Volta

A Naïve Bayes Approach for working on Gurmukhi Word Sense Disambiguation

Unknown authors · 2017
hash_id: 941b6e2be8792fbc0e350cc6c4cc27e9c2ef1d4b598e1721c8d9fcf4de0f7f64 · DOI: 10.1109/icrito.2017.8342465

Natural Language Processing is a technique which allows communication between the human and the machine. In this technique the major problem has been Word Sense Disambiguation (WSD). WSD is the process of uniquely identifying the correct usage of the given word, of the multiple meanings that the word may have. A lot of work is going on in this field, especially in English and European Languages. In recent years, significant work has been done in Indian Regional Languages also. Punjabi is an Indian Regional Language and Gurmukhi is its script. The WSD applies three approaches - knowledge based, corpus based and hybrid approach. The corpus based approach can be further divided into - supervised and unsupervised approach. Off the many …

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Naïve Bayes classifier for Hindi word sense disambiguation secondary