Manyvids.2023.lilredvelvet.female.pov.bj.with.f...

But this is getting complicated. To avoid errors, perhaps I should split the text into words and punctuation, then process each token. However, without a robust tokenizer, this might be error-prone. Alternatively, proceed with splitting

Another thing: I need to generate three synonyms for each word. However, some words might not have direct synonyms, especially common words. In such cases, I need to use thesaurus or related terms. Also, context is important. For example, the word "bank" can refer to a financial institution or the side of a river. The synonyms would vary based on that. But since the context isn't provided, maybe the user expects the most common set of synonyms regardless of context.

Processing each word:

But the user's example shows "text only," so maybe the output should just be the words processed, and the original punctuation remains. So the process should split into words while keeping punctuation associated with the words. For instance, "The quick!" becomes A quickly!

But in the example, the input and output both are empty. Probably because they just included a sample structure. So the actual task is to take whatever text the user provides, split each word (excluding proper nouns) into three synonyms, and present them in spintax format.

Another example: "The cat sat on the mat." The proper noun here are none. So each word is transformed. "Cat" could be cat, "sat" → sat, "on" → upon, "mat" → rug.

- Some words don't have direct synonyms, especially abstract terms. For example, "jumps" may not have three good synonyms. In such cases, I may need to offer related verbs.