Results

Resources

Simple.Text Tool

The Simple.Text tool transforms texts in Spanish to make them more readable and accessible for people with intellectual disabilities. Following the Easy-to-Read guidelines (Norma UNE 153101:2018 EX sobre Lectura Fácil), this tool processes the input text and returns a simplified version that complies with these standards. The currently implemented functionalities include the simplification of superlatives, adverbs ending in -mente, as well as the simplification of numerical expressions, among others.

Demo link: https://simpletext.demos.gplsi.es/

ClearSim Corpus

ClearSim is a parallel corpus in Spanish consisting of public administration texts, both in their original versions and adapted to Easy-to-Read and facilitated formats. This resource includes 15,000 original texts, 10,000 texts simplified with ChatGPT and reviewed by humans, and more than 4,000 texts adapted by experts following Easy-to-Read guidelines. The texts have been selected from the most important municipalities in Alicante, more specifically, from the sections of sport, culture and leisure, and have been adapted and validated in collaboration with APSA, an NGO specialised in adapting texts for people with disabilities. The corpus is aligned at the document level, and part of the texts have been tagged and aligned at the sentence level, making it useful for machine learning tasks and linguistic studies.

Corpus link: https://rua.ua.es/entities/publication/34d696a3-8322-4d66-87ac-d0852671ecda

ClearText Corpus

Corpus of public administration documents, in easy reading and original version when available. This corpus is still under development and at the moment contains 140,000 tokens of documents such as the Statute of Autonomy of the Community of Madrid or the Guide to the institutions and organizations of the European Union. 

It can be used to develop alignment methods between easy-to-read and original versions, training generative models for simplification, among other Natural Language Processing tasks.

Corpus link: Corpus ClearText

Publications

  1. Espinosa-Zaragoza, I., Moreda, P., & Palomar, M. (2024). Enhancing clarity: An evaluation of the Simple. Text tool for numerical expression simplification. Procesamiento del lenguaje natural, 72, 99-108. DOI 10.26342/2024-72-7 
  2. Martin, T. J., Abreu Salas, J. I., & Moreda Pozo, P. (2023, June). A review of parallel corpora for automatic text simplification. Key challenges moving forward. In International Conference on Applications of Natural Language to Information Systems (pp. 62-78). NLDB2023. Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35320-8_5
  3. Aceptado, pendiente publicación: Niklaus, C., Espinosa-Zaragoza, I., Muñoz-García, V. and Moreda Pozo, P. (xxxx). A Comparative Study of Sentence Alignment Methods for Spanish Text Simplification, Language Resources and Evaluation.
  4. Victoria Muñoz-García, Juan Pablo Consuegra-Ayala, Paloma Moreda. Leading and non-leading prompts: Quantifying gender bias in Large Language Models through BiasBloom corpus. Knowl. Based Syst. 325: 113915 (2025). https://doi.org/10.1016/j.knosys.2025.113915
  5. Espinosa-Zaragoza, I., Abreu-Salas, J., Pozo, P. M., & Palomar, M. (2023, September). Automatic text simplification for people with cognitive disabilities: Resource creation within the ClearText project. In Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability (pp. 68-77). https://aclanthology.org/2023.tsar-1.7/
  6. Espinosa-Zaragoza, I., Abreu-Salas, J., Lloret, E., Pozo, P. M., & Palomar, M. (2023, September). A review of research-based automatic text simplification tools. In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing (pp. 321-330). RANLP2023. https://aclanthology.org/2023.ranlp-1.36/
  7. Botella-Gil, B., Bonet-Jover, A., Sepúlveda-Torres, R., Martínez-Barco, P., & Saquete, E. (2024). Exploring the Relationship between News Reliability and Violent Comments in Digital Media. In Proceedings of the 40th International Conference of the Spanish Society for Natural Language Processing. https://dblp.org/rec/conf/sepln/Botella-GilBSMS24.html
  8. Moreda, P., Botella, B., Espinosa-Zaragoza, I., Lloret, E., Martin, T. J., Martínez-Barco, P., Suárez, A. & Palomar, M. (2023). CLEAR.TEXT Enhancing the Modernization Public Sector Organizations by Deploying Natural Language Processing to Make Their Digital Content CLEARER to Those with Cognitive Disabilities. In Annual Conference of the Spanish Association for Natural Language Processing 2023: Projects and System Demonstrations. https://ceur-ws.org/Vol-3516/paper09.pdf
  9. Botella-Gil, B., Espinosa-Zaragoza, I., Moreda, P., & Palomar, M.(2025) Simple.Text: A Tool for the Automatic Transformation of Spanish Texts into Easy-to-Read. Proceedings of Recent Advances in Natural Language Processing,pages 204–209 Varna, Sep 8–10, 2025.  RANLP2025
  10. Botella-Gil, B., Consuegra-Ayala, J. P., Bonet-Jover, A., & Moreda-Pozo, P. Balancing the Scales: Addressing Gender Bias in Social Media Toxicity Detection. Proceedings of Recent Advances in Natural Language Processing,pages 194–203 Varna, Sep 8–10, 2025. RANLP2025 https://doi.org/10.26615/978-954-452-098-4-023
  11. Beatriz Botella-Gil, Isabel Espinosa-Zaragoza, Alba Bonet-Jover, Margot Madina, Lucas Molino-Piñar, Paloma Moreda, Itziar Gonzalez-Dios, María Teresa Martín Valdivia, Luis Alfonso Ureña López.  Overview of CLEARS at IberLEF 2025: Challenge for Plain Language and Easy-to-Read Adaptation for Spanish texts. Proces. del Leng. Natural 75: 393-400 (2025). DOI 10.26342/2025-75-28 . http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6762
  12. Elena Lloret, Brandon Mendez, Paloma Moreda, Manuel Palomar. ADAPT@: A MULTILINGUAL AND MULTIMODAL ONLINE WEB APPLICATION TO PERSONALIZE TEXTUAL INFORMATION PROCESSING AND VISUALIZATION. 17th International Technology, Education and Development Conference. pp 605 – 614. 6-8 Marzo 2923. Valencia (España). DOI:10.21125/inted.2023.0207
  13. Paloma Moreda. Simple.Text, la herramienta virtual para la inclusión digital creada por el CENID. NOVACIENCIA. (pp. 24-25). Año 20. Número 207. Febrero 2025. (www.novaciencia.es)
  14. Enviado: Espinosa-Zaragoza, I. (xxxx) How Consistent is ChatGPT-4 in Easy-to-Read Text Generation? An Analysis Using Prompting Techniques. Language in the Digital Age / Las lenguas en la era digital. Peter Lang.
  15. Paloma Moreda y Manuel Palomar. (2025) Simple.Text: la IA al servicio del lenguaje claro. Crónica de la lengua española 2025. (pp. 279-286). Real Academia Española (RAE), Asociación de Academias de la Lengua Española. Editorial Planeta S.A. https://proassetspdlcom.cdnstatics2.com/usuaris/libros_contenido/arxius/63/62160_Cronica_de_la_lengua_espanola_2025.pdf