An evaluation method for stemming algorithms
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Stemming algorithms: a case study for detailed evaluation
Journal of the American Society for Information Science - Special issue: evaluation of information retrieval systems
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Persian POS tagging using probabilistic morphological analysis
International Journal of Computer Applications in Technology
Ad hoc information retrieval for Persian
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
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Stemmers are softwares that find syntactic roots of the words. They play an important role in natural language processing and other fields such as information retrieval (IR), In IR using stemmed words instead of the original words, could increase as much as 15 percent to the overall performance. In this paper, we report on the development of a Persian stemmer (Bon). Bon is tested on a collection of Persian texts in the domain of computer science. In our experiments, the recall has been improved by 40 percent.