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

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 languageEnglish
Title of host publicationLecture Notes in Computer Science
EditorsL. Wang, K. Chen, Y.S. Ong
Pages844-849
Number of pages6
Volume3610
EditionPART I
Publication statusPublished - 2005
Externally publishedYes
EventFirst International Conference on Natural Computation, ICNC 2005 - Changsha, China
Duration: 2005 Aug 272005 Aug 29

Other

OtherFirst International Conference on Natural Computation, ICNC 2005
CountryChina
CityChangsha
Period05/8/2705/8/29

Fingerprint

Semantics
Processing
Feedforward neural networks
Backpropagation
Entropy

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

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)

A computation model of Korean lexical processing. / Yim, Hyungwook; Lim, Heui Seok; Park, Kinam; Nam, Kichun.

Lecture Notes in Computer Science. ed. / L. Wang; K. Chen; Y.S. Ong. Vol. 3610 PART I. ed. 2005. p. 844-849.

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

Yim, H, Lim, HS, Park, K & Nam, K 2005, A computation model of Korean lexical processing. in L Wang, K Chen & YS Ong (eds), Lecture Notes in Computer Science. PART I edn, vol. 3610, pp. 844-849, First International Conference on Natural Computation, ICNC 2005, Changsha, China, 05/8/27.
Yim H, Lim HS, Park K, Nam K. A computation model of Korean lexical processing. In Wang L, Chen K, Ong YS, editors, Lecture Notes in Computer Science. PART I ed. Vol. 3610. 2005. p. 844-849
Yim, Hyungwook ; Lim, Heui Seok ; Park, Kinam ; Nam, Kichun. / A computation model of Korean lexical processing. Lecture Notes in Computer Science. editor / L. Wang ; K. Chen ; Y.S. Ong. Vol. 3610 PART I. ed. 2005. pp. 844-849
@inproceedings{17af2a3de5de46f082ab1b8cb7cf3206,
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 Lim, {Heui Seok} and Kinam Park and Kichun Nam",
year = "2005",
language = "English",
volume = "3610",
pages = "844--849",
editor = "L. Wang and K. Chen and Y.S. Ong",
booktitle = "Lecture Notes in Computer Science",
edition = "PART I",

}

TY - GEN

T1 - A computation model of Korean lexical processing

AU - Yim, Hyungwook

AU - Lim, Heui Seok

AU - Park, Kinam

AU - Nam, Kichun

PY - 2005

Y1 - 2005

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 - http://www.scopus.com/inward/record.url?scp=26844551294&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=26844551294&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:26844551294

VL - 3610

SP - 844

EP - 849

BT - Lecture Notes in Computer Science

A2 - Wang, L.

A2 - Chen, K.

A2 - Ong, Y.S.

ER -