33.2689, Diss: Germanic; Western Nilotic; Computational Linguistics; Historical Linguistics; Phonetics; Phonology: Stefon Michael Flego: ''The Emergence of Vowel Quality Mutation in Germanic and Dinka-Nuer: Modeling the Role of Information-Theoretic Factors Using Agent-Based Simulation''
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LINGUIST List: Vol-33-2689. Sun Sep 04 2022. ISSN: 1069 - 4875.
Subject: 33.2689, Diss: Germanic; Western Nilotic; Computational Linguistics; Historical Linguistics; Phonetics; Phonology: Stefon Michael Flego: ''The Emergence of Vowel Quality Mutation in Germanic and Dinka-Nuer: Modeling the Role of Information-Theoretic Factors Using Agent-Based Simulation''
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Date: Sun, 04 Sep 2022 19:43:30
From: Stefon Flego [stefonflego at gmail.com]
Subject: The Emergence of Vowel Quality Mutation in Germanic and Dinka-Nuer: Modeling the Role of Information-Theoretic Factors Using Agent-Based Simulation
Institution: Indiana University Bloomington
Program: Linguistics
Dissertation Status: Completed
Degree Date: 2022
Author: Stefon Michael Flego
Dissertation Title: The Emergence of Vowel Quality Mutation in Germanic and
Dinka-Nuer: Modeling the Role of Information-Theoretic
Factors Using Agent-Based Simulation
Dissertation URL: https://www.proquest.com/pqdtglobal/docview/2705390335/6718BF4F6AE64B8BPQ/1
Linguistic Field(s): Computational Linguistics
Historical Linguistics
Phonetics
Phonology
Language Family(ies): Germanic
Western Nilotic
Dissertation Director(s):
Kelly Harper Berkson
Dissertation Abstract:
This dissertation uses computational modeling to examine the relationship
between information-theoretic factors and the actuation and direction of
language change. It models the emergence of vowel quality mutation (VQM),
meaning stem vowel alternations that participate directly in morphosyntactic
exponence and which have their historic origin in long-distance coarticulation
with former suffix vowels (e.g. early Germanic *fōt-s ~ *fōt-iz --> English
‘foot’ ~ ‘feet’; Surkum kùɟ-ɛ̀ ~ kùɟ-ʌ̀, cf. Agar Dinka kṳ̀uc ~ kwò̤oc,
‘not know’.3SG~1SG). Given the cross-linguistic ubiquity of suffixing systems,
long-distance coarticulation, and erosion of suffixal material over historical
time, it is unclear why VQM has not developed more frequently across the
world’s languages. Nor is it well understood why VQM would develop at all, as
it acquires several typologically rare properties not shared with its
antecedent system. Using agent-based modeling, I show that we can better
understand the evolution of VQM by simulating how the contextual
predictability of vowel quality contrasts in stems and suffixes affects the
magnitude of long-distance coarticulation and erosion of suffixal material
over historical time. The results indicate that VQM is only likely to emerge
from a stem-suffix system under particular information-theoretic conditions,
namely when stem vowel contrasts have relatively high average contextual
predictability and suffix vowel contrasts have relatively low average
predictability, an asymmetry consistent with data from early Germanic and
Dinka-Nuer. The model predicts that these information-theoretic factors also
influence the internal structure of the resulting mutation system and the size
of its vowel quality inventory. This type of approach enables us to begin
tracing the seeds of language change to quantifiable aspects of communication
and language use, and gives insight into how linguistic systems evolve
holistically— from the physics of speech articulation up through higher-level
morphosyntactic expression.
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