Automatic Summarization of Arabic Texts | ||||
| Journal of the ACS Advances in Computer Science | ||||
| Article 1, Volume 3, Issue 1, 2009, Page 1-10 PDF (773.62 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/asc.2009.158219 | ||||
 View on SCiNiTO | ||||
| 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. | ||||
| Keywords | ||||
| Artificial Intelligence; Natural Language Processing; Information Retrieval; Text summarization; Arabic Morphological analyzer; Arabic language | ||||
|
Statistics Article View: 83 PDF Download: 157 |
||||
