VisSE corpus of Spanish SignWriting

VisSE corpus of Spanish SignWriting

The VisSE corpus is a collection of SignWriting instances, annotated graphically and semantically to capture all the meaning, both lexical and visual, of SignWriting. The samples are handwritten, and codify signs or parts of signs from Spanish Sign Language. It also includes trained neural networks...

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Hauptverfasser: Antonio F. G. Sevilla, José María Lahoz-Bengoechea, Alberto Díaz Esteban
Format: Dataset
Sprache:eng
Schlagworte:
Graphical Language
Machine Learning
Sign Language
SignWriting
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creator Antonio F. G. Sevilla
José María Lahoz-Bengoechea
Alberto Díaz Esteban
description The VisSE corpus is a collection of SignWriting instances, annotated graphically and semantically to capture all the meaning, both lexical and visual, of SignWriting. The samples are handwritten, and codify signs or parts of signs from Spanish Sign Language. It also includes trained neural networks for the automatic recognition of SignWriting. It can be used with Quevedo or with third party tools thanks to its standard and open format. The VisSE corpus is the result of the VisSE Project, financed by Indra and Fundación Universia in the program for funding of research projects on Accesible Technologies.
doi_str_mv 10.5281/zenodo.6337884
format Dataset
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identifier DOI: 10.5281/zenodo.6337884
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subjects Graphical Language
Machine Learning
Sign Language
SignWriting
title VisSE corpus of Spanish SignWriting
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