The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Semantic context effects in language production: A swinging lexical network proposal and a review
Open accessAbstract
The investigation of semantic context effects has served as a valuable tool in investigating mechanisms of language production. Classic semantic interference effects have provided influential support for and interest in a competitive lexical selection mechanism. However, recent interest in semantic facilitation effects has stimulated a discussion on whether context effects reflect competition during lexical selection. In this review we propose a framework of lexical selection by competition that is sensitive to the activation of lexical cohorts. We outline our proposal and then present a selective review of the empirical evidence, much of which has been central to the development of alternative non-competitive models. We suggest that by adopting the assumptions of our proposal we can parsimoniously account for a majority of the discussed semantic facilitation and interference effects.
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Cites
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Cited by
What did we learn from forty years of research on semantic interference? A Bayesian meta-analysis
Bürki, A., Elbuy, S., Madec, S., & Vasishth, S. (2020) · Journal of Memory and Language · doi:10.1016/j.jml.2020.104125 · Cited by 124
Strijkers, K., & Costa, A. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00356 · Cited by 106
Krieger-Redwood, K., & Jefferies, E. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.09.014 · Cited by 62
Metadata
- Authors
- Abdel Rahman, R., & Melinger, A.
- Venue
- Language and Cognitive Processes
- Publisher
- Informa UK Limited
- Published
- 2009-04-30
- Volume
- 24
- Issue
- 5
- Pages
- 713-734
- ISSN
- 0169-0965 (ISSN-L)
- 1464-0732
- OpenAlex
- W2142547048
- Cited by
- 257
- References
- 69
- FWCI
- 6.55
- Type
- journal article
- Language
- en
- Open access
- green
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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.
