Quevedo: Annotation and Processing of Graphical Languages

Authors Antonio F. G. Sevilla
Alberto Díaz Esteban
Jose María Lahoz-Bengoechea
Published Proceedings of the Language Resources and Evaluation Conference, June 2022
Keywords Graphical Languages, Annotation, Datasets, Machine Learning, Open Software
Abstract 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.
  author    = {Sevilla, Antonio F. G. and Díaz Esteban, Alberto and Lahoz-Bengoechea, José María},
  title     = {Quevedo: Annotation and Processing of Graphical Languages},
  booktitle      = {Proceedings of the Language Resources and Evaluation Conference},
  month          = {June},
  year           = {2022},
  address        = {Marseille, France},
  publisher      = {European Language Resources Association},
  pages     = {2528--2535},
  url       = {https://aclanthology.org/2022.lrec-1.269}
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