• DocumentCode
    237911
  • Title

    Weight based Precision oriented metrics for Multilingual Information Retrieval System

  • Author

    Yadav, Parmatma ; Sujatha, Pothula ; Dhavachelvan, P. ; Prasad, K.

  • Author_Institution
    Dept. of Comput. Sci., Pondicherry Univ., Pondicherry, India
  • fYear
    2014
  • fDate
    8-10 May 2014
  • Firstpage
    1114
  • Lastpage
    1119
  • Abstract
    Multilingual Information Retrieval System (MLIR) provides users to apply query in one language and retrieve the resultant documents in more than one language. Assessing the performance of these systems is a challenging task. Amongst the available metrics Precision is considered as the basic measure for assessing the performance of IR/MLIR systems. In the literatures a few metrics are available to analyse the performance of MLIR System. Therefore in this paper Precision oriented metrics are proposed based on the weight of languages and the results are very promising and demonstrated their existence in MLIR research domain.
  • Keywords
    natural language processing; query processing; text analysis; IRiMLIR systems; MLIR research domain; MLIR system; document retrieval; language weight; multilingual information retrieval system; performance analysis; performance assessment; precision measure; precision oriented metrics; query processing; weight-based precision oriented metrics; Educational institutions; Integrated circuits; Average Precision; Information Retrieval; MLIR; Normalized Precision; P@k; Precision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
  • Conference_Location
    Ramanathapuram
  • Print_ISBN
    978-1-4799-3913-8
  • Type

    conf

  • DOI
    10.1109/ICACCCT.2014.7019271
  • Filename
    7019271