Kamera 10 Vjecare Masturbon Ne Karrige Vajza Pe... Today

Testing with a sample input would help. Let's take "The Amazon is a big river." Here, "Amazon" is a name (proper noun), so kept. "The," "a" are articles, replaced with synonyms if possible. "Big" becomes enormous, "river" becomes stream? Wait, "canal" is not a synonym for river. Maybe creek is better. Need to be careful with the synonym accuracy.

Also, ensuring that the output is only the modified text without any extra explanation. So the model needs to process each word systematically, check for names, and apply synonyms where possible. Let me outline the steps again: 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. Testing with a sample input would help

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. "Big" becomes enormous, "river" becomes stream