Two Ways to Blend: The Hidden Complexities of Simplex Networks

IF 0.5 0 LANGUAGE & LINGUISTICS Cognitive Semantics Pub Date : 2022-05-11 DOI:10.1163/23526416-bja10023
Žolt Papišta
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引用次数: 0

Abstract

The notion of simplex networks refers to a type of conceptual blending, by means of which empty roles of a frame (such as the frame of human kinship) are combined with values from the other semantic field (such as individuals who may be conceived of as kin). The current paper argues that there are two main ways in which simplex networks can be constructed: top-down and bottom-up. The construction of top-down simplex networks is prompted by linguistic cues, and in line with those, structure from the roles is projected onto the values in the blended space. The construction of bottom-up simplex networks, on the other hand, is not prompted by linguistic cues but by pattern recognition, and the perceived structure of the values determines which frames and roles may be chosen for the purposes of blending.
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两种混合方法:单纯形网络的隐藏复杂性
单纯形网络的概念是指一种概念融合,通过这种融合,一个框架(如人类亲属关系的框架)的空角色与其他语义领域(如可能被视为亲属的个人)的价值观相结合。本文认为,单纯形网络的构建主要有两种方式:自上而下和自下而上。自上而下的单纯形网络的构建是由语言线索推动的,与这些线索相一致,来自角色的结构被投影到混合空间中的值上。另一方面,自下而上的单纯形网络的构建不是由语言线索引起的,而是由模式识别引起的,并且感知的价值观结构决定了可以选择哪些框架和角色来进行混合。
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来源期刊
Cognitive Semantics
Cognitive Semantics Arts and Humanities-Language and Linguistics
CiteScore
0.50
自引率
0.00%
发文量
14
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