Who cites «Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B»

12 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

1. Towards Ancient Meroitic Decipherment: A Computational Approach — 2025 · Proceedings of the Second Workshop on Ancient Language Processing
2. A Systematic Review of Computational Approaches to Deciphering Bronze Age Aegean and Cypriot Scripts — 2024 · Computational Linguistics
3. Analysis of Glyph and Writing System Similarities Using Siamese Neural Networks — 2024 · Proceedings of the Third Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) @ LREC-COLING-2024
4. Towards Fast Cognate Alignment on Imbalanced Data — 2024 · Proceedings of the Second Workshop on Computation and Written Language (CAWL) @ LREC-COLING 2024
5. Decipherment as Regression: Solving Historical Substitution Ciphers by Learning Symbol Recurrence Relations — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
6. Decipherment of Lost Ancient Scripts as Combinatorial Optimisation Using Coupled Simulated Annealing — 2023 · Proceedings of the Workshop on Computation and Written Language (CAWL 2023)
7. ZiNet: Linking Chinese Characters Spanning Three Thousand Years — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
8. Compositionality of Complex Graphemes in the Undeciphered Proto-Elamite Script using Image and Text Embedding Models — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
9. Deciphering Undersegmented Ancient Scripts Using Phonetic Prior — our card · 2021 · Transactions of the Association for Computational Linguistics
10. A Dataset of Mycenaean Linear B Sequences — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
11. IsOBS: An Information System for Oracle Bone Script — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
12. Restoring ancient text using deep learning: a case study on Greek epigraphy — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)