Computational Construction Grammar

A Usage-Based Approach

Jonathan Dunn (University of Illinois, Urbana-Champaign)

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English

Cambridge University Press
06 June 2024

Psycholinguistics; Grammar, syntax; Computational linguistics; Cognition & cognitive psychology

Series: Elements in Cognitive Linguistics

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.

By: Jonathan Dunn (University of Illinois Urbana-Champaign)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Dimensions: Height: 229mm, Width: 152mm, Spine: 6mm
Weight: 172g
ISBN: 9781009233767
ISBN 10: 1009233769
Series: Elements in Cognitive Linguistics
Pages: 110
Publication Date: 06 June 2024
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

1. Representing constructions; 2. Learning constructions; 3. Forming the constructicon; 4. Conclusions; References.