Machine Learning in Linguistics

Machine learning in linguistics involves training computers to understand and analyze human language by recognizing patterns in large amounts of text and speech data. The algorithms learn from examples to perform tasks like translation, sentiment analysis, or speech recognition without being explicitly programmed for each task. This process allows machines to adapt and improve over time, making language-related tools more accurate and efficient. Essentially, it enables computers to interpret and generate language in ways that mimic human understanding, advancing technologies like virtual assistants, chatbots, and language translation services.