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.

Frequency

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.

Typical cryptanalytic frequency analysis finds that the 16 most common character-level trigrams in English are:[1][2]

Rank[1]TrigramFrequency[3]
(Different source)
1the1.81%
2and0.73%
3tha0.33%
4ent0.42%
5ing0.72%
6ion0.42%
7tio0.31%
8for0.34%
9nde
10has
11nce
12edt
13tis
14oft0.22%
15sth0.21%
16men

Because encrypted messages sent by telegraph often omit punctuation and spaces, cryptographic frequency analysis of such messages includes trigrams that straddle word boundaries. This causes trigrams such as "edt" to occur frequently, even though it may never occur in any one word of those messages.

Examples

The sentence "the quick red fox jumps over the lazy brown dog" has the following word-level trigrams:

the quick red
quick red fox
red fox jumps
fox jumps over
jumps over the
over the lazy
the lazy brown
lazy brown dog

And the word-level trigram "the quick red" has the following character-level trigrams (where an underscore "_" marks a space):

the
he_
e_q
_qu
qui
uic
ick
ck_
k_r
_re
red
gollark: You now have to devote a *lot* of resources from stopping people from trying to trade with each other.
gollark: I'd really prefer a government which does as little as possible, as governments have *repeatedly* shown themselves to be incapable of efficiently and sanely doing anything.
gollark: How do I propose a ruleā„¢?
gollark: Yes, clever.
gollark: So you also have suborganizations trading with *each other*?

References

  1. Lewand, Robert (2000). Cryptological Mathematics. The Mathematical Association of America. p. 37. ISBN 978-0-88385-719-9.
  2. Linton, Tom (2001). "Relative Frequencies of Letters in General English Plain text". Central College. Cryptography (Spring ed.). Archived from the original on January 22, 2007.
  3. "English Letter Frequencies". Practical Cryptography.
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