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OverviewThis 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. Full Product DetailsAuthor: Jonathan Dunn (University of Illinois, Urbana-Champaign)Publisher: Cambridge University Press Imprint: Cambridge University Press ISBN: 9781009507608ISBN 10: 1009507605 Pages: 110 Publication Date: 06 June 2024 Audience: General/trade , General Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of Contents1. Representing constructions; 2. Learning constructions; 3. Forming the constructicon; 4. Conclusions; References.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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