1. Sign Language Machine Translation
- Author
-
Andy Way, Lorraine Leeson, Dimitar Shterionov, Andy Way, Lorraine Leeson, and Dimitar Shterionov
- Subjects
- Translating and interpreting, Machine learning, Applied linguistics, People with disabilities—Education, Signal processing, Inclusive education
- Abstract
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.
- Published
- 2024