【摘要】 本文在关联论和空间映射论的基础上提出了关联映射这一概念,并用它解释了量化最高级的涌现性极性特征,解决了基于量级的梯级模型尚待解决的三个问题。本文认为:关联映射制约量化最高级的用法;量值与概率之间的映射关系暗示含有量化最高级的命题所表达的事件的先验概率,引导人们从概率极小事件的信息衍推其他所有概率的同类事件的信息;量值与概率之间的映射关系也是判断量化最高级的语用合适性的依据,并制约量化最高级与极向的组合类型,屏蔽不合适用法;量化最高级的涌现性极性特征是关联映射原理的显现。更多还原

【Abstract】 The paper brings up a new idea of relevant mapping by integrating Relevance Theory and Mental Space Theory to explain the emergent polarity of quantifying superlatives and to deal with the three issues that remain to be unsolved in the Quantity-based Scalar Model.It is conclud～ed as follows : Relevant mappings control the emergent polarity of quantifying superlatives ; the mappings between the quantifying values and the probabilities of events imply the probabilities of events that the proposition of quantifying superlative expresses , which leads to the inference from the least probabilities of events to all the other probabilities of similar events ; this mapping is also the basis for deciding on the pragmatic appropriateness of quantifying superlatives , and it controls the configuration types of quantifying superlatives and pragmatic appropriateness to prevent the inappropriate use from appearing.The emergent polarity of quantifying superlatives is the manifestation of relevant mapping.更多还原