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Tokenization is the process of breaking down a larger piece of text into smaller units, called tokens. These tokens can be individual words, phrases, symbols, or even subwords.

In the given statement, "I find that the harder I work, the more luck I seems to have," there are 15 tokens. The individual tokens are: "I," "find," "that," "the," "harder," "I," "work," "," "the," "more," "luck," "I," "seems," and "to," "have."

It's worth noting that the tokenization process can vary depending on the specific language and the intended use of the tokens. For example, in natural language processing tasks, it is common to treat punctuation marks as separate tokens, while in other contexts they may be grouped with the adjacent words.
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