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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM36699

Evaluating Word Sense Disambiguation Techniques for Punjabi Language: A Comparative Analysis

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Paper ID:

10.55041/IJSREM36699

Volume:

8 |

7 |

Jul 2024

Pages:

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Monthly (12 issues per year)

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10.55041/IJSREM36699

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Gursewak Singh

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Abstract

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.

KEYWORDS

Word Sense Disambiguation Punjabi Language Natural Language Processing Supervised Learning Unsupervised Learning Knowledge-Based Approach

Cite This Article

Gursewak Singh, "Evaluating Word Sense Disambiguation Techniques for Punjabi Language: A Comparative Analysis," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 7, Jul 2024. https://doi.org/10.55041/IJSREM36699

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7/22/2024

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