--- Video Strip Poker Hd.2018 - Audrey-tori- Chrissy __top__ 100%

1. Parse the input text word by word. 2. For each word, check if it's a proper noun (capitalized? Maybe, but that's not reliable. Alternatively, check against a list of common proper nouns, but since I don't have access to that, maybe just leave it as-is and assume that any word in the input is common unless specified otherwise). 3. Generate three synonyms or suitable replacements for each word. 4. Format each replacement as v1. 5. Output each word with its variants, in the same order as in the input.

Now, for generating variations, synonyms, or alternatives. For example, "quick" can be "fast, swift, rapid". "The" can be "a, an, the" but in the example, it's "A|An|The". --- Video Strip Poker HD.2018 - Audrey-Tori- Chrissy

So in this case, the user's instruction is to process all words except proper nouns. The example given uses generic nouns, so the model can proceed to replace them. For each word, check if it's a proper noun (capitalized

So, for the task, I need to:

So the task is: for each word in the input, generate three synonyms or alternatives, separated by pipelines, and enclosed in curly braces. Proper nouns are skipped (left as is). The output should be the text with the revisions. So in this case