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

Thomas Hanke, Lutz König, Reiner Konrad, Maria Kopf, Marc Schulder, Rosalee Wolfe
June, 2023
PDF Cite Project Poster DOI
Type
Conference paper
Publication
In 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops: Sign Language Translation and Avatar Technology (SLTAT 2023)
This article is ©2023 IEEE. I recommend using the accepted version of the paper, which is open access. For the closed access published version follow the URL in the citation below, but note that most hyperlinks have been broken in that version. The accepted version does not have this problem.

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.

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

Marc Schulder
Marc Schulder
Research Associate in Computational Linguistics

My research interests include sign languages, natural language processing, and open science.