25.3279, Diss: Computational Linguistics, Morphology, Phonology: Chandlee: 'Strictly Local Phonological Processes'

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LINGUIST List: Vol-25-3279. Fri Aug 15 2014. ISSN: 1069 - 4875.

Subject: 25.3279, Diss: Computational Linguistics, Morphology, Phonology: Chandlee: 'Strictly Local Phonological Processes'

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Date: Fri, 15 Aug 2014 16:46:31
From: Jane Chandlee [janemc at udel.edu]
Subject: Strictly Local Phonological Processes

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Institution: University of Delaware 
Program: Department of Linguistics & Cognitive Science 
Dissertation Status: Completed 
Degree Date: 2014 

Author: Jane Chandlee

Dissertation Title: Strictly Local Phonological Processes 

Dissertation URL:  http://udel.edu/~janemc/Chandlee_dissertation_2014.pdf

Linguistic Field(s): Computational Linguistics
                     Morphology
                     Phonology


Dissertation Director(s):
Jeffrey N. Heinz

Dissertation Abstract:

This dissertation identifies a strong computational property of phonological
and morphological processes with local triggers. It is shown that the
input-output mapping that underlies these processes can be modeled with
Strictly Local (SL) functions, a previously undefined class of subregular
relations. The SL functions, which are divided into two proper subclasses of
subsequential functions (the Input SL functions and Output SL functions) are
characterized in automata-theoretic terms by combining the properties of
subsequential transduction (Mohri, 1997) and the Strictly Local formal
languages (McNaughton and Papert, 1971; Rogers and Pullum, 2011; Rogers et
al., 2013). Importantly, the property of strict locality is independent of and
compatible with both rule- and constraint-based grammatical formalisms, since
it holds of the input-output mappings that both formalisms describe. The range
of processes that are shown to be Strictly Local includes substitution,
deletion, insertion, synchronic metathesis, local partial reduplication, and
general affixation. This computational property aids in identifying the set of
'phonologically possible' processes within the larger set of logically
possible processes. In addition, a learning algorithm that provably learns the
class of ISL functions by using strict locality as an inductive principle is
also presented. These combined contributions to typology and learning
demonstrate how computational analysis can enhance our understanding of the
nature of locality in phonological processes.







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