doi:10.1007/11539087_114

A computation model of Korean lexical processing

Hyungwook Yim^*
, Heuseok Lim
, Kinam Park
, Kichun Nam

^*Corresponding author for this work

School of Psychology

Research output: Contribution to journal › Conference article › peer-review

Abstract

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 language	English
Pages (from-to)	844-849
Number of pages	6
Journal	Lecture Notes in Computer Science
Volume	3610
Issue number	PART I
DOIs	https://doi.org/10.1007/11539087_114
Publication status	Published - 2005
Event	First International Conference on Natural Computation, ICNC 2005 - Changsha, China Duration: 2005 Aug 27 → 2005 Aug 29

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/11539087_114

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title = "A computation model of Korean lexical processing",

abstract = "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.",

author = "Hyungwook Yim and Heuseok Lim and Kinam Park and Kichun Nam",

year = "2005",

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AU - Yim, Hyungwook

AU - Lim, Heuseok

AU - Park, Kinam

AU - Nam, Kichun

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N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/26844551294

U2 - 10.1007/11539087_114

DO - 10.1007/11539087_114

M3 - Conference article

AN - SCOPUS:26844551294

SN - 0302-9743

VL - 3610

SP - 844

EP - 849

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

IS - PART I

T2 - First International Conference on Natural Computation, ICNC 2005

Y2 - 27 August 2005 through 29 August 2005

ER -

A computation model of Korean lexical processing

Abstract

ASJC Scopus subject areas

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