02-11-2025, 10:46 PM
(02-11-2025, 09:58 PM)Bernd wrote: You are not allowed to view links. Register or Login to view.Hello quimqu!
Though I unfortunately do not understand much of your work I admire your enthusiasm!
I was surprised by the differences between Voynich A and B. Is it possible to run a test on a more fine-grained distinction of Voynichese like Rene's RZ languages? Or is the sample size too small? At least a distinction between A, B, C would be interesting. A has 12273 words, B has 19043 and C 6030 words.
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Do you think labels should be excluded? The labels in drawings probably behave differently and / or are not related.
Does Transliteration have an effect? Have you tested different VM transliterations?
And have you used similar text length in all samples? Does that have an impact?
Hello Bernd,
thank you for your support. I trully believe that data science can give us some help with the Voynich language.
Regarding your questions:
Rene's A and B could fit, but C has a very low number of words. The problem is that even if I normalize, small corpus like C give too simple graphs, and then they are usually plotted as outliers (and maybe they aren't). I am afraid that if I test, I can get some results that are not comparable to the longer texts. So I think I shouldn't, in order not to give false results.
I have not excluded labels, even if I find it logical to exclude them. I can test with and without the labels and see how different the graph is.
In my You are not allowed to view links. Register or Login to view., you will see EVA and CUVA (You are not allowed to view links. Register or Login to view.). They are not so far from each other. You can see also Currier's A and B, which are quite different.
And yes, text length has an impact. As I said before, I normalize the KPI trying to be independent from the text length, but as said, smaller corpora give lighter graphs and even if they are normalized, they are not that comparable. So I tried to keep the graphs with corpora between 20.000 and 50.000 words.
Thanks again!