Strong Personal Anaphora Resolution in Pashto Discourse

Abstract

Treatment of natural languages by computer is a difficult task because natural languages are complex, context sensitive and abstract. Rationale behind anaphora resolution is to make languages easier for computer to comprehend and process them further. This paper is focused on an algorithm for personal anaphora resolution and some important factors that play a major role in the resolution process. The algorithm resolves strong 1st person (PI), 2nd person (P2) and 3rd person (P3) pronouns in Pashto language in their direct, oblique and possessive cases. The algorithm has been tested on real world text taken from novels and newspapers and showed an accuracy of 80%.