Fonts which encode characters from the Voynich Manuscript

Voynich for Java (v4j) library

Computational Analysis of the Voynich Manuscript > Natural language, cipher, or artificial system? An investigation using information theory, machine learning, and computational statistics.

This repository preserves the decoded research logs, linguistic fieldwork, and methodological insights behind the Lackadaisical Security Voynich Manuscript Decipherment project.

Reproducible decipherment methodology in Zig (corpus loaders, entropy, n-gram LM, hillclimb substitution solver, stationary bootstrap). Companion to the Python symbols repo. AGPL-3.0.

An advanced computational cryptanalysis framework for the Voynich Manuscript. It implements a positional polyalphabetic decoder optimized via Simulated Annealing, utilizing Byte Pair Encoding (BPE) for tokenization and trigram cosine similarity for linguistic validation against 15th-century reference corpora.

Rigorous statistical decipherment substrate — Miller-Madow entropy, n-gram LMs, monoalphabetic/polyalphabetic/homophonic solvers, stationary bootstrap CIs. Bit-exact parallel reproducibility. Applied to Voynich EVA. 44 tests.

Unified field theory and Systems

Voynich Quest 6 is an offline-first, single-file browser game inspired by the Voynich Manuscript. It turns manuscript analysis ideas into playable canvas puzzles, research instruments, and evidence-based scoring systems.

Computational Analysis of the Voynich Manuscript (Beinecke MS 408) as a Structured Symbolic System.

Experimental computational framework for semantic exploration of the Voynich Manuscript using transformer embeddings, medieval corpora, semantic clustering and digital humanities methodologies.

Voynich Unlock apresenta o Método SEIS/OITO: uma leitura numérica e estruturada do manuscrito. Onde muitos viram mistério insolúvel, mostramos um caminho claro e consistente — uma chave que começa a destravar o enigma.

A Complete Technical Translation of the Voynich Manuscript into Executable IMASM Architecture