Another edge case: words with multiple meanings. For example, "bank." Depending on the context, it could be a financial institution or the side of a river. The replacement should respect the context, but without knowing it, it's impossible. So the user may need to be careful with ambiguous terms.
Also, some words are part of fixed phrases. For example, "set up a meeting" – replacing "set" might not make sense unless the context is right. But without knowing context, it's hard to preserve meaning.
Hmm, this could be complex. Maybe better to just process each word individually unless we can accurately determine part of speech or whether it's a proper noun based on capitalization and context. But context could be tricky. 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.
Sample input: "The quick brown fox jumps over the lazy dog, but Alice stays calm." Another edge case: words with multiple meanings
In conclusion, the approach is:
Proper noun "Alice" remains unchanged. All other words are replaced with 3 variants in curly braces. So the user may need to be careful with ambiguous terms
So when the user provides the text, I'll need to process each word: