The RK processor: A program for analysing metaphor and word feature-listing data

Feature-listing tasks are an invaluable resource for exploring how words, categories, and metaphors are represented. However, manually coding the generated features is time-consuming and expensive, and involves subjective judgments from the experimenter. The purpose of this paper is to introduce the...

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Vydáno v:Behavior research methods Ročník 54; číslo 1; s. 174 - 195
Hlavní autoři: Reid, J. Nick, Katz, Albert
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.02.2022
Springer Nature B.V
Témata:
Ambiguity
Behavioral Science and Psychology
Classification
Cognitive Psychology
Compound words
Comprehension
Computer applications
Data processing
Humans
Intelligibility
Judgment
Mathematical models
Metaphor
Morality
Psychology
Research applications
Semantic categories
Semantics
Subjectivity
Automated data processing
Property generation
Metaphor
Feature-listing
Word representation
ISSN:1554-3528, 1554-3528
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Popis
Shrnutí:Feature-listing tasks are an invaluable resource for exploring how words, categories, and metaphors are represented. However, manually coding the generated features is time-consuming and expensive, and involves subjective judgments from the experimenter. The purpose of this paper is to introduce the “RK processor”, a program that was developed in our lab to analyse metaphor feature data but which can also be applied to other feature-listing data. After detailing the steps of processing, we demonstrate that the processed feature data align with previous findings in which metaphor features were processed manually and that the processed features predict dimensions of metaphor judgments pertaining to comprehensibility and metaphor goodness. Lastly, we present several other applications for research on word similarity, compound words, categories and concepts, semantic ambiguity, incongruity resolution and computational modelling. The RK processor offers researchers a valuable tool to save time and resources and to maintain consistency in processing.
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ISSN:1554-3528
1554-3528
DOI:10.3758/s13428-021-01564-y