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  • × author_ss:"Ekmekcioglu, F.C."
  1. Ekmekcioglu, F.C.; Lynch, M.F.; Willet, P.: Development and evaluation of conflation techniques for the implementation of a document retrieval system for Turkish text databases (1995) 0.00 
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    Abstract
    Considers language processing techniques necessary for the implementation of a document retrieval system for Turkish text databases. Introduces the main characteristics of the Turkish language. Discusses the development of a stopword list and the evaluation of a stemming algorithm that takes account of the language's morphological structure. A 2 level description of Turkish morphology developed in Bilkent University, Ankara, is incorporated into a morphological parser, PC-KIMMO, to carry out stemming in Turkish databases. Describes the evaluation of string similarity measures - n-gram matching techniques - for Turkish. Reports experiments on 6 different Turkish text corpora
    Type
    a
  2. Ekmekcioglu, F.C.; Willett, P.: Effectiveness of stemming for Turkish text retrieval (2000) 0.00 
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    Type
    a
  3. Ekmekcioglu, F.C.; Robertson, A.M.; Willett, P.: Effectiveness of query expansion in ranked-output document retrieval systems (1992) 0.00 
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    Abstract
    Reports an evaluation of 3 methods for the expansion of natural language queries in ranked output retrieval systems. The methods are based on term co-occurrence data, on Soundex codes, and on a string similarity measure. Searches for 110 queries in a data base of 26.280 titles and abstracts suggest that there is no significant difference in retrieval effectiveness between any of these methods and unexpanded searches
    Type
    a

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