AI Glossary

Natural Language Processing

Natural language processing (NLP) is the field of methods that enable computers to analyze, understand, and generate human language.

Definition

Natural language processing (NLP) is the field of methods that enable computers to analyze, understand, and generate human language.

Plain English explanation

Teaching computers to work with ordinary human language—reading, writing, and interpreting text.

Technical explanation

NLP spans classical pipelines (tokenization, parsing, NER) and modern neural methods culminating in large pretrained language models.

Why it matters

NLP is the parent discipline for many glossary terms that appear in enterprise language products.

Real-world applications

  • Search and classification
  • Information extraction
  • Translation and summarization

Benefits

  • Unlocks unstructured text at scale
  • Supports multilingual products

Limitations

  • Ambiguity and context sensitivity
  • Domain jargon challenges

Common misconceptions

  • NLP did not begin with ChatGPT; LLMs are a recent peak method

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Latest developments

FAQ

NLP vs LLM?

LLMs are a class of models used inside NLP applications; NLP also includes non-LLM methods still used in production.

Last reviewed

Sources

  • Jurafsky & Martin — Speech and Language Processing

Correction request

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