Automated Topic Analysis of the Voynich Manuscript

[quimqu]

That’s why, in natural language data, you normally get cloud-like clusters (similar topics grouped together), but in the Voynich, the result is very different: the points form continuous lines. That suggests that each paragraph is most similar to the next and previous one, like a chain or trajectory.

So, if this result is correct, it can imply that each paragraph is somehow built using the previous paragraph? Something like self-citation or similar methods?

Not exatcly. I need to understand anf find the sequence. Note that the UMAPS shown are not directly calculated with the original words, but wit the topic distribution of the paragraph. We have two topics, but it seems that the distributions are moving from a paragraph to the other.