Date of Publication :5th January 2025

Abstract: This paper reviews the existing methods and approaches involved in Punjabi text summarization, particularly focusing on the Gurumukhi script. We review various extractive summarization approaches, including Term Frequency-Inverse Document Frequency (TF-IDF), graph-based methods like TextRank, and machine learning models. The aim is to provide a comprehensive overview of existing strategies and highlight their applicability to Punjabi text. Through detailed analysis and comparison, the paper identifies key challenges and identifies potential solutions to enhance summarization quality for texts written in Gurumukhi.

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