Image schemas and (point)-to-point event model for the macro-event

F. Li
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Abstract

The macro-event is a fundamental concept in Talmyan motion event typology. A large literature has been documented concerning the status of a particular language in the two-way typology that he proposes, but relatively little literature focusing on the morphosyntactic dimension of the macro-event per se, let alone on the cognitive motivation of the macro-event. This article analyzes the types of macro-events expressed by directional complement constructions in Mandarin, and argues that the macro-events are image-schema-based. The simple image schemas give rise to a more complex three-event-semantic-model, termed (point)-to-point , or to be more particular, (point a)-to-point b, in which to represents the affecting or intervening event, point a represents the original state of point b, point b is the resulting event. point a is usually implied, not explicitly expressed, so it is put in brackets. This model has advantages over Talmy’s main event and co-event structure in that it can largely predict the meaning-form mapping, and explain more constructions. The findings have some implications for cognitive semantics: In grammar, languages generally prioritize the third event; the complex event model might be motivated by simple image schemas.
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宏观事件的图像模式和(点)对点事件模型
宏观事件是塔尔米运动事件类型学中的一个基本概念。关于特定语言在他提出的双向类型学中的地位,已有大量文献记载,但关注宏事件本身的形态句法维度的文献相对较少,更不用说宏事件的认知动机了。本文分析了普通话中方向补语结构所表达的宏事件类型,认为宏事件是以图像图式为基础的。简单的图像图式产生了一种更复杂的三事件语义模型,称为(点)-到-点,或更具体地说,(点 a)-到-点 b,其中 to 表示影响或介入事件,点 a 表示点 b 的原始状态,点 b 是结果事件。点 a 通常是隐含的,而不是明确表达的,所以放在括号里。与塔尔米的主事件和共事件结构相比,该模型的优势在于它能在很大程度上预测意义-形式映射,并能解释更多的结构。这些发现对认知语义学有一定的启示:在语法中,语言通常优先考虑第三个事件;复杂事件模型可能是由简单的图像图式激发的。
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Challenges and potential of quasi-experimental studies in cognitive linguistics applied to language teaching and learning Metaphorical and non-metaphorical meaning from spatial relations Applying cognitive grammar to the Count/Mass Distinction Testing the benefits of relating figurative idioms to their literal underpinnings Image schemas and (point)-to-point event model for the macro-event
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