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A Statistical Model for Lost Language Decipherment

Benjamin Snyder, Regina Barzilay, Kevin Knight, 2010. Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics.

Builds a statistical model that deciphers a lost language by matching it to a known related language, tested on Ugaritic against Hebrew.

MYS08HTEHX052AX · mystery · click to copyMVoynich ManuscriptArticleChecked against the original0

What it's used for here

The cryptanalysis survey describes it as an unknown-script method; the inductive-methods survey ranks it low because it assumes a near one-to-one character map.

Cited by on this site 2 records

2 methods surveys
Cryptanalysis, inductive methods
SRC

Cite it

Snyder, B., Barzilay, R., & Knight, K. (2010). A Statistical Model for Lost Language Decipherment. Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics. https://aclanthology.org/P10-1107/
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