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  2. Grammar checker - Wikipedia

    en.wikipedia.org/wiki/Grammar_checker

    A grammar checker, in computing terms, is a program, or part of a program, that attempts to verify written text for grammatical correctness. Grammar checkers are most often implemented as a feature of a larger program, such as a word processor , but are also available as a stand-alone application that can be activated from within programs that ...

  3. QuillBot - Wikipedia

    en.wikipedia.org/wiki/QuillBot

    The QuillBot grammar checker: friend or foe of ESL student writers?/Ho Chui Chui This page was last edited on 5 December 2024, at 09:29 (UTC). Text is available under ...

  4. Grammarly - Wikipedia

    en.wikipedia.org/wiki/Grammarly

    The company initially offered a subscription-based product intended to help students improve their grammar and spelling. [5] That product was subsequently developed into a writing assistant that checks the grammar, spelling, and tone of a piece of writing. [5] [6] [7] By 2015, Grammarly had one million active daily users. [8]

  5. Ginger Software - Wikipedia

    en.wikipedia.org/wiki/Ginger_Software

    The company was founded in 2008 by Yael Karov and Avner Zangvil. Ginger Software uses the context of complete sentences to suggest corrections. [1] In December 2011, Ginger Software was one of nine projects approved by the Board of Governors of the Israel-U.S. Binational Industrial Research and Development Foundation for a funding of $8.1 ...

  6. The FTC says 'gamified' online job scams by WhatsApp and text ...

    www.aol.com/ftc-says-gamified-online-job...

    The Federal Trade Commission said there were no task scams in 2020, there were 5,000 in 2023 and then task scams quadrupled by the first half of 2024.

  7. Paraphrasing (computational linguistics) - Wikipedia

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

    The autoencoder is trained to reproduce every vector in the full recursion tree, including the initial word embeddings. Given two sentences W 1 {\displaystyle W_{1}} and W 2 {\displaystyle W_{2}} of length 4 and 3 respectively, the autoencoders would produce 7 and 5 vector representations including the initial word embeddings.

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