Restoration of fragmentary Babylonian texts using recurrent neural networks.
- DOI
- 10.1073/pnas.2003794117
- Published
- 2020 Sep 15
- Container
- Proceedings of the National Academy of Sciences of the United States of America
- Publisher
- Not recorded
- Open access
- yes
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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 = {Fetaya E and Lifshitz Y and Aaron E and Gordin S},
year = {2020},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
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 - Fetaya E AU - Lifshitz Y AU - Aaron E AU - Gordin S PY - 2020 JO - Proceedings of the National Academy of Sciences of the United States of America DO - 10.1073/pnas.2003794117 UR - https://doi.org/10.1073/pnas.2003794117 ER -
APA
E, F., Y, L., E, A., & S, G. (2020). Restoration of fragmentary Babylonian texts using recurrent neural networks.. Proceedings of the National Academy of Sciences of the United States of America. https://doi.org/10.1073/pnas.2003794117
Source records
- pubmed · retrieved 2026-09-25T23:22:58.554Z