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Statistical Structure in Indus Sign Sequences
Tanishk Tiwari, 2026. Proceedings of the 6th International Conference on Natural Language Processing for the Digital Humanities.
Analyses a corpus of Indus inscriptions with visual clustering of signs, entropy and divergence measures and a neural sequence model. It reports direction-dependent and structured sign sequences that random generation does not easily explain.
What it's used for here
The emerging-methods survey cites it as a recent statistical study of an undeciphered script, noting that the abstract gives no baselines.
Cited by on this site 1 record
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SRCMathematics
Cite it
Tiwari, T. (2026). Statistical Structure in Indus Sign Sequences. Proceedings of the 6th International Conference on Natural Language Processing for the Digital Humanities. https://doi.org/10.18653/v1/2026.nlp4dh-1.28
@article{tiwari2026statistical,
author = {Tiwari, Tanishk},
title = {Statistical Structure in Indus Sign Sequences},
journal = {Proceedings of the 6th International Conference on Natural Language Processing for the Digital Humanities},
year = {2026},
doi = {10.18653/v1/2026.nlp4dh-1.28},
url = {https://doi.org/10.18653/v1/2026.nlp4dh-1.28}
}TY - JOUR TI - Statistical Structure in Indus Sign Sequences AU - Tiwari, Tanishk PY - 2026 JO - Proceedings of the 6th International Conference on Natural Language Processing for the Digital Humanities DO - 10.18653/v1/2026.nlp4dh-1.28 UR - https://doi.org/10.18653/v1/2026.nlp4dh-1.28 ER -
Tiwari, Tanishk. “Statistical Structure in Indus Sign Sequences.” Proceedings of the 6th International Conference on Natural Language Processing for the Digital Humanities (2026). https://doi.org/10.18653/v1/2026.nlp4dh-1.28.