VUPMC: A new political metaphor corpus in Mandarin Chinese

Open Access
Authors
Publication date 2026
Host editors
  • S. Piperidis
  • N. Bel
  • H. van den Heuvel
  • N. Ide
  • S. Krek
  • A. Toral
Book title The Fifteenth Language Resources and Evaluation Conference (LREC 2026)
Book subtitle Main Conference Proceedings : 13-15 May, 2026
ISBN (electronic)
  • 9782493814494
Event 15th Language Resources and Evaluation Conference
Pages (from-to) 12007–12018
Publisher ELRA Language Resources Association
Organisations
  • Faculty of Humanities (FGw) - Amsterdam Institute for Humanities Research (AIHR) - Amsterdam Center for Language and Communication (ACLC)
Abstract
This article proposes the Conventional and Novel Metaphor Identification Procedure (CNMIP) for Mandarin Chinese and applies this replicable protocol to annotate the VUPMC dataset, a new Political Metaphor Corpus developed at VU University Amsterdam. The VUPMC corpus contains three Chinese political genres (Policy Documents, Remarks, News Reports) and includes over 220,000 tokens of concordance sentences for the node word 贸易 ‘trade’. The corpus analysis shows that 6.64% of lexical units in the VUPMC dataset are used as metaphor-related words (MRWs) to frame trade (e.g., using ‘war’ to frame trade as a war). Further tests show that distributions of MRWs differ significantly across genres and Parts of Speech. Similarities in MRW distributions between the VUPMC and other datasets confirm the reliability of the CNMIP procedure. The differences, however, highlight the methodological advances in manual annotation of conventional and novel MRWs as well as the distinctive features of Chinese political genres. The VUPMC dataset serves as a valuable language resource for computational detection of Chinese conventional and novel metaphors.
Document type Conference contribution
Note With supplementary slides and video.
Language English
Published at
https://doi.org/10.63317/5exd4mc9kh4d (Final published version)
Published at
https://aclanthology.org/2026.lrec-1.940/ (Final published version)
Downloads
2026.lrec2026-1.940 (Final published version)
Supplementary materials
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