Support of Existing Chatbot Development Framework for Arabic Language: A Brief Survey

  • Eman Saad AL-Hagbani
  • Mohammad Badruddin Khan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 753)


Technological development is known to support many fields in opening new channels to interact with users and website visitors. Highly intelligent applications such as Chatbots are the future, which are used to add a value to the user’s experience in various domains not limited to e-commerce, gaming or education sectors. The main role of these Chatbots is to simulate human conversation to answer the users’ questions and fulfill their needs using artificial intelligent algorithms, natural language processing techniques and knowledge base. In recent years, number of different Chatbots were deployed to accomplish different goals in order to help companies to increase their sales and profits. Due to rapid changing environment and increasing demand, Chatbot development frameworks and platforms were created to assist people without any technical background to build a Chatbot easily and rapidly. But in the Arabic world, comparatively less attention has been given to this area where Chatbot applications are still in the beginning stage and immature due to number of reasons including the complexity of Arabic language. This paper presents the review of some existing Chatbot development frameworks and platforms and their support for Arabic language and discusses their support level for the developer in building the Arabic Chatbot as compared to support for other languages like English and French.


Chatbot Arabic language Frameworks Platforms 


  1. 1.
    Dohrmann, E., Hügi, J., Scheurer, N., Trummer, A., Schneider, R., Christine, E.: Bridging the virtual and the physical space: Kornelia - a chatbot for public libraries. In: BOBCATSSS (2010)Google Scholar
  2. 2.
    Kurdi, H., Alkhaider, S., Alfaifi, N.: Development and evaluation of a web based question answering system for Arabic language. Int. J. Natural Lang. Comput. 3(2), 12–32 (2014)CrossRefGoogle Scholar
  3. 3.
    Woudenberg, A.: A Chatbot Dialogue Manager - Chatbots and Dialogue Systems: A Hybrid Approach, 1st edn. Open Universities Nederland (2014)Google Scholar
  4. 4.
    Jurafsky, D., Martin, J.: Speech and Language Processing (An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition), 1st edn. Library of Congress Cataloging-in-Publication Data, New Jersey (2000)Google Scholar
  5. 5.
    Amilon, M.: Chatbot with common-sense database. Royal Institute of Technology CSC School, Sweden (2015)Google Scholar
  6. 6.
    Chakrabarti, C., Luger, G.: A semantic architecture for artificial conversations. In: International Conference on Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS) (2012)Google Scholar
  7. 7.
    Jusoh, S., Alfawareh, H.M.: Techniques, applications and challenging issue in text mining. IJCSI Int. J. Comput. Sci. Issues. 9(6), 431–436 (2012)Google Scholar
  8. 8.
    Abdul-Kader, S., Woods, J.: Survey on Chatbot design techniques in speech conversation systems. Int. J. Adv. Comput. Sci. Appl. 6(7), 72–80 (2015)Google Scholar
  9. 9.
    Sule, M.: Machine Language Techniques for Conversational Agents, 1st edn. University of North Texas, Texas (2003)Google Scholar
  10. 10.
    Elkateb, S., Black, W., Farwell, D., Pease, A., Vossen, P., Fellbaum, C.: Arabic WordNet and the challenges of Arabic. In: The Challenge of Arabic for NLP/MT Conference (2006)Google Scholar
  11. 11.
    Najeeb, M., Abdelkader, A., Zghoul, M.: Arabic natural language processing laboratory serving islamic sciences. Int. J. Adv. Comput. Sci. Appl. 5(3), 114–117 (2014)Google Scholar
  12. 12.
    Muhtaseb, H., Mellish, C.: Some differences between Arabic and english: a step towards an Arabic upper model. In: The 6th International Conference on Multilingual Computing (1998)Google Scholar
  13. 13.
    Abuelyaman, E., Rahmatallah, L., Mukhtar, W., Elagabani, M.: Machine translation of Arabic language: challenges and keys. In: International Conference on Intelligent Systems, Modelling and Simulation (2014)Google Scholar
  14. 14.
    Albalooshi, N., Mohamed, N., Al-Jaroodi, J.: The challenges of Arabic language use on the internet. In: International Conference on Internet Technology and Secured (2011)Google Scholar
  15. 15.
    Attia, M.: Handling Arabic Morphological and Syntactic Ambiguity within the LFG Framework with a View to Machine Translation. School of Languages, Linguistics and Cultures (2008)Google Scholar
  16. 16.
    Alawneh, M., Omar, N., Sembok, T.: Machine translation from english to Arabic. In: International Conference on Biomedical Engineering and Technology (2011)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Eman Saad AL-Hagbani
    • 1
  • Mohammad Badruddin Khan
    • 1
  1. 1.Information Systems Department, College of Computer and Information SciencesAl Imam Mohammad ibn Saud Islamic University (IMSIU)RiyadhSaudi Arabia

Personalised recommendations