Abstract
Different methods are evaluated to automatically classify images of hieratic signs. Contrasted are convolutional neural networks and simpler methods that require little or no training. Also explored is input of signs by drawing on modern graphical input devices.
| Original language | English |
|---|---|
| Title of host publication | Ägyptologische „Binsen“-Weisheiten V |
| Subtitle of host publication | akten der internationalen tagung in der Akademie der Wissenschaften und der Literatur, Mainz im April 2024 |
| Editors | Svenja A. Gülden, Tobias Konrad, Kyra van der Moezel, Ursula Verhoeven |
| Place of Publication | Stuttgart |
| Publisher | Franz Steiner Verlag |
| ISBN (Print) | 9783515141871 |
| Publication status | Published - 1 Mar 2026 |
| Event | Ägyptologische „Binsen“-Weisheiten V - Academy of Sciences and Literature, Mainz, Germany Duration: 11 Apr 2024 → 13 Apr 2024 https://converia.uni-mainz.de/frontend/index.php?page_id=3205 |
Publication series
| Name | Abhandlungen der Akademie der Wissenschaften und der Literatur, Mainz. Geistes- und sozialwissenschaftliche Klasse Einzelveröffentlichungen |
|---|---|
| Publisher | Franz Steiner Verlag |
| Volume | 19 |
| ISSN (Print) | 0723-7472 |
Conference
| Conference | Ägyptologische „Binsen“-Weisheiten V |
|---|---|
| Country/Territory | Germany |
| City | Mainz |
| Period | 11/04/24 → 13/04/24 |
| Internet address |
Keywords
- Hieratic
- Classification
- Machine learning
- Corpora
- Text input
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