Person: Lahoz Bengoechea, José María
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First Name
José María
Last Name
Lahoz Bengoechea
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Filología
Department
Lengua Española y Teoría Literaria
Area
Lengua Española
Identifiers
3 results
Search Results
Now showing 1 - 3 of 3
Item Automatic SignWriting Recognition: Combining Machine Learning and Expert Knowledge to Solve a Novel Problem(IEEE Access, 2023) García Sevilla, Antonio Fernando; Díaz Esteban, Alberto; Lahoz Bengoechea, José MaríaSign 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. In this article, we present a novel problem for the state of the art in artificial intelligence: automatic SignWriting recognition. We examine the problem, model the underlying data domain, and present a first solution in the form of an expert system that exploits the domain knowledge encoded in the data modelization. This system uses an adaptable pipeline of neural networks and deterministic processing, overcoming the challenges posed by the novelty and originality of the problem. Thanks to our data modelization, it improves the accuracy compared to a straight-forward deep learning approach by 17%. All of our data and code are publicly available, and our approach may be useful not only for SignWriting processing but also for other similar graphical data.Item Building the VisSE Corpus of Spanish SignWriting(Language Resources and Evaluation, ) Díaz Esteban, Alberto; García Sevilla, Antonio Fernando; Lahoz Bengoechea, José MaríaSignWriting 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.Item A different description of orientation in sign languages(Procesamiento del Lenguaje Natural, 2019) García Sevilla, Antonio Fernando; Lahoz Bengoechea, José MaríaSign languages are a very interesting object of linguistic study, posing challenges not present in oral languages. One of these challenges is describing and transcribing the internal structure of the language in a way that is adequate to its characteristics but also compatible with existing linguistic practice. The phonology of sign languages is of special interest. We focus on one phonological feature: that of hand orientation. We propose an interpretation and description system that better captures underlying meaning and structure, and that is more appropriate for its formal and computational treatment.