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Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B

Luo, Cao and Barzilay · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

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Methods survey: emerging mathematics and machine learning	SRC0D8NJCBP11SK
Survey: frameworks of inquiry (deduction, induction, abduction)	SRC0D8NJD3419ZB
Survey: inductive methods from fourteen fields	SRC0D8NJDAY13ME

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Luo, J., Cao, Y., Barzilay, R. 2019. Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.

@article{luo2019neural,
  author = {Luo, Jiaming and Cao, Yuan and Barzilay, Regina},
  title = {Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B},
  journal = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
  year = {2019},
  doi = {10.18653/v1/p19-1303},
  url = {https://doi.org/10.18653/v1/p19-1303}
}

DOI: 10.18653/v1/p19-1303
Web: https://doi.org/10.18653/v1/p19-1303
Licence: CC-BY-4.0
Cite key: luo2019neural
SHA-256: 6dfd73e0b81ee2f581ff1c7fef32e874a74915221c736e2f7b130b565c8d35d9

In the research Session 6: Phase 2: registered tests, brute force, five surveys; book v1.1ConsultedSession 9: The inquiry framework, the inductive battery, generated hypotheses and readingsConsulted

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v1 · 25 Oct 2026 · Voynich Manuscript: sync from the research ledger