TL;DR
This study employs artificial intelligence and pattern recognition to analyze the Dead Sea Scrolls, revealing evidence of multiple scribes for the Great Isaiah Scroll, challenging the assumption of a single author.
Contribution
It introduces AI-based palaeography techniques to identify multiple scribes in ancient manuscripts, providing new insights into biblical scribal practices.
Findings
Detected a clear scribal switch around column 27 of the scroll.
Provided evidence for multiple scribes working on the same manuscript.
Demonstrated the effectiveness of AI in ancient handwriting analysis.
Abstract
The Dead Sea Scrolls are tangible evidence of the Bible's ancient scribal culture. Palaeography - the study of ancient handwriting - can provide access to this scribal culture. However, one of the problems of traditional palaeography is to determine writer identity when the writing style is near uniform. This is exemplified by the Great Isaiah Scroll (1QIsaa). To this end, we used pattern recognition and artificial intelligence techniques to innovate the palaeography of the scrolls regarding writer identification and to pioneer the microlevel of individual scribes to open access to the Bible's ancient scribal culture. Although many scholars believe that 1QIsaa was written by one scribe, we report new evidence for a breaking point in the series of columns in this scroll. Without prior assumption of writer identity, based on point clouds of the reduced-dimensionality feature-space, we…
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