Match, mismatch, and envisioning transfer events
How verbal constructional bias and lexical-class concord shape motor simulation effects
Prior studies suggest that language users perform motoric simulations when construing action sentences and that
verbs and constructions each contribute to simulation-based representation (
Glenberg &
Kaschak 2002;
Richardson et al. 2003;
Bergen et al. 2007;
Bergen & Wheeler 2010). This raises the possibility
that motorically grounded verb and construction meanings can interact during sentence understanding. In this experiment, we use
the action-sentence compatibility effect methodology to investigate how a verb’s lexical-class membership, constructional context,
and constructional bias modulate motor simulation effects. Stimuli represent two classes of transfer verbs and two constructions
that encode transfer events, Ditransitive and Oblique Goal (
Goldberg 1995). Findings
reveal two kinds of verb-construction interactions. First, verbs in their preferred construction generate stronger simulation
effects overall than those in their dispreferred construction. Second, verbs that entail change of possession generate strong
motor-simulation effects irrespective of constructional context, while those entailing causation of motion exert such effects only
when enriched up to change-of-possession verbs in the semantically mismatched Ditransitive context. We conclude that simulation
effects are not isolable to either verbs or constructions but instead arise from the interplay of verb and construction
meaning.
Article outline
- 1.Introduction
- 2.Theoretical and methodological background
- 2.1The dative opposition, verb classes, and syntactic preference
- 2.2Motor simulation effects and methodologies
- 3.Predictions
- 4.Methods
- 4.1Participants
- 4.2Materials
- 4.3Design and procedure
- 5.Results
- 6.Discussion
- 6.1Construction type significantly predicts motor simulation effects
- 6.2Frequency-based concord significantly predicts motor simulation effects
- 6.3Lexical-semantic concord significantly predicts motor simulation effects
- 7.Conclusion
-
Acknowledgements
- Notes
-
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