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.
In conclusion, the approach is:
So when the user provides the text, I'll need to process each word:
Proper noun "Alice" remains unchanged. All other words are replaced with 3 variants in curly braces. Pacote Fotos Mulheres Bucetas Grandes Baixar
Also, there's the possibility of common abbreviations or contractions. For example, "can't" should be replaced? Well, probably not, since it's a contraction. But the user hasn't mentioned handling those, so maybe just treat them as single words.
1. Replace each non-proper noun word with three synonyms or alternatives in the format word3. 2. Proper nouns must remain unchanged. 3. Only process the provided text (they mentioned "text only").
But since in this case, the user is just setting up the task, I need to confirm that I understand the requirements. Let me summarize: So, the plan is: for each word in
Given that, implement a basic approach: if the word is capitalized and not the first word of the text, consider it a proper noun. But that's error-prone. For example, the user might have a title where all words are capitalized, but that's a different case. Since the user didn't specify, maybe better to proceed with replacing all words unless they are known proper nouns. Wait, but how to know? Without a list of proper nouns, it's impossible. So the user might expect that only words that are common proper nouns, like names, places, etc., are left as-is, and others are replaced. But since I don't have access to external databases, I can't determine that. So perhaps the instruction is simply to not modify proper nouns, but how to detect them in the text.
Now, when the user provides the text, I can apply this logic step by step.
Another thing: the user might be doing some kind of text modification for creativity, maybe for writing variations or something like that. So they want options to choose from. But the instruction is just to generate the three variants, not to select them. For example, in the middle of a sentence,
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.
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.