SAFAR: Acknowledgement

We would like to thank the following people:

  • Abdelali Ahmed et all.: for FARASA segmenter.
    Citation: Abdelali, Ahmed, Kareem Darwish, Nadir Durrani, and Hamdy Mubarak. “Farasa: A fast and furious segmenter for arabic.” In Proceedings of the 2016 conference of the North American chapter of the association for computational linguistics: Demonstrations, pp. 11-16. 2016.
  • Arfath Pasha et all.: for MADAMIRA Analyzer.
    Citation: Arfath Pasha, Mohamed Al-Badrashiny, Mona Diab, Ahmed El Kholy, Ramy Eskander, Nizar Habash, Manoj Pooleery, Owen Rambow, and Ryan M. Roth. “MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic”. LREC, 2014.
  • Boudchiche, Mohamed, and Azzeddine Mazroui: for Alkhalil Lemmatizer.
    Citation: Boudchiche, Mohamed, and Azzeddine Mazroui. “A hybrid approach for Arabic lemmatization.” International Journal of Speech Technology 22, no. 3 (2019): 563-573.
  • Green, Spence, and Christopher D. Manning: for Stanford parser.
    Citation:Green, Spence, and Christopher D. Manning. “Better Arabic parsing: baselines, evaluations, and analysis.” The 23rd International Conference on Computational Linguistics (COLING ’10). Beijing: Association for Computational Linguistics, 2010. 394-402.
  • Hosam Algasaier: for ISRI stemmer.
    Citation: H. Algasaier, “The ISRI Arabic Stemmer,” 2005. [Online]. Available: http://www.nltk.org/_modules/nltk/stem/isri.html. [Accessed 1 February 2015].
  • Kareem Darwish: for its version of the light stemmer.
    Citation: Darwish, K. (2002). Building a shallow Arabic morphological analyzer in one day. Proceedings of the ACL-2002 Workshop on Computational Approaches to Semitic Languages, (pp. 47-54). Retrieved from https://aclweb.org/anthology
  • Kareem Darwish et all.: for FARASA pos tagger.
    Citation: Kareem Darwish, Hamdy Mubarak, Ahmed Abdelali, and Mohamed Eldesouki, “Arabic pos tagging: Don’t abandon feature engineering just yet,” In Proceedings of the Third Arabic Natural Language Processing Workshop, 2017, (pp. 130-137).
  • Leah Larkey et all.: for the light stemmer.
    Citation: L. S. Larkey, L. Ballesteros and M. E. Connell, “Light Stemming for Arabic Information Retrieval,” Arabic computational morphology, pp. 221-243, 2007.
  • Majdi Sawalha: for the Gold Standard for Evaluating Arabic Morphological Analyzers.
    Citation: Sawalha, M. (n.d.). Gold Standard of Arabic. Retrieved April 23, 2015, from Gold Standard for Evaluating Arabic Morphological Analyzers: http://www.comp.leeds.ac.uk/sawalha/goldstandard.html
  • Mohamed Boudchiche et all.: for AlKhalil 2 morphological analyzer.
    Citation: Mohamed Boudchiche, Azzeddine Mazroui, Mohamed Ould Abdallahi Ould Bebah, Abdelhak Lakhouaja, Abderrahim Boudlal, “AlKhalil Morpho Sys 2: A robust Arabic morpho-syntactic analyzer”, Journal of King Saud University – Computer and Information Sciences, Volume 29, Issue 2, 2017.
  • Motaz Saad: for motaz stemmer.
    Citation: S. Motaz, “Arabic Computational Linguistics,” 2013. [Online]. Available: http://sourceforge.net/projects/ar-text-mining/. [Accessed 1 february 2015].
  • OULD ABDALLAHI OULD BEBAH Mohamed, Abdelahk Lakhouaja, Abdelouafi Meziane, Abderrahim Boudlal, Shoul Mostafa and Azzeddine Mazroui: for AlKhalil morphological analyzer.
    Citation: Boudlal, A., Lakhouaja, A., Mazroui, A., Meziane, A., Ould Abdallahi, O. B., & Shoul, M. (2011). Alkhalil Morpho Sys: A morphosyntactic analysis system for Arabic texts. Proceedings of ACIT’2010.
  • Pierrick Brihaye : for AraMorph (the java version of BAMA).
    Citation: Brihaye, P. (2003). AraMorph. Retrieved April 23, 2015, from AraMorph: http://www.nongnu.org/aramorph/english/index.html
  • Shereen Khoja: for the Arabic stemmer.
    Citation: S. Khoja, “Khoja stemmer,” 2002. [Online]. Available: http://zeus.cs.pacificu.edu/shereen/research.htm#stemming. [Accessed 1 February 2015].
  • Taha Zerrouki: from Tashaphyne stemmer.
    Citation: T. Zerrouki, “Tashaphyne 0.2,” 2012. [Online]. Available: https://pypi.python.org/pypi/Tashaphyne. [Accessed 1 February 2015].