Complexity in sign languages
Complexity in sign languages
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DOI：
10.1515/lingvan-2021-0005
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发表时间：
2022-10-31
影响因子：
1.1
通讯作者：
Gurbuz, Ali C.
中科院分区：
文献类型：
--
作者：
Malaia, Evie A.;Borneman, Joshua D.;Gurbuz, Ali C.
手语是一种在信息传递能力上相当于口语的人类交流系统，但它使用动态的视觉信号进行交流。因此，通常为线性、符号语言表示（如口头语言的书面形式）而开发的复杂性语言度量标准，不容易转化为手语分析。另一方面，与语音信号（仅是时间）相比，手语信号的高维（空间和时间）使物理信号度量的比较变得复杂。在这里，我们回顾了基于语言和物理数据的各种操作化手语复杂性的方法，并确定了允许在视觉领域对数据进行高保真建模的方法，同时捕获手语信号的语言相关特征。
Sign languages are human communication systems that are equivalent to spoken language in their capacity for information transfer, but which use a dynamic visual signal for communication. Thus, linguistic metrics of complexity, which are typically developed for linear, symbolic linguistic representation (such as written forms of spoken languages) do not translate easily into sign language analysis. A comparison of physical signal metrics, on the other hand, is complicated by the higher dimensionality (spatial and temporal) of the sign language signal as compared to a speech signal (solely temporal). Here, we review a variety of approaches to operationalizing sign language complexity based on linguistic and physical data, and identify the approaches that allow for high fidelity modeling of the data in the visual domain, while capturing linguistically-relevant features of the sign language signal.