Home > Research > Publications & Outputs > A computational model of reading across develop...

Associated organisational unit

Electronic data

  • chang_monaghan_welbourne_19_jml

    Accepted author manuscript, 1.38 MB, PDF document

    Available under license: CC BY: Creative Commons Attribution 4.0 International License

Links

Text available via DOI:

View graph of relations

A computational model of reading across development: Effects of literacy onset on language processing

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

A computational model of reading across development: Effects of literacy onset on language processing. / Chang, Ya-Ning; Monaghan, Padraic; Welbourne, Stephen.
In: Journal of Memory and Language, Vol. 108, 104025, 01.10.2019.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Chang YN, Monaghan P, Welbourne S. A computational model of reading across development: Effects of literacy onset on language processing. Journal of Memory and Language. 2019 Oct 1;108:104025. Epub 2019 Jun 1. doi: 10.1016/j.jml.2019.05.003

Author

Bibtex

@article{a00452ed88e64a9aaac3ca9b5ce04fcc,
title = "A computational model of reading across development: Effects of literacy onset on language processing",
abstract = "Cognitive development is shaped by interactions between cognitive architecture and environmental experiences of the growing brain. We examined the extent to which this interaction during development could be observed in language processing. We focused on age of acquisition (AoA) effects in reading, where early-learned words tend to be processed more quickly and accurately relative to later-learned words. We implemented a computational model including representations of print, sound and meaning of words, with training based on children{\textquoteright}s gradual exposure to language. The model produced AoA effects in reading and lexical decision, replicating the larger effects of AoA when semantic representations are involved. Further, the model predicted that AoA would relate to differing use of the reading system, with words acquired before versus after literacy onset with distinctive accessing of meaning and sound representations. An analysis of behaviour from the English Lexicon project was consistent with the predictions: Words acquired before literacy are more likely to access meaning via sound, showing a suppressed AoA effect, whereas words acquired after literacy rely more on direct print to meaning mappings, showing an exaggerated AoA effect. The reading system reveals vestigial traces of acquisition reflected in differing use of word representations during reading.",
keywords = "Reading acquisition, Computational modelling, literacy, Age of acquisition, Word naming, Lexical decision, Division of labour",
author = "Ya-Ning Chang and Padraic Monaghan and Stephen Welbourne",
year = "2019",
month = oct,
day = "1",
doi = "10.1016/j.jml.2019.05.003",
language = "English",
volume = "108",
journal = "Journal of Memory and Language",
issn = "0749-596X",
publisher = "Academic Press Inc.",

}

RIS

TY - JOUR

T1 - A computational model of reading across development

T2 - Effects of literacy onset on language processing

AU - Chang, Ya-Ning

AU - Monaghan, Padraic

AU - Welbourne, Stephen

PY - 2019/10/1

Y1 - 2019/10/1

N2 - Cognitive development is shaped by interactions between cognitive architecture and environmental experiences of the growing brain. We examined the extent to which this interaction during development could be observed in language processing. We focused on age of acquisition (AoA) effects in reading, where early-learned words tend to be processed more quickly and accurately relative to later-learned words. We implemented a computational model including representations of print, sound and meaning of words, with training based on children’s gradual exposure to language. The model produced AoA effects in reading and lexical decision, replicating the larger effects of AoA when semantic representations are involved. Further, the model predicted that AoA would relate to differing use of the reading system, with words acquired before versus after literacy onset with distinctive accessing of meaning and sound representations. An analysis of behaviour from the English Lexicon project was consistent with the predictions: Words acquired before literacy are more likely to access meaning via sound, showing a suppressed AoA effect, whereas words acquired after literacy rely more on direct print to meaning mappings, showing an exaggerated AoA effect. The reading system reveals vestigial traces of acquisition reflected in differing use of word representations during reading.

AB - Cognitive development is shaped by interactions between cognitive architecture and environmental experiences of the growing brain. We examined the extent to which this interaction during development could be observed in language processing. We focused on age of acquisition (AoA) effects in reading, where early-learned words tend to be processed more quickly and accurately relative to later-learned words. We implemented a computational model including representations of print, sound and meaning of words, with training based on children’s gradual exposure to language. The model produced AoA effects in reading and lexical decision, replicating the larger effects of AoA when semantic representations are involved. Further, the model predicted that AoA would relate to differing use of the reading system, with words acquired before versus after literacy onset with distinctive accessing of meaning and sound representations. An analysis of behaviour from the English Lexicon project was consistent with the predictions: Words acquired before literacy are more likely to access meaning via sound, showing a suppressed AoA effect, whereas words acquired after literacy rely more on direct print to meaning mappings, showing an exaggerated AoA effect. The reading system reveals vestigial traces of acquisition reflected in differing use of word representations during reading.

KW - Reading acquisition

KW - Computational modelling

KW - literacy

KW - Age of acquisition

KW - Word naming

KW - Lexical decision

KW - Division of labour

U2 - 10.1016/j.jml.2019.05.003

DO - 10.1016/j.jml.2019.05.003

M3 - Journal article

VL - 108

JO - Journal of Memory and Language

JF - Journal of Memory and Language

SN - 0749-596X

M1 - 104025

ER -