Department of Neuropsychology, Max Planck Institute for Human Cognitive & Brain Sciences, Stephanstraße 1a, Leipzig, 04103, Germany.
International Max Planck Research School on Neuroscience of Communication: Structure, Function, & Plasticity (IMPRS NeuroCom), Stephanstraße 1a, Leipzig, 04103, Germany.
Behav Res Methods. 2021 Oct;53(5):1817-1832. doi: 10.3758/s13428-020-01524-y. Epub 2021 Feb 11.
Sign language offers a unique perspective on the human faculty of language by illustrating that linguistic abilities are not bound to speech and writing. In studies of spoken and written language processing, lexical variables such as, for example, age of acquisition have been found to play an important role, but such information is not as yet available for German Sign Language (Deutsche Gebärdensprache, DGS). Here, we present a set of norms for frequency, age of acquisition, and iconicity for more than 300 lexical DGS signs, derived from subjective ratings by 32 deaf signers. We also provide additional norms for iconicity and transparency for the same set of signs derived from ratings by 30 hearing non-signers. In addition to empirical norming data, the dataset includes machine-readable information about a sign's correspondence in German and English, as well as annotations of lexico-semantic and phonological properties: one-handed vs. two-handed, place of articulation, most likely lexical class, animacy, verb type, (potential) homonymy, and potential dialectal variation. Finally, we include information about sign onset and offset for all stimulus clips from automated motion-tracking data. All norms, stimulus clips, data, as well as code used for analysis are made available through the Open Science Framework in the hope that they may prove to be useful to other researchers: https://doi.org/10.17605/OSF.IO/MZ8J4.
手语通过说明语言能力不仅限于言语和书写,为人类的语言能力提供了独特的视角。在口语和书面语处理的研究中,已经发现词汇变量(例如习得年龄)起着重要作用,但德国手语(Deutsche Gebärdensprache,DGS)中尚未提供此类信息。在这里,我们提供了 300 多个词汇 DGS 符号的频率、习得年龄和象似性的一套规范,这些规范来自 32 名聋人签名者的主观评分。我们还为同一组符号提供了来自 30 名听力非签名者的评分的象似性和透明度的额外规范。除了经验规范数据外,该数据集还包括有关符号在德语和英语中的对应关系的机器可读信息,以及词汇语义和语音属性的注释:单手与双手、发音部位、最可能的词汇类别、生物性、动词类型、(潜在)同音异义词和潜在的方言差异。最后,我们包括了所有刺激剪辑的自动运动跟踪数据的起始和结束时间信息。所有规范、刺激剪辑、数据以及用于分析的代码都通过开放科学框架提供,希望它们能对其他研究人员有用:https://doi.org/10.17605/OSF.IO/MZ8J4。