f vs θ

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Degree type
Doctor of Philosophy (PhD)
Graduate group
Linguistics
Discipline
Linguistics
Subject
Historical linguistics
Linguistic typology
Phonology
Sound change
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Copyright date
2023
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Author
Sayeed, Oliver
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Abstract

The fricatives f and θ have an asymmetrical relationship: θ is rarer than f typologically; θ is more phonetically variable than f; θ is more confusable with f than f is with θ; θ > f is common diachronically while f > θ is rare or unattested; and θ is acquired later by children than f. But why? The first half of the dissertation is about the f-θ asymmetry at the level of the individual speaker, using artificial language learning and perception experiments to test different explanations of the asymmetry. Chapter 1 lays out the basic empirical facts about f and θ. Chapter 2 discusses an artificial language learning experiment searching for both analytic bias, a mental bias skewing language learners towards particular rules based on their phonetic content, or channel bias, an asymmetry between rates of misperception for the two sounds. Chapter 3 digs deeper into a channel bias explanation with a perception experiment on speakers of English and Greek, discussing crosslinguistic variation in the perception of f and θ. The second half of the dissertation is more theoretical: we ask how individual-level perceptual asymmetries can scale up to the level of the world’s languages. Chapter 4 discusses how individual misperception events by child learners might lead to the existence of a whole new I-language, related to the input by regular sound change. Chapter 5 describes a model of multiple speakers of different ages interacting in a speech community, illustrating how new innovations by individual learners can spread to the rest of the population. Zooming out further to the level of the whole world, Chapter 6 presents a model of multiple languages undergoing generations of sound change, showing how phonetic biases in the actuation of sound change translate into typological patterns across the world’s languages.

Advisor
Roberts, Gareth
Date of degree
2023
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