Hybrid Deep Model for Uzbek Language Punctuation Prediction

Key Points

• The aim is to enhance automatic punctuation restoration for the Uzbek language using deep learning.
• Developed a hybrid deep learning model.
• Applied the model to a low-resource language, Uzbek.
• Utilized existing annotated corpora for training.
• Improved punctuation accuracy compared to previous methods.
• Demonstrated effectiveness in low-resource language applications.