This paper describes our efforts for the development of a Proposition Bank for Urdu, an Indo-Aryan language. Our primary goal is the labeling of syntactic nodes in the existing Urdu dependency Treebank with specific argument labels. In essence, it involves annotation of predicate argument structures of both simple and complex predicates in the Treebank corpus. In this paper, we describe the ove...

Statistical Machine Translation (SMT) relies on the availability of rich parallel corpora. However, in the case of under-resourced languages or some specific domains, parallel corpora are not readily available. This leads to under-performing machine translation systems in those sparse data settings. To overcome the low availability of parallel resources the machine translation community has rec...

Named Entity Recognition or Extraction (NER) is an important task for automated text processing for industries and academia engaged in the field of language processing, intelligence gathering and Bioinformatics. In this paper we discuss the general problem of Named Entity Recognition, more specifically the challenges in NER in languages that do not have language resources e.g. large annotated c...

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. In the pro...

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...

This study examined differences in residence, marriage age, and education among 6 language groups (Balochi-Brohi, Urdu, Siraiki, Punjabi, Sindhi, and Pushto) in Pakistan. Ethnic differences were reported for fertility preferences and family planning attitudes, knowledge, and practices. Data were obtained from the 1990-91 Pakistan Demographic and Health Survey among 6582 eligible ever-married ...

This paper presents Rule based Urdu Stemmer. In this technique rules are applied to remove suffix and prefix from the inflected words. Urdu is well spoken language all over the world but less work has been done on Urdu stemming. Stemmer helps us to find the root of the inflected word. Various possibilities of inflected words like ںو (vao+noon-gunna), ے (badi-ye), ںای (choti-ye+alif+noon-gunna) ...

A new large Urdu handwriting database, which includes isolated digits, numeral strings with/without decimal points, five special symbols, 44 isolated characters, 57 Urdu words (mostly financial related), and Urdu dates in different patterns, was designed at Centre for Pattern Recognition and Machine Intelligence (CENPARMI). It is the first database for Urdu off-line handwriting recognition. It ...

This work presents the development and evaluation of an extended Urdu parser. It further focuses on issues related to this parser and describes the changes made in the Earley algorithm to get accurate and relevant results from the Urdu parser. The parser makes use of a morphologically rich context free grammar extracted from a linguistically-rich Urdu treebank. This grammar with sufficient enco...

The raw Urdu corpus comprises of irregular and large sentences which need to be properly segmented in order to make them useful in Natural Language Engineering (NLE). This makes the Compound Sentences Segmentation (CSS) timely and vital research topic. The existing online text processing tools are developed mostly for computationally developed languages such as English, Japanese and Spanish etc...