Aanother statistical take on Voynichese

[nablator]

As for indistinguishable -> It simply means that given 2 text excerpts one in voynichese one generated you're unable to tell which is which. You're able to tell only because you've checked with known text. If I were to say here's a new text I found in this language you could not objectively prove/disprove my claim basing your judgment solely on the text itself.

If you can link me a reasonably long text sample generated by your Markov chain, say at least ten thousand words, I can run a battery of tests and tell how it compares to the original Voynich and to previous pseudo-Voynichese texts.

I tried the generator.

I have node.js already installed (with npm), but this TypeScript code needs bun.

To install it:
npm install -g bun

There is an option --show to output any number of generated words.

So for example:
bun generate.ts --section=recipes --show=11642

displays:

Code:

real corpus: 11642 words  |  Markov order 3  |  recipes generated:  11642 words metric                      REAL        GENERATED ---------------------------------------------------- char H2 (bits)              2.02        2.02 char H3 (bits)              1.75        1.78 word len mean                5.19        5.20 word len var/mean            0.63        0.75 type/token ratio            0.281        0.271 hapax % of types            68.8        67.3 immediate-repeat %          0.72        0.47 self-citation                0.676        0.648 ---------------------------------------------------- suffix(2) profile cosine real↔gen: 1.000  (1.0 = same inventory) prefix(2) profile cosine real↔gen: 1.000

and outputs 11642 generated words:

  gen_recipes.txt (Size: 70.29 KB / Downloads: 9)