The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Learning New Words: Phonotactic Probability in Language Development
Open accessAbstract
Though the influences of syntactic and semantic regularity on novel word learning are well documented, considerably less is known about the influence of phono-logical regularities on lexical acquisition. The influence of phonotactic probability, a measure of the likelihood of occurrence of a sound sequence, on novel word learning is investigated in this study. Thirty-four typically developing children (from ages 3 years 2 months to 6 years 3 months) participated in a multitrial word-learning task involving nonwords of varying phonotactic probability (common vs. rare) paired with unfamiliar object referents. Form and referent learning were tested following increasing numbers of exposures (1 vs. 4 vs. 7) and following a 1-week delay. Correct responses were analyzed to determine whether phonotactic probability affected rate of word learning, and incorrect responses were analyzed to examine whether phonotactic probability affected the formation of semantic representations, lexical representations, or the association between semantic and lexical representations. Results indicated that common sound sequences were learned more rapidly than rare sound sequences across form and referent learning. In addition, phonotactic probability appeared to nfluence the formation of semantic representations and the association between semantic and lexical representations. These results are integrated with previous findings and theoretical models of language acquisition.
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
Statistical power analysis for the behavioral sciences
(1990) · Computers, Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,269
Statistical Power Analysis for the Behavioral Sciences (2nd ed.).
Lachenbruch, P. A., & Cohen, J. (1989) · Journal of the American Statistical Association · doi:10.2307/2290095 · Cited by 37,395
(1967) · Medical Entomology and Zoology · Cited by 7,532
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
Recognition-by-components: A theory of human image understanding.
Biederman, I. (1987) · Psychological Review · doi:10.1037/0033-295x.94.2.115 · Cited by 5,621
A capacity theory of comprehension: individual differences in working memory
Just, M. A., & Carpenter, P. A. (1992) · Psychological Review · doi:10.1037/0033-295x.99.1.122 · Cited by 4,153
(2002) · Foundations of Cognitive Psychology · doi:10.7551/mitpress/3080.003.0017 · Cited by 3,953
Rosch, E., & Lloyd, B. B. (2024) · Routledge eBooks · doi:10.4324/9781032633275 · Cited by 2,829
Exploring the Central Executive
Baddeley, A. (1996) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/713755608 · Cited by 2,390
Cognitive Development and Acquisition of Language
(1973) · Elsevier eBooks · doi:10.1016/c2009-0-22101-5 · Cited by 2,193
Cited by
Pianta, R. C., & Hamre, B. K. (2009) · Educational Researcher · doi:10.3102/0013189x09332374 · Cited by 1,331
Lexical configuration and lexical engagement: When adults learn new words
LEACH, L., & SAMUEL, A. (2007) · Cognitive Psychology · doi:10.1016/j.cogpsych.2007.01.001 · Cited by 260
Consolidation of vocabulary is associated with sleep in children
Henderson, L. M., Weighall, A. R., Brown, H., & Gareth Gaskell, M. (2012) · Developmental Science · doi:10.1111/j.1467-7687.2012.01172.x · Cited by 149
Brown, H., Weighall, A., Henderson, L. M., & Gareth Gaskell, M. (2012) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2011.11.010 · Cited by 52
Ferman, S., Olshtain, E., Schechtman, E., & Karni, A. (2009) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2008.12.002 · Cited by 51
Metadata
- Authors
- Storkel, H. L.
- Venue
- Journal of Speech, Language, and Hearing Research
- Published
- 2001-12
- Volume
- 44
- Issue
- 6
- Pages
- 1321-1337
- ISSN
- 1092-4388 (ISSN-L)
- 1558-9102
- DOI
- 10.1044/1092-4388(2001/103
- OpenAlex
- W2083804014
- Cited by
- 441
- References
- 69
- FWCI
- 15.94
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Learning New Words: Phonotactic Probability in Language Development. https://app.cochat.ai/papers/10.1044/1092-4388(2001/103
- The paper
- Storkel, H. L. (2001). Learning New Words: Phonotactic Probability in Language Development. Journal of Speech, Language, and Hearing Research. https://doi.org/10.1044/1092-4388(2001/103
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.