Arabic root extraction using a hybrid technique.

Abstract

Root extraction is one of the main text operations conducted by converting the conflation into its root. This process aims to overcome the morphological richness problem of the Arabic language. Root extraction gives a valuable support to many natural language processing applications such as information retrieval, machine translation, and text-summarizing applications. In this research, a hybrid technique to extract Arabic word roots has been developed. The proposed technique depends on optimization function, which is the enhancing process performed by playing a set of nonmorphological rules to enhance the n-gram technique. The proposed technique is tested using a dataset containing more than 6000 distinguished words belonging to 141 different roots. The results show a marked improvement after using the hybrid method, the proposed technique extracts correctly about 99% of tripartite strong roots and about 86% of tripartite vowels roots. [ABSTRACT FROM AUTHOR]Copyright of International Journal of Advanced Computer Research is the property of Accent Social & Welfare Society and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder`s express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)