Maximize Presupposition! and local contexts
Maximize Presupposition! and local contexts
复制标题
最大化预设！
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Raj Singh
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文献类型：
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作者：
Raj Singh
最大化预设！是一种在上下文等效的竞争结构之间进行裁决的经济条件。基于 O. Percus 发现的数据，我认为约束是在嵌入成分的本地上下文中检查的。我认为这种架构带来了反预设投射问题的通用解决方案，并且还允许消除 I. Heim 的“新颖性/熟悉性条件”作为对上下文变化操作的约束。
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.