The paper describes a set of methods to automatically acquire the Urdu nouns (and its gender) on the basis of inflectional and contextual clues. The algorithms used are a blend of computer's brute force on the corpus and careful design of distinguishing rules on the basis linguistic knowledge. As there are homograph inflections for Urdu nouns, adjectives and verbs, we compare potential inflecti...

This paper examines print media coverage of Tharparker Famine 2014 occurred in the Sindh province of Pakistan. The research observes the magnitude and patterns of media coverage in the wake of famine. It explores extensively the discourse of famine in English and Urdu media. Moreover, it entails the issues highlighted or overlooked in this regard. For this purpose, four widely circulated newspa...

OBJECTIVE Patient education is a key element in the treatment of diabetes. Assessment of diabetes knowledge is important for optimum treatment. For the assessment of diabetes knowledge, validated tool is essential. None of such validated tool is available in Urdu language. Therefore, the aim of this study was to translate and examine the psychometric properties of the 24-item Urdu version of Di...

In this paper we survey the various ways of expressing modality in Urdu/Hindi and show that Urdu/Hindi modals provide interesting insights on current discussions of the semantics of modality. There are very few dedicated modals in Urdu/Hindi: most of which has been arrived at constructionally via a combination of a certain kind of verb with a certain kind of embedded verb form and a certain kin...

Improvements and new developments in the field of Artificial Intelligence have opened new horizons in the advancement of machines that originally have limited intelligence. As compared to human brain, machines have already better computational speed and storage however there is still much room to improve the capability to acquire and process data and draw conclusions from it on its own. Optical...

The ongoing development of audio datasets for numerous languages has spurred research activities towards designing smart speech recognition systems. A typical system can be applied in many emerging applications, such as smartphone dialing, airline reservations, and automatic wheelchairs, among others. Urdu is a national language Pakistan also widely spoken other South Asian countries (e.g., Ind...

Automatic recognition of cursive handwritten script remains a challenging problem even with the promising improvement in classifier and computational power. Segmentation based approach for recognition of handwritten Urdu script has considerable computational overhead and has lower accuracy as compared to Roman and Chinese script due to additional segmentation error. Presence of complimentary ch...

The statistical machine translation approach is highly popular in automatic translation research area and promising approach to yield good accuracy. Efforts have been made to develop Urdu to Punjabi statistical machine translation system. The system is based on an incremental training approach to train the statistical model. In place of the parallel sentences corpus has manually mapped phrases ...

Rosenberg Self-Esteem Scale (RSES) is most renowned measure of self-esteem and available in many languages including Urdu [1,2]. This research is conducted to analyze the psychometric properties of Urdu RSES. Data of 375 university students including 205 males and 170 females were taken from different public sector universities of Karachi, Pakistan. The respondents’ age ranges from18 to 35 year...

We present a statistical system for identifying the semantic relationships or semantic roles for two major Indian Languages, Hindi and Urdu. Given an input sentence and a predicate/verb, the system first identifies the arguments pertaining to that verb and then classifies it into one of the semantic labels which can either be a DOER, THEME, LOCATIVE, CAUSE, PURPOSE etc. The system is based on 2...