How does Maori Named Entity Recognition work?
- Tokenization. This method divides text into individual words or tokens, which serves as the basis for further analysis in the NER process.
- Part-of-Speech Tagging. This technique assigns word classes to tokens, helping to understand their roles within sentences, which aids in the identification of entities.
- Rule-Based Approaches. Using predefined patterns and linguistic rules, this method looks for specific structures that typically denote names and entities in the text.
- Machine Learning Models. These models are trained on annotated data to learn how to distinguish between different types of entities within the language context.
