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  2. Polysemy - Wikipedia

    en.wikipedia.org/wiki/Polysemy

    Polysemy is distinct from monosemy, where a word has a single meaning. [3] Polysemy is distinct from homonymy—or homophony—which is an accidental similarity between two or more words (such as bear the animal, and the verb bear); whereas homonymy is a mere linguistic coincidence, polysemy is not. In discerning whether a given set of meanings ...

  3. Encoding/decoding model of communication - Wikipedia

    en.wikipedia.org/wiki/Encoding/decoding_model_of...

    However, polysemy means that the audience may create new meanings out of the text. The audience's perceived meanings may not be intended by the producers. Therefore, 'polysemy' and 'opposition' should be seen as two analytically distinct processes, although they do interconnect in the overall reading process.

  4. Monosemy - Wikipedia

    en.wikipedia.org/wiki/Monosemy

    Monosemy as a methodology for analysis is based on the recognition that almost all cases of polysemy (where a word is understood to have multiple meanings) require context in order to differentiate these supposed meanings.

  5. Category:Polysemy - Wikipedia

    en.wikipedia.org/wiki/Category:Polysemy

    Download as PDF; Printable version; In other projects Wikidata item ... Pages in category "Polysemy" The following 8 pages are in this category, out of 8 total. This ...

  6. Current Issues in Linguistic Theory - Wikipedia

    en.wikipedia.org/wiki/Current_Issues_in...

    Current Issues in Linguistic Theory is a 1964 book by American linguist Noam Chomsky.It is a revised and expanded version of "The Logical Basis of Linguistic Theory", a paper that Chomsky presented in the ninth International Congress of Linguists held in Cambridge, Massachusetts in 1962.

  7. New Horizons in Linguistics - Wikipedia

    en.wikipedia.org/wiki/New_Horizons_in_Linguistics

    This article about a book on language, linguistics or translation is a stub. You can help Wikipedia by expanding it.

  8. 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]

  9. Most common words in English - Wikipedia

    en.wikipedia.org/wiki/Most_common_words_in_English

    The number of distinct senses that are listed in Wiktionary is shown in the polysemy column. For example, "out" can refer to an escape, a removal from play in baseball, or any of 36 other concepts. On average, each word in the list has 15.38 senses.