Padamitra: Grounded Glossary Generation for Classical Sanskrit
We introduce grounded glossary generation, a structured task requiring models to recover semantically meaningful Sanskrit phrases and produce translation-grounded meanings from a sloka-translation pair, formalizing the traditional patha commentary practice as an evaluable NLP objective. We construct a benchmark of 31,316 sloka-translation-glossary triples from the Valmiki Ramayana and Srimad Bhagavatam, paired with two metrics: Jaccard for phrase recovery and Meaning Faithfulness for semantic consistency. Across zero-shot, few-shot, and instruction fine-tuned variants of Gemma-3n-E4B, Gemma-3-12B, Phi-4, and Qwen3.5-9B, instruction fine-tuning substantially outperforms prompting, while ex...
| Authors | Manoj Balaji Jagadeeshan, Sai Pragnaan Marala, Pawan Goyal |
|---|---|
| Primary category | cs.CL |
| Published | 25 August 2026 |
| Last updated at source | 1 September 2026 |
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