How does Javanese Named Entity Recognition work?
- Tokenization. Tokenization involves breaking down a sentence into individual words or tokens, which is a crucial first step in processing text for named entity recognition.
- Part-of-Speech Tagging. Part-of-speech tagging assigns grammatical categories to each token, helping to identify which words are likely to represent entities.
- Machine Learning Models. Machine learning models are trained on annotated Javanese texts to recognize patterns and predict entity categories within new texts.
- Rule-Based Systems. Rule-based systems apply predefined heuristics to identify entities based on specific language rules and patterns typical in Javanese.
