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

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5th International Symposium on Data Mining Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 753))

Abstract

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.

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Correspondence to Eman Saad AL-Hagbani .

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AL-Hagbani, E.S., Khan, M.B. (2018). Support of Existing Chatbot Development Framework for Arabic Language: A Brief Survey. In: Alenezi, M., Qureshi, B. (eds) 5th International Symposium on Data Mining Applications. Advances in Intelligent Systems and Computing, vol 753. Springer, Cham. https://doi.org/10.1007/978-3-319-78753-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-78753-4_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78752-7

  • Online ISBN: 978-3-319-78753-4

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