Skip to main content Accessibility help
×
Hostname: page-component-8448b6f56d-dnltx Total loading time: 0 Render date: 2024-04-18T09:50:47.489Z Has data issue: false hasContentIssue false

8 - A Dynamic Network Model of Parts of Speech

from Part III - Filler–Slot Relations

Published online by Cambridge University Press:  12 August 2019

Holger Diessel
Affiliation:
Friedrich-Schiller-Universität, Jena, Germany
Get access

Summary

Chapter 8 extends the network analysis of argument structure to the analysis of parts of speech. Traditionally, parts of speech are analyzed as classes of lexical items with the same or similar structural properties, but the structural criteria that are used to define the major parts of speech (e.g., the occurrence of certain function words or inflectional affixes) can also be seen as properties of particular slots of constructional schemas. Crucially, while the slots of word class schemas are commonly defined by distributional criteria, they are not merely structural concepts but evoke particular conceptualizations. Combining research from cognitive linguistics with research from typology, the chapter argues that the major parts of speech are best analyzed in the framework of a network model in which particular lexical items are linked to particular word class schemas. The bulk of the analysis is concerned with the three major parts of speech (i.e., nouns, verbs, adjectives), but the chapter also includes a section on grammaticalization that explains how grammatical function words are derived from content words (and demonstratives) in a dynamic network model.

Type
Chapter
Information
The Grammar Network
How Linguistic Structure Is Shaped by Language Use
, pp. 142 - 171
Publisher: Cambridge University Press
Print publication year: 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×