How does machine learning enhance natural language processing?
Machine learning enhances NLP by enabling algorithms to learn from data, improving tasks like translation and sentiment analysis.
Can you give me an example of how this works in practice?
Sure! For instance, in sentiment analysis, machine learning models can be trained on labeled data to classify text as positive, negative, or neutral.
What types of machine learning are commonly used in NLP?
Common types include supervised learning for classification tasks, unsupervised learning for topic modeling, and reinforcement learning for dialogue systems.
Are there any limitations to using machine learning in NLP?
Yes, limitations include the need for large datasets, potential biases in training data, and challenges in understanding context.
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