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  2. Comparison of anti-plagiarism software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_anti...

    Copyscape: Indigo Stream Technologies, Ltd. 2004 freemium [1] SaaS: Latin Targeted at website managers. [2] Grammarly: Grammarly, Inc. 2016 freemium: SaaS: Latin Checks against ProQuest databases and (public) web pages. [3] HelioBLAST: Virginia Bioinformatics Institute? (free of charge web service) Latin Submissions are limited to 1,000 words.

  3. Content similarity detection - Wikipedia

    en.wikipedia.org/wiki/Content_similarity_detection

    Systems for text similarity detection implement one of two generic detection approaches, one being external, the other being intrinsic. [5] External detection systems compare a suspicious document with a reference collection, which is a set of documents assumed to be genuine. [6]

  4. Category:Plagiarism detectors - Wikipedia

    en.wikipedia.org/wiki/Category:Plagiarism_detectors

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

  5. Turnitin - Wikipedia

    en.wikipedia.org/wiki/Turnitin

    Turnitin (stylized as turnitin) is an Internet-based similarity detection service run by the American company Turnitin, LLC, a subsidiary of Advance Publications. Founded in 1998, it sells its licenses to universities and high schools who then use the software as a service (SaaS) website to check submitted documents against its database and the ...

  6. Copyscape - Wikipedia

    en.wikipedia.org/wiki/Copyscape

    Copyscape is an online plagiarism detection service that checks whether similar text content appears elsewhere on the web. [1] [2] [3] It was launched in 2004 by Indigo Stream Technologies, Ltd. Copyscape is used by content owners to detect cases of "content theft", in which content is copied without permission from one site to another.

  7. Plagiarism - Wikipedia

    en.wikipedia.org/wiki/Plagiarism

    Despite its technological advancements, Turnitin has some limitations. A Croatian study found that "small"-language (languages with less of a digital footprint) written material is not supported by the larger base of plagiarism-detection tools, and that languages with more of a digital footprint and more outreach tend to be better supported. [73]