A Morphologically Sensitive Clustering Algorithm for Identifying Arabic Roots

We present a clustering algorithm for Arabic words sharing the same root. Root based clusters can substitute dictionaries in indexing for IR. Modifying Adamson and Boreham (1974), our Two-stage algorithm applies light stemming before calculating word pair similarity coefficients using techniques sensitive to Arabic morphology. Tests show a successful treatment of infixes and accurate clustering to up to 94.06% for unedited Arabic text samples, without the use of dictionaries.

• Type: Conference
• Year: 2000
• Where: ACL
• Authors: Anne N. De Roeck, Waleed Al-Fares
• Keywords: ACL 2000, ACL 2007, Clustering Algorithm, Root Based Clusters, Two-stage Algorithm Applies