A team of experts has utilized cutting-edge artificial intelligence (AI) technology to analyze hidden language patterns in some of the oldest books of the Bible. Led by Duke University in the US, the researchers examined the Enneateuch, the first nine books of the Hebrew Bible, using advanced linguistic analysis and a custom AI model. Their findings revealed three distinct writing styles within these texts, indicating multiple authors or groups contributing to the sacred scriptures.
According to Thomas Römer, a professor at the Collège de France, each group of authors demonstrated unique styles, even in the use of common words like ‘no,’ ‘which,’ or ‘king.’ The research, spearheaded by mathematician Shira Faigenbaum-Golovin, began in 2010 with the study of ancient pottery inscriptions from 600 BC, providing crucial insights for dating Old Testament texts.
Faigenbaum-Golovin now leads a diverse team of experts, including mathematicians, archaeologists, linguists, and computer scientists, in merging science with scripture. The AI model identified three primary writing styles in the text: the Priestly source, the Deuteronomistic History, and the Book of Deuteronomy itself. Surprisingly, sections of the Ark Narrative in 1 Samuel did not align with any of these styles, suggesting additional unknown contributors to the Bible’s creation.
The team believes their methodology could be extended to analyze other historical documents, aiding in the authentication of texts. The study, published in PLOS One, offers significant evidence of distinct linguistic characteristics in biblical texts, opening new avenues for biblical studies and potentially uncovering more insights into ancient writings.