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Ribeiro, E., Antunes, D., Mamede, N. & J. Baptista (2025). The iRead4Skills Text Complexity Analyzer for European Portuguese. In INForum 2025. Évora
E. A. Ribeiro et al., "The iRead4Skills Text Complexity Analyzer for European Portuguese", in INForum 2025, Évora, 2025
@inproceedings{ribeiro2025_1777903956581,
author = "Ribeiro, E. and Antunes, D. and Mamede, N. and J. Baptista",
title = "The iRead4Skills Text Complexity Analyzer for European Portuguese",
booktitle = "INForum 2025",
year = "2025",
editor = "",
volume = "",
number = "",
series = "",
publisher = "",
address = "Évora",
organization = "",
url = "https://inforum2025.xdi.uevora.pt/"
}
TY - CPAPER TI - The iRead4Skills Text Complexity Analyzer for European Portuguese T2 - INForum 2025 AU - Ribeiro, E. AU - Antunes, D. AU - Mamede, N. AU - J. Baptista PY - 2025 CY - Évora UR - https://inforum2025.xdi.uevora.pt/ AB - This demo showcases the iRead4Skills intelligent complexity analyzer, with a focus on the Portuguese language. Aimed at adult native speakers with low literacy and their educators, the tool supports the selection of appropriate reading materials by assessing text complexity across multiple dimensions. It offers analysis at three levels of granularity: an overall complexity classification, a detailed complexity overview, and annotation of difficult linguistic phenomena. By combining language technology with real-world educational needs, the system promotes a more inclusive and data-driven literacy education. ER -
English