scholarly journals Can We Enhance Statistical Learning? Exploring Statistical Learning Improvement in Children with Vocabulary Delay

2021 ◽  
Vol 26 (3) ◽  
pp. 558-567
Author(s):  
Dongsun Yim ◽  
Yoonhee Yang
Keyword(s):  
Statistical Learning ◽  
Incidental Learning ◽  
Learning Task ◽  
Learning Ability ◽  
The Novel ◽  
Typically Developing ◽  
Learning Improvement ◽  
Group Score ◽  
Domain Specific ◽  
Novel Word Learning

Objectives: If statistical learning ability is critical for language acquisition and language development, it is necessary to confirm whether enhancing statistical learning ability can improve the children’s language skills. The present study investigated whether children with and without vocabulary delay (VD) show a difference in improving statistical learning (SL) tasks manipulated with implicit, implicit*2 and explicit conditions, and with visual and auditory domains; and also explores the relationship among SL, vocabulary, and quick incidental learning (QUIL).Methods: A total of 132 children between 3 to 8 years participated in this study, including vocabulary delayed children (N= 34) and typically developing children (N = 98). Participants completed SL tasks which were composed of three exposure conditions, and Quick incidental learning (QUIL) tasks to tap the novel word learning ability.Results: The VD group score was significantly lower than the TD group in the explicit condition of the auditory statistical learning task, and there was a significant correlation between QUIL and SL_auditory (implicit*2) only in the TD group.Conclusion: These results may explain that the TD group was ready to accept the explicit cues for learning as a domain-specific (auditory) benefit, and their auditory SL ability can be closely linked to vocabulary abilities. The current study suggests one possibility; that the VD group can increase the statistical learning ability through double auditory exposures. The novel quick incidental learning in the TD group was supported by the statistical learning, but this was not seen in the VD group.

Measuring Word Learning Ability in Sequential Bilingual Children

2010 ◽  
Vol 17 (1) ◽  
pp. 25-32 ◽  
Author(s):  
Pui Fong Kan
Keyword(s):  
Word Learning ◽  
Learning Ability ◽  
Bilingual Children ◽  
Word Knowledge ◽  
Typically Developing ◽  
Learning Skills ◽  
Word Forms ◽  
The Individual ◽  
Novel Word Learning ◽  
L1 And L2

Abstract The purpose of this article is to look at the word learning skills in sequential bilingual children—children who learn two languages (L1 and L2) at different times in their childhood. Learning a new word is a process of learning a word form and relating this form to a concept. For bilingual children, each concept might need to map onto two word forms (in L1 and in L2). In case studies, I present 3 typically developing Hmong-English bilingual preschoolers' word learning skills in Hmong (L1) and in English (L2) during an 8-week period (4 weeks for each language). The results showed gains in novel-word knowledge in L1 and in L2 when the amount of input is equal for both languages. The individual differences in novel word learning are discussed.

scholarly journals The Role of a Domain-specific Language Mechanism in Learning Natural and Unnatural Stress

2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Angela C. Carpenter
Keyword(s):  
Language Learning ◽  
Learning Task ◽  
Target Language ◽  
Domain Specific Language ◽  
Training Procedure ◽  
The Novel ◽  
Specific Language ◽  
Domain Specific ◽  
Artificial Language Learning ◽  
French And English

AbstractIn an artificial language-learning task, two groups of English and French participants learned one of two language rules: 1) stress the first heavy (CVC) syllable, else the first syllable, or, 2) stress the first light (CV) syllable, else the first syllable. French and English participants were chosen to compare learning outcomes by speakers of different native stress systems, fixed and variable. Participants were trained on the target language by listening to a set of nonsense familiarization words exemplifying the stress rule. This was followed by a forced-choice task to choose the correct version of the words they had just learned. Following the training procedure, participants were tested on novel words with the same stress pattern to which they were familiarized. The result of the novel word testing was that the natural rule with stress on heavy syllables was learned significantly better than the unnatural, stress light syllables, rule. To account for the learnability of both the natural and the unnatural rules, I argue for the interaction of a general cognitive mechanism that facilitates learning in general and a domain-specific language mechanism that can access universal phonological principles to aid in learning a natural language rule.

