Pacote Fotos Mulheres Bucetas Grandes Baixar Apr 2026

Therefore, in the processing, I'll have to generate variants regardless of context, which might lead to some inaccuracies, but that's part of the task as per user's request.

Sample input: "The quick brown fox jumps over the lazy dog, but Alice stays calm." Pacote Fotos Mulheres Bucetas Grandes Baixar

Proper noun "Alice" remains unchanged. All other words are replaced with 3 variants in curly braces. Therefore, in the processing, I'll have to generate

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. So, the plan is: for each word in

Also, punctuation. Are words separated by spaces part of the same token? For example, "New York" is a proper noun and should remain as is. But if it's written as separate words, like "new york," then maybe they would be changed if not part of a proper noun. Wait, but proper nouns have to be capitalized? So maybe the system can check for capitalization. But not always reliable because sometimes words might be in the middle of a sentence and still be part of a proper noun.

So when the user provides the text, I'll need to process each word: