Text Document Plagiarism Detector
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Date
2021
Authors
Kořínek, Lukáš
ORCID
Advisor
Referee
Mark
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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Abstract
This paper provides an overview of diploma thesis concerned with research on availablemethods of plagiarism detection and then with design and implementation of such detector. Primaryaim is to detect plagiarism within academic works or theses issued at BUT. The detector uses sophisticatedpreprocessing algorithms to store documents in its own NoSQL corpus. Implementedcomparison algorithms are designed for parallel execution on graphical processing units and theycompare a single subject document against all other documents within the corpus in the shortest timepossible, enabling near real-time detection capabilities.
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Citation
Proceedings II of the 27st Conference STUDENT EEICT 2021: Selected Papers. s. 73-76. ISBN 978-80-214-5943-4
https://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazeni
https://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazeni
Document type
Peer-reviewed
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Language of document
en
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií