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For generating synonyms, perhaps using a thesaurus API or a built-in synonym finder would be necessary. Since I don't have access to real-time APIs, I have to rely on known equivalents. For example, "change" can become "alter", "modify", and "adjust". But the user's example shows "alter" and "modify" as the first two. I should aim for accuracy and relevance here.

Testing this process with a sample input might help. Let's take a sentence: "John changed the text." The word "John" is a name, so it stays. "Changed" becomes modified, "the" becomes that, "text" becomes document. The result would be: John modified that article.

In conclusion, my approach is:

For generating synonyms, perhaps using a thesaurus API or a built-in synonym finder would be necessary. Since I don't have access to real-time APIs, I have to rely on known equivalents. For example, "change" can become "alter", "modify", and "adjust". But the user's example shows "alter" and "modify" as the first two. I should aim for accuracy and relevance here.

Testing this process with a sample input might help. Let's take a sentence: "John changed the text." The word "John" is a name, so it stays. "Changed" becomes modified, "the" becomes that, "text" becomes document. The result would be: John modified that article.

In conclusion, my approach is:

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