Informatics Report Series



Related Pages

Report (by Number) Index
Report (by Date) Index
Author Index
Institute Index

Title:Phonology impacts segmentation in speech processing
Authors: Luca Onnis ; Padraic Monaghan ; Korin Richmond ; Nick Chater
Date:Aug 2005
Publication Title:Journal of Memory and Language
Publication Type:Journal Article Publication Status:Published
Volume No:53(2) Page Nos:225-237
DOI:10.1016/j.jml.2005.02.011 ISBN/ISSN:1096-0821
Pea, Bonatti, Nespor, and Mehler (2002) investigated an artificial language where the structure of words was determined by nonadjacent dependencies between syllables. They found that segmentation of continuous speech could proceed on the basis of these dependencies. However, Pea et al.s artificial language contained a confound in terms of phonology, in that the dependent syllables began with plosives and the intervening syllables began with continuants. We consider three hypotheses concerning the role of phonology in speech segmentation in this task: (1) participants may recruit probabilistic phonotactic information from their native language to the artificial language learning task; (2) phonetic properties of the stimuli, such as the gaps that precede unvoiced plosives, can influences segmentation; and (3) grouping by phonological similarity between dependent syllables contributes to learning the dependency. In a series of experiments controlling the phonological and statistical structure of the language, we found that segmentation performance is influenced by the three factors in different degrees. Learning of nonadjacent dependencies did not occur when (3) is eliminated. We suggest that phonological processing provides a fundamental contribution to distributional analysis.
Links To Paper
No links available
Bibtex format
author = { Luca Onnis and Padraic Monaghan and Korin Richmond and Nick Chater },
title = {Phonology impacts segmentation in speech processing},
journal = {Journal of Memory and Language},
publisher = {Elsevier},
year = 2005,
month = {Aug},
volume = {53(2)},
pages = {225-237},
doi = {10.1016/j.jml.2005.02.011},

Home : Publications : Report 

Please mail <> with any changes or corrections.
Unless explicitly stated otherwise, all material is copyright The University of Edinburgh