About
58
Publications
10,685
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
2,347
Citations
Introduction
Skills and Expertise
Current institution
Publications
Publications (58)
Recent statistical learning views of reading posit that writing systems present to their readers a wide range of statistical regularities which are leveraged to process printed texts. While substantial research has focused on the “vertical” correlations between orthographic, phonological, and semantic units in a given writing system, here we employ...
Scientific studies of language behavior need to grapple with a large diversity of languages in the world and, for reading, a further variability in writing systems. Yet, the ability to form meaningful theories of reading is contingent on the availability of cross-linguistic behavioral data. This paper offers new insights into aspects of reading beh...
It is well documented that humans can extract patterns from continuous input through Statistical Learning (SL) mechanisms. The exact computations underlying this ability, however, remain unclear. One outstanding controversy is whether learners extract global clusters from the continuous input, or whether they are tuned to local co-occurrences of pa...
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...
Purpose: The relationship between the set for variability (SfV) task and various isolated word reading measures in developing readers is high (ranging from .60 to .80 across studies). Elbro et al. (2012) offered that SfV skill serves as a second step in the decoding process allowing the decoded form of the letter string to be matched with the store...
This paper reports an expansion of the English as a second language (L2) component of the Multilingual Eye Movement Corpus (MECO L2), an international database of eye movements during text reading. While the previous Wave 1 of the MECO project (Kuperman et al., 2023) contained English as a L2 reading data from readers with 12 different first langua...
This paper reports an expansion of the English as a second language (L2) component of the
Multilingual Eye Movement Corpus (MECO L2), an international database of eye movements
during text reading. While the previous Wave 1 of the MECO project (Kuperman
et al., 2023) contained English as a L2 reading data from readers with 12 different first
langua...
Statistical learning (SL) is hypothesized to play a fundamental role in reading, yet the correlations between reading and SL are largely mixed. This inconsistency may result from the fact that most SL studies train participants to learn novel, nonlinguistic visual regularities, which overlooks two important factors: (a) SL performance varies across...
Comprehensible communication is critical for social functioning and well-being. In psychopathology, incoherent discourse is assumed to reflect disorganized thinking, which is classically linked to psychotic disorders. However, people do not express everything that comes to mind, rendering inferences from discourse to the underlying structure of tho...
Purpose: Set for variability (SfV; the ability to disambiguate the mismatch between the decodedform of a word and its correct pronunciation) has been shown to predict regular and irregular word reading in children across both transparent and opaque orthographies. It has been offered that SfV is a crucial part of the decoding process associated with...
Lexicon projects (LPs) are large-scale data resources in different languages that present behavioral results from visual word recognition tasks. Analyses using LP data in multiple languages provide evidence regarding cross-linguistic differences as well as similarities in visual word recognition. Here we present the first LP in a Semitic language—t...
Cross-linguistic reading research often focuses on the effect of orthographic depth - the closeness of the relationship between print and speech. To understand its effect on reading, we need to be able to objectively quantify the level of orthographic depth of a given orthography. Previous work has suggested that different dimensions underlie ortho...
Research has consistently demonstrated that the importance or centrality of a linguistic unit to a larger unit’s meaning affects multiple aspects of reading behavior. However, there is an ongoing debate on how to quantify a unit’s degree of importance or centrality, which subsequently limits our understanding of the impact of this important source...
Lexicon projects (LPs) are large-scale data resources in different languages that present behavioral results from visual word recognition tasks. Analyses using LP data in multiple languages provide evidence regarding cross-linguistic differences as well as similarities in visual word recognition. Here we present the first LP in a Semitic language -...
Statistical learning refers to the ability to pick up on the statistical regularities in our sensory environment, typically without intention or conscious awareness. Since the seminal publication on statistical learning in 1996, sensitivity to regularities has become a key concept in our understanding of language acquisition as well as other cognit...
This article presents the ENglish Reading Online (ENRO) project that offers
data on English reading and listening comprehension from 7,338 university-level advanced
learners and native speakers of English representing 19 countries. The database
also includes estimates of reading rate and seven component skills of English, including
vocabulary, spel...
Introduction
The COVID-19 pandemic led to school closure and loss of in-person instruction during the 2019–2020 academic year across the United States, which had a profound impact on the reading development of beginning readers. In this study we tested if a research-informed educational technology (EdTech) program–GraphoLearn–could help alleviate t...
