04241nam a22005535i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001300153072001600166072002300182072001500205245012100220250001800341264006900359300006500428336002600493337002600519338003600545347002400581490007200605505121900677520093301896650003402829650002202863650002502885650004102910650002302951650002502974650002602999650002203025650002503047650003003072650004103102650002503143700007203168700007903240700008203319710003403401773002603435776003603461776003603497776003603533830007203569856004603641978-3-031-47362-3DE-He21320251030113306.0cr nn 008mamaa241111s2024    sz |    s    |||| 0|eng d  a97830314736237 a10.1007/978-3-031-47362-32doi 4aP306-310 7aCFP2bicssc 7aLAN0230002bisacsh 7aCFP2thema10aSign Language Machine Translationh[electronic resource] /cedited by Andy Way, Lorraine Leeson, Dimitar Shterionov.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXXI, 348 p. 74 illus., 40 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aMachine Translation: Technologies and Applications,x2522-803X ;v50 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.  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. 0aTranslating and interpreting. 0aMachine learning. 0aApplied linguistics. 0aPeople with disabilitiesxEducation. 0aSignal processing. 0aInclusive education.14aLanguage Translation.24aMachine Learning.24aApplied Linguistics.24aEducation and Disability.24aSignal, Speech and Image Processing.24aInclusive Education.1 aWay, Andy.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aLeeson, Lorraine.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aShterionov, Dimitar.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303147361608iPrinted edition:z978303147363008iPrinted edition:z9783031473647 0aMachine Translation: Technologies and Applications,x2522-803X ;v540uhttps://doi.org/10.1007/978-3-031-47362-3