Computational Construction Grammar

By Jonathan Dunn

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.

• Format: Paperback
• Language: English
• ISBN: 1009233769
• ISBN13: 9781009233767
• Release Date: June 2024
• Publisher: Cambridge University Press
• Length: 110 Pages
• Weight: 0.35 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"