How does Sesotho Named Entity Recognition work?
- Tokenization. This method involves breaking down the text into individual words or tokens, which aids in the identification of entities.
- Rule-Based Systems. This approach uses predefined linguistic rules and patterns to identify entities in Sesotho text based on grammar and syntax.
- Machine Learning. Machine learning techniques analyze large datasets to learn patterns and improve the recognition of entities over time.
- Deep Learning. Deep learning models, such as neural networks, are employed to capture complex patterns and contextual information in Sesotho language data for enhanced entity recognition.
