“Simple-Tool”: A Tool for the Automatic Transformation of Spanish Texts into Easy-to-Read

Beatriz Botella-Gil, Isabel Espinosa-Zaragoza, Paloma Moreda Pozo, Manuel Palomar


Abstract
Automatic Text Simplification (ATS) has emerged as a key area of research within the field of Natural Language Processing, aiming to improve access to information by reducing the linguistic complexity of texts. Simplification can be applied at various levels—lexical, syntactic, semantic, and stylistic—and must be tailored to meet the needs of different target audiences, such as individuals with cognitive disabilities, low-literacy readers, or non-native speakers. This work introduces a tool that automatically adapts Spanish texts into Easy-to-Read format, enhancing comprehension for people with cognitive or reading difficulties. The proposal is grounded in a critical review of existing Spanish-language resources and addresses the need for accessible, well-documented solutions aligned with official guidelines, reinforcing the potential of text simplification as a strategy for inclusion.
Anthology ID:
2025.ranlp-1.24
Volume:
Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era
Month:
September
Year:
2025
Address:
Varna, Bulgaria
Editors:
Galia Angelova, Maria Kunilovskaya, Marie Escribe, Ruslan Mitkov
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd., Shoumen, Bulgaria
Note:
Pages:
204–209
Language:
URL:
https://aclanthology.org/2025.ranlp-1.24/
DOI:
Bibkey:
Cite (ACL):
Beatriz Botella-Gil, Isabel Espinosa-Zaragoza, Paloma Moreda Pozo, and Manuel Palomar. 2025. “Simple-Tool”: A Tool for the Automatic Transformation of Spanish Texts into Easy-to-Read. In Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era, pages 204–209, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.
Cite (Informal):
“Simple-Tool”: A Tool for the Automatic Transformation of Spanish Texts into Easy-to-Read (Botella-Gil et al., RANLP 2025)
Copy Citation:
PDF:
https://aclanthology.org/2025.ranlp-1.24.pdf