Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Language learning and innateness: some implications of Compounds Research.

Todd R Haskell1, Maryellen C MacDonald, Mark S Seidenberg

  • 1University of Southern California, USA.

Cognitive Psychology
|September 2, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cross-linguistic differences in incremental planning under uncertainty.

Cognition·2026
Same author

Lexico-syntactic constraints influence verbal working memory in sentence-like lists.

Memory & cognition·2023
Same author

Noun Sequence Statistics Affect Serial Recall and Order Recognition Memory.

Open mind : discoveries in cognitive science·2023
Same author

Utterance planning under message uncertainty: evidence from a novel picture-naming paradigm.

Cognitive, affective & behavioral neuroscience·2023
Same author

Repetition parallels in language and motor action: Evidence from tongue twisters and finger fumblers.

Journal of experimental psychology. General·2023
Same author

A computational model of language comprehension unites diverse perspectives.

Proceedings of the National Academy of Sciences of the United States of America·2022
Same journal

Sublexical semantic decoding during incidental novel word learning in natural Chinese reading.

Cognitive psychology·2026
Same journal

Seeing, hearing, and feeling causation.

Cognitive psychology·2026
Same journal

Separating decision and motor contributions to behavioral biases induced by manipulating stimulus probability.

Cognitive psychology·2026
Same journal

Congruency drives "conflict adaptation" independent of conflict: Converging evidence from behavior and computational modeling.

Cognitive psychology·2026
Same journal

Corrigendum to "Network analyses identify critical factors for facilitating future-oriented decision-making" [Cogn. Psychol. 165 (2026) 101815].

Cognitive psychology·2026
Same journal

The time course of local coherence effects in German: Evidence from self-paced reading times and event-related potentials.

Cognitive psychology·2026
See all related articles

English noun compounds show that regular plurals are dispreferred. This study challenges dual-mechanism theories, proposing a constraint satisfaction model for modifier acceptability based on acquired linguistic input.

Area of Science:

  • Psycholinguistics
  • Computational Linguistics
  • Cognitive Science

Background:

  • The formation of English noun compounds often disfavors regularly inflected plural modifiers (e.g., *rats-eater) compared to singular (mouse-eater) or irregular plural forms (mice-eater).
  • This pattern has historically supported dual-mechanism theories of lexical representation, positing distinct innate mechanisms for regular and irregular word forms.

Purpose of the Study:

  • To challenge the prevailing dual-mechanism theory of lexical representation in psycholinguistics.
  • To propose and validate an alternative account for the acceptability of noun compound modifiers based on constraint satisfaction.

Main Methods:

  • Analysis of large-scale English language corpora to identify patterns in noun compound formation.
  • Behavioral experiments to assess human judgments of noun compound acceptability.

Related Experiment Videos

  • Development and testing of computational models simulating linguistic acquisition and processing.
  • Main Results:

    • Empirical and computational evidence indicates that the rule-versus-exceptions dichotomy makes inaccurate predictions regarding noun compound acceptability.
    • The proposed constraint satisfaction model, integrating semantic, phonological, and other factors, provides a more accurate account of the observed data.
    • Learned constraints, acquired through general-purpose learning algorithms from input data, effectively explain modifier acceptability.

    Conclusions:

    • The regular/irregular distinction in lexical representation is unnecessary and potentially misleading.
    • A unified constraint satisfaction framework, sensitive to various linguistic factors and learned from input, better explains noun compound formation.
    • This approach offers a more parsimonious and empirically supported explanation for psycholinguistic phenomena related to word formation.