About | HeinOnline Law Journal Library | HeinOnline Law Journal Library | HeinOnline
LOG IN
LOG IN

17 Int'l J. Educ. Tech. Higher Educ. 1 (2020)

handle is hein.journals/intjedth17 and id is 1 raw text is: AI-Thwaib et al. International Journal of Educational Technology in Higher EducationInternational journal of Educational (2020) 17:1 https://doi.org/10.1186/s41239-019-0174-x Technology in Higher Education E AR AT Open Aes An academic Arabic corpus for plagiarism detection: design, construction and experimentation Eman Al-Thwaibl, Bassam H. Hammo2 and Sane Yagi3 * Correspondence: b.hammo@ju. edu.jo 2De r ,nformaton Systems Department, Kng Abdula an School of Information Technology, University of Jordan, Amman, Jordan Fu st of author information is available at the end of the article I Springer Open Introduction Plagiarism is simply defined as appropriating others' words, thoughts, or intellectual property without providing proper citation or giving credit to them as the original source. The Oxford Dictionary' defines plagiarism as The practice of taking someone else's work or ideas and passing them off as one's own. With the exceptionally large 'https://en.oxforddictionaries.com/definition/plagiarism © The Author(s). 2020 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http//creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if chanaes were made. Abstract 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 JUPIag 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 JUPIag to finance the maintenance and development of the corpus. Keywords: Corpus tools, Natural language processing, Plagiarism detection, Text plagiarism, Verbatim plagiarism

What Is HeinOnline?

HeinOnline is a subscription-based resource containing thousands of academic and legal journals from inception; complete coverage of government documents such as U.S. Statutes at Large, U.S. Code, Federal Register, Code of Federal Regulations, U.S. Reports, and much more. Documents are image-based, fully searchable PDFs with the authority of print combined with the accessibility of a user-friendly and powerful database. For more information, request a quote or trial for your organization below.



Short-term subscription options include 24 hours, 48 hours, or 1 week to HeinOnline.

Purchase Access

Contact us for annual subscription options:

Contact Us

Already a HeinOnline Subscriber?

Log In

profiles profiles most