TY  - JOUR
T1  - Towards Information Extraction System Based Arabic Language
AU - , Mamoun, S.A.R. AU - , M.B. Khaldoon AU - , H.Y. Jabar 
JO  - International Journal of Soft Computing
VL  - 1
IS  - 1
SP  - 67
EP  - 70
PY  - 2006
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2006.67.70
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2006.67.70
KW  - Arabic text analysis
KW  -information extraction
KW  -feature extraction
KW  -NPL
KW  -AI
AB  - There are vast develop in Natural Language Processing(NLP) tools such as Part Of Speech (POS) and morphology analysis, but the IE system for an Arabic texts  are still not rising to comply with such progress and it is not available  till now. The paper clarifies the design and implementation of a suitable information extraction system that automates input feeding of an Arabic text to derive an output template as a convenient extraction of important information. An Arabic POS tagger based on multilayer perceptron neural network (MLP) is used to achieve high accuracy and scouring for the tokenization stage. In addition, an Arabic semantic parser is suggested and addressed. The system consists of two stages, the first one is preprocessing stage, which has used to implement and model the document analysis and tokenization. The other stage is the processing stage,  which  has  used  to  accomplish  the  morphology  analysis,  Pos  tagger,  semantic  tagger  and name entity extraction.
ER  -