Design and Development of Lemmatizer for KannadaVachana Sahithya - A Hybrid Approach

This paper presents a hybrid approach for the design and development of Lemmatizer for Kannada Vachana Sahithya. Kannada has a rich literary history and is officially recognized as one of the India's classical languages. The existing work on Kannada Morphological Analysis and Lemmatization is conducted on Kannada nouns and verbs from “Kannada Shabdha Kosha” and Kannada text from Government Documents, Circulars and news from All India Radio. In this paper, a hybrid lemmatizer for Kannada Vachana Sahithya is designed and evaluated on an annotated dataset of 5,735 words. In 5735 words of KVS, 80% (4588) are considered for training and 20% (1147) words are used as testing data. The experimental results with the hybrid lemmatizer demonstrate that the proposed model achieves approximately 90% accuracy across various types of KVS input text.