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

Autor/a: MUKUSHEV, Medet; SABYROV, Arman; SULTANOVA, Madina; KIMMELMAN, Vadim; SANDYGULOVA, Anara
Año: 2022
Editorial: European Language Resources Association
Tipo de código: Copyright
Soporte: Digital

Temas

Lingüística » Sistemas de transcripción de las Lenguas de Signos

Detalles

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.

En Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources.

Ubicación