A New Method for Stemming in Persian Language Considering Exceptions

نویسندگان

  • Somayye Estahbanati
  • Reza Javidan
  • Mashalla Abbasi
  • Kazem Taghva
  • Russell Beckley
چکیده

In this paper a new algorithm for stemming in Farsi language is presented. This stemmer is based on removing the suffixes and prefixes but a database is used to save the exceptions to decrease error rate. In the proposed method the speed of stemmer and also the percentage of errors are improved. The evaluation results on a small Farsi document collection show significant improvement in precision/recall.

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تاریخ انتشار 2011