Investigates generative structure and dependencies in Voynich tokens, suggesting a probabilistic generation mechanism.
This record presents the study: "Conditional Structure and Generative Dependencies in Voynich Tokens: A Prefix–Core–Suffix Analysis" This work investigates the internal generative structure of Voynich tokens using a prefix–core–suffix decomposition framework. It evaluates conditional dependencies between token components through entropy measures, prediction accuracy, and controlled structure-breaking experiments. The results demonstrate a strong asymmetric dependency structure, where suffix selection is highly predictable from the core, while prefix provides weaker constraints. These findings support a structured probabilistic generation mechanism underlying the Voynich token system. Related preprints:- Chang (2026a), Robust Positional Constraints in the Voynich Manuscript- Chang (2026b), Language-like Predictability and Structural Divergence in Voynich Tokens Reproducibility package:https://doi.org/10.5281/zenodo.19765403 Note:The Zandbergen–Landini EVA transcription (ZL3b) is not redistributed. Users should obtain it from:https://www.voynich.nu/
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Youngsan Chang (2026) studied this question.
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