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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
Summary
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.
- 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.
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