In any case, the key points are: for each word in the input text, provide three synonyms in the specified format, skip proper nouns, output text only. So when the user provides the actual text, I need to parse each word, check if it's a proper noun (capitalized?), and then find three synonyms. If a word is a proper noun, leave it as is. If not, enclose synonyms in syn1.
This could lead to errors. For example, the first word is capitalized but is a common noun. Hmm. The user probably intended to skip words that are proper nouns regardless of capitalization, but how to detect them without knowing context? Maybe it's better to proceed on a best-effort basis and let the user handle any issues. Also, the user didn't provide any specific text to process, so maybe they expect me to output the format for any given text once they provide it. In any case, the key points are: for
Wait, maybe the user expects that proper nouns are capitalized. So any capitalized word (except maybe the first word of a sentence or after a period) is a proper noun? That's a possible approach. For example, if the text starts with "Apple," it's a company name, but "apple" is a common noun. So in processing, check for capitalization. But in English, the first word of a sentence is capitalized, so I can't just ignore it. Maybe use part-of-speech tagging to determine if it's a proper noun. However, that's beyond my current capabilities unless I have a POS tagger integrated. Since I don't, maybe I can assume that any word with lowercase is not a proper noun. But that might not be accurate. If not, enclose synonyms in syn1
Next, finding three synonyms. I'll need a thesaurus or a synonym API. Since I can't access external sources, I'll have to rely on my internal knowledge base. That might be a problem if there aren't enough synonyms. For example, common words like "happy" are easier, but more specific terms might be challenging. The user might get duplicates if they can't find three distinct synonyms, but the user didn't mention anything about quality, so maybe just three as close as possible. They mentioned skipping proper nouns
Lastly, ensure that the output is text only, no markdown. So the final output should be a string where each word is replaced by its synonyms or left if it's a proper noun.
Also, need to handle different parts of speech. For example, the word "run" can be a verb or a noun. The synonyms might differ based on that. But since the user didn't specify, maybe just provide general synonyms, assuming context isn't critical. However, this could lead to inaccuracies. But given the constraints, perhaps it's acceptable.
Okay, the user wants me to take their text and replace each word with three synonyms in the syn3 format. First, I need to make sure I understand the task correctly. They mentioned skipping proper nouns, so I should identify those and leave them as is. Let's see... The example they provided uses words without proper nouns, so I'll focus on that.
