Why and how the text could be Bavarian
Since, based on various reactions, I suspect that you haven’t yet fully understood how the VBM really works and why this model fits so well with the VMS—here’s an example (this isn’t the actual cipher, but just a feasibility study)


f115v.26 dcheedy kchedy lcheey ror al chokedy dol qokeeeos qolkeedy qokar ar

Processed for VBM without changing a single letter:

d [cheed] y|k [ched] y|l [chee] y|r [o] r|a Ø l|ch [oked] y|d [o] l|qo [keeeo] s|qo [lkeed] y|qo [ka] r|a r

y|k = one of the vowel bridges, with the space represented here by the vertical line.

The characters in square brackets are the consonant clusters, which are primarily determined here by the “e” family of the VMS. So we define:

d = open; left half of the bridge at the edge of the line (LAAFU)

cheed = t

y|k = i   (Vowel Bridge)

ched = zs

y|l = i  (Vowel Bridge homphone)

chee = chtr

y|r = a  (Vowel Bridge)

o = g

r|a = e  (Vowel Bridge)

al = L2, i.e., NO consonant nucleus
a belongs to r|a = e
l belongs to l|ch = u (that’s why we need these short words)

l|ch = u   (Vowel Bridge)

oked = nd

y|d = e    (Vowel Bridge)

o = g ← same value as above

l|qo = e   (Vowel Bridge)

keeeo = tn  

s|qo = i  ( Vowel Bridge homophone) 

lkeed = chtsn

y|qo = e ← an established working anchor (Vowel Bridge)

ka = ll

r|a = e ← same value as above  (Vowel Bridge)

r = open; right half of the bridge at the edge of the line (LAAFU)

t - i - zs - i - chtr - a - g - e - u - nd - e
- g - e - tn - i - chtsn - e - ll - e

Together:

TIZSICHTRAGEUNDEGETNICHTSNELLE

with clear-text word boundaries:

t | iz sich trage | unde | get nicht snelle

This is part of an original sentence from the Breslau Pharmacopoeia, which reads:

“Jdoch deuwet iz sich trage, vnde get nicht snelle uz deme libe”

In Englisch “However, it is digested slowly and does not pass quickly out of the body.”


This shows just how perfectly these vowel bridges and consonant clusters can be translated into a normal language, as long as you treat the two letters separated by a space as a vowel (bridge) and the tokens as consonant clusters. It fits perfectly—even if this example isn't the actual cipher.

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But this also highlights something else: namely, why it is so incredibly difficult—if not impossible—to determine the correct assignment of consonant clusters and vowels, especially since different vowel bridges can represent the same vowels, and consonant clusters are, after all, only fragments of the language and are likely even encoded differently depending on their length.

Still, the VBM is a model that can generate normal language from this VMS gibberish with very few assumptions, and that’s pretty crazy.
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RE: Why and how the text could be Bavarian - by JoJo_Jost - 01-09-2026, 05:56 PM

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