Challenges in Processing Vedic Sanskrit: Towards creating a normalized dataset for the Ṛgveda-saṃhitā

Sriram Krishnan, Sepuri Gayathri, Amba Kulkarni


Anthology ID:
2025.wsc-csdh.9
Volume:
Computational Sanskrit and Digital Humanities - World Sanskrit Conference 2025
Month:
June
Year:
2025
Address:
Kathmandu, Nepal
Editors:
Amba Kulkarni, Oliver Hellwig
Venue:
WSC
SIG:
Publisher:
Association for Computational Lingustics
Note:
Pages:
131–147
Language:
URL:
https://preview.aclanthology.org/ingestion-wsc-csdh-2025/2025.wsc-csdh.9/
DOI:
Bibkey:
Cite (ACL):
Sriram Krishnan, Sepuri Gayathri, and Amba Kulkarni. 2025. Challenges in Processing Vedic Sanskrit: Towards creating a normalized dataset for the Ṛgveda-saṃhitā. In Computational Sanskrit and Digital Humanities - World Sanskrit Conference 2025, pages 131–147, Kathmandu, Nepal. Association for Computational Lingustics.
Cite (Informal):
Challenges in Processing Vedic Sanskrit: Towards creating a normalized dataset for the Ṛgveda-saṃhitā (Krishnan et al., WSC 2025)
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PDF:
https://preview.aclanthology.org/ingestion-wsc-csdh-2025/2025.wsc-csdh.9.pdf