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Performance of Turkish Information Retrieval: Evaluating the Impact of Linguistic Parameters and Compound Nouns

  • Conference paper
Computational Linguistics and Intelligent Text Processing (CICLing 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8404))

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Abstract

Turkish is an agglutinative language where linguistic parameters can have significant consequences on the information retrieval performances. In this paper, different Turkish linguistic parameters (truncation, stemming, stop words, etc.) have been studied and their impacts on an information retrieval system performance have been invistiguated. Three word truncations at fixed length (3, 4 and 5 characters) have been studied. The results have been compared using Snowball and Zemberek stemmers. Moreover, the results of using compound nouns, in addition to simple keywords, to index queries and documents have been studied. In the experimental part, Milliyet test collectionn have been tested by three information retrieval models. The comparisons of performance analysis have been done by he traditional information retrieval metrics and bpref metric since the test collection is build on an incomplete relevance judgments.

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Author information

Authors and Affiliations

  1. Faculty of Engineering Department of Computer Engineering, Mevlana University, Konya, Turkey

    Hatem Haddad

  2. ISG, Tunis University, Tunisia

    Hatem Haddad & Chedi Bechikh Ali

  3. LISI Laboratory, INSAT, Carthage University, Tunisia

    Hatem Haddad & Chedi Bechikh Ali

Authors
  1. Hatem Haddad
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  2. Chedi Bechikh Ali
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Editor information

Editors and Affiliations

  1. Center for Computing Research, National Polytechnic Institute, Av. Juan Dios Bátiz, Col. Nueva Industrial Vallejo, 07738, Mexico D.F, Mexico

    Alexander Gelbukh

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Haddad, H., Bechikh Ali, C. (2014). Performance of Turkish Information Retrieval: Evaluating the Impact of Linguistic Parameters and Compound Nouns. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2014. Lecture Notes in Computer Science, vol 8404. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54903-8_32

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  • DOI: https://doi.org/10.1007/978-3-642-54903-8_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54902-1

  • Online ISBN: 978-3-642-54903-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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