Referential Cohesion in Chat GPT Conversations: A Study of Anaphora Cataphora

Abstract

Reference means the relation between a word and thing it is used to describe. It can be specific which refers to particular thing or generic which means a whole class of things without any particular. The use of anaphora and cataphora as a cohesive device is the main subject of this study, which investigates referential cohesion in Chat GPT interactions. It seeks to examine the ways in which these systems support coherence in conversation produced by AI. However, thirty carefully chosen chat samples between users and Chat GPT make up the data. In this respect, the results show that anaphora which helps preserve continuity and minimize repetition, is the most commonly employed referential device. It means, it is typically occurring through personal pronoun and demonstratives. Cataphora, on the other hand, is less common and is linked to more complex sentence patterns serving purposes like information organization and emphasis. According to the findings, Chat GPT improves coherence and clarity by using referential cohesiveness in way that are similar to human communication. Additionally, this study emphasizes the need of cohesiveness in successful communication and shows how conversation analysis frameworks can be used to AI generated language. That means, this study aims to assess the accuracy of textual coherence arising from these references in reducing ambiguity increasing user- machine comprehension.