Earticle

초록

영어

We present an automatic summarization of Arabic texts. In this context, two methods for automatic summarization of Arabic documents are proposed and comparatively analyzed. The first method is based on rhetorical structure theory RST that uses linguistic knowledge. The second method is based on digital learning theory that relies on mathematical rules. Both methods are implemented using the Arabic summarization RST ASRST and Arabic summarization digital learning ASDL systems. Thereafter, results obtained by the two systems are presented and a comparative study between the obtained results is conducted to highlight the advantages and limitations of each method. Evaluation results showed that the numerical approach has better performance than the symbolic approach, particularly when the texts are short. By contrast, the symbolic approach provides better result than the numerical approach when the texts are long.

목차

Abstract
 1. Introduction
 2. Summary Based on RST
  2.1. Rhetorical Relations Used in the Analysis
  2.2. Proposed Method
  2.3. Arabic Rhetorical Relation
 3. Proposed Numerical Method
  3.1. Presentation
  3.2. Main Stages of the Proposed Method
 4. Evaluation
 5. Discussion of Results
 References

키워드

저자

• Weihua Gui [ School of Information Science and Engineering, Central South University Changsha, Hunan (HN), 410000/ Time (UTC+8), China ]
• Khaled Alwesabi [ School of Information Science and Engineering, Central South University Changsha, Hunan (HN), 410000/ Time (UTC+8), China ] Corresponding Author
• Abdullah Ayedh [ School of Information Science and Engineering, Central South University Changsha, Hunan (HN), 410000/ Time (UTC+8), China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605