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

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 import...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Behavior Research Methods 2021-10, Vol.53 (5), p.1817-1832
Hauptverfasser: Trettenbrein, Patrick C., Pendzich, Nina-Kristin, Cramer, Jens-Michael, Steinbach, Markus, Zaccarella, Emiliano
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1832
container_issue 5
container_start_page 1817
container_title Behavior Research Methods
container_volume 53
creator Trettenbrein, Patrick C.
Pendzich, Nina-Kristin
Cramer, Jens-Michael
Steinbach, Markus
Zaccarella, Emiliano
description 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
doi_str_mv 10.3758/s13428-020-01524-y
format Article
fullrecord <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8516755</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A713917711</galeid><sourcerecordid>A713917711</sourcerecordid><originalsourceid>FETCH-LOGICAL-c595t-825ddb5627bead28d4d1847b141ac0dff56e1588471a033780b7ac1ef8a7ccd53</originalsourceid><addsrcrecordid>eNp9UU1vFSEUJUZja_UPuDAkbupiKheGgdmYNLU-TV6iSeuaMMDMo5mBCjON79-XOrVWF4YFcM8H93IQeg3khAku32dgNZUVoaQiwGld7Z-gQ-C8rhin8umj8wF6kfMVIUxSqJ-jA8a44K1sDtHlt7w3uzj6MCw-z97gENOUcR8TnmJyeN7pgBkheHQ_vdEjzn4IGfuANy5NBbsod7zVRa8Hh48_bi7evUTPej1m9-p-P0LfP51fnn2utl83X85Ot5XhLZ8rSbm1HW-o6Jy2VNragqxFBzVoQ2zf88YBl6UEmjAmJOmENuB6qYUxlrMj9GH1vV66yVnjwpz0qK6Tn3Taq6i9-hsJfqeGeKMkh0bwO4Pje4MUfywuz2ry2bhx1MHFJStay5Zy1simUN_-Q72KSwplPEV5-daWAcjCOllZgx6d8qGP5V1TlnWTNzG43pf6qQDWghAARUBXgUkx5-T6h-6BqLuU1ZqyKimrXymrfRG9eTz3g-R3rIXAVkIuUBhc-tPsf2xvAThUsnA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2582193118</pqid></control><display><type>article</type><title>Psycholinguistic norms for more than 300 lexical signs in German Sign Language (DGS)</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Trettenbrein, Patrick C. ; Pendzich, Nina-Kristin ; Cramer, Jens-Michael ; Steinbach, Markus ; Zaccarella, Emiliano</creator><creatorcontrib>Trettenbrein, Patrick C. ; Pendzich, Nina-Kristin ; Cramer, Jens-Michael ; Steinbach, Markus ; Zaccarella, Emiliano</creatorcontrib><description>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</description><identifier>ISSN: 1554-3528</identifier><identifier>ISSN: 1554-351X</identifier><identifier>EISSN: 1554-3528</identifier><identifier>DOI: 10.3758/s13428-020-01524-y</identifier><identifier>PMID: 33575986</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Analysis ; Behavioral Science and Psychology ; Cognitive Psychology ; Computational linguistics ; Humans ; Language ; Language processing ; Linguistics ; Natural language interfaces ; Psycholinguistics ; Psychology ; Semantics ; Sign Language</subject><ispartof>Behavior Research Methods, 2021-10, Vol.53 (5), p.1817-1832</ispartof><rights>The Author(s) 2020</rights><rights>2020. The Author(s).</rights><rights>COPYRIGHT 2021 Springer</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c595t-825ddb5627bead28d4d1847b141ac0dff56e1588471a033780b7ac1ef8a7ccd53</citedby><cites>FETCH-LOGICAL-c595t-825ddb5627bead28d4d1847b141ac0dff56e1588471a033780b7ac1ef8a7ccd53</cites><orcidid>0000-0002-0870-1915 ; 0000-0003-2233-6720 ; 0000-0001-8560-9496 ; 0000-0002-5703-1778</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.3758/s13428-020-01524-y$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.3758/s13428-020-01524-y$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33575986$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Trettenbrein, Patrick C.</creatorcontrib><creatorcontrib>Pendzich, Nina-Kristin</creatorcontrib><creatorcontrib>Cramer, Jens-Michael</creatorcontrib><creatorcontrib>Steinbach, Markus</creatorcontrib><creatorcontrib>Zaccarella, Emiliano</creatorcontrib><title>Psycholinguistic norms for more than 300 lexical signs in German Sign Language (DGS)</title><title>Behavior Research Methods</title><addtitle>Behav Res</addtitle><addtitle>Behav Res Methods</addtitle><description>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</description><subject>Analysis</subject><subject>Behavioral Science and Psychology</subject><subject>Cognitive Psychology</subject><subject>Computational linguistics</subject><subject>Humans</subject><subject>Language</subject><subject>Language processing</subject><subject>Linguistics</subject><subject>Natural language interfaces</subject><subject>Psycholinguistics</subject><subject>Psychology</subject><subject>Semantics</subject><subject>Sign Language</subject><issn>1554-3528</issn><issn>1554-351X</issn><issn>1554-3528</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><recordid>eNp9UU1vFSEUJUZja_UPuDAkbupiKheGgdmYNLU-TV6iSeuaMMDMo5mBCjON79-XOrVWF4YFcM8H93IQeg3khAku32dgNZUVoaQiwGld7Z-gQ-C8rhin8umj8wF6kfMVIUxSqJ-jA8a44K1sDtHlt7w3uzj6MCw-z97gENOUcR8TnmJyeN7pgBkheHQ_vdEjzn4IGfuANy5NBbsod7zVRa8Hh48_bi7evUTPej1m9-p-P0LfP51fnn2utl83X85Ot5XhLZ8rSbm1HW-o6Jy2VNragqxFBzVoQ2zf88YBl6UEmjAmJOmENuB6qYUxlrMj9GH1vV66yVnjwpz0qK6Tn3Taq6i9-hsJfqeGeKMkh0bwO4Pje4MUfywuz2ry2bhx1MHFJStay5Zy1simUN_-Q72KSwplPEV5-daWAcjCOllZgx6d8qGP5V1TlnWTNzG43pf6qQDWghAARUBXgUkx5-T6h-6BqLuU1ZqyKimrXymrfRG9eTz3g-R3rIXAVkIuUBhc-tPsf2xvAThUsnA</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>Trettenbrein, Patrick C.