Unsupervised Kannada Stemmer using Partial Lemmatizer and Indo – WordNet
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 12
Abstract
Stemming is basically an operation that converts morphologically related words to a common stem or root word by removing their suffixes or prefixes, but it is not necessary that root or stem is a proper dictionary word. The algorithm proposed in this paper overcome this problem by embedding partial lemmatizer with stemmer. It also makes use of Indo WordNet to determine the proper root word. An unsupervised approach is used in this algorithm and it is implemented for the Kannada language. Since it is an unsupervised method, so this idea can be used to design stemmer for other than the Kannada language also.
Authors and Affiliations
B H Manjunatha Kumar, Dr. M. Siddappa, Dr. J. Prakash
Keywords
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- EP ID EP393215
- DOI 10.9790/9622-0712053942.
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