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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      07 April 2023, Volume 38 Issue 2   
    Article

    A STUDY OF TOOLS AND TECHNIQUES FOR DETECTION AND REMOVAL FOR SOME PLAGIARISM TYPES
    Dr. Kiran Mayee Adavala
    Journal of Data Acquisition and Processing, 2023, 38 (2): 613-620 . 

    Abstract

    Plagiarism is nowadays all-pervasive. Spectrum 2.0 defines twelve types of plagiarism. Some of them can be detected and removed using software tools. Many such tools are commonplace on internet. One can identify a broad spectrum of features that make them popular. This paper describes some important types of plagiarism. It also focuses on some important features of Plagiarism detection and removal tools that make them popular. This paper also dwells briefly on the need for semantics based plagiarism checks for research papers.

    Keyword

    Plagiarism, Spectrum 2.0, Plagiarism tools, Semantics


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ISSN 1004-9037

         

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