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  2. Comparison of anti-plagiarism software - Wikipedia

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

    Turnitin: iParadigms 1997 proprietary: SaaS: Latin & multiple scripts through translation [10] Automatically stores uploaded texts (submitted for checking) in its own database. [11] Unicheck: Unicheck 2014 SaaS proprietary: SaaS: Latin, Cyrillic Pricing "per page" based on 137.5 words per nominal page. [12]

  3. 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 ...

  4. Content similarity detection - Wikipedia

    en.wikipedia.org/wiki/Content_similarity_detection

    By applying flexible chunking and selection strategies, they are better capable of detecting moderate forms of disguised plagiarism when compared to substring matching procedures. Intrinsic plagiarism detection using stylometry can overcome the boundaries of textual similarity to some extent by comparing linguistic similarity.

  5. Grammarly - Wikipedia

    en.wikipedia.org/wiki/Grammarly

    Grammarly is an English language writing assistant software tool. It reviews the spelling, grammar, and tone of a piece of writing as well as identifying possible instances of plagiarism . It can also suggest style and tonal recommendations to users and produce writing from prompts with its generative AI capabilities.

  6. 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

  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]