Valutare la naturalezza dell’output prodotto dall’IA generativa: uno studio empirico sull’uso dei suffissi alterativi in un corpus di favole sintetiche e scritte da esseri umani
Year: 2026
Type: article
Abstract: This study empirically assesses the naturalness of AI-generated texts in comparison with human-written ones, using a corpus of fables authored by humans and generated by four LLMs (GPT-3.5 Turbo, GPT-4o mini, Teuken-7B, and Minerva-7B) trained on different datasets. To evaluate the naturalness of the fables, the study focuses on alterative suffixes, a distinctive feature of Italian that commonly occurs in child-oriented text genres. The results reveal that synthetic fables exhibit a lower usage of these suffixes, suggesting an indirect Anglicisation of these texts.
Source: Aisberg (University of Bergamo)
Author: De Cesare, Anna Maria
Institution: Technische Universität Dresden
Language: Italian
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7169998761