Cargando…

Durational Differences of Word-Final /s/ Emerge From the Lexicon: Modelling Morpho-Phonetic Effects in Pseudowords With Linear Discriminative Learning

Recent research has shown that seemingly identical suffixes such as word-final /s/ in English show systematic differences in their phonetic realisations. Most recently, durational differences between different types of /s/ have been found to also hold for pseudowords: the duration of /s/ is longest...

Descripción completa

Detalles Bibliográficos
Autores principales: Schmitz, Dominic, Plag, Ingo, Baer-Henney, Dinah, Stein, Simon David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380959/
https://www.ncbi.nlm.nih.gov/pubmed/34434139
http://dx.doi.org/10.3389/fpsyg.2021.680889
_version_ 1783741273939640320
author Schmitz, Dominic
Plag, Ingo
Baer-Henney, Dinah
Stein, Simon David
author_facet Schmitz, Dominic
Plag, Ingo
Baer-Henney, Dinah
Stein, Simon David
author_sort Schmitz, Dominic
collection PubMed
description Recent research has shown that seemingly identical suffixes such as word-final /s/ in English show systematic differences in their phonetic realisations. Most recently, durational differences between different types of /s/ have been found to also hold for pseudowords: the duration of /s/ is longest in non-morphemic contexts, shorter with suffixes, and shortest in clitics. At the theoretical level such systematic differences are unexpected and unaccounted for in current theories of speech production. Following a recent approach, we implemented a linear discriminative learning network trained on real word data in order to predict the duration of word-final non-morphemic and plural /s/ in pseudowords using production data by a previous production study. It is demonstrated that the duration of word-final /s/ in pseudowords can be predicted by LDL networks trained on real word data. That is, duration of word-final /s/ in pseudowords can be predicted based on their relations to the lexicon.
format Online
Article
Text
id pubmed-8380959
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-83809592021-08-24 Durational Differences of Word-Final /s/ Emerge From the Lexicon: Modelling Morpho-Phonetic Effects in Pseudowords With Linear Discriminative Learning Schmitz, Dominic Plag, Ingo Baer-Henney, Dinah Stein, Simon David Front Psychol Psychology Recent research has shown that seemingly identical suffixes such as word-final /s/ in English show systematic differences in their phonetic realisations. Most recently, durational differences between different types of /s/ have been found to also hold for pseudowords: the duration of /s/ is longest in non-morphemic contexts, shorter with suffixes, and shortest in clitics. At the theoretical level such systematic differences are unexpected and unaccounted for in current theories of speech production. Following a recent approach, we implemented a linear discriminative learning network trained on real word data in order to predict the duration of word-final non-morphemic and plural /s/ in pseudowords using production data by a previous production study. It is demonstrated that the duration of word-final /s/ in pseudowords can be predicted by LDL networks trained on real word data. That is, duration of word-final /s/ in pseudowords can be predicted based on their relations to the lexicon. Frontiers Media S.A. 2021-08-09 /pmc/articles/PMC8380959/ /pubmed/34434139 http://dx.doi.org/10.3389/fpsyg.2021.680889 Text en Copyright © 2021 Schmitz, Plag, Baer-Henney and Stein. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Schmitz, Dominic
Plag, Ingo
Baer-Henney, Dinah
Stein, Simon David
Durational Differences of Word-Final /s/ Emerge From the Lexicon: Modelling Morpho-Phonetic Effects in Pseudowords With Linear Discriminative Learning
title Durational Differences of Word-Final /s/ Emerge From the Lexicon: Modelling Morpho-Phonetic Effects in Pseudowords With Linear Discriminative Learning
title_full Durational Differences of Word-Final /s/ Emerge From the Lexicon: Modelling Morpho-Phonetic Effects in Pseudowords With Linear Discriminative Learning
title_fullStr Durational Differences of Word-Final /s/ Emerge From the Lexicon: Modelling Morpho-Phonetic Effects in Pseudowords With Linear Discriminative Learning
title_full_unstemmed Durational Differences of Word-Final /s/ Emerge From the Lexicon: Modelling Morpho-Phonetic Effects in Pseudowords With Linear Discriminative Learning
title_short Durational Differences of Word-Final /s/ Emerge From the Lexicon: Modelling Morpho-Phonetic Effects in Pseudowords With Linear Discriminative Learning
title_sort durational differences of word-final /s/ emerge from the lexicon: modelling morpho-phonetic effects in pseudowords with linear discriminative learning
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380959/
https://www.ncbi.nlm.nih.gov/pubmed/34434139
http://dx.doi.org/10.3389/fpsyg.2021.680889
work_keys_str_mv AT schmitzdominic durationaldifferencesofwordfinalsemergefromthelexiconmodellingmorphophoneticeffectsinpseudowordswithlineardiscriminativelearning
AT plagingo durationaldifferencesofwordfinalsemergefromthelexiconmodellingmorphophoneticeffectsinpseudowordswithlineardiscriminativelearning
AT baerhenneydinah durationaldifferencesofwordfinalsemergefromthelexiconmodellingmorphophoneticeffectsinpseudowordswithlineardiscriminativelearning
AT steinsimondavid durationaldifferencesofwordfinalsemergefromthelexiconmodellingmorphophoneticeffectsinpseudowordswithlineardiscriminativelearning