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并不局限于言语和写作，为人类语言能力提供了独特的视角。在口语和书面语言处理的研究中，已经发现词汇变量（例如习得年龄）发挥着重要作用，但德国手语（ Deutsche Gebärdensprache ，DGS）尚未提供此类信息。在这里，我们提出了一组针对 300 多个词汇 DGS 符号的频率、习得年龄和象似性的规范，这些规范源自 32 名聋人手语者的主观评分。我们还为来自 30 位听力正常的非手语者评分的同一组标志提供了额外的象形性和透明度规范。除了经验规范数据之外，该数据集还包括有关德语和英语符号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：单手与两只手、发音位置等。词汇类别、生命力、动词类型、（潜在的）同音异义词和潜在的方言变异。最后，我们包含有关来自自动运动跟踪数据的所有刺激片段的符号开始和偏移的信息。所有规范、刺激片段、数据以及用于分析的代码均通过开放科学框架提供，希望它们对其他研究人员有用：https://doi.org/10.17605/OSF.IO /MZ8J4