Abstract
In this paper, we study the application of intrinsic stylometric methods to the task of plagiarism detection in Armenian texts. We use two task setups-style change detection and style breach detection-from PAN's series of conferences on text forensics and stylometry.
For these tasks, we generate synthetic test sets for texts of three genres (academic, literary, and news) and then use them to evaluate the effectiveness of hierarchical clustering and other relevant models presented at PAN conferences.