Abu Shawar, BA and Atwell, ES (2004) An Arabic chatbot giving answers from the Qur'an. In: Bel, B and Marlien, I, (eds.) Proceedings of TALN04: XI Conference sur le Traitement Automatique des Langues Naturelles. TALN04: XI Conference sur le Traitement Automatique des Langues Naturelles, 19-22 Apr 2004, Fez, Morocco. ATALA , 197 - 202. ISBN 2-9518233-5-5
Abstract
We present machine-learning techniques used to generate an Arabic chatbot, which accepts user input in Arabic and generates replies extracted from the Qur'an. A system to learn conversational patterns from a Corpus of transcribed conversation has been used to generate a range of chatbots speaking different languages including English, French and Afrikaans. We review aspects of the Arabic language, which pose problems for chatbot-learning, and we discuss the revised process to handle Arabic training text and input/output. In principle, the Qur'an provides guidance and answers to religious and other questions; so we used the Qur'an as a training corpus for our chatbot. As the Qur'an is not a transcription of a conversation, we adapted the learning process to cope with the structure of the Qur'an in terms of sooras and ayyas. The resulting system accepts user input in Arabic, and answers with appropriate ayyas from the Qur'an.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Keywords: | Chat; machine learning; corpus; Artificial Intelligence markup language; Arabic |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Jan 2015 12:38 |
Last Modified: | 19 Dec 2022 13:30 |
Status: | Published |
Publisher: | ATALA |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:82455 |