Persian (Farsi) is one of the languages of Middle East. There are significant amount of Persian documents available in digital form and even more are created every day. Therefore, there is a necessity to implement Information Retrieval System with high precision for this language. This paper discusses the design, implementation and testing of a Fuzzy retrieval system for Persian called FuFaIR. This system also supports Fuzzy quantifiers in its query language. Tests have been conducted using a standard Persian test corpus called Hamshari. The performance results obtained from FuFaIR are positive and they indicate that the FuFaIR could notably outperform well known industry systems such as the vector space model.
Nayeri and Oroumchian REF proposed the design and testing of a fuzzy retrieval system for Persian (FuFaIR) with support of fuzzy quantifiers in its query language.
FuFaIR: a Fuzzy Farsi Information Retrieval System
IEEE International Conference on Computer Systems and Applications, 2006.
IEEE International Conference on Computer Systems and Applications, 2006.
Computer Science