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Natural Language Semantics

, Volume 19, Issue 2, pp 149–168 | Cite as

Maximize Presupposition! and local contexts

  • Raj SinghEmail author
Article

Abstract

Maximize Presupposition! is an economy condition that adjudicates between contextually equivalent competing structures. Building on data discovered by O. Percus, I will argue that the constraint is checked in the local contexts of embedded constituents. I will argue that this architecture leads to a general solution to the problem of antipresupposition projection, and also allows I. Heim’s ‘Novelty/Familiarity Condition’ to be eliminated as a constraint on operations of context change.

Keywords

Maximize Presupposition! Local contexts Antipresupposition projection Variables Novelty/Familiarity Condition 

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.Institute of Cognitive ScienceCarleton UniversityOttawaCanada

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