Computational Learning of Construction Grammars

Dunn, J. (2017). “Computational Learning of Construction Grammars.” Language and Cognition, 9(2): 254-292. Abstract. This paper presents an algorithm for learning the construction grammar of a language from a large corpus. This grammar induction algorithm has two goals: first, to show that construction grammars are learnable without highly specified innate structure; second, to develop a … More Computational Learning of Construction Grammars

Modeling the Complexity and Descriptive Adequacy of Construction Grammars

Dunn, J. (2018). “Modeling the Complexity and Descriptive Adequacy of Construction Grammars.” In Proceedings of the Society for Computation in Linguistics (SCiL 2018). Stroudsburg, PA: Association for Computational Linguistics. 81-90. Abstract. This paper uses the Minimum Description Length paradigm to model the complexity of CxGs (operationalized as the encoding size of a grammar) alongside their … More Modeling the Complexity and Descriptive Adequacy of Construction Grammars

Finding Variants for Construction-Based Dialectometry

Dunn, J. (2018). “Finding Variants for Construction-Based Dialectometry: A Corpus-Based Approach to Regional CxGs.” Cognitive Linguistics, 29(2): 275-311. Abstract. This paper develops a construction-based dialectometry capable of identifying previously unknown constructions and measuring the degree to which a given construction is subject to regional variation. The central idea is to learn a grammar of constructions … More Finding Variants for Construction-Based Dialectometry