scholarly journals Rapid Statistical Learning Supporting Word Extraction From Continuous Speech

2017 ◽  
Vol 28 (7) ◽  
pp. 921-928 ◽  
Author(s):  
Laura J. Batterink
Keyword(s):  
Language Acquisition ◽  
Statistical Learning ◽  
Essential Role ◽  
Reaction Time Task ◽  
Speech Segmentation ◽  
Learning Effects ◽  
Continuous Speech ◽  
Statistical Structure ◽  
Early Step ◽  
On Line

The identification of words in continuous speech, known as speech segmentation, is a critical early step in language acquisition. This process is partially supported by statistical learning, the ability to extract patterns from the environment. Given that speech segmentation represents a potential bottleneck for language acquisition, patterns in speech may be extracted very rapidly, without extensive exposure. This hypothesis was examined by exposing participants to continuous speech streams composed of novel repeating nonsense words. Learning was measured on-line using a reaction time task. After merely one exposure to an embedded novel word, learners demonstrated significant learning effects, as revealed by faster responses to predictable than to unpredictable syllables. These results demonstrate that learners gained sensitivity to the statistical structure of unfamiliar speech on a very rapid timescale. This ability may play an essential role in early stages of language acquisition, allowing learners to rapidly identify word candidates and “break in” to an unfamiliar language.

scholarly journals Prelingual infants discover statistical word patterns at similar rates as adults: evidence from neural entrainment

2020 ◽  
Author(s):  
Dawoon Choi ◽  
Laura Batterink ◽  
Alexis K. Black ◽  
Ken Paller ◽  
Janet F. Werker
Keyword(s):  
Language Acquisition ◽  
Statistical Learning ◽  
Neural Mechanisms ◽  
Learning Effects ◽  
Learning Trajectories ◽  
Continuous Speech ◽  
Neural Entrainment ◽  
Perceptual Shift ◽  
Word Discrimination ◽  
Probability Information

The discovery of words in continuous speech is one of the first challenges faced by infants during language acquisition. This process is partially facilitated by statistical learning, the ability to discover and encode relevant patterns in the environment. Here, we used an EEG index of neural entrainment in 6-month-olds (n=25) to track their segmentation of words from continuous speech. Infants showed neural entrainment to embedded words that increased logarithmically over the learning period, consistent with a perceptual shift from isolated syllables to word-like units. Moreover, infants’ neural entrainment during learning predicted post-learning behavioural measures of word discrimination (n=18). Finally, the logarithmic increase in entrainment to words was comparable in infants and adults, suggesting that infants and adults follow similar learning trajectories when tracking probability information among speech sounds. Statistical learning effects in infants and adults may reflect overlapping neural mechanisms, which emerge early in life and are maintained throughout the lifespan.

scholarly journals Reinforced statistical learning of auditory categories

2020 ◽  
Author(s):  
Bob McMurray ◽  
Samantha Chiu
Keyword(s):  
Language Acquisition ◽  
Unsupervised Learning ◽  
Supervised Learning ◽  
Statistical Learning ◽  
Relevant Dimension ◽  
Learning Paradigm ◽  
Statistical Structure ◽  
Critical Step ◽  
Specific Category ◽  
L2 Learning

A critical step in language acquisition is learning phoneme categories. While L1 learning has been thought to use unsupervised learning (using the distributional statistics of cues), recent research raises the possibility of supervised learning (using teaching signals). Similarly, L2 learning is studied with supervised learning, but unsupervised may also contribute. We developed the reinforced statistical learning paradigm to examine their interaction. Participants first underwent unsupervised learning, hearing a series of non-linguistic sounds whose statistical structure reflected two categories. In subsequent supervised learning, categories either matched or mismatched. Supervised learning was faster when phases matched, though benefits were limited to specific category configurations. Unsupervised learning did not affect the steepness of categorization along the relevant dimension, but it helped subjects learn to ignore irrelevant dimensions. Unsupervised learning may set the stage for supervised learning, but its role may be to determine which dimensions are important, and not to directly acquire categories.

