Hypervector Analysis of the Voynich Manuscript

[-JKP-]

Here you go.

Full details of my implementation at this link: You are not allowed to view links. Register or Login to view.

Thank you. This is very helpful.

Okay... I could follow this through and replicate it but... I am always strapped for time and I frequently have to work weekends (I am running a business and global commerce means customers message me every hour of the day and night) so... since you already have this set up, could you try this? The results might be helpful...


Take your plaintext VMS file and make the following adjustments (this more closely simulates the shapes of VMS glyphs)...

Scenario #1: 

Change EVA-c (the long-cee) to Capital C (this makes space for the next transformation so it doesn't over-write the first one)
Change EVA-e to lowercase c
Change EVA-v to the caret symbol
Change EVA-n to v

These are minimal substitutions that don't alter anything in terms of representing VMS glyphs, but they might provide a feel for how much the transliteration system itself influences where VMS falls in the graph (it may only move slightly, but it will help to visualize this mathematically). Think of it as a simple baseline check.


Scenario #2:

I don't think we can ignore the fact that there are 9 VMS glyphs that could potentially represent numbers as they were drawn in the medieval period (o i s q l r v d y). This is without counting the possibility of numbers in the style of Roman numerals (constructed with minims, etc.). But your study is primarily linguistic, so we'll put that on the table for now.


Scenario #3:

This is more theoretical, but since a large number of solvers have described the VMS text as Latin, and since it includes many Latin characters of the same shapes and positions, here is something that might be worth trying just to see where it ends up on the graph. This is based on an assumption, the assumption that the VMS glyphs that are shaped as abbreviations actually are abbreviations and need to be expanded in order to represent all the letters.

Change EVA-c (the long-cee) to Capital C (this makes space for the next transformation so it doesn't over-write the first one)
Change EVA-e to lowercase c
Change EVA-v to the caret symbol
Change EVA-n to v
(The above are the same as scenario #1)

Change EVA-r to er
Change EVA-m to ris
Change EVA-g to cis
Change EVA-q to con
Change EVA-s to cir
Change EVA-p to pro
Change EVA-f to per
Change EVA-y to um

This is a simplistic mapping (and even if the VMS has abbreviations, they are not necessarily mapped the same way). In actual fact, Latin abbreviations (which were similar in most western languages) have more than one expansion (they are very flexible), but since the expansions tend to be similar in terms of which letters they represent, this might tease out a pattern.


Once again, thank you for the fuller explanation of your methodology. I have always been interested in the many aspects of data visualization (and was fractal-obsessed in my university years) but have not had much time to pursue it.