A Computational Model of Korean Lexical Decision Task and Its Comparative Analysis by Using Connectionist Model

In this paper, we experimented word frequency effect, word similarity effect and semantic priming effect among many language phenomena appears when Lexical Decision Task is progressing independently of language by applying them to 2 syllable words of Korean language through human being and connectionist model, and we compared and analyzed the result. The experiment shows that there were word frequency effect, word similarity effect and semantic priming effect for each human being and connectionist model and, the results of experiment behavioral and connectionist model exposed meaningful similarity.