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Towards large vocabulary continuous sign language recognition: from artificial to real-life tasks.

. RWTH Aachen University, Germany, (2020)

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Quantitative Survey of the State of the Art in Sign Language Recognition.. CoRR, (2020)RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus., , , , , , and . LREC, page 3785-3789. European Language Resources Association (ELRA), (2012)The FATE Landscape of Sign Language AI Datasets: An Interdisciplinary Perspective., , , , , , , , and . ACM Trans. Access. Comput., 14 (2): 7:1-7:45 (2021)Improving Continuous Sign Language Recognition: Speech Recognition Techniques and System Design., , , , and . SLPAT, page 41-46. Association for Computational Linguistics, (2013)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)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)Deep Sign: Enabling Robust Statistical Continuous Sign Language Recognition via Hybrid CNN-HMMs., , , and . Int. J. Comput. Vis., 126 (12): 1311-1325 (2018)MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language., and . CoRR, (2018)