Rapid Serial Auditory Presentation

2015 ◽  
Vol 62 (5) ◽  
pp. 346-351 ◽  
Author(s):  
Ana Franco ◽  
Julia Eberlen ◽  
Arnaud Destrebecqz ◽  
Axel Cleeremans ◽  
Julie Bertels
Keyword(s):  
Statistical Learning ◽  
Reaction Times ◽  
Visual Presentation ◽  
Detection Task ◽  
Speech Segmentation ◽  
Auditory Presentation ◽  
Indirect Measure ◽  
Speech Stream ◽  
Adult Participants ◽  
Presentation Procedure

Abstract. The Rapid Serial Visual Presentation procedure is a method widely used in visual perception research. In this paper we propose an adaptation of this method which can be used with auditory material and enables assessment of statistical learning in speech segmentation. Adult participants were exposed to an artificial speech stream composed of statistically defined trisyllabic nonsense words. They were subsequently instructed to perform a detection task in a Rapid Serial Auditory Presentation (RSAP) stream in which they had to detect a syllable in a short speech stream. Results showed that reaction times varied as a function of the statistical predictability of the syllable: second and third syllables of each word were responded to faster than first syllables. This result suggests that the RSAP procedure provides a reliable and sensitive indirect measure of auditory statistical learning.

scholarly journals THE CONTRIBUTIONS OF IMPLICIT-STATISTICAL LEARNING APTITUDE TO IMPLICIT SECOND-LANGUAGE KNOWLEDGE

2021 ◽  
pp. 1-29
Author(s):  
Aline Godfroid ◽  
Kathy MinHye Kim
Keyword(s):  
Second Language ◽  
Reaction Time ◽  
Language Learning ◽  
Statistical Learning ◽  
Structural Equation ◽  
Reaction Time Task ◽  
Implicit Knowledge ◽  
Equation Modeling ◽  
Language Tests ◽  
Language Knowledge

Abstract This study addresses the role of domain-general mechanisms in second-language learning and knowledge using an individual differences approach. We examine the predictive validity of implicit-statistical learning aptitude for implicit second-language knowledge. Participants (n = 131) completed a battery of four aptitude measures and nine grammar tests. Structural equation modeling revealed that only the alternating serial reaction time task (a measure of implicit-statistical learning aptitude) significantly predicted learners’ performance on timed, accuracy-based language tests, but not their performance on reaction-time measures. These results inform ongoing debates about the nature of implicit knowledge in SLA: they lend support to the validity of timed, accuracy-based language tests as measures of implicit knowledge. Auditory and visual statistical learning were correlated with medium strength, while the remaining implicit-statistical learning aptitude measures were not correlated, highlighting the multicomponential nature of implicit-statistical learning aptitude and the corresponding need for a multitest approach to assess its different facets.

scholarly journals Dysfunctions in Infants’ Statistical Learning are Related to Parental Autistic Traits

2021 ◽  
Author(s):  
Bettoni Roberta ◽  
Valentina Riva ◽  
Chiara Cantiani ◽  
Elena Maria Riboldi ◽  
Massimo Molteni ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Social Skills ◽  
Statistical Learning ◽  
Crucial Role ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Statistical Structure ◽  
The Relationship ◽  
Visual Habituation

AbstractStatistical learning refers to the ability to extract the statistical relations embedded in a sequence, and it plays a crucial role in the development of communicative and social skills that are impacted in the Autism Spectrum Disorder (ASD). Here, we investigated the relationship between infants’ SL ability and autistic traits in their parents. Using a visual habituation task, we tested infant offspring of adults (non-diagnosed) who show high (HAT infants) versus low (LAT infants) autistic traits. Results demonstrated that LAT infants learned the statistical structure embedded in a visual sequence, while HAT infants failed. Moreover, infants’ SL ability was related to autistic traits in their parents, further suggesting that early dysfunctions in SL might contribute to variabilities in ASD symptoms.

Which came first: Infants learning language or motherese?

2004 ◽  
Vol 27 (4) ◽  
pp. 505-506 ◽  
Author(s):  
Heather Bortfeld
Keyword(s):  
Language Acquisition ◽  
Word Recognition ◽  
Language Learning ◽  
Learning Process ◽  
Building Blocks ◽  
Speech Segmentation ◽  
Learning Language

Although motherese may facilitate language acquisition, recent findings indicate that not all aspects of motherese are necessary for word recognition and speech segmentation, the building blocks of language learning. Rather, exposure to input that has prosodic, phonological, and statistical consistencies is sufficient to jump-start the learning process. In light of this, the infant-directedness of the input might be considered superfluous, at least insofar as language acquisition is concerned.

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