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  2. Word n-gram language model - Wikipedia

    en.wikipedia.org/wiki/Word_n-gram_language_model

    A special case, where n = 1, is called a unigram model.Probability of each word in a sequence is independent from probabilities of other word in the sequence. Each word's probability in the sequence is equal to the word's probability in an entire document.

  3. Bag-of-words model - Wikipedia

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

    The bag-of-words model (BoW) is a model of text which uses a representation of text that is based on an unordered collection (a "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity.

  4. Word list - Wikipedia

    en.wikipedia.org/wiki/Word_list

    A word list (or lexicon) is a list of a language's lexicon (generally sorted by frequency of occurrence either by levels or as a ranked list) within some given text corpus, serving the purpose of vocabulary acquisition.

  5. Document-term matrix - Wikipedia

    en.wikipedia.org/wiki/Document-term_matrix

    Each ij cell, then, is the number of times word j occurs in document i. As such, each row is a vector of term counts that represents the content of the document corresponding to that row. For instance if one has the following two (short) documents: D1 = "I like databases" D2 = "I dislike databases", then the document-term matrix would be:

  6. Letter frequency - Wikipedia

    en.wikipedia.org/wiki/Letter_frequency

    The California Job Case was a compartmentalized box for printing in the 19th century, sizes corresponding to the commonality of letters. The frequency of letters in text has been studied for use in cryptanalysis, and frequency analysis in particular, dating back to the Arab mathematician al-Kindi (c. AD 801–873 ), who formally developed the method (the ciphers breakable by this technique go ...

  7. Google Books Ngram Viewer - Wikipedia

    en.wikipedia.org/wiki/Google_Books_Ngram_Viewer

    The n-grams are matched with the text within the selected corpus, and if found in 40 or more books, are then displayed as a graph. [6] The Google Books Ngram Viewer supports searches for parts of speech and wildcards. [6] It is routinely used in research. [7] [8]

  8. The 6 most common headache types — and when to see a doctor

    www.aol.com/6-most-common-headache-types...

    "Cluster headaches usually last from 15 minutes to three hours and tend to occur in cycles lasting days or weeks," he said. Cluster headaches are commonly misdiagnosed as migraines.

  9. Document type definition - Wikipedia

    en.wikipedia.org/wiki/Document_Type_Definition

    a mixed content, which means that the content may include at least one text element and zero or more named elements, but their order and number of occurrences cannot be restricted; this can be: (#PCDATA): historically meaning parsed character data, this means that only one text element is allowed in the content (no quantifier is allowed);