Laroussi Merhbene, Anis Zouaghi, Mounir Zrigui


In this paper we propose an hybrid system of Arabic words ‎disambiguation. To achieve this goal we use the methods ‎employed in the domain of information retrieval: Latent ‎semantic analysis, Harman, Croft, Okapi, combined to the lesk ‎algorithm. These methods are used to estimate the most relevant ‎sense of the ambiguous word. This estimation is based on the ‎calculation of the proximity between the current context ‎‎(Context of the ambiguous word), and the different contexts of ‎use of each meaning of the word. The Lesk algorithm is used to ‎assign the correct sense of those proposed by the LSA, ‎Harman, Croft and Okapi. The results found by the proposed ‎system are satisfactory, we obtained a rate of disambiguation ‎equal to 76%. ‎


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Paper Citation

in Harvard Style

Merhbene L., Zouaghi A. and Zrigui M. (2010). ARABIC WORD SENSE DISAMBIGUATION . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 652-655. DOI: 10.5220/0002762106520655

in Bibtex Style

author={Laroussi Merhbene and Anis Zouaghi and Mounir Zrigui},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},

in EndNote Style

JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
SN - 978-989-674-021-4
AU - Merhbene L.
AU - Zouaghi A.
AU - Zrigui M.
PY - 2010
SP - 652
EP - 655
DO - 10.5220/0002762106520655