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Cited by 257

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

A Positron Emission Tomographic Study of Regular and Irregular Verb Morphology in English

Jaeger, Jeri J., Lockwood, Alan H., Kemmerer, David L., van Valin, Robert D., Murphy, Brian W., Khalak, Hanif G.·1996·Language

Abstract

Theories about the representation and processing of regular and irregular past tense forms of verbs in English have disagreed as to whether they should be treated as a unified phenomenon (e.g. both rule-governed, or both generated by a connectionist net), or as two distinct types of linguistic entities (e.g. regulars formed by rules of the grammar, irregulars stored in lexical memory). In this article we present data from a positron emission tomographic study in which subjects were asked to produce the past tense forms of regular, irregular, and nonce stems. We find very different amounts and areas of cortical activation in the regular and irregular tasks, as well as significantly different reaction times in producing the past tenses. We interpret our findings as supporting the grammar/lexicon theories, and discuss the implications of our results for general linguistic theory.

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Metadata

Authors
Jaeger, J. J., Lockwood, A. H., Kemmerer, D. L., van Valin, R. D., Murphy, B. W., & Khalak, H. G.
Venue
Language
Publisher
JSTOR
Published
1996-09
Volume
72
Issue
3
Pages
451
ISSN
0097-8507 (ISSN-L)
OpenAlex
W2037320790
Cited by
257
References
5
FWCI
11.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Positron Emission Tomographic Study of Regular and Irregular Verb Morphology in English. https://app.cochat.ai/papers/10.2307/416276
The paper
Jaeger, J. J., Lockwood, A. H., Kemmerer, D. L., van Valin, R. D., Murphy, B. W., & Khalak, H. G. (1996). A Positron Emission Tomographic Study of Regular and Irregular Verb Morphology in English. Language. https://doi.org/10.2307/416276

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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.