Restoration of fragmentary Babylonian texts using recurrent neural networks [Computer Sciences]

The main sources of information regarding ancient Mesopotamian history and culture are clay cuneiform tablets. Many of these tablets are damaged, leading to missing information. Currently, the missing text is manually reconstructed by experts. We investigate the possibility of assisting scholars, by modeling the language using recurrent neural networks and...

Source: Proceedings of the National Academy of Sciences - September 14, 2020 Category: Science Authors: Ethan Fetaya, Yonatan Lifshitz, Elad Aaron, Shai Gordin Tags: Social Sciences Source Type: research