Semantic-pragmatic adaptation

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Abstract/Contents

Abstract
Speakers exhibit considerable production variability at all levels of linguistic representations. This raises the question how successful communication is nevertheless possible most of the time. In this dissertation, I investigate this question and I study to what extent listeners adapt to variable use of words using the example of uncertainty expressions such as 'might' and 'probably'. In several web-based experiments, I show that listeners exhibit uncertainty in their expectations about a generic speaker's use of uncertainty expressions; that listeners update production expectations to match a specific speaker's use of uncertainty expressions after a brief exposure to that speaker; and that updated production expectations result in updated speaker-specific interpretations of uncertainty expressions. I further investigate the associated cognitive processes and I investigate what kind of representations listeners update during semantic-pragmatic adaptation. To this end, I present a novel Bayesian computational model of production expectations of uncertainty expressions and a novel model of the adaptation process based on Bayesian belief updating. Through a series of simulations, I find that post-adaptation behavior is best predicted by a model that assumes that listeners update both speaker-specific semantic representations and speaker-specific utterance choice preferences, suggesting that listeners update at least these two types of representations as a result of adaptation. Finally, I show in additional experiments that listeners adapt to multiple speakers and that adaptation behavior is modulated by non-linguistic contextual factors such as the speaker's mood. This work has implications for both semantic theories of uncertainty expressions and psycholinguistic theories of adaptation: it highlights the need for dynamic semantic representations and suggests that listeners integrate their general linguistic knowledge with speaker-specific experiences to arrive at more precise interpretations

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2020; ©2020
Publication date 2020; 2020
Issuance monographic
Language English

Creators/Contributors

Author Schuster, Sebastian
Degree supervisor Degen, Judith
Thesis advisor Degen, Judith
Thesis advisor Lassiter, Daniel
Thesis advisor Potts, Christopher, 1977-
Degree committee member Lassiter, Daniel
Degree committee member Potts, Christopher, 1977-
Associated with Stanford University, Department of Linguistics

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Sebastian Schuster
Note Submitted to the Department of Linguistics
Thesis Thesis Ph.D. Stanford University 2020
Location electronic resource

Access conditions

Copyright
© 2020 by Sebastian Schuster
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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