Login | Register

From alternations to ordered rules : a system for learning derivational phonology

Title:

From alternations to ordered rules : a system for learning derivational phonology

Simpson, Marc (2010) From alternations to ordered rules : a system for learning derivational phonology. Masters thesis, Concordia University.

[thumbnail of MR67232.pdf]
Preview
Text (application/pdf)
MR67232.pdf - Accepted Version
3MB

Abstract

This work presents a computational rule learner tasked with inferring underlying forms and ordered rules from phonological paradigms akin to those found in traditional pen and paper analyses. The scheme being proposed is a batch learner capable of analysing surface alternations and hypothesising ordered derivations compatible with them in order to create an explicit mapping from UR to SR. We shall refer to both the competence of an idealised speaker-hearer (in keeping with traditional generative linguistic theory) and the conscious methods employed by the phonologist in the course of analysing data sets. The fundamental axiom of this model is that the child has memorised the relevant surface forms (as they appear in the paradigm) alongside the appropriate semantic information in order to allow them to set up paradigmatic structures for the purpose of inferring both underlying forms and phonological rules simultaneously. The mapping from minimal pairs to underlying forms is the primary conduit to inferring the rules themselves.

Divisions:Concordia University > School of Graduate Studies
Item Type:Thesis (Masters)
Authors:Simpson, Marc
Pagination:viii, 114 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M.A.
Program:School of Graduate Studies
Date:2010
Thesis Supervisor(s):Reiss, Charles
Identification Number:LE 3 C66S36M 2010 S56
ID Code:979227
Deposited By: Concordia University Library
Deposited On:09 Dec 2014 17:55
Last Modified:13 Jul 2020 20:11
Related URLs:
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top