Learnability and constraints on the semantics of clause-embedding predicates. Maldonado, M., Culbertson, J., & Uegaki, W. In Proceedings of the Annual Meeting of the Cognitive Science Society, 2022.
Paper abstract bibtex 41 downloads Responsive predicates are clause-embedding predicates like English know and guess that can take both declarative and interrogative clausal complements. The meanings of responsive predicates when they take a declarative complement and when they take an interrogative complement are hypothesized to be constrained in systematic ways across languages, suggesting that these constraints represent semantic universals. We report an artificial language learning experiment showing that one of these proposed constraints is indeed reflected in the inferences participants make while learning a novel responsive predicate. Our results add support to a growing body of evidence linking semantic universals to learning.
@inproceedings{maldonado2022learnability,
title={Learnability and constraints on the semantics of clause-embedding predicates},
author={Maldonado, Mora and Culbertson, Jennifer and Uegaki, Wataru},
booktitle={Proceedings of the Annual Meeting of the Cognitive Science Society},
url={https://escholarship.org/content/qt9h13v9db/qt9h13v9db.pdf},
abstract={Responsive predicates are clause-embedding predicates like
English know and guess that can take both declarative and interrogative clausal complements. The meanings of responsive
predicates when they take a declarative complement and when
they take an interrogative complement are hypothesized to be
constrained in systematic ways across languages, suggesting
that these constraints represent semantic universals. We report
an artificial language learning experiment showing that one of
these proposed constraints is indeed reflected in the inferences
participants make while learning a novel responsive predicate.
Our results add support to a growing body of evidence linking
semantic universals to learning.},
KEYWORDS = {Questions ; Inquisitive Semantics ; Clause-embedding predicates; Artifical Language learning},
year={2022}
}
Downloads: 41
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