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

2021-03-30 · EACL (HCINLP) 2021 4 · Imke van Heerden, Anil Bas

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.

📄 PDF Abstract BibTeX arXiv:2103.16190

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Language ModelingLanguage ModellingText Generation

Methods 이 논문이 사용한 방법론

Tanh Activation 설명 없음
Sigmoid Activation 설명 없음
LSTM An LSTM is a type of recurrent neural network that addresses the vanishing gradient problem in vanilla…

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