The organization of semantic associations between senses in language

Jorge A. Alvarado, Carlos Velasco, Alejandro Salgado

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Distributional semantic representations were used to investigate crossmodal correspondences within language, offering a comprehensive analysis of how sensory experiences interconnect in linguistic constructs. By computing semantic proximity between words from different sensory modalities, a crossmodal semantic network was constructed, providing a general view of crossmodal correspondences in the English language. Community detection techniques were applied to unveil domains of experience where crossmodal correspondences were likely to manifest, while also considering the role of affective dimensions in shaping these domains. The study revealed the existence of an architecture of structured domains of experience in language, whereby crossmodal correspondences are deeply embedded. The present research highlights the roles of emotion and statistical associations in the organization of sensory concepts across modalities in language. The domains identified, including food, the body, the physical world and emotions/values, underscored the intricate interplay between the senses, emotion and semantic patterns. These findings align with the embodied lexicon hypothesis and the semantic coding hypothesis, emphasizing the capacity of language to capture and reflect crossmodal correspondences’ emotional and perceptual subtleties in the form of networks, while also revealing opportunities for further perceptual research on crossmodal correspondences and multisensory integration.

Original languageEnglish
Pages (from-to)1588-1617
Number of pages30
JournalLanguage and Cognition
Volume16
Issue number4
DOIs
StatePublished - 01 Dec 2024

Keywords

  • computational linguistics
  • concept representation
  • crossmodal correspondences
  • distributional semantic representations
  • emotion
  • multisensory integration
  • network science
  • semantic domains

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