Learning the Style via Mixed SN-Grams: An Evaluation in Authorship Attribution

Learning the Style via Mixed SN-Grams: An Evaluation in Authorship Attribution

This study addresses the problem of authorship attribution with a novel method for modeling writing style using dependency tree subtree parsing. This method exploits the syntactic information of sentences using mixed syntactic <i>n</i>-grams (mixed sn-grams). The method comprises an algo...

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Bibliographic Details
Main Authors: Juan Pablo Francisco Posadas-Durán, Germán Ríos-Toledo, Erick Velázquez-Lozada, J. A. de Jesús Osuna-Coutiño, Madaín Pérez-Patricio, Fernando Pech May
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:AI
Subjects:
authorship attribution
stylometrics
style markers
syntactic dependency <i>n</i>-grams
machine learning
writing style
Online Access:https://www.mdpi.com/2673-2688/6/5/104
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