Bilingual children demonstrate how early exposure, strategic language switching, and diverse input foster strong, adaptable language learning while enhancing cognitive abilities.

Abstract: Sign language recognition involves modeling complex multichannel information, such as hand shapes and movements, while relying on sufficient sign language-specific data. However, sign ...

Sign language recognition system using MobileNetV2 architecture and MediaPipe, accurately translating video inputs and live camera feeds into defined sign language with OpenCV. Arabic sign language ...

The Sign Language Recognition System (SLRS) is developed for a real-world scenario including 24 hand gestures, each representing a distinct letter (excluding letter J and Z). Each hand gesture is ...

The risks of executing untrusted Python code ... to execute code step-by-step. These agents can call tools sequentially or in parallel, returning results to the language model for further processing.

This research contributes to the scholarly discussion on the use of machine learning approaches in identifying sign language alphabets and provides insights into the feasibility and effectiveness of ...

Central Asia (MNN) — Like any other language, sign language evolves with each new generation. When the USSR collapsed, Central Asia entered a profound historical and cultural transition. For many ...