Research Article Open Access

English-Hindi Cross Language Information Retrieval System: Query Perspective

Pratibha Bajpai1, Parul Verma1 and Syed Q. Abbas2
  • 1 Amity University, India
  • 2 Ambalika Institute of Management and Technology, India

Abstract

The abundance of multilingual content on internet other than English gives an urge to develop information retrieval system that can cross language boundaries. Such cross lingual information retrieval systems will bridge this language gap and allow user to ask a query in regional language and retrieve relevant documents in a different language. The problem of finding relevant document in language different from source language is the most challenging application of any cross lingual information retrieval. This paper discusses the development process of complete English to Hindi cross language information retrieval system along with the contribution of individual components to the system. The main focus of this paper is to discuss how optimization is done to our disambiguation approach, which we named as ‘Two level Disambiguation method’. The experimental results obtained affirm that the addition of a component ‘Analyzer’ to our CLIR architecture increases the efficiency of our proposed disambiguation algorithm.

Journal of Computer Science
Volume 14 No. 5, 2018, 705-713

DOI: https://doi.org/10.3844/jcssp.2018.705.713

Submitted On: 31 January 2018 Published On: 4 May 2018

How to Cite: Bajpai, P., Verma, P. & Abbas, S. Q. (2018). English-Hindi Cross Language Information Retrieval System: Query Perspective. Journal of Computer Science, 14(5), 705-713. https://doi.org/10.3844/jcssp.2018.705.713

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Keywords

  • Cross Lingual Information Retrieval System
  • Translation Analyzer
  • Disambiguation
  • Translation Ambiguity