Poetry Generation for Indonesian Pantun: Comparison Between SeqGAN and GPT-2
Dublin Core
Title
Poetry Generation for Indonesian Pantun: Comparison Between SeqGAN and GPT-2
Subject
poetry generation, pantun, text generation, SeqGAN, GPT-2
Description
Pantun is a traditional Malay poem consisting of four lines: two lines of deliverance and two lines of
messages. Each ending-line word in pantun forms an ABAB rhyme pattern. In this work, we compare the performance of Sequence Generative Adversarial Nets (SeqGAN) and Generative Pre-trained Transformer 2 (GPT-2) in automatically generating Indonesian pantun. We also created the first publicly available Indonesian pantun dataset that consists of 7.8K pantun. We evaluated how well each model produced pantun by its lexical
richness and its formedness. We introduced the evaluation of pantun with two aspects: structure and rhyme. GPT-2 performs better with a margin of 29.40% than SeqGAN in forming the structure, 35.20% better in making rhyming patterns, and 0.04 difference in giving richer vocabulary to its generated pantun.
messages. Each ending-line word in pantun forms an ABAB rhyme pattern. In this work, we compare the performance of Sequence Generative Adversarial Nets (SeqGAN) and Generative Pre-trained Transformer 2 (GPT-2) in automatically generating Indonesian pantun. We also created the first publicly available Indonesian pantun dataset that consists of 7.8K pantun. We evaluated how well each model produced pantun by its lexical
richness and its formedness. We introduced the evaluation of pantun with two aspects: structure and rhyme. GPT-2 performs better with a margin of 29.40% than SeqGAN in forming the structure, 35.20% better in making rhyming patterns, and 0.04 difference in giving richer vocabulary to its generated pantun.
Creator
Emmanuella Anggi Siallagan, Ika Alfina
Source
http://dx.doi.org/10.21609/jiki.v16i1.1113
Publisher
Faculty of Computer Science Universitas Indonesia
Date
2023-02-28
Contributor
Sri Wahyuni
Rights
e-ISSN : 2502-9274 printed ISSN : 2088-7051
Format
PDF
Language
English
Type
Text
Coverage
Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Files
Collection
Citation
Emmanuella Anggi Siallagan, Ika Alfina, “Poetry Generation for Indonesian Pantun: Comparison Between SeqGAN and GPT-2,” Repository Horizon University Indonesia, accessed June 11, 2025, https://repository.horizon.ac.id/items/show/8852.