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  2. WordNet - Wikipedia

    en.wikipedia.org/wiki/WordNet

    WordNet is the most commonly used computational lexicon of English for word-sense disambiguation (WSD), a task aimed at assigning the context-appropriate meanings (i.e. synset members) to words in a text. [14] However, it has been argued that WordNet encodes sense distinctions that are too fine-grained.

  3. Thesaurus - Wikipedia

    en.wikipedia.org/wiki/Thesaurus

    Thesaurus. A thesaurus (pl.: thesauri or thesauruses), sometimes called a synonym dictionary or dictionary of synonyms, is a reference work which arranges words by their meanings (or in simpler terms, a book where one can find different words with similar meanings to other words), [1][2] sometimes as a hierarchy of broader and narrower terms ...

  4. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    v. t. e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect ...

  5. Key Word in Context - Wikipedia

    en.wikipedia.org/wiki/Key_Word_in_Context

    Key Word in Context. Key Word In Context (KWIC) is the most common format for concordance lines. The term KWIC was coined by Hans Peter Luhn. [1] The system was based on a concept called keyword in titles, which was first proposed for Manchester libraries in 1864 by Andrea Crestadoro. [2]

  6. Synonym - Wikipedia

    en.wikipedia.org/wiki/Synonym

    A synonym is a word, morpheme, or phrase that means precisely or nearly the same as another word, morpheme, or phrase in a given language. [2] For example, in the English language, the words begin, start, commence, and initiate are all synonyms of one another: they are synonymous. The standard test for synonymy is substitution: one form can be ...

  7. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  8. Lexical analysis - Wikipedia

    en.wikipedia.org/wiki/Lexical_analysis

    Lexical tokenization is related to the type of tokenization used in large language models (LLMs) but with two differences. First, lexical tokenization is usually based on a lexical grammar, whereas LLM tokenizers are usually probability -based. Second, LLM tokenizers perform a second step that converts the tokens into numerical values.

  9. Roget's Thesaurus - Wikipedia

    en.wikipedia.org/wiki/Roget's_Thesaurus

    Roget's Thesaurus is composed of six primary classes. [5] Each class is composed of multiple divisions and then sections. This may be conceptualized as a tree containing over a thousand branches for individual "meaning clusters" or semantically linked words. Although these words are not strictly synonyms, they can be viewed as colours or ...