How does Pashto Named Entity Recognition work?
- Rule-based Systems. These systems use handcrafted rules and patterns to identify entities in text, often leveraging dictionaries of known entities.
- Statistical Methods. Statistical approaches utilize machine learning algorithms to classify entities based on training data, allowing for greater adaptability to various contexts.
- Neural Networks. Advanced neural network models, such as LSTMs and transformers, learn to recognize entities from large datasets and are capable of capturing complex linguistic features.
- Hybrid Approaches. Combining rule-based and statistical methods, hybrid systems leverage the strengths of both to improve overall accuracy and robustness in entity recognition.
