A Systematic Study and Analysis of Bengali Folklore with Natural Language Processing Systems
Mustain Billah, Md. Mynoddin, Mostafijur Rahman Akhond, Md. Nasim, Adnan, Syed Md. Galib, Rizwanur Rahad, M Nurujjaman Khan

TL;DR
This paper presents a systematic study and analysis of Bengali folklore using natural language processing techniques, aiming to enhance understanding and preservation of Bengali cultural heritage through computational methods.
Contribution
It introduces the first specific NLP model tailored for Bengali folklore analysis, advancing computational approaches in Bengali language processing.
Findings
Initial steps towards Bengali folklore NLP analysis
Enhanced understanding of Bengali cultural texts
Foundation for future folklore preservation tools
Abstract
Folklore, a solid branch of folk literature, is the hallmark of any nation or any society. Such as oral tradition; as proverbs or jokes, it also includes material culture as well as traditional folk beliefs, and various customs. Bengali folklore is as rich in-depth as it is amazing. Nevertheless, in the womb of time, it is determined to sustain its existence. Therefore, our aim in this study is to make our rich folklore more comprehensible to everyone in a more sophisticated computational way. Some studies concluded various aspects of the Bengali language with NLP. Our proposed model is to be specific for Bengali folklore. Technically, it will be the first step towards Bengali natural language processing for studying and analyzing the folklore of Bengal.
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Taxonomy
TopicsNatural Language Processing Techniques · Video Analysis and Summarization
