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...

Today the most accurate error correction techniques are statistical. But for low resourced languages like Urdu, where training error corpora are not available, statistical techniques are out of the question. Rule based techniques that exploit spelling error trends provide a useful alternative. The study of error patterns in a language is an essential prerequisite for designing such techniques. ...

Urdu is amongst the five largest languages of the world and enjoys extreme importance by sharing its vocabulary with several other languages of the Indo-Pak. However, there has not been any significant research in the area of Automatic Speech Recognition of Urdu. This paper presents the statistical based classification technique to achieve the task of Automatic Speech Recognition of isolated wo...

Speech Recognition for Urdu language is an interesting and less developed task. This is primarily due to the fact that linguistic resources such as rich corpus are not available for Urdu. Yet, few attempts have been made for developing Urdu speech recognition frameworks using the traditional approaches such as Hidden Markov Models and Neural Networks. In this work, we investigate the use of thr...

Detecting the communicative intent behind user queries is critically required by search engines to understand a user’s goal and retrieve desired results. Due increased web searching in local languages, there an emerging need support language understanding for languages other than English. This article presents distinctive, capsule neural network architecture detection from Urdu, widely spoken S...

This paper presents a technique for Word segmentation for the Urdu OCR system. Word segmentation or word tokenization is a preliminary task for understanding the meanings of sentences in Urdu language processing. Several techniques are available for word segmentation in other languages but not much work has been done for word segmentation of Urdu Optical Character Recognition (OCR) System. A me...

Title of Document: MOVEMENT AND INTERVENTION EFFECTS: EVIDENCE FROM HINDI/URDU. Shiti Malhotra, Doctor of Philosophy, 2011 Directed By: Professor Norbert Hornstein Professor Howard Lasnik Department of Linguistics The purpose of this dissertation is to explore the nature of intervention effects seen in various constructions like Wh-scope marking, raising and passivization. In particular, this d...

The diversity in source and target languages coupled with source language ambiguity makes Machine Translation (MT) an exceptionally hard problem. The highly information intensive corpus based MT leads the MT research field today, with Example Based MT and Statistical MT representing two dissimilar frameworks in the data-driven paradigm. Example Based MT is another approach that involves matchin...

Part-of-speech (POS) tagging is the process of labelling tokens in a text with tags that indicate their morphosyntactic category, and has a wide range of applications in computational and corpus linguistics, such as the production of corpus-based dictionaries and grammars. This paper describes an experiment in extending POS tagging to a hitherto untagged language, Urdu. The most challenging tas...