Automated adaptation of text for children: LLM prompts and outputs

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Authors: Ana Cláudia Vieites Mendes, Mattia Thibault
Cited by: 0

Abstract

Collection of LLM outputs generated for an intralingual translation (adaptation) task. The objective of the task was to adapt a short museum text to be more suitable and easily readable for younger audiences (age groups: 6 to 8 years old, 9 to 12, 13 to 15, and 16 to 18 years old). The file contains the third and final iteration of prompts used in the experiment, and the corresponding outputs generated by the chosen four LLM chatbots: Copilot, ChatGPT, Claude and DeepSeek.

Fields of Study & Subjects

Text Readability and Simplification Natural Language Processing Techniques Translation Studies and Practices

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026
Language
EN
Document type
Dataset