The Contribution Of Multi-Representational Models To Sound Variation

Authors

  • Izabel Cristina Campolina Miranda ufmg
  • Daniela Mara Lima Oliveira Guimarães ufmg

Keywords:

Usage Based Phonology, Exemplar Models, Phonological Variation

Abstract

This paper aims to discuss theories called multi-representational models (usagebased phonology and exemplar models), highlighting the contributions of these theories to the comprehension of sound variation and change. According to multi-representational models, variation is part of a speaker’s knowledge and is represented in his mind alongside with sociointeractional factors. Thus, mental representation is considered multiple, variable and dynamic as language is. We argue that multi-representational models give an important contribution to variation analysis incorporating gradient templates and probability in the organization of linguistic knowledge.

Downloads

Download data is not yet available.

Author Biographies

Izabel Cristina Campolina Miranda, ufmg

fonoaudiológica, mestre e doutora em linguística, realizada estágio de pós-doutorado na UFMG.

Daniela Mara Lima Oliveira Guimarães, ufmg

professora de lingua portuguesa e linguística, pós-doutoranda UFMG.

Downloads

Published

2013-10-14

How to Cite

Miranda, I. C. C., & Oliveira Guimarães, D. M. L. (2013). The Contribution Of Multi-Representational Models To Sound Variation. Letrônica, 6(1), 214–227. Retrieved from https://revistaseletronicas.pucrs.br/index.php/letronica/article/view/13413

Issue

Vol. 6 No. 1 (2013): Sociolinguística Variacionista & Weltliteratur hoje

Section

Linguistics

License

Copyright

The submission of originals to Letrônica implies the transfer by the authors of the right for publication. Authors retain copyright and grant the journal right of first publication. If the authors wish to include the same data into another publication, they must cite Letrônica as the site of original publication.

Creative Commons License

Except where otherwise specified, material published in this journal is licensed under a Creative Commons Attribution 4.0 International license, which allows unrestricted use, distribution and reproduction in any medium, provided the original publication is correctly cited.