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The role of iconicity, construal, and proficiency in the online processing of handshape
Language and Cognition ( IF 2.660 ) Pub Date : 2020-03-02 , DOI: 10.1017/langcog.2020.1
CORRINE OCCHINO , BENJAMIN ANIBLE , JILL P. MORFORD

abstractIconicity has traditionally been considered an objective, fixed, unidimensional property of language forms, often operationalized as transparency for experimental purposes. Within a Cognitive Linguistics framework, iconicity is a mapping between an individual’s construal of form and construal of meaning, such that iconicity is subjective, dynamic, and multidimensional. We test the latter alternative by asking signers who differed in ASL proficiency to complete a handshape monitoring task in which we manipulated the number of form–meaning construals that target handshapes participated in. We estimated the interaction of iconicity, proficiency, and construal density using mixed-effects models for response time and accuracy with crossed random effects for participants and items.Results show a significant three-way interaction between iconicity, proficiency, and construal density such that less-proficient signers detected handshapes in more iconic signs faster than less iconic signs regardless of the handshape they were monitoring, but highly proficient signers’ performance was only improved by iconicity for handshapes that participate in many construals. Taken in conjunction with growing evidence of the subjectivity of iconicity, we interpret these results as support for the claim that construal is a core mechanism underlying iconicity, both for transparent and systematic language-internal form–meaning mappings.

中文翻译:

象似性、解释性和熟练性在手形在线处理中的作用

摘要标志性传统上被认为是语言形式的客观、固定、一维属性,通常被操作为透明度用于实验目的。在认知语言学框架内,象似性是个体的解释形式和解释意义,因此象似性是主观的、动态的和多维的。我们通过要求 ASL 熟练程度不同的签名者完成手形监测任务来测试后一种选择,在该任务中,我们操纵了目标手形参与的形式意义解释的数量。我们使用混合估计了象似性、熟练程度和解释密度的相互作用- 响应时间和准确性的影响模型以及参与者和项目的交叉随机效应。结果表明,在象似性、熟练程度和解释密度之间存在显着的三向交互作用,因此不太熟练的签名者比不那么熟练的签名更快地检测到更多标志性标志中的手形无论他们监控的手形如何,但是,高度熟练的签名者的表现只能通过参与许多解释的手形的象似性来提高。结合越来越多的象似性主观性证据,我们将这些结果解释为支持这样一种说法,即解释是象似性的核心机制,对于透明和系统的语言-内部形式-意义映射都是如此。
更新日期:2020-03-02
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