Reliability assessment of the automatic plagiarism detection system for various editing patterns in documents containing complex mathematical notation

The paper presents the idea and implementation details of a novel tool intended for detection of plagiarism in mathematical content of LAT_EX files. The proposed algorithm compares LAT_EX 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 LAT_EX features, and proved to be an efficient tool for plagiarism detection.