15-03-2026, 09:42 AM
Thanks @nablator, after reading through, I realised that the i/e/a consumption at 45% was insane adn wrong (consdiering ti seem most langauge have these filler words (the,of,a equivelant) at around 6.5%. After capping this to 6.5% and then going again, we're working our way back up of "guessed words" (requiring enourmous amounts of CPU usage) - using modal.com to assist in this / like google batch. Still basically brute forcing combinations of possiblities of words. I have tested this same method across most of the other potential languages now also and this method doesn't score nearly as well, using Google's Ngram books for the the reference corpus.
Will keep posted on this approach. This implies it was a word for word replacement, and since those voynich words aren't from anything (at least known) this method currently implies that it's a made up, one time pad. This may potentialy also align with the theory of why there are minimal mistakes, the text was written "in italian" and then converted into voynichese, making up words along the way and copieid into this manuscript.
It's still busily attempting as many possiblitiles as it can currently, very curious if anyone else has gone as deeply down this route.
Will keep posted on this approach. This implies it was a word for word replacement, and since those voynich words aren't from anything (at least known) this method currently implies that it's a made up, one time pad. This may potentialy also align with the theory of why there are minimal mistakes, the text was written "in italian" and then converted into voynichese, making up words along the way and copieid into this manuscript.
It's still busily attempting as many possiblitiles as it can currently, very curious if anyone else has gone as deeply down this route.