TY - JOUR
T1 - A computation model of Korean lexical processing
AU - Yim, Hyungwook
AU - Lim, Heuseok
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.
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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 (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
IS - PART I
T2 - First International Conference on Natural Computation, ICNC 2005
Y2 - 27 August 2005 through 29 August 2005
ER -