Title :
A stemming algorithm for the Farsi language
Author :
Taghva, Kazem ; Beckley, Russell ; Sadeh, Mohammad
Author_Institution :
Inf. Sci. Res. Inst., Nevada Univ., Las Vegas, NV, USA
Abstract :
In this paper, we report on the design and implementation of a stemmer for the Farsi language. The results of our evaluation on a small Farsi document collection shows a significant improvement in precision/recall over not stemming.
Keywords :
information retrieval; natural languages; Farsi document collection; Farsi language; precision-recall improvement; stemming algorithm; Concatenated codes; Displays; Helium; Information retrieval; Information science; Information technology; Mood; Morphology; Natural languages;
Conference_Titel :
Information Technology: Coding and Computing, 2005. ITCC 2005. International Conference on
Print_ISBN :
0-7695-2315-3
DOI :
10.1109/ITCC.2005.40
