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    <titleInfo>
        <title>Approaches to the Anonymisation of Sign Language Corpora</title>
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    <name type="personal">
        <namePart type="given">Amy</namePart>
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            <title>Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives</title>
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        <name type="personal">
            <namePart type="given">Eleni</namePart>
            <namePart type="family">Efthimiou</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Stavroula-Evita</namePart>
            <namePart type="family">Fotinea</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Thomas</namePart>
            <namePart type="family">Hanke</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Julie</namePart>
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            <namePart type="family">Hochgesang</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Jette</namePart>
            <namePart type="family">Kristoffersen</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Johanna</namePart>
            <namePart type="family">Mesch</namePart>
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            <publisher>European Language Resources Association (ELRA)</publisher>
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    <abstract>In this paper we survey the state of the art for the anonymisation of sign language corpora. We begin by exploring the motivations behind anonymisation and the close connection with the issue of ethics and informed consent for corpus participants. We detail how the the names which should be anonymised can be identified. We then describe the processes which can be used to anonymise both the video and the annotations belonging to a corpus, and the variety of ways in which these can be carried out. We provide examples for all of these processes from three sign language corpora in which anonymisation of the data has been performed.</abstract>
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        <url>https://aclanthology.org/2020.signlang-1.15</url>
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        <date>2020-05</date>
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            <start>95</start>
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%0 Conference Proceedings
%T Approaches to the Anonymisation of Sign Language Corpora
%A Isard, Amy
%Y Efthimiou, Eleni
%Y Fotinea, Stavroula-Evita
%Y Hanke, Thomas
%Y Hochgesang, Julie A.
%Y Kristoffersen, Jette
%Y Mesch, Johanna
%S Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives
%D 2020
%8 May
%I European Language Resources Association (ELRA)
%C Marseille, France
%@ 979-10-95546-54-2
%G English
%F isard-2020-approaches
%X In this paper we survey the state of the art for the anonymisation of sign language corpora. We begin by exploring the motivations behind anonymisation and the close connection with the issue of ethics and informed consent for corpus participants. We detail how the the names which should be anonymised can be identified. We then describe the processes which can be used to anonymise both the video and the annotations belonging to a corpus, and the variety of ways in which these can be carried out. We provide examples for all of these processes from three sign language corpora in which anonymisation of the data has been performed.
%U https://aclanthology.org/2020.signlang-1.15
%P 95-100

Markdown (Informal)

[Approaches to the Anonymisation of Sign Language Corpora](https://aclanthology.org/2020.signlang-1.15) (Isard, SignLang 2020)

• Approaches to the Anonymisation of Sign Language Corpora (Isard, SignLang 2020)

ACL

• Amy Isard. 2020. Approaches to the Anonymisation of Sign Language Corpora. In Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives, pages 95–100, Marseille, France. European Language Resources Association (ELRA).