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Updated: May 1, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
Published on: June 30, 2020
Language learners privilege structured meaning over surface frequency
Jennifer Culbertson1, David Adger
1Linguistics Program, English Department, George Mason University, Fairfax, VA 22030.
Language learners prioritize abstract structural rules over surface patterns when inferring grammar. This study shows cognitive systems favor structural similarity, suggesting a universal preference for meaning-utterance mapping in language acquisition.
Area of Science:
- Cognitive Science
- Linguistics
- Psychology
Background:
- Natural language acquisition is widely believed to involve structure-dependent rules.
- Recent research explores statistical generalizations of surface distributional information in language learning.
Purpose of the Study:
- To investigate whether learners use surface statistical knowledge or structural knowledge to infer properties of a novel language with limited input.
- To determine if structural similarity or superficial order is favored in grammatical inferences.
Main Methods:
- Learners were exposed to artificial language patterns consistent with two grammars.
- One grammar mirrored English linear word order; the other shared abstract structural properties.
- Learners' inferences about the novel language were analyzed.
Main Results:
- Grammatical inferences overwhelmingly favored structural similarity over superficial order.
- The shared structure was characterized by a universal preference for isomorphism in meaning-utterance mapping.
- This preference may reflect a deep cognitive property, not just cross-linguistic data.
Conclusions:
- Human language acquisition is constrained by structure-sensitive principles, favoring abstract structural similarity.
- A universal preference for isomorphism in meaning-utterance mapping appears to be a fundamental cognitive property.
- This finding suggests innate cognitive biases guide language learning beyond statistical surface patterns.
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