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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. Paraphrasing (computational linguistics) - Wikipedia

    en.wikipedia.org/wiki/Paraphrasing...

    Paraphrase or paraphrasing in computational linguistics is the natural language processing task of detecting and generating paraphrases. Applications of paraphrasing are varied including information retrieval, question answering , text summarization , and plagiarism detection . [ 1 ]

  4. Wikipedia:Citing Wikipedia - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Citing_Wikipedia

    Note that MLA style calls for both the date of publication (or its latest update). The "Accessed date" is now optional but could be useful for general readership not familiar with permanent links in Wikipedia (old id). Be sure to double check the exact syntax your institution requires. For citation of Wikipedia as a site, use:

  5. Wordtune - Wikipedia

    en.wikipedia.org/wiki/Wordtune

    Wordtune is an AI powered reading and writing companion capable of fixing grammatical errors, understanding context and meaning, suggesting paraphrases or alternative writing tones, and generating written text based on context. [1] [2] [3] It is developed by the Israeli AI company AI21 Labs. [4] [5] [6] [7]

  6. Wikipedia:Citing sources

    en.wikipedia.org/wiki/Wikipedia:Citing_sources

    Forms of short citations used include author-date referencing (APA style, Harvard style, or Chicago style), and author-title or author-page referencing (MLA style or Chicago style). As before, the list of footnotes is automatically generated in a "Notes" or "Footnotes" section, which immediately precedes the "References" section containing the ...

  7. Paraphrase - Wikipedia

    en.wikipedia.org/wiki/Paraphrase

    Machine learning models have been trained to generate paraphrases with specific properties, such as high semantic similarity and syntactic diversity, or to generate specific paraphrase types. [11] [12] Models that have high capacity in paraphrasing can be used for various applications. For example, the granular understanding of the linguistic ...

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