The DOI matches its Crossref record.
The subjective estimation of relative word frequency
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College students can estimate, with a high correlation to actual counts, the frequency of English words.
“and can also estimate, with a high correlation to actual counts, the frequencyof English words (Shapiro, 1969), of single letters (Attneave, 1953), and even of pairs of letters (Underwood, 1971).”
From FREQUENCY EFFECTS IN LANGUAGE PROCESSING: A Review with Implications for Theories of Implicit and Explicit Language Acquisition (2002) · cites this paper as Shapiro, 1969
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 5
- Attneave, 1953, Psychological probability as a function of experienced frequency, J. exp. Psychol., 46, 81, 10.1037/h0057955 · DOI · Paper page
- Ekman, 1959, Weber's law and related functions, J. Psychol., 47, 343, 10.1080/00223980.1959.9916336 · DOI
- Howes, 1954, On the interpretation of word frequency as a variable affecting the speed of recognition, J. exp. Psychol., 48, 106, 10.1037/h0059478 · DOI
- Stevens, 1966, A metric for the social consensus, Science, 151, 530, 10.1126/science.151.3710.530 · DOI
- Stevens, 1957, Ratio scales and category scales for a dozen perceptual continua, J. exp. Psychol., 54, 377, 10.1037/h0043680 · DOI
Cited by
Sorted by citations
Ellis, N. C. (2002) · Studies in Second Language Acquisition · doi:10.1017/s0272263102002024 · Cited by 2,230
Frequency and the conference of referential validity
Hasher, L., Goldstein, D., & Toppino, T. (1977) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(77)80012-1 · Cited by 920
Metadata
- Authors
- Shapiro, B. J.
- Venue
- Journal of Verbal Learning and Verbal Behavior
- Publisher
- Elsevier BV
- Published
- 1969-04
- Volume
- 8
- Issue
- 2
- Pages
- 248-251
- ISSN
- 0022-5371
- Cited by
- 49
- References
- 0
- Language
- en
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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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