How does Korean Text Generator work?
- Neural Networks. Neural networks are utilized to process and generate text based on input data, enabling the model to learn language patterns effectively.
- Natural Language Processing (NLP). NLP techniques ensure that the generated text is not only grammatically correct but also semantically meaningful in the context.
- Transfer Learning. Transfer learning allows the Korean Text Generator to apply knowledge gained from one task to improve performance on related tasks, enhancing its adaptability.
- Data Augmentation. Data augmentation techniques are employed to expand the training dataset, providing the model with diverse examples to improve its generalization capabilities.
