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Performance comparison of Word Sense Disambiguation (WSD) Algorithm on Hindi Language Supporting Search Engines
BibTeX
@MISC{Rastogi_performancecomparison,
author = {Parul Rastogi and Dr. S. K. Dwivedi},
title = {Performance comparison of Word Sense Disambiguation (WSD) Algorithm on Hindi Language Supporting Search Engines},
year = {}
}
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Abstract
Search Engines are the basic tool of fetching the information on the web. The IT revolution not only affected the technocrats, but the native users are also affected. The native users also tend to look for any information on web nowadays. This leads to the need of effective search engines to fulfill native user’s needs and provide them information in their native languages. The major population of India use Hindi as a first language. The Hindi language web information retrieval is not in a satisfactory condition. Besides the other technical setbacks, the Hindi language search engines face the problem of sense ambiguity. Our WSD method is based on Highest Sense Count (HSC). It works well with Google. The objective of the paper is comparative analysis of the WSD algorithm results on the three Hindi language search engines- Google, Raftaar and Guruji. We have taken a test sample of 100 queries to check the performance level of the WSD algorithm on various search engines. The results show promising improvement in performance of Google search engine whereas the least performance improvement was there in Guruji search engine.
Keyphrases
performance comparison hindi language supporting search engine word sense disambiguation native user india use hindi various search engine web nowadays hindi language search engine google hindi language web information retrieval satisfactory condition performance level test sample highest sense count basic tool technical setback comparative analysis first language sense ambiguity performance improvement wsd algorithm effective search engine google search engine guruji search engine hindi language search major population native language wsd method search engine wsd algorithm result native user need promising improvement
