Definition: Natural Language Processing (NLP) is a field of artificial intelligence that deals with the interaction between computers and human (natural) languages.  

Detailed Description:

NLP techniques are used to analyze, understand, and generate human language. Tasks in NLP include:

• Text classification: Categorizing text into different categories (e.g., spam or not spam, positive or negative sentiment)
• Machine translation: Translating text from one language to another
• Named entity recognition: Identifying named entities such as people, organizations, and locations
• Text summarization: Summarizing a long text into a shorter version
• Question answering: Answering questions based on a given text

NLP techniques often involve machine learning models, such as recurrent neural networks (RNNs) and transformer models.

Related Terms:

• Artificial Intelligence
• Machine Learning
• Text Mining
• Computational Linguistics
• Language Models

FAQs:

1. What is the difference between NLP and natural language understanding (NLU)?

   • NLU is a subset of NLP that focuses on understanding the meaning and intent behind language.

2. How is NLP used in chatbots?

   • Chatbots use NLP to understand user input and generate appropriate responses.

3. What are some challenges in NLP?

   • Challenges include ambiguity, context understanding, and handling different languages and dialects.