DocumentCode
573572
Title
Developing a shuffle grammar for parsing Arabic verbs
Author
Passban, Peyman ; Shokrollahi-Far, Mahmoud
Author_Institution
Dept. of Comput. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
fYear
2012
fDate
2-3 May 2012
Firstpage
256
Lastpage
260
Abstract
One of the most important members of natural languages is Arabic. This language spans 14 centuries and 22 countries and has a great traditional and historical background. More than two hundred million people speak in Arabic and this matter also persuades researchers to study in this filed. Due to the mentioned attractiveness, we also studied on a new mechanism of Arabic parsing which based on formal grammars and is underlined by shuffle morphology. This grammar is embedded in body of a morpho-syntactic tagger and works with accuracy of 98.5% on Arabic verbs.
Keywords
grammars; natural language processing; Arabic verb parsing; formal grammar; morphosyntactic tagger; natural language; shuffle grammar development; shuffle morphology; Accuracy; Grammar; Knowledge based systems; Mood; Morphology; Pragmatics; Tagging; Arabic NLP; Mobin morpho-syntactic parser; shuffle grammar; shuffle morphology;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on
Conference_Location
Shiraz, Fars
Print_ISBN
978-1-4673-1478-7
Type
conf
DOI
10.1109/AISP.2012.6313754
Filename
6313754
Link To Document