Integrated approaches in a morphological analyzer of the Arabic language

Said Iazzi (Mohammed V University in Rabat)
Abderrazak Iazzi (Mohammed V University)
Hicham Gueddah (Mohammed V University in Rabat)
Abdellah Yousfi (Mohammed V University in Rabat)
Mostafa Bellafkih (National Institute of Posts and Telecommunications)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 30, No 1: April 2023

This article presents a systemof a morphological analyzer of the Arabic language, by integrating several approaches and the viterbi algorithm. First approach is based on database for all thesurface patterns in the Arabic language, second approach is Buckwalter Arabic morphological analyzer and the last approach is based on finite state automaton. With the integration of correspondence tables between affixes in these approaches. The combination between these approaches in our analyzer is very important. Our analyzer is tested on a morphological corpus of 200,000 words, which generalize the words of the Arabic language. The effectiveness of the proposed approaches is demonstrated experimentally and the results obtained are comparable to the state of the art. Moreover, it shows the interest and the advantages of integrating these approaches are to improve our morphological analyzer.