| Abstract |
Representation of linguistic data is an issue of utmost importance when
developing language resources, but the lack of a standard written form in sign
languages presents a challenge. Different notation systems exist, but only
SignWriting seems to have some use in the native signer community. It is,
however, a difficult system to use computationally, not based on a linear
sequence of characters. We present the project “VisSE”, which aims to develop
tools for the effective use of SignWriting in the computer. The first of these
is an application which uses computer vision to interpret SignWriting,
understanding the meaning of new or existing transcriptions, or even
hand-written images. Two additional tools will be able to consume the result
of this recognizer: first, a textual description of the features of the
transcription will make it understandable for non-signers. Second,
a three-dimensional avatar will be able to reproduce the configurations and
movements contained within the transcription, making it understandable for
signers even if not familiar with SignWriting. Additionally, the project will
result in a corpus of annotated SignWriting data which will also be of use to
the computational linguistics community.
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| Citation |
@inproceedings{sevilla_tools_2020,
address = {Marseille, France},
title = {Tools for the use of {SignWriting} as a {Language} {Resource}},
booktitle = {Proceedings of the 9th {Workshop} on the {Representation} and {Processing} of {Sign} {Languages}},
publisher = {European Language Resources Association (ELRA)},
author = {Sevilla, Antonio F. G. and Díaz Esteban, Alberto and Lahoz-Bengoechea, José María},
month = may,
year = {2020},
pages = {203--208},
}
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