7 papers
Pingala: Prosody-Aware Decoding for Sanskrit Poetry Generation
Manoj Balaji Jagadeeshan, Atul Singh, Nallani Chakravartula Sahith +2
Poetry generation in Sanskrit typically requires the verse to be semantically coherent and adhere to strict prosodic rules. In Sanskrit prosody, every line of a verse is typically…
Chandomitra: Towards Generating Structured Sanskrit Poetry from Natural Language Inputs
Manoj Balaji Jagadeeshan, Samarth Bhatia, Pretam Ray +7
Text Generation has achieved remarkable performance using large language models. It has also been recently well-studied that these large language models are capable of creative gen…
Mitrasamgraha: A Comprehensive Classical Sanskrit Machine Translation Dataset
Sebastian Nehrdich, David Allport, Sven Sellmer +5
While machine translation is regarded as a "solved problem" for many high-resource languages, close analysis quickly reveals that this is not the case for content that shows challe…
Still Not There: Can LLMs Outperform Smaller Task-Specific Seq2Seq Models on the Poetry-to-Prose Conversion Task?
Kunal Kingkar Das, Manoj Balaji Jagadeeshan, Nallani Chakravartula Sahith +2
Large Language Models (LLMs) are increasingly treated as universal, general-purpose solutions across NLP tasks, particularly in English. But does this assumption hold for low-resou…
MahÄnÄma: A Unique Testbed for Literary Entity Discovery and Linking
Sujoy Sarkar, Gourav Sarkar, Manoj Balaji Jagadeeshan +3
High lexical variation, ambiguous references, and long-range dependencies make entity resolution in literary texts particularly challenging. We present MahÄnÄma, the first large-…
Vedavani: A Benchmark Corpus for ASR on Vedic Sanskrit Poetry
Sujeet Kumar, Pretam Ray, Abhinay Beerukuri +3
Sanskrit, an ancient language with a rich linguistic heritage, presents unique challenges for automatic speech recognition (ASR) due to its phonemic complexity and the phonetic tra…