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Part of book or chapter of book . 2018 . Peer-reviewed
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Negation in Functional Discourse Grammar

Authors: Kees Hengeveld; J. Lachlan Mackenzie;

Negation in Functional Discourse Grammar

Abstract

Abstract The purpose of this chapter is to show that the model of Functional Discourse Grammar can be used to provide a detailed classification of expressions of negation by taking its hierarchical, layered structure as the point of departure. The chapter thus follows up on ideas first launched in Dik (1997) concerning the various layers of Functional Grammar at which polarity operators can apply. FDG has introduced a number of additional layers which can also host the negative operator to those recognized in FG, and it has furthermore introduced the distinction between the Representational (semantic) and Interpersonal (pragmatic) Levels. We will argue that operators with a negative value can be found at all layers of both the Interpersonal and the Representational Levels. We illustrate all these types and show how their scope properties and their formal manifestation and behaviour warrant their identification in the grammar.

Country
Netherlands
Keywords

SDG 4 - Quality Education, 400, 620

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Top 10%
Average
Green