Case Based Interpretation Model for Word Sense Disambiguation in Gurmukhi

摘要

Language is a medium through which we can communicate our thoughts with each other. To duplicate the same communication between a human and a machine, we require Natural Language Processing. Under Artificial Intelligence, natural language processing is one of the major case study. What makes this case study more complex is the fact that a word has multiple meanings and the way in which the word is being used (context) explains the meaning of the word. This phenomenon where a single word could have multiple meaning and the correct meaning is deduced from the context it is being used as is known as Word Sense Disambiguation. In this paper, we are using Case Based Reasoning interpretation model for word sense disambiguation on Indian Regional Language - Gurmukhi, popularly known as Punjabi. The basic idea behind case based reasoning approach is to apply the solution of previously solved problems in finding the solutions for new problems. The inspiration for the case based reasoning approach came from the role of reminding in human reasoning.