Exactus like: Plagiarism detection in scientific texts

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. © Springer International Publishing Switzerland 2016.

Authors
Sochenkov I. 1, 2 , Zubarev D.2 , Tikhomirov I.2 , Smirnov I.2 , Shelmanov A.2 , Suvorov R.2 , Osipov G.2
Journal
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Language
English
Pages
837-840
Status
Published
DOI
10.1007/978-3-319-30671-1_76
Volume
9626
Year
2016
Organizations
  • 1 Peoples’ Friendship University of Russia, Moscow, Russian Federation
  • 2 Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russian Federation
Keywords
Information retrieval; Plagiarism detection; Scientific texts; Text alignments; Intellectual property
Date of creation
19.10.2018
Date of change
19.10.2018
Short link
https://repository.rudn.ru/en/records/article/record/4139/
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