Natural Language Processing

What is natural language processing (NLP)?

Natural language processing (NLP) is the technology that lets computers understand and generate human language. Voice assistants, translation, search, the autocomplete on your keyboard — there's NLP under all of it. It sits between human language and the machine world, acting as interpreter.

What does it actually do?

Understanding (NLU)
Grasping what a sentence really means — including sarcasm, tone, and what "it" refers to in context.
Generation (NLG)
Having a machine put together fluent, natural human language, not stiff templates.
Translation, summarization, classification…
Turning a paragraph into another language, squeezing it into one sentence, or judging whether a review is positive or negative — all NLP work.

What stages has it gone through?

The rules era
Early on, people hand-wrote grammar rules. Rigid and hard to scale.
The statistical era
Models counted word relationships in huge corpora — a bit more flexible.
The deep-learning era
Once transformers arrived, large models pushed NLP to a new level — writing, chatting, reasoning.

Why does it matter?

Most of human knowledge lives as language. Whoever handles language well can make machines read the world's mountains of text — and build products that actually get you. ChatGPT is, at heart, NLP pushed to its limit.

Bottom line: NLP is teaching computers to "read and speak human" — the front door through which AI understands the world.