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@article{143761,
        author = {Mounika S and B H Manjunath Kumar},
        title = {Unsupervised Stemmer for Kannada Language},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {1},
        pages = {146-148},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143761},
        abstract = {The Information storage in the internet is increasing day by day. Information Retrieval (IR) is the process which is used to get the information through internet. Stemmer is the basic Natural Language Processing (NLP) tool for achieving IR in a simple manner. Even though Kannada is a language rich in literature, its resources are poor when viewed through the prism of computational linguistics. The development of NLP in Kannada language is not explored much and is in the beginning stage compared to other Indian languages.This paper presents an unsupervised approach for the development of a stemmer for Kannada Language. The proposed algorithm is very simple which can be used with other Indian languages},
        keywords = {Stemming, Kannada Language, Information Retrieval, Over-stemming, Under-stemming},
        month = {},
        }