Deciphering Oracle Bone Language with Diffusion Models

• URL: http://arxiv.org/abs/2406.00684v1
• Date: Sun, 2 Jun 2024 09:42:23 GMT
• Title: Deciphering Oracle Bone Language with Diffusion Models
• Authors: Haisu Guan, Huanxin Yang, Xinyu Wang, Shengwei Han, Yongge Liu, Lianwen Jin, Xiang Bai, Yuliang Liu,
• Abstract summary: Oracle Bone Script (OBS) originated from China's Shang Dynasty approximately 3,000 years ago. This paper introduces a novel approach by adopting image generation techniques, specifically through the development of Oracle Bone Script Decipher (OBSD) OBSD generates vital clues for decipherment, charting a new course for AI-assisted analysis of ancient languages.
• Score: 70.69739681961558
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Originating from China's Shang Dynasty approximately 3,000 years ago, the Oracle Bone Script (OBS) is a cornerstone in the annals of linguistic history, predating many established writing systems. Despite the discovery of thousands of inscriptions, a vast expanse of OBS remains undeciphered, casting a veil of mystery over this ancient language. The emergence of modern AI technologies presents a novel frontier for OBS decipherment, challenging traditional NLP methods that rely heavily on large textual corpora, a luxury not afforded by historical languages. This paper introduces a novel approach by adopting image generation techniques, specifically through the development of Oracle Bone Script Decipher (OBSD). Utilizing a conditional diffusion-based strategy, OBSD generates vital clues for decipherment, charting a new course for AI-assisted analysis of ancient languages. To validate its efficacy, extensive experiments were conducted on an oracle bone script dataset, with quantitative results demonstrating the effectiveness of OBSD. Code and decipherment results will be made available at https://github.com/guanhaisu/OBSD.

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