A new hybrid stemming algorithm for Persian
This is an incremental improvement for Persian language processing in information retrieval and search engines.
The paper tackled the problem of improving stemming for Persian by developing a hybrid algorithm that combines dictionary-based and rule-based methods, resulting in enhanced efficacy and accuracy.
Stemming has been an influential part in Information retrieval and search engines. There have been tremendous endeavours in making stemmer that are both efficient and accurate. Stemmers can have three method in stemming, Dictionary based stemmer, statistical-based stemmers, and rule-based stemmers. This paper aims at building a hybrid stemmer that uses both Dictionary based method and rule-based method for stemming. This ultimately helps the efficacy and accurateness of the stemmer.