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  2. 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.

  3. EAngel - Wikipedia

    en.wikipedia.org/wiki/EAngel

    eAngel is an online company founded in 2012 that provides proofreading services for professional and personal emails. [1] [2] eAngel hires human proofreaders to proofread in five languages, English, Spanish, French, German and Hebrew.

  4. Copy editing - Wikipedia

    en.wikipedia.org/wiki/Copy_editing

    Example of non-professional copy editing in progress [1]. Copy editing (also known as copyediting and manuscript editing) is the process of revising written material ("copy") to improve quality and readability, as well as ensuring that a text is free of errors in grammar, style, and accuracy.

  5. Proofreading - Wikipedia

    en.wikipedia.org/wiki/Proofreading

    Proofreading is a phase in the process of publishing where galley proofs are compared against the original manuscripts or graphic artworks, to identify transcription errors in the typesetting process. [1] [2] In the past, proofreaders would place corrections or proofreading marks along the margins. [3]

  6. Distributed Proofreaders - Wikipedia

    en.wikipedia.org/wiki/Distributed_Proofreaders

    On 8 November 2002, Distributed Proofreaders was slashdotted, [7] [8] and more than 4,000 new members joined in one day, causing an influx of new proofreaders and software developers, which helped to increase the quantity and quality of e-text production. In July 2015, the 30,000th Distributed Proofreaders produced e-text was posted to Project ...

  7. LanguageTool - Wikipedia

    en.wikipedia.org/wiki/LanguageTool

    The core app itself is free and open-source and can be downloaded for offline use. Some languages use ' n-gram ' data, [ 7 ] which is massive and requires considerable processing power and I/O speed, for some extra detections.

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