Title :
Mahak: A Test Collection for Evaluation of Farsi Information Retrieval Systems
Author :
Esmaili, K.S. ; Abolhassani, H. ; Neshati, M. ; Behrangi, E. ; Rostami, A. ; Nasiri, M.M.
Author_Institution :
Sharif Univ. of Technol., Tehran
Abstract :
Currently there is no standard test collection for evaluation of Farsi information retrieval systems. In this paper we introduce Mahak, the first complete test collection generally available for evaluating Farsi information retrieval systems. We also discuss our construction process in detail. As a goal, we hope that Mahak will foster the development of Farsi information retrieval systems.
Keywords :
information retrieval system evaluation; natural languages; Farsi information retrieval system; standard test collection; Data mining; Information retrieval; Laboratories; Large-scale systems; Natural language processing; Natural languages; Statistics; System testing; Text mining;
Conference_Titel :
Computer Systems and Applications, 2007. AICCSA '07. IEEE/ACS International Conference on
Conference_Location :
Amman
Print_ISBN :
1-4244-1030-4
DOI :
10.1109/AICCSA.2007.370697
