Translation and analysis of words by ChatGPT artificial intelligence
On this page you can get a detailed analysis of a word or phrase, produced by the best artificial intelligence technology to date:
- how the word is used
- frequency of use
- it is used more often in oral or written speech
- word translation options
- usage examples (several phrases with translation)
- etymology
What (who) is digram frequency cryptanalysis - definition
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![First page of [[Al-Kindi]]'s 9th century ''Manuscript on Deciphering Cryptographic Messages''](https://commons.wikimedia.org/wiki/Special:FilePath/Al-kindi-cryptanalysis.png?width=200 "First page of [[Al-Kindi]]'s 9th century ''Manuscript on Deciphering Cryptographic Messages''")
![[[Arabic Letter Frequency]] distribution](https://commons.wikimedia.org/wiki/Special:FilePath/HurufUNCsort.png?width=200 "[[Arabic Letter Frequency]] distribution")
![Complete spectrum of [[electromagnetic radiation]] with the visible portion highlighted](https://commons.wikimedia.org/wiki/Special:FilePath/EM spectrum.svg?width=200 "Complete spectrum of [[electromagnetic radiation]] with the visible portion highlighted")
![Hz]]](https://commons.wikimedia.org/wiki/Special:FilePath/Pendulum-no-text.gif?width=200 "Hz]]")
![The [[sound wave]] spectrum, with rough guide of some applications](https://commons.wikimedia.org/wiki/Special:FilePath/Ultrasound range diagram.svg?width=200 "The [[sound wave]] spectrum, with rough guide of some applications")
Wikipedia
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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.
Frequency analysis is based on the fact that, in any given stretch of written language, certain letters and combinations of letters occur with varying frequencies. Moreover, there is a characteristic distribution of letters that is roughly the same for almost all samples of that language. For instance, given a section of English language, E, T, A and O are the most common, while Z, Q, X and J are rare. Likewise, TH, ER, ON, and AN are the most common pairs of letters (termed bigrams or digraphs), and SS, EE, TT, and FF are the most common repeats. The nonsense phrase "ETAOIN SHRDLU" represents the 12 most frequent letters in typical English language text.
In some ciphers, such properties of the natural language plaintext are preserved in the ciphertext, and these patterns have the potential to be exploited in a ciphertext-only attack.
