NLP (Natural Language Processing — natural language processing) is a technique that helps machines understand and process human speech. Chatbot uses NLP to recognize intent ("ask price", "look up order"), extract information ("X package price" → X product) and respond correctly. Vietnamese is difficult because it has no accents, compound words, and multiple meanings — chatbots that "understand Vietnamese" need to be trained with Vietnamese data. Zenify recorded 98.4% AI accuracy (approved).
TL;DR
- NLP helps machines understand human speech — the core of smart chatbots.
- Chatbot recognizes intent and extracts information from the question.
- Vietnamese is difficult: no accents, compound words, multiple meanings.
- Good Vietnamese Chatbot = training with Vietnamese data.
- Rule-based and AI NLP differ in flexibility.
What is NLP?
NLP is the field between linguistics and AI: teaching machines to understand, interpret and generate human language. In chatbots, NLP does 2 main things:
Recognize intent: "Send me a price list" → intention quote.
Extract entity: "X package price" → product = X.
Combining the two, the chatbot knows what the customer wants and answers correctly (see What is Conversational AI).
How does Chatbot understand Vietnamese?
1. Understand different ways of saying the same thing
"How much?", "What's the price?", "X how much?" → are all asking price.
NLP groups expressions about the same intention.
2. Identify Vietnamese keywords
The words "price", "order", "return" are strong signals.
Unsigned ("how much") is still understandable — needs unsigned data.
3. Handling compound and polysemous words
"order" is a compound word, not "order" + "order".
"discount" vs "deduction" — decision context.
4. Học từ dữ liệu tiếng Việt
Chatbot "speaks Vietnamese" well because it is trained with real Vietnamese conversations (see Voicebot Vietnamese).
Why is Vietnamese difficult for computers?
Difficulty | Example
No sign | "buy goods" = "buy goods"
Compound words | "road" ≠ "child" + "road"
Polysemy | "price list" vs "white board"
Borrowed words/slang | "ship", "genuine", "worst goods"
Flexible Grammar | Word order is easy to change
That's why English chatbots "copied" to Vietnamese often don't understand what customers say.
Rule-based vs NLP AI
Criteria | Rule-based | NLP AI
Understanding rewritten sentences | Poor — must match exactly | Good — understand
Scenario expansion | Add rule manually | More data
Cost | Lower | Higher
Hop | Simple question | Free questions
Smart usage: combination — rules for standard sentences, NLP for free sentences (see Rule-based vs AI chatbot).