Could Style Help Plagiarism Detection? - A Sample-based Quantitative Study of Correlation between Style Specifics and Plagiarism

Adile Uka, Maria Berger


Anthology ID:
2024.propor-2.14
Volume:
Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 2
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:
103–108
Language:
URL:
https://aclanthology.org/2024.propor-2.14
DOI:
Bibkey:
Cite (ACL):
Adile Uka and Maria Berger. 2024. Could Style Help Plagiarism Detection? - A Sample-based Quantitative Study of Correlation between Style Specifics and Plagiarism. In Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 2, pages 103–108, Santiago de Compostela, Galicia/Spain. Association for Computational Lingustics.
Cite (Informal):
Could Style Help Plagiarism Detection? - A Sample-based Quantitative Study of Correlation between Style Specifics and Plagiarism (Uka & Berger, PROPOR 2024)
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PDF:
https://aclanthology.org/2024.propor-2.14.pdf