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Voynichese Generated via Part-of-Speech-Based Dice Model - Printable Version

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Voynichese Generated via Part-of-Speech-Based Dice Model - hiro k - 18-09-2025

Hello Voynich researchers,
I would like to share a structural hypothesis regarding the generation of Voynichese text. Inspired by linguistic modeling and probabilistic generation, I propose that the author may have used a mental or mechanical system akin to “dice” categorized by grammatical roles—such as conjunctions, nouns, and verbs—to construct each word or phrase.
? Core Idea
Each grammatical category (e.g., conjunction, noun, verb) corresponds to a pool of syllables or word fragments. The author may have randomly selected one item from each pool to form a structured word. This method would produce words with consistent internal structure while allowing for variation and creativity.
? Experimental Simulation
Using a simple model, I generated words by randomly combining syllables from three pools:

Conjunctions: qo, re, da, ai, ke, zu
Nouns: ched, dain, ol, shar, tor, lem, vok
Verbs: chy, dy, kar, mor, tin, sek, ral

Examples of generated words:
qolemchy, redaintin, kesharkar, zuvoksek, aidainmor, revoktin, ...

These words resemble Voynichese in terms of length, internal structure, and syllabic repetition.
? Related Research
This hypothesis aligns with and extends ideas from:

Torsten Timm’s grid-based word generation model
Luis Acedo’s Hidden Markov Model analysis
Claire Bowern’s linguistic structure studies

? Implications
If valid, this model suggests that Voynichese may be a structured pseudo-language generated through a creative but systematic process. It bridges randomness and grammar, and may reflect a cognitive or artistic experiment rather than a natural language.

Note: I am Japanese and not a native English speaker. Due to language limitations, my replies may be slow or imperfect, but I will do my best to respond thoughtfully. I appreciate your understanding and welcome any feedback, questions, or suggestions.
Thank you very much.