TY  - JOUR
AB  - We have developed in this paper a morphological disambiguation hybrid system for the Arabic language that identifies the stem, lemma and root of a given sentence words. Following an out-of-context analysis performed by the morphological analyser Alkhalil Morpho Sys, the system first identifies all the potential tags of each word of the sentence. Then, a disambiguation phase is carried out to choose for each word the right solution among those obtained during the first phase. This problem has been solved by equating the disambiguation issue with a surface optimization problem of spline functions. Tests have shown the interest of this approach and the superiority of its performances compared to those of the state of the art.
VL  - 20
IS  - 3/4
SN  - 2210-8327
DO  - 10.1016/j.aci.2020.02.002
UR  - https://doi.org/10.1016/j.aci.2020.02.002
AU  - Boudchiche Mohamed
AU  - Mazroui Azzeddine
PY  - 2020
Y1  - 2020/01/01
TI  - Spline functions for Arabic morphological disambiguation
T2  - Applied Computing and Informatics
PB  - Emerald Publishing Limited
SP  - 198
EP  - 216
Y2  - 2024/09/25
ER  -