6 papers
Padamitra: Grounded Glossary Generation for Classical Sanskrit
Manoj Balaji Jagadeeshan, Sai Pragnaan Marala, Pawan Goyal
We introduce grounded glossary generation, a structured task requiring models to recover semantically meaningful Sanskrit phrases and produce translation-grounded meanings from a s…
Padārtha: Ontology-Grounded Fine-Grained NER Benchmark for Classical Sanskrit
Sujoy Sarkar, Pretam Ray, Paramhans Shah +4
Annotation schemas are not neutral. When applied to classical literature, tag sets developed for modern journalistic texts impose source-culture definitions on texts they were neve…
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…
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…
Mahānāma: 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 Mahānāma, the first large-sc…