Constrained Creative Generation
Computational generation of poetry in Indian languages
Poetry in Indian languages is bound by strict rules of metre (chandas), alliteration, and tradition — constraints that neural language models have no reason to respect unless explicitly guided. This project builds generation systems and evaluation methods that take these constraints seriously, going beyond fluency to poetic form and cultural appropriateness.
Team: Asmit Mukherjee
External Collaborators: Teams from IITKGP, IITK