@inproceedings{jahn:22035:sign-lang:lrec, author = {Jahn, Elena and Khan, Calvin and Herrmann, Annika}, title = {Outreach and Science Communication in the {DGS-Korpus} Project: Accessibility of Data and the Benefit of Interactive Exchange between Communities}, pages = {80--87}, editor = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Kristoffersen, Jette and Mesch, Johanna and Schulder, Marc}, booktitle = {Proceedings of the {LREC2022} 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources}, maintitle = {13th International Conference on Language Resources and Evaluation ({LREC} 2022)}, publisher = {{European Language Resources Association (ELRA)}}, address = {Marseille, France}, day = {25}, month = jun, year = {2022}, isbn = {979-10-95546-86-3}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/22035.html}, doi = {10.63317/3h8br8qvxixg}, abstract = {In this paper, we tackle the issues of science communication and dissemination within a sign language corpus project with a focus on spreading accessible information and involving the D/deaf community on various levels. We will discuss successful examples, challenges, and limitations to public relations in such a project and particularly elaborate on use cases. The focus group is presented as a best-practice example of a what we think is a necessary perspective: taking external knowledge seriously and let community experts interact with and provide feedback on a par with academic personnel. Showing both social media and on-site events, we present some exemplary approaches from our team involved in public relations.} } @inproceedings{hanke:20016:sign-lang:lrec, author = {Hanke, Thomas and Schulder, Marc and Konrad, Reiner and Jahn, Elena}, title = {Extending the {Public} {DGS} {Corpus} in Size and Depth}, pages = {75--82}, editor = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Kristoffersen, Jette and Mesch, Johanna}, booktitle = {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}, maintitle = {12th International Conference on Language Resources and Evaluation ({LREC} 2020)}, publisher = {{European Language Resources Association (ELRA)}}, address = {Marseille, France}, day = {16}, month = may, year = {2020}, isbn = {979-10-95546-54-2}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/20016.html}, doi = {10.63317/2ajntiuu3dxv}, abstract = {In 2018 the DGS-Korpus project published the first full release of the Public DGS Corpus. This event marked a change of focus for the project. While before most attention had been on increasing the size of the corpus, now an increase in its depth became the priority. New data formats were added, corpus annotation conventions were released and OpenPose pose information was published for all transcripts. The community and research portal websites of the corpus also received upgrades, including persistent identifiers, archival copies of previous releases and improvements to their usability on mobile devices.The research portal was enhanced even further, improving its transcript web viewer, adding a KWIC concordance view, introducing cross-references to other linguistic resources of DGS and making its entire interface available in German in addition to English. This article provides an overview of these changes, chronicling the evolution of the Public DGS Corpus from its first release in 2018, through its second release in 2019 until its third release in 2020.} } @inproceedings{hanke:20030:sign-lang:lrec, author = {Hanke, Thomas and Jahn, Elena and W{\"a}hl, Sabrina and B{\"o}se, Oliver and K{\"o}nig, Lutz}, title = {{SignHunter} -- A Sign Elicitation Tool Suitable for Deaf Events}, pages = {83--88}, editor = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Kristoffersen, Jette and Mesch, Johanna}, booktitle = {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}, maintitle = {12th International Conference on Language Resources and Evaluation ({LREC} 2020)}, publisher = {{European Language Resources Association (ELRA)}}, address = {Marseille, France}, day = {16}, month = may, year = {2020}, isbn = {979-10-95546-54-2}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/20030.html}, doi = {10.63317/2s9zd465t94t}, abstract = {This paper presents SignHunter, a tool for collecting isolated signs, and discusses application possibilities. SignHunter is successfully used within the DGS-Korpus project to collect name signs for places and cities. The data adds to the content of a German Sign Language (DGS) -- German dictionary which is currently being developed, as well as a freely accessible subset of the DGS Corpus, the Public DGS Corpus. We discuss reasons to complement a natural language corpus by eliciting concepts without context and present an application example of SignHunter.