Attention and word learning in toddlers who are late talkers

2015 ◽  
Vol 43 (5) ◽  
pp. 1020-1037 ◽  
Author(s):  
MICHELLE MACROY-HIGGINS ◽  
ELIZABETH A. MONTEMARANO
Keyword(s):  
Language Development ◽  
Word Learning ◽  
Learning Task ◽  
Attention Allocation ◽  
The Novel ◽  
Typically Developing ◽  
Auditory Comprehension ◽  
Late Talkers ◽  
Novel Words

AbstractThe purpose of this study was to examine attention allocation in toddlers who were late talkers and toddlers with typical language development while they were engaged in a word-learning task in order to determine if differences exist. Two-year-olds who were late talkers (11) and typically developing toddlers (11) were taught twelve novel pseudo-words for unfamiliar objects over ten training sessions. The toddlers' attention allocation during the word-learning sessions was measured as well as their comprehension of the newly learned words. Late talkers showed reduced attention allocation to objects during word-training sessions, and also comprehended fewer of the novel words than toddlers with typical language development. Attention allocation was found to be a stronger predictor of word learning as compared to cognition and auditory comprehension. Reduced attention allocation may contribute to the early lexical delay characteristic in late talkers.

scholarly journals What drives individual differences in statistical learning? The role of perceptual fluency and familiarity

2018 ◽  
Author(s):  
Amy Perfors ◽  
Evan Kidd
Keyword(s):  
Individual Differences ◽  
Statistical Learning ◽  
Learning Task ◽  
Perceptual Fluency ◽  
Learning Performance ◽  
Visual Modality ◽  
Learning Skills ◽  
Domain Specific ◽  
Different Levels

Humans have the ability to learn surprisingly complicated statistical information in a variety of modalities and situations, often based on relatively little input. These statistical learning (SL) skills appear to underlie many kinds of learning, but despite their ubiquity, we still do not fully understand precisely what SL is and what individual differences on SL tasks reflect. Here we present experimental work suggesting that at least some individual differences arise from variation in perceptual fluency — the ability to rapidly or efficiently code and remember the stimuli that statistical learning occurs over. We show that performance on a standard SL task varies substantially within the same (visual) modality as a function of whether the stimuli involved are familiar or not, independent of stimulus complexity. Moreover, we find that test-retest correlations of performance in a statistical learning task using stimuli of the same level of familiarity (but distinct items) are stronger than correlations across the same task with different levels of familiarity. Finally, we demonstrate that statistical learning performance is predicted by an independent measure of stimulus-specific perceptual fluency which contains no statistical learning component at all. Our results suggest that a key component of SL performance may be unrelated to either domain-specific statistical learning skills or modality-specific perceptual processing.

Frequencies in Perception and Production Differentially Affect Child Speech

2018 ◽  
Vol 61 (12) ◽  
pp. 2854-2868 ◽  
Author(s):  
Peter T. Richtsmeier ◽  
Amanda K. Good
Keyword(s):  
Learning Task ◽  
Test Block ◽  
Future Research ◽  
Typically Developing ◽  
Input Frequency ◽  
Talker Variability ◽  
Production Practice ◽  
Carry Over ◽  
Novel Word Learning ◽  
Production Accuracy

Purpose Frequent sounds and frequent words are both acquired at an earlier age and are produced by children more accurately. Recent research suggests that frequency is not always a facilitative concept, however. Interactions between input frequency in perception and practice frequency in production may limit or inhibit growth. In this study, we consider how a range of input frequencies affect production accuracy and referent identification. Method Thirty-three typically developing 3- and 4-year-olds participated in a novel word-learning task. In the initial test block, participants heard nonwords 1, 3, 6, or 10 times—produced either by a single talker or by multiple talkers—and then produced them immediately. In a posttest, participants heard all nonwords just once and then produced them. Referent identification was probed in between the test and posttest. Results Production accuracy was most clearly facilitated by an input frequency of 3 during the test block. Input frequency interacted with production practice, and the facilitative effect of input frequency did not carry over to the posttest. Talker variability did not affect accuracy, regardless of input frequency. The referent identification results did not favor talker variability or a particular input frequency value, but participants were able to learn the words at better than chance levels. Conclusions The results confirm that the input can be facilitative, but input frequency and production practice interact in ways that limit input-based learning, and more input is not always better. Future research on this interaction may allow clinicians to optimize various types of frequency commonly used during therapy.

