Interesting result for f3r with an ngram Genetic Algorithm
#24
The two attached histograms are based on the length of word occurrences (not word "types" as in Rene's graph discussed above).

Latin has a spike for words 2 characters long. These correspond to a number of hugely frequent particles like prepositions (in, ex, ab, de...), conjunctions  (et, ac...), pronouns (id, tu, me...). 
Latin also has a long tail of long words, which of course get less frequent with the growing of length. In the vulgate, 9% of the words are 10 or more characters long.

Voynichese has a simpler distribution, with a single peak corresponding to length 5 (corresponding to the central, but secondary, peak for Latin). Long words are rarer: less than 1% are 10 or more characters long.

The mapping from Voynichese to Latin should stretch the histogram in two opposite directions, possibly by making short words shorter and long words longer.


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RE: Interesting result for f3r with an ngram Genetic Algorithm - by MarcoP - 01-12-2017, 05:57 PM

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