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Information and Communication Technology for Intelligent Systems pp 485–494Cite as

Knowledge-Based Approach for Word Sense Disambiguation Using Genetic Algorithm for Gujarati

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 106))

Abstract

This paper proposes a knowledge-based overlap approach, which uses Genetic algorithms (GAs) for Word Sense Disambiguation (WSD). Genetic Algorithms have been explored to solve search and optimization task in AI. WSD problem strives to resolve which the meaning of a polysemous word should be used in a surrounding context in a given text. Several approaches have been explored for WSD in English, Chinese, Spanish, and also for some Indian regional languages. Despite the extensive research in NLP for Indian Languages, research on WSD in Gujarati Language is very limited. Knowledge-based approach uses machine-readable knowledge source. We propose to use Indo-Aryan WordNet for Gujarati as a lexical database for WSD.

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Author information

Authors and Affiliations

  1. Sardar Patel University, Vallabh Vidhyanagar, Gujarat, India

    Zankhana B. Vaishnav

  2. G.H. Patel PG Department of Computer Science, Sardar Patel University, Vallabh Vidhyanagar, Gujarat, India

    Priti S. Sajja

Authors
  1. Zankhana B. Vaishnav
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  2. Priti S. Sajja
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Corresponding author

Correspondence to Zankhana B. Vaishnav .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India

    Suresh Chandra Satapathy

  2. Sabar Institute of Technology, Gujarat Technological University, Ahmedabad, Gujarat, India

    Amit Joshi

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Vaishnav, Z.B., Sajja, P.S. (2019). Knowledge-Based Approach for Word Sense Disambiguation Using Genetic Algorithm for Gujarati. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 106. Springer, Singapore. https://doi.org/10.1007/978-981-13-1742-2_48

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