Anaphor Resolution in Arabic using A Hybrid approach

Anaphora resolution is the process of identifying the antecedent of a given anaphora. It is a challenging task in Natural Language Processing (NLP).The present book focuses on Arabic Anaphora resolution which is an important required task for many NLP application such as machine translation, information extraction. Even though a significant amount of work has been applied in English and other European languages, work specifically in Arabic is limited. This book proposes a hybrid of machine learning and rule base approach that successfully resolve Arabic anaphora by identifying new linguistic rules that consider anaphora referents and Arabic characteristics and determining the optimal features via machine learning approach. In this book, the challenges and barriers of Arabic anaphora are discussed. It also Provides a detailed study on the set of features to be used in this task via explore the suitable techniques of machine learning. The hybrid approach involved has also been taken up based on a twin candidate model (TCM) and linguistic rules to resolve Arabic anaphora.