Understanding plagiarism linguistic patterns, textual features and detection methods

DMCA

Understanding plagiarism linguistic patterns, textual features and detection methods (2011)

Cached

Download Links

by Salha M. Alzahrani , Naomie Salim , Ajith Abraham , Senior Member

Venue:	IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Citations:	20 - 4 self

BibTeX

@ARTICLE{Alzahrani11understandingplagiarism,
    author = {Salha M. Alzahrani and Naomie Salim and Ajith Abraham and Senior Member},
    title = {Understanding plagiarism linguistic patterns, textual features and detection methods},
    journal = {IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews},
    year = {2011}
}

OpenURL

Abstract

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 organization, shortening texts with concept generalization and specification, and adopting ideas and important contributions of others. Different textual features that characterize different plagiarism types are discussed. Systematic frameworks and methods of monolingual, extrinsic, intrinsic, and cross-lingual plagiarism detection are surveyed and correlated with plagiarism types, which are listed in the taxonomy. We conduct extensive study of state-of-the-art techniques for plagiarism detection, including character n-gram-based (CNG), vector-based (VEC), syntax-based

Keyphrases

detection method textual feature plagiarism linguistic pattern literal plagiarism state-of-the-art technique different textual feature abstract plagiarism new taxonomy systematic framework plagiarism detection plagiarist behavioral point highlight difference plagiarism type extensive study deep understanding different linguistic pattern different word different plagiarism type important contribution cross-lingual plagiarism detection intelligent plagiarism many different nature concept generalization

DMCA