Abstract
In recent years, due to the high availability of electronic documents through the Web, the plagiarism has become a serious challenge, especially among scholars. Various plagiarism detection systems have been developed to prevent text re-use and to confront plagiarism. Although it is almost easy to detect duplicate text in academic manuscripts, finding patterns of text re-use that has been semantically changed is of great importance. Another important issue is to deal with less resourced languages, which there are low volume of text for training purposes and also low performance in tools for NLP applications. In this paper, we introduce Hamtajoo, a Persian plagiarism detection system for academic manuscripts. Moreover, we describe the overall structure of the system along with the algorithms used in each stage. In order to evaluate the performance of the proposed system, we used a plagiarism detection corpus comply with the PAN standards.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Brown, N., Janssen, R.: Preventing plagiarism and fostering academic integrity: a practical approach. J. Perspect. Appl. Acad. Pract. 5(3), 102–109 (2017)
Lancaster, T., Culwin, F.: Classifications of plagiarism detection engines. Innov. Teach. Learn. Inf. Comput. Sci. 4(2), 1–16 (2005)
Lukashenko, R., Graudina, V., Grundspenkis, J.: Computer-based plagiarism detection methods and tools: an overview, In: Proceedings of the 2007 International Conference on Computer Systems and Technologies, CompSysTech 2007, Rousse, Bulgaria, 14–15 June 2007
Zhang (Yuehong), H.: CrossCheck: an effective tool for detecting plagiarism. Learn. Publ. 23(1), 9–14 (2010)
Zhang, Y., Jia, X.: A survey on the use of CrossCheck for detecting plagiarism in journal articles. Learn. Publ. 25(4), 292–307 (2012)
Batane, T.: Turning to Turnitin to fight plagiarism among university students. Educ. Technol. Soc. 13(2), 1–12 (2010)
Farghaly, A.: Computer processing of Arabic script-based languages: current state and future directions. In: Proceedings of the Workshop on Computational Approaches to Arabic Script-Based Languages (2004)
Menai, M.E.B., Bagais, M.: APlag: a plagiarism checker for Arabic texts. In: 6th International Conference on Computer Science and Education (ICCSE), pp. 1379–1383 (2011)
Alzahrani, S., Salim, N., Abraham , A., Palade, V.: iPlag: intelligent plagiarism reasoner in scientific publications. In: 2011 World Congress on Information and Communication Technologies (WICT), pp. 1–6 (2011)
Meuschke, N., Gipp, B., Breitinger, C., Berkeley, U.: CitePlag: a citation-based plagiarism detection system prototype. In: Proceedings of the 5th International Plagiarism Conference (2012)
Si, A., Leong, H.V., Lau, R.W.H.: CHECK: a document plagiarism detection system. In: Proceedings of the 1997 ACM Symposium on Applied Computing (SAC 1997), San Jose, CA, USA, pp. 70–77 (1997)
Pera, M.S., Ng, Y.K.: SimPaD: a word-similarity sentence-based plagiarism detection tool on Web documents. Web Intell. Agent Syst. 9(1), 27–41 (2011)
Collberg, C.S., Kobourov, S.G., Louie, J., Slattery, T.: SPLAT: a system for self-plagiarism detection. In: Proceedings of the International Conference WWW (ICWI), Algarve, Portugal, pp. 508–514 (2003)
Stein, B., zu Eissen, S.M., Potthast, M.: Strategies for retrieving plagiarized documents. In: Proceedings of the 30th Annual International ACM Conference on Research and Development in Information Retrieval (SIGIR), Amsterdam, The Netherlands, pp. 825–826 (2007)
Potthast, M., et al.: Overview of the 4th international competition on plagiarism detection. In: Evaluation Labs and Workshop (CLEF), Rome, Italy (2012)
Mohtaj, S., Roshanfekr, B., Zafarian, A., Asghari, H.: Parsivar: a Language Processing toolkit for Persian. In: Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC), Miyazaki, Japan (2018)
Matsuo, Y., Ishizuka, M.: Keyword extraction from a single document using word co-occurrence statistical information. Int. J. Artif. Intell. Tools 13(1), 157–169 (2004)
Witten, I.H., Paynter, G.W., Frank, E., Gutwin, C., Nevill-Manning, C.G.: KEA: practical automatic keyphrase extraction. In: Proceedings of the Fourth ACM Conference on Digital Libraries, Berkeley, CA, USA, pp. 254–255 (1999)
Hagen, M., Potthast, M., Stein, B.: Source retrieval for plagiarism detection from large web corpora: recent approaches. In: Conference and Labs of the Evaluation forum (CLEF), Toulouse, France (2015)
Asghari, H., Mohtaj, S., Fatemi, O., Faili, H., Rosso, P., Potthast, M.: Algorithms and corpora for persian plagiarism detection: overview of PAN at FIRE 2016. In: Forum for Information Retrieval Evaluation, Kolkata, India (2016)
Mohtaj, S., Tavakkoli, F.: Maglet: a Persian journal recommender system. In: 9th International Symposium on Telecommunications (IST), pp. 348–352 (2018)
Acknowledgment
This work has been accomplished in ICT research institute, ACECR and funded by Vice Presidency for Science and Technology of Iran - Grant No. 1164331. We would like to thank all of the members of ITBM and AIS research groups of ICT research institute for their contribution in corpus construction. Especial credit goes to Javad Rafiei and Khadijeh Khoshnava for their help in development and testing the algorithms.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 Springer Nature Switzerland AG
About this paper
Cite this paper
Zarrabi, V., Mohtaj, S., Asghari, H. (2023). Hamtajoo: A Persian Plagiarism Checker for Academic Manuscripts. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2018. Lecture Notes in Computer Science, vol 13396. Springer, Cham. https://doi.org/10.1007/978-3-031-23793-5_9
Download citation
DOI: https://doi.org/10.1007/978-3-031-23793-5_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-23792-8
Online ISBN: 978-3-031-23793-5
eBook Packages: Computer ScienceComputer Science (R0)