Taking a unified perspective Resolutions and highlighting in the semantics of attitudes and particles

Open Access
Authors
Supervisors
Cosupervisors
Award date 28-06-2019
ISBN
  • 9789492679864
Number of pages 227
Publisher Amsterdam: Institute for Logic, Language and Computation
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
  • Faculty of Science (FNWI)
Abstract
This dissertation develops semantic accounts of a range of expressions: Attitude verbs, discourse particles, and additive particles. What these expressions have in common is that (i) they can be viewed as operating on the semantic content of the clause they appear with, (ii) they appear with both declarative and interrogative clauses, and (iii) their behavior differs in interesting ways depending on the clause type they appear with.
The solutions advanced here depart from existing work in that they provide unified accounts that are applicable to both the declarative and interrogative case. This immediately predicts the distributional and selectional flexibility of the expressions under investigation and captures their meaning contribution without the need of invoking auxiliary mechanisms like type-shifting. At the same time, although unified accounts treat declarative and interrogative clauses alike, they can still predict the distributional and selectional restrictions and interpretive differences that an expression may exhibit between these two clause types. These differences can be derived from the way in which the lexical semantics of the expression interacts with independent semantic properties of interrogative and declarative clauses.
To formally enable semantic accounts that unify the declarative and interrogative case, this dissertation uses unified notions of semantic content. It is assumed that declarative and interrogative clauses make the same kind of semantic objects available, and expressions like attitude verbs, discourse particles and additive particles operate on these objects.
Document type PhD thesis
Note ILLC Dissertation Series DS-2019-05
Language English
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