TY - GEN
T1 - A computational Korean mental lexicon model for a cognitive-neuro scientific system
AU - Lim, Heui Seok
PY - 2005
Y1 - 2005
N2 - In this paper, we review major issues that have been addressed in Korean word recognition research, and we propose a computational model to explain Korean word recognition. The organization of the chapter is as follows: First, we briefly introduce some experimental results in Korean word recognition and morphological processing research. In this chapter, we will focus on studies regarding word frequency, word length, neighborhood effects, form priming, and morphological processing. Second, a computational model for Korean word recognition will be presented. The computational model was proposed to explain the characteristics of Korean morphological representation and processing. However, this computational model can explain other lexical effects such as word frequency, word length, and form priming effects. Third, the simulation results of the computational model will be shown and discussed. There will be comparison of the simulation results with human data: how well the model simulates Korean word processing and how much the simulated results coincide with that of human processing. We also discuss both the strength and weakness of the computational model.
AB - In this paper, we review major issues that have been addressed in Korean word recognition research, and we propose a computational model to explain Korean word recognition. The organization of the chapter is as follows: First, we briefly introduce some experimental results in Korean word recognition and morphological processing research. In this chapter, we will focus on studies regarding word frequency, word length, neighborhood effects, form priming, and morphological processing. Second, a computational model for Korean word recognition will be presented. The computational model was proposed to explain the characteristics of Korean morphological representation and processing. However, this computational model can explain other lexical effects such as word frequency, word length, and form priming effects. Third, the simulation results of the computational model will be shown and discussed. There will be comparison of the simulation results with human data: how well the model simulates Korean word processing and how much the simulated results coincide with that of human processing. We also discuss both the strength and weakness of the computational model.
UR - http://www.scopus.com/inward/record.url?scp=33745327621&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745327621&partnerID=8YFLogxK
U2 - 10.1007/11552413_13
DO - 10.1007/11552413_13
M3 - Conference contribution
AN - SCOPUS:33745327621
SN - 3540288945
SN - 9783540288947
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 84
EP - 89
BT - Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
PB - Springer Verlag
T2 - 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
Y2 - 14 September 2005 through 16 September 2005
ER -