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Morphological Analysis and Generation for Machine Translation from and to Arabic

by Sadik Bessou, Mohamed Touahria
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 18 - Number 2
Year of Publication: 2011
Authors: Sadik Bessou, Mohamed Touahria
10.5120/2258-2896

Sadik Bessou, Mohamed Touahria . Morphological Analysis and Generation for Machine Translation from and to Arabic. International Journal of Computer Applications. 18, 2 ( March 2011), 14-18. DOI=10.5120/2258-2896

@article{ 10.5120/2258-2896,
author = { Sadik Bessou, Mohamed Touahria },
title = { Morphological Analysis and Generation for Machine Translation from and to Arabic },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 18 },
number = { 2 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume18/number2/2258-2896/ },
doi = { 10.5120/2258-2896 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:05:14.645962+05:30
%A Sadik Bessou
%A Mohamed Touahria
%T Morphological Analysis and Generation for Machine Translation from and to Arabic
%J International Journal of Computer Applications
%@ 0975-8887
%V 18
%N 2
%P 14-18
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we present machine translation importance and the need of a linguistic treatment for the transfer based approach, then we present our method in analysis and generation based on linguistic features of Arabic word, dealing with scheme concept; to extract morphological information, these information is very useful in tree generation and structural transfer.

References
  1. Abu Shquier. M, Sembok. T, Word Agreement and Ordering in English-Arabic Machine Translation, IEEE 2008.
  2. AlDam Rasha Samih, Building a Transfer Module from Restricted Domain English-to-Arabic Bilingual Corpus, Master Thesis, University of Sharjah, January 2008.
  3. Aljlayl, M. and Ophir, F. On Arabic Search: Improving theRetrieval Effectiveness via a Light Stemming Approach. In 11th International Conference on Information and Knowledge Management (CIKM), November 2002,pp. 340-347.
  4. Alsharaf H, Cardey S, Greenfield P, Shen Y, Problems and Solutions in Machine Translation Involving Arabic, Chinese and French, Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC’04), IEEE 2004.
  5. Attia, A. A large-scale computational processor of the Arabic morphology. A Master’s Thesis, Cairo University, (Egypt), 2000.
  6. Attia, A. Devloping Robust Arabic Morphological Transducer Using Finite State Technology. In 8 th annual CLUK Research Colloquium, 2005.
  7. Bessou, S., Louail, M., Refoufi, A., Kedem, Z., Touahria, M. Un système de lemmatisation pour les applications de TALN. CITALA 2007. Rabat, Maroc.18-19 juin 2007. pp. 35-51.
  8. Bessou S, Saadi A, Touahria M, Vers une recherche d'information plus intelligente application à la langue arabe,in the proceedings of the first international conference on information systems and economic intelligence, SIIE 2008 , Hammamet, Tunisie, 14-16 Février 2008, pp. 91- 100.
  9. Chen, A. and Gey, F. Building an Arabic Stemmer for Information Retrieval. Proceedings of the Eleventh Text REtrieval Conference (TREC 2002). National Institute of Standards and Technology,2002, pp. 631-640.
  10. Darwish, K. Probabilistic Methods for Searching OCR-Degraded Arabic Text, Doctoral dissertation, University of Maryland, 2003.
  11. Jisha P.Jayan, Rajeev R R, S Rajendran, Morphological Analyser and Morphological Generator for Malayalam – Tamil Machine Translation, International Journal of Computer Applications(IJCA),2011.
  12. Hutchins J., Machine Translation: A Brief History, Concise History of the Language Sciences: From the Sumerians to the Cognitivists. Koerner E. F. K. and Asher R. E. (ed.).Oxford: Pergamon Press, pp. 431- 445, 1995.
  13. Hutchins J., Machine Translation and Computer–Based Translation Tools: What is Available and How it is Used. In: Bravo, J.M. (ed.): A New Spectrum of Translation Studies, University of Valladolid, Spain, 2003.
  14. Hutchins W. J. and Somers H. L., An Introduction to Machine Translation, London: Academic Press, pp. 56-57, 1992.
  15. Larkey L S, Ballesteros L. and Connell M. , Improving Stemming for Arabic Information Retrieval: Light Stemming and Co-occurrence Analysis. In Proceedings of the 25th Annual International Conference on Research and Development in Information Retrieval (SIGIR 2002), Tampere, Finland, 2002, pp. 275-282.
  16. Mohamadi, T., Mokhnache, S. Design and development of Arabic speech synthesis. WSEAS 2002, Greece, September 25-28, 2002.
  17. Senellart J., Dienes P., and Varadi T., New Generation Systran Translation System. MT Summit VIII Santiago de Compostela Spain, September 2001.
  18. Vauquois B., La traduction automatique à Grenoble. Paris: Dunod, 1975.
  19. Zantout R., and Guessoum A., Arabic Machine Translation: A Strategic Choice for the Arab World, journal of King Saud University, Volume 12, 2000, pp. 299-335.
Index Terms

Computer Science
Information Sciences

Keywords

Machine translation Morphological analysis Morphological generation Arabic

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