Abstract
This paper reports a corpus-based, cognitive semantic study on profiling the varied uses of the Chinese color term hēi 黑 “black” with regard to its metaphorical polysemy. We hypothesize that the semantic (dis)similarities among the eight metaphorical meanings of hēi “black” can be captured by clustering their contextual features, including collocational patterns, morphosyntactic and semantic properties, and discourse information. The Behavioral Profiles approach is adopted for the analyses with the annotations of 800 instances for 46 contextual features and a hierarchical agglomerative cluster analysis conducted on the annotated data. The results show that the eight metaphorical senses of hēi “black” fall into three clusters. This clustering can be explained by the conceptual bases pertaining to color perceptions and color changes, in line with Conceptual Metaphor Theory. This study demonstrates the effectiveness of the corpus-based Behavioral Profiles approach in exploring the underlying cognitive mechanisms of metaphorical extensions and meaning differentiations. © John Benjamins Publishing Company.
| Original language | English |
|---|---|
| Pages (from-to) | 1–33 |
| Journal | International Journal of Corpus Linguistics |
| Volume | 29 |
| Issue number | 1 |
| Online published | 15 Jun 2023 |
| DOIs | |
| Publication status | Published - Feb 2024 |
Funding
Research funded by the Hong Kong Institute for Data Science (#9360163) to Meichun Liu.
Research Keywords
- metaphorical polysemy
- basic color terms
- Behavioral Profiles
- cluster analysis
- Mandarin Chinese
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: This is the author accepted manuscript. The Version of Record is available at https://www.jbe-platform.com/content/journals/10.1075/ijcl.21067.liu. Liu, M., & Dou, J. (2023). Metaphorical Polysemy of the Chinese Color Term hēi ⿊ “black”: A corpus-based cognitive semantic analysis with Behavioral Profiles. International Journal of Corpus Linguistics. Advance online publication. https://doi.org/10.1075/ijcl.21067.liu
RGC Funding Information
- RGC-funded
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