Defining meaningful units: challenges in sign segmentation and segment-meaning mapping

Autor/a: DE SISTO, Mirella; SHTERIONOV, Dimitar; MURTAGH, Irene; VERMEERBERGEN, Myriam; LEESON, Lorraine
Año: 2021
Editorial: Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL)
Tipo de código: Copyright
Soporte: Digital


Medios de comunicación y acceso a la información » Nuevas Tecnologías, Traducción e Interpretación, Lingüística » Lingüística de otras Lenguas de Signos


This paper addresses the tasks of sign segmentation and segment-meaning mapping in the con- text of sign language (SL) recognition. It aims to give an overview of the linguistic properties of SL, such as coarticulation and simultaneity, which make these tasks complex. A better understanding of SL structure is the necessary ground for the design and development of SL recognition and segmentation methodologies, which are fundamental for machine translation of these languages. Based on this preliminary exploration, a proposal for mapping segments to meaning in the form of an agglomerate of lexical and non-lexical information is introduced.