Our environments are saturated with learnable information. What determines which of this information is prioritized for limited attentional resources? Although previous studies suggest that learners prefer medium-complexity information, here we argue that what counts as medium should change as someone learns an input's structure. Specifically, we e...
Quasiregular orthographies such as English contain substantial ambiguities between orthography and phonology that force developing readers to acquire flexibility during decoding of unfamiliar words, a skill referred to as a “set for variability” (SfV). The ease with which a child can disambiguate the mismatch between the decoded form of a word and...
Quasiregular orthographies such as English contain substantial ambiguities between orthography and phonology that force developing readers to acquire flexibility during decoding of unfamiliar words, a skill referred to as a “set for variability” (SfV). The ease with which a child can disambiguate the mismatch between the decoded form of a word and...
Purpose: The COVID-19 pandemic led to school closure and loss of in-person instruction during the 2019-2020 academic year across the U.S., which had a profound impact on the reading development of beginning readers. In this study we tested if a research-informed educational technology (EdTech) program – GraphoLearn – could help alleviate the COVID-...
Research into second language (L2) reading is an exponentially growing field. Yet, it still has a relatively short supply of comparable, ecologically valid data from readers representing a variety of first languages (L1). This article addresses this need by presenting a new data resource called MECO L2 (Multilingual Eye Movements Corpus), a rich be...
Despite considerable interest in subliminal effects, fundamental questions about the proper way of examining them remain unanswered, sowing doubts regarding the veracity of published results. A central question is whether observed effects result from nonconscious processing rather than from some stimuli being consciously perceived by participants w...
How does prior linguistic knowledge modulate learning in verbal auditory statistical learning (SL) tasks? Here, we address this question by assessing to what extent the frequency of syllabic co‐occurrences in the learners’ native language determines SL performance. We computed the frequency of co‐occurrences of syllables in spoken Spanish through a...
Statistical views of reading highlight the link between proficient literacy and the assimilation of various regularities embedded in writing systems, including those in the mapping between print and meaning. Still, orthographic-semantic (O-S) regularities remain relatively understudied, with open questions regarding 3 issues: (a) how O-S regulariti...
A growing body of research investigates individual differences in the learning of
statistical structure, tying them to variability in cognitive (dis)abilities. This
approach views statistical learning (SL) as a general individual ability that underlies
performance across a range of cognitive domains. But is there a general SL capacity
that can sort...
Set for variability (SfV) is an oral language task which requires an individual to disambiguate the mismatch between the decoded form of an irregular word and its actual lexical pronunciation. For example, in the task, the word wasp is pronounced to rhyme with clasp (i.e., /wæsp/) and the individual must recognize the actual pronunciation of the wo...
There is now considerable evidence regarding the types of interventions that are effective at remediating reading disabilities on average. It is generally unclear, however, what predicts the magnitude of individual-level change following a given intervention. We examine new predictors of intervention gains that are theoretically grounded in computa...
Statistical learning (SL) approaches to reading maintain that proficient reading requires assimilation of rich statistical regularities in the writing system. Reading skills in developing first-language readers are predicted by individual differences in sensitivity to regularities in mappings from orthography to phonology (O-P) and semantics (O-S),...
Our environments are saturated with learnable information. What determines which of this information gets prioritized for limited attentional resources? While previous studies suggest that learners prefer medium complexity information, here we argue that what counts as medium should change as someone learns an input's structure. Specifically, we ex...
Decades of research have led to several competing theories regarding the neural contributors to impaired reading. But how can we know which theory (or theories) identifies the types of markers that indeed differentiate between individuals with reading disabilities (RD) and their typically developing (TD) peers? To answer this question, we propose a...
Set for variability (SfV) is an oral language task which requires an individual to disambiguate the mismatch between the decoded form of an irregular word and its actual lexical pronunciation. For example, in the task, the word wasp is pronounced to rhyme with clasp (i.e., /wæsp/) and the individual must recognize the actual pronunciation of the wo...
Statistical learning (SL) theory offers an experience-based account of typical and atypical spoken and written language acquisition. Recent work has provided initial support for this view, tying individual differences in SL abilities to linguistic skills, including language impairments. The current paper provides a critical review of studies testin...
Over the last decade, iterated learning studies have provided compelling evidence for the claim that linguistic structure can emerge from non‐structured input, through the process of transmission. However, it is unclear whether individuals differ in their tendency to add structure, an issue with implications for understanding who are the agents of...
