Abstract:
: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 automatically completing the breaks in ancient Akkadian texts from Achaemenid period Babylonia.
journal_name
Proc Natl Acad Sci U S Aauthors
Fetaya E,Lifshitz Y,Aaron E,Gordin Sdoi
10.1073/pnas.2003794117subject
Has Abstractpub_date
2020-09-15 00:00:00pages
22743-22751issue
37eissn
0027-8424issn
1091-6490pii
2003794117journal_volume
117pub_type
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