A Computational Model of Korean Mental Lexicon

This paper proposes a computational model of Korean mental lexicon which can explain very basic findings that are observed using the visual Korean lexical decision task. The model is Frequency-based trie which is based on the trie data structure. Alphabets in each node of the Frequency-based trie is...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Lim, Heui Seok, Nam, Kichun, Hwang, Yumi
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Computer science control theory systems Exact sciences and technology Lexical Access Lexical Decision Mental Lexicon Training Corpus Word Recognition
Online-Zugang:	Volltext
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