Emerging research has demonstrated that statistical learning is a modality-specific ability governed by domain-general principles. Yet limited research has investigated different forms of statistical learning within modality. This paper explores whether there is one unified statistical learning mechanism within the visual modality, or separate task...
It is generally well accepted that proficient reading requires the assimilation of myriad statistical regularities present in the writing system, including in particular the correspondences between words' orthographic and phonological forms. There is considerably less agreement, however, as to how to quantify these regularities. Here we present a c...
Numerous studies on statistical learning (SL) have demonstrated humans' sensitivity to complex statistical properties in their sensory environment. These observations have had a profound impact on the study of language, highlighting statistical aspects of the linguistic input that can be learned from experience, leading to the widespread claim that...
In order to extract the regularities underlying a continuous sensory input, the individual elements constituting the stream have to be encoded and their transitional probabilities (TPs) should be learned. This suggests that variance in statistical learning (SL) performance reflects efficiency in encoding representations as well as efficiency in det...
Statistical Learning (SL) is typically considered to be a domain-general mechanism by which cognitive systems discover the underlying statistical regularities in the input. Recent findings, however, show clear differences in processing regularities across modalities and stimuli as well as low correlations between performance on visual and auditory...
The Hebb repetition task, an operationalization of long-term sequence learning through repetition, is the focus of renewed interest, as it is taken to provide a laboratory analogue for naturalistic vocabulary acquisition. Indeed, recent studies have consistently related performance in the Hebb repetition task with a range of linguistic (dis)abiliti...
The Hebb repetition task, an operationalization of long-term sequence learning through repetition, is the focus of renewed interest, as it is taken to provide a laboratory analogue for naturalistic vocabulary acquisition. Indeed, recent studies have consistently related performance in the Hebb repetition task with a range of linguistic (dis)abiliti...
Statistical Learning (SL) is typically considered to be a domain-general mechanism by which cognitive systems discover the underlying statistical regularities in the input. Recent findings, however, show clear differences in processing regularities across modalities and stimuli as well as low correlations between performance on visual and auditory...
The Hebb repetition task, an operationalization of long-term sequence learning through repetition, is the focus of renewed interest, as it is taken to provide a laboratory analogue for naturalistic vocabulary acquisition. Indeed, recent studies have consistently related performance in the Hebb repetition task with a range of linguistic (dis)abiliti...
From a theoretical perspective, most discussions of statistical learning (SL) have focused on the possible “statistical” properties that are the object of learning. Much less attention has been given to defining what “learning” is in the context of “statistical learning.” One major difficulty is that SL research has been monitoring participants’ pe...
Probabilistic prediction is a central process in language comprehension. Properties of probability distributions over predictions are often difficult to study in natural language. To obtain precise control over these distributions, we created artificial languages consisting of sequences of shapes. The languages were constructed to vary the uncertai...
In recent years, statistical learning (SL) research has seen a growing interest in tracking individual performance in SL tasks, mainly as a predictor of linguistic abilities. We review studies from this line of research and outline three presuppositions underlying the experimental approach they employ: (i) that SL is a unified theoretical construct...
Most research in statistical learning (SL) has focused on the mean success rates of participants in detecting statistical contingencies at a group level. In recent years, however, researchers have shown increased interest in individual abilities in SL, either to predict other cognitive capacities or as a tool for understanding the mechanism underly...
What determines individuals' efficacy in detecting regularities in visual statistical learning? Our theoretical starting point assumes that the variance in performance of statistical learning (SL) can be split into the variance related to efficiency in encoding representations within a modality and the variance related to the relative computational...
Although the power of statistical learning (SL) in explaining a wide range of linguistic functions is gaining increasing support, relatively little research has focused on this theoretical construct from the perspective of individual differences. However, to be able to reliably link individual differences in a given ability such as language learnin...
Statistical learning (SL) is typically considered to be a domain-general mechanism by which cognitive systems discover the underlying distributional properties of the input. However, recent studies examining whether there are commonalities in the learning of distributional information across different domains or modalities consistently reveal modal...
In the study reported here, we examined whether success (or failure) in assimilating the structure of a second language can be predicted by general statistical-learning abilities that are nonlinguistic in nature. We employed a visual-statistical-learning (VSL) task, monitoring our participants' implicit learning of the transitional probabilities of...
We investigated the interaction between morphological structure and transposed-letter priming using the same-different task with Hebrew, a Semitic language in which morphology has been shown to play a key role in visual word recognition. In contrast to the results observed with lexical decision (e.g., Velan & Frost, 2009, 2011), a transposed-letter...
