Templatic Voynich generator

[nablator]

What I'd like to see is how a text, not generated by any kind of "self-citation" algorithm, but closely modeled on the real text, compares to the VMS in terms of local similarity metrics.

Sorry if I was a little cryptic with this. What I had in mind is a generator that would naturally produce locally similar words by randomly reducing, sometimes drastically, the set of generative components, at various scales. The reduced set could be modeled on actual paragraphs/pages/sections for maximum fidelity.