Last edited on 1998-07-15 23:18:24 by stolfi
Manipulated latin
- In Principio Creavit
The Vulgate Bible Genesis Chapters 1-25
[ full ]
[ page ]
More of the same. I don't see anything
worth commenting here...
l = 1 r = 0
[ colorized page ]
[ bits per tuple ]
l = 2 r = 0
[ colorized page ]
[ bits per tuple ]
l = 3 r = 0
[ colorized page ]
[ bits per tuple ]
l = 1 r = 1
[ colorized page ]
[ bits per tuple ]
- I Dain Pri Dain
G. Landini's "dain daiin" mapping of the Vulgate Genesis
[ full ]
[ page ]
This text is the result of an
experiment by Gabriel Landini. The goal was to imitate the
entropy and wordlength distribution of Voynichese, by
subjecting a Latin text to a letter substitution where the
replacement texts contained word breaks. This sample used
specifically the substitution "u"-->"ii",
"n"-->" dain ",
"m"-->" daiin ".
As expected, the dains
and daiins are very predictable once they
start, and managed to push the entropy h3 the
low levels (around 2.0) characteristic of Voynichese.
l = 1 r = 0
[ colorized page ]
[ bits per tuple ]
l = 2 r = 0
[ colorized page ]
[ bits per tuple ]
l = 3 r = 0
[ colorized page ]
[ bits per tuple ]
l = 1 r = 1
[ colorized page ]
[ bits per tuple ]
- In Cinipipor Caretiv
René Zandbergen's word-scrambling of the Vulgate Genesis
[ full ]
[ page ]
In this version of the Vulgate Bible,
the letters in each word were scrambled in a way that
would reduce the second-order entropy h2,
without changing h0 or h1.
In his words:
Take a word (e.g. latin) and
split into vowels and consonants. Then interleave these,
both in alphabetical order so:
latin ->
(a,i) +
(l,n,t) ->
lanit
... beginning with the set with most elements.
This was driven by the observation that Voynichese seems
to have something like 'vowel-consonant' harmony.
Keep in mind that the entropies shown
at the bottom of each page are overestimated, because of the
relatively small sample and large "a priori" alphabet size
built into my formulas. René reports that his transformation
reduced h2 from 2.5 to 2.1; my numbers are
3.3 and 3.0, respectively.
l = 1 r = 0
[ colorized page ]
[ bits per tuple ]
l = 2 r = 0
[ colorized page ]
[ bits per tuple ]
l = 3 r = 0
[ colorized page ]
[ bits per tuple ]
l = 1 r = 1
[ colorized page ]
[ bits per tuple ]