The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.
Language acquisition in the absence of explicit negative evidence: how important is starting small?
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Citations
Cites
Learning Internal Representations by Error Propagation
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1985) · doi:10.21236/ada164453 · Cited by 16,172
Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations
Rumelhart, D. E., McClelland, J. L., & AU (1986) · doi:10.7551/mitpress/5236.001.0001 · Cited by 15,686
Elman, J. L. (1990) · Cognitive Science · doi:10.1207/s15516709cog1402_1 · Cited by 11,212
Introduction to automata theory, languages and computation
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Self-Organization and Associative Memory
Kohonen, T. (1989) · Springer Series in Information Sciences · doi:10.1007/978-3-642-88163-3 · Cited by 8,740
Learning long-term dependencies with gradient descent is difficult
Bengio, Y., Simard, P., & Frasconi, P. (1994) · IEEE Transactions on Neural Networks · doi:10.1109/72.279181 · Cited by 8,542
Lectures on Government and Binding: The Pisa Lectures
Chomsky, N. (1993) · Mouton eBooks · doi:10.1515/9783110884166 · Cited by 8,541
Chomsky, N. (1957) · doi:10.1515/9783112316009 · Cited by 7,885
McClelland, J. L., McNaughton, B. L., & O'Reilly, R. C. (1995) · Psychological Review · doi:10.1037/0033-295x.102.3.419 · Cited by 5,256
Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
McCloskey, M., & Cohen, N. J. (1989) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(08)60536-8 · Cited by 3,770
Cited by
Bengio, Y., Louradour, J., Collobert, R., & Weston, J. (2009) · Proceedings of the 26th Annual International Conference on Machine Learning · doi:10.1145/1553374.1553380 · Cited by 5,366
Chang, F., Dell, G. S., & Bock, K. (2006) · Psychological Review · doi:10.1037/0033-295x.113.2.234 · Cited by 984
A Survey on Curriculum Learning
Wang, X., Chen, Y., & Zhu, W. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3069908 · Cited by 692
The neural architecture of language: Integrative modeling converges on predictive processing
Schrimpf, M., Blank, I. A., Tuckute, G., Kauf, C., Hosseini, E. A., Kanwisher, N., Tenenbaum, J. B., & Fedorenko, E. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2105646118 · Cited by 517
Consequences of the Serial Nature of Linguistic Input for Sentenial Complexity
Grodner, D., & Gibson, E. (2005) · Cognitive Science · doi:10.1207/s15516709cog0000_7 · Cited by 455
Metadata
- Authors
- Rohde, D. L. T., & Plaut, D. C.
- Venue
- Cognition
- Publisher
- Elsevier BV
- Published
- 1999-08
- Volume
- 72
- Issue
- 1
- Pages
- 67-109
- ISSN
- 0010-0277 (ISSN-L)
- OpenAlex
- W1965511524
- Cited by
- 274
- References
- 79
- FWCI
- 23.59
- 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.
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- CoChat. (2026). Citation check: Language acquisition in the absence of explicit negative evidence: how important is starting small? https://app.cochat.ai/papers/10.1016/s0010-0277(99)00031-1
- The paper
- Rohde, D. L. T., & Plaut, D. C. (1999). Language acquisition in the absence of explicit negative evidence: how important is starting small? Cognition. https://doi.org/10.1016/s0010-0277(99)00031-1
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.
