Title :
Enhanced Algorithm for Extracting the Root of Arabic Words
Author :
Ghwanmeh, Sameh ; Kanaan, Ghassan ; Al-Shalabi, Riyad ; Rabab´ah, Saif
Author_Institution :
Yarmouk Univ., Irbid, Jordan
Abstract :
Stemming is one of many tools used in information retrieval to combat the vocabulary mismatch problem, in which query words do not match document words. Stemming in the Arabic language does not fit into the usual mold, because stemming in most research in other languages so far depends only on eliminating prefixes and suffixes from the word, but Arabic words contain infixes as well. In this paper we have introduced an enhanced root-based algorithm that handles the problems of affixes, including prefixes, suffixes, and infixes depending on the morphological pattern of the word. The stemming concept has been used to eliminate all kinds of affixes, including infixes. Series of simulation experiments have been conducted to test the performance of the proposed algorithm. The results obtained showed that the algorithm extracts the correct roots with an accuracy rate up to 95%.
Keywords :
information retrieval; natural language processing; text analysis; Arabic language; enhanced root-based algorithm; information retrieval; morphological pattern; natural language processing; stemming concept; text analysis; vocabulary mismatch problem; Banking; Computer graphics; Data mining; Image retrieval; Information retrieval; Speech; Surface morphology; Testing; Visualization; Vocabulary; Affix; Infix; Information Retrieval; Prefix; Root; Stem; Stopword; Suffix;
Conference_Titel :
Computer Graphics, Imaging and Visualization, 2009. CGIV '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3789-4
DOI :
10.1109/CGIV.2009.10