Mohammad Abid Khan

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Handling of human language by computer is a very intricate and complex task. In natural languages, sentences are usually part of discourse units just as words are part of sentences. Anaphora resolution plays a significant role in discourse analysis for chopping larger discourse units into smaller ones. This process is done for the purpose of better(More)
A Probabilistic Context Free Grammar (PCFG) for Urdu is developed from an already developed Context Free Grammar (CFG) for sentences and phrases. Probabilities are assigned to the rules and two new terms i.e. special weights and special probability are introduced and assigned to few rules. Weights are assigned to rules after performing calculations based on(More)
Organizations and individuals are mainly concerned to get opinions about different products, services and events for making suitable choices. The main contribution of this research is the design of an ontology that will help a user to select appropriate (popular) tools for web designing on the basis of certain characteristics and features of tools. The(More)
Computational treatment of natural languages is a very challenging task. For effective machine translation of multi-sentential discourse units from a source language into some target language, resolution of anaphoric expressions is of crucial importance. This paper presents the computational treatment of the rarely studied form of pronominal reference(More)
This paper provides an overview of the development of a general-purpose reference corpus for Pashto. It is an open-ended (monitor) corpus. The corpus currently contains 10,000 words. It has two cells, one containing essays and the other letters. This corpus represents Yousafzai group of dialects and the data for it has been provided by the Pashto Academy,(More)
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