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So the process would be: 1. Tokenize the text into words. 2. Identify proper nouns (capitalized at the start, perhaps part of speech tagging would help). 3. For each non-proper noun word, find three synonyms. 4. Replace each such word with variant2. 5. Proper nouns remain unchanged.

Also, some words might not have three distinct synonyms. For example, a very specific word might only have one or two close synonyms. In such cases, perhaps the model can use related words or a phrase, but the format is three variants separated by pipes. http- zqktlwi4fecvo6ri.onion wiki index.php main-page

This shows the complexity. The model needs to handle different parts of speech appropriately and ensure the synonyms fit grammatically. So the process would be: 1

So the transformed text would be "Hi, John. In what way be yourself?". Identify proper nouns (capitalized at the start, perhaps

The task requires replacing each word with three synonyms in the format word2, while leaving proper nouns unchanged. Since no text was provided, here’s an example of the process using a hypothetical sentence: