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In this work, we develop language models for the Sanskrit language, namelyBidirectional Encoder Representations from Transformers (BERT) and itsvariants: A Lite BERT (ALBERT), and Robustly Optimized BERT (RoBERTa) usingDevanagari Sanskrit text corpus. Then we extracted the features for the giventext from these models. We applied the dimensional reduction and clusteringtechniques on the features to generate an extractive summary for a givenSanskrit document. Along with the extractive text summarization techniques, wehave also created and released a Sanskrit Devanagari text corpus publicly.

San-BERT: Extractive Summarization for Sanskrit Documents using BERT and it's variants