A Stylistic Analysis of AI-Generated Short Stories: Exploring Lexical, Grammatical, and Figurative Features Using Leech and Short’s Framework
https://doi.org/10.5281/zenodo.17832196
Keywords:
AI-Generated Text, Stylistic Analysis, Short Stories, Lexical Features, Grammatical Features, Figures Of Speech, Narrative Techniques.Abstract
The advent of artificial intelligence (AI) in creative writing has raised important questions about its ability to generate artistic and linguistically sophisticated content and a critical gap remains in understanding the stylistic qualities of AI-generated fiction, particularly short stories. This study aims to fill that gap by providing a systematic stylistic analysis of AI-generated short stories using the framework developed by Leech and Short. The research seeks to explore the lexical, grammatical, and figurative language features of AI-generated narratives, with particular emphasis on four key stylistic categories: Lexical Categories, Grammatical Categories, Figures of Speech, and Cohesion and Context. Through the analysis of a corpus of AI-generated short stories, this study will evaluate whether AI exhibits a consistent and sophisticated storytelling style or if its output remains formulaic and generic. The findings of this research are expected to offer valuable insights into the potential and limitations of AI as a creative partner in literary production and contribute to a deeper understanding of its linguistic capabilities.