} } @inproceedings{jahn:18018:sign-lang:lrec, author = {Jahn, Elena and Konrad, Reiner and Langer, Gabriele and Wagner, Sven and Hanke, Thomas}, title = {Publishing {DGS} {Corpus} Data: Different Formats for Different Needs}, pages = {83--90}, editor = {Bono, Mayumi and Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Kristoffersen, Jette and Mesch, Johanna and Osugi, Yutaka}, booktitle = {Proceedings of the {LREC2018} 8th Workshop on the Representation and Processing of Sign Languages: Involving the Language Community}, maintitle = {11th International Conference on Language Resources and Evaluation ({LREC} 2018)}, publisher = {{European Language Resources Association (ELRA)}}, address = {Miyazaki, Japan}, day = {12}, month = may, year = {2018}, isbn = {979-10-95546-01-6}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/18018.html}, abstract = {In 2010-2012, the DGS-Korpus project collected a large corpus of German Sign Language (DGS). Now, a substantial subset of the data is published, namely the Public DGS Corpus. We describe the considerations and decisions taken regarding what part of the data is to be made public, the necessary quality assurance measures to the data preparation as well as the formats of the published data. The corpus is published in three different ways in order to fulfil the needs of a variety of different users. First of all, the data is made available to the language community whose members allowed us to share their recorded language. In addition, we hope that a large number of non-scientific users with various backgrounds will find the data useful. Last but not least, we aim to make the data attractive for users with a scientific background and provide the possibility to conduct studies based on it, irrespective of whether they are familiar with DGS or not.} } @inproceedings{wolfe:18023:sign-lang:lrec, author = {Wolfe, Rosalee and Hanke, Thomas and Langer, Gabriele and Jahn, Elena and Worseck, Satu and Bleicken, Julian and McDonald, John C. and Johnson, Sarah}, title = {Exploring Localization for Mouthings in Sign Language Avatars}, pages = {207--212}, editor = {Bono, Mayumi and Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Kristoffersen, Jette and Mesch, Johanna and Osugi, Yutaka}, booktitle = {Proceedings of the {LREC2018} 8th Workshop on the Representation and Processing of Sign Languages: Involving the Language Community}, maintitle = {11th International Conference on Language Resources and Evaluation ({LREC} 2018)}, publisher = {{European Language Resources Association (ELRA)}}, address = {Miyazaki, Japan}, day = {12}, month = may, year = {2018}, isbn = {979-10-95546-01-6}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/18023.html}, abstract = {According to the World Wide Web Consortium (W3C), localization is ``the adaptation of a product, application or document content to meet the language, cultural and other requirements of a specific target market''. One requirement necessary for localizing a sign language avatar is creating a capability to produce convincing mouthing. For purposes of this inquiry we make a distinction between mouthings and mouth gesture. The term `mouthings' refers to mouth movements derived from words of a spoken language whereas `mouth gesture' refers to mouth movements not derived from a spoken language. This effort focuses on the former. The prevalence of mouthings varies across different sign languages and individual signers. Although mouthings occur regularly in most sign languages, their significance and status have been a matter of sometimes heated discussions among sign linguists. However, no matter the theoretical viewpoint one takes on the issue of mouthing, one must acknowledge that for most if not all sign languages, mouthings do occur. If an avatar purports to fully and naturally express any sign language, it must have the capacity to express all aspects of the language, which likely will include mouthings. Although most avatar systems were created for hearing communities, several technologies have emerged to improve speech recognition for those who are hard-of-hearing or who find themselves in noisy environments. These were not satisfactory for Deaf communities as they did not portray sign language. Initial efforts to incorporate mouthing in sign language avatars utilized a mouth picture or viseme for each letter of the International Phonetic Alphabet (IPA), but were hampered by a reliance on blend shapes. Muscle-based avatars have the advantage of avoiding the limitations of blend shapes. This paper reports on a first step to identify the requirements for extending a muscle-based avatar to incorporate mouthings in multiple sign languages.} }