Computational Learning of Construction Grammars

[Read Full-Tex: Computational Learning of Construction Grammars] [Original Data: https://drive.google.com/open?id=0B6oBPlj4dynZTFlXV1JNbF9GNEE%5D [Current code: https://github.com/jonathandunn/c2xg%5D 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 model … More Computational Learning of Construction Grammars

Modeling the Complexity and Descriptive Adequacy of Construction Grammars

[Read Full-Text: Modeling construction grammars] [Code: https://github.com/jonathandunn/c2xg%5D This paper uses the Minimum Description Length paradigm to model the complexity of CxGs (operationalized as the encoding size of a grammar) alongside their descriptive adequacy (operationalized as the encoding size of a corpus given a grammar). These two quantities are combined to measure the quality of potential … More Modeling the Complexity and Descriptive Adequacy of Construction Grammars

Finding Variants for Construction-Based Dialectometry: A Corpus-Based Approach to Regional CxGs

[Read Full-Text: Finding variants for construction-based dialectometry] [Data: https://drive.google.com/open?id=1xcnZ8uNGZTTWbaK_FYCbdtzTWPlxH7xQ%5D [Code: https://github.com/jonathandunn/c2xg%5D 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 (a CxG) using construction grammar induction and then … More Finding Variants for Construction-Based Dialectometry: A Corpus-Based Approach to Regional CxGs