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Learn the fundamentals of sign language processing and computational linguistics through this comprehensive lecture from the JSALT 2024 Summer School. Explore the unique linguistic properties of sign languages, including their visual-spatial modality, grammatical structures, and phonological systems that differ significantly from spoken languages. Discover how computational methods are applied to sign language recognition, translation, and generation, covering topics such as computer vision techniques for capturing hand movements, facial expressions, and body postures. Examine the challenges in developing sign language datasets, annotation schemes, and evaluation metrics for automatic sign language processing systems. Understand the cultural and accessibility implications of sign language technology, including its role in improving communication for deaf and hard-of-hearing communities. Gain insights into current research directions in sign language linguistics and natural language processing, including machine learning approaches for sign language understanding and the development of sign language avatars and synthesis systems.
