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  2. 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.

  3. Reverso (language tools) - Wikipedia

    en.wikipedia.org/wiki/Reverso_(language_tools)

    Reverso is a French company specialized in AI-based language tools, translation aids, and language services. [2] These include online translation based on neural machine translation (NMT), contextual dictionaries, online bilingual concordances , grammar and spell checking and conjugation tools.

  4. Grammar checker - Wikipedia

    en.wikipedia.org/wiki/Grammar_checker

    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 any 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 ...

  5. Word embedding - Wikipedia

    en.wikipedia.org/wiki/Word_embedding

    In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]

  6. English grammar - Wikipedia

    en.wikipedia.org/wiki/English_grammar

    The first published English grammar was a Pamphlet for Grammar of 1586, written by William Bullokar with the stated goal of demonstrating that English was just as rule-based as Latin. Bullokar's grammar was faithfully modeled on William Lily's Latin grammar, Rudimenta Grammatices (1534), used in English schools at that time, having been ...

  7. Center embedding - Wikipedia

    en.wikipedia.org/wiki/Center_embedding

    The linguist Fred Karlsson provided empirical evidence in 2007 that the maximal degree of multiple center-embedding of clauses is exactly 3 in written language. He provided thirteen genuine examples of this type from various Indo-European languages (Danish, English, German, Latin, Swedish). No real examples of degree 4 have been recorded.

  8. Wikipedia:Spellchecking - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Spellchecking

    Many office suites, such as Microsoft Office and LibreOffice, are equipped with spelling and grammar checkers that are on by default.Open the Wikipedia article, select "edit" from the menu atop the page or section, select and copy the article source, paste it into a Word or Writer document, follow the red (spelling) and green (grammar) markers, and correct mistakes as necessary.

  9. Sentence embedding - Wikipedia

    en.wikipedia.org/wiki/Sentence_embedding

    In natural language processing, a sentence embedding is a representation of a sentence as a vector of numbers which encodes meaningful semantic information. [1] [2 ...

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