scholarly journals Online incidental statistical learning of audiovisual word sequences in adults: a registered report

2018 ◽  
Vol 5 (2) ◽  
pp. 171678 ◽  
Author(s):  
Sengottuvel Kuppuraj ◽  
Mihaela Duta ◽  
Paul Thompson ◽  
Dorothy Bishop
Keyword(s):  
Language Learning ◽  
Statistical Learning ◽  
Short Term Memory ◽  
Reaction Time Data ◽  
Learning Task ◽  
Two Dimensions ◽  
Learning Ability ◽  
Time Data ◽  
Novel Approach ◽  
Continuous Stream

Statistical learning has been proposed as a key mechanism in language learning. Our main goal was to examine whether adults are capable of simultaneously extracting statistical dependencies in a task where stimuli include a range of structures amenable to statistical learning within a single paradigm. We devised an online statistical learning task using real word auditory–picture sequences that vary in two dimensions: (i) predictability and (ii) adjacency of dependent elements. This task was followed by an offline recall task to probe learning of each sequence type. We registered three hypotheses with specific predictions. First, adults would extract regular patterns from continuous stream (effect of grammaticality). Second, within grammatical conditions, they would show differential speeding up for each condition as a factor of statistical complexity of the condition and exposure. Third, our novel approach to measure online statistical learning would be reliable in showing individual differences in statistical learning ability. Further, we explored the relation between statistical learning and a measure of verbal short-term memory (STM). Forty-two participants were tested and retested after an interval of at least 3 days on our novel statistical learning task. We analysed the reaction time data using a novel regression discontinuity approach. Consistent with prediction, participants showed a grammaticality effect, agreeing with the predicted order of difficulty for learning different statistical structures. Furthermore, a learning index from the task showed acceptable test–retest reliability ( r  = 0.67). However, STM did not correlate with statistical learning. We discuss the findings noting the benefits of online measures in tracking the learning process.

scholarly journals Reducing Test Bias Through Dynamic Assessment of Children's Word Learning Ability

2001 ◽  
Vol 10 (2) ◽  
pp. 138-154 ◽  
Author(s):  
Elizabeth Peña ◽  
Aquiles Iglesias ◽  
Carol S. Lidz
Keyword(s):  
Word Learning ◽  
Language Disorder ◽  
Learning Experience ◽  
Dynamic Assessment ◽  
Learning Task ◽  
Language Ability ◽  
Learning Ability ◽  
Mediated Learning ◽  
Typically Developing ◽  
Single Word

This study examined the performance of preschool children from culturally and linguistically diverse backgrounds, both typically developing and with low language ability, on a word-learning task. A pretest-teach-posttest method was used to compare a mediation group to a no-mediation group. Children in the mediation group were taught naming strategies using mediated learning experience (MLE). Results indicated that typically developing and low language ability children were differentiated on the basis of pretest-posttest change and that dynamic measures (e.g., posttest scores of single-word labeling and modifiability ratings from the mediation sessions) predicted the ability groups better than static measures (e.g., pretest scores of single-word labeling, description, and academic concepts). These results suggest that dynamic assessment approaches may effectively differentiate language difference from language disorder.

scholarly journals Integrating When and What Information in the Left Parietal Lobe Allows Language Rule Generalization

2019 ◽  
Author(s):  
J Orpella ◽  
P Ripollés ◽  
M Ruzzoli ◽  
JL Amengual ◽  
A Callejas ◽  
...  
Keyword(s):  
Statistical Learning ◽  
Incidental Learning ◽  
Parietal Lobe ◽  
Rule Learning ◽  
Learning Task ◽  
Learning Performance ◽  
Directed Attention ◽  
Linguistic Rules ◽  
Abstract Rule ◽  
Statistical Relationships

