Urdu is spoken by more than 100 million people across a score countries and is the national language of Pakistan (http://www. ethnologue.com). There is a great need for developing a text-to-speech system for Urdu because this population has low literacy rate and therefore speech interface would greatly assist in providing them access to information. One of the significant parts of a text-to-spe...

We are interested in contributing a small, publicly available Urdu corpus of written text to the natural language processing community. The Urdu text is stored in the Unicode character set, in its native Arabic script, and marked up according to the Corpus Encoding Standard (CES) XML Document Type Definition (DTD). All the tags and metadata are in English. To date, the corpus is made entirely o...

This paper deals with an Optical Character Recognition system for printed Urdu, a popular Pakistani/Indian script and is the third largest understandable language in the world, especially in the subcontinent but fewer efforts are made to make it understandable to computers. Lot of work has been done in the field of literature and Islamic studies in Urdu, which has to be computerized. Research h...

In this paper, the development and evaluation of the Urdu parser is presented along with the comparison of existing resources for the language variants Urdu/Hindi. This parser was given a linguistically rich grammar extracted from a treebank. This context free grammar with sufficient encoded information is comparable with the state of the art parsing requirements for morphologically rich and cl...

This paper presents the semi-semantic part of speech annotation and its evaluation via Krippendorff’s α for the URDU.KON-TB treebank developed for the South Asian language Urdu. The part of speech annotation with the additional subcategories of morphology and semantics provides a treebank with sufficient encoded information. The corpus used is collected from the Urdu Wikipedia and news papers. ...

Language resources, such as corpora, are important for various natural language processing tasks. Urdu has millions of speakers around the world but it is under-resourced in terms of standard evaluation resources. This paper reports the construction of a benchmark corpus for Urdu summaries (abstracts) to facilitate the development and evaluation of single document summarization systems for Urdu...

Transliteration is a process of transcribing a word of the source language into the target language such that when the native speaker of the target language pronounces it, it sounds as the native pronunciation of the source word. Statistical techniques have brought significant advances and have made real progress in various fields of Natural Language Processing (NLP). In this paper, we have ana...

Natural language processing has widely used Statistical based language models to solve disambiguation problems. Over the past decades different techniques regarding POS tagging have been proposed for English, European and East Asian languages. In this paper our focus is POS tagging for Urdu due to the infancy stage of Urdu language based tagging system. We have combined two approaches (Statisti...

This paper presents an online system for recognizing isolated, hand-sketched Urdu characters drawn on a Tablet PC. Attributes of Urdu characters are analyzed to define a set of features which are then trained and classified using a weighted, linear classifier. As a proof of concept, we have integrated our recognition algorithm into an application used to help people learn the Urdu language. Pre...