IJCAI 2026Poster
Interactive System for Reducing Error Propagation in Multi-Stage Ancient Egyptian Text Analysis
作者: Maksim Golyadkin, Innokentiy Humonen, Ilya Makarov
摘要
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.