Vojteˇch Kaše, Sarah Lang
Martin Ruland the Younger's Lexicon Alchemiae (1612) is one of the most influential alchemical dictionaries of the early modern period, yet its sources and compilation methods remain poorly understood. This study applies computational approaches to investigate the vocabulary underlying Ruland's lexicon and to identify potential textual influences. Using a TEI-XML encoded version of the Lexicon Alchemiae, a standard data format for encoding textual data in the digital humanities, we extract its headwords and compare them against large-scale digital corpora of Latin literature, including the Early Modern Latin Alchemical Prints (EMLAP) dataset and the broader GreLa database. By combining frequency-based lexical comparison with contextual word embeddings generated through a Latin BERT (Bidirectional Encoder Representations from Transformers) model, the analysis traces both the distribution and semantic behaviour of terms across earlier alchemical and scientific texts. The article is accompanied by an interactive web application allowing readers to explore additional case studies. Our analysis indicates that Ruland drew not only on earlier Paracelsian word lists, but also on large-scale contemporary compilations such as Andreas Libavius's Alchemia (1597), suggesting that the Lexicon Alchemiae should be understood within a broader movement to systematise and professionalise alchemical knowledge in the late sixteenth and early seventeenth centuries.