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  2. Trigram - Wikipedia

    en.wikipedia.org/wiki/Trigram

    Trigrams are a special case of the n-gram, where n is 3. They are often used in natural language processing for performing statistical analysis of texts and in cryptography for control and use of ciphers and codes .

  3. 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 ...

  4. n-gram - Wikipedia

    en.wikipedia.org/wiki/N-gram

    (Shannon 1951) [3] discussed n-gram models of English.For example: 3-gram character model (random draw based on the probabilities of each trigram): in no ist lat whey cratict froure birs grocid pondenome of demonstures of the retagin is regiactiona of cre

  5. Trigram search - Wikipedia

    en.wikipedia.org/wiki/Trigram_search

    Using trigrams for accelerating searches is a technique used in some systems for code searching, in situations in which queries that are regular expressions may be useful, [5] [2] [7] in search engines such as Elasticsearch, [8] as well as in databases such as PostgreSQL.

  6. Bagua - Wikipedia

    en.wikipedia.org/wiki/Bagua

    The bagua (Chinese: 八卦; pinyin: bāguà; lit. 'eight trigrams') is a set of symbols from China intended to illustrate the nature of reality as being composed of mutually opposing forces reinforcing one another. Bagua is a group of trigrams—composed of three lines, each either "broken" or "unbroken", which represent yin and yang ...

  7. Word n-gram language model - Wikipedia

    en.wikipedia.org/wiki/Word_n-gram_language_model

    n-grams find use in several areas of computer science, computational linguistics, and applied mathematics. They have been used to: design kernels that allow machine learning algorithms such as support vector machines to learn from string data [citation needed] find likely candidates for the correct spelling of a misspelled word [14]

  8. Frequency analysis - Wikipedia

    en.wikipedia.org/wiki/Frequency_analysis

    Weak ciphers do not sufficiently mask the distribution, and this might be exploited by a cryptanalyst to read the message. In cryptanalysis, frequency analysis (also known as counting letters) is the study of the frequency of letters or groups of letters in a ciphertext. The method is used as an aid to breaking classical ciphers.

  9. Bag-of-words model - Wikipedia

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

    Despite this lack of syntax or grammar, BoW representation is fast and may be sufficient for simple tasks that do not require word order. For instance, for document classification, if the words "stocks" "trade" "investors" appears multiple times, then the text is likely a financial report, even though it would be insufficient to distinguish between