• Creating a Parallel Corpus for the Kazakh Sign Language and Learning 

      Yerimbetova, Aigerim; Sakenov, Bakzhan; Sambetbayeva, Madina; Daiyrbayeva, Elmira; Berzhanova, Ulmeken; Othman, Mohamed (Applied Sciences, 2025)
      Kazakh Sign Language (KSL) is a crucial communication tool for individuals with hearing and speech impairments. Deep learning, particularly Transformer models, offers a promising approach to improving accessibility in education and communication. This study analyzes the syntactic structure of KSL, identifying its unique grammatical features and deviations from spoken Kazakh. ...
      2026-03-10
    • Creating a Parallel Corpus for the Kazakh Sign Language and Learning 

      Yerimbetova, Aigerim; Sakenov, Bakzhan; Sambetbayeva, Madina; Daiyrbayeva, Elmira; Berzhanova, Ulmeken; Othman, Mohamed (Applied Sciences, 2025)
      Kazakh Sign Language (KSL) is a crucial communication tool for individuals with hearing and speech impairments. Deep learning, particularly Transformer models, offers a promising approach to improving accessibility in education and communication. This study analyzes the syntactic structure of KSL, identifying its unique grammatical features and deviations from spoken Kazakh. ...
      2026-03-03
    • Creating a Parallel Corpus for the Kazakh Sign Language and Learning 

      Yerimbetova, Aigerim; Sakenov, Bakzhan; Sambetbayeva, Madina; Daiyrbayeva, Elmira; Berzhanova, Ulmeken; Othman, Mohamed (Applied Sciences, 2025)
      Kazakh Sign Language (KSL) is a crucial communication tool for individuals with hearing and speech impairments. Deep learning, particularly Transformer models, offers a promising approach to improving accessibility in education and communication. This study analyzes the syntactic structure of KSL, identifying its unique grammatical features and deviations from spoken Kazakh. ...
      2026-03-13
    • Creating a Parallel Corpus for the Kazakh Sign Language and Learning 

      Yerimbetova, Aigerim; Sakenov, Bakzhan; Sambetbayeva, Madina; Daiyrbayeva, Elmira; Berzhanova, Ulmeken; Othman, Mohamed (Applied Sciences, 2025)
      Kazakh Sign Language (KSL) is a crucial communication tool for individuals with hearing and speech impairments. Deep learning, particularly Transformer models, offers a promising approach to improving accessibility in education and communication. This study analyzes the syntactic structure of KSL, identifying its unique grammatical features and deviations from spoken Kazakh. ...
      2026-03-18
    • Creating a Parallel Corpus for the Kazakh Sign Language and Learning 

      Yerimbetova, Aigerim; Sakenov, Bakzhan; Sambetbayeva, Madina; Daiyrbayeva, Elmira; Berzhanova, Ulmeken; Othman, Mohamed (Applied Sciences, 2025)
      Kazakh Sign Language (KSL) is a crucial communication tool for individuals with hearing and speech impairments. Deep learning, particularly Transformer models, offers a promising approach to improving accessibility in education and communication. This study analyzes the syntactic structure of KSL, identifying its unique grammatical features and deviations from spoken Kazakh. ...
      2026-03-27