Intelligenza artificiale e lingua facile: confronto tra modelli generativi nella semplificazione testuale

Diplôme Master Intelligenza artificiale e lingua facile: confronto tra modelli generativi nella semplificazione testuale ita 2025 author Qualatrucci Valeria 955795 director Felici Annarita 0009-0007-6389-6990 826862 Services communs du département de traduction (TRACO) This thesis investigates the potential of large language models (LLMs) in the automatic simplification of texts into Easy Italian. Two advanced models, ChatGPT (OpenAI) and Claude Sonnet (Anthropic), were used to simplify two Swiss institutional texts through different prompting strategies, including zero-shot, prompt chaining, and fine-tuning. Sixteen outputs were produced and evaluated through a combined approach of qualitative assessment and automatic analysis.The results highlight the central role of prompting strategies and the importance of combining automatic analysis with human evaluation to ensure that the texts are genuinely inclusive.By presenting a reproducible evaluation framework and offering practical recommendations, this research contributes to the field of AI-assisted text simplification and provides insights for institutions and public services seeking to promote more inclusive communication practices. Intelligence artificielle Langue facile Simplification automatique Accessibilité Communication inclusive Dewey 418.02 Maîtrise universitaire en traduction spécialisée 111 Département de traduction 91 false 9e0c8b08-cf97-430e-99e2-31872505f575 Master thesis Restricted TESI_Qualatrucci.pdf 2211600 application/pdf 9e094356a4a4aef1ed6f48aa5fafb2c32c9f9a08645f25bf0d8bd2356ce3764d restrictedAccess Faculté de traduction et d'interprétation / Département de traduction

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Intelligenza artificiale e lingua facile: confronto tra modelli generativi nella semplificazione testuale				2025	27	2

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