The DOI matches its Crossref record.
Access to the Internal Lexicon
Abstract
In order to understand how a word is read for meaning, we need to know how a reader proceeds from the printed representation of a word to the word’s entry in the reader’s internal lexicon, where the word’s meaning is stored. This raises two principal questions: what is the code in which the word is represented when this process, lexical access, is being carried out, and what is the procedure by which this representation is used to find the word’s entry in the lexicon. The lexical-decision task is a suitable one for the investigation of these questions. Two experiments using this task are reported. In one, it was found that a letter string’s similarity to English words influenced the “no” response latency, but not the “yes” response latency, and it is argued that this result favors the view that lexical access is “direct,” rather than requiring search. The other experiment showed that a nonword’s phonological properties influenced the time taken to say “no” to it. Thus phonological encoding is occurring in these experiments. It remains to be shown, however, that this is any more than an epiphenomenon; neither these findings, nor those of previous investigators, compel us to abandon the view that skilled reading of single words proceeds solely by making use of visual representations of printed words.
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
Cited by
DRC: A dual route cascaded model of visual word recognition and reading aloud.
Coltheart, M., Rastle, K., Perry, C., Langdon, R., & Ziegler, J. (2001) · Psychological Review · doi:10.1037/0033-295x.108.1.204 · Cited by 4,500
Self-citationA distributed, developmental model of word recognition and naming.
Seidenberg, M. S., & McClelland, J. L. (1989) · Psychological Review · doi:10.1037/0033-295x.96.4.523 · Cited by 3,909
The nature of phonological processing and its causal role in the acquisition of reading skills
Wagner, R. K., & Torgesen, J. K. (1987) · Psychological Bulletin · doi:10.1037/0033-2909.101.2.192 · Cited by 3,303
The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks
Ratcliff, R., & McKoon, G. (2008) · Neural Computation · doi:10.1162/neco.2008.12-06-420 · Cited by 3,059
Balota, D. A., Yap, M. J., Hutchison, K. A., Cortese, M. J., Kessler, B., Loftis, B., Neely, J. H., Nelson, D. L., Simpson, G. B., & Treiman, R. (2007) · Behavior Research Methods · doi:10.3758/bf03193014 · Cited by 2,742
Metadata
- Authors
- Coltheart, M., Davelaar, E., Jonasson, J. T., & Besner, D.
- Venue
- Attention and Performance VI
- Publisher
- Routledge
- Published
- 2022-05-19
- Pages
- 535-555
- OpenAlex
- W1519165391
- Cited by
- 1,303
- References
- 0
- FWCI
- 43.58
- Type
- book chapter
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Access to the Internal Lexicon. https://app.cochat.ai/papers/10.4324/9781003309734-29
- The paper
- Coltheart, M., Davelaar, E., Jonasson, J. T., & Besner, D. (2022). Access to the Internal Lexicon. Attention and Performance VI. https://doi.org/10.4324/9781003309734-29
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.