AlphaOracle: Oracle bone script decipherment via human-workflow-inspired deep learning
Approximately 3,000 of the 4,500 oracle bone script (OBS) characters remain undeciphered due to fragmentary inscriptions and sparse evidence. Current AI approaches fail to replicate expert workflows that integrate form analysis, contextual semantics, and philological reasoning. We introduce AlphaOracle, a human-workflow-inspired framework that systematizes OBS decipherment using the largest digitized corpus to date. Its multi-stage pipeline comprises: (i) rubbing parsing; (ii) radical-based morphological analysis with diachronic modeling; (iii) contextual retrieval with semantic alignment; and (iv) philological validation against classical sources. Each stage generates explicit, confidenc...
| Authors | Yuliang Liu, Haisu Guan, Pengjie Wang et al. |
|---|---|
| Primary category | cs.HC |
| Published | 20 July 2026 |
| Last updated at source | 20 July 2026 |
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