Computational construction grammar: a usage-based approach

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 constr...

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Bibliographic Details
Main Author: Dunn, Jonathan (Author)
Format: Electronic eBook
Language:English
Published: Cambridge Cambridge University Press 2024
Series:Cambridge elements
Subjects:
Online Access:DE-12
DE-473
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Summary: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
Item Description:Title from publisher's bibliographic system (viewed on 08 May 2024)
Physical Description:1 Online-Ressource (99 Seiten)
ISBN:9781009233743
DOI:10.1017/9781009233743

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