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158219

Automatic Summarization of Arabic Texts

Article

Last updated: 27 Dec 2024

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Abstract

In this article, the linguistic and statistical approaches used in text
summarization are presented. Statistical approach is adopted to build an Arabic
text summarization system. Morphological analysis of words of the original text is
used to support a heuristic for selecting the summary sentences. Evaluation of the
proposed system is introduced. Primary subjective evaluation, based on
Compression Ratio and Retention Ratio, showed that the used approach is effective
and efficient, and performance of the system is promising.

DOI

10.21608/asc.2009.158219

Keywords

artificial intelligence, natural language processing, Information Retrieval, Text Summarization, Arabic Morphological analyzer, Arabic language

Volume

3

Article Issue

1

Related Issue

23273

Issue Date

2009-06-01

Receive Date

2021-03-21

Publish Date

2009-06-01

Page Start

1

Page End

10

Print ISSN

1687-8515

Online ISSN

2682-3578

Article File

ASC_Volume 3_Issue 1_Pages 1-10.pdf

PDF . 792.2kB

Link

https://asc.journals.ekb.eg/article_158219.html

Detail API

https://asc.journals.ekb.eg/service?article_code=158219

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1

Type

Original Article

Type Code

1,549

Publication Type

Journal

Publication Title

Journal of the ACS Advances in Computer Science

Publication Link

https://asc.journals.ekb.eg/

MainTitle

Automatic Summarization of Arabic Texts

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Type

Article

Created At

23 Jan 2023