Against Context-blind Embedded Scalar Implicatures
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A sentence like #Jane assigned an A to some of her students is odd in the context where every professor always assigns the same grade to all of his students, and Jane is a professor. Magri(2009, 2011) suggests that its oddness comes from the mismatch between the scalar implicature that Jane did not assign an A to all of her students and the contextual information. In Magri(2011) the focus moves from the analysis of unembedded cases to embedded cases, especially in downward entailing contexts. He argues that his mismatching implicature reasoning can also explain oddness of embedded cases. In this paper, after discussing empirical problems of Magri’s theory, I propose an alternative analysis. More specifically, I show that two conditions − Ban on Underinformativity and Ban on Overinformativity − can successfully account for the data in question. Finally, I discuss Spector(2014), and point out a conceptual question arising from his proposal
Abstract
A sentence like #Jane assigned an A to some of her students is odd in the context where every professor always assigns the same grade to all of his students, and Jane is a professor. Magri(2009, 2011) suggests that its oddness comes from the mismatch between the scalar implicature that Jane did not assign an A to all of her students and the contextual information. In Magri(2011) the focus moves from the analysis of unembedded cases to embedded cases, especially in downward entailing contexts. He argues that his mismatching implicature reasoning can also explain oddness of embedded cases. In this paper, after discussing empirical problems of Magri’s theory, I propose an alternative analysis. More specifically, I show that two conditions − Ban on Underinformativity and Ban on Overinformativity − can successfully account for the data in question. Finally, I discuss Spector(2014), and point out a conceptual question arising from his proposal
참고문헌 (12)
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