Natural Language Understanding (NLU)

Natural language understanding (NLU) is a subset of natural language processing (NLP) that focuses on understanding the meaning of human language. NLU can be used to extract information from text, translate languages, and answer questions in a natural way.

NLU is a complex task, and there are many different approaches to it. One common approach is to use a combination of rule-based and statistical methods. Rule-based methods use a set of rules to identify the meaning of words and phrases. Statistical methods use a statistical model to learn the relationship between words and their meaning.

NLU is used in a wide variety of applications, including:

• Machine translation
• Question answering
• Sentiment analysis
• Chatbots
• Virtual assistants

NLU is a rapidly growing field, and there are many new and exciting developments happening all the time. As NLU technology continues to improve, we can expect to see even more applications of NLU in the future.