What is it called when AI interprets everyday language?

Natural Language Processing (NLP) refers to the capability of artificial intelligence to understand, interpret, and respond to human language in a way that is both meaningful and useful. It encompasses the interactions between computers and humans through natural language, allowing machines to understand the nuances and context of language as it is spoken or written.

NLP enables a wide range of applications, such as virtual assistants, chatbots, and translation services, making communication between humans and machines more efficient and intuitive. By leveraging algorithms and models, NLP systems break down human language into a format that can be processed, enabling computers to perform tasks like sentiment analysis, entity recognition, and even complex decision-making based on user input.

In contrast, the other choices do not specifically capture the breadth of understanding and processing of human language that NLP entails. For example, slang translation would only refer to interpreting informal language and might not cover the entirety of language complexities. Text-to-task focuses more on converting written requests into actionable tasks rather than the overall understanding of language. Intention Prediction suggests a specific aspect of NLP where AI predicts what a user intends to do, but it does not encompass the broader scope of how AI interprets language in general.