Mobile Application for Learning the Kyrgyz Language Using Artificial Intelligence and Augmented Reality Technologies
Year: 2025
Type: preprint
Abstract: Learning the Kyrgyz language is challenging for foreigners and locals alike, primarily due to the lack of interactive digital materials in the language. Foreigners who are interested in communicating with the locals, touring, or embracing the Kyrgyz culture find that the available language-learning programs make it difficult to learn the language effectively. In contrast to popular languages like English, Russian, or Kazakh, Kyrgyz has only a few interactive tools available. Moreover, in regions like Bishkek where Russian is predominantly used, even native Kyrgyz speakers struggle to recall the correct Kyrgyz terms for everyday objects. This study proposes an artificial intelligence and augmented reality-based mobile app in everyday environments to create a new interactive environment for language learning. The app employs light-weight AI models like MobileNetV2 and SSDLite for real-time object detection and overlays transparent and simple labels in the Kyrgyz language on actual objects. This natural association of words with physical objects provides a more blending experience with words. Future work will focus on object database development and additional tuning of detection algorithms to narrow the gap further in Kyrgyz language teaching with digital materials.
Source: Preprints.org
Authors: Umut Arpidinov, Ruslan Isaev
Institution: Ala-Too International University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W4410945046