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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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| 4 |
Statistical word learning in Catalan-Spanish and English-speaking children with and without developmental language disorder
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| 5 |
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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| 8 |
The learnability consequences of Zipfian distributions: Word Segmentation is Facilitated in More Predictable Distributions ...
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| 10 |
Not all words are equally acquired: transitional probabilities and instructions affect the electrophysiological correlates of statistical learning
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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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Abstract:
This paper presents evidence that spirantization, a cross-linguistically common lenition process, affects English listeners’ ease of segmenting novel “words” in an artificial language. The cross-linguistically common spirantization pattern of initial stops and medial continuants (e.g. [ɡuβa]) results in improved word segmentation compared to the inverse “anti-lenition” pattern of initial continuants and medial stops (e.g. [ɣuba]). The study also tests the effect of obstruent voicing, another common lenition pattern, but finds no significant differences in segmentation performance. There are several points of broader interest in these studies. Most of the phonetic factors influencing word segmentation in past studies have been language-specific and/or prosodic in nature: stress, intonation, final lengthening, etc. Spirantization, while often prosodically conditioned, is different from all of these patterns in that it concerns a segmental alternation. Moreover, the effects reported here are for speakers of a language, American English, that only sporadically displays spirantization, and not in the phonological contexts used in the experiment. This suggests that the results may reflect more general properties of speech perception and word boundary detection, rather than a perceptual processing strategy transferred directly from English. As such, the studies offer partial support for theories of lenition rooted in notions of perceptual-acoustic continuity and disruption.
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Keyword:
laboratory phonology; lenition; Linguistics; phonetics; phonology; spirantization; statistical learning; word segmentation
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URL: https://www.glossa-journal.org/jms/article/view/443
https://doi.org/10.5334/gjgl.443
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| 16 |
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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| 19 |
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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