A lexicon of perception for the identification of synaesthetic metaphors in corpora
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.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
“Prickly Voice” or “Smelly Voice”? Comprehending novel synaesthetic metaphors
When Embodiment Meets Generative Lexicon: The Human Body Part Metaphors in Sinica Corpus
Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification
There are several linguistic claims about situations where words are more likely to be used as metaphors. However, few studies have sought to verify such claims with large corpora. This study entails a large-scale, corpu…
From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphors
How has the public responded to the increasing prevalence of artificial intelligence (AI)-based technologies? We investigate public perceptions of AI by collecting over 12,000 responses over 12 months from a nationally r…
Language ModelingLanguage Modelling