A System for Summarizing Texts in Arabic
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Published:
Dec 28, 2013
Keywords:
Automatic rendering, automatic translation of the Arabic language, extraction of information, Arabic translation.
Main Article Content
Abstract
This article proposes a method for producing summaries for Arabic texts. We have adapted to the Arabic language the automatic summary techniques which have proven their effectiveness for other languages and which give satisfactory results at the international level. Thanks to the compression techniques that we introduced, we were able to show, during an automatic summary evaluation competition, that the translations of the summaries produced by our system were better than summaries produced from translated texts.
Article Details
How to Cite
Douzidia, F., & Lapalme, G. (2013). A System for Summarizing Texts in Arabic. AL-Lisaniyyat, 19(2), 11-21. https://doi.org/10.61850/allj.v19i2.480
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References
[1] C. Jaruskulchai and C. Kruengkrai: A Practical Text Summarizer by Paragraph Extraction
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.
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.