QAZAQ SIGN LANGUAGE DICTIONARY
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Date
2024-04-19
Authors
Orazumbekov, Batyrbek
Daukarayev, Damir
Sarsenbay, Mukhtar
Umbetay, Yelnur
Journal Title
Journal ISSN
Volume Title
Publisher
Nazarbayev University School of Engineering and Digital Sciences
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.
Description
Keywords
Type of access: Open access, Kazakh Sign Language, Sign Language Dictionary, Artificial Intelligence, Sign Language, Sign Language Processing
Citation
Orazumbekov, B., Daukarayev, D., Sarsenbay, M., & Umbetay, Y. (2024). Qazaq Sign Language Dictionary. Nazarbayev University School of Engineering and Digital Sciences