![]() ![]() ![]() Apart from this, examples of the detected Hindi verses are also populated to understand the detected Hindi Verse better. ![]() With the integration of the wordnet, the meanings of the words and example sentences of the respective words are also included in the automatic metadata. Along with that, stopword filtering is also incorporated. After collecting, identifying, and manually validating the rules through the manual calculations of each rule found from the different sources, the structure is created to make it usable for research purposes.įurther, the construction rules of Hindi Verses are rule-based modeled, through which the detection and identification of the Hindi Verses take place. This research work tried to generate the hierarchical structure for the Hindi verses and put the appropriate Hindi Verses in the relevant classes. Unfortunately, due to the lack of proper management and documentation, this is slowly getting extinct. The hidden knowledge behind the writing mechanics of Hindi verses is coming from the long back times of the ‘Vedas’ and ‘Puranas’. In this research work, the primary focus is on the Hindi Verses (‘Ch- hand’). The research work is carried out with the mixed approach of a combination of Natural Language Processing and Computational Linguistics as per the demand of the research problem. The research work presents the mechanism for the automatic metadata generation for Hindi poetry. ![]()
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