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[null,"1.","Record Nr.",null,"UNINA9910906298703321"]
[null,null,"Titolo",null,"Sign Language Machine Translation / / edited by Andy Way, Lorraine Leeson, Dimitar Shterionov"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9783031473623"]
[{"$nulls":4},"3031473620"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (363 pages)"]
[null,null,"Collana",null,"Machine Translation: Technologies and Applications, , 2522-803X ; ; 5"]
[null,null,"Disciplina",null,"419"]
[null,null,"Soggetti",null,"Translating and interpreting"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Applied linguistics"]
[{"$nulls":4},"People with disabilities - Education"]
[{"$nulls":4},"Signal processing"]
[{"$nulls":4},"Inclusive education"]
[{"$nulls":4},"Language Translation"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Applied Linguistics"]
[{"$nulls":4},"Education and Disability"]
[{"$nulls":4},"Signal, Speech and Image Processing"]
[{"$nulls":4},"Inclusive Education"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"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 "]
[{"$nulls":4},"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."]
[null,null,null,"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."]