A lexicon of perception for the identification of synaesthetic metaphors in corpora

Francesca Strik Lievers, Chu-ren Huang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

Synaesthesia is a type of metaphor associating linguistic expressions that refer to two different sensory modalities. Previous studies, based on the analysis of poetic texts, have shown that synaesthetic transfers tend to go from the lower toward the higher senses (e.g., sweet music vs. musical sweetness). In non-literary language synaesthesia is rare, and finding a sufficient number of examples manually would be too time-consuming. In order to verify whether the directionality also holds for conventional synaesthesia found in non-literary texts, an automatic procedure for the identification of instances of synaesthesia is therefore highly desirable. In this paper, we first focus on the preliminary step of this procedure, that is, the creation of a controlled lexicon of perception. Next, we present the results of a small pilot study that applies the extraction procedure to English and Italian corpus data.
Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016
PublisherEuropean Language Resources Association (ELRA)
Pages2270-2277
Number of pages8
ISBN (Electronic)9782951740891
Publication statusPublished - 1 Jan 2016
Event10th International Conference on Language Resources and Evaluation, LREC 2016 - Grand Hotel Bernardin Conference Center, Portoroz, Slovenia
Duration: 23 May 201628 May 2016

Conference

Conference10th International Conference on Language Resources and Evaluation, LREC 2016
Country/TerritorySlovenia
CityPortoroz
Period23/05/1628/05/16

Keywords

  • Lexicon
  • Perception
  • Synaesthesia

ASJC Scopus subject areas

  • Linguistics and Language
  • Library and Information Sciences
  • Language and Linguistics
  • Education

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