The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Statistical Learning in Children With Specific Language Impairment
Open accessAbstract
Purpose: In this study, the authors examined (a) whether children with specific language impairment (SLI) can implicitly compute the probabilities of adjacent sound sequences, (b) if this ability is related to degree of exposure, (c) if it is domain specific or domain general and, (d) if it is related to vocabulary. Method: Children with SLI and normal language controls (ages 6;5–14;4 [years;months]) listened to 21 min of a language in which transitional probabilities within words were higher than those between words. In a second study, children with SLI and Age–Nonverbal IQ matched controls (8;0–10;11) listened to the same language for 42 min and to a second 42 min “tone” language containing the identical statistical structure as the “speech” language. Results: After 21 min, the SLI group’s performance was at chance, whereas performance for the control group was significantly greater than chance and significantly correlated with receptive and expressive vocabulary knowledge. In the 42-minute speech condition, the SLI group’s performance was significantly greater than chance and correlated with receptive vocabulary but was no different from chance in the analogous 42-minute tone condition. Performance for the control group was again significantly greater than chance in 42-minute speech and tone conditions. Conclusions: These findings suggest that poor implicit learning may underlie aspects of the language impairments in SLI.
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Memory and the hippocampus: A synthesis from findings with rats, monkeys, and humans.
Squire, L. R. (1992) · Psychological Review · doi:10.1037/0033-295x.99.2.195 · Cited by 5,376
Contributions of memory circuits to language: the declarative/procedural model
Ullman, M. T. (2004) · Cognition · doi:10.1016/j.cognition.2003.10.008 · Cited by 1,893
Rethinking Innateness: A Connectionist Perspective on Development
Elman, J., Bates, E., Johnson, M. H., Karmiloff-Smith, A., Parisi, D., & Plunkett, K. (1996) · doi:10.7551/mitpress/5929.001.0001 · Cited by 1,511
Word Segmentation: The Role of Distributional Cues
Saffran, J. R., Newport, E. L., & Aslin, R. N. (1996) · Journal of Memory and Language · doi:10.1006/jmla.1996.0032 · Cited by 1,405
Self-citationStructure and function of declarative and nondeclarative memory systems
Squire, L. R., & Zola, S. M. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.24.13515 · Cited by 1,327
Tallal, P., Miller, S. L., Bedi, G., Byma, G., Wang, X., Nagarajan, S. S., Schreiner, C., Jenkins, W. M., & Merzenich, M. M. (1996) · Science · doi:10.1126/science.271.5245.81 · Cited by 1,197
Visual statistical learning in infancy: evidence for a domain general learning mechanism
Kirkham, N. Z., Slemmer, J. A., & Johnson, S. P. (2002) · Cognition · doi:10.1016/s0010-0277(02)00004-5 · Cited by 1,072
Temporal Processing Deficits of Language-Learning Impaired Children Ameliorated by Training
Merzenich, M. M., Jenkins, W. M., Johnston, P., Schreiner, C., Miller, S. L., & Tallal, P. (1996) · Science · doi:10.1126/science.271.5245.77 · Cited by 1,000
Incidental Language Learning: Listening (and Learning) Out of the Corner of Your Ear
Saffran, J. R., Newport, E. L., Aslin, R. N., Tunick, R. A., & Barrueco, S. (1997) · Psychological Science · doi:10.1111/j.1467-9280.1997.tb00690.x · Cited by 675
Self-citationStatistical Language Learning: Mechanisms and Constraints
Saffran, J. R. (2003) · Current Directions in Psychological Science · doi:10.1111/1467-8721.01243 · Cited by 624
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Kidd, E., Donnelly, S., & Christiansen, M. H. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.11.006 · Cited by 507
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Conway, C. M., Bauernschmidt, A., Huang, S. S., & Pisoni, D. B. (2010) · Cognition · doi:10.1016/j.cognition.2009.10.009 · Cited by 340
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Metadata
- Authors
- Evans, J. L., Saffran, J. R., & Robe-Torres, K.
- Venue
- Journal of Speech, Language, and Hearing Research
- Published
- 2009-04
- Volume
- 52
- Issue
- 2
- Pages
- 321-335
- ISSN
- 1092-4388 (ISSN-L)
- 1558-9102
- DOI
- 10.1044/1092-4388(2009/07-0189
- OpenAlex
- W1989550390
- Cited by
- 471
- References
- 12
- FWCI
- 46.71
- Type
- journal article
- Language
- en
- Open access
- green
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