The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Fast Mapping but Poor Retention by 24‐Month‐Old Infants
Open accessAbstract
Four experiments explored the processes that bridge between referent selection and word learning. Twenty‐four‐month‐old infants were presented with several novel names during a referent selection task that included both familiar and novel objects and tested for retention after a 5‐min delay. The 5‐min delay ensured that word learning was based on retrieval from long‐term memory. Moreover, the relative familiarity of objects used during the retention test was explicitly controlled. Across experiments, infants were excellent at referent selection, but very poor at retention. Although the highly controlled retention test was clearly challenging, infants were able to demonstrate retention of the first 4 novel names presented in the session when referent selection was augmented with ostensive naming. These results suggest that fast mapping is robust for reference selection but might be more transient than previously reported for lexical retention. The relations between reference selection and retention are discussed in terms of competitive processes on 2 timescales: competition among objects on individual referent selection trials and competition among multiple novel name–object mappings made across an experimental session.
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
Constructing a language: a usage-based theory of language acquisition
(2003) · Choice Reviews Online · doi:10.5860/choice.41-1385 · Cited by 4,458
Variability in Early Communicative Development
Fenson, L., Dale, P. S., Reznick, J. S., Bates, E., Thal, D. J., Pethick, S. J., Tomasello, M., Mervis, C. B., & Stiles, J. (1994) · Monographs of the Society for Research in Child Development · doi:10.2307/1166093 · Cited by 2,790
Linguistic theory and psychological reality
Berman, R. A. (1979) · Lingua · doi:10.1016/0024-3841(79)90058-5 · Cited by 1,349
Concepts and Conceptual Development: Ecological and Intellectual Factors in Categorization
Neisser, U. (1989) · Medical Entomology and Zoology · Cited by 1,206
Carey, S. E., & Bartlett, E. J. (1978) · Cited by 1,065
Carey, S. E. (1978) · Medical Entomology and Zoology · Cited by 670
Constructing a Language: A Usage-Based Theory of Language Acquisition
Tomasello, M. (2003) · Cited by 622
Acquisition of word-object associations by 14-month-old infants.
Werker, J. F., Cohen, L. B., Lloyd, V. L., Casasola, M., & Stager, C. L. (1998) · Developmental Psychology · doi:10.1037//0012-1649.34.6.1289 · Cited by 574
The role of exposure to isolated words in early vocabulary development
Brent, M. R., & Siskind, J. M. (2001) · Cognition · doi:10.1016/s0010-0277(01)00122-6 · Cited by 542
Young children and adults use lexical principles to learn new nouns.
Golinkoff, R. M., Hirsh-Pasek, K., Bailey, L. M., & Wenger, N. R. (1992) · Developmental Psychology · doi:10.1037//0012-1649.28.1.99 · Cited by 400
Cited by
Building machines that learn and think like people
Lake, B. M., Ullman, T. D., Tenenbaum, J. B., & Gershman, S. J. (2017) · Behavioral and Brain Sciences · doi:10.1017/s0140525x16001837 · Cited by 2,550
Horst, J. S., & Hout, M. C. (2016) · Behavior Research Methods · doi:10.3758/s13428-015-0647-3 · Cited by 331
Self-citationHow language shapes the cultural inheritance of categories
Gelman, S. A., & Roberts, S. O. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1621073114 · Cited by 200
An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames
Rohlfing, K. J., Wrede, B., Vollmer, A.-L., & Oudeyer, P.-Y. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00470 · Cited by 113
What does it take to learn a word?
Samuelson, L. K., & McMurray, B. (2017) · WIREs Cognitive Science · doi:10.1002/wcs.1421 · Cited by 110
Self-citation
Metadata
- Authors
- Horst, J. S., & Samuelson, L. K.
- Venue
- Infancy
- Publisher
- Wiley
- Published
- 2008-03-04
- Volume
- 13
- Issue
- 2
- Pages
- 128-157
- ISSN
- 1525-0008 (ISSN-L)
- 1532-7078
- OpenAlex
- W2125837823
- Cited by
- 428
- References
- 41
- FWCI
- 22.08
- 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: Fast Mapping but Poor Retention by 24‐Month‐Old Infants. https://app.cochat.ai/papers/10.1080/15250000701795598
- The paper
- Horst, J. S., & Samuelson, L. K. (2008). Fast Mapping but Poor Retention by 24‐Month‐Old Infants. Infancy. https://doi.org/10.1080/15250000701795598
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.