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Information retrieval on Turkish texts
| Type of publication: | Article |
| Citation: | |
| Publication status: | Accepted |
| Journal: | J of American Society for Information Science & Technology |
| Volume: | 59 |
| Year: | 2008 |
| Pages: | 407-421 |
| Key (?): | key1 |
| DOI: | 10.1002/asi.20750 |
| 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. |
| Keywords: | |
| Authors | |
| Added by: | [] |
| Total mark: | 5 |
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