@inproceedings{rathmann:24002:sign-lang:lrec,
  author    = {Rathmann, Christian and Quadros, Ronice M{\"u}ller de and Gei{\ss}ler, Thomas and Peters, Christian and Fernandes, Francisco and Loio, Milene Peixer and Fran{\c c}a, Diego},
  title     = {{VisuoLab}: Building a sign language multilingual, multimodal and multifunctional platform},
  pages     = {282--289},
  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/24002.html},
  doi       = {10.63317/59o9d9e78s5j},
  abstract  = {VisuoLab is a multifunctional, multimodal and multilingual platform designed for sign language communities. This platform is based on web accessibility and usability, and is specifically designed in a visual way. All resources are organized to be available in sign languages and written languages for different purposes: to provide materials related to and in sign languages, to produce materials (such as papers, video books, teaching materials that include signing production), to teach with signing tools, to interpret and translate activities for training purposes, and to evaluate signing progress. VisuoLab is designed as an open source platform. The current stage of VisuoLab is a beta version available in the development area of Levante Lab for the platform: https://visuolab.levantelab.com.br/}
}

@inproceedings{quadros:24001:sign-lang:lrec,
  author    = {Quadros, Ronice M{\"u}ller de and Rathmann, Christian and Romanek, P{\'e}ter Zal{\'a}n and Fernandes, Francisco and Cond{\'e}, Sther},
  title     = {{Signbank} 2.0 of Sign Languages: Easy to Administer, Easy to Use, Easy to Share},
  pages     = {302--314},
  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/24001.html},
  doi       = {10.63317/4niw9buxjpvu},
  abstract  = {Signbank 2.0 integrates sign language documentation to identify signs with their specifications in the context of a large sign language corpus. Signbank 2.0 is inspired by Global Signbank, especially with respect to the integration of the general linguistic structure, and by developments from the earlier Libras Sign Identification platform, with search systems organized by sign language parameters. The current proposal presents several advances, especially regarding the administration panel with a simple dashboard. In addition, the current Signbank 2.0 implements [and at least one more instance] more sophisticated search systems from a linguistic and technological point of view. The tools developed include more possibilities for sign searches categorized based on linguistic and visual criteria. Finally, the search system presents the frequency of signs linked to the EAF files, listing the occurrences in the integrated corpus and giving the exact video timing of the sign.}
}