Sign Language Machine Translation

Autor/a: WAY, Andy; LEESON, Lorraine; SHTERIONOV, Dimitar
Año: 2024
Editorial: Springer
Tipo de código: Copyright
Soporte: Digital

Temas

Medios de comunicación y acceso a la información » Nuevas Tecnologías

Detalles

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.

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