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even in Horn Space

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5422))

Abstract

In the first part of the paper, I argue that current pragmatic theories of NPI licensing fail to capture the distinction between strong and weak NPIs. Specifically, I will show that an analysis in terms of covert even alone can not account for the limited distribution of strong NPIs. In the second part, I investigate the implicatures of even sentences in weak licensing contexts. I show that they give rise to a minimal-achievement implicature which can be used to derive the markedness of strong NPIs in weak licensing contexts.

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© 2009 Springer-Verlag Berlin Heidelberg

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Eckardt, R. (2009). even in Horn Space. In: Bosch, P., Gabelaia, D., Lang, J. (eds) Logic, Language, and Computation. TbiLLC 2007. Lecture Notes in Computer Science(), vol 5422. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00665-4_5

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  • DOI: https://doi.org/10.1007/978-3-642-00665-4_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00664-7

  • Online ISBN: 978-3-642-00665-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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