04-01-2026, 08:57 PM
Hi everyone,
I’ve just published a preprint on Zenodo regarding a structural analysis of the Voynich Manuscript. Instead of a traditional linguistic approach, I analyze the MS as a Diagrammatic Information System (DIS).
My main finding is a systematic suppression of lexical continuity between adjacent segments. Using a full-manuscript quantitative analysis, I found a mean Jaccard similarity of 0.0807. This indicates that lexical resets are the global structural norm, with 67% of all comparisons falling below 0.10.
I’ve compared these values against medieval Latin technical baselines (such as De Materia Medica and Herbarius), finding an effect size (Cohen's d) of 2.45. This suggests a modular, non-linear information architecture where text functions as locally bound parameters rather than continuous prose.
The study operates at a global structural scale and does not attempt to model local text generation mechanisms, but it provides empirical constraints for future models.
You can find the full paper and data here: zenodo.org/records/18147517
I look forward to your thoughts and technical feedback.
Best regards,
Guido Javier Pérez
I’ve just published a preprint on Zenodo regarding a structural analysis of the Voynich Manuscript. Instead of a traditional linguistic approach, I analyze the MS as a Diagrammatic Information System (DIS).
My main finding is a systematic suppression of lexical continuity between adjacent segments. Using a full-manuscript quantitative analysis, I found a mean Jaccard similarity of 0.0807. This indicates that lexical resets are the global structural norm, with 67% of all comparisons falling below 0.10.
I’ve compared these values against medieval Latin technical baselines (such as De Materia Medica and Herbarius), finding an effect size (Cohen's d) of 2.45. This suggests a modular, non-linear information architecture where text functions as locally bound parameters rather than continuous prose.
The study operates at a global structural scale and does not attempt to model local text generation mechanisms, but it provides empirical constraints for future models.
You can find the full paper and data here: zenodo.org/records/18147517
I look forward to your thoughts and technical feedback.
Best regards,
Guido Javier Pérez
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