sign-lang@LREC Anthology


Sign Language Phonetic Annotator-Analyzer: Open-Source Software for Form-Based Analysis of Sign Languages

Hall, Kathleen Currie | Aonuki, Yurika | Vesik, Kaili | Poy, April | Tolmie, Nico


Volume:
Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources
Venue:
Marseille, France
Date:
25 June 2022
Pages:
59–66
Publisher:
European Language Resources Association (ELRA)
License:
CC BY-NC 4.0
sign-lang ID:
22004
ACL ID:
2022.signlang-1.10
ISBN:
979-10-95546-86-3

Abstract

This paper provides an introduction to the Sign Language Phonetic Annotator-Analyzer (SLP-AA) software, a free and open-source tool currently under development, for facilitating detailed form-based transcription of signs. The software is designed to have a user-friendly interface that allows coders to transcribe a great deal of phonetic detail without being constrained to a particular phonetic annotation system or phonological framework. Here, we focus on the ‘annotator’ component of the software, outlining the functionality for transcribing movement, location, hand configuration, orientation, and contact, as well as the timing relations between them.

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@inproceedings{hall:22004:sign-lang:lrec,
  author    = {Hall, Kathleen Currie and Aonuki, Yurika and Vesik, Kaili and Poy, April and Tolmie, Nico},
  title     = {Sign Language Phonetic Annotator-Analyzer: Open-Source Software for Form-Based Analysis of Sign Languages},
  pages     = {59--66},
  editor    = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Kristoffersen, Jette and Mesch, Johanna and Schulder, Marc},
  booktitle = {Proceedings of the {LREC2022} 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources},
  maintitle = {13th International Conference on Language Resources and Evaluation ({LREC} 2022)},
  publisher = {{European Language Resources Association (ELRA)}},
  address   = {Marseille, France},
  day       = {25},
  month     = jun,
  year      = {2022},
  isbn      = {979-10-95546-86-3},
  language  = {english},
  url       = {https://www.sign-lang.uni-hamburg.de/lrec/pub/22004.pdf}
}
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