METHODS OF COMPARING DOCUMENTS TO PREVENT PLAGIARISM

The article discusses approaches to comparing text documents that take into account both syntactic and semantic similarities. Fuzzy string comparison algorithms are described, as well as algorithms based on vector representations of word sets, indicating the metric of similarity calculation. A comparative analysis of the considered methods is carried out, advantages and disadvantages are identified for each. The results of the comparison can be used to determine the similarity of texts and automatically detect plagiarism.

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Publication Details

Journal
Applied Mathematics and Fundamental Informatics
Published
2025-01-01
DOI
https://doi.org/10.25206/2311-4908-2025-12-1-32-38
Primary Topic
Academic integrity and plagiarism
Type
article
Field-Weighted Citation Impact
0.00
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article

METHODS OF COMPARING DOCUMENTS TO PREVENT PLAGIARISM

V.V. MUNKO, Y.I. ZUBOVA
Applied Mathematics and Fundamental Informatics
Academic integrity and plagiarism
article

METHODS OF COMPARING DOCUMENTS TO PREVENT PLAGIARISM

V.V. MUNKO, Y.I. ZUBOVA
article en

Abstract

The article discusses approaches to comparing text documents that take into account both syntactic and semantic similarities. Fuzzy string comparison algorithms are described, as well as algorithms based on vector representations of word sets, indicating the metric of similarity calculation. A comparative analysis of the considered methods is carried out, advantages and disadvantages are identified for each. The results of the comparison can be used to determine the similarity of texts and automatically detect plagiarism.

Applied Mathematics and Fundamental InformaticsVol. 12(1)
Openalex Percentile: Top 86%
Academic integrity and plagiarism
DOIOpen Access PDFOpenAlex
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METHODS OF COMPARING DOCUMENTS TO PREVENT PLAGIARISM — V.V. MUNKO, Y.I. ZUBOVA · Applied Mathematics and Fundamental Informatics (2025) | TGRS Research Map | TGRS