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Aissa, W., Raquel Amaro, Antunes, D., Bañeras-Roux, T., J. Baptista, Catala, A....Vanzeveren, E. (2025). The iRead4Skills Intelligent Complexity Analyzer. In Ivan Habernal, Peter Schulam, Jörg Tiedemann (Ed.), Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. (pp. 73-84). Suzhou, China: Association for Computational Linguistics.

W. Aissa et al.,  "The iRead4Skills Intelligent Complexity Analyzer", in Proc. of the 2025 Conf. on Empirical Methods in Natural Language Processing: System Demonstrations, Ivan Habernal, Peter Schulam, Jörg Tiedemann, Ed., Suzhou, China, Association for Computational Linguistics, 2025, pp. 73-84

@inproceedings{aissa2025_1777826376650,
	author = "Aissa, W. and Raquel Amaro and Antunes, D. and Bañeras-Roux, T. and J. Baptista and Catala, A. and Correia, L. and François, T. and Garcia, M. and Izquierdo-Álvarez, M. and Mamede, N. and Martins, V. and Neves. M. and Ribeiro, E. and Rodriguez Rey, S. and Vanzeveren, E.",
	title = "The iRead4Skills Intelligent Complexity Analyzer",
	booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
	year = "2025",
	editor = "Ivan Habernal, Peter Schulam, Jörg Tiedemann",
	volume = "",
	number = "",
	series = "",
	doi = "10.18653/v1/2025.emnlp-demos.6",
	pages = "73-84",
	publisher = "Association for Computational Linguistics",
	address = "Suzhou, China",
	organization = "",
	url = "https://2025.emnlp.org/"
}

TY  - CPAPER
TI  - The iRead4Skills Intelligent Complexity Analyzer
T2  - Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
AU  - Aissa, W.
AU  - Raquel Amaro
AU  - Antunes, D.
AU  - Bañeras-Roux, T.
AU  - J. Baptista
AU  - Catala, A.
AU  - Correia, L.
AU  - François, T.
AU  - Garcia, M.
AU  - Izquierdo-Álvarez, M.
AU  - Mamede, N.
AU  - Martins, V.
AU  - Neves. M.
AU  - Ribeiro, E.
AU  - Rodriguez Rey, S.
AU  - Vanzeveren, E.
PY  - 2025
SP  - 73-84
DO  - 10.18653/v1/2025.emnlp-demos.6
CY  - Suzhou, China
UR  - https://2025.emnlp.org/
AB  - 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.
ER  -