Natural Language Processing (NLP)

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on enabling machines to understand, interpret, and respond to human language. It encompasses text analysis, speech recognition, and language generation.

Also known as: Computational linguistics, language technology.

Comparisons

• NLP vs. NLU: NLP is the broader field, while NLU specifically addresses comprehension of language.

• NLP vs. NLG: NLP includes processing input language, whereas NLG generates human-like language as output.

Pros

• Enhances communication: Bridges the gap between humans and machines.

• Automates processes: Enables chatbots, voice assistants, and document summarization.

• Scalable: Handles large-scale text or voice data efficiently.

Cons

• Ambiguity: Struggles with interpreting idioms, context, or sarcasm.

• Data dependency: Requires substantial training data for accuracy.

Example

A customer service chatbot uses NLP to understand and respond to user queries, such as checking account balances or troubleshooting technical issues.