从皮尔斯符号学的角度反思多模态语料库

IF 1.5 Q2 COMMUNICATION
Tuomo Hiippala
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引用次数: 0

摘要

本文从皮尔斯符号学的角度讨论多模态语料库的注释和查询。语料库对语言学领域的实证研究产生了重大影响,也越来越被认为是多模态研究的必要条件。我认为,可以利用皮尔斯符号学来深入理解多模态语料库,并重新思考我们的工作方式。我在一项实证研究中展示了所提出的方法,该研究利用皮尔斯符号学指导使用计算机视觉和基于向量的信息检索技术查询多模态语料库的过程。研究结果表明,计算机视觉算法仅限于特定的经验领域,而这些领域可以用皮尔斯的符号学理论加以限定。然而,这种算法的适用性可以通过注释得到扩展,注释可以捕捉到算法之外的意义生成的各个方面。总之,研究结果表明,应积极将多模态语料库的构建和分析过程理论化,以确定处理其中存储的信息的新方法,特别是在划分人类和算法之间的注释任务方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rethinking multimodal corpora from the perspective of Peircean semiotics
This article discusses annotating and querying multimodal corpora from the perspective of Peircean semiotics. Corpora have had a significant impact on empirical research in the field of linguistics and are increasingly considered essential for multimodality research as well. I argue that Peircean semiotics can be used to gain a deeper understanding of multimodal corpora and rethink the way we work with them. I demonstrate the proposed approach in an empirical study, which uses Peircean semiotics to guide the process of querying multimodal corpora using computer vision and vector-based information retrieval. The results show that computer vision algorithms are restricted to particular domains of experience, which may be circumscribed using Peirce's theory of semiotics. However, the applicability of such algorithms may be extended using annotations, which capture aspects of meaning-making that remain beyond algorithms. Overall, the results suggest that the process of building and analysing multimodal corpora should be actively theorized in order to identify new ways of working with the information stored in them, particularly in terms of dividing the annotation tasks between humans and algorithms.
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来源期刊
CiteScore
3.30
自引率
8.30%
发文量
284
审稿时长
14 weeks
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