Generating Classical Chinese Poems from Vernacular Chinese Article Swipe
Zhichao Yang
,
Pengshan Cai
,
Yansong Feng
,
Fei Li
,
Weijiang Feng
,
Elena Suet-Ying Chiu
,
Hong Qing Yu
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.18653/v1/d19-1637
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.18653/v1/d19-1637
Classical Chinese poetry is a jewel in the treasure house of Chinese culture. Previous poem generation models only allow users to employ keywords to interfere the meaning of generated poems, leaving the dominion of generation to the model. In this paper, we propose a novel task of generating classical Chinese poems from vernacular, which allows users to have more control over the semantic of generated poems. We adapt the approach of unsupervised machine translation (UMT) to our task. We use segmentation-based padding and reinforcement learning to address under-translation and over-translation respectively. According to experiments, our approach significantly improve the perplexity and BLEU compared with typical UMT models. Furthermore, we explored guidelines on how to write the input vernacular to generate better poems. Human evaluation showed our approach can generate high-quality poems which are comparable to amateur poems.
Related Topics
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18653/v1/d19-1637
- https://www.aclweb.org/anthology/D19-1637.pdf
- OA Status
- gold
- Cited By
- 21
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2986550325
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2986550325Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.18653/v1/d19-1637Digital Object Identifier
- Title
-
Generating Classical Chinese Poems from Vernacular ChineseWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-01-01Full publication date if available
- Authors
-
Zhichao Yang, Pengshan Cai, Yansong Feng, Fei Li, Weijiang Feng, Elena Suet-Ying Chiu, Hong Qing YuList of authors in order
- Landing page
-
https://doi.org/10.18653/v1/d19-1637Publisher landing page
- PDF URL
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https://www.aclweb.org/anthology/D19-1637.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.aclweb.org/anthology/D19-1637.pdfDirect OA link when available
- Concepts
-
Vernacular, Computer science, Linguistics, Natural language processing, Poetry, Classical Chinese, Chinese language, Artificial intelligence, Literature, History, Art, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
21Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 4, 2023: 5, 2022: 6, 2021: 3Per-year citation counts (last 5 years)
- References (count)
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32Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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