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Automated System To Summarize Texts In Arabic Using Intelligence Techniques | ||
| journal of kerbala university | ||
| Article 1, Volume 9, Issue 3, 2013, Pages 69-81 PDF (0 K) | ||
| Authors | ||
| Ahmed Tariq Sadiq; Suaad Abed Al-Wahab Ismail | ||
| Abstract | ||
| The proposed system was adopted extraction method in summarizing the Arabic text using natural language processing by stripping the text of the Arabic stop words and some precedents and suffixes, as well as through statistical operations of words within the text, and thus get a sentences most important in the text for a summary. Have been adopted more than one method to offer this proposed system where the use two algorithms of the steaming algorithms are Lovins steamer algorithm from cutting methods because it is based on the removal of the longest suffix and this is what was adopted by (storage Luxor word), also used n- grams algorithm of statistical methods in terms of their dependence on the similarity between the words down to the root account and repeat the words in the text to get the summary.The essence of the proposed system is to find the best parameter values of all the features used in all ratios used to summarize. | ||
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