As Moshe Koppel mentioned in his March essay for Mosaic, artificial intelligence has an impressive capacity to improve our ability to understand and interpret ancient Jewish texts. Etgar Lefkowitz explains a new application of this technology, developed by researchers at Ben-Gurion University of the Negev (BGU):
Engineering students at BGU are now employing Mask Language Modeling to get to the bottom of . . . centuries-old inscriptions which have been marred over time by earthquakes, fires, political conflicts, and other natural and human-related causes.
Previously, epigraphists encountered a major challenge in reconstructing the missing parts of such valuable writings, and had to use time-consuming manual procedures to make out an approximation of the missing content. Through the AI technique, the damaged content, whether single characters, partial words, single complete words, or multiple words, can be reconstructed more efficiently.
Students successfully tested the technology by taking hundreds of sentences from the Bible and applying them to corrupted inscriptions in Hebrew and Aramaic.
More about: Ancient Near East, Archaeology, Artificial intelligence, Manuscripts