Machine Translation (MT) is exigent because it involves several thorny subtasks such as intrinsic language ambiguities, linguistic complexities and diversities between source and target language. Usually MT depends upon rules that provide linguistic information. At present, the corpus based MT approaches are used that include techniques like Example Based MT (EBMT) and Statistical MT (SMT). In ...

Hindi and Urdu are variants of the same language, but while Hindi is written in the Devnagri script from left to right, Urdu is written in a script derived from a Persian modification of Arabic script written from right to left. The difference in the two scripts has created a script wedge as majority of Urdu speaking people in Pakistan cannot read Devnagri, and similarly the majority of Hindi s...

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...

Urdu is a distinct literary language began to develop in India during Mughal empire. Lots of people read, write and speak, this language in Indian subcontinent. This brief article will shed light on the seven rare books in Urdu compiled and published in the period from 19th century to the first half of the current century. Some books may not have high value but the struggle of the scholars, is ...

Urdu is a challenging language because of, first, its Perso-Arabic script and second, its morphological system having inherent grammatical forms and vocabulary of Arabic, Persian and the native languages of South Asia. This paper describes an implementation of the Urdu language as a software API, and we deal with orthography, morphology and the extraction of the lexicon. The morphology is imple...

URDU NAMED ENTITY RECOGNITION AND CLASSIFICATION SYSTEM USING CONDITIONAL RANDOM FIELD Muhammad Kamran Malik, Syed Mansoor Sarwar Punjab University College of Information Technology (PUCIT), University of the Punjab, Lahore Pakistan Corresponding Author: [email protected] ABSTRACT: Named Entity Recognition (NER) system for the Urdu language based on Conditional Random Field (CRF) is des...

This paper introduces an isolated and unique ancient language Burushaski, spoken in Hunza, Nagar, Yasin and parts of Gilgit in the Northern Areas of Pakistan. It explains the working mechanism of Multi Language Text Editor for Urdu and Burushaski. It is developed under the use of ISO/IEC 10646 Unicode standards for Urdu and Burushaski open-type fonts. It gives an ample opportunity to this regio...

We report in this paper a novel hybrid approach for Urdu to Hindi transliteration that combines finite-state machine (FSM) based techniques with statistical word language model based approach. The output from the FSM is filtered with the word language model to produce the correct Hindi output. The main problem handled is the case of omission of diacritical marks from the input Urdu text. Our sy...