The DOI matches its Crossref record.
The Non-Anomalous Nature of Anomalous Utterances
Abstract
An analysis of speech errors provides evidence for the psychological reality of theoretical linguistic concepts such as distinctive features, morpheme structure constraints, abstract underlying forms, phonological rules, and syntactic and semantic features. Furthermore, such errors reveal that linguistic performance is highly rule-governed, and that in many cases it is grammatical rules which constrain or monitor actual speech production. While a model of linguistic competence is independent of temporal constraints, a model of linguistic performance must provide information as to the sequencing of events in real time. To explain the occurrence of particular kinds of errors, a specific ordering of rules is posited, which ordering may or may not coincide with the organization of a grammar.
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
A spreading-activation theory of retrieval in sentence production.
Dell, G. S. (1986) · Psychological Review · doi:10.1037//0033-295x.93.3.283 · Cited by 3,236
Computational neuroanatomy of speech production
Hickok, G. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3158 · Cited by 837
Customer service chatbots: Anthropomorphism and adoption
Sheehan, B., Jin, H. S., & Gottlieb, U. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.04.030 · Cited by 667
Disfluency Rates in Conversation: Effects of Age, Relationship, Topic, Role, and Gender
Bortfeld, H., Leon, S. D., Bloom, J. E., Schober, M. F., & Brennan, S. E. (2001) · Language and Speech · doi:10.1177/00238309010440020101 · Cited by 632
Jescheniak, J. D., & Levelt, W. J. M. (1994) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/0278-7393.20.4.824 · Cited by 443
Metadata
- Authors
- Fromkin, V. A.
- Venue
- Language
- Publisher
- JSTOR
- Published
- 1971-03
- Volume
- 47
- Issue
- 1
- Pages
- 27
- ISSN
- 0097-8507 (ISSN-L)
- OpenAlex
- W1993220683
- Cited by
- 1,221
- References
- 0
- FWCI
- 14.79
- Type
- journal article
- 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: The Non-Anomalous Nature of Anomalous Utterances. https://app.cochat.ai/papers/10.2307/412187
- The paper
- Fromkin, V. A. (1971). The Non-Anomalous Nature of Anomalous Utterances. Language. https://doi.org/10.2307/412187
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.