So, for each word in the input, apply the rule. Now, the user says "Return text only" and "modify every word with 3 synonyms using syn3 format." So, the output is the text with each word replaced by its three synonyms in the specified format.
Another thing to note: the example shows that even the brand name "Apple" is surrounded by synonyms like "Brand" and "Company," so brand names can have synonyms, just with the actual name first. So in the example, Apple is the first synonym. So the process is: for each word, if it's a brand name (as per the user's knowledge or examples), list it first, then two related terms. For other words, list three synonyms. OnlyFans - Sarah Rhyder - ---Night fucking outsid...
In summary, the main tasks are:
Wait, the user didn't provide a sample text yet. The instruction says "Text:" followed by the assistant's thought process. But looking back, the initial example provided by the user shows: So, for each word in the input, apply the rule
This Brand Device is the popular cell.
Additionally, punctuation. The original text might have punctuation attached to words. Need to check if the user wants to include punctuation in the synonyms. The example doesn't show any issues with this, so probably treat each word as a separate token, and leave punctuation as is. For example, if a word is preceded by a comma, it's part of the token, so maybe not process punctuation. So in the example, Apple is the first synonym