</creator><creator>Pendzich, Nina-Kristin</creator><creator>Cramer, Jens-Michael</creator><creator>Steinbach, Markus</creator><creator>Zaccarella, Emiliano</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IAO</scope><scope>4T-</scope><scope>7TK</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0870-1915</orcidid><orcidid>https://orcid.org/0000-0003-2233-6720</orcidid><orcidid>https://orcid.org/0000-0001-8560-9496</orcidid><orcidid>https://orcid.org/0000-0002-5703-1778</orcidid></search><sort><creationdate>20211001</creationdate><title>Psycholinguistic norms for more than 300 lexical signs in German Sign Language (DGS)</title><author>Trettenbrein, Patrick C. ; Pendzich, Nina-Kristin ; Cramer, Jens-Michael ; Steinbach, Markus ; Zaccarella, Emiliano</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c595t-825ddb5627bead28d4d1847b141ac0dff56e1588471a033780b7ac1ef8a7ccd53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analysis</topic><topic>Behavioral Science and Psychology</topic><topic>Cognitive Psychology</topic><topic>Computational linguistics</topic><topic>Humans</topic><topic>Language</topic><topic>Language processing</topic><topic>Linguistics</topic><topic>Natural language interfaces</topic><topic>Psycholinguistics</topic><topic>Psychology</topic><topic>Semantics</topic><topic>Sign Language</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Trettenbrein, Patrick C.</creatorcontrib><creatorcontrib>Pendzich, Nina-Kristin</creatorcontrib><creatorcontrib>Cramer, Jens-Michael</creatorcontrib><creatorcontrib>Steinbach, Markus</creatorcontrib><creatorcontrib>Zaccarella, Emiliano</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale Academic OneFile</collection><collection>Docstoc</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Behavior Research Methods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Trettenbrein, Patrick C.</au><au>Pendzich, Nina-Kristin</au><au>Cramer, Jens-Michael</au><au>Steinbach, Markus</au><au>Zaccarella, Emiliano</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Psycholinguistic norms for more than 300 lexical signs in German Sign Language (DGS)</atitle><jtitle>Behavior Research Methods</jtitle><stitle>Behav Res</stitle><addtitle>Behav Res Methods</addtitle><date>2021-10-01</date><risdate>2021</risdate><volume>53</volume><issue>5</issue><spage>1817</spage><epage>1832</epage><pages>1817-1832</pages><issn>1554-3528</issn><issn>1554-351X</issn><eissn>1554-3528</eissn><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</abstract><cop>New York</cop><pub>Springer US</pub><pmid>33575986</pmid><doi>10.3758/s13428-020-01524-y</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-0870-1915</orcidid><orcidid>https://orcid.org/0000-0003-2233-6720</orcidid><orcidid>https://orcid.org/0000-0001-8560-9496</orcidid><orcidid>https://orcid.org/0000-0002-5703-1778</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1554-3528
ispartof Behavior Research Methods, 2021-10, Vol.53 (5), p.1817-1832
issn 1554-3528
1554-351X
1554-3528
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8516755
source MEDLINE; SpringerLink Journals - AutoHoldings
subjects Analysis
Behavioral Science and Psychology
Cognitive Psychology
Computational linguistics
Humans
Language
Language processing
Linguistics
Natural language interfaces
Psycholinguistics
Psychology
Semantics
Sign Language
title Psycholinguistic norms for more than 300 lexical signs in German Sign Language (DGS)
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T16%3A33%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Psycholinguistic%20norms%20for%20more%20than%20300%20lexical%20signs%20in%20German%20Sign%20Language%20(DGS)&rft.jtitle=Behavior%20Research%20Methods&rft.au=Trettenbrein,%20Patrick%20C.&rft.date=2021-10-01&rft.volume=53&rft.issue=5&rft.spage=1817&rft.epage=1832&rft.pages=1817-1832&rft.issn=1554-3528&rft.eissn=1554-3528&rft_id=info:doi/10.3758/s13428-020-01524-y&rft_dat=%3Cgale_pubme%3EA713917711%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2582193118&rft_id=info:pmid/33575986&rft_galeid=A713917711&rfr_iscdi=true