AfriKI: Machine-in-the-Loop Afrikaans Poetry Generation
This work addresses the lack of creative text generation tools for Afrikaans speakers, though it is incremental as it applies existing methods to a new language.
The authors tackled the problem of creative text generation in Afrikaans by developing AfriKI, an LSTM-based generative language model trained on a small corpus of contemporary fiction, resulting in a machine-in-the-loop tool for poetry generation.
This 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.