LEADER 04573nam 22007695 450 001 9910906298703321 005 20250808083403.0 010 $a9783031473623 010 $a3031473620 024 7 $a10.1007/978-3-031-47362-3 035 $a(CKB)36549224100041 035 $a(MiAaPQ)EBC31776489 035 $a(Au-PeEL)EBL31776489 035 $a(DE-He213)978-3-031-47362-3 035 $a(EXLCZ)9936549224100041 100 $a20241111d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSign Language Machine Translation /$fedited by Andy Way, Lorraine Leeson, Dimitar Shterionov 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (363 pages) 225 1 $aMachine Translation: Technologies and Applications,$x2522-803X ;$v5 311 08$a9783031473616 311 08$a3031473612 320 $aIncludes bibliographical references and index. 327 $aChapter 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. 330 $aThis book, for the first time, collects important current topics in the area of sign language translation in a single volume. The topic is introduced more generally to benefit newcomers to the field before diving into the current state-of-the-art methods of Sign Language Machine Translation (SLMT), together with an in-depth description of issues specific to this topic, including: an introduction to and historical overview of SLMT; ethical issues related to the engagement of and with deaf users; the importance of data; the sign languages of Europe; sign language recognition and synthesis, including via avatars; data-driven and linguistically-informed models of SLMT; gloss translation; fingerspelling; SLMT communication; and SLMT in practice. Of interest to MT developers and users as well as people working in deaf studies, this volume presents cutting-edge research on machine translation in the field of deaf studies. 410 0$aMachine Translation: Technologies and Applications,$x2522-803X ;$v5 606 $aTranslating and interpreting 606 $aMachine learning 606 $aApplied linguistics 606 $aPeople with disabilities$xEducation 606 $aSignal processing 606 $aInclusive education 606 $aLanguage Translation 606 $aMachine Learning 606 $aApplied Linguistics 606 $aEducation and Disability 606 $aSignal, Speech and Image Processing 606 $aInclusive Education 615 0$aTranslating and interpreting. 615 0$aMachine learning. 615 0$aApplied linguistics. 615 0$aPeople with disabilities$xEducation. 615 0$aSignal processing. 615 0$aInclusive education. 615 14$aLanguage Translation. 615 24$aMachine Learning. 615 24$aApplied Linguistics. 615 24$aEducation and Disability. 615 24$aSignal, Speech and Image Processing. 615 24$aInclusive Education. 676 $a419 702 $aWay$b Andy 702 $aLeeson$b Lorraine 702 $aShterionov$b Dimitar 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910906298703321 996 $aSign Language Machine Translation$94327830 997 $aUNINA