How does Samoan Named Entity Recognition work?
- Rule-based Systems. These systems use predefined rules and patterns to identify entities in Samoan texts based on linguistic structures and cues.
- Machine Learning. This approach trains models on annotated datasets to recognize entities, allowing for improved accuracy with more training data.
- Deep Learning. Utilizing neural networks, this technique can automatically learn to identify and classify entities from large Samoan text corpora.
- Hybrid Models. These models combine rule-based and machine learning methods, enhancing the robustness and flexibility of entity recognition in Samoan.