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Parsing Model and a Rational Theory of Memory
Jakub Dotlačil1, Puck de Haan2
1Utrecht Institute of Linguistics, Utrecht University, Utrecht, Netherlands.
Frontiers in Psychology
|July 12, 2021
Summary
This study integrates rational memory theory with computational psycholinguistics for human parsing models. The resulting data-driven parser is compatible with the ACT-R cognitive architecture.
Area of Science:
- Cognitive Science
- Computational Psycholinguistics
- Memory Research
Background:
- Existing computational psycholinguistic models of human parsing.
- The rational theory of memory (Anderson, 1991).
Purpose of the Study:
- To explore how the rational theory of memory can inform computational psycholinguistic models of human parsing.
- To develop a data-driven model of sentence processing compatible with the ACT-R cognitive architecture.
Main Methods:
- Combining the rational theory of memory with transition-based parsers.
- Testing model predictions against qualitative data (garden-path sentences) and a self-paced reading corpus (Natural Stories).
Main Results:
- Transition-based parsing is suitable for integration with the rational theory of memory.
- The integrated model provides a data-driven approach to sentence processing.
- The model is embeddable within the Adaptive Control of Thought-Rational (ACT-R) cognitive architecture.
Conclusions:
- The integration of rational memory theory and transition-based parsing offers a robust computational model for human sentence processing.
- This approach enhances data-driven psycholinguistic models and aligns with established cognitive architectures like ACT-R.
Keywords:
cognitively constrained parserscomputational psycholinguisticsmemory retrievalmodeling reading datarational theory of memoryMore Related Videos
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