How does Kannada Named Entity Recognition work?
- Rule-Based Methods. These methods utilize hand-crafted rules and patterns based on linguistic features to identify named entities in Kannada texts.
- Machine Learning Approaches. Machine learning models are trained on annotated Kannada corpora to recognize and classify named entities based on learned patterns.
- Deep Learning Techniques. Deep learning techniques, such as recurrent neural networks (RNNs) and transformers, are applied to capture complex patterns and relationships within Kannada text.
- Hybrid Approaches. These approaches combine rule-based and machine learning methods to enhance the accuracy and robustness of named entity recognition in Kannada.
