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

Soroosh Akef, Amália Mendes, Detmar Meurers, Patrick Rebuschat


Anthology ID:
2024.propor-1.34
Volume:
Proceedings of the 16th International Conference on Computational Processing of Portuguese
Month:
March
Year:
2024
Address:
Santiago de Compostela, Galicia/Spain
Editors:
Pablo Gamallo, Daniela Claro, António Teixeira, Livy Real, Marcos Garcia, Hugo Gonçalo Oliveira, Raquel Amaro
Venue:
PROPOR
SIG:
Publisher:
Association for Computational Lingustics
Note:
Pages:
332–341
Language:
URL:
https://aclanthology.org/2024.propor-1.34
DOI:
Bibkey:
Cite (ACL):
Soroosh Akef, Amália Mendes, Detmar Meurers, and Patrick Rebuschat. 2024. Investigating the Generalizability of Portuguese Readability Assessment Models Trained Using Linguistic Complexity Features. In Proceedings of the 16th International Conference on Computational Processing of Portuguese, pages 332–341, Santiago de Compostela, Galicia/Spain. Association for Computational Lingustics.
Cite (Informal):
Investigating the Generalizability of Portuguese Readability Assessment Models Trained Using Linguistic Complexity Features (Akef et al., PROPOR 2024)
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PDF:
https://aclanthology.org/2024.propor-1.34.pdf