Machine learning plays a crucial role in natural language processing (NLP) by enabling systems to understand, interpret, and generate human language. Leveraging algorithms that learn from data, such as neural networks, machine learning allows NLP applications to improve their accuracy over time. This technology powers various uses, including chatbots, language translation, and sentiment analysis. By training on vast datasets, machine learning models can recognize linguistic patterns and nuances, enhancing their ability to process and generate human language in a way that mimics natural communication.