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
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- FuzzySimilar title/name (fuzzy) · 87%fengshao1227/ccg-workflow →
“Fuzzy title match (0.94): “AlphaOracle: Oracle bone script decipherment via human-workf” ≈ “fengshao1227/ccg-workflow””
- FuzzySimilar title/name (fuzzy) · 87%aymericdamien/TopDeepLearning →
“Fuzzy title match (0.94): “AlphaOracle: Oracle bone script decipherment via human-workf” ≈ “aymericdamien/TopDeepLearning””
- FuzzyOverlapping authors or contributors · 62%keras-team/keras →
“Shared author/contributor keys: jin”
- FuzzyOverlapping authors or contributors · 62%HKUDS/LightRAG →
“Shared author/contributor keys: jin”
- FuzzyOverlapping authors or contributors · 62%modular/modular →
“Shared author/contributor keys: liu”
- LinkedLinked via arxiv author · 85%Yuliang Liu →
“AlphaOracle: Oracle bone script decipherment via human-workflow-inspired deep learning”
- LinkedLinked via arxiv author · 85%Haisu Guan →
“AlphaOracle: Oracle bone script decipherment via human-workflow-inspired deep learning”
- LinkedLinked via arxiv author · 85%Pengjie Wang →
“AlphaOracle: Oracle bone script decipherment via human-workflow-inspired deep learning”