First, I need to process each word in the provided text. I need to check if a word is a proper noun. Proper nouns are usually capitalized and refer to specific names. However, in the example text, there's a keyword "JUY-952-EN-JAVHD-TODAY-1211202101-58-43 Min" which is all caps and likely a specific identifier. The user mentioned not changing proper nouns, so that part is clear.
First, I need to identify all the words that are not proper nouns. Proper nouns here include the specific codes like "JUY-952-EN-JAVHD-TODAY-1211202101-58-43 Min" and "Japanese adult video". These should stay the same. JUY-952-EN-JAVHD-TODAY-1211202101-58-43 Min
Another point is that the text has HTML entities like ’ and “. These should be converted to their actual characters, like “ and „ or whatever the correct ones are. Wait, the user didn't mention anything about HTML entities. The input text has ’ and “. Since the user wants the output in plain text, maybe the HTML entities need to be converted first. For example, ’ becomes ’ and “ becomes “ etc. But the user's instruction says "Text only," so perhaps they just want the output without the HTML entitites, but keeping the actual characters. So when processing, replace those entities with the correct punctuation. First, I need to process each word in the provided text
Also, handling contractions like "It’s" needs to be split into "It is" or "It's", but since the user's example used It’s, I'll follow that approach. However, in the example text, there's a keyword
I also need to maintain the correct part of speech. For instance, verbs like "indicate" might be suggest. Nouns like "suffix" could be ending.
Next, for each non-proper noun, I have to generate three appropriate synonyms or alternatives. For example, "At its core" could become Essentially. I need to ensure the synonyms fit grammatically in the sentence structure.