A Multiple Correspondence Analysis on the Adverbial Uses of the Chinese Color Term Bai ‘White’

Jinmeng Dou*, Meichun Liu, Zhuo Zhang

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

This paper conducts a corpus-based semantic analysis on the adverbial uses of the Chinese color term bai ‘white’ regarding its two metaphorical meanings – “In vain/For no reason” and “Free of charge”. Based on distributional semantics, it is hypothesized that the semantic (dis)similarities of the two meanings can be captured by their usage features in real corpora. In the current study, the multiple correspondence analysis technique is employed to explore the distinctive usage patterns of the two metaphorical meanings based on a dataset that consists of 195 sentences randomly extracted from corpora. These sentences are manually annotated with 19 usage features, encompassing linguistic information from lexical-collocational, semantic, and discourse levels. By visualizing the general distributional patterns of the two meanings and their association strengths with the distinctive usage features, it is found that there are remarkable (dis)similarities between the two metaphorical senses regarding their usage variations, which can be used to explain the cognitive motivations of the two meanings in line with the Conceptual Metaphor theory. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Original languageEnglish
Title of host publicationChinese Lexical Semantics
Subtitle of host publication24th Workshop, CLSW 2023, Singapore, Singapore, May 19–21, 2023, Revised Selected Papers, Part I
EditorsMinghui Dong, Jia-Fei Hong, Jingxia Lin, Peng Jin
Place of PublicationSingapore
PublisherSpringer 
Pages254-265
VolumePart I
ISBN (Electronic)978-981-97-0583-2
ISBN (Print)9789819705825
DOIs
Publication statusPublished - 28 Feb 2024
Event24th Chinese Lexical Semantics Workshop (CLSW 2023) - National University of Singapore, Singapore
Duration: 19 May 202321 May 2023
https://www.asianlp.sg/conferences/clsw2023/web/en/welcome-en/

Publication series

NameLecture Notes in Computer Science
Volume14514
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th Chinese Lexical Semantics Workshop (CLSW 2023)
PlaceSingapore
Period19/05/2321/05/23
Internet address

Research Keywords

  • Chinese Color Term
  • Conceptual Metaphor
  • Multiple Correspondence Analysis
  • Polysemy

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