ATECA: a Web Application to Facilitate Easy-to-Read Adaptations

  • Mari Carmen Suárez De Figueroa Baonza
    Universidad Politécnica de Madrid. Ontology Engineering Group (OEG) https://orcid.org/0000-0003-3807-5019 mcsuarez[at]fi.upm.es
  • Paula Marina Blanco
    Universidad Politécnica de Madrid. Ontology Engineering Group (OEG)
  • Acher Blanco
    Universidad Politécnica de Madrid
  • Isam Diab Lozano
    Universidad Politécnica de Madrid. Ontology Engineering Group (OEG) https://orcid.org/0000-0002-3967-0672
  • María García-Agudo
    Universidad Politécnica de Madrid
  • Alejandro Muñoz
    Real Academia Española (RAE)
  • Cynthia Torres
    Universidad Politécnica de Madrid

Abstract

Easy Read arranges texts in an accessible manner so that people with cognitive disabilities may have an easier time reading a clear and simple language. Regarding the production of these easy-to-read texts, professional adapters manually correct the texts and strip them of any complicated structures that may difficult the reading process. In an attempt to facilitate this labour, the present research project aims to create a tool that expedites the adapting process, creating accessible and comprehensive documents for readers of any level. Thus, in collaboration with the Centro Español de Accesibilidad Cognitiva (CEACOG), the online service ATECA (Adaptación de TExtos en CAstellano) was created to identify and adapt any discrepancy with a selection of the guidelines on Spanish Easy Read stablished by the Norma UNE 153101:2018 EX (AENOR, 2018). ATECA is a pilot support system, based on Artificial Intelligence (AI), that can be introduced into the traditional process of manually adapting documents following the methodology. This pilot application performs in a (semi-)automatic manner the two first activities in the cyclical process of adapting documents to Easy Read: the analysis of documents and the suggestion for how to transform such documents, so that they comply with the guidelines of the methodology.
  • Referencias
  • Cómo citar
  • Del mismo autor
  • Métricas
AENOR, Asociación Española de Normalización y Certificación. (2018). Lectura Fácil. Pautas y recomendaciones para la elaboración de documentos (UNE: 153101 EX).https://www.une.org/encuentra-tu-norma/busca-tu-norma/norma/?c=N0060036

BabelNet. (2023). Entry Title. https://babelnet.org

Cargo, M. y Mercer, S. L. (2008). The value and challenges of participatory research: Strengthening its practice. Annu. Rev. Public Health, 29, 325-350.

Explosion AI. (2023). spaCy. https://spacy.io/

IEEE Standard Glossary of Software Engineering Terminology (1990). IEEE Std. 610.12-1990 (Revision and redesignation of IEEE Std. 792-1983).

IEEE Standard Glossary of Data Management Terminology (1990b). IEEE Std. 610.5-1990.

OpenAI. (2023). ChatGPT (versión del 15 de julio) [Modelo de lenguaje de gran tamaño]. https://chat.openai.com/chat

Plena inclusión. (s. f.). ¿Qué es la lectura fácil? https://www.plenainclusion.org/discapacidad-intelectual/recurso/lectura-facil/

Python Software Foundation. (s. f.). Python. https://www.python.org/

Real Academia Española. (2023). Diccionario de la lengua española (23.ª ed., versión 23.7 en línea). https://dle.rae.es [Fecha de consulta: 10/2023].

Russell, S. y Norvig, P. (2021). Artificial Intelligence: A Modern approach, global edition. Pearson Higher Ed.

SinonimosOnline.com. (s. f.). SinonimosOnline.com. Recuperado de https://www.sinonimosonline.com/

Suárez-Figueroa, M. C., Diab, I., Ruckhaus, E. y Cano, I. (2024). First steps in the development of a support application for easy-to-read adaptation. Universal Access in the Information Society, 23(1), 365-377. Publicado online: 18 November 2022. https://doi.org/10.1007/s10209-022-00946-z

Tesauro de la UNESCO (s/f). https://vocabularies.unesco.org/browser/thesaurus/es/
Suárez De Figueroa Baonza, M. C., Blanco, P. M., Blanco, A., Diab Lozano, I., García-Agudo, M., Muñoz, A., & Torres, C. (2025). ATECA: a Web Application to Facilitate Easy-to-Read Adaptations. Siglo Cero, 56(2), 115–137. https://doi.org/10.14201/scero.32147

Downloads

Download data is not yet available.
+