A Mīmāṃsā-Based Framework for Disambiguating Compounds in Sanskrit

2026-06-08 · Source: Paper Index on ACL Anthology · Field: Technology & Digital — Artificial Intelligence & Machine Learning · Depth: Expert, quick

Summary

The paper "A Mīmāṃsā-Based Framework for Disambiguating Compounds in Sanskrit" by Devulapalli Koushik Suraj and Pavankumar Satuluri was presented at the 8th International Sanskrit Computational Linguistics Symposium (ISCLS) in March 2026. Published by the Association for Computational Linguistics, this work spans pages 98–110 of the proceedings. The symposium took place at IIT Roorkee, India. This research focuses on developing a framework rooted in Mīmāṃsā principles to address the challenge of disambiguating compound words within the Sanskrit language.

Key takeaway

For computational linguists and Sanskrit scholars working on natural language processing, this paper offers a specific approach to a known challenge. If you are developing tools or systems for Sanskrit text analysis, particularly those involving complex compound structures, reviewing this Mīmāṃsā-based framework could inform your disambiguation strategies. Consider how its principles might integrate into existing or new NLP pipelines for Sanskrit.

Topics

• Sanskrit
• Computational Linguistics
• Compound Disambiguation
• Mīmāṃsā Framework
• Natural Language Processing

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Editorial summary, takeaway, and curation by AIssential. Original article published by Paper Index on ACL Anthology.