Abstract
The new 3D motion capture data corpus expands the portfolio of existing language resources by a corpus of 18 hours of Czech sign language. This helps alleviate the current problem, which is a critical lack of quality data necessary for research and subsequent deployment of machine learning techniques in this area. We currently provide the largest collection of annotated sign language recordings acquired by state-of-the-art 3D human body recording technology for the successful future deployment of communication technologies, especially machine translation and sign language synthesis.
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Krňoul, Z., Jedlička, P., Železný, M., Müller, L. (2023). Motion Capture 3D Sign Language Resources. In: Rehm, G. (eds) European Language Grid. Cognitive Technologies. Springer, Cham. https://doi.org/10.1007/978-3-031-17258-8_21
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DOI: https://doi.org/10.1007/978-3-031-17258-8_21
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-031-17258-8
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