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Stressing what is important: Orthographic cues and lexical stress assignment

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Stressing what is important: Orthographic cues and lexical stress assignment. / Seva, Nada; Monaghan, Padraic; Arciuli, Joanne.
In: Journal of Neurolinguistics, Vol. 22, No. 3, 05.2009, p. 237-249.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Seva N, Monaghan P, Arciuli J. Stressing what is important: Orthographic cues and lexical stress assignment. Journal of Neurolinguistics. 2009 May;22(3):237-249. doi: 10.1016/j.jneuroling.2008.09.002

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Seva, Nada ; Monaghan, Padraic ; Arciuli, Joanne. / Stressing what is important: Orthographic cues and lexical stress assignment. In: Journal of Neurolinguistics. 2009 ; Vol. 22, No. 3. pp. 237-249.

Bibtex

@article{3f7de31927c446e5967e80a89e3c7e6f,
title = "Stressing what is important: Orthographic cues and lexical stress assignment",
abstract = "Computational models of reading have typically focused on monosyllabic words. However extending those models to polysyllabic word reading can uncover critical points of distinction between competing models. We present a connectionist model of stress assignment that learned to map orthography onto stress position for English disyllabic words. We compared the performance of the connectionist model to Rastle and Coltheart's [(2000).] rule-based model of stress assignment for words and nonwords. The connectionist model performed well on predicting human performance in reading nonwords that both contained and did not contain affixes, whereas the Rastle and Coltheart model performed well only oil nonwords with affixes. The connectionist model provides an important first step to simulating all aspects of polysyllabic word reading, and indicates that a probabilistic approach to stress assignment can reflect human performance on stress assignment for both words and nonwords. (C) 2008 Elsevier Ltd. All rights reserved.",
keywords = "Connectionist model of stress assignment, VISUAL WORD RECOGNITION, LANGUAGE-ACQUISITION, CONNECTIONIST MODELS, READING ALOUD, PHONOLOGY, DYSLEXIA",
author = "Nada Seva and Padraic Monaghan and Joanne Arciuli",
year = "2009",
month = may,
doi = "10.1016/j.jneuroling.2008.09.002",
language = "English",
volume = "22",
pages = "237--249",
journal = "Journal of Neurolinguistics",
issn = "0911-6044",
publisher = "Elsevier BV",
number = "3",

}

RIS

TY - JOUR

T1 - Stressing what is important: Orthographic cues and lexical stress assignment

AU - Seva, Nada

AU - Monaghan, Padraic

AU - Arciuli, Joanne

PY - 2009/5

Y1 - 2009/5

N2 - Computational models of reading have typically focused on monosyllabic words. However extending those models to polysyllabic word reading can uncover critical points of distinction between competing models. We present a connectionist model of stress assignment that learned to map orthography onto stress position for English disyllabic words. We compared the performance of the connectionist model to Rastle and Coltheart's [(2000).] rule-based model of stress assignment for words and nonwords. The connectionist model performed well on predicting human performance in reading nonwords that both contained and did not contain affixes, whereas the Rastle and Coltheart model performed well only oil nonwords with affixes. The connectionist model provides an important first step to simulating all aspects of polysyllabic word reading, and indicates that a probabilistic approach to stress assignment can reflect human performance on stress assignment for both words and nonwords. (C) 2008 Elsevier Ltd. All rights reserved.

AB - Computational models of reading have typically focused on monosyllabic words. However extending those models to polysyllabic word reading can uncover critical points of distinction between competing models. We present a connectionist model of stress assignment that learned to map orthography onto stress position for English disyllabic words. We compared the performance of the connectionist model to Rastle and Coltheart's [(2000).] rule-based model of stress assignment for words and nonwords. The connectionist model performed well on predicting human performance in reading nonwords that both contained and did not contain affixes, whereas the Rastle and Coltheart model performed well only oil nonwords with affixes. The connectionist model provides an important first step to simulating all aspects of polysyllabic word reading, and indicates that a probabilistic approach to stress assignment can reflect human performance on stress assignment for both words and nonwords. (C) 2008 Elsevier Ltd. All rights reserved.

KW - Connectionist model of stress assignment

KW - VISUAL WORD RECOGNITION

KW - LANGUAGE-ACQUISITION

KW - CONNECTIONIST MODELS

KW - READING ALOUD

KW - PHONOLOGY

KW - DYSLEXIA

U2 - 10.1016/j.jneuroling.2008.09.002

DO - 10.1016/j.jneuroling.2008.09.002

M3 - Journal article

VL - 22

SP - 237

EP - 249

JO - Journal of Neurolinguistics

JF - Journal of Neurolinguistics

SN - 0911-6044

IS - 3

ER -