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Restoration of fragmentary Babylonian texts using recurrent neural networks

Ethan Fetaya1, Yonatan Lifshitz2, Elad Aaron3

  • 1Faculty of Engineering, Bar-Ilan University, Ramat-Gan 5290002, Israel; ethan.fetaya@biu.ac.il shaigo@ariel.ac.il.

Proceedings of the National Academy of Sciences of the United States of America
|September 3, 2020
PubMed

Keywords:
Achaemenid empireBabylonian heritageLate Babylonian dialectcuneiform scriptneural networks

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