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Design and Development of a Stemmer for Punjabi
Author(s) -
Dinesh Kumar,
Prince Rana
Publication year - 2010
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/1634-2196
Subject(s) - computer science , artificial intelligence , natural language processing
Stemming is the process of removing the affixes from inflected words, without doing complete morphological analysis. A stemming Algorithm is a procedure to reduce all words with the same stem to a common form [20]. It is useful in many areas of computational linguistics and information-retrieval work. This technique is used by the various search engines to find the best solution for a problem. The algorithm is a basic building block for the stemmer. Stemmer is basically used in information retrieval system to improve the performance .The paper present a stemmer for Punjabi, which uses a brute force algorithm. We also use a suffix stripping technique in our paper. Similar techniques can be used to make stemmer for other languages such as Hindi, Bengali and Marathi. The result of stemmer is good and it can be effective in information retrieval system. This stemmer also reduces the problem of over-stemming and under-stemming.

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