A Machine Learning Approach to Anaphora Resolution in Nepali Language

In this paper, we attempt a machine learning (ML) approach to Anaphora Resolution (AR) system in Nepali language. It is one of the pioneering approaches in anaphora resolution using machine learning in Nepali language, which is a resource-limited language. For this work, we have developed our own data set in the standard format available in this domain. Data has been tagged with the necessary information like Parts-of-speech (POS), Named entity, Chunking information, Gender, Number, Person, etc. We divided the data for training and testing purposes in approximately 5:1 ratio and ML classifiers are used for training and testing. Results show encouraging for further progress.