Temporal information retrieval in Sanskrit using Rule-based approach

Abstract

Identification of temporal expressions is a significant task in NLP (Natural language processing), especially when it comes to comprehending time-related expressions in texts. This study provides a rule-based approach to extract temporal expressions in Sanskrit language. The accuracy of the system is accessed on a selected dataset by using regular expressions (regex) to correlate preset temporal keywords along with their morphological variants.