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