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Journal article

Understanding plagiarism linguistic patterns, textual features, and detection methods

Abstract:

Plagiarism can be of many different natures, ranging from copying texts to adopting ideas, without giving credit to its originator. This paper presents a new taxonomy of plagiarism that highlights differences between literal plagiarism and intelligent plagiarism, from the plagiarist’s behavioral point of view. The taxonomy supports deep understanding of different linguistic patterns in committing plagiarism, for example, changing texts into semantically equivalent but with different words and...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1109/TSMCC.2011.2134847

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Institution:
University of Oxford
Department:
Mathematical, Physical & Life Sciences Division - Department of Computer Science

Contributors

Institution:
Universiti Teknologi Malaysia
Role:
Contributor
Institution:
MIRLabs
Role:
Contributor
Journal:
IEEE Transactions on systems, man, and cybernetics - Part C: Applications and reviews Journal website
Volume:
PP
Issue:
99
Pages:
1-17
Publication date:
2011-05-12
DOI:
ISSN:
1094-6977
URN:
uuid:cc0ef51c-001c-4c48-bb4c-43f64e94895d
Local pid:
ora:9878

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