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SansTib, a Sanskrit - Tibetan Parallel Corpus and Bilingual Sentence Embedding Model
Proceedings of the Thirteenth International Conference on Language Resources and Evaluation (LREC 2022)
Abstract
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.