Rhyme detection of Hindi and Rajasthani Poems using Statistical-Based Methods

Poetry is a kind of expression that may be used to convey our sentiments and emotions. Poetry makes up a significant portion of the canon of published works in each given language. Poetry can be clearly differentiated by humans even in the absence of any kind of specialist equipment, and this is one of its most important aspects of it. In the present article, the problem of poetry identification was accomplished using Hindi and Rajasthani corpora. Rhyme and wave frequencies are taken into consideration when developing corpora. The identification of poems is accomplished by comparing their textual content to that of trained corpora. The objective here is to accurately identify poems and extract poetic elements from them. This study first reviews the many rhyming detection methods already in use, followed by the introduction of our unique statistical-based approach, which is then evaluated against several supervised learning methods using MATLAB.