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  2. Grammarly - Wikipedia

    en.wikipedia.org/wiki/Grammarly

    Grammarly is a writing assistant. It reviews the spelling, grammar, and tone of a piece of writing as well as identifying possible instances of plagiarism . It can also can suggest style and tonal recommendations to users and produce writing from prompts with its generative AI capabilities.

  3. Grammar checker - Wikipedia

    en.wikipedia.org/wiki/Grammar_checker

    One of the most important parts of a natural language grammar checker is a dictionary of all the words in the language, along with the part of speech of each word. The fact that a natural word may be used as any one of several parts of speech (such as "free" being used as an adjective, adverb, noun, or verb) greatly increases the complexity of ...

  4. Word count - Wikipedia

    en.wikipedia.org/wiki/Word_count

    Word count is commonly used by translators to determine the price of a translation job. Word counts may also be used to calculate measures of readability and to measure typing and reading speeds (usually in words per minute). When converting character counts to words, a measure of 5 or 6 characters to a word is generally used for English. [1]

  5. Turnitin - Wikipedia

    en.wikipedia.org/wiki/Turnitin

    [9] [10] This has happened when students use the grammar-correcting software Grammarly, which is recommended for student use by many schools. [11] [12] [13] Turnitin says that they believe about 1% of the papers they flag as AI-written were actually written by humans, and that a much higher rate is generated by AI but not flagged. [6] [14]

  6. Longest word in English - Wikipedia

    en.wikipedia.org/wiki/Longest_word_in_English

    The word teetertotter (used in North American English) is longer at 12 letters, although it is usually spelled with a hyphen. The longest using only the middle row is shakalshas (10 letters). Nine-letter words include flagfalls; eight-letter words include galahads and alfalfas. Since the bottom row contains no vowels, no standard words can be ...

  7. Content similarity detection - Wikipedia

    en.wikipedia.org/wiki/Content_similarity_detection

    Bag of words analysis represents the adoption of vector space retrieval, a traditional IR concept, to the domain of content similarity detection. Documents are represented as one or multiple vectors, e.g. for different document parts, which are used for pair wise similarity computations.

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