1. SISN
  2. All Volumes and Issues
  3. Volume 14, 2023
  4. Intelligent System for Detecting Plagiarism in Technical Texts

Intelligent System for Detecting Plagiarism in Technical Texts

SISN.
2023;
Volume 14
: pp. 235 - 247
https://doi.org/10.23939/sisn2023.14.235
Authors:
  1. Yurii Heriak
  2. Andriy Berko
1
Lviv Polytechnic National University, Ukraine
2
Lviv Polytechnic National University, Information Systems and Networks Department

The authors of the article developed a scientific reasoning, designed, and developed an intelligent system for detecting plagiarism in technical texts. The work defines the problem of plagiarism in the modern world and its relevance and analyzes the latest research and publications devoted to the latest methods of using intelligent information technologies to detect plagiarism. The need and expediency of developing and improving intellectual information technologies for detecting plagiarism, as well as the use of various methods of identifying matches in texts for the further development of such technologies, are substantiated. The authors developed a general algorithm for detecting plagiarism in technical texts based on the vector comparison method. The practical result of the study is the development of an intelligent system for detecting plagiarism in technical texts and confirmation of its efficiency by applying it to specific examples of technical texts.

plagiarism
machine learning
intelligent system
text documents
vector comparison
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