1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2026
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…
cs.CL2026★ 1 cited
MITRA: A Large-Scale Parallel Corpus and Multilingual Pretrained Language Model for Machine Translation and Semantic Retrieval for Pāli, Sanskrit, Buddhist Chinese, and Tibetan
Sebastian Nehrdich, Kurt Keutzer
Ancient Buddhist literature features frequent, yet often unannotated, textual parallels spread across diverse languages: Sanskrit, Pāli, Buddhist Chinese, Tibetan, and more. The sc…
cs.CL2024
One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP Tasks
Sebastian Nehrdich, Oliver Hellwig, Kurt Keutzer
Morphologically rich languages are notoriously challenging to process for downstream NLP applications. This paper presents a new pretrained language model, ByT5-Sanskrit, designed…