A Systematic Review of Chatbot Development for Low-Resource Languages

The development of chatbots for low-resource languages presents unique challenges and opportunities in natural language processing. This systematic review examines the current methodologies, technologies, and frameworks employed in developing chatbots for languages with limited computational resources and linguistic data. By analysing studies published in recent times, the study identified key trends in algorithmic approaches, data augmentation techniques, and the integration of local cultural intricacies. The review also highlighted significant achievements and outlined the substantial gaps and challenges that remain. Recommendations were provided for researchers to enhance the development of linguistically inclusive technologies, aiming to bridge the digital divide and foster equitable access to AI-driven solutions.