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Investigating the Generalizability of Portuguese Readability Assessment Models Trained Using Linguistic Complexity Features

Soroosh Akef, Amália Mendes, Detmar Meurers, Patrick Rebuschat. Investigating the Generalizability of Portuguese Readability Assessment Models Trained Using Linguistic Complexity Features. In Pablo Gamallo 0001, Daniela Claro, António Teixeira, Livy Real, Marcos García 0001, Hugo Gonçalo Oliveira, Raquel Amaro, editors, Proceedings of the 16th International Conference on Computational Processing of Portuguese, PROPOR 2024, Santiago de Compostela, Galicia/Spain, 12-15 March, 2024. pages 332-341, Association for Computational Lingustics, 2024. [doi]

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