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Found 8 papers, 1 papers with code
Functional Data Analysis of Non-manual Marking of Questions in Kazakh-Russian Sign Language
This paper is a continuation of Kuznetsova et al. (2021), which described non-manual markers of polar and wh-questions in comparison with statements in an NLP dataset of Kazakh-Russian Sign Language (KRSL) using Computer Vision.
Towards Large Vocabulary Kazakh-Russian Sign Language Dataset: KRSL-OnlineSchool
To this end, this corpus contains video recordings of Kazakhstan’s online school translated to Kazakh-Russian sign language by 7 interpreters.
Towards Semi-automatic Sign Language Annotation Tool: SLAN-tool
The SLAN-tool provides a web-based service for the annotation of sign language videos.
Using Computer Vision to Analyze Non-manual Marking of Questions in KRSL
This paper presents a study that compares non-manual markers of polar and wh-questions to statements in Kazakh-Russian Sign Language (KRSL) in a dataset collected for NLP tasks.
Crowdsourcing Kazakh-Russian Sign Language: FluentSigners-50
This paper presents the methodology we used to crowdsource a data collection of a new large-scale signer independent dataset for Kazakh-Russian Sign Language (KRSL) created for Sign Language Processing.
A Dataset for Linguistic Understanding, Visual Evaluation, and Recognition of Sign Languages: The K-RSL
To date, a majority of Sign Language Recognition (SLR) approaches focus on recognising sign language as a manual gesture recognition problem.
Evaluation of Manual and Non-manual Components for Sign Language Recognition
The motivation behind this work lies in the need to differentiate between similar signs that differ in non-manual components present in any sign.
Automatic Classification of Handshapes in Russian Sign Language
However, it is a very time-consuming process, thus only a handful of sign languages have such inventories.
