| Title: |
The iRead4Skills Intelligent Complexity Analyzer |
| Authors: |
Aissa, Wafa; Bañeras-Roux, Thibault; François, Thomas; Vanzeveren, Elodie; 2025 Conference on Empirical Methods in Natural Language Processing |
| Contributors: |
UCL - SSH/ILC/PLIN - Pôle de recherche en linguistique; UCL - SSH/TALN - Centre de traitement automatique du langage |
| Publisher Information: |
Association for Computational Linguistics |
| Publication Year: |
2025 |
| Collection: |
DIAL@USL-B (Université Saint-Louis, Bruxelles) |
| Description: |
We present the iRead4Skills Intelligent Complexity Analyzer, an open-access platform specifically designed to assist educators and content developers in addressing the needs of low-literacy adults by analyzing and diagnosing text complexity. This multilingual system integrates a range of Natural Language Processing (NLP) components to assess input texts along multiple levels of granularity and linguistic dimensions in Portuguese, Spanish, and French. It assigns four tailored difficulty levels using state-of-the-art models, and introduces four diagnostic yardsticks—textual structure, lexicon, syntax, and semantics—offering users actionable feedback on specific dimensions of textual complexity. Each component of the system is supported by experiments comparing alternative models on manually annotated data. |
| Document Type: |
conference object |
| Language: |
English |
| Relation: |
info:eu-repo/grantAgreement/European Commission/HORIZON- CL2-2022-TRANSFORMATIONS-01-07/iREad4skills; boreal:310331; https://hdl.handle.net/2078.1/310331 |
| DOI: |
10.18653/v1/2025.emnlp-demos.6 |
| Availability: |
https://hdl.handle.net/2078.1/310331; https://doi.org/10.18653/v1/2025.emnlp-demos.6 |
| Rights: |
info:eu-repo/semantics/openAccess |
| Accession Number: |
edsbas.E76C4D07 |
| Database: |
BASE |