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A Computational Evaluation of Syllabic Hypotheses for Rongorongo: Evidence from N-gram Analysis
Evgeniya Korovina, 2026. Proceedings of the Language Resources and Evaluation Conference.
Tests whether rongorongo could be a one-symbol-one-syllable substitution, using a genetic algorithm scored on Rapa Nui n-gram statistics, with a noise threshold fixed on controlled texts before the real transliterations were scored.
What it's used for here
The emerging-methods survey calls it the best-designed recent evaluation of a decipherment hypothesis and the closest example of setting a threshold before scoring the real corpus.
Cited by on this site 1 record
1 methods surveys
SRCMathematics
Cite it
Korovina, E. (2026). A Computational Evaluation of Syllabic Hypotheses for Rongorongo: Evidence from N-gram Analysis. Proceedings of the Language Resources and Evaluation Conference. https://doi.org/10.63317/2os436inpm37
@article{korovina2026computational,
author = {Korovina, Evgeniya},
title = {A Computational Evaluation of Syllabic Hypotheses for Rongorongo: Evidence from N-gram Analysis},
journal = {Proceedings of the Language Resources and Evaluation Conference},
year = {2026},
doi = {10.63317/2os436inpm37},
url = {https://doi.org/10.63317/2os436inpm37}
}TY - JOUR TI - A Computational Evaluation of Syllabic Hypotheses for Rongorongo: Evidence from N-gram Analysis AU - Korovina, Evgeniya PY - 2026 JO - Proceedings of the Language Resources and Evaluation Conference DO - 10.63317/2os436inpm37 UR - https://doi.org/10.63317/2os436inpm37 ER -
Korovina, Evgeniya. “A Computational Evaluation of Syllabic Hypotheses for Rongorongo: Evidence from N-gram Analysis.” Proceedings of the Language Resources and Evaluation Conference (2026). https://doi.org/10.63317/2os436inpm37.