QAZAQ SIGN LANGUAGE DICTIONARY

Simple item page
dc.contributor.authorOrazumbekov, Batyrbek
dc.contributor.authorDaukarayev, Damir
dc.contributor.authorSarsenbay, Mukhtar
dc.contributor.authorUmbetay, Yelnur
dc.date.accessioned2024-06-20T08:09:24Z
dc.date.available2024-06-20T08:09:24Z
dc.date.issued2024-04-19
dc.description.abstractOur 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.identifier.citationOrazumbekov, B., Daukarayev, D., Sarsenbay, M., & Umbetay, Y. (2024). Qazaq Sign Language Dictionary. Nazarbayev University School of Engineering and Digital Sciencesen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/7907
dc.language.isoenen_US
dc.publisherNazarbayev University School of Engineering and Digital Sciencesen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectType of access: Open accessen_US
dc.subjectKazakh Sign Languageen_US
dc.subjectSign Language Dictionaryen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectSign Languageen_US
dc.subjectSign Language Processingen_US
dc.titleQAZAQ SIGN LANGUAGE DICTIONARYen_US
dc.typeBachelor's thesis, capstone projecten_US
workflow.import.sourcescience

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Final Report.pdf
Size:
1.29 MB
Format:
Adobe Portable Document Format
Description:
capstone project
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
6.28 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

03. Bachelor's Thesis