(18-02-2026, 09:37 AM)Jorge_Stolfi wrote: You are not allowed to view links. Register or Login to view.Unless the Author decided to revise his spelling system at some point. Or decided to write in Northwest Low Central Bavarian instead of North-Central High West Bavarian. Or he copied the text of each section from a different book, and some of those source books were in Elfdalian, some in Gutnish. Or ...
All the best, --stolfi
These alternatives obviously cannot explain the single unified network for the Voynich "connecting 6796 out of 8026 words (=84.67 %)" [Timm & Schinner 2020, p. 4]. The network graphs show all frequently used words are connected to each other in one network [see You are not allowed to view links. Register or Login to view.].
Even more critically is the frequency-connectivity correlation "High-frequency tokens also tend to have high numbers of similar words" [Timm & Schinner 2020, p. 6].
Both features are predicted by self-citation through a feedback loop: frequent words have a higher chance of being copied, creating more similar word variants. The existence of more similar words in the text increases the chance that more instances of that group of words are created. This self-reinforcing process explains why knowing the most frequent word in a particular section allows you to predict which bigrams are most frequently used there.