# What is NLP? Definition & Technical Mechanics

> **Source:** [SPIDITS AI AI Glossary](https://spidits.com/ai-glossary)  
> **Category:** Natural Language Processing  
> **Canonical Citation:** [https://spidits.com/ai-glossary/nlp](https://spidits.com/ai-glossary/nlp)

## Definition
Natural Language Processing (NLP) is a subfield of computer science and AI concerned with the interactions between computers and human language. It involves training computers to process, analyze, and synthesize large amounts of natural language data.

## Architectural Mechanics & Deep Dive
Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, generate, and manipulate human language. NLP combines computational linguistics, machine learning, and deep learning models to perform diverse tasks such as machine translation, sentiment analysis, named entity recognition, text summarization, and conversational dialogue.

## Industry Applications & Real-World Use Cases
Sentiment analysis, translation, named entity recognition, and chat assistants

## Frequently Asked Questions

### What is syntax vs. semantics in NLP?
Syntax refers to grammatical structure and rules. Semantics refers to the actual meaning conveyed by the words.

### Has LLM replaced classical NLP?
While LLMs handle complex language tasks, classical NLP tools (like tokenization, stemming, and regex parsing) are still used for preprocessing.

## Related Terminology
- [llm](https://spidits.com/ai-glossary/llm)
- [tokenization](https://spidits.com/ai-glossary/tokenization)
- [semantic-search](https://spidits.com/ai-glossary/semantic-search)

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*From the SPIDITS AI Knowledge Base (300+ terms indexed). Explore full technical definitions: [https://spidits.com/ai-glossary](https://spidits.com/ai-glossary)*