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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 VisSE corpus of Spanish SignWriting ... Sevilla, Antonio F. G.; Lahoz-Bengoechea, José María; Esteban, Alberto Díaz. - : Zenodo, 2022 BASE Show details 2 VisSE corpus of Spanish SignWriting ... Sevilla, Antonio F. G.; Lahoz-Bengoechea, José María; Esteban, Alberto Díaz. - : Zenodo, 2022 BASE Show details 3 Automatic SignWriting Recognition Lahoz-Bengoechea, José María; Sevilla, Antonio F. G.; Díaz Esteban, Alberto. - 2021 Abstract: Sign languages are viso-gestual languages, using space and movement to convey meaning. To be able to transcribe them, SignWriting uses an iconic system of symbols meaningfully arranged in the page. This two-dimensional system, however, is very different to traditional writing systems, so its automatic processing poses a novel challenge for computational linguistics. We identify as first and fundamental step to overcome this challenge the extraction of a computational representation of the semantics represented by SignWriting transcriptions. We propose a data-based modelization of the problem, construed from real handwritten SignWriting instances. We then propose two solutions involving state of the art machine learning techniques combined with expert analysis. The first solution is direct application of an existing deep neural network. Our second proposal exploits the expert knowledge codified in the data annotation scheme that we present, in order to craft a system that improves on the straight-forward solution's accuracy by 30%. This improved system uses a number of different neural networks to divide the necessary processing, progressively constructing the prediction in an iterative pipeline that combines deep learning and domain knowledge in a mixed solution. Keyword: Informática; Inteligencia artificial; Sistemas expertos URL: https://eprints.ucm.es/id/eprint/69235/1/AutomaticSignWritingRecognition_SevillaDiazLahoz.pdf https://eprints.ucm.es/id/eprint/69235/ BASE Hide details 4 A different description of orientation in sign languages ; Una descripción distinta de la orientación en las lenguas de signos Sevilla, Antonio F. G.; Lahoz-Bengoechea, Jose María. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2019 BASE Show details 5 Building the VisSE Corpus of Spanish SignWriting Díaz Esteban, Alberto; Sevilla, Antonio F. G.; Lahoz-Bengoechea, José María BASE Show details

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