APA 6th Edition Abu Hawas, F. i Emmert, K.E. (2014). Rule-based Approach for Arabic Root Extraction: New Rules to Directly Extract Roots of Arabic Words. Journal of computing and information technology, 22 (1), 57-68. https://doi.org/10.2498/cit.1002174
MLA 8th Edition Abu Hawas, Fatma i Keith E. Emmert. "Rule-based Approach for Arabic Root Extraction: New Rules to Directly Extract Roots of Arabic Words." Journal of computing and information technology, vol. 22, br. 1, 2014, str. 57-68. https://doi.org/10.2498/cit.1002174. Citirano 02.03.2021.
Chicago 17th Edition Abu Hawas, Fatma i Keith E. Emmert. "Rule-based Approach for Arabic Root Extraction: New Rules to Directly Extract Roots of Arabic Words." Journal of computing and information technology 22, br. 1 (2014): 57-68. https://doi.org/10.2498/cit.1002174
Harvard Abu Hawas, F., i Emmert, K.E. (2014). 'Rule-based Approach for Arabic Root Extraction: New Rules to Directly Extract Roots of Arabic Words', Journal of computing and information technology, 22(1), str. 57-68. https://doi.org/10.2498/cit.1002174
Vancouver Abu Hawas F, Emmert KE. Rule-based Approach for Arabic Root Extraction: New Rules to Directly Extract Roots of Arabic Words. Journal of computing and information technology [Internet]. 2014 [pristupljeno 02.03.2021.];22(1):57-68. https://doi.org/10.2498/cit.1002174
IEEE F. Abu Hawas i K.E. Emmert, "Rule-based Approach for Arabic Root Extraction: New Rules to Directly Extract Roots of Arabic Words", Journal of computing and information technology, vol.22, br. 1, str. 57-68, 2014. [Online]. https://doi.org/10.2498/cit.1002174
Sažetak Extracting word roots in Arabic language is very problematic due to the specific morphological and structural changes in the language. To address this problem, several techniques have been proposed. This paper continues the problem of identifying and exploiting relationship amongst Arabic letters for Arabic root extraction begun in [1]. Eight different rules that detect the root letters according to other letters in the word have been proposed and tested, four of them benefiting from the idea of morphological substitution (MUTATION). The approach has been evaluated using the Holy Quran words. The evaluation results show a promising root extraction algorithm.