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  2. QuillBot - Wikipedia

    en.wikipedia.org/wiki/QuillBot

    Research from 2021 proposed that QuillBot could potentially be used for paraphrasing tasks, but indicated the importance of English language proficiency for using it properly. [ 7 ] [ 8 ] [ 9 ] See also

  3. Copyleaks - Wikipedia

    en.wikipedia.org/wiki/Copyleaks

    Copyleaks is a plagiarism detection platform that uses artificial intelligence (AI) to identify similar and identical content across various formats. [1] [2]Copyleaks was founded in 2015 by Alon Yamin and Yehonatan Bitton, software developers working with text analysis, AI, machine learning, and other cutting-edge technologies.

  4. Comparison of anti-plagiarism software - Wikipedia

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

    Latin & multiple scripts through translation [11] Automatically stores uploaded texts (submitted for checking) in its own database. [12] Unicheck: Unicheck 2014 SaaS proprietary: SaaS: Latin, Cyrillic Pricing "per page" based on 137.5 words per nominal page. [13]

  5. Content similarity detection - Wikipedia

    en.wikipedia.org/wiki/Content_similarity_detection

    Citation-based plagiarism detection (CbPD) [26] relies on citation analysis, and is the only approach to plagiarism detection that does not rely on the textual similarity. [27] CbPD examines the citation and reference information in texts to identify similar patterns in the citation sequences. As such, this approach is suitable for scientific ...

  6. PlagScan - Wikipedia

    en.wikipedia.org/wiki/PlagScan

    PlagScan is offered as a Software as a Service and as an on-premise solution. Users can either register as a single user or as an organization. Upon first-time registration, single users receive a free test credit and can purchase additional credits for future submissions, after the completion of a satisfactory trial.

  7. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.

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