TY  - BOOK
AU  - Way,Andy
AU  - Leeson,Lorraine
AU  - Shterionov,Dimitar
ED  - SpringerLink (Online service)
TI  - Sign Language Machine Translation
T2  - Machine Translation: Technologies and Applications,
SN  - 9783031473623
AV  - P306-310 
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Translating and interpreting
KW  - Machine learning
KW  - Applied linguistics
KW  - People with disabilities
KW  - Education
KW  - Signal processing
KW  - Inclusive education
KW  - Language Translation
KW  - Machine Learning
KW  - Applied Linguistics
KW  - Education and Disability
KW  - Signal, Speech and Image Processing
KW  - Inclusive Education
N1  - 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
N2  - This book, for the first time, collects important current topics in the area of sign language translation in a single volume. The topic is introduced more generally to benefit newcomers to the field before diving into the current state-of-the-art methods of Sign Language Machine Translation (SLMT), together with an in-depth description of issues specific to this topic, including: an introduction to and historical overview of SLMT; ethical issues related to the engagement of and with deaf users; the importance of data; the sign languages of Europe; sign language recognition and synthesis, including via avatars; data-driven and linguistically-informed models of SLMT; gloss translation; fingerspelling; SLMT communication; and SLMT in practice. Of interest to MT developers and users as well as people working in deaf studies, this volume presents cutting-edge research on machine translation in the field of deaf studies
UR  - https://doi.org/10.1007/978-3-031-47362-3
ER  -