A translation of 5 lines (not a solution)
I’ve written about this before: Some of the statistical peculiarities suggest that the VMS might be encrypted in reverse, likely line by line. Take, for example, the strange long-range effect of “ch” and “sh” before the “E” family on the “qo” of the next word. But there’s quite a bit more to it than that. That’s why I keep testing whether generators, among other things, work better in reverse. This test is no exception—it’s simply an attempt to force the AI to read plaintext from the VMS using a VBM cipher that’s optimized for the text but internally coherent, as already described above
(As I’ve emphasized several times, this is NOT A SOLUTION).
And indeed, it works better in reverse: Five consecutive lines (!) spanning line breaks were successfully "translated" (or, to put it more accurately and honestly: crammed

) into a comprehensible and grammatically correct sentence.
Reva = Reverse EVA:
f115v.8 madchp ydechekl rako ydechpl lotoq ydchto seechlo schtoq loesh sorocht
f115v.9 ror yechl yechkl niatoq ydoch ychtoq ydeekloch niatoch niiadch seechy
f115v.10 ydech oeeto ydechlad niiako ydoesh osh niias
f115v.11 matoq ydechpd yechtoq dechtoq lochkch lokch niiadoch liarosh rodcht
f115v.12 niiaros ydechkl ydechl deeshy
=
Wer den schweren Magen bessern will, der nehme etwan warmes Salz, dan Wasser und braue eine Weile lau, so gar, einen Essigtrank. Gib dem Kranken Beeren.
(Whosoever would mend a heavy stomach, let him take some warm salt, then water, and brew it lukewarm for a while fully into a vinegar draught. Give unto the sick man berries.)
Note: "etwan" (= somewhat/at times) and "dan" are attested 15th-century forms (etwan 3×, dan 103× in my Bavarian reference corpus; dan 18× in Ortloff, so gar = vollends - nicht "sogar")
Broken the german stream down by vowels and consonant clusters:
W-e-RD-e-NSCHW-e-R-e-NM-a-G-e-NB-e-SS-e-RNW-i-LLD-e-RN-e-HM-ee-TW-a-NW-a-RM-e-SS-a-LZD-a-NW-a-SS-e-R-u-NDBR-aueei-N-e-W-ei-L-e-L-a-∅-u-S-o-G-a-R-ei-N-e-N-e-SS-i-GTR-a-NKG-i-BD-e-MKR-a-NK-e-NB-ee-R-e-N
(∅ marks the token osh: it has no token-internal material, so it contributes an empty cluster. Normally, a maximal vowel run is assigned to one bridge (as with ee, ei). The L2 token osh is the special case here: because it has no internal core,
the vowel run au in lau is distributed across its two adjacent bridges, sh.o = a and sh.n = u.)
The vowel classification:
p.y=e | l.r=e | o.y=e | l.l=e | q.y=a | o.s=e | q.l=e | sh.s=i | t.r=e | r.y=e | l.y=ee | l.n=a | ch.y=e | ch.n=a | ch.s=e | y.y=u | ch.o=aueei | d.n=ei | sh.o=a | sh.n=u | s.m=o | d.y=ei | q.d=e | ch.l=i | sh.r=e | t.n=a | s.y=e | l.d=e
Multiple Use (all consistent):
q.y=a = 4×
o.y=e = 3×
ch.n=a = 3×
o.s=e = 2×
q.l=e = 2×
ch.l=i = 2×
l.y=ee = 2×
Remaining weak spot: ch.o=aueei — a single bridge carrying the whole vowel run of "br
aue eine". Internally consistent with the scheme (every maximal vowel group = one bridge, same as ee, ei), but clearly not a good choise.
Consonants:
adch=w | dechek=rd | ak=nschw | dechp=r | oto=nm | dcht=g | eechl=nb | chto=ss | oe=rnw | oroch=lld | o=rn | ech=hm | echk=tw | iato=nw | do=rm | chto=ss | deeklo=lzd | iato=nw | iiad=ss | eech=r | de=ndbr | eet=n | dechla=w | iiak=l | doe=l | osh=∅ | iia=s | ato=g | dechp=r | echto=n | echto=n | ochk=ss | ok=gtr | iiado=nkg | iaro=bd | odch=mkr | iiaro=nk | dechk=nb | dech=r | eesh=n
Multiple Use (all consistent):
chto=ss = 2×
dechp=r = 2×
echto=n = 2×
iato=nw = 2×
The actual conclusion from this small example is as follows:
Of course, this arrangement has weaknesses, which I also recognize, including too many degrees of freedom and other issues. But the point isn’t that this is already the actual translation. It’s about something else:
With a consistent vowel bridge/core scheme, it’s actually possible to create a coherent German text spanning multiple lines—without having to completely reinvent the system after every line!
This proves that the mechanics of the Vowel Bridge Model are fundamentally powerful enough to construct meaningful plain text from the VMS, even across multiple lines.
This example also demonstrates that the statistical peculiarities of VMS (such as its peculiar entropy or rigid word architecture) do not necessarily contradict the existence of a genuine human language.
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And if you also show that this model is capable of translating such stange strings like:
<f75r.13,+P0> pchedy.keedy.
qokedy.qokedy.qokedy.qokedy.qokain.olshedy
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The VMS can quite simply be a coded language, and the VBM could, in principle, be the system behind it.