1. Al-Sanie, W., Touir, A., Mathkour, H. (2005). Towards a suitable rhetorical representation for Arabic text summarization. In Kotsis, G., Taniar, D., Bressan, S., Ibrahim, I.K., Mokhtar, S. (Eds.), iiWAS, vol. 196, Austrian Computer Society, pp. 535–542.
2. MCMR: maximum coverage and minimum redundant text summarization model;Alguliev;Expert Syst. Appl.,2011
3. MR&MR-sum: maximum relevance and minimum redundancy document summarization model;Alguliev;Int J Inf Technol Decis Making,2013
4. Arabic tokenization system;Attia,2007
5. A text summarizer for Arabic;Azmi;Comput. Speech Lang.,2012