Testing of support tools to detect plagiarism in academic Japanese texts

dc.authorid0000-0003-2074-427Xen_US
dc.authorid0000-0003-0670-1193en_US
dc.authorid0000-0003-2136-4391en_US
dc.authorid-en_US
dc.authorscopusid57218362258en_US
dc.authorscopusid58150980500en_US
dc.authorscopusid56010497700en_US
dc.authorscopusid58151280700en_US
dc.authorwosid-en_US
dc.authorwosidABI-4142-2020en_US
dc.authorwosidA-2034-2016en_US
dc.authorwosid-en_US
dc.contributor.authorÖzşen, Tolga
dc.contributor.authorSaka, İrem
dc.contributor.authorÇelik, Özgür
dc.contributor.authorRazı, Salim
dc.contributor.authorCente Akkan, Senem
dc.contributor.authorDlabolova, Dita Henek
dc.date.accessioned2023-09-09T12:34:54Z
dc.date.available2023-09-09T12:34:54Z
dc.date.issued2023en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Yabancı Diller Eğitimi Ana Bilim Dalı
dc.departmentFakülteler, Eğitim Fakültesi, Yabancı Diller Eğitimi Bölümü
dc.description.abstractPlagiarism has been among the top forms of academic misconduct. Detective, reactive and proactive measures are taken to mitigate plagiarism in scholarly works. Text-matching tools play a significant role in the detection of plagiarism. Many studies have tested the performance of text-matching tools in detecting plagiarism from various perspectives. However, no study addressed the performance of such tools in ideographic languages, particularly Japanese. Considering the sharp increase in the number of academic Japanese text and plagiarism incidents in the Japanese context, it is essential to explore to what extent text-matching tools catch similarities in Japanese texts and respond to the needs of Japanese users. Within this scope, this study set out to explore the coverage and usability performance of text-matching tools in the Japanese language. We tested the coverage performance of 10 text-matching tools with five types of intentionally plagiarized documents. Also, we tested the usability performance via a feature checklist. The testing results suggested that the tools generally give a relatively higher performance on the usability side rather than the coverage aspect. Most tools have minimal coverage performance in the Japanese language. In the end, we provided takeaways for vendors, policymakers and educators.en_US
dc.identifier.citationÖzşen, T., Saka, İ., Çelik, Ö., Razı, S., Akkan, S. Ç., & Dlabolova, D. H. (2023). Testing of support tools to detect plagiarism in academic Japanese texts. Education and Information Technologies, 1–35. https://doi.org/10.1007/s10639-023-11718-4en_US
dc.identifier.doi10.1007/s10639-023-11718-4
dc.identifier.issn1360-2357
dc.identifier.issn1573-7608
dc.identifier.scopus2-s2.0-85150617353
dc.identifier.urihttps://doi.org/10.1007/s10639-023-11718-4
dc.identifier.urihttps://hdl.handle.net/20.500.12428/4553
dc.identifier.wosWOS:000956322400007
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorÖzşen, Tolga
dc.institutionauthorSaka, İrem
dc.institutionauthorRazı, Salim
dc.institutionauthorCente Akkan, Senem
dc.language.isoen
dc.publisherSpringeren_US
dc.relation.ispartofEducation and Information Technologiesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPlagiarismen_US
dc.subjectText-matching toolsen_US
dc.subjectIdeographic languagesen_US
dc.subjectJapaneseen_US
dc.subjectCoverageen_US
dc.subjectUsabilityen_US
dc.titleTesting of support tools to detect plagiarism in academic Japanese texts
dc.typeArticle

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