New AI approach enhances Sanskrit poetry generation with prosody focus

Researchers have developed Pingala, a novel decoding approach for generating Sanskrit poetry that emphasizes prosody and semantic coherence. By segmenting verses into grouped lines and favoring longer tokens, Pingala improves semantic coherence by 10% while maintaining metrical adherence. The system also utilizes a phonetically aware transliteration scheme, SLP1, which enhances metrical alignment by 46% when used with instruction fine-tuned large language models like Phi-4. AI

IMPACT This research offers a specialized technique for improving the quality and adherence to traditional rules in AI-generated poetry for specific languages.

RANK_REASON The cluster contains an academic paper detailing a new method for AI-based poetry generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

• arXiv
• Manoj Balaji Jagadeeshan
• Phi 4
• Pingala
• Sanskrit

• paper
• model release

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