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QAZAQ SIGN LANGUAGE DICTIONARY

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dc.contributor.author Orazumbekov, Batyrbek
dc.contributor.author Daukarayev, Damir
dc.contributor.author Sarsenbay, Mukhtar
dc.contributor.author Umbetay, Yelnur
dc.date.accessioned 2024-06-20T08:09:24Z
dc.date.available 2024-06-20T08:09:24Z
dc.date.issued 2024-04-19
dc.identifier.citation Orazumbekov, B., Daukarayev, D., Sarsenbay, M., & Umbetay, Y. (2024). Qazaq Sign Language Dictionary. Nazarbayev University School of Engineering and Digital Sciences en_US
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/7907
dc.description.abstract Our project aims to deliver a comprehensive digital platform focused on learning and using sign language to revolutionize access for the Deaf community. This platform ensures inclusiveness and improved communication by integrating multiple resources to address different learning styles and needs. The main feature of our platform is the Sign Language Dictionary, which includes several categories. These categories cover various aspects of daily life such as greetings, emotions, nutrition, activities and more. Each category is a collection of carefully selected sign language videos, each containing a particular hand or word associated with that category. These videos are designed to be informative, engaging, and accessible, allowing users to learn sign language and learn at their own pace. The Sign Language Dictionary also has a search function that allows users to search for specific words or specific gestures they want to see or find quickly. This feature enhances the usability and efficiency of the platform by allowing users to easily navigate through a large database of sign language content. In addition, our platform includes user-generated content through licensed downloads. This feature allows qualified professionals, such as certified sign language instructors to upload videos to the platform. These videos go through a process of verification and quality, enhance the content of the platform, and enhance the user’s learning experience. In addition to the dictionary and custom content, our platform offers a reverse dictionary feature. Our platform allows you to record hand gestures and use them to search for words in a large database of words. We achieved this using a model through which we conducted video clips and output them for all possible predictions and saved them in the database. en_US
dc.language.iso en en_US
dc.publisher Nazarbayev University School of Engineering and Digital Sciences en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject Type of access: Open access en_US
dc.subject Kazakh Sign Language en_US
dc.subject Sign Language Dictionary en_US
dc.subject Artificial Intelligence en_US
dc.subject Sign Language en_US
dc.subject Sign Language Processing en_US
dc.title QAZAQ SIGN LANGUAGE DICTIONARY en_US
dc.type Bachelor's thesis en_US
workflow.import.source science


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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States