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 - Vol. 1
- 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:
- 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 - Vol. 1, 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)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/2024.propor-1.34.pdf