{"title":"Unseen but influential associates: Properties of words' associates influence lexical and semantic processing.","authors":"Emiko J Muraki, Penny M Pexman","doi":"10.3758/s13423-024-02485-5","DOIUrl":null,"url":null,"abstract":"<p><p>In many models of lexical and semantic processing, it is assumed that single word processing is a function of the characteristics of the words presented and the distributional properties of the words' networks. Recent research suggests that semantic characteristics of a target word's associates may in fact influence target-word responses in lexical-semantic tasks. The present study extends that previous research to examine whether lexical and semantic properties of target-word associates are recruited during lexical and semantic decision tasks, and whether the type of associate information recruited varies as a function of task and concreteness of the target word. We found that lexical-semantic properties of words' first associates are related to accuracy of responses to words in lexical decision, and that semantic properties of words' first associates are related to both response time and accuracy in semantic decision. Further, these effects differ depending on the target word's concreteness. These findings provide new insight about the way words' associates contribute to semantic representation and processing, even though the associates are not actually presented, moving beyond previous assumptions about lexical-semantic processing of single words.</p>","PeriodicalId":20763,"journal":{"name":"Psychonomic Bulletin & Review","volume":" ","pages":"2257-2265"},"PeriodicalIF":3.2000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychonomic Bulletin & Review","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.3758/s13423-024-02485-5","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/8 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
In many models of lexical and semantic processing, it is assumed that single word processing is a function of the characteristics of the words presented and the distributional properties of the words' networks. Recent research suggests that semantic characteristics of a target word's associates may in fact influence target-word responses in lexical-semantic tasks. The present study extends that previous research to examine whether lexical and semantic properties of target-word associates are recruited during lexical and semantic decision tasks, and whether the type of associate information recruited varies as a function of task and concreteness of the target word. We found that lexical-semantic properties of words' first associates are related to accuracy of responses to words in lexical decision, and that semantic properties of words' first associates are related to both response time and accuracy in semantic decision. Further, these effects differ depending on the target word's concreteness. These findings provide new insight about the way words' associates contribute to semantic representation and processing, even though the associates are not actually presented, moving beyond previous assumptions about lexical-semantic processing of single words.
期刊介绍:
The journal provides coverage spanning a broad spectrum of topics in all areas of experimental psychology. The journal is primarily dedicated to the publication of theory and review articles and brief reports of outstanding experimental work. Areas of coverage include cognitive psychology broadly construed, including but not limited to action, perception, & attention, language, learning & memory, reasoning & decision making, and social cognition. We welcome submissions that approach these issues from a variety of perspectives such as behavioral measurements, comparative psychology, development, evolutionary psychology, genetics, neuroscience, and quantitative/computational modeling. We particularly encourage integrative research that crosses traditional content and methodological boundaries.