在生成词库论的指导下,本文通过检索相关语料考察量词“场”跟相关成分的组合情况,指出“场”具有事件量化的功能,要求与之搭配的成分必须具有时间性和事件性的语义特征,并通过相关的类型强迫机制生成恰当的语义。此外,“场”还具有非事件量化用法。据此,我们尝试将“场”的语义实现分为:(1)“场l”:突出时间过程性;(2)“场2”:突出时间过程性并兼具空间场景性;(3)“场3”:淡化时间和空间性,突出事件计量属性。
Under the guidance of generative lexicon theory, this paper studies the combination of the classifier Chang(场) with related arguments through retrieving corpora and points out that Chang(场) has the function of event quantification, which requires that the collocational arguments should have the semantic features of temporality and eventuality. The appropriate meaning of the whole structure emerges by relevant type coercion mechanisms. Besides, Chang(场) has non-event quantitative function. On this basis, we attempt to distinguish the semantic realization of Chang(场) into three types, i.e., (1) Chang1(场1), which foregrounds the temporal process, (2) Changz(场2), which foregrounds both the temporal process and the spatial situation, and (3) Chang3(场3), which backgrounds the temporality and spatiality, but foregrounds the quantification of events.