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SCALa: A blueprint for computational models of language acquisition in social context
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.inria.fr/hal-03373586 ; Cognition, Elsevier, 2021, 213, pp.104779. ⟨10.1016/j.cognition.2021.104779⟩ (2021)
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| 2 |
The Role of Working Memory in Statistical Word Learning ...
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Li, Ye. - : Open Science Framework, 2021
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Speaker reliability effect on adult cross-situational word learning ...
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Statistical word learning in Catalan-Spanish and English-speaking children with and without developmental language disorder
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Measuring (online) word segmentation in adults and children
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In: Dutch Journal of Applied Linguistics, Vol 10 (2021) (2021)
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Adjacent and Non-Adjacent Word Contexts Both Predict Age of Acquisition of English Words: A Distributional Corpus Analysis of Child-Directed Speech.
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In: Cognitive science, vol 44, iss 11 (2020)
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| 7 |
The learnability consequences of Zipfian distributions: Word Segmentation is Facilitated in More Predictable Distributions ...
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The learnability consequences of Zipfian distributions: Word Segmentation is Facilitated in More Predictable Distributions ...
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Not all words are equally acquired: transitional probabilities and instructions affect the electrophysiological correlates of statistical learning
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Abstract:
Statistical learning (SL), the process of extracting regularities from the environment, is a fundamental skill of our cognitive system to structure the world regularly and predictably. SL has been studied using mainly behavioral tasks under implicit conditions and with triplets presenting the same level of difficulty, i.e., a mean transitional probability (TP) of 1.00. Yet, the neural mechanisms underlying SL under other learning conditions remain largely unknown. Here, we investigated the neurofunctional correlates of SL using triplets (i.e., three-syllable nonsense words) with a mean TP of 1.00 (easy "words") and 0.50 (hard "words") in an SL task performed under incidental (implicit) and intentional (explicit) conditions, to determine whether the same core mechanisms were recruited to assist learning. Event-related potentials (ERPs) were recorded while participants listened firstly to a continuous auditory stream made of the concatenation of four easy and four hard "words" under implicit instructions, and subsequently to another auditory stream made of the concatenation of four easy and four hard "words" drawn from another artificial language under explicit instructions. The stream in each of the SL tasks was presented in two consecutive blocks of ~3.5-min each (~7-min in total) to further examine how ERP components might change over time. Behavioral measures of SL were collected after the familiarization phase of each SL task by asking participants to perform a two-alternative forced-choice (2-AFC) task. Results from the 2-AFC tasks revealed a moderate but reliable level of SL, with no differences between conditions. ERPs were, nevertheless, sensitive to the effect of TPs, showing larger amplitudes of N400 for easy "words," as well as to the effect of instructions, with a reduced N250 for "words" presented under explicit conditions. Also, significant differences in the N100 were found as a result of the interaction between TPs, instructions, and the amount of exposure to the auditory stream. Taken together, our findings suggest that triplets' predictability impacts the emergence of "words" representations in the brain both for statistical regularities extracted under incidental and intentional instructions, although the prior knowledge of the "words" seems to favor the recruitment of different SL mechanisms. ; Psychology Research Centre (PSI/01662), University of Minho, and was supported by the Grant POCI-01-0145-FEDER-028212 from the Portuguese Foundation for Science and Technology and the Portuguese Ministry of Science, Technology and Higher Education through national funds, and co-financed by FEDER through COMPETE2020 under the PT2020 Partnership Agreement
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Keyword:
Artificial language; Ciências Sociais::Psicologia; Electrophysiological correlates; Explicit learning; Exposure time; Implicit learning; Science & Technology; Social Sciences; Statistical learning; Transitional probabilities; Word segmentation
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URL: https://doi.org/10.3389/fnhum.2020.577991
http://hdl.handle.net/1822/69631
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| 11 |
Segmentability Differences Between Child-Directed and Adult-Directed Speech: A Systematic Test With an Ecologically Valid Corpus
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In: EISSN: 2470-2986 ; Open Mind ; https://hal.archives-ouvertes.fr/hal-02274050 ; Open Mind, MIT Press, 2019, 3, pp.13-22. ⟨10.1162/opmi_a_00022⟩ (2019)
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| 12 |
How Accurately Do Infants Represent Lexical Stress Information in Recently Segmented Words?
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In: Masters Theses (2019)
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| 13 |
Neurophysiological Markers of Statistical Learning in Music and Language: Hierarchy, Entropy and Uncertainty
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In: Brain Sciences ; Volume 8 ; Issue 6 (2018)
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| 14 |
Auditory disruption improves word segmentation: A functional basis for lenition phenomena
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In: Glossa: a journal of general linguistics; Vol 3, No 1 (2018); 38 ; 2397-1835 (2018)
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Incorporating Memory Processes in the Study of Early Language Acquisition
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In: Doctoral Dissertations (2018)
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| 18 |
Understanding Patterns in Infant-Directed Speech in Context: An Investigation of Statistical Cues to Word Boundaries
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Word learning under infinite uncertainty - Simulation codes and sample output ...
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Unkn Unknown. - : University of Edinburgh. School of Physics and Astronomy. Institute for Condensed Matter and Complex Systems, 2016
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| 20 |
Isolated Words Selectively Enhance Memory for High Transitional Probability Sound Sequences
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In: Masters Theses (2016)
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