@inproceedings{isard:24053:sign-lang:lrec,
  author    = {Isard, Amy},
  title     = {Building Your Query Step by Step: A Query Wizard for the {MY} {DGS} -- {ANNIS} Portal of the {DGS} {Corpus}},
  pages     = {131--139},
  editor    = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Mesch, Johanna and Schulder, Marc},
  booktitle = {Proceedings of the {LREC-COLING} 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources},
  maintitle = {2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation ({LREC-COLING} 2024)},
  publisher = {{ELRA Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL)}},
  address   = {Torino, Italy},
  day       = {25},
  month     = may,
  year      = {2024},
  isbn      = {978-2-493814-30-2},
  language  = {english},
  url       = {https://www.sign-lang.uni-hamburg.de/lrec/pub/24053.html},
  abstract  = {MY DGS -- ANNIS makes the Public DGS Corpus available through the corpus query and visualization tool ANNIS. Due to the complex nature of the corpus, composing queries for advanced research questions can quickly become increasingly complicated. We present a Query Wizard which assists users in building valid queries for MY DGS -- ANNIS. Complex queries are built up from smaller blocks, which can be linked to each other through context-sensitive connections. Blocks provide options specific to a given annotation tier and dynamically lead users through their construction while preventing the creation of invalid queries. Once completed, queries can be opened directly in MY DGS -- ANNIS.}
}

@inproceedings{konrad:24050:sign-lang:lrec,
  author    = {Konrad, Reiner and Hanke, Thomas and Isard, Amy and Schulder, Marc and K{\"o}nig, Lutz and Bleicken, Julian and B{\"o}se, Oliver},
  title     = {Corpus {\`a} la carte -- Improving Access to the {Public} {DGS} {Corpus}},
  pages     = {184--193},
  editor    = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Mesch, Johanna and Schulder, Marc},
  booktitle = {Proceedings of the {LREC-COLING} 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources},
  maintitle = {2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation ({LREC-COLING} 2024)},
  publisher = {{ELRA Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL)}},
  address   = {Torino, Italy},
  day       = {25},
  month     = may,
  year      = {2024},
  isbn      = {978-2-493814-30-2},
  language  = {english},
  url       = {https://www.sign-lang.uni-hamburg.de/lrec/pub/24050.html},
  abstract  = {This article presents the fourth release of the Public DGS Corpus, a large corpus of German Sign Language (DGS). Since its first release in 2018, the Public DGS Corpus has provided its content through multiple portals to meet the needs of different user groups. Having started with a community portal and a research portal for general data access, the ANNIS portal for dynamic web-based exploration of the corpus was added in 2022. With this latest release, a fourth portal is added to allow sign language linguists to access the public corpus directly through the annotation software iLex. Furthermore, search capabilities and interconnectedness between the portals are strongly improved, allowing users to move between portals to combine their strengths. Additional improvements to the corpus include additional recordings, new pose information models, improved HamNoSys, enhanced type information and web interface revisions.}
}

@inproceedings{isard:22034:sign-lang:lrec,
  author    = {Isard, Amy and Konrad, Reiner},
  title     = {{MY} {DGS} -- {ANNIS}: {ANNIS} and the {Public} {DGS} {Corpus}},
  pages     = {73--79},
  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/22034.html},
  abstract  = {In 2018 the DGS-Korpus project published the first full release of the Public DGS Corpus. The data have already been published in two different ways to fulfil the needs of different user groups, and we have now published the third portal MY DGS -- ANNIS using the ANNIS browser-based corpus software. ANNIS is a corpus query tool for visualization and querying of multi-layer corpus data. It has its own query language, AQL, and is accessed from a web browser without requiring a login. It allows more complex queries and visualizations than those provided by the existing research portal. We introduce ANNIS and its query language AQL, describe the structure of MY DGS -- ANNIS, and give some example queries. The use cases with queries over multiple annotation tiers and metadata illustrate the research potential of this powerful tool and show how students and researchers can explore the Public DGS Corpus.}
}