Sign Language Machine Translation

Chapter 1. The Pipeline of Sign Language Machine.- Chapter 2. How it Started and How it's Going: Sign-Language Machine Translation and Engagement with Deaf Communities over the past 25 years.- Chapter 3. The Importance of Including Signed Languages in Natural Language Processing.- Chapter 4. Sign Languages and Machine Translation: Challenges and Opportunities.- Chapter 5. Challenges with Sign Language Datasets.- Chapter 6. Language Resources for European Sign Languages.* Chapter 7. Sign languages as source language for machine translation: historical overview and challenges.- Chapter 8. Linguistic Processing for Sign Language Translation.- Chapter 9. Improving Sign Language Gloss Translation with Low-Resource Machine Translation Techniques.- Chapter 10. Sign Language Synthesis: Current Signing Avatar Systems and Representation.- Chapter 11. A Real-Time Collision Detection and Avoidance Algorithm for Fingerspelling Animation.- Chapter 12. Bridging the Gap: Understanding the Intersection of Deaf and Technical Perspectives on Signing Avatars.- Chapter 13. Sign Language Machine Translation Communication and Engagement. Chapter 14. (Towards) Sign Language Machine Translation in

Practice.

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• Linguagens de sinais, Braille e outras comunicações linguísticas
• Aprendizagem mecânica
• Tradução e interpretação
• O ensino de alunos com deficiência física
• Engenharia electrónica
• Processamento de sinais
• A educação inclusiva / integração

Sign Language Translation;Machine Learning;Deaf Studies;Artificial Intelligence;Technology in Education;Natural Language Processing;Computational Linguistics