Word Sense Disambiguation (WSD) is a fundamental task in natural language processing (NLP) that focuses on determining the precise meaning of a word by analyzing its contextual usage.This paper presents a comprehensive analysis of various WSD techniques applied to the Punjabi language, including supervised, unsupervised, and knowledge-based methods. We compare the accuracy, performance, benefits, drawbacks, and resource requirements of these techniques.The study aims to provide a detailed overview of the state of WSD for Punjabi, with visual representations such as tables and graphs to illustrate comparative performance.
No takes yet. Share an insight, caveat, or question.
Gursewak Singh (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: