Efficient Assamese Word Recognition for Societal Empowerment: A Comparative Feature-Based Analysis by Naiwrita Borah, Udayan Baruah, Mahesh Thylore Ramakrishna, V. Vinoth Kumar, D. Ramya Dorai, Jonnakuti Rajkumar Annad

“…The main aim of this project is to improve word recognition technologies in Indic languages, specifically focusing on Assamese, in order to preserve and provide access to Assamese literature for future generations. The classification procedure entails the examination of 19 shape-related attributes through a range of machine learning algorithms, such as Logistic Regression, Decision Trees, Random Forest, Support Vector Machine (SVM) with various kernels, K Nearest Neighbors, and Gradient Boosting. …”
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