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Representational Complexity and Memory Retrieval in Language Comprehension.

Philip Hofmeister¹

¹Center for Research in Language, University of California-San Diego, La Jolla, CA, Telephone: (650)-387-6641.

Language and Cognitive Processes

|June 8, 2012

Summary

This summary is machine-generated.

Mental representations in language comprehension are influenced by complexity. More complex phrases in memory retrieval tasks improve reading speed, suggesting activation boosting and reduced interference.

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Area of Science:

Cognitive Psychology
Psycholinguistics
Computational Linguistics

Background:

Mental representations vary in feature-based complexity.
Current retrieval theories in sentence comprehension lack detail on complexity's role.
Encoding processes' influence on memory performance is not fully understood.

Purpose of the Study:

Investigate how representational complexity affects memory retrieval in language comprehension.
Examine the impact of syntactic and semantic features on memory performance.
Determine the underlying mechanisms of complexity-based effects in reading.

Main Methods:

Conducted three self-paced reading experiments.
Manipulated the complexity of filler-phrases in filler-gap dependencies.
Analyzed reading times at retrieval sites and earlier processing stages.

Main Results:

Reading times at retrieval sites decreased with more complex filler-phrases.
Complexity effects were independent of string length, syntactic variation, or processing amount.
Evidence suggests activation boosting and reduced similarity-based interference.

Conclusions:

Representational complexity significantly influences memory retrieval during sentence comprehension.
Increased phrase complexity enhances memory access, likely via activation boosting and interference reduction.
Findings contribute to a deeper understanding of language processing and memory dynamics.