Home > Research > Publications & Outputs > Investigating the generalizability of Portugues...

Research

Associated organisational unit

Electronic data

Links

View graph of relations

Investigating the generalizability of Portuguese readability assessment models trained using linguistic complexity features

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Published

Standard

Investigating the generalizability of Portuguese readability assessment models trained using linguistic complexity features. / Akef, Soroosh; Meurers, Detmar; Mendes, Amalia et al.
Proceedings of the 16th International Conference on Computational Processing of Portuguese (PROPOR 2024): PROPOR 2024. Stroudsburg: Association for Computational Linguistics, 2024. p. 332-341.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Akef, S, Meurers, D, Mendes, A & Rebuschat, P 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 (PROPOR 2024): PROPOR 2024. Association for Computational Linguistics, Stroudsburg, pp. 332-341. <https://aclanthology.org/2024.propor-1.0.pdf>

APA

Akef, S., Meurers, D., Mendes, A., & Rebuschat, P. (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 (PROPOR 2024): PROPOR 2024 (pp. 332-341). Association for Computational Linguistics. https://aclanthology.org/2024.propor-1.0.pdf

Vancouver

Akef S, Meurers D, Mendes A, Rebuschat P. 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 (PROPOR 2024): PROPOR 2024. Stroudsburg: Association for Computational Linguistics. 2024. p. 332-341

Author

Akef, Soroosh ; Meurers, Detmar ; Mendes, Amalia et al. / Investigating the generalizability of Portuguese readability assessment models trained using linguistic complexity features. Proceedings of the 16th International Conference on Computational Processing of Portuguese (PROPOR 2024): PROPOR 2024. Stroudsburg : Association for Computational Linguistics, 2024. pp. 332-341

Bibtex

@inproceedings{7da81c3e66654ba19626c9c20911a78d,
title = "Investigating the generalizability of Portuguese readability assessment models trained using linguistic complexity features",
author = "Soroosh Akef and Detmar Meurers and Amalia Mendes and Patrick Rebuschat",
year = "2024",
month = mar,
day = "12",
language = "English",
pages = "332--341",
booktitle = "Proceedings of the 16th International Conference on Computational Processing of Portuguese (PROPOR 2024)",
publisher = "Association for Computational Linguistics",

}

RIS

TY - GEN

T1 - Investigating the generalizability of Portuguese readability assessment models trained using linguistic complexity features

AU - Akef, Soroosh

AU - Meurers, Detmar

AU - Mendes, Amalia

AU - Rebuschat, Patrick

PY - 2024/3/12

Y1 - 2024/3/12

M3 - Conference contribution/Paper

SP - 332

EP - 341

BT - Proceedings of the 16th International Conference on Computational Processing of Portuguese (PROPOR 2024)

PB - Association for Computational Linguistics

CY - Stroudsburg

ER -