DocumentCode
1973583
Title
Applying topic segmentation algorithms on arabic language
Author
Harrag, Fouzi ; Hamdi-Cherif, Aboubekeur ; Al-Salman, Abdul Malik S
Author_Institution
Comput. Sci. Dept, Farhat ABBAS Univ., Setif
fYear
2009
fDate
10-13 May 2009
Firstpage
865
Lastpage
868
Abstract
The need of having a topic segmentation system for Arabic text is 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 assessment of two algorithms for Arabic text segmentation which are TextTilling and C99. We evaluate the performance of these algorithms using the classical Recall/Precision metrics and the Reader Judgment method.
Keywords
information retrieval; natural language processing; Arabic information retrieval; Arabic language; C99; TextTilling; question answering; reader judgment method; text segmentation; topic segmentation algorithms; Computer networks; Computer science; Educational institutions; Image segmentation; Information retrieval; Knowledge engineering; Natural languages; Streaming media; Text categorization; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Systems and Applications, 2009. AICCSA 2009. IEEE/ACS International Conference on
Conference_Location
Rabat
Print_ISBN
978-1-4244-3807-5
Electronic_ISBN
978-1-4244-3806-8
Type
conf
DOI
10.1109/AICCSA.2009.5069432
Filename
5069432
Link To Document