Tokenization

Lesson in the Machine Learning Roadmap · Stage 38: Natural Language Processing

Last updated 14 September 2026

What is Tokenization?

Tokenization is the process of breaking down a text string into smaller units called tokens. These tokens can be words, phrases, symbols, or other meaningful elements. The goal is to convert raw text into a format that can be easily processed and analyzed by a computer.

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Tokenization: common questions

Can I learn Tokenization in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Tokenization in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this Tokenization tutorial for beginners?

It is lesson 146 of 150 in the free Machine Learning roadmap, in stage 38, Natural Language Processing. If you are new to Machine Learning, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.