Generators and Positional Tendencies
#2
I'm not sure I understand the question. It's trivial to adjust a generator to create any positional dependency. As far as I can see, most (all?) generator theories do not really explain anything. I've yet to see a generator theory that would go "so, they implemented this complex system that randomly selects chunks from N lists, because..." Mostly they just attempt to replicate Voynichese using some algorithm. I think I can easily adjust any of the generative algorithms to create a similarity of these positional dependencies, but what for? Some generator theories show that certain features "naturally follow" from certain set of rules, but this again doesn't explain anything, because the set of rules remains absolutely arbitrary and no rationale for its existence is ever provided, at least in most cases. I can't say I have reviewed every generator theory out there. So, I'd say generator theories can trivially incorporate the positional dependencies, but this won't tell us anything new.
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Generators and Positional Tendencies - by JoeyB - 01-07-2026, 06:59 PM
RE: Generators and Positional Tendencies - by oshfdk - 01-07-2026, 08:26 PM

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