Automated Topic Analysis of the Voynich Manuscript

[quimqu]

the punctuation for language A is 3 times the punctuation for language B

Punctuation? Do you mean cumulative weight or number of words or some other metric?

Yes, the model gives punctuation (a score) for the words within each topic. Some words have more weight than others. That's why I get the % relation of language A and language B (the barplots). Note that there are words that are shared within both topics, but they weight more in one topic than the other. Look here for example:

   

You can see that "dy" appears in both languages, but it weights much more in language A ("dy" appearance score for language B is roughly 90 but for language A is almost 160). I also mark the shared words with both colors (take a look at "dy" or "otar" that the color is mixed). "chedy" is purely language B and the color is unique.