Publication: AfriKI: machine-in-the-loop Afrikaans poetry generation
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Baş, Anıl
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NO
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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.
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Association for Computational Linguistics (ACL)
Subject
Artificial intelligence, Chinese poetry, Lyrics
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Bridging Human-Computer Interaction and Natural Language Processing, HCINLP 2021 - Proceedings of the 1st Workshop