How is machine learning applied in natural language processing?

Machine learning techniques are applied in NLP for tasks such as text classification, named entity recognition, sentiment analysis, part-of-speech tagging, machine translation, and question answering. These tasks involve training models on labeled data to make predictions or extract meaningful information from text.