Caroline F. Rowland, Amy Bidgood, Gary Jones, Andrew Jessop, Paula Stinson, Julian M. Pine, Samantha Durrant, Michelle S. Peter
{"title":"Simulating the Relationship Between Nonword Repetition Performance and Vocabulary Growth in 2‐Year‐Olds: Evidence From the Language 0–5 Project","authors":"Caroline F. Rowland, Amy Bidgood, Gary Jones, Andrew Jessop, Paula Stinson, Julian M. Pine, Samantha Durrant, Michelle S. Peter","doi":"10.1111/lang.12671","DOIUrl":null,"url":null,"abstract":"A strong predictor of children's language is performance on non‐word repetition (NWR) tasks. However, the basis of this relationship remains unknown. Some suggest that NWR tasks measure phonological working memory, which then affects language growth. Others argue that children's knowledge of language/language experience affects NWR performance. A complicating factor is that most studies focus on school‐aged children, who have already mastered key language skills. Here, we present a new NWR task for English‐learning 2‐year‐olds, use it to assess the effect of NWR performance on concurrent and later vocabulary development, and compare the children's performance with that of an experience‐based computational model (CLASSIC). The new NWR task produced reliable results; replicating wordlikeness effects, word‐length effects, and the relationship with concurrent and later language ability we see in older children. The model also simulated all effects, suggesting that the relationship between vocabulary and NWR performance can be explained by language experience‐/knowledge‐based theories.","PeriodicalId":51371,"journal":{"name":"Language Learning","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Language Learning","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1111/lang.12671","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
A strong predictor of children's language is performance on non‐word repetition (NWR) tasks. However, the basis of this relationship remains unknown. Some suggest that NWR tasks measure phonological working memory, which then affects language growth. Others argue that children's knowledge of language/language experience affects NWR performance. A complicating factor is that most studies focus on school‐aged children, who have already mastered key language skills. Here, we present a new NWR task for English‐learning 2‐year‐olds, use it to assess the effect of NWR performance on concurrent and later vocabulary development, and compare the children's performance with that of an experience‐based computational model (CLASSIC). The new NWR task produced reliable results; replicating wordlikeness effects, word‐length effects, and the relationship with concurrent and later language ability we see in older children. The model also simulated all effects, suggesting that the relationship between vocabulary and NWR performance can be explained by language experience‐/knowledge‐based theories.
期刊介绍:
Language Learning is a scientific journal dedicated to the understanding of language learning broadly defined. It publishes research articles that systematically apply methods of inquiry from disciplines including psychology, linguistics, cognitive science, educational inquiry, neuroscience, ethnography, sociolinguistics, sociology, and anthropology. It is concerned with fundamental theoretical issues in language learning such as child, second, and foreign language acquisition, language education, bilingualism, literacy, language representation in mind and brain, culture, cognition, pragmatics, and intergroup relations. A subscription includes one or two annual supplements, alternating among a volume from the Language Learning Cognitive Neuroscience Series, the Currents in Language Learning Series or the Language Learning Special Issue Series.