期刊
THEORETICAL LINGUISTICS
卷 49, 期 3-4, 页码 167-223出版社
WALTER DE GRUYTER GMBH
DOI: 10.1515/tl-2023-2009
关键词
iconicity; at-issueness; gestures; ideophones
This paper investigates the information status of iconic contributions in spoken language and proposes a new theoretical concept of at-issueness as a gradient category. Factors affecting the information status of iconic contributions are discussed, and a scale for iconic phenomena based on these factors is proposed. By analyzing at-issueness as a gradient property, a nuanced understanding of the interaction between non-at-issue content and at-issue content is achieved, and a new approach to Common Ground updates is presented.
Linguistic structures can contribute different types of meaning alongside standard assertions, such as conventional implicatures and presuppositions, which have long been described as being non-at-issue meaning contributions. Although information status has long been handled as a binary opposition between non-at-issue and at-issue content, recent research suggests that a gradient approach may be more appropriate. Building on new - and in the formal linguistic framework so far mostly neglected - data targeting spoken and gestural iconicity, specifically iconic gestures and ideophones, this paper investigates the information status of such iconic contributions in spoken language and suggests a new theoretical concept of at-issueness by spelling it out as a gradient category. The paper highlights a range of factors which can affect the information status of iconic contributions, proposing a scale for iconic phenomena based on these factors. To formally model this scale, we propose an approach in which at-issueness is analysed as a gradient property based on a given structure-inherent at-issueness status and the corresponding proposition's relevance to a Question Under Discussion in a given context. This analysis accounts for the variations in information status observed between different iconic enrichments and their impact on truth conditions and paves the way for an approach to Common Ground updates using this model. The analysis outlined here allows for a more nuanced understanding of non-at-issue content and its interaction with at-issue content and provides predictions which can guide further experimental work on information status and the factors that influence it.
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