Exactus like: Plagiarism detection in scientific texts

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Abstract

The paper presents an overview of Exactus Like – a plagiarism detection system. Deep parsing for text alignment helps the system to find moderate forms of disguised plagiarism. The features of the system and its advantages are discussed. We describe the architecture of the system and present its performance.

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Sochenkov, I., Zubarev, D., Tikhomirov, I., Smirnov, I., Shelmanov, A., Suvorov, R., & Osipov, G. (2016). Exactus like: Plagiarism detection in scientific texts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9626, pp. 837–840). Springer Verlag. https://doi.org/10.1007/978-3-319-30671-1_76

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