SansTib, a Sanskrit - Tibetan Parallel Corpus and Bilingual Sentence Embedding Model
Published in Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
This paper presents the development of SansTib, a Sanskrit - Classical Tibetan parallel corpus automatically aligned on sentence-level, and a bilingual sentence embedding model. The corpus has a size of about 317,289 sentence pairs and 14,420,771 tokens and thereby is a considerable improvement over previous resources for these two languages. The data is incorporated into the BuddhaNexus database to make it accessible to a larger audience. It also presents a gold evaluation dataset and assesses the quality of the automatic alignment.
Recommended citation: Nehrdich, S. (2022). "SansTib, a Sanskrit - Tibetan Parallel Corpus and Bilingual Sentence Embedding Model." In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 6728-6734, Marseille, France. European Language Resources Association.
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