Stemming is one of the basic steps in natural language processing applications such as
information retrieval, parts of speech tagging, syntactic parsing and machine translation, etc …

Urdu language is used by approximately 200 million people for spoken and written
communications. The bulk of unstructured Urdu textual data is available in the world. We can …

This paper presents an unsupervised approach for the development of a stemmer (For the
case of Urdu & Marathi language). Especially, during last few years, a wide range of …

In information retrieval (IR), documents that match the query are retrieved. Search engines
usually conflate word variants into a common stem when indexing documents because …

Word stemming is one of the most significant factors that affect the performance of a Natural
Language Processing (NLP) application such as Information Retrieval (IR) system, part of …

Persian text is usually associated with a wide range of important or useless features. This is
the main reason why feature extraction process is one of the difficult tasks in the field of …

This paper explains the challenges pertaining to Urdu stemming and presents a rule-based
prototype with a few rules implemented for Urdu to motivate the intricacies. It shows that …

This paper describes a thesis proposal to do concept search in non English and non
European languages. Urdu is chosen as an example language because of its unique …

Persian is a challenging language in the field of NLP. Right-to-left orthography, complex
morphology, complicated grammatical rules, and different forms of letters make it an …

Urdu language raises several challenges to Natural Language Processing (NLP) largely
due to its rich morphology. In this language, morphological processing becomes particularly …