A Multilingual African Embedding for FAQ Chatbots
Searching for an available, reliable, official,
and understandable information is not a trivial
task due to scattered information across the internet, and the availability lack of governmental communication channels communicating
with African dialects and languages. In this
paper, we introduce an Artificial Intelligence
Powered chatbot for crisis communication that
would be omnichannel, multilingual and multi
dialectal. We present our work on modified
StarSpace embedding tailored for African dialects for the question-answering task along
with the architecture of the proposed chatbot system and a description of the different layers. English, French, Arabic, Tunisian,
Igbo,Yorub` a, and Hausa are used as languages ´
and dialects. Quantitative and qualitative evaluation results are obtained for our real deployed Covid-19 chatbot. Results show that
users are satisfied and the conversation with
the chatbot is meeting customer needs.
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