Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

1 results

  • 1 - Word Grammar in Its Intellectual Contexts

  • Edited by Eva Duran Eppler, Roehampton University, London, Nikolas Gisborne, University of Edinburgh, Andrew Rosta, University of Central Lancashire, Preston
  • Book:
    Word Grammar, Cognition and Dependency
    Published online:
    19 December 2024
    Print publication:
    02 January 2025, pp 19-49

  • Summary

    Word Grammar is a linguistic theory which best known as a variant of Dependency Grammar. However, it has a number of other properties, and its architectural assumptions are consistent with its theory of how human cognition works and its theory of how representations work. In this chapter we relate Word Grammar (WG) to a number of different trends in linguistic theorising and explain the various traditions that the theory belongs to. Word Grammar belongs in three main theoretical traditions: Dependency Grammars, Constraint-based Grammars and Cognitive Linguistics. We show how WG relates to these approaches and explore how the network model of linguistic representation adopted by WG relates to each tradition. The key claim of WG is that language is represented in a symbolic network, which is part of a more general human cognitive network and which is in a relationship with a discreet neural network.