%Aigaion2 BibTeX export from A Web Based Annotated Bibliography
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@ARTICLE{,
    author = {Can, F. and Kocberber, S. and Balcik, E. and Kaynak, C. and Ocalan, H.C. and Vursavas, O.M.},
       key = {key1},
     title = {Information retrieval on Turkish texts},
   journal = {J of American Society for Information Science & Technology},
    volume = {59},
      year = {2008},
     pages = {407-421},
      note = {29.11.2011},
       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.}
}