Modeling pathological patterns of spoken natural language by using SPNs

Abstract

This paper deals with the modeling of spoken natural language (NL) to detect schizophrenic patterns. The modeling and analysis of the spoken NL is based on its formal representation by using stochastic Petri nets (SPNs) and the synthesis of the SPN forms for the appropriate interpretations and the detection of schizophrenic patterns, if any.