Hypervector Analysis of the Voynich Manuscript

[-JKP-]

A hypervector was generated for each language. They are shown compared on the plot. You didn't read the linked article. I wrote:

Now we apply Kanerva’s theory. Assign random hypervectors to the twenty six letters of the alphabet and a space character. Parse any large text sample with a sliding three letter window, building a series of trigrams. Combining the trigrams yields a hyperdimensional vector signature for the text sample. Languages which are similar will have hypervectors close together. (Like the previous V and W vectors) Dissimilar languages will have orthogonal vectors.

Yes, I did read the article. Twice. But EVA is not an alphabet and it is not Voynichese. It is a mnemonic system based on common Latin characters.

I find your graph interesting even without the Voynich-related data, but it's not a graph that includes Voynichese, it's a graph that includes a mnemonic transmutation of Voynichese intentionally made more similar to natural language so that it is easier to type, read, and remember.

Additionally, EVA makes assumptions about which glyphs and symbols are singles and which are ligatures

That's fine, the position of EVAchese on the language graph might be useful information, but it's important to label it in a way that makes it clear that it's not Voynichese. It's EVAchese. Voynichese might end up somewhere else on the graph. It probably wouldn't be far away from EVAchese (specifically Takahashi EVAchese), but it still might be different.