Marc Schulder
Marc Schulder
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EASIER Notation – A Proposal for a Gloss-based Scripting Language for Sign Language Generation Based on Lexical Data
This article is ©2023 IEEE. I recommend using the accepted version of the paper, which is open access. For the closed access published version follow the URL in the citation below, but note that most hyperlinks have been broken in that version.
Thomas Hanke
,
Lutz König
,
Reiner Konrad
,
Maria Kopf
,
Marc Schulder
,
Rosalee Wolfe
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Poster
DOI
The Sign Language Interchange Format: Harmonising Sign Language Datasets for Computational Processing
This article is ©2023 IEEE. I recommend using the accepted version of the paper, which is open access. For the closed access published version follow the URL in the citation below, but note that most hyperlinks have been broken in that version.
Marc Schulder
,
Sam Bigeard
,
Thomas Hanke
,
Maria Kopf
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Poster
DOI
Deutsche Gebärdensprache zugänglich und nutzbar machen: Das Öffentliche DGS-Korpus und das Digitale Wörterbuch der Deutschen Gebärdensprache
This article is only available in German. Abstract Das DGS-Korpus-Projekt erstellt ein Referenzkorpus der Deutschen Gebärdensprache (DGS) und macht mit dem Öffentlichen DGS-Korpus und dem korpusbasierten Wörterbuch der DGS diese Sprache in ihrer Vielfalt öffentlich zugänglich.
Reiner Konrad
,
Julian Bleicken
,
Calvin Khan
,
Amy Isard
,
Gabriele Langer
,
Anke Müller
,
Marc Schulder
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DOI
Facilitating the Spread of New Sign Language Technologies across Europe
Abstract For developing sign language technologies like automatic translation, huge amounts of training data are required. Even the larger corpora available for some sign languages are tiny compared to the amounts of data used for corresponding spoken language technologies.
Crasborn, Onno
,
Kopf, Maria
,
Marc Schulder
,
Hanke, Thomas
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Poster
Introducing Sign Languages to a Multilingual Wordnet: Bootstrapping Corpora and Lexical Resources of Greek Sign Language and German Sign Language
Abstract Wordnets have been a popular lexical resource type for many years. Their sense-based representation of lexical items and numerous relation structures have been used for a variety of computational and linguistic applications.
Bigeard, Sam
,
Marc Schulder
,
Kopf, Maria
,
Hanke, Thomas
,
Vasilaki, Kyriaki
,
Vacalopoulou, Anna
,
Goulas, Theodore
,
Dimou, Athanasia-Lida
,
Fotinea, Stavroula-Evita
,
Efthimiou, Eleni
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Poster
The Sign Language Dataset Compendium: Creating an Overview of Digital Linguistic Resources
Abstract One of the challenges that sign language researchers face is the identification of suitable language datasets, particularly for cross-lingual studies. There is no single source of information on what sign language corpora and lexical resources exist or how they compare.
Kopf, Maria
,
Marc Schulder
,
Hanke, Thomas
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Project
Poster
How to be FAIR when you CARE: The DGS Corpus as a Case Study of Open Science Resources for Minority Languages
Article and video presentation on how the DGS Corpus implement ethical open data practices.
Marc Schulder
,
Hanke, Thomas
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Poster
Video
Collocations in Sign Language Lexicography: Towards Semantic Abstractions for Word Sense Discrimination
Abstract In general monolingual lexicography a corpus-based approach to word sense discrimination (WSD) is the current standard. Automatically generated lexical profiles such as Word Sketches provide an overview on typical uses in the form of collocate lists grouped by their part of speech categories and their syntactic dependency relations to the base item.
Gabriele Langer
,
Marc Schulder
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Poster
Extending the Public DGS Corpus in Size and Depth
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.
Thomas Hanke
,
Marc Schulder
,
Reiner Konrad
,
Elena Jahn
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Poster
ATC-Anno: Semantic Annotation for Air Traffic Control with Assistive Auto-Annotation
Abstract In air traffic control, assistant systems support air traffic controllers in their work. To improve the reactivity and accuracy of the assistant, automatic speech recognition can monitor the commands uttered by the controller.
Marc Schulder
,
Johannah O'Mahony
,
Yury Bakanouski
,
Dietrich Klakow
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