Who cites «Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks»
- Building a Corpus and Database for Rare and Undeciphered Scripts — 2026 · Proceedings of the Fourth Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA 2026) @ LREC 2026
- Draft, Verify, Restore: Self-Refining Historical Inscription Restoration with a Unified MLLM — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Validator-Guided Hard Negative Mining for Masked Language Modeling in Low-Resource Ancient Languages — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
- EvaCun 2025 Shared Task: Lemmatization and Token Prediction in Akkadian and Sumerian using LLMs — our card · 2025
- Embible: Reconstruction of Ancient Hebrew and Aramaic Texts Using Transformers — our card · 2024 · Findings of the Association for Computational Linguistics: EACL 2024
- MsBERT: A New Model for the Reconstruction of Lacunae in Hebrew Manuscripts — our card · 2024 · Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)
- PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach — our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- corazza-2022-contextual-unsupervised-clustering-signs-ancient
- duan-2024-restoring-ancient-ideograph-multimodal-multitask
- papavassileiou-2024-restoring-mycenaean-linear-b-b
- simonjetz-2024-reconstruction-cuneiform-literary-texts-as
- zhang-2025-reviving-cultural-heritage-novel-approach
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