Contribution to Semantic Analysis of Arabic Language
Joint Authors
Antoniadis, Georges
Zouaghi, Anis
Merhbene, Laroussi
Zrigui, Mounir
Source
Advances in Artificial Intelligence
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-25
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Science
Abstract EN
We propose a new approach for determining the adequate sense of Arabic words.
For that, we propose an algorithm based on information retrieval measures to identify the context of use that is the closest to the sentence containing the word to be disambiguated.
The contexts of use represent a set of sentences that indicates a particular sense of the ambiguous word.
These contexts are generated using the words that define the senses of the ambiguous words, the exact string-matching algorithm, and the corpus.
We use the measures employed in the domain of information retrieval, Harman, Croft, and Okapi combined to the Lesk algorithm, to assign the correct sense of those proposed.
American Psychological Association (APA)
Zouaghi, Anis& Zrigui, Mounir& Antoniadis, Georges& Merhbene, Laroussi. 2012. Contribution to Semantic Analysis of Arabic Language. Advances in Artificial Intelligence،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-485762
Modern Language Association (MLA)
Zouaghi, Anis…[et al.]. Contribution to Semantic Analysis of Arabic Language. Advances in Artificial Intelligence No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-485762
American Medical Association (AMA)
Zouaghi, Anis& Zrigui, Mounir& Antoniadis, Georges& Merhbene, Laroussi. Contribution to Semantic Analysis of Arabic Language. Advances in Artificial Intelligence. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-485762
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-485762