International Journal of Engineering and Management Research (IJEMR)
Open Access
  • Year: 2011
  • Volume: 1
  • Issue: 1

Linguistic Knowledge: An Intelligent Information Retrieval System

  • Author:
  • Amarjeet Singh1, Manoj Kumar2
  • Total Page Count: 4
  • Page Number: 13 to 16

1Research Scholar, Azad Institute of Engineering & Technology, Lucknow, India. amarjeetsingh_9@rediffmail.com

2Research Scholar, Azad Institute of Engineering & Technology, Lucknow, India. iisemanoj@gmail.com

Online published on 21 November, 2017.

Abstract

This paper describes the results of some experiments using a new approach to information access that combines techniques from natural language processing and knowledge representation with a penalty based technique for relevance estimation and passage retrieval. Unlike many attempts to combine natural language processing with information retrieval, these results show substantial benefit from using linguistic knowledge.

Keywords

Information, Linguistic Knowledge, Retrieval Algorithm, Morphological Algorithms, Search Engines