Sign Language Machine Translation / / edited by Andy Way, Lorraine Leeson, Dimitar Shterionov

• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• Edizione: 1st ed. 2024.
• Descrizione fisica: 1 online resource (363 pages)
• Disciplina: 419
• Soggetto topico: Translating and interpreting; Machine learning; Applied linguistics; People with disabilities - Education; Signal processing; Inclusive education; Language Translation; Machine Learning; Applied Linguistics; Education and Disability; Signal, Speech and Image Processing; Inclusive Education
• Persona (resp. second.): WayAndy; LeesonLorraine; ShterionovDimitar
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Sign Language Machine Translation
• ISBN: 9783031473623; 3031473620
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910906298703321
• Lo trovi qui: Univ. Federico II
• Serie: Machine Translation: Technologies and Applications, . 2522-803X ; ; 5