Implementation of a new method for stemming in Persian language

Authors:
Asieh Estahbanati;Reza Javidan;Mashalla Abbasi Dezfooli
Affiliations:
Islamic Azad University, Khoosestan Science and Research Branch;Islamic Azad University, Beyza Branch, Fars - Iran;Islamic Azad University, Khoosestan Science and Research Branch
Venue:
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Year:
2011

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Abstract

In this paper, a new stemmer algorithm for the Persian language is implemented. It is based on Kazem Taghva algorithm. The evaluation results of the proposed method on the small Farsi document collections are acceptable. But some problems in the morphological based stemmers in Farsi language are found. So some methods are proposed to solve these problems.