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Evaluation of lexical cohesion algorithms for Arabic topic segmentation
Joint Authors
Bin Muhammad, Muhammad
Harrag, Fawzi
Abu Bakr, Hamdi-Sharif
Source
Issue
Vol. 18, Issue 1 (31 Dec. 2010), pp.103-116, 14 p.
Publisher
Research Centre for Scientific and Technical Information
Publication Date
2010-12-31
Country of Publication
Algeria
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
The need of having a topic segmentation system for Arabic text is due essentially to improve the functionalities of Arabic Information Retrieval (AIR).
Topic segmentation of texts has been used to improve the accuracy of the subsequent processes such as question answering and information retrieval.
In this paper we present the implementation and the evaluation of two algorithms for Arabic text segmentation which are Text-Tilling and C99.
We compare the quality of the outputs of the two algorithms and we evaluate the relative performance of Text Tiling algorithm with respect to another cohesion based segmenter : C99 algorithm using the classical Recall/Precision evaluation metrics and the recently introduced Reader Judgment method.
American Psychological Association (APA)
Harrag, Fawzi& Abu Bakr, Hamdi-Sharif& Bin Muhammad, Muhammad. 2010. Evaluation of lexical cohesion algorithms for Arabic topic segmentation. RIST،Vol. 18, no. 1, pp.103-116.
https://search.emarefa.net/detail/BIM-269917
Modern Language Association (MLA)
Bin Muhammad, Muhammad…[et al.]. Evaluation of lexical cohesion algorithms for Arabic topic segmentation. RIST Vol. 18, no. 1 (2010), pp.103-116.
https://search.emarefa.net/detail/BIM-269917
American Medical Association (AMA)
Harrag, Fawzi& Abu Bakr, Hamdi-Sharif& Bin Muhammad, Muhammad. Evaluation of lexical cohesion algorithms for Arabic topic segmentation. RIST. 2010. Vol. 18, no. 1, pp.103-116.
https://search.emarefa.net/detail/BIM-269917
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 114-116
Record ID
BIM-269917