The Pipeline of Sign Language Machine Translation

Autor/a: SHTERIONOV, D.; LEESON, L.; WAY, A.
Año: 2024
Editorial: Springer
Tipo de código: Copyright
Soporte: Digital

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Medios de comunicación y acceso a la información » Tecnologías

Detalles

This chapter provides a comprehensive overview of the research conducted in the dynamic field of Sign Language Machine Translation (SLMT) over the years. We dissect the SLMT process into a three-component pipeline comprising: (i) sign language recognition, which involves extracting information from input videos containing signed utterances and processing it into a suitable format for any downstream task; (ii) machine translation, the task of converting automatically, through the use of a computer system, an input sequence in one language (the source) into another language (the target) while preserving its meaning; and (iii) sign language synthesis (SLS), which entails generating signed utterances in the target sign language.

En A. Way, L. Leeson y Shterionov, D. (Eds.), Sign language machine translation, 1-25.

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