2025
EMNLP
EMNLP 2025
BIRD: Bronze Inscription Restoration and Dating
Abstract
AbstractBronze inscriptions from early China are fragmentary and difficult to date. We introduce BIRD (Bronze Inscription Restoration and Dating), a fully encoded dataset grounded in standard scholarly transcriptions and chronological labels. We further propose an allograph-aware masked language modeling framework that integrates domain- and task-adaptive pretraining with a Glyph Net (GN), which links graphemes and allographs. Experiments show that GN improves restoration, while glyph-biased sampling yields gains in dating.
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Interdisciplinary Bridge
- Artificial Intelligence and Interdisciplinary and Natural Language Processing
Authors
Topics
Machine Learning > Application Areas > Domain Adaptation
Deep Learning > Techniques > Pretraining
Natural Language Processing > Generation > Language Modeling
Natural Language Processing > Resources & Methods > Knowledge Editing
Interdisciplinary > Digital Humanities
Artificial Intelligence > Core AI > Language