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  2. 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 ...

  3. Word sense - Wikipedia

    en.wikipedia.org/wiki/Word_sense

    In linguistics, a word sense is one of the meanings of a word. For example, a dictionary may have over 50 different senses of the word "play", each of these having a different meaning based on the context of the word's usage in a sentence, as follows: We went to see the play Romeo and Juliet at the theater.

  4. LanguageTool - Wikipedia

    en.wikipedia.org/wiki/LanguageTool

    LanguageTool does not check a sentence for grammatical correctness, but whether it contains typical errors. Therefore, it is easy to invent ungrammatical sentences that LanguageTool will still accept.

  5. List of linguistic example sentences - Wikipedia

    en.wikipedia.org/wiki/List_of_linguistic_example...

    If separating words using spaces is also permitted, the total number of known possible meanings rises to 58. [38] Czech has the syllabic consonants [r] and [l], which can stand in for vowels. A well-known example of a sentence that does not contain a vowel is Strč prst skrz krk, meaning "stick your finger through the neck."

  6. 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]

  7. Word-sense disambiguation - Wikipedia

    en.wikipedia.org/wiki/Word-sense_disambiguation

    For each context window, MSSA calculates the centroid of each word sense definition by averaging the word vectors of its words in WordNet's glosses (i.e., short defining gloss and one or more usage example) using a pre-trained word-embedding model. These centroids are later used to select the word sense with the highest similarity of a target ...

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