Computational Construction Grammar
Author | : Jonathan Dunn |
Publisher | : Cambridge University Press |
Total Pages | : 191 |
Release | : 2024-06-06 |
ISBN-10 | : 9781009233774 |
ISBN-13 | : 1009233777 |
Rating | : 4/5 (74 Downloads) |
Book excerpt: This Element introduces a usage-based computational approach to Construction Grammar that draws on techniques from natural language processing and unsupervised machine learning. This work explores how to represent constructions, how to learn constructions from a corpus, and how to arrange the constructions in a grammar as a network. From a theoretical perspective, this Element examines how construction grammars emerge from usage alone as complex systems, with slot-constraints learned at the same time that constructions are learned. From a practical perspective, this work is accompanied by a Python package which enables linguists to incorporate construction grammars into their own corpus-based work. The computational experiments in this Element are important for testing the learnability, variability, and confirmability of Construction Grammar as a theory of language. All code examples will leverage the cloud computing platform Code Ocean to guide readers through implementation of these algorithms.