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Actions and affordances in syntactic ambiguity resolution.
Craig G Chambers1, Michael K Tanenhaus, James S Magnuson
1Department of Psychology, University of Calgary, AB, Canada. craig@ucalgary.ca
Summary
Listeners use real-world object properties to resolve temporary sentence ambiguities, guiding syntactic interpretation. This research reveals how context influences language processing and meaning construction during real-time comprehension.
Area of Science:
- Cognitive Psychology
- Psycholinguistics
- Computational Linguistics
Background:
- Syntactic ambiguity presents challenges in language comprehension.
- Listeners must rapidly resolve ambiguities to understand utterances.
- The role of real-world context in resolving ambiguity is an active area of research.
Purpose of the Study:
- To investigate how object affordances influence the resolution of temporary syntactic ambiguity.
- To determine if listeners' interpretation of ambiguous phrases is guided by situational context.
- To examine the relationship between behavioral goals and syntactic decision-making.
Main Methods:
- Monitoring participants' eye movements while they followed spoken instructions.
- Implementing temporary syntactic ambiguities in instructions (e.g., 'Pour the egg in the bowl over the flour').
- Manipulating object affordances (e.g., liquid vs. solid eggs) to vary potential interpretations.
Main Results:
- The number of objects that could perform the action influenced initial misinterpretations of ambiguous phrases.
- Listeners were more likely to interpret "in the bowl" as a location when fewer objects afforded the pouring action.
- Object affordances significantly guided the resolution of syntactic ambiguity.
Conclusions:
- Syntactic interpretation is not solely based on grammatical structure but is dynamically influenced by context.
- Listeners actively evaluate the situation to determine the most plausible meaning and achieve the speaker's intended goal.
- This study highlights the integration of perception, action, and language processing in real-time comprehension.