A NEURAL NETWORK MODEL FOR NATURAL LANGUAGE: THE CASE OF HOMONYMY

摘要

The Cognitive Linguistic Adaptive Resonant Network (CLAR-NET, Koutsomi-topoulou 2004) is a biologically faithful neural network model of conceptual associations with input from English. Conceptual linguistic associations are analyzed as dynamic resonant patterns represented in terms of neuronal activation. The CLAR-NET model extends the line of research of Loritz 1999 to various linguistic phenomena in the realm of conceptual analysis, among which homonymy. This short presentation outlines the model using homonymy as an illustrative example.