Title :
Stylistic document retrieval for Turkish
Author :
Zamalieva, Daniya ; Kalaycilar, Firat ; Kale, Asli ; Pehlivan, Selen ; Can, Fazli
Author_Institution :
Dept. of Comput. Eng., Bilkent Univ., Bilkent, Turkey
Abstract :
In information retrieval (IR) systems, there are a query and a collection of documents compared with this query and ranked according to a particular similarity measure. Since texts with the same content can be written by different authors, the writing styles of the documents change as well accordingly. This observation brings the idea of investigating text by means of style. In this paper, we analyze text documents in terms of stylistic features of the written text and measure effectiveness of these features in an IR system. Our main focus is on Turkish text documents. Although there are many studies about broadening IR systems with style based enhancement, there is no similar application for Turkish which performs retrieval depending purely on style.
Keywords :
information retrieval; natural languages; text analysis; Turkish text documents; information retrieval systems; stylistic document retrieval; text document analysis; Computer science; Content based retrieval; Frequency measurement; Indexing; Information retrieval; Optical computing; Particle measurements; Prototypes; Statistics; Writing;
Conference_Titel :
Computer and Information Sciences, 2009. ISCIS 2009. 24th International Symposium on
Conference_Location :
Guzelyurt
Print_ISBN :
978-1-4244-5021-3
Electronic_ISBN :
978-1-4244-5023-7
DOI :
10.1109/ISCIS.2009.5291902