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Templatic Voynich generator - Printable Version +- The Voynich Ninja (https://www.voynich.ninja) +-- Forum: Voynich Research (https://www.voynich.ninja/forum-27.html) +--- Forum: Analysis of the text (https://www.voynich.ninja/forum-41.html) +--- Thread: Templatic Voynich generator (/thread-5800.html) |
RE: Templatic Voynich generator - Mauro - 09-06-2026 I have some improvements and corrections to my previous post, I'll open a new thread as soon as I have time. RE: Templatic Voynich generator - petronio - 10-06-2026 I'd like to know if anyone has tested something along these lines. Based on this topic, I took the liberty of doing a quick cross-check, applying BPE to Voynich and measuring the average length of vocabulary morphemes (VMML). As a result, I obtained 5.918, well above the alphabetic limit in 21 corpora. The discriminative signal comes almost entirely from the suffix system: about 50 three-character endings cover 80% of the corpus. If your models encode this concentration of suffixes explicitly, the generator output should be in the same range. If they operate through other constraints (positional, gallows, word-start rules), the VMML would likely fall back to the alphabetic group. I would like to explore this case further. |