A Method of Plagiarism Source Retrieval and Text Alignment Based on Relevance Ranking Model

Kong, Leilei; Zhao, Zhuofeng; Lu, Zhimao; Qi, Haoliang; Zhao, Feng

doi:10.14257/ijdta.2016.9.12.04

Cited by 2 publications

(1 citation statement)

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“…1. For intrinsic plagiarism, we refer the reader to the work of AlSallal, Iqbal, Palade, Amin, and Chang (2019), Polydouri, Siolas, and Stafylopatis (2017), Tschuggnall andSpecht (2012), Zu Eissen andStein (2006); for stringbased extrinsic plagiarism detection, refer to Baba, Nakatoh, and Minami (2017), Leonardo and Hansun (2017), Nakatoh, Baba, Yamada, andIkeda (2011), Wise (1996); for vector-space-based plagiarism detection, see Kong, Zhao, Lu, Qi, and Zhao (2016), Meuschke, Siebeck, Schubotz, and Gipp (2017), Paul and Jamal (2015); for syntax-based plagiarism detection refer to Si, Leong, and Lau (1997), Vani and Gupta (2017); and for citation-based detection see Gipp and Beel (2010), Gipp and Meuschke (2011);and Meuschke, Gipp, Breitinger, and Berkeley (2012).…”

Section: Related Workmentioning

confidence: 99%

An academic Arabic corpus for plagiarism detection: design, construction and experimentation

Al-Thwaib

Hammo

Yagi

2020

Int J Educ Technol High Educ

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Advancement in information technology has resulted in massive textual material that is open to appropriation. Due to researchers' misconduct, a plethora of plagiarism detection (PD) systems have been developed. However, most PD systems on the market do not support the Arabic language. In this paper, we discuss the design and construction of an Arabic PD reference corpus that is dedicated to academic language. It consists of (2312) dissertations that were defended by postgraduate students at the University of Jordan (JU) between the years 2001-2016. This Academic Jordan University Plagiarism Detection corpus; henceforth, JUPlag, follows the Dewey decimal classification (DDC) in the way it is structured. The goal of the corpus is twofold: Firstly, it is a database for the detection of plagiarism in student assignments, reports, and dissertations. Secondly, the n-gram structure of the corpus provides a knowledgebase for linguistic analysis, language teaching, and the learning of plagiarism-free writing. The PD system is guided by JU Library's metadata for retrieval and discovery of plagiarism. To test JUPlag, we injected an unseen dissertation with multiple instances of plagiarism-simulated paragraphs and sentences. Experimentation with the system using different verbatim n-gram segments is indeed promising. Preliminary results encourage that permission be sought to enrich this corpus with all the theses in the Thesis Repository of the Union of Arab Universities. The JUPlag corpus is intended to function as an indispensable source for testing and evaluating plagiarism detection techniques. Since the University of Jordan is seeking to become a center for plagiarism detection for Arabic content and being a non-profit organization, it will charge a nominal fee for the use of JUPlag to finance the maintenance and development of the corpus.

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