Learnability and falsifiability of Construction Grammars
DOI:
https://doi.org/10.3765/plsa.v2i0.4009Keywords:
construction grammar, grammar induction, discovery-device grammar, computational construction grammarAbstract
The strength of Construction Grammar (CxG) is its descriptive power; its weakness is the learnability and falsifiability of its unconstrained representations. Learnability is the degree to which the optimum set of constructions can be consistently selected from the large set of potential constructions; falsifiability is the ability to make testable predictions about the constructions present in a dataset. This paper uses grammar induction to evaluate learnability and falsifiability: given a discovery-device CxG and a set of observed utterances, its learnability is its stability over sub-sets of data and its falsifiability is its ability to predict a CxG.Downloads
Published
2017-06-12
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Articles
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Published by the LSA with permission of the author(s) under a CC BY 4.0 license.
How to Cite
Dunn, Jonathan. 2017. “Learnability and Falsifiability of Construction Grammars”. Proceedings of the Linguistic Society of America 2 (June): 1:1–15. https://doi.org/10.3765/plsa.v2i0.4009.