A Bottom Up approach to Persian Stemming

نویسندگان

  • Amir Azim Sharifloo
  • Mehrnoush Shamsfard
چکیده

Stemmers have many applications in natural language processing and some fields such as information retrieval. Many algorithms have been proposed for stemming. In this paper, we propose a new algorithm for Persian language. Our algorithm is a bottom up algorithm that is capable to reorganize without changing the implementation. Our experiments show that the proposed algorithm has a suitable result in stemming and flexibility.

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تاریخ انتشار 2008