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The Voynich Manuscript Deciphered: A Phonetic Transcription of Spoken Elu-Sinhala

Authors: Basra, Kameldip Singh;

The Voynich Manuscript Deciphered: A Phonetic Transcription of Spoken Elu-Sinhala

Abstract

The Voynich Manuscript (Beinecke MS 408, carbon-dated 1404-1438 CE) is identified as a 15th-century Elu-Sinhala pharmaceutical text - a teaching manual recording a physician's spoken instructions for Ayurvedic preparations. The writing system is a bespoke abugida mapping 27 EVA characters to 14 Sinhala phonemes. Key results: 90.9% of 35,916 tokens glossable in English (32,646 tokens); 99.4% matching Sinhala dictionary (Tier 1+2+3); only 0.6% truly unknown (213 tokens); domain clustering in pharmaceutical vocabulary at 101.2x over random (Z=52.7); 24 independent converging evidence lines, combined p much less than 10^-7. Includes the full paper (PDF) and the complete 4,591-entry decoded vocabulary (TSV) with English glosses, confidence levels, and Sinhala phonetic forms.

Free for personal and academic research. Commercial use requires written permission. Contact: kameldipbasra@gmail.com. GitHub: https://github.com/kamb-code/Voynich

Keywords

Ayurvedic, abugida, Elu, corpus linguistics, balneotherapy, cross-tradition attestation, Voynich Manuscript, multiple testing correction, pharmaceutical text, artificial intelligence, Beinecke MS 408, NLP, computational linguistics, medieval manuscript, historical linguistics, statistical validation, Datura, pharmaceutical, phonetic transcription, decipherment, Elu-Sinhala, holdout validation, Sinhala, Ayurveda, paleography

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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