Open AccessReliability assessment of the automatic plagiarism detection system for various editing patterns in documents containing complex mathematical notation
Author(s) -
Agnieszka Bier,
Zdzisław Sroczyński
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1828/1/012109
Subject(s) - mathematical notation , notation , computer science , similarity (geometry) , reliability (semiconductor) , mode (computer interface) , plagiarism detection , symbolic computation , mathematical theory , natural language processing , programming language , theoretical computer science , algorithm , artificial intelligence , arithmetic , mathematics , human–computer interaction , mathematical analysis , power (physics) , physics , quantum mechanics , image (mathematics)
The paper presents the idea and implementation details of a novel tool intended for detection of plagiarism in mathematical content of LATEX files. The proposed algorithm compares LTeX files and detects possible similarities in mathematical formulas, providing an objective similarity score. It offers two modes of comparison: direct (symbolic) mode and verbalized math mode, where the mathematical expressions are first verbalized to spoken language form and compared as such. The solution has been tested against identified various types of plagiarism specific to mathematical symbolic notation and LATeX features, and proved to be an efficient tool for plagiarism detection.