"Restoration of fragmentary Babylonian texts using recurrent neural networks."

Ethan Fetaya et al. (2020)

> Home

Details and statistics

DOI: 10.1073/PNAS.2003794117

access: closed

type: Journal Article

metadata version: 2020-12-25

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/pnas/FetayaLAG20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/pnas/FetayaLAG20
Ethan Fetaya, Yonatan Lifshitz, Elad Aaron, Shai Gordin:
Restoration of fragmentary Babylonian texts using recurrent neural networks. Proc. Natl. Acad. Sci. USA 117(37): 22743-22751 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.