Work

Temporal information retrieval in Sanskrit using Rule-based approach

Year: 2025

Type: article

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.

Source: International Journal of Engineering in Computer Science

DOI: 10.33545/26633582.2025.v7.i1c.179

Authors: Anupama Sharma, Madan Lal

Institution: Punjabi University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4411461105

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