Sahil Luthra, Anne Marie Crinnion, David Saltzman, James S. Magnuson
{"title":"Do They Know It's Christmash? Lexical Knowledge Directly Impacts Speech Perception","authors":"Sahil Luthra, Anne Marie Crinnion, David Saltzman, James S. Magnuson","doi":"10.1111/cogs.13449","DOIUrl":null,"url":null,"abstract":"<p>We recently reported strong, replicable (i.e., replicated) evidence for <i>lexically mediated compensation for coarticulation</i> (LCfC; Luthra et al., 2021), whereby lexical knowledge influences a prelexical process. Critically, evidence for LCfC provides robust support for <i>interactive</i> models of cognition that include <i>top-down feedback</i> and is inconsistent with <i>autonomous</i> models that allow only feedforward processing. McQueen, Jesse, and Mitterer (2023) offer five counter-arguments against our interpretation; we respond to each of those arguments here and conclude that top-down feedback provides the most parsimonious explanation of extant data.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"102","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/cogs.13449","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
We recently reported strong, replicable (i.e., replicated) evidence for lexically mediated compensation for coarticulation (LCfC; Luthra et al., 2021), whereby lexical knowledge influences a prelexical process. Critically, evidence for LCfC provides robust support for interactive models of cognition that include top-down feedback and is inconsistent with autonomous models that allow only feedforward processing. McQueen, Jesse, and Mitterer (2023) offer five counter-arguments against our interpretation; we respond to each of those arguments here and conclude that top-down feedback provides the most parsimonious explanation of extant data.
我们最近报告了词汇介导的共同发音补偿(LCfC;Luthra et al.至关重要的是,LCfC 的证据为包含自上而下反馈的互动认知模型提供了强有力的支持,而与只允许前馈处理的自主模型并不一致。麦奎恩、杰西和米特勒(2023)针对我们的解释提出了五个反驳论点;我们在此一一回应,并得出结论:自上而下的反馈为现有数据提供了最合理的解释。