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A Novel Framework for Arabic Dialect Chatbot Using Machine Learning.

Nadrh Abdullah Alhassan1, Abdulaziz Saad Albarrak1, Surbhi Bhatia1

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Summary
This summary is machine-generated.

This study introduces a new framework for an Arabic troubleshooting chatbot to address technical issues. The developed chatbot framework and corpus demonstrate superior performance in accuracy and response time compared to existing models.

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Area of Science:

  • Natural Language Processing (NLP)
  • Artificial Intelligence (AI)
  • Human-Computer Interaction (HCI)

Background:

  • Chatbots are increasingly popular for online dialogue systems, mimicking human conversation in various languages and industries.
  • Despite successes in languages like English, Spanish, and French, Arabic chatbots, particularly for technical troubleshooting, are scarce and challenging to develop.
  • Existing AI-driven dialogue systems lack specialized Arabic content for technical support.

Purpose of the Study:

  • To propose a novel framework for an Arabic troubleshooting chatbot.
  • To address the challenges of Arabic language processing and content scarcity in chatbot development.
  • To create and implement an Arabic corpus for diagnosing and solving technical issues.

Main Methods:

  • Developed a novel framework for an Arabic troubleshooting chatbot.
  • Created an Arabic corpus by extracting IT problems and solutions from reliable sources and customer support websites (Samsung, HP, Microsoft).
  • Evaluated the chatbot's performance using experiments and compared it with previous research using various metrics.

Main Results:

  • The proposed framework successfully created a realistic Arabic corpus for troubleshooting.
  • Experimental validation demonstrated the chatbot's effectiveness in diagnosing and solving technical issues.
  • The Arabic troubleshooting chatbot significantly outperformed previous systems in accuracy, response time, and solution relevance.

Conclusions:

  • The novel framework provides a viable solution for developing Arabic chatbots in the maintenance domain.
  • The implemented Arabic corpus and chatbot framework effectively address the scarcity of Arabic content for technical support.
  • The system shows promising results, outperforming existing chatbots across key performance indicators.