Evaluation of the SHAPD2 algorithm efficiency in plagiarism detection tasks

This work presents results of the ongoing research in the area of natural language processing focusing on plagiarism detection, applying semantic networks and semantic compression. The results demonstrate that the semantic compression is a valuable addition to the existing methods used in plagiary detection. The application of the semantic compression boosts the efficiency of Sentence Hashing Algorithm for Plagiarism Detection 2 (SHAPD2) and w - shingling algorithm. Experiments were performed on Clough & Stephenson corpus as well as on an available PAN-PC plagiarism corpus used to evaluate plagiarism detection methods, so the results can be compared with other research teams.