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Tokenization is the process of breaking a piece of text into smaller units called tokens. These tokens can be words, punctuation marks, or other types of characters. Tokenization is an important step in many natural language processing tasks, such as text classification and machine translation, because it allows the computer to more easily process and analyze the text.

In the statement "I find that the harder I work, the more luck I seems to have," there are 11 tokens. There are eight words ("I", "find", "that", "the", "harder", "I", "work", "the") and three punctuation marks (" ", ",", " ").
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