Abstract
Information retrieval (IR) has become an important application in today’s computer world because of the great increase in the amount of web-based documents and the widespread use of the Internet. However, the classical ”bag of words” approach no lo nger meets user expectations adequately. In this context, natural language processing (NLP) techniques come into mind. In this paper, we investigate the question of whether NLP techniques can improve the effectiveness of information retrieval in Turkish. We implemented and tested a linguistically motivated information retrieval system, which uses knowledge of the morphological, lexico-semantical and syntactical levels of Turkish.
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