A tokenizer processes the sentence "The U.S.A. is a country. It's great!" and produces the following list of tokens: `['The', 'U.S.A.', 'is', 'a', 'country', '.', 'It's', 'great', '!']`. Based on this output, describe two specific rules the tokenizer likely followed to separate the original text.

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Tokenization, the process of breaking down text into smaller units called tokens, can be performed using various strategies. A fundamental and straightforward method involves segmenting the text based on its constituent words and punctuation marks.

Methods of Tokenization

A common approach to breaking down text into smaller units involves two steps: first, splitting the text by spaces, and second, separating any punctuation that is attached to the beginning or end of the resulting pieces. Based on this method, how would the sentence "Let's go to the park!" be broken down?

Inferring Tokenization Rules

When using a word-and-punctuation-based method to break down text, the text is always segmented into tokens simply by splitting it at every space character.

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