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Hits 1 – 20 of 52
1
The Curation of Language Data as a Distinct Academic Activity: A Call to Action for Researchers, Educators, Funders, and Policymakers
Weber, Tobias
In: Journal of Open Humanities Data; Vol 7 (2021); 28 ; 2059-481X (2021)
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2
Data for Cyrillic Reference Parsing ...
Shapiro, Igor
;
Saier, Tarek
;
Färber, Michael
. - : Zenodo, 2021
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3
Data for Cyrillic Reference Parsing ...
Shapiro, Igor
;
Saier, Tarek
;
Färber, Michael
. - : Zenodo, 2021
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4
Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
Meuschke, Norman
. - 2021
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5
Track to the past: tracking workflows, versions, and citations of legacy language data
Weber, Tobias
. - : University of North Texas, 2021
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6
Track to the Past: Tracking Workflows, Versions, and Citations of Legacy Language Data ; Proceedings of the 1st International Workshop on Digital Language Archives: LangArc 2021
Weber, Tobias
In: 1st International Workshop on Digital Language Archives, September 30-October 1, 2021. ; ACM/IEEE Joint Conference on Digital Libraries, September 27-30, 2021. ; Proceedings of the International Workshop on Digital Language Archives: LangArc 2021, University of North Texas, October 7, 2021, pp. 8-10 (2021)
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7
Data-driven learning in the academic writing classroom: Citation and stance
Quintana Toledo, Elena
In: LFE: Revista de lenguas para fines específicos, ISSN 1133-1127, Vol. 26, Nº 1, 2020 (Ejemplar dedicado a: Investigar en Traducción e Interpretación: Nuevos Enfoques y Perspectivas), pags. 196-213 (2020)
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8
Can Computational Meta-Documentary Linguistics Provide for Accountability and Offer an Alternative to "Reproducibility" in Linguistics?
Weber, Tobias
. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
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9
Putting practice into words: The state of data and methods transparency in grammatical descriptions
Gawne, Lauren
;
Kelly, Barbara F.
;
Berez-Kroeker, Andrea L.
. - : University of Hawaii Press, 2017
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10
Symposium & Panel Discussion: Data Citation and Attribution for Reproducible Research in Linguistics
Berez-Kroeker, Andrea L.
;
Holton, Gary
;
Kung, Susan
. - 2017
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11
Data management across academic disciplines
Hooshiar, Kavon
. - 2017
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12
Developing standards for data citation and attribution for reproducible research in linguistics: project summary and next steps
Berez-Kroeker, Andrea
;
Holton, Gary
;
Kung, Susan
. - 2017
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13
A survey of current reproducibility practices in linguistics publications
Gawne, Lauren
;
Berez-Kroeker, Andrea L.
;
Kelly, Barbara
. - 2017
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14
TROLLing: Scope and operation of an open repository for linguistic datasets
Andreassen, Helene N.
;
Conzett, Philipp
;
Høydalsvik, Stein
. - 2017
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15
The data management life cycle for linguists
Kung, Susan
;
Trelogan, Jessica
. - 2017
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16
Developing methods for reproducible research in linguistics: a first step
McDonnell, Bradley
;
Hall, Patrick
. - 2017
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17
Citation and attribution of archived data: guidelines of the Archive of the Indigenous Languages of Latin America
Kung, Susan
;
Perez Gonzalez, Jaime
. - 2017
Abstract:
Poster: Today great quantities of research data are publically available for re-use, and most academic fields are becoming aware of the need to establish recommendations for how these data should be cited so that the data creators get proper attribution for their work. To this end, AILLA has developed Citation Guidelines that provide detailed citation examples of the different hierarchical levels of AILLA's holdings, including collections (organized materials based on individual collectors), resources (materials organized around a speech event), and individual files. These Guidelines differentiate in-text and bibliographic citations. Furthermore, each collection and resource page on AILLA provides instructions for how it should be cited. In this poster, we explain AILLA's Citation Guidelines, we show how--when followed--these guidelines give appropriate credit to the various contributors of the data and allow for easy access to the data in the archive, and we demonstrate the proper implementation of these guidelines in linguistic literature. ; Today great quantities of research data are publically available for re-use, and most academic fields are becoming aware of the need to establish recommendations for how these data should be cited so that the data creators get proper attribution for their work. To this end, AILLA has developed Citation Guidelines that provide detailed citation examples of the different hierarchical levels of AILLA's holdings, including collections (organized materials based on individual collectors), resources (materials organized around a speech event), and individual files. These Guidelines differentiate in-text and bibliographic citations. Furthermore, each collection and resource page on AILLA provides instructions for how it should be cited. In this poster, we explain AILLA's Citation Guidelines, we show how--when followed--these guidelines give appropriate credit to the various contributors of the data and allow for easy access to the data in the archive, and we demonstrate the proper implementation of these guidelines in linguistic literature. ; This material is based upon work supported by the National Science Foundation under grant SMA-1447886.
Keyword:
attribution
;
data citation
;
Linguistics
URL:
http://hdl.handle.net/10125/43569
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18
Data citation, attribution, and employability
Dailey, Meagan
;
Henke, Ryan
. - 2017
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19
Questions, curiosities, and concerns: talking points for data citation and attribution
Henke, Ryan
;
Dailey, Meagan
;
Hooshiar, Kavon
. - 2017
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20
Putting practice into words: The state of data and methods transparency in grammatical descriptions
Gawne, Lauren
;
Kelly, Barbara F.
;
Berez-Kroeker, Andrea L.
. - : University of Hawaii Press, 2017
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