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  2. Text messaging - Wikipedia

    en.wikipedia.org/wiki/Text_messaging

    The word "lol" sent via iMessage. Text messaging, or texting, is the act of composing and sending electronic messages, typically consisting of alphabetic and numeric characters, between two or more users of mobile devices, desktops / laptops, or another type of compatible computer. Text messages may be sent over a cellular network or may also ...

  3. Ellipsis - Wikipedia

    en.wikipedia.org/wiki/Ellipsis

    The ellipsis ... ( / əˈlɪpsɪs / ), a.k.a. suspension point, suspension, points of ellipsis, periods of ellipsis, or colloquially dot-dot-dot, [1] [2] is a punctuation mark consisting of a series of three dots. An ellipsis is used to many ways including intentional omission of text or to imply a concept without using words.

  4. 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. The sense count does not include the use of terms in phrasal verbs such as "put out" (as in ...

  5. Microsoft Word - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Word

    Microsoft Word is a word processor developed by Microsoft.It was first released on October 25, 1983, under the name Multi-Tool Word for Xenix systems. Subsequent versions were later written for several other platforms including: IBM PCs running DOS (1983), Apple Macintosh running the Classic Mac OS (1985), AT&T UNIX PC (1985), Atari ST (1988), OS/2 (1989), Microsoft Windows (1989), SCO Unix ...

  6. Word embedding - Wikipedia

    en.wikipedia.org/wiki/Word_embedding

    In natural language processing (NLP), 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]

  7. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    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 ...

  8. Bag-of-words model - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model

    Bag-of-words model. The bag-of-words model is a model of text which uses a representation of text that is based on an unordered collection (or "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus any non-trivial notion of grammar [clarification needed]) but captures ...

  9. Gloss (annotation) - Wikipedia

    en.wikipedia.org/wiki/Gloss_(annotation)

    Gloss (annotation) A gloss is a notation regarding the main text in a document. Shown is a parchment page from the Royal Library of Copenhagen. A gloss is a brief notation, especially a marginal or interlinear one, of the meaning of a word or wording in a text. It may be in the language of the text or in the reader's language if that is different.