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The effects of non-linear data structures on the computation of vowel harmony

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Title
The effects of non-linear data structures on the computation of vowel harmony
Name (type = personal)
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Blum
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Eileen
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Eileen Blum
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author
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Jardine
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Adam
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Adam Jardine
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Advisory Committee
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chair
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Akinbiyi
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Akinbiyi Akinlabi
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Advisory Committee
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member
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Tesar
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Bruce
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Bruce Tesar
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Advisory Committee
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member
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Bakovic
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Eric
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Eric Bakovic
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Advisory Committee
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member
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Rutgers University
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degree grantor
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School of Graduate Studies
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theses
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2023
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2023-01
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English
Abstract (type = abstract)
This dissertation develops a new theory of autosegmental locality for vowel harmony patterns. Vowelharmony (vh) is a type of pattern in which vowels within a word assimilate to a particular subsegmental feature. Phonological theory has proposed a variety of representational structures to describe the relationships between subsegmental features but little is known about the computational effects of these structures. In this dissertation I use Formal Language Theory, a subfield of computer science, to compare the computational complexity of vh patterns represented over strings and multi-tiered autosegmental representations (ARs). This comparison determines that multi-tiered ARs with “bottle brush” structures (Clements 1976; Hayes 1990; McCarthy 1988; Padgett 1995) are preferable to strings because they reduce the complexity of vh and create more concise descriptions of vh patterns. I extend Jardine (2016b)’s and Jardine (2017a)’s Autosegmental Strictly Local (ASL) to a new complexity class called ASLVH which encompasses vh patterns that are local over multi-tiered ARs. This new class crosscuts the established subregular stringset hierarchy (Heinz 2018; Heinz, Rawal, and Tanner 2011; Rogers et al. 2013; Rogers and Pullum 2011) because it includes patterns which when represented over strings are strictly local like in Akan, Bayinna Orochen, and Kinande; strictly piecewise like in Finnish; locally testable like in Tutrugbu; and it excludes the unattested first-last-harmony pattern which is star-free (Lai 2015; Jardine 2019). The ASLVH class encompasses vh patterns with both opaque and transparent vowels and predicts a new restriction on the locality of transparency. A contrast in the harmonic feature is shown to have no effect on the complexity of opaque vowels but it vastly increases the complexity of patterns with transparent vowels like the one in Eastern Meadow Mari.
Subject (authority = RUETD)
Topic
Linguistics
Subject (authority = local)
Topic
Autosegmental
Subject (authority = local)
Topic
Complexity
Subject (authority = local)
Topic
Computation
Subject (authority = local)
Topic
Linguistics
Subject (authority = local)
Topic
Phonology
Subject (authority = local)
Topic
Vowel harmony
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Rutgers University Electronic Theses and Dissertations
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http://dissertations.umi.com/gsnb.rutgers:12302
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Extent
132 pages
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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Identifier (type = doi)
doi:10.7282/t3-kqq9-j667
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The author owns the copyright to this work.
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Name
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Blum
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Eileen
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Permission or license
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2023-02-23T12:50:05
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Eileen Blum
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Affiliation
Rutgers University. School of Graduate Studies
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Permission or license
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