Why is one written word not always one language-model token?

Tokenizers may split words into subword pieces.

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  1. A token can be a subword ✔
  2. Every token is a paragraph
  3. Tokens must be whole sentences

Why: A token is an atomic unit for a particular model, not necessarily a whole word. Uncommon words are often divided into roots, prefixes, or suffixes.

Huh, didn't know that: A common word may remain one token while a rare word becomes several.

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The long word split the bill into subword tokens.
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References

Answer: A token can be a subword. A token is an atomic unit for a particular model, not necessarily a whole word. Uncommon words are often divided into roots, prefixes, or suffixes.

  1. Google Machine Learning Glossary developers.google.com/machine-learning/glossary
    a single word can be a single token or multiple tokens
    Checked 2026-10-10.

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