Voynich Manuscript: Structural Analysis with Modern NLP

This project uses modern NLP techniques to analyze the structure of the Voynich Manuscript, without attempting translation. By employing methods like stemming, SBERT embeddings, and Markov transition matrices, the researcher found evidence of language-like structure, including part-of-speech distinctions, syntactic structure, and section-specific linguistic shifts. While the meaning remains elusive, the study demonstrates the effectiveness of AI tools in structural analysis, offering a new approach to deciphering this enigmatic manuscript.