AbstractA crucial aspect when learning a language is discovering the rules that govern how words are combined in order to convey meanings. Since rules are characterized by sequential co-occurrences between elements (e.g. ‘These cupcakes are unbelievable’), tracking the statistical relationships between these elements is fundamental. However, statistical learning alone cannot fully account for the ability to create abstract rule representations that can be generalized, a paramount requirement of linguistic rules. Here, we provide evidence that, after the statistical relations between words have been extracted, the engagement of goal-directed attention is key to enable rule generalization. Incidental learning performance during a rule-learning task on an artificial language revealed a progressive shift from statistical learning to goal-directed attention. In addition, and consistent with the recruitment of attention, fMRI analyses of late learning stages showed left parietal activity within a broad bilateral dorsal fronto-parietal network. Critically, rTMS on participants’ peak of activation within the left parietal cortex impaired their ability to generalize learned rules to a structurally analogous new language. No stimulation or rTMS on a non-relevant brain region did not have the same interfering effect on generalization. Performance on an additional attentional task showed that rTMS on the same parietal site hindered participants’ ability to integrate what (stimulus identity) and when (stimulus timing) information about an expected target. The present findings suggest that learning rules from speech is a two-stage process: following statistical learning, goal-directed attention –involving left parietal regions– integrates what and when stimulus information to facilitate rapid rule generalization.

scholarly journals How statistical learning interacts with the socioeconomic environment to shape children’s language development

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0244954
Author(s):  
Leyla Eghbalzad ◽  
Joanne A. Deocampo ◽  
Christopher M. Conway
Keyword(s):  
Socioeconomic Status ◽  
Language Development ◽  
Statistical Learning ◽  
Event Related Potentials ◽  
Learning Task ◽  
Learning Ability ◽  
Learning Performance ◽  
Learning Abilities ◽  
Related Potentials ◽  
Social Environmental

Language is acquired in part through statistical learning abilities that encode environmental regularities. Language development is also heavily influenced by social environmental factors such as socioeconomic status. However, it is unknown to what extent statistical learning interacts with SES to affect language outcomes. We measured event-related potentials in 26 children aged 8–12 while they performed a visual statistical learning task. Regression analyses indicated that children’s learning performance moderated the relationship between socioeconomic status and both syntactic and vocabulary language comprehension scores. For children demonstrating high learning, socioeconomic status had a weaker effect on language compared to children showing low learning. These results suggest that high statistical learning ability can provide a buffer against the disadvantages associated with being raised in a lower socioeconomic status household.

scholarly journals Integrating when and what information in the left parietal lobe allows language rule generalization

PLoS Biology ◽  
2020 ◽  
Vol 18 (11) ◽  
pp. e3000895
Author(s):  
Joan Orpella ◽  
Pablo Ripollés ◽  
Manuela Ruzzoli ◽  
Julià L. Amengual ◽  
Alicia Callejas ◽  
...  
Keyword(s):  
Statistical Learning ◽  
Incidental Learning ◽  
Parietal Lobe ◽  
Repetitive Transcranial Magnetic Stimulation ◽  
Rule Learning ◽  
Learning Task ◽  
Learning Performance ◽  
Directed Attention ◽  
Frontoparietal Network ◽  
Linguistic Rules

A crucial aspect when learning a language is discovering the rules that govern how words are combined in order to convey meanings. Because rules are characterized by sequential co-occurrences between elements (e.g., “These cupcakes are unbelievable”), tracking the statistical relationships between these elements is fundamental. However, purely bottom-up statistical learning alone cannot fully account for the ability to create abstract rule representations that can be generalized, a paramount requirement of linguistic rules. Here, we provide evidence that, after the statistical relations between words have been extracted, the engagement of goal-directed attention is key to enable rule generalization. Incidental learning performance during a rule-learning task on an artificial language revealed a progressive shift from statistical learning to goal-directed attention. In addition, and consistent with the recruitment of attention, functional MRI (fMRI) analyses of late learning stages showed left parietal activity within a broad bilateral dorsal frontoparietal network. Critically, repetitive transcranial magnetic stimulation (rTMS) on participants’ peak of activation within the left parietal cortex impaired their ability to generalize learned rules to a structurally analogous new language. No stimulation or rTMS on a nonrelevant brain region did not have the same interfering effect on generalization. Performance on an additional attentional task showed that this rTMS on the parietal site hindered participants’ ability to integrate “what” (stimulus identity) and “when” (stimulus timing) information about an expected target. The present findings suggest that learning rules from speech is a two-stage process: following statistical learning, goal-directed attention—involving left parietal regions—integrates “what” and “when” stimulus information to facilitate rapid rule generalization.

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