Evidence map›Paper›PMID 33575986›Full record

ArticleBehavior research methods2021

Psycholinguistic norms for more than 300 lexical signs in German Sign Language (DGS).

Patrick C Trettenbrein, Nina-Kristin Pendzich, Jens-Michael Cramer, Markus Steinbach, Emiliano Zaccarella

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In one paragraph

Article in Behavior research methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Patrick C Trettenbrein *Department of Neuropsychology, Max Planck Institute for Human Cognitive & Brain Sciences, Stephanstraße 1a, Leipzig, 04103, Germany. trettenbrein@cbs.mpg.de.ORCID 0000-0003-2233-6720
Nina-Kristin Pendzich *SignLab, Department of German Philology, Georg-August-University, Käte-Hamburger-Weg 3, Göttingen, 37073, Germany.ORCID 0000-0001-8560-9496
Jens-Michael CramerSignLab, Department of German Philology, Georg-August-University, Käte-Hamburger-Weg 3, Göttingen, 37073, Germany.
Markus SteinbachSignLab, Department of German Philology, Georg-August-University, Käte-Hamburger-Weg 3, Göttingen, 37073, Germany.ORCID 0000-0002-0870-1915
Emiliano ZaccarellaDepartment of Neuropsychology, Max Planck Institute for Human Cognitive & Brain Sciences, Stephanstraße 1a, Leipzig, 04103, Germany.ORCID 0000-0002-5703-1778

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

PsycholinguisticsSign LanguageHumansLanguageLinguisticsSemanticsAge of acquisitionGerman Sign LanguageIconicityLexical frequencySubjective ratingsTransparencyVisuo-spatial modality

Identifiers

PMID33575986
PMCPMC8516755

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.