Towards Semi-automatic Sign Language Annotation Tool: SLAN-tool

Medet Mukushev, Arman Sabyrov, Madina Sultanova, Vadim Kimmelman, Anara Sandygulova


Abstract
This paper presents a semi-automatic annotation tool for sign languages namely SLAN-tool. The SLAN-tool provides a web-based service for the annotation of sign language videos. Researchers can use the SLAN-tool web service to annotate new and existing sign language datasets with different types of annotations, such as gloss, handshape configurations, and signing regions. This is allowed using a custom tier adding functionality. A unique feature of the tool is its automatic annotation functionality which uses several neural network models in order to recognize signing segments from videos and classify handshapes according to HamNoSys handshape inventory. Furthermore, SLAN-tool users can export annotations and import them into ELAN. The SLAN-tool is publicly available at https://slan-tool.com.
Anthology ID:
2022.signlang-1.25
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:
159–164
Language:
URL:
https://aclanthology.org/2022.signlang-1.25
DOI:
Bibkey:
Cite (ACL):
Medet Mukushev, Arman Sabyrov, Madina Sultanova, Vadim Kimmelman, and Anara Sandygulova. 2022. Towards Semi-automatic Sign Language Annotation Tool: SLAN-tool. In Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources, pages 159–164, Marseille, France. European Language Resources Association.
Cite (Informal):
Towards Semi-automatic Sign Language Annotation Tool: SLAN-tool (Mukushev et al., SignLang 2022)
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PDF:
https://aclanthology.org/2022.signlang-1.25.pdf