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May the force be with you: Force-aligned signwriting for automatic subunit annotation of corpora., , and . FG, page 1-6. IEEE Computer Society, (2013)Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data is Continuous and Weakly Labelled., , and . CVPR, page 3793-3802. IEEE Computer Society, (2016)Improving Continuous Sign Language Recognition: Speech Recognition Techniques and System Design., , , , and . SLPAT, page 41-46. Association for Computational Linguistics, (2013)Towards large vocabulary continuous sign language recognition: from artificial to real-life tasks.. RWTH Aachen University, Germany, (2020)Multi-channel Transformers for Multi-articulatory Sign Language Translation., , , and . ECCV Workshops (4), volume 12538 of Lecture Notes in Computer Science, page 301-319. Springer, (2020)RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus., , , , , , and . LREC, page 3785-3789. European Language Resources Association (ELRA), (2012)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)MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language., and . BMVC, page 100. BMVA Press, (2019)Clean Text and Full-Body Transformer: Microsoft's Submission to the WMT22 Shared Task on Sign Language Translation., , , and . WMT, page 969-976. Association for Computational Linguistics, (2022)Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation., , , and . CVPR, page 10020-10030. Computer Vision Foundation / IEEE, (2020)