Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation

• URL: http://arxiv.org/abs/2305.14004v2
• Date: Fri, 29 Mar 2024 16:42:53 GMT
• Title: Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation
• Authors: Ayush Maheshwari, Ashim Gupta, Amrith Krishna, Atul Kumar Singh, Ganesh Ramakrishnan, G. Anil Kumar, Jitin Singla,
• Abstract summary: S=amayik is a dataset of around 53,000 parallel English-Sanskrit sentences, written in contemporary prose. S=amayik is curated from a diverse range of domains, including language instruction material, textual teaching pedagogy, and online tutorials.
• Score: 30.315293326789828
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We release S\={a}mayik, a dataset of around 53,000 parallel English-Sanskrit sentences, written in contemporary prose. Sanskrit is a classical language still in sustenance and has a rich documented heritage. However, due to the limited availability of digitized content, it still remains a low-resource language. Existing Sanskrit corpora, whether monolingual or bilingual, have predominantly focused on poetry and offer limited coverage of contemporary written materials. S\={a}mayik is curated from a diverse range of domains, including language instruction material, textual teaching pedagogy, and online tutorials, among others. It stands out as a unique resource that specifically caters to the contemporary usage of Sanskrit, with a primary emphasis on prose writing. Translation models trained on our dataset demonstrate statistically significant improvements when translating out-of-domain contemporary corpora, outperforming models trained on older classical-era poetry datasets. Finally, we also release benchmark models by adapting four multilingual pre-trained models, three of them have not been previously exposed to Sanskrit for translating between English and Sanskrit while one of them is multi-lingual pre-trained translation model including English and Sanskrit. The dataset and source code is present at https://github.com/ayushbits/saamayik.

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