Parsing Arabic verbal sentence using grammar ontology
Joint Authors
al-Munirawi, Khalid M.
Barakah, Ribhi S.
Source
Journal of Engineering Research and Technology
Issue
Vol. 8, Issue 2 (30 Sep. 2021), pp.22-32, 11 p.
Publisher
The Islamic University-Gaza Deanship of Research and Graduate Affairs
Publication Date
2021-09-30
Country of Publication
Palestine (Gaza Strip)
No. of Pages
11
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
We build a model to parse the Arabic verbal sentence based on Arabic grammar ontology.
The ontology conceptualizes the Arabic verbal sentence through the representation of grammar parsing classes, verb properties, and conjunction checking.
By populating the ontology with verbal sentences and adding grammar rules, we form a verbal sentence knowledge base.
The parsing model is supported by morphological analysis for sentence syntactic analysis and supported by Arabic synonyms extractor for deriving synonyms.
We have implemented the model and have provided it with a user interface where the user can enter a sentence to be parsed and obtains the parsing results.
The interface has the options to partially or totally add diacritics to the words of the sentence and it has the possibility to remove ambiguity by choosing the most appropriate analysis from lexicon results.
To evaluate the model, we have selected a representative set of Arabic verbal sentences from Arabic grammar books that represent all the possibilities of a verbal sentence.
We have performed several parsing tests on these sentences with and without diacritics.
The results prove the ability of the model to parse the various forms of the verbal sentence.
The accuracy increases when the sentence is diacriticized while avoiding free word order and following the Arabic verbal sentence general form.
American Psychological Association (APA)
al-Munirawi, Khalid M.& Barakah, Ribhi S.. 2021. Parsing Arabic verbal sentence using grammar ontology. Journal of Engineering Research and Technology،Vol. 8, no. 2, pp.22-32.
https://search.emarefa.net/detail/BIM-1395330
Modern Language Association (MLA)
al-Munirawi, Khalid M.& Barakah, Ribhi S.. Parsing Arabic verbal sentence using grammar ontology. Journal of Engineering Research and Technology Vol. 8, no. 2 (Sep. 2021), pp.22-32.
https://search.emarefa.net/detail/BIM-1395330
American Medical Association (AMA)
al-Munirawi, Khalid M.& Barakah, Ribhi S.. Parsing Arabic verbal sentence using grammar ontology. Journal of Engineering Research and Technology. 2021. Vol. 8, no. 2, pp.22-32.
https://search.emarefa.net/detail/BIM-1395330
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 32
Record ID
BIM-1395330