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Findings of the 2019 Conference on Machine Translation (WMT19)., , , , , , , , , and 5 other author(s). WMT (2), page 1-61. Association for Computational Linguistics, (2019)Exploring Big Data Landscapes with Elastic Displays., , , , and . MuC (Workshopband), Gesellschaft für Informatik e.V., (2017)Elastische Displays im Einsatz., , and . MuC (Workshopband), Gesellschaft für Informatik e.V., (2016)First WMT Shared Task on Sign Language Translation (WMT-SLT22)., , , , , , , , , and 10 other author(s). EAMT, page 507-508. European Association for Machine Translation, (2023)Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition., , , , , , , , and . CVPR Workshops, page 3434-3440. Computer Vision Foundation / IEEE, (2021)Domain Robustness in Neural Machine Translation., , and . AMTA, page 151-164. Association for Machine Translation in the Americas, (2020)Virtual Reality for Fire Evacuation Research., , , , , , and . FedCSIS, volume 2 of Annals of Computer Science and Information Systems, page 313-321. (2014)ReFlex Framework: Rapid Prototyping for Elastic Displays., , , , and . AVI, page 57:1-57:3. ACM, (2022)JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language Processing., , , and . EMNLP (Findings), page 9907-9927. Association for Computational Linguistics, (2023)Linguistically Motivated Sign Language Segmentation., , , , and . EMNLP (Findings), page 12703-12724. Association for Computational Linguistics, (2023)