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Overview
Overview
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 work 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 work are important for testing the learnability, variability, and confirmability of Construction Grammar as a theory of language.
- Format: Trade Paperback
- Author: Dunn, Jonathan
- ISBN: 9781009233767
- Condition: New
- Number Of Pages: 75
- Publication Year: 2024
Language:
English