2020
DOI: 10.1016/j.jml.2020.104145
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Individual differences in learning the regularities between orthography, phonology and semantics predict early reading skills

Abstract: Statistical views of literacy development maintain that proficient reading requires the assimilation of myriad statistical regularities present in the writing system. Indeed, previous studies have tied statistical learning (SL) abilities to reading skills, establishing the existence of a link between the two. However, some issues are currently left unanswered, including questions regarding the underlying bases for these associations as well as the types of statistical regularities actually assimilated by devel… Show more

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Cited by 51 publications
(112 citation statements)
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“…These studies have provided novel insight into long debated questions about language structure, learning and use (see review in Gibson et al, 2019). Information-theoretic measures such as entropy (Shannon, 1948) quantify the amount of uncertainty in a distribution of linguistic elements and have been shown to impact real-time language processing (Jaeger, 2010;Linzen & Jaeger, 2015;Piantadosi et al, 2011a;Siegelman et al, 2020). Such measures can also be used to characterize language systems as a whole.…”
Section: Quantifying Redundancy Using Entropy Measuresmentioning
confidence: 99%
“…These studies have provided novel insight into long debated questions about language structure, learning and use (see review in Gibson et al, 2019). Information-theoretic measures such as entropy (Shannon, 1948) quantify the amount of uncertainty in a distribution of linguistic elements and have been shown to impact real-time language processing (Jaeger, 2010;Linzen & Jaeger, 2015;Piantadosi et al, 2011a;Siegelman et al, 2020). Such measures can also be used to characterize language systems as a whole.…”
Section: Quantifying Redundancy Using Entropy Measuresmentioning
confidence: 99%
“…Recently, the locus of the semantic interference effect has been the topic of much debate in the field [e.g. 9 , 10 ], despite the well-established evidence for its existence [ 11 ].…”
Section: Introductionmentioning
confidence: 99%
“…The whiskers represent 95% confidence intervals; the boxes span two quartiles (25% and 75%) nature. In line with this, readers' behaviour has been shown to mirror variations in the linguistic environments to which they are exposed (Siegelman et al, 2020;Ulicheva et al, 2020). It is not surprising then that when such variations are present (as for inconsistent patterns), individuals show increased variation from session to session.…”
Section: Session Distances Between Participantsmentioning
confidence: 74%
“…We reasoned that if a stochastic component were added to units within a model of reading (e.g., Rueckl et al, 2019), then the impacts would be greatest on reading aloud those graphemes with multiple possible pronunciations (e.g., EA pronounced as short or long, /ɛ/ as in BREAD or /iː/ as in BREATHE). Likewise, these impacts should be greatest on readers with a high degree of literacy skill likely to have greater knowledge of the multiple pronunciations associated with particular graphemes (e.g., due to their experience with rare words and loan words; see Siegelman et al, 2020;Steacy et al, 2019;Treiman & Kessler, 2006). This rationale led us to predict that intersession variability might be greatest for nonwords comprising graphemes with many possible pronunciations and for participants with a higher degree of reading experience.…”
mentioning
confidence: 99%