HieroGlyphTranslator: Automatic Recognition and Translation of Egyptian Hieroglyphs to English

• URL: http://arxiv.org/abs/2512.03817v1
• Date: Wed, 03 Dec 2025 14:05:18 GMT
• Title: HieroGlyphTranslator: Automatic Recognition and Translation of Egyptian Hieroglyphs to English
• Abstract summary: We propose a method for the automatic recognition and translation of ancient Egyptian hieroglyphs from images to English.<n>The model achieved a BLEU score of 42.2, a significant result compared to previous research.
• Score: 0.14053129774629072
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Egyptian hieroglyphs, the ancient Egyptian writing system, are composed entirely of drawings. Translating these glyphs into English poses various challenges, including the fact that a single glyph can have multiple meanings. Deep learning translation applications are evolving rapidly, producing remarkable results that significantly impact our lives. In this research, we propose a method for the automatic recognition and translation of ancient Egyptian hieroglyphs from images to English. This study utilized two datasets for classification and translation: the Morris Franken dataset and the EgyptianTranslation dataset. Our approach is divided into three stages: segmentation (using Contour and Detectron2), mapping symbols to Gardiner codes, and translation (using the CNN model). The model achieved a BLEU score of 42.2, a significant result compared to previous research.

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