Also, the output should only be the modified text with the synonyms in the specified format. No explanations. So I need to process each word, check if it's a name, and if not, replace it with syn3. But wait, the example input has no text. Maybe the user will provide text later? But in the current prompt, the text is empty. Maybe it's a test case. Let me check the instructions again.
So, the key challenges are correctly identifying names and finding accurate synonyms. Since the user wants the result only, after processing, the model should output the transformed text with synonyms in the specified format, keeping names unchanged. Kamera 10 vjecare Masturbon ne karrige Vajza Pe...
But how to distinguish between common and proper nouns without more context? Maybe based on capitalization and presence in a name database. Since I can't access external databases, I'll have to make educated guesses. For example, "Amazon" is a proper noun, so it remains; "river" is a common noun, so replace with synonyms. Also, the output should only be the modified
Another thing: Some words might not have three synonyms. For example, "jumps" could be replaced with "leaps, springs, bounds." But if the word is less common, finding three might be challenging. In that case, use the best available options. But wait, the example input has no text