| Abstract |
SignWriting is a system for transcribing sign languages, using iconic
depictions of the hands and other body parts, as well as exploiting the
possibilities of the page as a two dimensional medium to capture the
three-dimensional nature of signs. This goes beyond the usual line-oriented
nature of oral writing systems, and thus requires a different approach to
its processing. In this article we present a corpus of handwritten
SignWriting, a collection of images which transcribe signs from Spanish Sign
Language. We explain the annotation schema we have devised, and the
decisions which have been necessary to deal with the challenges that both
sign language and SignWriting present. These challenges include the
transformational nature of symbols in SignWriting, which can rotate and
otherwise transform to convey meaning, as well as how to properly codify
location, a fundamental part of SignWriting which is completely different to
oral writing systems. The data in the corpus is fully annotated, and can
serve as a tool for computational training and evaluation of algorithms, as
well as provide a window into the nature of SignWriting and the distribution
of its features across a real vocabulary. The corpus is freely available
online at https://zenodo.org/record/6337885.
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| Citation |
@article{sevilla_visse_corpus_2023,
author={Sevilla, Antonio F. G. and D{\'i}az Esteban, Alberto and Lahoz-Bengoechea, Jos{\'e} Mar{\'i}a},
title={Building the VisSE Corpus of Spanish SignWriting},
journal={Language Resources and Evaluation},
year={2023},
month={Oct},
issn={1574-0218},
doi={10.1007/s10579-023-09694-9},
url={https://doi.org/10.1007/s10579-023-09694-9}
}
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