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Language Resources for European Sign Languages

  • Vincent Vandeghinste
  • , Mirella De Sisto
  • , Maria Kopf
  • , Marc Schulder
  • , Caro Brosens
  • , Lien Soetemans
  • , Rehana Omardeen
  • , Frankie Picron
  • , Davy Van Landuyt
  • , Irene Murtagh
  • , Elefterios Avramidis
  • , Mathieu De Coster

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

    288 Downloads (Pure)

    Abstract

    This chapter on Language resources for Europe’s Sign Languages is an adaptation of a deliverable that is part of a series of language deliverables developed within the framework of the European Language Equality (ELE) project. The series seeks to not only delineate the current state of affairs for each European language, but to additionally identify the gaps and factors that hinder further development in research and technology. The survey presented here focuses on the condition of Language Technology (LT) with regard to Europe’s sign languages, a set of languages often forgotten in the context of European language equality.

    With the rise of the deep learning paradigm in artificial intelligence, sign language technologies become technologically feasible, provided that enough data is available to feed this data-hungry paradigm. It is exactly the quality and quantity of data that is the main bottleneck in development of well performing and useful technologies.

    In the past, there have been several projects aimed at developing sign language technologies and methodologies that have been deemed of little value by the deaf communities. Co-creation and involvement of deaf communities throughout projects and development of technologies ensures that this does not happen again.
    Original languageEnglish
    Title of host publicationSign Language Machine Translation
    EditorsAndy Way, Lorraine Leeson, Dimitar Shterionov
    PublisherSpringer Cham
    Chapter6
    Pages141-170
    Number of pages30
    Edition1
    ISBN (Electronic)978-3-031-47362-3
    ISBN (Print)978-3-031-47364-7
    DOIs
    Publication statusPublished - 12 Nov 2024

    Publication series

    NameMachine Translation: Technologies and Applications
    Volume5

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