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 ...

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...

In this paper we have presented a novel segmentation technique for the implementation of an OCR (Optical Character Recognition) for printed Nastalique text, a calligraphic style of Urdu which uses the Arabic script for its writing. OCR for many of the world major languages have been developed and are being used but at present an OCR for Nastalique is not available and the published research on ...

Internet is one of the major sources of information for the person belonging to almost all the fields of life. Major language that is used to publish information on internet is language. This thing becomes a problem in a country like Pakistan, where Urdu is the national language. Only 10% of Pakistan mass can understand English. The reason is millions of people are deprived of precious informat...

Proliferation of multilingual text on the Internet has increased the demand for efficient information retrieval independent of language. Among variety of languages, the Urdu language is one of the most commonly spoken and written language in South Asia. However, due to unstructured format the access of relevant information is still a big challenge. The semantic web technologies enable the advan...

This paper presents a segmentation-free optical character recognition system for printed Urdu Nastaliq font using ligatures as units of recognition. The proposed technique relies on statistical features and employs Hidden Markov Models for classification. A total of 1525 unique high-frequency Urdu ligatures from the standard Urdu Printed Text Images (UPTI) database are considered in our study. ...

Background: The purpose of this study was to cognitively test the Urdu and English language versions of a survey to assess colon cancer screening behaviours among South Asian immigrants in Canada. Methods: The Colon Cancer Screening Behaviours Survey was cross-culturally translated and adapted into the Urdu language followed by cognitive interviews using an evidence-informed cross-cultural cogn...

This paper incorporates a detailed analysis of existing work on Hindi to Urdu transliteration systems and finds the enhancements they required. It lists the issues that are beyond the scope of character by character mapping. The issues include multiple same sound Urdu characters against one Hindi character. Moreover, it deals with the issues when the same word or words are written in two differ...