The developed system converts speech into sign language in real time, taking into account the mixture of Kazakh and Russian languages commonly used in Kazakhstan and other multilingual communities. Such bilingualism presents additional challenges for machine translation systems, making the development of adaptive model...
A. Yerimbetova, E. Daiyrbayeva, Bekarystankyzy Akbayan et al.· 2026 11th International Conf...· 0 citations
Sign Language Recognition (SLR) in low-resource sign languages is still limited due to the lack of annotated data, high variability of signers, and lack of benchmarks; Kazakh Sign Language (KzSL) is a representative example of such a low-resource language. The proposed research introduces a novel method for isolated Kz...
N. Amangeldy, A. Yerimbetova, D. Zhamangarin et al.· Frontiers in Artificial Inte...· 0 citations
The proposed SLR method based on the analysis of temporal sequences derived from hand skeletal data demonstrates strong and reliable performance and shows considerable potential for integration into automatic Sign Language Translation systems and advanced human-computer interaction applications.
A. Yerimbetova, E. Daiyrbayeva, U. Berzhanova et al.· 2026 11th International Conf...· 0 citations
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