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cs.CL2026
Back-Translation Still Matters: Leveraging Monolingual Data for Low-Resource Machine Translation with LLMs
Divyanshu Bathla, Parag Singla, Jitin Singla
Pre-trained Large Language Model (LLMs) are effective on many tasks in zero-shot and few-shot settings. For machine translation of low-resource languages, the obvious options are f…
cs.CL2026
Samasāmayik: A Parallel Dataset for Hindi-Sanskrit Machine Translation
N J Karthika, Keerthana Suryanarayanan, Jahanvi Purohit +3
We release Samasāmayik, a novel, meticulously curated, large-scale Hindi-Sanskrit corpus, comprising 92,196 parallel sentences. Unlike most data available in Sanskrit, which focuse…