Abstract
Annotated corpora are greatly required for the development of various applications of NLP. This paper concentrates on creating corpus for anaphora resolution which is required in automatic question answering, machine translation, and summarization. The work presented in this study is based on annotating Punjabi corpora with morphological information, POS tagging, and anaphoric links. We also propose to add additional features like animacy, NER, and pronoun type which will be used for machine learning module. Our aim is to build a real corpus that will be used for training and evaluation of anaphora resolution for Punjabi language focusing on pronominal resolution.
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