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    <abstract>This study presents a novel approach to assessing French text readability for adults with low literacy skills, addressing both global (full-text) and local (segment-level) difficulty. We introduce a dataset of 461 texts annotated using a difficulty scale developed specifically for this population. Using this corpus, we conducted a systematic comparison of key readability modeling approaches, including machine learning techniques based on linguistic variables, fine-tuning of CamemBERT, a hybrid approach combining CamemBERT with linguistic variables, and the use of generative language models (LLMs) to carry out readability assessment at both global and local levels.</abstract>
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%0 Conference Proceedings
%T Assessing French Readability for Adults with Low Literacy: A Global and Local Perspective
%A Aissa, Wafa
%A Bañeras-Roux, Thibault
%A Vanzeveren, Elodie
%A Gao, Lingyun
%A Wilkens, Rodrigo
%A François, Thomas
%Y Christodoulopoulos, Christos
%Y Chakraborty, Tanmoy
%Y Rose, Carolyn
%Y Peng, Violet
%S Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-332-6
%F aissa-etal-2025-assessing
%X This study presents a novel approach to assessing French text readability for adults with low literacy skills, addressing both global (full-text) and local (segment-level) difficulty. We introduce a dataset of 461 texts annotated using a difficulty scale developed specifically for this population. Using this corpus, we conducted a systematic comparison of key readability modeling approaches, including machine learning techniques based on linguistic variables, fine-tuning of CamemBERT, a hybrid approach combining CamemBERT with linguistic variables, and the use of generative language models (LLMs) to carry out readability assessment at both global and local levels.
%U https://aclanthology.org/2025.emnlp-main.1036/
%P 20528-20550

Markdown (Informal)

[Assessing French Readability for Adults with Low Literacy: A Global and Local Perspective](https://aclanthology.org/2025.emnlp-main.1036/) (Aissa et al., EMNLP 2025)

• Assessing French Readability for Adults with Low Literacy: A Global and Local Perspective (Aissa et al., EMNLP 2025)

ACL

• Wafa Aissa, Thibault Bañeras-Roux, Elodie Vanzeveren, Lingyun Gao, Rodrigo Wilkens, and Thomas François. 2025. Assessing French Readability for Adults with Low Literacy: A Global and Local Perspective. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 20528–20550, Suzhou, China. Association for Computational Linguistics.