Grammatical relation extraction in Arabic language

Othman Ibrahim Hammadi, Mohd Juzaiddin Ab Aziz

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Problem statement: Grammatical Relation (GR) can be defined as a linguistic relation established by grammar, where linguistic relation is an association among the linguistic forms or constituents. Fundamentally the GR determines grammatical behaviors such as: placement of a word in a clause, verb agreement and the passivity behavior. The GR of Arabic language is a necessary prerequisite for many natural language processing applications, such as machine translation and information retrieval. This study focuses on the GR related problems of Arabic language and addresses the issue with optimum solution. Approach: We had proposed a rule based production method to recognize Grammatical Relations (GRs), as the rule-based approach had been successfully used in developing many natural language processing systems. In order to eradicate the problems of sentence structure recognition, the proposed technique enhances the basic representations of Arabic language such as: Noun Phrase (NP), Verb Phrase (VP), Preposition Phrase (PP) and Adjective Phrase (AP). We had implemented and evaluated the Rule-Based approach that handles chunking and GRs of Arabic sentences. Results: The system was manually tested on 80 Arabic sentences, with the length of each sentence ranging from 3-20 words. The results had yielded the F-score of 83.60%. This outcome proves the viability of this approach for Arabic sentences of GRs extraction. Conclusion: The main achievement of this study is development of Arabic grammatical relation extractions based ob rule-based approaches.

Original languageEnglish
Pages (from-to)891-898
Number of pages8
JournalJournal of Computer Science
Volume8
Issue number6
Publication statusPublished - 2012

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Linguistics
Natural language processing systems
Information retrieval
Processing

Keywords

  • Arabic language processing
  • Chunking
  • Grammars
  • Grammatical relations

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Artificial Intelligence

Cite this

Grammatical relation extraction in Arabic language. / Hammadi, Othman Ibrahim; Ab Aziz, Mohd Juzaiddin.

In: Journal of Computer Science, Vol. 8, No. 6, 2012, p. 891-898.

Research output: Contribution to journalArticle

Hammadi, Othman Ibrahim ; Ab Aziz, Mohd Juzaiddin. / Grammatical relation extraction in Arabic language. In: Journal of Computer Science. 2012 ; Vol. 8, No. 6. pp. 891-898.
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