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1. Computational theory of short distance reflexive anaphoric devices in Urdu discourse for effective machine translation

Author

Mohammad Abid Khan, Mohammad Aamir Khan, and Mohammad Ali

Subjects
Machine translation, business.industry, Computer science, Resolution (logic), computer.software_genre, language.human_language, Task (project management), Antecedent (grammar), Reflexivity, Theory of computation, language, Artificial intelligence, Urdu, business, computer, Natural language, Natural language processing
Abstract

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 called reflexives. A knowledge-poor, rule-based algorithm has been developed to identify and resolve the reflexives in Urdu discourses. The proposed algorithm resolves the reflexives in Urdu discourses with more than 85% accuracy.

Published
2009
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