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  2. Bigram - Wikipedia

    en.wikipedia.org/wiki/Bigram

    A bigram or digram is a sequence of two adjacent elements from a string of tokens, which are typically letters, syllables, or words.A bigram is an n-gram for n=2.. The frequency distribution of every bigram in a string is commonly used for simple statistical analysis of text in many applications, including in computational linguistics, cryptography, and speech recognition.

  3. Frequency analysis - Wikipedia

    en.wikipedia.org/wiki/Frequency_analysis

    e is the most common letter in the English language, th is the most common bigram, and the is the most common trigram. This strongly suggests that X ~ t , L ~ h and I ~ e . The second most common letter in the cryptogram is E ; since the first and second most frequent letters in the English language, e and t are accounted for, Eve guesses that ...

  4. 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 ...

  5. Talk:Bigram - Wikipedia

    en.wikipedia.org/wiki/Talk:Bigram

    Thanks. You are right in saying that the number of bigrams in a sequence of n letters is (n-1). But that does not answer the question on how the numbers given in the article are to be interpreted. The article says "The most common letter bigrams in the English language are listed below, with the expected number of occurrences per 200 letters.

  6. n-gram - Wikipedia

    en.wikipedia.org/wiki/N-gram

    1,000,000 most frequent 2,3,4,5-grams from the 425 million word Corpus of Contemporary American English; Peachnote's music ngram viewer; Stochastic Language Models (n-Gram) Specification (W3C) Michael Collins's notes on n-Gram Language Models; OpenRefine: Clustering In Depth

  7. Word n-gram language model - Wikipedia

    en.wikipedia.org/wiki/Word_n-gram_language_model

    Formally, a k-skip-n-gram is a length-n subsequence where the components occur at distance at most k from each other. For example, in the input text: the rain in Spain falls mainly on the plain. the set of 1-skip-2-grams includes all the bigrams (2-grams), and in addition the subsequences

  8. Google Books Ngram Viewer - Wikipedia

    en.wikipedia.org/wiki/Google_Books_Ngram_Viewer

    [1] [2] [5] There are also some specialized English corpora, such as American English, British English, and English Fiction. [6] The program can search for a word or a phrase, including misspellings or gibberish. [5] 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 ...

  9. Talk:Letter frequency - Wikipedia

    en.wikipedia.org/wiki/Talk:Letter_frequency

    The average word length in English text is 4.79 letters per word, the most common word length in English text is 3 letters per word. The average word length for *distinct* English words is 7.60 letters long, the most common word length for *distinct* English words is 7 letters. Both appear to be approximately a Poisson distribution.