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  2. Frequency analysis - Wikipedia

    en.wikipedia.org/wiki/Frequency_analysis

    Eve could use frequency analysis to help solve the message along the following lines: counts of the letters in the cryptogram show that I is the most common single letter, [2] XL most common bigram, and XLI is the most common trigram. e is the most common letter in the English language, th is the most common bigram, and the is the

  3. 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.

  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. Brown Corpus - Wikipedia

    en.wikipedia.org/wiki/Brown_Corpus

    The Brown University Standard Corpus of Present-Day American English, better known as simply the Brown Corpus, is an electronic collection of text samples of American English, the first major structured corpus of varied genres. This corpus first set the bar for the scientific study of the frequency and distribution of word categories in ...

  6. Word n-gram language model - Wikipedia

    en.wikipedia.org/wiki/Word_n-gram_language_model

    the set of 1-skip-2-grams includes all the bigrams (2-grams), and in addition the subsequences the in , rain Spain , in falls , Spain mainly , falls on , mainly the , and on plain . In skip-gram model, semantic relations between words are represented by linear combinations , capturing a form of compositionality .

  7. n-gram - Wikipedia

    en.wikipedia.org/wiki/N-gram

    Figure 1 shows several example sequences and the corresponding 1-gram, 2-gram and 3-gram sequences. Here are further examples; these are word-level 3-grams and 4-grams (and counts of the number of times they appeared) from the Google n-gram corpus. [4] 3-grams ceramics collectables collectibles (55) ceramics collectables fine (130)

  8. List of literary works by number of translations - Wikipedia

    en.wikipedia.org/wiki/List_of_literary_works_by...

    The Book of Mormon: See Origin of the Book of Mormon: 1830: 115 [15] English: 13 Asterix: René Goscinny & Albert Uderzo: 1959–present: 115 [16] (not all volumes are available in all languages) French: 14 The Quran: See History of the Quran: 650 >114 [17] [18] Classical Arabic: 15 The Way to Happiness: L. Ron Hubbard: 1980: 114 [19] English ...

  9. Trigram - Wikipedia

    en.wikipedia.org/wiki/Trigram

    Context is very important, varying analysis rankings and percentages are easily derived by drawing from different sample sizes, different authors; or different document types: poetry, science-fiction, technology documentation; and writing levels: stories for children versus adults, military orders, and recipes.