A Systematic Study and Analysis of Bengali Folklore with Natural Language Processing Systems
This addresses the problem of preserving and analyzing Bengali folklore for researchers and the public, but it is incremental as it applies existing NLP methods to a new dataset.
The study tackled the lack of computational analysis of Bengali folklore by applying natural language processing (NLP) systems, resulting in the first model specifically designed for this domain to make the folklore more accessible.
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.