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Working memory constraints on syntactic ambiguity resolution as revealed by electrical brain responses
A D Friederici1, K Steinhauer, A Mecklinger
1Max-Planck-Institute of Cognitive Neuroscience, Leipzig, Germany. angelafr@cns.mpg.de
Biological Psychology
|June 13, 1998
Summary
Readers with high and low memory spans use case marking to resolve syntactic ambiguity in sentences. Differences in processing appear mainly with longer ambiguous regions, impacting sentence parsing.
Area of Science:
- Psycholinguistics
- Cognitive Neuroscience
- Computational Linguistics
Background:
- Syntactic ambiguity resolution is crucial for language comprehension.
- Individual differences in memory capacity may influence parsing strategies.
- Event-related potentials (ERPs) offer insights into real-time cognitive processes.
Purpose of the Study:
- To investigate how readers with varying memory spans parse temporarily ambiguous sentences.
- To examine the role of morphological case marking in resolving syntactic ambiguity.
- To compare processing strategies under different disambiguation conditions (late, immediate, early).
Main Methods:
- Utilized event-related potentials (ERPs) to record brain activity during sentence reading.
- Compared high and low memory span readers' neural responses to subject vs. object relative clauses.
- Manipulated sentence structure and case marking for late, immediate, and early disambiguation.
Main Results:
- High memory span readers showed revision effects in late disambiguation, unlike low span readers.
- Both groups immediately used clear case marking at the relative pronoun for revision.
- Non-immediate revision effects were observed when case marking followed an ambiguous pronoun, influenced by German case ambiguity.
Conclusions:
- Morphological information is used immediately to resolve unambiguous syntactic ambiguity by both high and low memory span readers.
- Processing differences between memory span groups emerge primarily with extended ambiguous sentence regions.
- Sentence memory capacity modulates the utilization of disambiguating cues during real-time language processing.