no code implementations • LREC 2016 • Julian Bleicken, Thomas Hanke, Uta Salden, Sven Wagner
For publishing sign language corpus data on the web, anonymization is crucial even if it is impossible to hide the visual appearance of the signers: In a small community, even vague references to third persons may be enough to identify those persons.
no code implementations • LREC 2020 • Thomas Hanke, Marc Schulder, Reiner Konrad, Elena Jahn
In 2018 the DGS-Korpus project published the first full release of the Public DGS Corpus.
no code implementations • LREC 2020 • Thomas Hanke, Elena Jahn, Sabrina W{\"a}hl, Oliver B{\"o}se, Lutz K{\"o}nig
This paper presents SignHunter, a tool for collecting isolated signs, and discusses application possibilities.
no code implementations • LREC 2020 • Anke M{\"u}ller, Thomas Hanke, Reiner Konrad, Gabriele Langer, Sabrina W{\"a}hl
The Public DGS Corpus is published in two different formats, that is subtitled videos for lay persons and lemmatized and annotated transcripts and videos for experts.
no code implementations • MTSummit 2021 • John C. McDonald, Rosalee Wolfe, Eleni Efthimiou, Evita Fontinea, Frankie Picron, Davy Van Landuyt, Tina Sioen, Annelies Braffort, Michael Filhol, Sarah Ebling, Thomas Hanke, Verena Krausneker
Development of automatic translation between signed and spoken languages has lagged behind the development of automatic translation between spoken languages, but it is a common misperception that extending machine translation techniques to include signed languages should be a straightforward process.
no code implementations • LREC 2022 • Marc Schulder, Thomas Hanke
The publication of resources for minority languages requires a balance between making data open and accessible and respecting the rights and needs of its language community.
no code implementations • SignLang (LREC) 2022 • Sam Bigeard, Marc Schulder, Maria Kopf, Thomas Hanke, Kyriaki Vasilaki, Anna Vacalopoulou, Theodore Goulas, Athanasia-Lida Dimou, Stavroula-Evita Fotinea, Eleni Efthimiou
Research has also been carried out into the creation of wordnets for several sign languages, but none have yet resulted in publicly available datasets.
no code implementations • SignLang (LREC) 2022 • Maria Kopf, Marc Schulder, Thomas Hanke
There is no single source of information on what sign language corpora and lexical resources exist or how they compare.
no code implementations • SignLang (LREC) 2022 • Hope Morgan, Onno Crasborn, Maria Kopf, Marc Schulder, Thomas Hanke
Even the larger corpora available for some sign languages are tiny compared to the amounts of data used for corresponding spoken language technologies.