RT Conference Proceedings
T1 Quevedo: Annotation and processing of graphical languages
A1 García Sevilla, Antonio Fernando
A1 Díaz Esteban, Alberto
A1 Lahoz Bengoechea, José María
AB In this article, we present Quevedo, a software tool we have developed for the task of automatic processing of graphical languages. These are languages which use images to convey meaning, relying not only on the shape of symbols but also on their spatial arrangement in the page, and relative to each other. When presented in image form, these languages require specialized computational processing which is not the same as usually done either for natural language processing or for artificial vision. Quevedo enables this specialized processing, focusing on a data-based approach. As a command line application and library,it provides features for the collection and management of image datasets, and their machine learning recognition using neural networks and recognizer pipelines. This processing requires careful annotation of the source data, for which Quevedo offers an extensive and visual web-based annotation interface. In this article, we also briefly present a case study centered on the task of SignWriting recognition, the original motivation for writing the software. Quevedo is written in Python, and distributed freely under the Open Software License version 3.0.
YR 2022
FD 2022-06-25
LK https://hdl.handle.net/20.500.14352/108619
UL https://hdl.handle.net/20.500.14352/108619
LA eng
NO Sevilla, A. F. G., Díaz Esteban, A., & Lahoz-Bengoechea, J. M. (2022). Quevedo: Annotation and processing of graphical languages. En Proceedings of the 13th Conference on Language Resources and Evaluation (LREC2022) (pp. 2528-2535). European Language Resources Association (ELRA). http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.269.pdf
NO Indra
NO Fundación Universia
NO Fundación BBVA
DS Docta Complutense
RD 7 abr 2025