The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Statistical Learning and Language: An Individual Differences Study
Abstract
Although statistical learning and language have been assumed to be intertwined, this theoretical presupposition has rarely been tested empirically. The present study investigates the relationship between statistical learning and language using a within‐subject design embedded in an individual‐differences framework. Participants were administered separate statistical learning tasks involving adjacent and nonadjacent dependencies, along with a language comprehension task and a battery of other measures assessing verbal working memory, short‐term memory, vocabulary, reading experience, cognitive motivation, and fluid intelligence. Strong interrelationships were found among statistical learning, verbal working memory, and language comprehension. However, when the effects of all other factors were controlled for, performance on the two statistical learning tasks was the only predictor for comprehending relevant types of natural language sentences.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cacioppo, J. T., & Petty, R. E. (1982) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.42.1.116 · Cited by 5,359
Ellis, N. C. (2002) · Studies in Second Language Acquisition · doi:10.1017/s0272263102002024 · Cited by 2,230
The phonological loop as a language learning device.
Baddeley, A., Gathercole, S., & Papagno, C. (1998) · Psychological Review · doi:10.1037/0033-295x.105.1.158 · Cited by 2,199
Sequencing in SLA: Phonological Memory, Chunking, and Points of Order
Ellis, N. C. (1996) · Studies in Second Language Acquisition · doi:10.1017/s0272263100014698 · Cited by 837
Friederici, A. D., Bahlmann, J., Heim, S., Schubotz, R. I., & Anwander, A. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0509389103 · Cited by 734
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
Statistical Language Learning: Mechanisms and Constraints
Saffran, J. R. (2003) · Current Directions in Psychological Science · doi:10.1111/1467-8721.01243 · Cited by 624
Cited by
A meta-analysis on the relation between reading and working memory
Peng, P., Barnes, M., Wang, C., Wang, W., Li, S., Swanson, H. L., Dardick, W., & Tao, S. (2018) · Psychological Bulletin · doi:10.1037/bul0000124 · Cited by 521
Implicit statistical learning is directly associated with the acquisition of syntax
Kidd, E. (2012) · Developmental Psychology · doi:10.1037/a0025405 · Cited by 310
Sherman, L. J., Rice, K., & Cassidy, J. (2015) · Developmental Review · doi:10.1016/j.dr.2015.06.001 · Cited by 102
All Together Now: Concurrent Learning of Multiple Structures in an Artificial Language
Romberg, A. R., & Saffran, J. R. (2013) · Cognitive Science · doi:10.1111/cogs.12050 · Cited by 77
THE CONTRIBUTIONS OF IMPLICIT-STATISTICAL LEARNING APTITUDE TO IMPLICIT SECOND-LANGUAGE KNOWLEDGE
Godfroid, A., & Kim, K. M. (2021) · Studies in Second Language Acquisition · doi:10.1017/s0272263121000085 · Cited by 51
Variability in the learning of complex morphophonology.
ETTLINGER, M., BRADLOW, A. R., & WONG, P. C. M. (2014) · Applied Psycholinguistics · doi:10.1017/s0142716412000586 · Cited by 47
GRANENA, G. (2016) · Applied Psycholinguistics · doi:10.1017/s0142716415000120 · Cited by 40
Li, S., & DeKeyser, R. (2021) · Studies in Second Language Acquisition · doi:10.1017/s0272263121000024 · Cited by 35
Improved statistical learning abilities in adult bilinguals.
ONNIS, L., CHUN, W. E., & LOU-MAGNUSON, M. (2018) · Bilingualism: Language and Cognition · doi:10.1017/s1366728917000529 · Cited by 31
Granena, G. (2020) · doi:10.1017/9781108625616 · Cited by 27
Metadata
- Authors
- Misyak, J. B., & Christiansen, M. H.
- Venue
- Language Learning
- Publisher
- Wiley
- Published
- 2011-02-07
- Volume
- 62
- Issue
- 1
- Pages
- 302-331
- ISSN
- 0023-8333 (ISSN-L)
- 1467-9922
- OpenAlex
- W1576067926
- Cited by
- 315
- References
- 7
- FWCI
- 6.63
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.