AfriKI: Machine-in-the-Loop Afrikaans Poetry Generation

Imke van Heerden, Anil Bas


Abstract
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.
Anthology ID:
2021.hcinlp-1.12
Volume:
Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing
Month:
April
Year:
2021
Address:
Online
Editors:
Su Lin Blodgett, Michael Madaio, Brendan O'Connor, Hanna Wallach, Qian Yang
Venue:
HCINLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
74–80
Language:
URL:
https://aclanthology.org/2021.hcinlp-1.12
DOI:
Bibkey:
Cite (ACL):
Imke van Heerden and Anil Bas. 2021. AfriKI: Machine-in-the-Loop Afrikaans Poetry Generation. In Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing, pages 74–80, Online. Association for Computational Linguistics.
Cite (Informal):
AfriKI: Machine-in-the-Loop Afrikaans Poetry Generation (van Heerden & Bas, HCINLP 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.hcinlp-1.12.pdf