The Decipherment of the Voynich Manuscript_ Identification as a Medieval Compendium of Alchemy
Authors/Creators
- 1. Independent Psychology Researcher
- 2. Independent Mathematics Researcher/Scholar
Description
By applying the proprietary "OI-2026 Protocol," a method based on structural elucidation, to the Voynich manuscript—which has remained undeciphered for approximately 600 years—we systematically extracted its distributional correspondences with a corpus of medieval Latin medical and alchemical literature (Stream B). For 9,733 words (99.4% of the total 9,783 slots) that passed the dual constraints of contextual similarity in a multi-dimensional space and functional roles (equivalent to parts of speech) automatically classified from the geometric arrangement of the manuscript, corresponding candidates within the Latin corpus were identified. In this paper, these correspondences are referred to as "distributional translation candidates." This does not constitute a definitive semantic translation, but rather provides primary source material for subsequent historical and herbalistic validation. Furthermore, a strong positive correlation (R=0.7080) was observed between the endpoints of branches and leaves in the illustrations and the occurrence rate of "material-type" vocabulary in the text, suggesting that the manuscript is a structured recording medium in terms of both text and iconography. These observations statistically support the possibility that the manuscript is a recording system closely related to the traditions of 16th-century alchemy and early medicine.
Files
Statistical Domain Identification of the Voynich Manuscript_ Distributional Mapping to 16th-Century Latin Alchemical and Medical Vocabulary (日英併記版)Version 1.1.0.pdf
Files
(33.0 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:4c3de93618b4e94f114ce647f643574f
|
971.0 kB | Preview Download |
|
md5:6d0e16054211fd73d92b73f81356407c
|
27.5 MB | Preview Download |
|
md5:20305b4b3296f38bab7f2557db69182f
|
1.2 kB | Preview Download |
|
md5:776b1e891394a6855ee692188efbbae9
|
8.7 kB | Preview Download |
|
md5:6c67dfe45bb98b76242b86ca81d508b4
|
456 Bytes | Preview Download |
|
md5:6da2bc8b4d0fa5a191247f620aaf4ff8
|
414.6 kB | Preview Download |
|
md5:5804afd10dce220567f205fefbbdc8df
|
898 Bytes | Preview Download |
|
md5:526c9e462145add674f3497fd9818bc7
|
321.9 kB | Preview Download |
|
md5:ac1349d043104e7bd25e0c79906bf447
|
1.1 MB | Preview Download |
|
md5:31b39435a68cb429691c8787d308d8cb
|
913.3 kB | Preview Download |
|
md5:0512f2a85521097b9a12d02ed1c2a70c
|
5.5 kB | Preview Download |
|
md5:3cbe0c2c4db96a7c880435244781915c
|
1.5 MB | Preview Download |
|
md5:8e8dc92b1231cd1ddb5ca6ccb93e8170
|
231.2 kB | Preview Download |
|
md5:64730746d93919682ed0b3fa4cf20862
|
5.8 kB | Preview Download |
|
md5:71b95b649273a55753e73e3b4153dd0b
|
6.2 kB | Preview Download |
|
md5:f69ca72abc7011915aaa7d9fa20b467f
|
7.1 kB | Preview Download |
|
md5:fb9f332233dc2505fa39e5962f5e5381
|
6.4 kB | Preview Download |
|
md5:a7d7284a54f69a3afdb105c6fa116282
|
4.5 kB | Preview Download |
|
md5:b3b24e19da5487525d070cbc06827365
|
6.5 kB | Preview Download |
|
md5:eded6bfda7bf1e37d18b92842102ff02
|
6.2 kB | Preview Download |
|
md5:28844b32f4f09173c53078905bf4aff7
|
10.1 kB | Preview Download |
|
md5:624c26bca629ad942d25864a209e2a9c
|
9.1 kB | Preview Download |
|
md5:4066e6e37ee6b0a71ef457aefea0b8de
|
7.3 kB | Preview Download |
Additional details
Related works
- Continues
- Publication: 10.5281/zenodo.19574356 (DOI)