01-11-2025, 02:32 PM
OK, so here are the results with Rohon, Old Portuguese, Portuguese and Chinese. I added also a part of the English version of the Materia Medica of Dioscorides.
(Jorge: I think the Portugese texts are too short and that's why they look a bit as outliers (they have only about 4000 words, and I usually work between 20k and 50k) (high modularity, low H1 entropy...) Even if I normalize the KPI, if the grafs are so different in size, I think they generate these differences.)
In the following plots I removed the Voynich versions (A, B, shuffled, CUVA) and the generated text, as we have the results in my previous post. So you can compare results with natural language texts and Voynich EVA.
(Jorge: I think the Portugese texts are too short and that's why they look a bit as outliers (they have only about 4000 words, and I usually work between 20k and 50k) (high modularity, low H1 entropy...) Even if I normalize the KPI, if the grafs are so different in size, I think they generate these differences.)
In the following plots I removed the Voynich versions (A, B, shuffled, CUVA) and the generated text, as we have the results in my previous post. So you can compare results with natural language texts and Voynich EVA.