How does Catalan Text Generator work?
- Natural Language Processing (NLP). NLP techniques enable the generator to understand and produce human-like text by analyzing language patterns and context.
- Machine Learning. Machine learning algorithms are used to improve the text generation model over time, learning from vast datasets to enhance accuracy.
- Template-Based Generation. This method uses predefined templates to ensure that the generated text adheres to certain structures and styles relevant to the Catalan language.
- Contextual Awareness. The generator uses contextual awareness to maintain coherence and relevance in the text, keeping track of topics and themes throughout the content.
