Urdu language raises several challenges to Natural Language Processing (NLP) largely due to its rich morphology. In this language, morphological processing becomes particularly important for Information Retrieval (IR). The core tool of IR is a Stemmer which reduces a word to its stem form. Due to the diverse nature of Urdu, developing stemmer is a challenging task. In Urdu, there are large numbers of variant forms (derivational and inflectional forms) for a single word form. The aim of this paper is to present issues pertaining to the development of Urdu stemmer (rule based stemmer).
Khan et al REF presented several challenges for developing a rule based Urdu Stemmer.
Challenges in Developing a Rule based Urdu Stemmer
Computer Science