Free Updatedze 24 03 16 Hazel Moore Stress Response Xxx... Direct

Another thing: when the user says "only output text," they probably mean no explanations, just the transformed text. So after processing, the output should be the original text with synonyms in the specified format, proper nouns unchanged.

But what if a term has limited synonyms? For example, "apple" as a common noun. "Apple" as a company is a proper noun, but if it's used as a fruit, provide synonyms like apple|fruit|pomme. Wait, "pomme" is French, but the user might expect English synonyms. "Pomme" is not a synonym in English. Maybe better to use apple|fruit|crabapple? Not sure. Alternatively, apple|red fruit|cored fruit... Hmm, this is tricky. The quality of synonyms depends on the term. Freeze 24 03 16 Hazel Moore Stress Response XXX...

Each term with 3 synonyms in format opt2. Proper nouns stay. Only output text. Text:

Once that's resolved, for each non-proper-noun term, find three synonyms. How? Using a thesaurus or synonym API. Since I can't access external APIs, I need to rely on internal knowledge. For example, "big" → large|huge|enormous. So the output is: "Alice went|traveled|journeyed to London

But how to detect proper nouns without NLP tools? Maybe by capitalization and position. For example, if a word is capitalized and not at the beginning of the sentence (like "Quick brown fox..."), but "Quick" is part of "The Quick Brown Fox," but that's a common noun. Wait, maybe that's not reliable. It's tricky. The user might be expecting a simpler approach where proper nouns are the ones they explicitly specify, but since that's not the case, I'll assume that any capitalized word is a proper noun unless it's an acronym or starts a sentence. But without context, this is error-prone. For example, the beginning of a sentence would have the first word capitalized, but that's a function word. Maybe the user expects that only the terms that are proper nouns in the text should remain. Since I can't process the entire text's context, I'll assume that any word with a capital letter in the middle of the text is a proper noun. For example, in the input "The cat sat on The Mat," "The Mat" with capital M would be considered proper? No, maybe not. This is ambiguous.

But the user didn't provide their text yet. So when the user sends their Text: [some text], I need to take that into account. For the actual user input, the assistant will process accordingly. For example, "apple" as a common noun

1. Split the input text into tokens (words). 2. For each token, check if it's a proper noun (capitalized or known proper noun). 3. For non-proper-noun tokens, find three synonyms and format them with opt3. 4. Output the result with proper nouns unchanged and other terms replaced as per above.