Using part of speech tagging in persian information retrieval

Reza Karimpour, Amineh Ghorbani, Azadeh Pishdad, Mitra Mohtarami, Abolfazl Aleahmad, Hadi Amiri, Farhad Oroumchian

Research output: Contribution to journalConference articleScientificpeer-review

1 Citation (Scopus)

Abstract

With the emergence of vast resources of information, it is necessary to develop methods that retrieve most relevant information according to the users needs. These retrieval methods may benefit from natural language constructs to boost their results by achieving higher precision/recall rates. In this attempt, we have used part of speech attributes of terms as extra information about document and query terms and have evaluated the impact of such information on the performance of the retrieval algorithms. Also the effect of stemming has been experimented as a complement to this research. Our findings indicate that part of speech tags may have small influence on effectiveness of the retrieved results. However, when this information is combined with stemming it improves the accuracy of the outcomes considerably.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume1174
Publication statusPublished - 1 Jan 2008
Externally publishedYes
Event2008 Working Notes for CLEF Workshop, CLEF 2008 - Co-located with the 12th European Conference on Digital Libraries, ECDL 2008 - Aarhus, Denmark
Duration: 17 Sep 200819 Sep 2008

Keywords

  • Natural language
  • Part of speech
  • Persian information retrieval

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