View in EDS

Benchmarking and assessing the performance of Arabic stemmers.

Saved in:
Bibliographic Details
Title: Benchmarking and assessing the performance of Arabic stemmers.
Authors: Al-Kabi, Mohammed N.1 mohammedk@yu.edu.jo, Al-Radaideh, Qasem A.1, Akkawi, Khalid W.2
Source: Journal of Information Science. 04/01/2011, Vol. 37 Issue 2, p111-119. 9p.
Subject Terms: *Algorithms, *Benchmarking (Management), *Information retrieval, Arabic language, Search engines
Abstract: Previous studies on the stemming of the Arabic language lack fair evaluation, full description of algorithms used or access to the source code of the stemmers and the datasets used to evaluate such stemmers. Freeing source codes and datasets is an essential step to enable researchers to enhance stemmers currently in use and to verify the results of these studies. This study laid the foundation of establishing a benchmark for Arabic stemmers and presents an evaluation of four heavy (root-based) stemmers for the Arabic language. The evaluation aims to assess the accuracy of each of the four stemmers and to show the strength of each. The four algorithms are: Al-Mustafa stemmer, Al-Sarhan stemmer, Rabab’ah stemmer and Taghva stemmer. The accuracy and strength tests used in this study ranked Rabab’ah stemmer as the first followed by Al-Sarhan, Al-Mustafa, and Taghva stemmers respectively. [ABSTRACT FROM PUBLISHER]
Copyright of Journal of Information Science is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
FullText Text:
  Availability: 0
Header DbId: ehh
DbLabel: Education Research Complete
An: 59955675
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Benchmarking and assessing the performance of Arabic stemmers.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Al-Kabi%2C+Mohammed+N%2E%22">Al-Kabi, Mohammed N.</searchLink><relatesTo>1</relatesTo><i> mohammedk@yu.edu.jo</i><br /><searchLink fieldCode="AR" term="%22Al-Radaideh%2C+Qasem+A%2E%22">Al-Radaideh, Qasem A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Akkawi%2C+Khalid+W%2E%22">Akkawi, Khalid W.</searchLink><relatesTo>2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Information+Science%22">Journal of Information Science</searchLink>. 04/01/2011, Vol. 37 Issue 2, p111-119. 9p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br />*<searchLink fieldCode="DE" term="%22Benchmarking+%28Management%29%22">Benchmarking (Management)</searchLink><br />*<searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Arabic+language%22">Arabic language</searchLink><br /><searchLink fieldCode="DE" term="%22Search+engines%22">Search engines</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Previous studies on the stemming of the Arabic language lack fair evaluation, full description of algorithms used or access to the source code of the stemmers and the datasets used to evaluate such stemmers. Freeing source codes and datasets is an essential step to enable researchers to enhance stemmers currently in use and to verify the results of these studies. This study laid the foundation of establishing a benchmark for Arabic stemmers and presents an evaluation of four heavy (root-based) stemmers for the Arabic language. The evaluation aims to assess the accuracy of each of the four stemmers and to show the strength of each. The four algorithms are: Al-Mustafa stemmer, Al-Sarhan stemmer, Rabab’ah stemmer and Taghva stemmer. The accuracy and strength tests used in this study ranked Rabab’ah stemmer as the first followed by Al-Sarhan, Al-Mustafa, and Taghva stemmers respectively. [ABSTRACT FROM PUBLISHER]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Information Science is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=59955675
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/0165551510392305
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 111
    Subjects:
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Benchmarking (Management)
        Type: general
      – SubjectFull: Information retrieval
        Type: general
      – SubjectFull: Arabic language
        Type: general
      – SubjectFull: Search engines
        Type: general
    Titles:
      – TitleFull: Benchmarking and assessing the performance of Arabic stemmers.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Al-Kabi, Mohammed N.
      – PersonEntity:
          Name:
            NameFull: Al-Radaideh, Qasem A.
      – PersonEntity:
          Name:
            NameFull: Akkawi, Khalid W.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: 04/01/2011
              Type: published
              Y: 2011
          Identifiers:
            – Type: issn-print
              Value: 01655515
          Numbering:
            – Type: volume
              Value: 37
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Journal of Information Science
              Type: main
ResultId 1