The Visual Representation of Abstract Verbs: Merging Verb Classification with Iconicity in Sign Language

Simone Scicluna, C. Strapparava
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引用次数: 1

Abstract

Theories like the picture superiority effect state that the visual modality has substantial advantage over the other human senses. This makes visual information vital in the acquisition of knowledge, such as in the learning of a language. Words can be graphically represented to illustrate the meaning of a message and facilitate its understanding. This method, however, becomes a limitation in the case of abstract words, like accept, belong, integrate and agree, which have no visual referent. The current research turns to sign languages to explore the common semantic elements that link words to each other. Such visual languages have been found to reveal enlightening patterns across signs of similar meanings, pointing towards the possibility of creating clusters of iconic meanings along with their respective graphic representation. By using sign language insight and VerbNet's organisation of verb predicates, this study presents a novel organisation of 506 English abstract verbs classified by visual shape. Graphic animation was used to visually represent the 20 classes of abstract verbs developed. To build confidence on the resulting product, which can be accessed on www.vroav.online, an online survey was created to achieve judgements on the visuals' representativeness. Considerable agreement between participants was found, suggesting a positive way forward for this work, which may be developed as a language learning aid in educational contexts or as a multimodal language comprehension tool for digital text.
抽象动词的视觉表征:手语动词分类与象似性的融合
像图片优势效应这样的理论表明,视觉形式比人类的其他感官具有实质性的优势。这使得视觉信息在获取知识中至关重要,比如在学习语言时。单词可以用图形表示来说明信息的含义,便于理解。然而,这种方法在诸如accept、belong、integrate、agree等没有视觉参照物的抽象词的情况下就变得有限了。目前的研究转向手语,以探索将单词相互联系起来的共同语义元素。这种视觉语言揭示了具有相似意义的符号之间的启发性模式,指出了创造具有各自图形表示的标志性意义集群的可能性。本研究利用手势语言的洞察力和动词谓词的动词网络组织,提出了506个英语抽象动词的视觉形状分类的新组织。使用图形动画直观地表示所开发的20类抽象动词。为了建立对最终产品的信心,可以在www.vroav.online上访问,创建了一个在线调查,以获得对视觉代表性的判断。研究发现,参与者之间达成了相当大的共识,这为这项工作提供了积极的发展方向,它可以作为教育背景下的语言学习辅助工具,也可以作为数字文本的多模态语言理解工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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