The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Speech segmentation by statistical learning depends on attention
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Citations
Cites
Statistical learning by 8-month-old infants
Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996) · Science · doi:10.1126/science.274.5294.1926 · Cited by 5,659
Snodgrass, J. G., & Vanderwart, M. (1980) · Journal of Experimental Psychology Human Learning & Memory · doi:10.1037//0278-7393.6.2.174 · Cited by 5,615
Perceptual load as a necessary condition for selective attention.
Nilli Lavie, C. (1995) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.21.3.451 · Cited by 2,013
Parasuraman, R., & DAVIES, D. R. (1984) · Academic Press eBooks · Cited by 1,566
Kornblum, S. (1973) · Academic Press eBooks · Cited by 1,418
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
Infant sensitivity to distributional information can affect phonetic discrimination
Maye, J., Werker, J. F., & Gerken, L. (2002) · Cognition · doi:10.1016/s0010-0277(01)00157-3 · Cited by 1,364
Kuhl, P. K., Tsao, F.-M., & Liu, H.-M. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1532872100 · Cited by 1,237
Variability and Detection of Invariant Structure
Gómez, R. L. (2002) · Psychological Science · doi:10.1111/1467-9280.00476 · Cited by 840
Learning at a distance I. Statistical learning of non-adjacent dependencies
Newport, E. L., & Aslin, R. N. (2004) · Cognitive Psychology · doi:10.1016/s0010-0285(03)00128-2 · Cited by 807
Cited by
Implicit learning and statistical learning: one phenomenon, two approaches
Perruchet, P., & Pacton, S. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.03.006 · Cited by 830
Speech recognition in adverse conditions: A review.
Mattys, S. L., Davis, M. H., Bradlow, A. R., & Scott, S. K. (2012) · Language and Cognitive Processes · doi:10.1080/01690965.2012.705006 · Cited by 809
A Bayesian framework for word segmentation: Exploring the effects of context
Goldwater, S., Griffiths, T. L., & Johnson, M. (2009) · Cognition · doi:10.1016/j.cognition.2009.03.008 · Cited by 431
Conway, C. M. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.01.032 · Cited by 282
Statistical Learning Is Related to Reading Ability in Children and Adults
Arciuli, J., & Simpson, I. C. (2012) · Cognitive Science · doi:10.1111/j.1551-6709.2011.01200.x · Cited by 275
Metadata
- Authors
- Toro, J. M., Sinnett, S., & Soto-Faraco, S.
- Venue
- Cognition
- Publisher
- Elsevier BV
- Published
- 2005-09
- Volume
- 97
- Issue
- 2
- Pages
- B25-B34
- ISSN
- 0010-0277 (ISSN-L)
- OpenAlex
- W1994960488
- Cited by
- 296
- References
- 33
- FWCI
- 8.75
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Speech segmentation by statistical learning depends on attention. https://app.cochat.ai/papers/10.1016/j.cognition.2005.01.006
- The paper
- Toro, J. M., Sinnett, S., & Soto-Faraco, S. (2005). Speech segmentation by statistical learning depends on attention. Cognition. https://doi.org/10.1016/j.cognition.2005.01.006
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
