04-05-2022, 12:22 PM
As David said I think what we see in the graphs is that spaces divide voynichese into distinct vords with the familiar pre- and suffixes, clearly they are not randomly distributed. So there's no wonder entropy changes similarly to texts when removing them.
We also see that a few differences in parsing/unstacking do have a noticable impact on entropy.
Koen, do any of the latin texts you analyzed contain scribal abbreviations e.g. symbols for -us, -um, -bus, et?
It would be interesting to use such abbreviated text as control group to see how combining/unstacking glyphs in a known text changes entropy. Should be easily doable with a python script.
Still including abrreviations, ambiguities and scribal errors I do not see how adaptions in parsing could transform voynichese into a readable natural language. It just does not work like this with its strict rules, repetitions and highly similar vords.
We also see that a few differences in parsing/unstacking do have a noticable impact on entropy.
Koen, do any of the latin texts you analyzed contain scribal abbreviations e.g. symbols for -us, -um, -bus, et?
It would be interesting to use such abbreviated text as control group to see how combining/unstacking glyphs in a known text changes entropy. Should be easily doable with a python script.
Still including abrreviations, ambiguities and scribal errors I do not see how adaptions in parsing could transform voynichese into a readable natural language. It just does not work like this with its strict rules, repetitions and highly similar vords.