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Parsing as a Cue-Based Retrieval Model
1Utrecht Institute of Linguistics, Utrecht University.
Cognitive Science
|August 11, 2021
Summary
This study introduces a new psycholinguistic parser based on cue-based memory systems. This parser, integrated with ACT-R, successfully models human reading behavior and predicts reading times.
Area of Science:
- Psycholinguistics
- Cognitive Science
- Computational Linguistics
Background:
- Recent theories propose memory retrieval is content-addressable and cue-based.
- Transition-based parsing is a computational approach to analyzing sentence structure.
Purpose of the Study:
- To develop a novel psycholinguistic parser integrating cue-based memory principles with transition-based parsing.
- To test the parser's ability to model human reading behavior using experimental and corpus data.
Main Methods:
- Developed a psycholinguistic parser based on cue-based memory retrieval.
- Integrated the parser with the ACT-R cognitive architecture.
- Validated the parser against self-paced reading and eye-tracking experimental data, and a reading corpus.
Main Results:
- The developed parser, combined with ACT-R, can model reading processes.
- The parser successfully predicts online behavioral measures such as reading times and regressions.
- Model performance was validated against established experimental and corpus datasets.
Conclusions:
- Cue-based memory systems can be effectively combined with transition-based parsing for psycholinguistic modeling.
- The novel parser provides a computationally grounded approach to understanding reading behavior.
- This work advances the integration of memory theory and computational parsing in cognitive science.
Keywords:
ACT-RComputational psycholinguisticsCue-based retrievalMemory retrievalModeling reading dataProcessingMore Related Videos
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