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 …

This paper presentsacomparative study of feature selection methods for Urdu text
categorization. Fivewellknownfeature selection methods were analyzedby means …

Efficient feature selection is an important phase of designing an effective text categorization
system. Various feature selection methods have been proposed for selecting dissimilar …

Urdu is a widely spoken language in the Indian subcontinent with over 300 million speakers
worldwide. However, linguistic advancements in Urdu are rare compared to those in other …

This paper adds to the available resources for the under-resourced language Urdu by
converting different types of existing treebanks for Urdu into a common format that is based …

One of the important resources required for various Natural Language Processing (NLP)
applications like machine translation, information retrieval and text mining, is annotated text …

This work presents the development and evaluation of an extended Urdu parser. It further
focuses on issues related to this parser and describes the changes made in the Earley …

A number of natural language processing tools for Urdu language processing have been
developed in the past few years for word segmentation, part of speech tagging, chunking …

This article presents an analysis of experiments with statistical and neural parsing
techniques for Urdu, a widely spoken South Asian language. We demonstrate state of the art …

Proliferation of multilingual text on the Internet has increased the demand for efficient
information retrieval independent of language. Among variety of languages, the Urdu …