Information retrieval on Turkish texts

Fazli Can, Seyit Kocberber, Erman Balcik, Cihan Kaynak, H. Cagdas Ocalan and Onur M. Vursavas

Journal of the American Society for Information Science and Technology, 2008, vol. 59, issue 3, 407-421

Abstract: In this study, we investigate information retrieval (IR) on Turkish texts using a large‐scale test collection that contains 408,305 documents and 72 ad hoc queries. We examine the effects of several stemming options and query‐document matching functions on retrieval performance. We show that a simple word truncation approach, a word truncation approach that uses language‐dependent corpus statistics, and an elaborate lemmatizer‐based stemmer provide similar retrieval effectiveness in Turkish IR. We investigate the effects of a range of search conditions on the retrieval performance; these include scalability issues, query and document length effects, and the use of stopword list in indexing.

Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jamist:v:59:y:2008:i:3:p:407-421

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https://doi.org/10.1002/(ISSN)1532-2890

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