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Semantic Information and the Syntax of Propositional Attitude Verbs
Aaron S White1, Valentine Hacquard2, Jeffrey Lidz2
1Science of Learning Institute, Department of Cognitive Science, Center for Language and Speech Processing, Johns Hopkins University.
Cognitive Science
|October 21, 2017
Summary
Syntactic distributions of propositional attitude verbs reveal fine-grained semantic information. This study quantifies the link between syntax and semantics using behavioral experiments.
Area of Science:
- Linguistics
- Psycholinguistics
- Cognitive Science
Background:
- Propositional attitude verbs (e.g., think, want) exhibit complex syntactic, semantic, and pragmatic properties.
- Understanding these properties and their interactions is challenging for theoretical linguistics and language acquisition research.
Purpose of the Study:
- To investigate the extent to which semantic and pragmatic properties of propositional attitude verbs can be inferred from their syntactic distributions.
- To quantitatively assess the relationship between syntactic distributions and semantic/pragmatic properties.
Main Methods:
- Experiment 1: Assessed syntactic distributions of 30 propositional attitude verbs via acceptability judgments.
- Experiments 2a & 2b: Measured semantic similarity using a generalized semantic discrimination task and a Likert scale task.
- Analyses compared experimental data to existing literature and directly correlated syntactic and semantic judgments.
Main Results:
- Syntactic distributions provide fine-grained information about the semantics of propositional attitude verbs.
- Both qualitative (discrete) and quantitative (continuous) classifications of verb semantics can be derived from syntactic data.
- Experimental results align with and refine existing classifications from linguistic literature.
Conclusions:
- Syntactic distributions are a rich source for understanding the semantics of propositional attitude verbs.
- Behavioral experiments offer a quantitative approach to linking syntax and semantics in language.
- This research bridges theoretical linguistic classifications with experimentally derived semantic data.
Keywords:
Lexical semanticsProjection rulesPropositional attitude verbsSyntactic bootstrappingSyntax-semantics interfaceVerb learningMore Related Videos
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