One of the main motivations for building treebanks is that they facilitate the development of syntactic parsers, by providing realistic data for evaluation as well as inductive learning. In this paper we present what we believe to be the first data-driven dependency parser for Urdu, which has developed using MaltParser system and trained and evaluated on data from Urdu dependency treebank. A 40...

Text Segmentation is one of the critical and vital step in OCR system of any language because accuracy of OCR depends upon correctly segmented characters. Segmentation divide the text images into its constituent parts (i.e. lines, components or words and individual characters). As Urdu and Arabic are highly cursive and context sensitive in nature and have improper space between words therefore,...

Preprocessing is a preliminary step in many fields including IR and NLP. The effect of basic preprocessing settings on English for text summarization is well-studied. However, there is no such effort found for the Urdu language (with the best of our knowledge). In this study, we analyze the effect of basic preprocessing settings for single-document text summarization for Urdu, on a benchmark co...

This work is first attempt towards English to Urdu Machine Translation (MT) using example based approach. We have developed an interactive MT system to facilitate the user to customize the translation to his needs, thereby improving the performance of the translation. Our MT system supports idioms, homographs, and some other features in addition to the ability of the bilingual corpus to evolve....

The present research was conducted to study the correlation between language competency, speech disability and personality characteristics that affect personal and social adjustment. It was hypothesized that less language competency will be found in the speech disabled group and they were likely to score high on clinical scales of MMPI as compared to the normal group. For this purpose in the fi...

Text to Speech Synthesis along with the Speech Recognition is widely used throughout the world to enhance the accessibility of the information and enable even the disabled persons to interact with the computers in order to get the potential benefit from this high-tech revolution. In this paper we introduce a bi-lingual novel algorithm for the synthesis of Urdu and Sindhi language text. The devi...

Text-to-speech (TTS) systems for many widely spoken languages have been developed and evolved over the last few decades. Such systems are being used in many different fields. Since these TTS systems have differences in the perceived sound quality, many speech quality test methods have been proposed to compare and evaluate their performance. Test materials for these tests, however, are language ...

In this paper, two corpora of Urdu (with 110K and 120K words) tagged with different POS tagsets are used to train TnT and Tree taggers. Error analysis of both taggers is done to identify frequent confusions in tagging. Based on the analysis of tagging, and syntactic structure of Urdu, a more refined tagset is derived. The existing tagged corpora are tagged with the new tagset to develop a singl...