A Systematic Review of Stemmers of Indian and Non-Indian Vernacular Languages

The stemming process is crucial and significant in the pre-processing step of natural language processing. stemmer oversees process. It facilitates extraction morphological variants a root or base word from provided word. Over period, several stemmers for various vernacular languages have been proposed. However, very few research studies comprehensively investigated these available stemmers. This paper makes multifold contributions. First, we discuss 15 Indian 17 non-Indian describing their key points, benefits, drawbacks. All which built are covered this study. For languages, commonly spoken covered. Second, present language-wise comparative analysis based on our identified parameters. Third, wordnets dictionaries different languages. Fourth, provide details datasets Fifth, also challenges existing future directions researchers. study presented reveals that has carried out influential such as English, Arabic, Urdu. On other hand, with limited resources, Farsi, Polish, Odia, Amharic, others, received least attention research. Moreover, rigorous most suffer over-stemming errors. With complete catalogue stemmers, aims to assist researchers professionals working areas information retrieval, semantic annotation, meaning disambiguation, ontology learning.