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

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


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.
Anthology ID:
2022.signlang-1.10
Volume:
Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources
Month:
June
Year:
2022
Address:
Marseille, France
Venue:
SignLang
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
59–66
Language:
URL:
https://aclanthology.org/2022.signlang-1.10
DOI:
Bibkey:
Cite (ACL):
Kathleen Currie Hall, Yurika Aonuki, Kaili Vesik, April Poy, and Nico Tolmie. 2022. Sign Language Phonetic Annotator-Analyzer: Open-Source Software for Form-Based Analysis of Sign Languages. In Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources, pages 59–66, Marseille, France. European Language Resources Association.
Cite (Informal):
Sign Language Phonetic Annotator-Analyzer: Open-Source Software for Form-Based Analysis of Sign Languages (Hall et al., SignLang 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/2022.signlang-1.10.pdf