Artificial intelligence plays a significant role in linguistics by utilizing key concepts such as natural language processing, machine learning, and deep learning. Natural language processing involves the ability of computers to understand, interpret, and generate human language, while machine learning algorithms allow machines to learn from data and improve their performance over time. Deep learning, a subset of machine learning, utilizes neural networks to model complex patterns in data, making it particularly useful in tasks such as speech recognition and language translation. These key concepts in AI for linguistics have paved the way for advancements in chatbots, sentiment analysis, and other language-related applications.
This mind map was published on 21 September 2024 and has been viewed 45 times.