Table 1 Experimental results
From: Restoring and attributing ancient texts using deep neural networks
Restoration | Region | Date | ||||
|---|---|---|---|---|---|---|
Method | CER (%) | Top 1 (%) | Top 20 (%) | Top 1 (%) | Top 3 (%) | Years |
Ancient historian and Ithaca | 18.3 | 71.7 | ||||
Ithaca | 26.3 | 61.8 | 78.3 | 70.8 | 82.1 | 29.3 |
Pythia | 47.0 | 32.6 | 53.9 | |||
Ancient historian | 59.6 | 25.3 | ||||
Onomastics | 21.2 | 26.5 | 144.4 | |||
