Restoration of fragmentary Babylonian texts using recurrent neural networks

Ethan Fetaya, Yonatan Lifshitz, Elad Aaron, Shai Gordin

Open source

DOI: 10.1073/pnas.2003794117
Published: 2020-09
Container: Proceedings of the National Academy of Sciences
Publisher: National Academy of Sciences
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1073/pnas.2003794117,
  title = {Restoration of fragmentary Babylonian texts using recurrent neural networks},
  author = {Ethan Fetaya and Yonatan Lifshitz and Elad Aaron and Shai Gordin},
  year = {2020},
  journal = {Proceedings of the National Academy of Sciences},
  doi = {10.1073/pnas.2003794117},
  url = {https://doi.org/10.1073/pnas.2003794117}
}

RIS

TY  - JOUR
TI  - Restoration of fragmentary Babylonian texts using recurrent neural networks
AU  - Ethan Fetaya
AU  - Yonatan Lifshitz
AU  - Elad Aaron
AU  - Shai Gordin
PY  - 2020
JO  - Proceedings of the National Academy of Sciences
DO  - 10.1073/pnas.2003794117
UR  - https://doi.org/10.1073/pnas.2003794117
ER  -

APA

Fetaya, E., Lifshitz, Y., Aaron, E., & Gordin, S. (2020). Restoration of fragmentary Babylonian texts using recurrent neural networks. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2003794117

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crossref · retrieved 2026-11-10T14:21:41.066Z