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For every non-proper noun, I need to find three synonyms or alternatives. That might be tricky for some words. For example, if the word is "happy," possible variants could be content. But I have to check if the word is a proper noun first.

So when the user provides the text, I'll need to process each word: Pacote Fotos Mulheres Bucetas Grandes Baixar

So, the plan is: for each word in the input text, check if it's a proper noun. If not, replace it with three synonyms in the specified format. To detect proper nouns, maybe check if the first letter is capitalized, but that's not always accurate. For example, in the middle of a sentence, a proper noun would still be capitalized. So, maybe use that as a heuristic. If a word is capitalized and not at the beginning of a sentence, it might be a proper noun. But without sentence boundaries, that's hard. So perhaps just assume any capitalized word is a proper noun. But that could miss some. Alternatively, use a named entity recognition tool, but that's beyond the scope here. The user probably expects a simple approach. For every non-proper noun, I need to find