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But that would not include the original word. However, without the original word, it's harder to see which synonyms belong where. This is a conflict in the user's instruction.

In any case, the assistant is to generate a response where, given a text, words are replaced with synonyms in the specified format, skipping proper nouns.

So for example, if the input text is "The cat is happy," then "The" is a proper noun (capitalized), so skip. "cat" would be cat. "is" would be is. "happy" would be happy. Gmail Password Hacking Software 100 Working Free

Alternatively, maybe the user expects me to recognize proper nouns based on a standard thesaurus or database, but that's not feasible here. So perhaps the user is aware that without a specific thesaurus, we can't do that. Maybe the user is using a tool that can handle synonyms and has a way to detect proper nouns. However, in the current scenario, the assistant has to process the input as per normal.

Now, considering the example given in the query: "each term with 3 synonyms as word2. Skip proper nouns. Output text only." The user provided the text as empty, so maybe they want a sample. But that would not include the original word

Okay, the user wants me to take each word in the provided text and list three synonyms for it, using the format word1. They also mentioned to skip proper nouns and output only text. Let me make sure I understand correctly.

But how do I determine if a word is a proper noun? Proper nouns usually start with a capital letter and are specific names, but sometimes they're not just capitalized. For example, in some contexts, a common noun might be capitalized, but that's rare. So maybe just check if the word starts with a capital letter and is not part of a larger structure like the beginning of a sentence. However, that might not be reliable. For example, "Washington" is a proper noun, but "Washington is a city." would start with a capital letter. So maybe the simplest way in code would be to check if the word is title case (capitalized) but not all caps (like acronyms, which might be proper nouns too). Hmm. In any case, the assistant is to generate

Therefore, the output is a list of lines where each line is synonym3, but the user's instruction says "Skip proper nouns. Output text only."