Intelligent System for Detecting Plagiarism in Technical Texts

Author:

,Heriak YuriiORCID,Berko AndriyORCID,

Abstract

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.

Publisher

Lviv Polytechnic National University

Reference22 articles.

1. Todorova N. Yu. Fighting Plagiarism: Cultural Patterns and Pedagogical Implications in the EAP/ESP Context. Academia.edu. Platform for academics to share research papers. URL: https://www.academia.edu/1459171/Fighting_Plagiarism_Cultural_Patterns_and_Pedagogical_Implications_in_the_ EAP_ESP_Context

2. Academic dishonesty - cheating and plagiarism in Ukrainian higher education. OECD Reviews of Integrity in Education: Ukraine 2017. URL: http://www.keepeek.com/DigitalAsset-Management/oecd/education/oecd-reviews- of-integrity-in-education-ukraine-2017/academic-dishonestycheating-and-plagiarism-in-ukrainian-higher- education_9789264270664-13-en#page1

3. Academic Culture of Ukrainian Students: Key Factors of Formation and Development. East Ukrainian Foundation of Social Research. URL: http://fond.sociology.kharkov.ua/images/docs/academ_cult/material.pdf

4. Sánchez-Vega F., Villatoro-Tello E., Montes-y-Gómez M., Rosso P., Stamatatos E., Villaseñor-Pineda L. (2019) Paraphrase plagiarism identification with character-level features. Pattern Anal Appl 22(2): 669-681. DOI: 10.1007/s10044-017-0674-z

5. Sanchez-Perez M., Sidorov G. and Gelbukh A. (2014). A winning approach to text alignment for text reuse detection at PAN 2014- notebook for PAN at CLE", In: Cappellato L., Ferro N., Halvey M., Kraaij W. (eds) CLEF 2014 evaluation labs and workshop-working notes papers, 15-18 September, CEUR-WS.org, Shefeld, UK, 1004- 1011.

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