On the use of character n-grams as the only intrinsic evidence of plagiarism.
When a shift in writing style is noticed in a document, doubts arise about its originality. Based on this clue to plagiarism, the intrinsic approach to plagiarism detection identifies the stolen passages by analysing the writing style of the suspicious document without comparing it to textual resour...
| Publicado en: | Language Resources & Evaluation Vol. 53; no. 3; pp. 363 - 397 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Sep2019
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=138297594&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 138297594 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Sep2019 vid: 53 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 138297594 10.1007/s10579-019-09444-w ppf: 363 ppct: 34 formats: fmt: – @attributes: type: T – @attributes: type: P size: 978KB tig: atl: On the use of character n-grams as the only intrinsic evidence of plagiarism. aug: au: Bensalem, Imene Rosso, Paolo Chikhi, Salim affil: MISC Laboratory, Constantine 2 University, Constantine, Algeria PRHLT Research Center, Universitat Politècnica de València, Valencia, Spain su: Plagiarism Attribution of authorship Character Student cheating Best practices Evidence sug: subj: Plagiarism Attribution of authorship Character Student cheating Best practices Evidence keyword: Character n-grams Intrinsic plagiarism detection Stylistic features Writing style analysis ab: When a shift in writing style is noticed in a document, doubts arise about its originality. Based on this clue to plagiarism, the intrinsic approach to plagiarism detection identifies the stolen passages by analysing the writing style of the suspicious document without comparing it to textual resources that may serve as sources for the plagiarist. Character n-grams are recognised as a successful approach to modelling text for writing style analysis. Although prior studies have investigated the best practice of using character n-grams in authorship attribution and other problems, there is still a need for such investigations in the context of intrinsic plagiarism detection. Moreover, it has been assumed in previous works that the ways of using character n-grams in authorship attribution remain the same for intrinsic plagiarism detection. In this paper, we study the effect of character n-grams frequency and length on the performance of intrinsic plagiarism detection. Our experiments utilise two state-of-the-art methods and five large document collections of PAN labs written in English and Arabic. We demonstrate empirically that the low- and the high-frequency n-grams are not equally relevant for intrinsic plagiarism detection, but their performance depends on the way they are exploited. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2019. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2019 holdings: @attributes: islocal: N |
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