A study of chinese sensation verbs used in linguistic synaesthesia

Jia Fei Hong, Chu Ren Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Synaesthesia is a well-known phenomenon, . The neural basis of synaesthesia is characterized by sensation stimuli or cognition that induces a different cognition spontaneously and involuntarily. Sensation verbs are rich and varied in the Chinese lexicon, but so far there has been no extensive study concerning their use in linguistic synaesthesia. To address this gap in the literature, this study will investigate linguistic synaesthesia using the visual verbs “kan4 (look)” and “jian4 (look)”. Moreover, a discussion on semantic mappings and metaphors will be presented.

Original languageEnglish
Title of host publicationChinese Lexical Semantics - 16th Workshop, CLSW 2015, Revised Selected Papers
EditorsQin Lu, Helena Hong Gao
PublisherSpringer Verlag
Pages62-73
Number of pages12
ISBN (Print)9783319271934
DOIs
Publication statusPublished - 2015 Jan 1
Event16th Workshop on Chinese Lexical Semantics Workshop, CLSW 2015 - Beijing, China
Duration: 2015 May 92015 May 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9332
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th Workshop on Chinese Lexical Semantics Workshop, CLSW 2015
CountryChina
CityBeijing
Period15/5/915/5/11

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Keywords

  • Chinese sensation verbs
  • Concepts
  • Metaphors
  • Semantics
  • Synaesthesia
  • Visual verbs

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Hong, J. F., & Huang, C. R. (2015). A study of chinese sensation verbs used in linguistic synaesthesia. In Q. Lu, & H. H. Gao (Eds.), Chinese Lexical Semantics - 16th Workshop, CLSW 2015, Revised Selected Papers (pp. 62-73). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9332). Springer Verlag. https://doi.org/10.1007/978-3-319-27194-1_7