The Measure of Resonance: A Computational Cross-Cultural Analysis of Floral Poetics in Tang and Renaissance Verse

Tiange Zhou , Marco Bidin

Transactions on Artificial Intelligence ›› 2025, Vol. 1 ›› Issue (1) : 326 -339.

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Transactions on Artificial Intelligence ›› 2025, Vol. 1 ›› Issue (1) :326 -339. DOI: 10.53941/tai.2025.100022
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The Measure of Resonance: A Computational Cross-Cultural Analysis of Floral Poetics in Tang and Renaissance Verse
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Abstract

The systematic comparison of pre-modern literary traditions demands a methodology capable of balancing historical specificity with analytical rigor. This study constructs an integrative framework that bridges deep hermeneutic traditions and computational literary analysis. Focusing on the peony in Tang-dynasty China (618-907 CE) and the rose in Renaissance England (ca. 1500-1660 CE), we situate these emblematic flowers within Janet Abu-Lughod’s paradigm of the pre-modern Afro- Eurasian “world system”, establishing their comparability as distinct yet interconnected cultural formations. To move beyond impressionistic analogy, we introduce a compu- tational transposition of the logic of cultural dimensions research—the translation of abstract values into measurable axes of variation—from sociological surveys to poetic language. Treating the peony and the rose as Ernst Cassirer’s symbolic forms, we em- ploy a multi-method computational triangulation—multilingual BERT embeddings for semantic resonance, LDA topic modeling for thematic structure, and transformer-based emotion analysis for affective tonality—to model their symbolic architectures across a bilingual corpus of 49 Tang peony poems and 45 Renaissance rose sonnets after quality control and alignment constraints. Results reveal a shared preoccupation with beauty and transience as a universal axis of meaning. Yet a significant negative correlation (r = −0.128, p < 0.05) between semantic and thematic alignment suggests a pattern of structural complementarity rather than direct similarity: Tang and Renaissance poetics converge in emotional and aesthetic concerns while diverging in symbolic framing. The study thus proposes both a substantive insight into cross-civilizational poetics and a transferable methodological paradigm—one that complements close reading with empirical scalability and structural clarity in the comparative study of the world literature.

Keywords

digital humanities / computational poetics / cross-cultural analysis / symbolic forms / tang poetry / renaissance sonnets / world-systems

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Tiange Zhou, Marco Bidin. The Measure of Resonance: A Computational Cross-Cultural Analysis of Floral Poetics in Tang and Renaissance Verse. Transactions on Artificial Intelligence, 2025, 1(1): 326-339 DOI:10.53941/tai.2025.100022

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Supplementary Materials

The following supporting information can be downloaded at: https://drive.google.com/file/d/11Az-DlhKO2-I54p5r2XXdWmKpVut-cec/view?usp=sharing, Table S1: Bilingual Glossary of Floral Imagery (Chinese-English mappings used for topic alignment); File S1: ZIP archive containing the full source code, preprocessed datasets (Tang/Renaissance corpora), and detailed result matrices.

Author Contributions

T.Z.: conceptualization, methodology, software; T.Z.: data curation, writing—original draft preparation; M.B.: visualization, investigation; T.Z.: writing—reviewing and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Beijing Normal University, grant number 31220050252509.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Acknowledgments

We are particularly thankful for the administrative and technical assistance received from the School of Future Design at Beijing Normal University and College of Music Technology at Xinghai Conservatory of Music).

Conflicts of Interest

The authors declare no conflict of interest.

Use of AI and AI-Assisted Technologies

During the preparation of this work, the authors used DeepSeek exclusively as a tool for grammar checking and proofreading, as none of the authors are native English speakers. After using this tool, the authors reviewed and edited the content as needed and take full responsibility for the content of the published article.

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