Private.18.05.19.mia.malkova.fucking.on.a.plane... Direct

1. Tokenize the text into words and punctuation. 2. For each token, check if it's a brand name (which requires prior knowledge of brand names or a database, which I might not have). 3. If it's a brand name, leave it as is. 4. If not, find three synonyms and format them as syn3. 5. Reconstruct the text with the replaced words.

What about contractions like "don't" or "can't"? They might not have easy synonyms. I might need to split them into their base forms. Alternatively, treat them as single entities. But since the user didn't specify, I'll probably replace them with their expanded forms if needed. For example, "don't" could become "do not", but that's two words. Hmm, but the user wants the same number of words with synonyms. So maybe contractions need to be handled carefully. However, without specific examples, I can only make assumptions. Private.18.05.19.Mia.Malkova.Fucking.On.A.Plane...

This might not be 100% accurate but will handle most common cases based on the user's request. For each token, check if it's a brand