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Sign language machine translation

Record Type:	Electronic resources : Monograph/item
Title/Author:	Sign language machine translation/ edited by Andy Way, Lorraine Leeson, Dimitar Shterionov.
other author:	Way, Andy.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xxi, 348 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Applied Linguistics. -
Online resource:	https://doi.org/10.1007/978-3-031-47362-3
ISBN:	9783031473623

Sign language machine translation
Sign language machine translation[electronic resource] /edited by Andy Way, Lorraine Leeson, Dimitar Shterionov. - Cham :Springer Nature Switzerland :2024. - xxi, 348 p. :ill., digital ;24 cm. - Machine translation: technologies and applications,v. 52522-803X ;. - Machine translation: technologies and applications ;v. 5..

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.

ISBN: 9783031473623

Standard No.: 10.1007/978-3-031-47362-3doiSubjects--Topical Terms:

896965
Applied Linguistics.

LC Class. No.: P117

Dewey Class. No.: 419.0285

Sign language machine translation
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520 $a 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.
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