An Optimal Order of Factors for the Computational Treatment of Personal Anaphoric Devices in Urdu Discourse

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 understanding and making easier the further processing of text by computer. This paper is focused on the discussion of various factors and their optimal order that play an important role in personal anaphora resolution in Urdu. Algorithms are developed that resolves pronominal anaphoric devices with 77-80% success rate.