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  2. Artificial grammar learning - Wikipedia

    en.wikipedia.org/wiki/Artificial_grammar_learning

    The AI programs first adapted to simulate both natural and artificial grammar learning used the following basic structure: Given A set of grammatical sentences from some language. Find A procedure for recognizing and/or generating all grammatical sentences in that language. An early model for AI grammar learning is Wolff's SNPR System.

  3. 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]

  4. English grammar - Wikipedia

    en.wikipedia.org/wiki/English_grammar

    A Grammar of the English Language (Oxford Language Classics). Oxford University Press. p. 256. ISBN 0-19-860508-0. Curme, George O. (1925). College English Grammar, Richmond, VA, Johnson Publishing company, 414 pages. A revised edition Principles and Practice of English Grammar was published by Barnes & Noble, in 1947.

  5. QuillBot - Wikipedia

    en.wikipedia.org/wiki/QuillBot

    According to a 30 under 30 listing on Forbes, QuillBot has a user base that includes both free and premium subscribers.The listing also states that in August 2023, QuillBot was acquired by Course Hero. [5]

  6. Grammar checker - Wikipedia

    en.wikipedia.org/wiki/Grammar_checker

    A grammar checker will find each sentence in a text, look up each word in the dictionary, and then attempt to parse the sentence into a form that matches a grammar. Using various rules, the program can then detect various errors, such as agreement in tense, number, word order, and so on. It is also possible to detect some stylistic problems ...

  7. Spell checker - Wikipedia

    en.wikipedia.org/wiki/Spell_checker

    Spell checkers can use approximate string matching algorithms such as Levenshtein distance to find correct spellings of misspelled words. [1] An alternative type of spell checker uses solely statistical information, such as n-grams, to recognize errors instead of correctly-spelled words. This approach usually requires a lot of effort to obtain ...

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