Plagiarism Detection in Armenian Texts Using Intrinsic Stylometric Analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A7S3ERUB3" target="_blank" >RIV/00216208:11320/22:7S3ERUB3 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1134/S0361768822070039" target="_blank" >https://doi.org/10.1134/S0361768822070039</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1134/S0361768822070039" target="_blank" >10.1134/S0361768822070039</a>

Result language
angličtina
Original language name
Plagiarism Detection in Armenian Texts Using Intrinsic Stylometric Analysis
Original language description
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.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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