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Being explicit about the implicit: inference generating techniques in visual narrative
Language and Cognition ( IF 2.660 ) Pub Date : 2019-04-30 , DOI: 10.1017/langcog.2019.6
NEIL COHN

abstractInference has long been acknowledged as a key aspect of comprehending narratives of all kinds, be they verbal discourse or visual narratives like comics and films. While both theoretical and empirical evidence points towards such inference generation in sequential images, most of these approaches remain at a fairly broad level. Few approaches have detailed the specific cues and constructions used to signal such inferences in the first place. This paper thereby outlines several specific entrenched constructions that motivate a reader to generate inference. These techniques include connections motivated by the morphology of visual affixes like speech balloons and thought bubbles, the omission of certain narrative categories, and the substitution of narrative categories for certain classes of panels. These mechanisms all invoke specific combinatorial structures (morphology, narrative) that mismatch with the elicited semantics, and can be generalized by a set of shared descriptive features. By detailing specific constructions, this paper aims to push the study of inference in visual narratives to be explicit about when and why meaning is ‘filled in’ by a reader, while drawing connections to inference generation in other modalities.

中文翻译:

明确隐含:视觉叙事中的推理生成技术

摘要推理一直被认为是理解各种叙事的关键方面,无论是口头话语还是漫画和电影等视觉叙事。虽然理论和经验证据都指向序列图像中的这种推理生成,但这些方法中的大多数仍处于相当广泛的水平。很少有方法首先详细说明用于发出此类推论的特定线索和结构。因此,本文概述了几种特定的根深蒂固的结构,这些结构可以激发读者进行推理。这些技术包括由语音气球和思想泡泡等视觉词缀的形态驱动的连接、某些叙述类别的省略以及叙述类别对某些类别的面板的替代。这些机制都调用与引出语义不匹配的特定组合结构(形态、叙述),并且可以通过一组共享的描述性特征进行概括。通过详细说明具体的结构,本文旨在推动视觉叙事中的推理研究明确读者何时以及为何“填充”意义,同时将其与其他形式的推理生成联系起来。
更新日期:2019-04-30
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