In this work, Portuguese, Polish, English, Urdu, and Arabic automatic speech recognition evaluation systems developed by the RWTH Aachen University are presented. Our LVCSR systems focus on various domains like broadcast news, spontaneous speech, and podcasts. All these systems but Urdu are used for Euronews and Skynews evaluations as part of the EUBridge project. Our previously developed LVCSR...

In this study, we present a brief overview of Named Entity Recognition (NER) system, various approaches followed for NER systems and finally NER systems for Urdu language. Urdu language raises several challenges to Natural Language Processing (NLP) largely due to its rich morphology. Research against NER systems in Urdu language is at infancy stage therefore the focus of this study is on challe...

-Natural Language Processing is the multidisciplinary area of Artificial Intelligence, Machine Learning and Computational Linguistic for processing human language automatically. It involves understanding and processing of human language. The way through which we share our contents or feelings have always great importance in understanding and processing of language. Parsing is the most suited ap...

This paper describes the development of HMM based speech synthesizer for Urdu language using the HTStoolkit. It describes the modifications needed to original HTS-Demo-scripts to port them, for Urdu language, which are currently available for English, Japanese and Portuguese. That includes the generation of the fullcontext style labels and the creation of the Question file for Urdu phone set. F...

This paper tries to give the brief overview of different kinds of speech synthesis systems (formant, concatenative and articulatory). General steps, which are involved in the synthesis, are discussed. Moreover, the Klatt synthesizer is also discussed in some detail. This paper also includes the synthesis of Urdu oral vowels (, , æ, , i, e, , o, , , ) using High Level synthesizer (HLSyn)....

along with the beginning of novel and short story writing in persian and urdu languages various literary movements like realism, social realism and surrealism overshadowed the contemporary literature of iran and pakistan. modern prose of persian and urdu consists of great assets from novels and short stories, and their considerable background . during various periods of the growth and prosperit...

Urdu language raises several challenges to Natural Language Processing (NLP) largely due to its rich morphology. In this language, morphological processing becomes particularly important for Information Retrieval (IR). The core tool of IR is a Stemmer which reduces a word to its stem form. Due to the diverse nature of Urdu, developing stemmer is a challenging task. In Urdu, there are large numb...

Urdu is a national language of Pakistan and spoken more than 200 million people use it as a verbal and written communication. There exists a large amount of unstructured Urdu textual data in the world; by applying data mining techniques useful information can be achieved. However it seriously lacks processing capabilities to develop innovative systems based on Urdu language. In this paper, auth...

This work aims at the development of a representative treebank for the South Asian language Urdu. Urdu is a comparatively under resourced language and the development of a reliable treebank for Urdu will have significant impact on the state-of-the-art for Urdu language processing. In URDU.KON-TB treebank described here, a POS tagset, a syntactic tagset and a functional tagset have been proposed...