A Generic Anaphora Resolution Engine for Indian Languages

In this paper, we present a generic anaphora engine for Indian languages, wh ich are mostly resource poor languages. We have analysed the similarit ies and variations between pronouns and their agreement with antecedents in Indian languages. The generic algorithm developed uses the morphological richness of Indian languages. The machine learn ing approach uses the features which c an handle major Indian languages. We have tested the system with Indo-Aryan and Dravidian languages namely Bengali, Hindi and Tamil. The results are encouraging.

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