Department of Comparative Literature2024-11-1020219781-9540-8517-6N/A2-s2.0-85123319896https://hdl.handle.net/20.500.14288/16466This paper proposes a generative language model called AfriKI. Our approach is based on an LSTM architecture trained on a small corpus of contemporary fiction. With the aim of promoting human creativity, we use the model as an authoring tool to explore machine-in-the-loop Afrikaans poetry generation. To our knowledge, this is the first study to attempt creative text generation in Afrikaans.Computer ScienceArtificial intelligenceConference proceedinghttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85123319896&partnerID=40&md5=117003bed6b89b14fd548a348917e04710494