---
title: "Interactive System for Reducing Error Propagation in Multi-Stage Ancient Egyptian Text Analysis"
authors:
  - "Maksim Golyadkin"
  - "Innokentiy Humonen"
  - "Ilya Makarov"
doi: "10.24963/ijcai.2026/965"
url: "https://ijcai.org/proceedings/2026/965"
pdf: "https://ijcai.org/proceedings/2026/0965.pdf"
venue: "Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence"
year: 2026
pages: "8397-8400"
track: "Demo Track"
keywords:
  - "AI: Multidisciplinary Topics and Applications"
  - "AI: Natural Language Processing"
  - "AI: Computer Vision"
---

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

Maksim Golyadkin, Innokentiy Humonen, Ilya Makarov

*Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence*, pages 8397-8400. DOI: [10.24963/ijcai.2026/965](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.