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  2. Content similarity detection - Wikipedia

    en.wikipedia.org/wiki/Content_similarity_detection

    The results of the International Competitions on Plagiarism Detection held in 2009, 2010 and 2011, [6] [42] [43] as well as experiments performed by Stein, [34] indicate that stylometric analysis seems to work reliably only for document lengths of several thousand or tens of thousands of words, which limits the applicability of the method to ...

  3. Plagiarism - Wikipedia

    en.wikipedia.org/wiki/Plagiarism

    My Word!: Plagiarism and College Culture Archived 2018-12-07 at the Wayback Machine (2010) Eco, Umberto (1987) Fakes and Forgeries in Versus, Issues 46–48, republished in 1990 in The limits of interpretation pp. 174–202; Eco, Umberto (1990) Interpreting Serials in The limits of interpretation, pp. 83–100, excerpt; link unavailable

  4. 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 ...

  5. Undetectable.ai - Wikipedia

    en.wikipedia.org/wiki/Undetectable.ai

    Undetectable AI (or Undetectable.ai) is an artificial intelligence content detection and modification software designed to identify and alter artificially generated text, such as that produced by large language models. [1] [2]

  6. Grammarly - Wikipedia

    en.wikipedia.org/wiki/Grammarly

    In 2019, Grammarly added a tone detector to its writing assistant. This tool uses set rules and machine-learning to help users gauge the character of their writing and tailor it to a particular audience. [12] [13] That same year, the company held a second funding round, raising $90 million. [10]

  7. Word error rate - Wikipedia

    en.wikipedia.org/wiki/Word_error_rate

    The general difficulty of measuring performance lies in the fact that the recognized word sequence can have a different length from the reference word sequence (supposedly the correct one). The WER is derived from the Levenshtein distance, working at the word level instead of the phoneme level. The WER is a valuable tool for comparing different ...

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