How does Welsh Named Entity Recognition work?
- Tokenization. Tokenization is the process of breaking down text into individual units or tokens, such as words or phrases, which are essential for identifying named entities.
- Part-of-Speech Tagging. This technique involves identifying the grammatical parts of the text, which helps in discerning which tokens are likely to represent named entities.
- Machine Learning. Machine learning models are trained using annotated data to recognize patterns and classify named entities accurately in Welsh text.
- Contextual Analysis. Contextual analysis takes into account the surrounding text of potential named entities to improve accuracy in classification and recognition.
