Un Systeme De Resume De Textes En Arabe
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Publié-e :
déc 28, 2013
Mots-clés :
Résume automatique, Traitement automatique de la langue arabe, Extraction de l'information, traduction arabe.
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Résumé
Cet article propose une méthode de production de résumés pour les textes arabes. Nous avons adapté à la langue arabe les techniques de résumé automatique qui ont prouvé leur efficacité pour d'autres langues ct qui donnent des résultats satisfaisants au niveau international. Grâce aux techniques de compression que nous avons introduites, nous avons pu montrer, lors d'une compétition d'évaluation de résumés automatiques, que les traductions des résumés produits par notre système étaient meilleures que des résumés produits a partir de textes traduits.
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Comment citer
Douzidia, F., & Lapalme, G. (2013). Un Systeme De Resume De Textes En Arabe. AL-Lisaniyyat, 19(2), 11-21. https://doi.org/10.61850/allj.v19i2.480
Rubrique
Articles
Références
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for Thai. The Sixth International Workshop on Information Retrieval with Asian
Languages (IRAL-2003), July 7, 2003, Sapporo Japan, . Ÿ 6.
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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, August 2002, pp. 275-29,
[3] M. Attia, A large-scale computational processor of the Arabic morphology, 4 Master's
Thesis, Cairo University, (Egypt) 2000.
[4] Mohammed Aljlayl and Ophir Frieder. On Arabic Search: Improving the Retrieval
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Information and Knowledge Management (CIKM), November 2002, /520317
[5] Darwish, K. and D. Oard. CLIR Experiments at Maryland for TREC 2002: Evidence
Combination for Arabic-English Retrieval in TREC. 2002. Gaithersburg, MD.
hitp:trec.nist.:gov pubs/trec | | 'papers umd.darw ish.pdl
[6] K. Darwish: Probabilistic Methods for Searching OCR-Degraded Arabic Text, Doctoral
dissertation, University of Maryland, 2003
[7] A. Chen and F. Gey: Building an Arabic Stemmer for Information Retrieval. Proceedings
of the Eleventh Text REtrieval Conference (TREC 2002). National Institute of Standards
and Technology, Nov 18-22, 2002, /> 031-040,
[8] H. Saggion, Génération automatique de résumés par analyse sélective, Thèse de Ph.D en
Informatique, Université de Montréal, août 2000.
[9] C. Nobata & S. Sekine, Results of CRL/NYU System at DUC-2003 and an Experiment on
Division of Document, Proceedings of the Document Understanding Conference (DUC
2003), Edmonton, Canada. pp. 79-N4
[10] Ishikawa, K., Ando, S., Okumura, A.: Hybrid Text Summarization Method based on the
TF Method and the Lead Method. Proceedings of the Second NTCIR Workshop Meeting
on Evaluation of Chinese & Japanese Text Retrieval and Text Summarization. Tokyo.
Japan. March 2001. pp 219234
[11] C-Y. Lin, ROUGE: A Package for Automatic Evaluation of Summaries, Proceedings of
Workshop on Text Summarization Branches Out, Post-Conference Workshop of ACL
2004, Barcelona, Spain, p 74-51.
[12] P. Over, J. Yen, An Introduction to DUC 2004 Intrinsic Evaluation of Generic New Text
Summarization Systems, Proceedings of the Document Understanding Conference (DUC 2004), Boston (USA), May 6-7 2004, pp. 1-21.
for Thai. The Sixth International Workshop on Information Retrieval with Asian
Languages (IRAL-2003), July 7, 2003, Sapporo Japan, . Ÿ 6.
[2] 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, August 2002, pp. 275-29,
[3] M. Attia, A large-scale computational processor of the Arabic morphology, 4 Master's
Thesis, Cairo University, (Egypt) 2000.
[4] Mohammed Aljlayl and Ophir Frieder. On Arabic Search: Improving the Retrieval
Effectiveness via a Light Stemming Approach, /n 11th International Conference on
Information and Knowledge Management (CIKM), November 2002, /520317
[5] Darwish, K. and D. Oard. CLIR Experiments at Maryland for TREC 2002: Evidence
Combination for Arabic-English Retrieval in TREC. 2002. Gaithersburg, MD.
hitp:trec.nist.:gov pubs/trec | | 'papers umd.darw ish.pdl
[6] K. Darwish: Probabilistic Methods for Searching OCR-Degraded Arabic Text, Doctoral
dissertation, University of Maryland, 2003
[7] A. Chen and F. Gey: Building an Arabic Stemmer for Information Retrieval. Proceedings
of the Eleventh Text REtrieval Conference (TREC 2002). National Institute of Standards
and Technology, Nov 18-22, 2002, /> 031-040,
[8] H. Saggion, Génération automatique de résumés par analyse sélective, Thèse de Ph.D en
Informatique, Université de Montréal, août 2000.
[9] C. Nobata & S. Sekine, Results of CRL/NYU System at DUC-2003 and an Experiment on
Division of Document, Proceedings of the Document Understanding Conference (DUC
2003), Edmonton, Canada. pp. 79-N4
[10] Ishikawa, K., Ando, S., Okumura, A.: Hybrid Text Summarization Method based on the
TF Method and the Lead Method. Proceedings of the Second NTCIR Workshop Meeting
on Evaluation of Chinese & Japanese Text Retrieval and Text Summarization. Tokyo.
Japan. March 2001. pp 219234
[11] C-Y. Lin, ROUGE: A Package for Automatic Evaluation of Summaries, Proceedings of
Workshop on Text Summarization Branches Out, Post-Conference Workshop of ACL
2004, Barcelona, Spain, p 74-51.
[12] P. Over, J. Yen, An Introduction to DUC 2004 Intrinsic Evaluation of Generic New Text
Summarization Systems, Proceedings of the Document Understanding Conference (DUC 2004), Boston (USA), May 6-7 2004, pp. 1-21.