The Semantics of Evidentials
Sarah E. Murray
Mar 2017 · Oxford Studies in Semantics and Pragmatics Book 9 · Oxford University Press
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About this eBook
This book provides argues for a compositional, truth-conditional, crosslinguistic semantics for evidentiality, the linguistic encoding of the source of information on which a statement is based. Central to the proposed theory is the distinction between what propositional content is at-issue and what content is not-at-issue. Evidentials contribute not-at-issue content, and can affect the level of commitment a sentence makes to the main proposition, which is contributed by sentential mood. In this volume, Sarah Murray builds on recent work in the formal semantics of evidentials and related phenomena, and proposes a semantics that does not appeal to separate dimensions of illocutionary meaning. Instead, she argues that all sentences make three semantic contributions: at-issue content, not-at-issue content, and an illocutionary relation. At-issue content is presented and made available for subsequent anaphora, but is not directly added to the common ground; not-at-issue content directly updates the common ground; and the illocutionary relation uses a proposition to impose structure on the common ground, which, depending on the clause type, can trigger further updates. The analysis is supported by extensive empirical data from Cheyenne, drawn from the authors own fieldwork, as well as from English and a variety of other languages.
About the author
Sarah E. Murray obtained her PhD from Rutgers University in 2010, and is currently Associate Professor in the Department of Linguistics at Cornell University. Her main research interests are the semantics and pragmatics of natural language, and she works extensively with Cheyenne, an Algonquian language spoken in Montana and Oklahoma. Her work has been published in journals such as Semantics and Pragmatics and International Journal of American Linguistics, as well as in edited volumes including OUPs Methodologies in Semantic Fieldwork (eds Ryan M. Bochnak and Lisa Matthewson, 2015).
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