EASIER Notation – A Proposal for a Gloss-based Scripting Language for Sign Language Generation Based on Lexical Data

Link:
Autor/in:
Verlag/Körperschaft:
Universität Hamburg
Erscheinungsjahr:
2023
Medientyp:
Text
Schlagworte:
  • sign language
  • animation
  • notation
  • avatar
  • HamNoSys
Beschreibung:
  • This upload is the accepted version of the paper. For the closed access published version follow the URL in the citation.

    Cite as

    T. Hanke, L. König, R. Konrad, M. Kopf, M. Schulder and R. Wolfe, "EASIER Notation – a Proposal for a Gloss-Based Scripting Language for Sign Language Generation Based on Lexical Data"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops: Sign Language Translation and Avatar Technology, Rhodes Island, Greece, 2023, doi: 10.1109/ICASSPW59220.2023.10192997. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10192997&isnumber=10192577

    Abstract

    We introduce EASIER Notation, a gloss-based scripting language to describe sign language content to be signed by an avatar and describe the functionality a lexical database for a sign language needs to provide in order to fully support the notation approach. In addition, we present the prototype of a text editor supporting EASIER Notation for human post-editing of machine translation output as well as pre-scribing signed utterances from scratch.

  • ©2023 IEEE
relatedIdentifier:
DOI 10.25592/uhhfdm.12683 DOI 10.25592/uhhfdm.12052
Lizenzen:
  • https://creativecommons.org/licenses/by/4.0/legalcode
  • info:eu-repo/semantics/openAccess
Quellsystem:
Forschungsdatenrepositorium der UHH

Interne Metadaten
Quelldatensatz
oai:fdr.uni-hamburg.de:12053