Proceedings

Interactive System for Reducing Error Propagation in Multi-Stage Ancient Egyptian Text Analysis

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Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Demo Track. Pages 8397-8400.

https://doi.org/10.24963/ijcai.2026/965

Abstract

We introduce a web tool that puts the full image-to-text pipeline for Ancient Egyptian hieroglyphs inside a single annotation workspace. Instead of only producing a final transcription, our system exposes editable intermediate results so users can validate and correct the pipeline step by step. User edits are stored as image-aligned annotations, which supports both text analysis and dataset creation. Quantitative results indicate improved efficiency and output quality relative to a manual baseline. A demonstration video is available at Google Drive.

Maksim Golyadkin, Innokentiy Humonen, and Ilya Makarov. 2026. Interactive System for Reducing Error Propagation in Multi-Stage Ancient Egyptian Text Analysis. In Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26. IJCAI, 8397–8400. https://doi.org/10.24963/ijcai.2026/965
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