(27-09-2022, 07:15 PM)RobGea wrote: You are not allowed to view links. Register or Login to view.If some computer program were created, call it the 'Voynichese Verifier'
It would quantify how much some text was comparable to voynichese[#1].
what would be the minmum requirements for the code to check ?
-check all words against voynichese dictionary
-entropy levels
What else?
Note#1
Obviously it would not be 100% as voynichese is an unknown but it would be consistent and work as a rough guide
For instance, if you wanted to compare the output of Timm&Schinners 'self-citation' method Vs Mike Roes generic word.
I can describe what I have used, without claiming that it is the best method.
I have computed the similarity of bigram distributions. These are basically the (approx.) 25 * 25 numbers that make up the colourful square pictures on You are not allowed to view links. Register or Login to view. , and which add up to one. Works by far the best if spaces are included in the frequencies. (Word length distribution is then also partially captured).
For the similarity, I used the You are not allowed to view links. Register or Login to view., which is between 0 and 1, where higher values mean greater similarity. The characters have to be sorted from high to low individual character frequency. One can force the space character to be in the first position, but usually this is where it ends up anyway.
This is sensitive enough to notice the differences between the Currier languages and their dialects.


![[+]](https://www.voynich.ninja/images/collapse_collapsed.png)